From 8016ca1364b19c942c0e62536bc6b8aa7ba75abc Mon Sep 17 00:00:00 2001 From: Raghotham Murthy Date: Wed, 25 Mar 2026 16:24:18 -0700 Subject: [PATCH] Add archived docs: v0.3.0 Pre-built static Docusaurus site for v0.3.0. Served at llamastack.github.io/v0.3.0/ with archived version banner. 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llama-stack-api-weather/src/llama_stack_api_weather/weather.py\nfrom typing import Protocol\n\nfrom llama_stack.providers.datatypes import (\n Api,\n ProviderSpec,\n RemoteProviderSpec,\n)\nfrom llama_stack.schema_utils import webmethod\n\n\ndef available_providers() -> list[ProviderSpec]:\n return [\n RemoteProviderSpec(\n api=Api.weather,\n provider_type="remote::kaze",\n config_class="llama_stack_provider_kaze.KazeProviderConfig",\n adapter_type="kaze",\n module="llama_stack_provider_kaze",\n pip_packages=["llama_stack_provider_kaze"],\n config_class="llama_stack_provider_kaze.KazeProviderConfig",\n ),\n ]\n\n\nclass WeatherProvider(Protocol):\n """\n A protocol for the Weather API.\n """\n\n @webmethod(route="/weather/locations", method="GET")\n async def get_available_locations() -> dict[str, list[str]]:\n """\n Get the available locations.\n """\n ...\n'})}),"\n",(0,r.jsxs)(a.ol,{start:"5",children:["\n",(0,r.jsx)(a.li,{children:"Create the API 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get_adapter_impl(config: KazeProviderConfig, _deps):\n from .kaze import WeatherKazeAdapter\n\n impl = WeatherKazeAdapter(config)\n await impl.initialize()\n return impl\n'})}),"\n",(0,r.jsx)(a.p,{children:"Configuration:"}),"\n",(0,r.jsx)(a.pre,{children:(0,r.jsx)(a.code,{className:"language-python",children:'# llama-stack-provider-kaze/src/llama_stack_provider_kaze/config.py\nfrom pydantic import BaseModel, Field\n\n\nclass KazeProviderConfig(BaseModel):\n """Configuration for the Kaze weather provider."""\n\n base_url: str = Field(\n "https://api.kaze.io/v1",\n description="Base URL for the Kaze weather API",\n )\n'})}),"\n",(0,r.jsx)(a.p,{children:"Main implementation:"}),"\n",(0,r.jsx)(a.pre,{children:(0,r.jsx)(a.code,{className:"language-python",children:'# llama-stack-provider-kaze/src/llama_stack_provider_kaze/kaze.py\nfrom llama_stack_api_weather.api import WeatherProvider\n\nfrom .config import KazeProviderConfig\n\n\nclass WeatherKazeAdapter(WeatherProvider):\n """Kaze weather provider implementation."""\n\n def __init__(\n self,\n config: KazeProviderConfig,\n ) -> None:\n self.config = config\n\n async def initialize(self) -> None:\n pass\n\n async def get_available_locations(self) -> dict[str, list[str]]:\n """Get available weather locations."""\n return {"locations": ["Paris", "Tokyo"]}\n'})}),"\n",(0,r.jsxs)(a.ol,{start:"5",children:["\n",(0,r.jsx)(a.li,{children:"Create the provider specification:"}),"\n"]}),"\n",(0,r.jsx)(a.pre,{children:(0,r.jsx)(a.code,{className:"language-yaml",children:'# ~/.llama/providers.d/remote/weather/kaze.yaml\nadapter_type: kaze\npip_packages: ["llama_stack_provider_kaze"]\nconfig_class: llama_stack_provider_kaze.config.KazeProviderConfig\nmodule: llama_stack_provider_kaze\noptional_api_dependencies: []\n'})}),"\n",(0,r.jsxs)(a.ol,{start:"6",children:["\n",(0,r.jsx)(a.li,{children:"Install the provider package:"}),"\n"]}),"\n",(0,r.jsx)(a.pre,{children:(0,r.jsx)(a.code,{className:"language-bash",children:"uv pip 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It\\nallows you to store and query vectors directly within an SQLite database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Lightweight and easy to use\\n- Fully integrated with Llama Stacks\\n- Uses disk-based storage for persistence, allowing for larger vector storage\\n\\n### Comparison to Faiss\\n\\nThe choice between Faiss and sqlite-vec should be made based on the needs of your application,\\nas they have different strengths.\\n\\n#### Choosing the Right Provider\\n\\nScenario | Recommended Tool | Reason\\n-- |-----------------| --\\nOnline Analytical Processing (OLAP) | Faiss | Fast, in-memory searches\\nOnline Transaction Processing (OLTP) | sqlite-vec | Frequent writes and reads\\nFrequent writes | sqlite-vec | Efficient disk-based storage and incremental indexing\\nLarge datasets | sqlite-vec | Disk-based storage for larger vector storage\\nDatasets that can fit in memory, frequent reads | Faiss | Optimized for speed, indexing, and GPU acceleration\\n\\n#### Empirical Example\\n\\nConsider the histogram below in which 10,000 randomly generated strings were inserted\\nin batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.\\n\\n```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nYou will notice that the average write time for `sqlite-vec` was 788ms, compared to\\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\\nuniformly spread across the [1500, 100000] interval.\\n\\nLooking at each individual write in the order that the documents are inserted you\'ll see the increase in\\nwrite speed as Faiss reindexes the vectors after each write.\\n```{image} ../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nIn comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\\nThe modes of the two distributions highlight the differences much further where Faiss\\nwill likely yield faster read performance.\\n\\n```{image} ../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss read times\\n:width: 400px\\n```\\n\\n## Usage\\n\\nTo use sqlite-vec in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use SQLite-Vec.\\n3. Start storing and querying vectors.\\n\\nThe SQLite-vec provider supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Performs pure vector similarity search using the embeddings.\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Performs full-text search using SQLite\'s FTS5.\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.\\n\\nExample with hybrid search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"hybrid\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n\\n# Using RRF ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"rrf\\", \\"impact_factor\\": 60.0},\\n },\\n)\\n\\n# Using weighted ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"weighted\\", \\"alpha\\": 0.7}, # 70% vector, 30% keyword\\n },\\n)\\n```\\n\\nExample with explicit vector search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"vector\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\nExample with keyword search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"keyword\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\n## Supported Search Modes\\n\\nThe SQLite vector store supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Uses vector similarity to find relevant chunks\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Uses keyword matching to find relevant chunks\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword scores using a ranker\\n\\n### Hybrid Search\\n\\nHybrid search combines the strengths of both vector and keyword search by:\\n- Computing vector similarity scores\\n- Computing keyword match scores\\n- Using a ranker to combine these scores\\n\\nTwo ranker types are supported:\\n\\n1. **RRF (Reciprocal Rank Fusion)**:\\n - Combines ranks from both vector and keyword results\\n - Uses an impact factor (default: 60.0) to control the weight of higher-ranked results\\n - Good for balancing between vector and keyword results\\n - The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) [^1], which found this value to provide optimal performance across various retrieval tasks\\n\\n2. **Weighted**:\\n - Linearly combines normalized vector and keyword scores\\n - Uses an alpha parameter (0-1) to control the blend:\\n - alpha=0: Only use keyword scores\\n - alpha=1: Only use vector scores\\n - alpha=0.5: Equal weight to both (default)\\n\\nExample using RAGQueryConfig with different search modes:\\n\\n```python\\nfrom llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\\n\\n# Vector search\\nconfig = RAGQueryConfig(mode=\\"vector\\", max_chunks=5)\\n\\n# Keyword search\\nconfig = RAGQueryConfig(mode=\\"keyword\\", max_chunks=5)\\n\\n# Hybrid search with custom RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\\n)\\n\\n# Hybrid search with weighted ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\\n)\\n\\n# Hybrid search with default RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\", max_chunks=5\\n) # Will use RRF with impact_factor=60.0\\n```\\n\\nNote: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.\\n\\n## Installation\\n\\nYou can install SQLite-Vec using pip:\\n\\n```bash\\npip install sqlite-vec\\n```\\n\\n## Documentation\\n\\nSee [sqlite-vec\'s GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) for more details about sqlite-vec in general.\\n\\n[^1]: Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). [Reciprocal rank fusion outperforms condorcet and individual rank learning methods](https://dl.acm.org/doi/10.1145/1571941.1572114). In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759).\\n","source":"@site/docs/providers/vector_io/inline_sqlite-vec.mdx","sourceDirName":"providers/vector_io","slug":"/providers/vector_io/inline_sqlite-vec","permalink":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"description":"[SQLite-Vec](https://github.com/asg017/sqlite-vec) is an inline vector database provider for Llama Stack. It\\nallows you to store and query vectors directly within an SQLite database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Lightweight and easy to use\\n- Fully integrated with Llama Stacks\\n- Uses disk-based storage for persistence, allowing for larger vector storage\\n\\n### Comparison to Faiss\\n\\nThe choice between Faiss and sqlite-vec should be made based on the needs of your application,\\nas they have different strengths.\\n\\n#### Choosing the Right Provider\\n\\nScenario | Recommended Tool | Reason\\n-- |-----------------| --\\nOnline Analytical Processing (OLAP) | Faiss | Fast, in-memory searches\\nOnline Transaction Processing (OLTP) | sqlite-vec | Frequent writes and reads\\nFrequent writes | sqlite-vec | Efficient disk-based storage and incremental indexing\\nLarge datasets | sqlite-vec | Disk-based storage for larger vector storage\\nDatasets that can fit in memory, frequent reads | Faiss | Optimized for speed, indexing, and GPU acceleration\\n\\n#### Empirical Example\\n\\nConsider the histogram below in which 10,000 randomly generated strings were inserted\\nin batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.\\n\\n```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nYou will notice that the average write time for `sqlite-vec` was 788ms, compared to\\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\\nuniformly spread across the [1500, 100000] interval.\\n\\nLooking at each individual write in the order that the documents are inserted you\'ll see the increase in\\nwrite speed as Faiss reindexes the vectors after each write.\\n```{image} ../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nIn comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\\nThe modes of the two distributions highlight the differences much further where Faiss\\nwill likely yield faster read performance.\\n\\n```{image} ../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss read times\\n:width: 400px\\n```\\n\\n## Usage\\n\\nTo use sqlite-vec in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use SQLite-Vec.\\n3. Start storing and querying vectors.\\n\\nThe SQLite-vec provider supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Performs pure vector similarity search using the embeddings.\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Performs full-text search using SQLite\'s FTS5.\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.\\n\\nExample with hybrid search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"hybrid\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n\\n# Using RRF ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"rrf\\", \\"impact_factor\\": 60.0},\\n },\\n)\\n\\n# Using weighted ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"weighted\\", \\"alpha\\": 0.7}, # 70% vector, 30% keyword\\n },\\n)\\n```\\n\\nExample with explicit vector search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"vector\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\nExample with keyword search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"keyword\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\n## Supported Search Modes\\n\\nThe SQLite vector store supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Uses vector similarity to find relevant chunks\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Uses keyword matching to find relevant chunks\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword scores using a ranker\\n\\n### Hybrid Search\\n\\nHybrid search combines the strengths of both vector and keyword search by:\\n- Computing vector similarity scores\\n- Computing keyword match scores\\n- Using a ranker to combine these scores\\n\\nTwo ranker types are supported:\\n\\n1. **RRF (Reciprocal Rank Fusion)**:\\n - Combines ranks from both vector and keyword results\\n - Uses an impact factor (default: 60.0) to control the weight of higher-ranked results\\n - Good for balancing between vector and keyword results\\n - The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) [^1], which found this value to provide optimal performance across various retrieval tasks\\n\\n2. **Weighted**:\\n - Linearly combines normalized vector and keyword scores\\n - Uses an alpha parameter (0-1) to control the blend:\\n - alpha=0: Only use keyword scores\\n - alpha=1: Only use vector scores\\n - alpha=0.5: Equal weight to both (default)\\n\\nExample using RAGQueryConfig with different search modes:\\n\\n```python\\nfrom llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\\n\\n# Vector search\\nconfig = RAGQueryConfig(mode=\\"vector\\", max_chunks=5)\\n\\n# Keyword search\\nconfig = RAGQueryConfig(mode=\\"keyword\\", max_chunks=5)\\n\\n# Hybrid search with custom RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\\n)\\n\\n# Hybrid search with weighted ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\\n)\\n\\n# Hybrid search with default RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\", max_chunks=5\\n) # Will use RRF with impact_factor=60.0\\n```\\n\\nNote: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.\\n\\n## Installation\\n\\nYou can install SQLite-Vec using pip:\\n\\n```bash\\npip install sqlite-vec\\n```\\n\\n## Documentation\\n\\nSee [sqlite-vec\'s GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) for more details about sqlite-vec in general.\\n\\n[^1]: Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). [Reciprocal rank fusion outperforms condorcet and individual rank learning methods](https://dl.acm.org/doi/10.1145/1571941.1572114). In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759).\\n","sidebar_label":"Sqlite-Vec","title":"inline::sqlite-vec"},"sidebar":"tutorialSidebar","previous":{"title":"Qdrant","permalink":"/v0.3.0/docs/providers/vector_io/inline_qdrant"},"next":{"title":"Remote - Chromadb","permalink":"/v0.3.0/docs/providers/vector_io/remote_chromadb"}}');var t=r(74848),s=r(28453);const o={description:'[SQLite-Vec](https://github.com/asg017/sqlite-vec) is an inline vector database provider for Llama Stack. It\nallows you to store and query vectors directly within an SQLite database.\nThat means you\'re not limited to storing vectors in memory or in a separate service.\n\n## Features\n\n- Lightweight and easy to use\n- Fully integrated with Llama Stacks\n- Uses disk-based storage for persistence, allowing for larger vector storage\n\n### Comparison to Faiss\n\nThe choice between Faiss and sqlite-vec should be made based on the needs of your application,\nas they have different strengths.\n\n#### Choosing the Right Provider\n\nScenario | Recommended Tool | Reason\n-- |-----------------| --\nOnline Analytical Processing (OLAP) | Faiss | Fast, in-memory searches\nOnline Transaction Processing (OLTP) | sqlite-vec | Frequent writes and reads\nFrequent writes | sqlite-vec | Efficient disk-based storage and incremental indexing\nLarge datasets | sqlite-vec | Disk-based storage for larger vector storage\nDatasets that can fit in memory, frequent reads | Faiss | Optimized for speed, indexing, and GPU acceleration\n\n#### Empirical Example\n\nConsider the histogram below in which 10,000 randomly generated strings were inserted\nin batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.\n\n```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n```\n\nYou will notice that the average write time for `sqlite-vec` was 788ms, compared to\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\nuniformly spread across the [1500, 100000] interval.\n\nLooking at each individual write in the order that the documents are inserted you\'ll see the increase in\nwrite speed as Faiss reindexes the vectors after each write.\n```{image} ../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n```\n\nIn comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\nThe modes of the two distributions highlight the differences much further where Faiss\nwill likely yield faster read performance.\n\n```{image} ../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss read times\n:width: 400px\n```\n\n## Usage\n\nTo use sqlite-vec in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use SQLite-Vec.\n3. Start storing and querying vectors.\n\nThe SQLite-vec provider supports three search modes:\n\n1. **Vector Search** (`mode="vector"`): Performs pure vector similarity search using the embeddings.\n2. **Keyword Search** (`mode="keyword"`): Performs full-text search using SQLite\'s FTS5.\n3. **Hybrid Search** (`mode="hybrid"`): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.\n\nExample with hybrid search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "hybrid", "max_chunks": 3, "score_threshold": 0.7},\n)\n\n# Using RRF ranker\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={\n "mode": "hybrid",\n "max_chunks": 3,\n "score_threshold": 0.7,\n "ranker": {"type": "rrf", "impact_factor": 60.0},\n },\n)\n\n# Using weighted ranker\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={\n "mode": "hybrid",\n "max_chunks": 3,\n "score_threshold": 0.7,\n "ranker": {"type": "weighted", "alpha": 0.7}, # 70% vector, 30% keyword\n },\n)\n```\n\nExample with explicit vector search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "vector", "max_chunks": 3, "score_threshold": 0.7},\n)\n```\n\nExample with keyword search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "keyword", "max_chunks": 3, "score_threshold": 0.7},\n)\n```\n\n## Supported Search Modes\n\nThe SQLite vector store supports three search modes:\n\n1. **Vector Search** (`mode="vector"`): Uses vector similarity to find relevant chunks\n2. **Keyword Search** (`mode="keyword"`): Uses keyword matching to find relevant chunks\n3. **Hybrid Search** (`mode="hybrid"`): Combines both vector and keyword scores using a ranker\n\n### Hybrid Search\n\nHybrid search combines the strengths of both vector and keyword search by:\n- Computing vector similarity scores\n- Computing keyword match scores\n- Using a ranker to combine these scores\n\nTwo ranker types are supported:\n\n1. **RRF (Reciprocal Rank Fusion)**:\n - Combines ranks from both vector and keyword results\n - Uses an impact factor (default: 60.0) to control the weight of higher-ranked results\n - Good for balancing between vector and keyword results\n - The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) [^1], which found this value to provide optimal performance across various retrieval tasks\n\n2. **Weighted**:\n - Linearly combines normalized vector and keyword scores\n - Uses an alpha parameter (0-1) to control the blend:\n - alpha=0: Only use keyword scores\n - alpha=1: Only use vector scores\n - alpha=0.5: Equal weight to both (default)\n\nExample using RAGQueryConfig with different search modes:\n\n```python\nfrom llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\n\n# Vector search\nconfig = RAGQueryConfig(mode="vector", max_chunks=5)\n\n# Keyword search\nconfig = RAGQueryConfig(mode="keyword", max_chunks=5)\n\n# Hybrid search with custom RRF ranker\nconfig = RAGQueryConfig(\n mode="hybrid",\n max_chunks=5,\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\n)\n\n# Hybrid search with weighted ranker\nconfig = RAGQueryConfig(\n mode="hybrid",\n max_chunks=5,\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\n)\n\n# Hybrid search with default RRF ranker\nconfig = RAGQueryConfig(\n mode="hybrid", max_chunks=5\n) # Will use RRF with impact_factor=60.0\n```\n\nNote: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.\n\n## Installation\n\nYou can install SQLite-Vec using pip:\n\n```bash\npip install sqlite-vec\n```\n\n## Documentation\n\nSee [sqlite-vec\'s GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) for more details about sqlite-vec in general.\n\n[^1]: Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). [Reciprocal rank fusion outperforms condorcet and individual rank learning methods](https://dl.acm.org/doi/10.1145/1571941.1572114). In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759).\n',sidebar_label:"Sqlite-Vec",title:"inline::sqlite-vec"},a="inline::sqlite-vec",c={},d=[{value:"Description",id:"description",level:2},{value:"Features",id:"features",level:2},{value:"Comparison to Faiss",id:"comparison-to-faiss",level:3},{value:"Choosing the Right Provider",id:"choosing-the-right-provider",level:4},{value:"Empirical Example",id:"empirical-example",level:4},{value:"Usage",id:"usage",level:2},{value:"Supported Search Modes",id:"supported-search-modes",level:2},{value:"Hybrid Search",id:"hybrid-search",level:3},{value:"Installation",id:"installation",level:2},{value:"Documentation",id:"documentation",level:2},{value:"Configuration",id:"configuration",level:2},{value:"Sample Configuration",id:"sample-configuration",level:2}];function h(e){const n={a:"a",code:"code",h1:"h1",h2:"h2",h3:"h3",h4:"h4",header:"header",li:"li",ol:"ol",p:"p",pre:"pre",section:"section",strong:"strong",sup:"sup",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.header,{children:(0,t.jsx)(n.h1,{id:"inlinesqlite-vec",children:"inline::sqlite-vec"})}),"\n",(0,t.jsx)(n.h2,{id:"description",children:"Description"}),"\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.a,{href:"https://github.com/asg017/sqlite-vec",children:"SQLite-Vec"})," is an inline vector database provider for Llama Stack. It\nallows you to store and query vectors directly within an SQLite database.\nThat means you're not limited to storing vectors in memory or in a separate service."]}),"\n",(0,t.jsx)(n.h2,{id:"features",children:"Features"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Lightweight and easy to use"}),"\n",(0,t.jsx)(n.li,{children:"Fully integrated with Llama Stacks"}),"\n",(0,t.jsx)(n.li,{children:"Uses disk-based storage for persistence, allowing for larger vector storage"}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"comparison-to-faiss",children:"Comparison to Faiss"}),"\n",(0,t.jsx)(n.p,{children:"The choice between Faiss and sqlite-vec should be made based on the needs of your application,\nas they have different strengths."}),"\n",(0,t.jsx)(n.h4,{id:"choosing-the-right-provider",children:"Choosing the Right Provider"}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"Scenario"}),(0,t.jsx)(n.th,{children:"Recommended Tool"}),(0,t.jsx)(n.th,{children:"Reason"})]})}),(0,t.jsxs)(n.tbody,{children:[(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Online Analytical Processing (OLAP)"}),(0,t.jsx)(n.td,{children:"Faiss"}),(0,t.jsx)(n.td,{children:"Fast, in-memory searches"})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Online Transaction Processing (OLTP)"}),(0,t.jsx)(n.td,{children:"sqlite-vec"}),(0,t.jsx)(n.td,{children:"Frequent writes and reads"})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Frequent writes"}),(0,t.jsx)(n.td,{children:"sqlite-vec"}),(0,t.jsx)(n.td,{children:"Efficient disk-based storage and incremental indexing"})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Large datasets"}),(0,t.jsx)(n.td,{children:"sqlite-vec"}),(0,t.jsx)(n.td,{children:"Disk-based storage for larger vector storage"})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Datasets that can fit in memory, frequent reads"}),(0,t.jsx)(n.td,{children:"Faiss"}),(0,t.jsx)(n.td,{children:"Optimized for speed, indexing, and GPU acceleration"})]})]})]}),"\n",(0,t.jsx)(n.h4,{id:"empirical-example",children:"Empirical Example"}),"\n",(0,t.jsxs)(n.p,{children:["Consider the histogram below in which 10,000 randomly generated strings were inserted\nin batches of 100 into both Faiss and sqlite-vec using ",(0,t.jsx)(n.code,{children:"client.tool_runtime.rag_tool.insert()"}),"."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-{image}",metastring:"../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png",children:":alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n"})}),"\n",(0,t.jsxs)(n.p,{children:["You will notice that the average write time for ",(0,t.jsx)(n.code,{children:"sqlite-vec"})," was 788ms, compared to\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\nuniformly spread across the [1500, 100000] interval."]}),"\n",(0,t.jsx)(n.p,{children:"Looking at each individual write in the order that the documents are inserted you'll see the increase in\nwrite speed as Faiss reindexes the vectors after each write."}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-{image}",metastring:"../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png",children:":alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n"})}),"\n",(0,t.jsx)(n.p,{children:"In comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\nThe modes of the two distributions highlight the differences much further where Faiss\nwill likely yield faster read performance."}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-{image}",metastring:"../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png",children:":alt: Comparison of SQLite-Vec and Faiss read times\n:width: 400px\n"})}),"\n",(0,t.jsx)(n.h2,{id:"usage",children:"Usage"}),"\n",(0,t.jsx)(n.p,{children:"To use sqlite-vec in your Llama Stack project, follow these steps:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Install the necessary dependencies."}),"\n",(0,t.jsx)(n.li,{children:"Configure your Llama Stack project to use SQLite-Vec."}),"\n",(0,t.jsx)(n.li,{children:"Start storing and querying vectors."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"The SQLite-vec provider supports three search modes:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Vector Search"})," (",(0,t.jsx)(n.code,{children:'mode="vector"'}),"): Performs pure vector similarity search using the embeddings."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Keyword Search"})," (",(0,t.jsx)(n.code,{children:'mode="keyword"'}),"): Performs full-text search using SQLite's FTS5."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Hybrid Search"})," (",(0,t.jsx)(n.code,{children:'mode="hybrid"'}),"): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates."]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Example with hybrid search:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-python",children:'response = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "hybrid", "max_chunks": 3, "score_threshold": 0.7},\n)\n\n# Using RRF ranker\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={\n "mode": "hybrid",\n "max_chunks": 3,\n "score_threshold": 0.7,\n "ranker": {"type": "rrf", "impact_factor": 60.0},\n },\n)\n\n# Using weighted ranker\nresponse = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={\n "mode": "hybrid",\n "max_chunks": 3,\n "score_threshold": 0.7,\n "ranker": {"type": "weighted", "alpha": 0.7}, # 70% vector, 30% keyword\n },\n)\n'})}),"\n",(0,t.jsx)(n.p,{children:"Example with explicit vector search:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-python",children:'response = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "vector", "max_chunks": 3, "score_threshold": 0.7},\n)\n'})}),"\n",(0,t.jsx)(n.p,{children:"Example with keyword search:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-python",children:'response = await vector_io.query_chunks(\n vector_db_id="my_db",\n query="your query here",\n params={"mode": "keyword", "max_chunks": 3, "score_threshold": 0.7},\n)\n'})}),"\n",(0,t.jsx)(n.h2,{id:"supported-search-modes",children:"Supported Search Modes"}),"\n",(0,t.jsx)(n.p,{children:"The SQLite vector store supports three search modes:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Vector Search"})," (",(0,t.jsx)(n.code,{children:'mode="vector"'}),"): Uses vector similarity to find relevant chunks"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Keyword Search"})," (",(0,t.jsx)(n.code,{children:'mode="keyword"'}),"): Uses keyword matching to find relevant chunks"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Hybrid Search"})," (",(0,t.jsx)(n.code,{children:'mode="hybrid"'}),"): Combines both vector and keyword scores using a ranker"]}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"hybrid-search",children:"Hybrid Search"}),"\n",(0,t.jsx)(n.p,{children:"Hybrid search combines the strengths of both vector and keyword search by:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Computing vector similarity scores"}),"\n",(0,t.jsx)(n.li,{children:"Computing keyword match scores"}),"\n",(0,t.jsx)(n.li,{children:"Using a ranker to combine these scores"}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Two ranker types are supported:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"RRF (Reciprocal Rank Fusion)"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Combines ranks from both vector and keyword results"}),"\n",(0,t.jsx)(n.li,{children:"Uses an impact factor (default: 60.0) to control the weight of higher-ranked results"}),"\n",(0,t.jsx)(n.li,{children:"Good for balancing between vector and keyword results"}),"\n",(0,t.jsxs)(n.li,{children:["The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) ",(0,t.jsx)(n.sup,{children:(0,t.jsx)(n.a,{href:"#user-content-fn-1",id:"user-content-fnref-1","data-footnote-ref":!0,"aria-describedby":"footnote-label",children:"1"})}),", which found this value to provide optimal performance across various retrieval tasks"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Weighted"}),":"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Linearly combines normalized vector and keyword scores"}),"\n",(0,t.jsxs)(n.li,{children:["Uses an alpha parameter (0-1) to control the blend:","\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"alpha=0: Only use keyword scores"}),"\n",(0,t.jsx)(n.li,{children:"alpha=1: Only use vector scores"}),"\n",(0,t.jsx)(n.li,{children:"alpha=0.5: Equal weight to both (default)"}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Example using RAGQueryConfig with different search modes:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-python",children:'from llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\n\n# Vector search\nconfig = RAGQueryConfig(mode="vector", max_chunks=5)\n\n# Keyword search\nconfig = RAGQueryConfig(mode="keyword", max_chunks=5)\n\n# Hybrid search with custom RRF ranker\nconfig = RAGQueryConfig(\n mode="hybrid",\n max_chunks=5,\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\n)\n\n# Hybrid search with weighted ranker\nconfig = RAGQueryConfig(\n mode="hybrid",\n max_chunks=5,\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\n)\n\n# Hybrid search with default RRF ranker\nconfig = RAGQueryConfig(\n mode="hybrid", max_chunks=5\n) # Will use RRF with impact_factor=60.0\n'})}),"\n",(0,t.jsx)(n.p,{children:"Note: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored."}),"\n",(0,t.jsx)(n.h2,{id:"installation",children:"Installation"}),"\n",(0,t.jsx)(n.p,{children:"You can install SQLite-Vec using pip:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"pip install sqlite-vec\n"})}),"\n",(0,t.jsx)(n.h2,{id:"documentation",children:"Documentation"}),"\n",(0,t.jsxs)(n.p,{children:["See ",(0,t.jsx)(n.a,{href:"https://github.com/asg017/sqlite-vec/tree/main",children:"sqlite-vec's GitHub repo"})," for more details about sqlite-vec in general."]}),"\n",(0,t.jsx)(n.h2,{id:"configuration",children:"Configuration"}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"Field"}),(0,t.jsx)(n.th,{children:"Type"}),(0,t.jsx)(n.th,{children:"Required"}),(0,t.jsx)(n.th,{children:"Default"}),(0,t.jsx)(n.th,{children:"Description"})]})}),(0,t.jsxs)(n.tbody,{children:[(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"db_path"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:""})}),(0,t.jsx)(n.td,{children:"No"}),(0,t.jsx)(n.td,{}),(0,t.jsx)(n.td,{children:"Path to the SQLite database file"})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"persistence"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:""})}),(0,t.jsx)(n.td,{children:"No"}),(0,t.jsx)(n.td,{}),(0,t.jsx)(n.td,{children:"Config for KV store backend (SQLite only for now)"})]})]})]}),"\n",(0,t.jsx)(n.h2,{id:"sample-configuration",children:"Sample Configuration"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-yaml",children:"db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/sqlite_vec.db\npersistence:\n namespace: vector_io::sqlite_vec\n backend: kv_default\n"})}),"\n","\n",(0,t.jsxs)(n.section,{"data-footnotes":!0,className:"footnotes",children:[(0,t.jsx)(n.h2,{className:"sr-only",id:"footnote-label",children:"Footnotes"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{id:"user-content-fn-1",children:["\n",(0,t.jsxs)(n.p,{children:["Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). ",(0,t.jsx)(n.a,{href:"https://dl.acm.org/doi/10.1145/1571941.1572114",children:"Reciprocal rank fusion outperforms condorcet and individual rank learning methods"}),". In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759). 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Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},title:"OpenAIMessageParam"},description:"List of messages in the conversation."},frequency_penalty:{type:"number",description:"(Optional) The penalty for repeated tokens."},function_call:{oneOf:[{type:"string"},{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}],description:"(Optional) The function call to use."},functions:{type:"array",items:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}},description:"(Optional) List of functions to use."},logit_bias:{type:"object",additionalProperties:{type:"number"},description:"(Optional) The logit bias to use."},logprobs:{type:"boolean",description:"(Optional) The log probabilities to use."},max_completion_tokens:{type:"integer",description:"(Optional) The maximum number of tokens to generate."},max_tokens:{type:"integer",description:"(Optional) The maximum number of tokens to generate."},n:{type:"integer",description:"(Optional) The number of completions to generate."},parallel_tool_calls:{type:"boolean",description:"(Optional) Whether to parallelize tool calls."},presence_penalty:{type:"number",description:"(Optional) The penalty for repeated tokens."},response_format:{description:"(Optional) The response format to use.",oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to indicate plain text response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatText",description:"Text response format for OpenAI-compatible chat completion requests."},{type:"object",properties:{type:{type:"string",const:"json_schema",default:"json_schema",description:'Must be "json_schema" to indicate structured JSON response format'},json_schema:{description:"The JSON schema specification for the response",type:"object",properties:{name:{type:"string",description:"Name of the schema"},description:{type:"string",description:"(Optional) Description of the schema"},strict:{type:"boolean",description:"(Optional) Whether to enforce strict adherence to the schema"},schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The JSON schema definition"}},additionalProperties:!1,required:["name"],title:"OpenAIJSONSchema"}},additionalProperties:!1,required:["type","json_schema"],title:"OpenAIResponseFormatJSONSchema",description:"JSON schema response format for OpenAI-compatible chat completion requests."},{type:"object",properties:{type:{type:"string",const:"json_object",default:"json_object",description:'Must be "json_object" to indicate generic JSON object response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatJSONObject",description:"JSON object response format for OpenAI-compatible chat completion requests."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to indicate plain text response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatText",description:"Text response format for OpenAI-compatible chat completion requests."},json_schema:{type:"object",properties:{type:{type:"string",const:"json_schema",default:"json_schema",description:'Must be "json_schema" to indicate structured JSON response format'},json_schema:{description:"The JSON schema specification for the response",type:"object",properties:{name:{type:"string",description:"Name of the schema"},description:{type:"string",description:"(Optional) Description of the schema"},strict:{type:"boolean",description:"(Optional) Whether to enforce strict adherence to the schema"},schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The JSON schema definition"}},additionalProperties:!1,required:["name"],title:"OpenAIJSONSchema"}},additionalProperties:!1,required:["type","json_schema"],title:"OpenAIResponseFormatJSONSchema",description:"JSON schema response format for OpenAI-compatible chat completion requests."},json_object:{type:"object",properties:{type:{type:"string",const:"json_object",default:"json_object",description:'Must be "json_object" to indicate generic JSON object response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatJSONObject",description:"JSON object response format for OpenAI-compatible chat completion requests."}}},title:"OpenAIResponseFormatParam"},seed:{type:"integer",description:"(Optional) The seed to use."},stop:{oneOf:[{type:"string"},{type:"array",items:{type:"string"}}],description:"(Optional) The stop tokens to use."},stream:{type:"boolean",description:"(Optional) Whether to stream the response."},stream_options:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The stream options to use."},temperature:{type:"number",description:"(Optional) The temperature to use."},tool_choice:{oneOf:[{type:"string"},{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}],description:"(Optional) The tool choice to use."},tools:{type:"array",items:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}},description:"(Optional) The tools to use."},top_logprobs:{type:"integer",description:"(Optional) The top log probabilities to use."},top_p:{type:"number",description:"(Optional) The top p to use."},user:{type:"string",description:"(Optional) The user to use."}},additionalProperties:!1,required:["model","messages"],title:"OpenAIChatCompletionRequestWithExtraBody",description:"Request parameters for OpenAI-compatible chat completion endpoint."}}},required:!0}}),"\n",(0,n.jsx)(y(),{id:void 0,label:void 0,responses:{200:{description:"An OpenAIChatCompletion.",content:{"application/json":{schema:{oneOf:[{type:"object",properties:{id:{type:"string",description:"The ID of the chat completion"},choices:{type:"array",items:{type:"object",properties:{message:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. 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This is heavily inspired by ",(0,t.jsx)(n.a,{href:"https://github.com/ghostty-org/ghostty/blob/main/CONTRIBUTING.md",children:"Ghostty"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["If in doubt, please open a ",(0,t.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/discussions",children:"discussion"}),"; we can always convert that to an issue later."]}),"\n",(0,t.jsx)(n.h3,{id:"issues",children:"Issues"}),"\n",(0,t.jsx)(n.p,{children:"We use GitHub issues to track public bugs. Please ensure your description is\nclear and has sufficient instructions to be able to reproduce the issue."}),"\n",(0,t.jsxs)(n.p,{children:["Meta has a ",(0,t.jsx)(n.a,{href:"http://facebook.com/whitehat/info",children:"bounty program"})," for the safe\ndisclosure of security bugs. In those cases, please go through the process\noutlined on that page and do not file a public issue."]}),"\n",(0,t.jsx)(n.h3,{id:"contributor-license-agreement-cla",children:'Contributor License Agreement ("CLA")'}),"\n",(0,t.jsx)(n.p,{children:"In order to accept your pull request, we need you to submit a CLA. You only need\nto do this once to work on any of Meta's open source projects."}),"\n",(0,t.jsxs)(n.p,{children:["Complete your CLA here: ",(0,t.jsx)(n.a,{href:"https://code.facebook.com/cla",children:"https://code.facebook.com/cla"})]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"I'd like to contribute!"})}),"\n",(0,t.jsx)(n.p,{children:'If you are new to the project, start by looking at the issues tagged with "good first issue". If you\'re interested\nleave a comment on the issue and a triager will assign it to you.'}),"\n",(0,t.jsx)(n.p,{children:"Please avoid picking up too many issues at once. This helps you stay focused and ensures that others in the community also have opportunities to contribute."}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Try to work on only 1\u20132 issues at a time, especially if you\u2019re still getting familiar with the codebase."}),"\n",(0,t.jsx)(n.li,{children:"Before taking an issue, check if it\u2019s already assigned or being actively discussed."}),"\n",(0,t.jsx)(n.li,{children:"If you\u2019re blocked or can\u2019t continue with an issue, feel free to unassign yourself or leave a comment so others can step in."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"I have a bug!"})}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Search the issue tracker and discussions for similar issues."}),"\n",(0,t.jsx)(n.li,{children:"If you don't have steps to reproduce, open a discussion."}),"\n",(0,t.jsx)(n.li,{children:"If you have steps to reproduce, open an issue."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"I have an idea for a feature!"})}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"Open a discussion."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"I've implemented a feature!"})}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsx)(n.li,{children:"If there is an issue for the feature, open a pull request."}),"\n",(0,t.jsx)(n.li,{children:"If there is no issue, open a discussion and link to your branch."}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"I have a question!"})}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["Open a discussion or use ",(0,t.jsx)(n.a,{href:"https://discord.gg/llama-stack",children:"Discord"}),"."]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.strong,{children:"Opening a Pull Request"})}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["Fork the repo and create your branch from ",(0,t.jsx)(n.code,{children:"main"}),"."]}),"\n",(0,t.jsx)(n.li,{children:"If you've changed APIs, update the documentation."}),"\n",(0,t.jsx)(n.li,{children:"Ensure the test suite passes."}),"\n",(0,t.jsxs)(n.li,{children:["Make sure your code lints using ",(0,t.jsx)(n.code,{children:"pre-commit"}),"."]}),"\n",(0,t.jsx)(n.li,{children:'If you haven\'t already, complete the Contributor License Agreement ("CLA").'}),"\n",(0,t.jsxs)(n.li,{children:["Ensure your pull request follows the ",(0,t.jsx)(n.a,{href:"https://www.conventionalcommits.org/en/v1.0.0/",children:"conventional commits format"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:["Ensure your pull request follows the ",(0,t.jsx)(n.a,{href:"#coding-style",children:"coding style"}),"."]}),"\n"]}),"\n",(0,t.jsx)(n.p,{children:"Please keep pull requests (PRs) small and focused. If you have a large set of changes, consider splitting them into logically grouped, smaller PRs to facilitate review and testing."}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-{tip}",children:"As a general guideline:\n- Experienced contributors should try to keep no more than 5 open PRs at a time.\n- New contributors are encouraged to have only one open PR at a time until they\u2019re familiar with the codebase and process.\n"})}),"\n",(0,t.jsx)(n.h2,{id:"repository-guidelines",children:"Repository guidelines"}),"\n",(0,t.jsx)(n.h3,{id:"coding-style",children:"Coding Style"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:"Comments should provide meaningful insights into the code. Avoid filler comments that simply\ndescribe the next step, as they create unnecessary clutter, same goes for docstrings."}),"\n",(0,t.jsx)(n.li,{children:"Prefer comments to clarify surprising behavior and/or relationships between parts of the code\nrather than explain what the next line of code does."}),"\n",(0,t.jsxs)(n.li,{children:["Catching exceptions, prefer using a specific exception type rather than a broad catch-all like\n",(0,t.jsx)(n.code,{children:"Exception"}),"."]}),"\n",(0,t.jsx)(n.li,{children:'Error messages should be prefixed with "Failed to ..."'}),"\n",(0,t.jsx)(n.li,{children:"4 spaces for indentation rather than tab"}),"\n",(0,t.jsxs)(n.li,{children:["When using ",(0,t.jsx)(n.code,{children:"# noqa"})," to suppress a style or linter warning, include a comment explaining the\njustification for bypassing the check."]}),"\n",(0,t.jsxs)(n.li,{children:["When using ",(0,t.jsx)(n.code,{children:"# type: ignore"})," to suppress a mypy warning, include a comment explaining the\njustification for bypassing the check."]}),"\n",(0,t.jsx)(n.li,{children:"Don't use unicode characters in the codebase. ASCII-only is preferred for compatibility or\nreadability reasons."}),"\n",(0,t.jsxs)(n.li,{children:["Providers configuration class should be Pydantic Field class. It should have a ",(0,t.jsx)(n.code,{children:"description"})," field\nthat describes the configuration. These descriptions will be used to generate the provider\ndocumentation."]}),"\n",(0,t.jsx)(n.li,{children:"When possible, use keyword arguments only when calling functions."}),"\n",(0,t.jsx)(n.li,{children:"Llama Stack utilizes custom Exception classes for certain Resources that should be used where applicable."}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"license",children:"License"}),"\n",(0,t.jsx)(n.p,{children:"By contributing to Llama, you agree that your contributions will be licensed\nunder the LICENSE file in the root directory of this source tree."}),"\n",(0,t.jsx)(n.h2,{id:"common-tasks",children:"Common Tasks"}),"\n",(0,t.jsx)(n.p,{children:"Some tips about common tasks you work on while contributing to Llama Stack:"}),"\n",(0,t.jsx)(n.h3,{id:"setup-for-development",children:"Setup for development"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"git clone https://github.com/meta-llama/llama-stack.git\ncd llama-stack\nuv run llama stack list-deps | xargs -L1 uv pip install\n\n# (Optional) If you are developing the llama-stack-client-python package, you can add it as an editable package.\ngit clone https://github.com/meta-llama/llama-stack-client-python.git\nuv add --editable ../llama-stack-client-python\n"})}),"\n",(0,t.jsx)(n.h3,{id:"updating-distribution-configurations",children:"Updating distribution configurations"}),"\n",(0,t.jsxs)(n.p,{children:["If you have made changes to a provider's configuration in any form (introducing a new config key, or\nchanging models, etc.), you should run ",(0,t.jsx)(n.code,{children:"./scripts/distro_codegen.py"})," to re-generate various YAML\nfiles as well as the documentation. You should not change ",(0,t.jsx)(n.code,{children:"docs/source/.../distributions/"})," files\nmanually as they are auto-generated."]}),"\n",(0,t.jsx)(n.h3,{id:"updating-the-provider-documentation",children:"Updating the provider documentation"}),"\n",(0,t.jsxs)(n.p,{children:["If you have made changes to a provider's configuration, you should run ",(0,t.jsx)(n.code,{children:"./scripts/provider_codegen.py"}),"\nto re-generate the documentation. You should not change ",(0,t.jsx)(n.code,{children:"docs/source/.../providers/"}),' files manually\nas they are auto-generated.\nNote that the provider "description" field will be used to generate the provider documentation.']}),"\n",(0,t.jsx)(n.h3,{id:"building-the-documentation",children:"Building the Documentation"}),"\n",(0,t.jsxs)(n.p,{children:["If you are making changes to the documentation at ",(0,t.jsx)(n.a,{href:"https://llamastack.github.io/",children:"https://llamastack.github.io/"}),", you can use the following command to build the documentation and preview your changes."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"# This rebuilds the documentation pages and the OpenAPI spec.\nnpm install\nnpm run gen-api-docs all\nnpm run build\n\n# This will start a local server (usually at http://127.0.0.1:3000).\nnpm run serve\n"})}),"\n",(0,t.jsx)(n.h3,{id:"update-api-documentation",children:"Update API Documentation"}),"\n",(0,t.jsx)(n.p,{children:"If you modify or add new API endpoints, update the API documentation accordingly. You can do this by running the following command:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"uv run ./docs/openapi_generator/run_openapi_generator.sh\n"})}),"\n",(0,t.jsxs)(n.p,{children:["The generated API schema will be available in ",(0,t.jsx)(n.code,{children:"docs/static/"}),". Make sure to review the changes before committing."]}),"\n",(0,t.jsx)(n.h2,{id:"adding-a-new-provider",children:"Adding a New Provider"}),"\n",(0,t.jsx)(n.p,{children:"See:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.a,{href:"/v0.3.0/docs/contributing/new_api_provider",children:"Adding a New API Provider Page"})," which describes how to add new API providers to the Stack."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.a,{href:"/v0.3.0/docs/contributing/new_vector_database",children:"Vector Database Page"})," which describes how to add a new vector databases with Llama Stack."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.a,{href:"/docs/providers/external/",children:"External Provider Page"})," which describes how to add external providers to the Stack."]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"testing",children:"Testing"}),"\n",(0,t.jsxs)(n.p,{children:["See the ",(0,t.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/tests/README.md",children:"Testing README"})," for detailed testing information."]}),"\n",(0,t.jsx)(n.h2,{id:"advanced-topics",children:"Advanced Topics"}),"\n",(0,t.jsx)(n.p,{children:"For developers who need deeper understanding of the testing system internals:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.a,{href:"/v0.3.0/docs/contributing/testing/record-replay",children:"Record-Replay Testing"})}),"\n"]}),"\n",(0,t.jsx)(n.h3,{id:"benchmarking",children:"Benchmarking"}),"\n",(0,t.jsxs)(n.p,{children:["See the ",(0,t.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/benchmarking/k8s-benchmark/README.md",children:"Benchmarking README"})," for benchmarking information."]})]})}function h(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(d,{...e})}):d(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/2ecc9628.4f30c851.js b/docs/v0.3.0/assets/js/2ecc9628.4f30c851.js new file mode 100644 index 00000000..42330d27 --- /dev/null +++ b/docs/v0.3.0/assets/js/2ecc9628.4f30c851.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[8593],{6993:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>c,contentTitle:()=>t,default:()=>u,frontMatter:()=>l,metadata:()=>s,toc:()=>o});const s=JSON.parse('{"id":"advanced_apis/scoring","title":"Scoring","description":"The Scoring API in Llama Stack allows you to evaluate outputs of your GenAI system using various scoring functions and metrics. This section covers all available scoring providers and their configuration.","source":"@site/docs/advanced_apis/scoring.mdx","sourceDirName":"advanced_apis","slug":"/advanced_apis/scoring","permalink":"/v0.3.0/docs/advanced_apis/scoring","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{},"sidebar":"tutorialSidebar","previous":{"title":"Evaluation","permalink":"/v0.3.0/docs/advanced_apis/evaluation"},"next":{"title":"Overview","permalink":"/v0.3.0/docs/deploying/"}}');var r=i(74848),a=i(28453);const l={},t="Scoring",c={},o=[{value:"Overview",id:"overview",level:2},{value:"Basic Scoring",id:"basic-scoring",level:2},{value:"Configuration",id:"configuration",level:3},{value:"Features",id:"features",level:3},{value:"Use Cases",id:"use-cases",level:3},{value:"Braintrust",id:"braintrust",level:2},{value:"Configuration",id:"configuration-1",level:3},{value:"Sample Configuration",id:"sample-configuration",level:3},{value:"Features",id:"features-1",level:3},{value:"Use Cases",id:"use-cases-1",level:3},{value:"LLM-as-Judge",id:"llm-as-judge",level:2},{value:"Configuration",id:"configuration-2",level:3},{value:"Features",id:"features-2",level:3},{value:"Use Cases",id:"use-cases-2",level:3},{value:"Usage Examples",id:"usage-examples",level:2},{value:"Basic Scoring Example",id:"basic-scoring-example",level:3},{value:"LLM-as-Judge Example",id:"llm-as-judge-example",level:3},{value:"Braintrust Integration Example",id:"braintrust-integration-example",level:3},{value:"Best Practices",id:"best-practices",level:2},{value:"Integration with Evaluation",id:"integration-with-evaluation",level:2},{value:"Next Steps",id:"next-steps",level:2}];function d(e){const n={a:"a",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.header,{children:(0,r.jsx)(n.h1,{id:"scoring",children:"Scoring"})}),"\n",(0,r.jsx)(n.p,{children:"The Scoring API in Llama Stack allows you to evaluate outputs of your GenAI system using various scoring functions and metrics. This section covers all available scoring providers and their configuration."}),"\n",(0,r.jsx)(n.h2,{id:"overview",children:"Overview"}),"\n",(0,r.jsx)(n.p,{children:"Llama Stack provides multiple scoring providers:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Basic"})," (",(0,r.jsx)(n.code,{children:"inline::basic"}),") - Simple evaluation metrics and scoring functions"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Braintrust"})," (",(0,r.jsx)(n.code,{children:"inline::braintrust"}),") - Advanced evaluation using the Braintrust platform"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"LLM-as-Judge"})," (",(0,r.jsx)(n.code,{children:"inline::llm-as-judge"}),") - Uses language models to evaluate responses"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["The Scoring API is associated with ",(0,r.jsx)(n.code,{children:"ScoringFunction"})," resources and provides a suite of out-of-the-box scoring functions. You can also add custom evaluators to meet specific evaluation needs."]}),"\n",(0,r.jsx)(n.h2,{id:"basic-scoring",children:"Basic Scoring"}),"\n",(0,r.jsx)(n.p,{children:"Basic scoring provider for simple evaluation metrics and scoring functions. This provider offers fundamental scoring capabilities without external dependencies."}),"\n",(0,r.jsx)(n.h3,{id:"configuration",children:"Configuration"}),"\n",(0,r.jsx)(n.p,{children:"No configuration required - this provider works out of the box."}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"{}\n"})}),"\n",(0,r.jsx)(n.h3,{id:"features",children:"Features"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Simple evaluation metrics (accuracy, precision, recall, F1-score)"}),"\n",(0,r.jsx)(n.li,{children:"String matching and similarity metrics"}),"\n",(0,r.jsx)(n.li,{children:"Basic statistical scoring functions"}),"\n",(0,r.jsx)(n.li,{children:"No external dependencies required"}),"\n",(0,r.jsx)(n.li,{children:"Fast execution for standard metrics"}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"use-cases",children:"Use Cases"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Quick evaluation of basic accuracy metrics"}),"\n",(0,r.jsx)(n.li,{children:"String similarity comparisons"}),"\n",(0,r.jsx)(n.li,{children:"Statistical analysis of model outputs"}),"\n",(0,r.jsx)(n.li,{children:"Development and testing scenarios"}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"braintrust",children:"Braintrust"}),"\n",(0,r.jsxs)(n.p,{children:["Braintrust scoring provider for evaluation and scoring using the ",(0,r.jsx)(n.a,{href:"https://braintrustdata.com/",children:"Braintrust platform"}),". Braintrust provides advanced evaluation capabilities and experiment tracking."]}),"\n",(0,r.jsx)(n.h3,{id:"configuration-1",children:"Configuration"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Field"}),(0,r.jsx)(n.th,{children:"Type"}),(0,r.jsx)(n.th,{children:"Required"}),(0,r.jsx)(n.th,{children:"Default"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsx)(n.tbody,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"openai_api_key"})}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"str | None"})}),(0,r.jsx)(n.td,{children:"No"}),(0,r.jsx)(n.td,{}),(0,r.jsx)(n.td,{children:"The OpenAI API Key for LLM-powered evaluations"})]})})]}),"\n",(0,r.jsx)(n.h3,{id:"sample-configuration",children:"Sample Configuration"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"openai_api_key: ${env.OPENAI_API_KEY:=}\n"})}),"\n",(0,r.jsx)(n.h3,{id:"features-1",children:"Features"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Advanced evaluation metrics"}),"\n",(0,r.jsx)(n.li,{children:"Experiment tracking and comparison"}),"\n",(0,r.jsx)(n.li,{children:"LLM-powered evaluation functions"}),"\n",(0,r.jsx)(n.li,{children:"Integration with Braintrust's evaluation suite"}),"\n",(0,r.jsx)(n.li,{children:"Detailed scoring analytics and insights"}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"use-cases-1",children:"Use Cases"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Production evaluation pipelines"}),"\n",(0,r.jsx)(n.li,{children:"A/B testing of model versions"}),"\n",(0,r.jsx)(n.li,{children:"Advanced scoring with custom metrics"}),"\n",(0,r.jsx)(n.li,{children:"Detailed evaluation reporting and analysis"}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"llm-as-judge",children:"LLM-as-Judge"}),"\n",(0,r.jsx)(n.p,{children:"LLM-as-judge scoring provider that uses language models to evaluate and score responses. This approach leverages the reasoning capabilities of large language models to assess quality, relevance, and other subjective metrics."}),"\n",(0,r.jsx)(n.h3,{id:"configuration-2",children:"Configuration"}),"\n",(0,r.jsx)(n.p,{children:"No configuration required - this provider works out of the box."}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"{}\n"})}),"\n",(0,r.jsx)(n.h3,{id:"features-2",children:"Features"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Subjective quality evaluation using LLMs"}),"\n",(0,r.jsx)(n.li,{children:"Flexible evaluation criteria definition"}),"\n",(0,r.jsx)(n.li,{children:"Natural language evaluation explanations"}),"\n",(0,r.jsx)(n.li,{children:"Support for complex evaluation scenarios"}),"\n",(0,r.jsx)(n.li,{children:"Contextual understanding of responses"}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"use-cases-2",children:"Use Cases"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Evaluating response quality and relevance"}),"\n",(0,r.jsx)(n.li,{children:"Assessing creativity and coherence"}),"\n",(0,r.jsx)(n.li,{children:"Subjective metric evaluation"}),"\n",(0,r.jsx)(n.li,{children:"Human-like judgment for complex tasks"}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"usage-examples",children:"Usage Examples"}),"\n",(0,r.jsx)(n.h3,{id:"basic-scoring-example",children:"Basic Scoring Example"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import LlamaStackClient\n\nclient = LlamaStackClient(base_url="http://localhost:8321")\n\n# Register a basic accuracy scoring function\nclient.scoring_functions.register(\n scoring_function_id="basic_accuracy",\n provider_id="basic",\n provider_scoring_function_id="accuracy"\n)\n\n# Use the scoring function\nresult = client.scoring.score(\n input_rows=[\n {"expected": "Paris", "actual": "Paris"},\n {"expected": "London", "actual": "Paris"}\n ],\n scoring_function_id="basic_accuracy"\n)\nprint(f"Accuracy: {result.results[0].score}")\n'})}),"\n",(0,r.jsx)(n.h3,{id:"llm-as-judge-example",children:"LLM-as-Judge Example"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'# Register an LLM-as-judge scoring function\nclient.scoring_functions.register(\n scoring_function_id="quality_judge",\n provider_id="llm_judge",\n provider_scoring_function_id="response_quality",\n params={\n "criteria": "Evaluate response quality, relevance, and helpfulness",\n "scale": "1-10"\n }\n)\n\n# Score responses using LLM judgment\nresult = client.scoring.score(\n input_rows=[{\n "query": "What is machine learning?",\n "response": "Machine learning is a subset of AI that enables computers to learn patterns from data..."\n }],\n scoring_function_id="quality_judge"\n)\n'})}),"\n",(0,r.jsx)(n.h3,{id:"braintrust-integration-example",children:"Braintrust Integration Example"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'# Register a Braintrust scoring function\nclient.scoring_functions.register(\n scoring_function_id="braintrust_eval",\n provider_id="braintrust",\n provider_scoring_function_id="semantic_similarity"\n)\n\n# Run evaluation with Braintrust\nresult = client.scoring.score(\n input_rows=[{\n "reference": "The capital of France is Paris",\n "candidate": "Paris is the capital city of France"\n }],\n scoring_function_id="braintrust_eval"\n)\n'})}),"\n",(0,r.jsx)(n.h2,{id:"best-practices",children:"Best Practices"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Choose appropriate providers"}),": Use Basic for simple metrics, Braintrust for advanced analytics, LLM-as-Judge for subjective evaluation"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Define clear criteria"}),": When using LLM-as-Judge, provide specific evaluation criteria and scales"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Validate scoring functions"}),": Test your scoring functions with known examples before production use"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Monitor performance"}),": Track scoring performance and adjust thresholds based on results"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Combine multiple metrics"}),": Use different scoring providers together for comprehensive evaluation"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"integration-with-evaluation",children:"Integration with Evaluation"}),"\n",(0,r.jsxs)(n.p,{children:["The Scoring API works closely with the ",(0,r.jsx)(n.a,{href:"/v0.3.0/docs/advanced_apis/evaluation",children:"Evaluation"})," API to provide comprehensive evaluation workflows:"]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Datasets"})," are loaded via the DatasetIO API"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Evaluation"})," generates model outputs using the Eval API"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Scoring"})," evaluates the quality of outputs using various scoring functions"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Results"})," are aggregated and reported for analysis"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"next-steps",children:"Next Steps"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Check out the ",(0,r.jsx)(n.a,{href:"/v0.3.0/docs/advanced_apis/evaluation",children:"Evaluation"})," guide for running complete evaluations"]}),"\n",(0,r.jsxs)(n.li,{children:["See the ",(0,r.jsx)(n.a,{href:"/v0.3.0/docs/building_applications/evals",children:"Building Applications - Evaluation"})," guide for application examples"]}),"\n",(0,r.jsxs)(n.li,{children:["Review the ",(0,r.jsx)(n.a,{href:"../references/evals_reference/",children:"Evaluation Reference"})," for comprehensive scoring function usage"]}),"\n",(0,r.jsxs)(n.li,{children:["Explore the ",(0,r.jsx)(n.a,{href:"../concepts/evaluation_concepts",children:"Evaluation Concepts"})," for detailed conceptual information"]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,a.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(d,{...e})}):d(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/3009c6fd.5c96b2a9.js b/docs/v0.3.0/assets/js/3009c6fd.5c96b2a9.js new file mode 100644 index 00000000..10eecd66 --- /dev/null +++ b/docs/v0.3.0/assets/js/3009c6fd.5c96b2a9.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[374],{24248:(t,e,i)=>{i.r(e),i.d(e,{assets:()=>f,contentTitle:()=>h,default:()=>R,frontMatter:()=>u,metadata:()=>o,toc:()=>b});const o=JSON.parse('{"id":"api-experimental/retrieve-an-agent-turn-by-its-id","title":"Retrieve an agent turn by 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).',oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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OpenTelemetry.","sidebar":"tutorialSidebar"},"providers/tool_runtime/index":{"id":"providers/tool_runtime/index","title":"Tool_Runtime","description":"Overview","sidebar":"tutorialSidebar"},"providers/tool_runtime/inline_rag-runtime":{"id":"providers/tool_runtime/inline_rag-runtime","title":"inline::rag-runtime","description":"RAG (Retrieval-Augmented Generation) tool runtime for document ingestion, chunking, and semantic search.","sidebar":"tutorialSidebar"},"providers/tool_runtime/remote_bing-search":{"id":"providers/tool_runtime/remote_bing-search","title":"remote::bing-search","description":"Bing Search tool for web search capabilities using Microsoft\'s search engine.","sidebar":"tutorialSidebar"},"providers/tool_runtime/remote_brave-search":{"id":"providers/tool_runtime/remote_brave-search","title":"remote::brave-search","description":"Brave Search tool for web search capabilities with privacy-focused results.","sidebar":"tutorialSidebar"},"providers/tool_runtime/remote_model-context-protocol":{"id":"providers/tool_runtime/remote_model-context-protocol","title":"remote::model-context-protocol","description":"Model Context Protocol (MCP) tool for standardized tool calling and context management.","sidebar":"tutorialSidebar"},"providers/tool_runtime/remote_tavily-search":{"id":"providers/tool_runtime/remote_tavily-search","title":"remote::tavily-search","description":"Tavily Search tool for AI-optimized web search with structured results.","sidebar":"tutorialSidebar"},"providers/tool_runtime/remote_wolfram-alpha":{"id":"providers/tool_runtime/remote_wolfram-alpha","title":"remote::wolfram-alpha","description":"Wolfram Alpha tool for computational knowledge and mathematical calculations.","sidebar":"tutorialSidebar"},"providers/vector_io/index":{"id":"providers/vector_io/index","title":"Vector_Io","description":"Overview","sidebar":"tutorialSidebar"},"providers/vector_io/inline_chromadb":{"id":"providers/vector_io/inline_chromadb","title":"inline::chromadb","description":"[Chroma](https://www.trychroma.com/) is an inline and remote vector\\ndatabase provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\nChroma supports:\\n- Store embeddings and their metadata\\n- Vector search\\n- Full-text search\\n- Document storage\\n- Metadata filtering\\n- Multi-modal retrieval\\n\\n## Usage\\n\\nTo use Chrome in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use chroma.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nYou can install chroma using pip:\\n\\n```bash\\npip install chromadb\\n```\\n\\n## Documentation\\nSee [Chroma\'s documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.\\n","sidebar":"tutorialSidebar"},"providers/vector_io/inline_faiss":{"id":"providers/vector_io/inline_faiss","title":"inline::faiss","description":"[Faiss](https://github.com/facebookresearch/faiss) is an inline vector database provider for Llama Stack. It\\nallows you to store and query vectors directly in memory.\\nThat means you\'ll get fast and efficient vector retrieval.\\n\\n## Features\\n\\n- Lightweight and easy to use\\n- Fully integrated with Llama Stack\\n- GPU support\\n- **Vector search** - FAISS supports pure vector similarity search using embeddings\\n\\n## Search Modes\\n\\n**Supported:**\\n- **Vector Search** (`mode=\\"vector\\"`): Performs vector similarity search using embeddings\\n\\n**Not Supported:**\\n- **Keyword Search** (`mode=\\"keyword\\"`): Not supported by FAISS\\n- **Hybrid Search** (`mode=\\"hybrid\\"`): Not supported by FAISS\\n\\n> **Note**: FAISS is designed as a pure vector similarity search library. See the [FAISS GitHub repository](https://github.com/facebookresearch/faiss) for more details about FAISS\'s core functionality.\\n\\n## Usage\\n\\nTo use Faiss in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use Faiss.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nYou can install Faiss using pip:\\n\\n```bash\\npip install faiss-cpu\\n```\\n## Documentation\\nSee [Faiss\' documentation](https://faiss.ai/) or the [Faiss Wiki](https://github.com/facebookresearch/faiss/wiki) for\\nmore details about Faiss in general.\\n","sidebar":"tutorialSidebar"},"providers/vector_io/inline_meta-reference":{"id":"providers/vector_io/inline_meta-reference","title":"inline::meta-reference","description":"Meta\'s reference implementation of a vector database.","sidebar":"tutorialSidebar"},"providers/vector_io/inline_milvus":{"id":"providers/vector_io/inline_milvus","title":"inline::milvus","description":"Please refer to the remote provider documentation.","sidebar":"tutorialSidebar"},"providers/vector_io/inline_qdrant":{"id":"providers/vector_io/inline_qdrant","title":"inline::qdrant","description":"[Qdrant](https://qdrant.tech/documentation/) is an inline and remote vector database provider for Llama Stack. It\\nallows you to store and query vectors directly in memory.\\nThat means you\'ll get fast and efficient vector retrieval.\\n\\n> By default, Qdrant stores vectors in RAM, delivering incredibly fast access for datasets that fit comfortably in\\n> memory. But when your dataset exceeds RAM capacity, Qdrant offers Memmap as an alternative.\\n>\\n> \\\\[[An Introduction to Vector Databases](https://qdrant.tech/articles/what-is-a-vector-database/)\\\\]\\n\\n\\n\\n## Features\\n\\n- Lightweight and easy to use\\n- Fully integrated with Llama Stack\\n- Apache 2.0 license terms\\n- Store embeddings and their metadata\\n- Supports search by\\n [Keyword](https://qdrant.tech/articles/qdrant-introduces-full-text-filters-and-indexes/)\\n and [Hybrid](https://qdrant.tech/articles/hybrid-search/#building-a-hybrid-search-system-in-qdrant) search\\n- [Multilingual and Multimodal retrieval](https://qdrant.tech/documentation/multimodal-search/)\\n- [Medatata filtering](https://qdrant.tech/articles/vector-search-filtering/)\\n- [GPU support](https://qdrant.tech/documentation/guides/running-with-gpu/)\\n\\n## Usage\\n\\nTo use Qdrant in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use Qdrant.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nYou can install Qdrant using docker:\\n\\n```bash\\ndocker pull qdrant/qdrant\\n```\\n## Documentation\\nSee the [Qdrant documentation](https://qdrant.tech/documentation/) for more details about Qdrant in general.\\n","sidebar":"tutorialSidebar"},"providers/vector_io/inline_sqlite_vec":{"id":"providers/vector_io/inline_sqlite_vec","title":"inline::sqlite_vec","description":"Please refer to the sqlite-vec provider documentation."},"providers/vector_io/inline_sqlite-vec":{"id":"providers/vector_io/inline_sqlite-vec","title":"inline::sqlite-vec","description":"[SQLite-Vec](https://github.com/asg017/sqlite-vec) is an inline vector database provider for Llama Stack. It\\nallows you to store and query vectors directly within an SQLite database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Lightweight and easy to use\\n- Fully integrated with Llama Stacks\\n- Uses disk-based storage for persistence, allowing for larger vector storage\\n\\n### Comparison to Faiss\\n\\nThe choice between Faiss and sqlite-vec should be made based on the needs of your application,\\nas they have different strengths.\\n\\n#### Choosing the Right Provider\\n\\nScenario | Recommended Tool | Reason\\n-- |-----------------| --\\nOnline Analytical Processing (OLAP) | Faiss | Fast, in-memory searches\\nOnline Transaction Processing (OLTP) | sqlite-vec | Frequent writes and reads\\nFrequent writes | sqlite-vec | Efficient disk-based storage and incremental indexing\\nLarge datasets | sqlite-vec | Disk-based storage for larger vector storage\\nDatasets that can fit in memory, frequent reads | Faiss | Optimized for speed, indexing, and GPU acceleration\\n\\n#### Empirical Example\\n\\nConsider the histogram below in which 10,000 randomly generated strings were inserted\\nin batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.\\n\\n```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nYou will notice that the average write time for `sqlite-vec` was 788ms, compared to\\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\\nuniformly spread across the [1500, 100000] interval.\\n\\nLooking at each individual write in the order that the documents are inserted you\'ll see the increase in\\nwrite speed as Faiss reindexes the vectors after each write.\\n```{image} ../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss write times\\n:width: 400px\\n```\\n\\nIn comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\\nThe modes of the two distributions highlight the differences much further where Faiss\\nwill likely yield faster read performance.\\n\\n```{image} ../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png\\n:alt: Comparison of SQLite-Vec and Faiss read times\\n:width: 400px\\n```\\n\\n## Usage\\n\\nTo use sqlite-vec in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use SQLite-Vec.\\n3. Start storing and querying vectors.\\n\\nThe SQLite-vec provider supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Performs pure vector similarity search using the embeddings.\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Performs full-text search using SQLite\'s FTS5.\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.\\n\\nExample with hybrid search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"hybrid\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n\\n# Using RRF ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"rrf\\", \\"impact_factor\\": 60.0},\\n },\\n)\\n\\n# Using weighted ranker\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\n \\"mode\\": \\"hybrid\\",\\n \\"max_chunks\\": 3,\\n \\"score_threshold\\": 0.7,\\n \\"ranker\\": {\\"type\\": \\"weighted\\", \\"alpha\\": 0.7}, # 70% vector, 30% keyword\\n },\\n)\\n```\\n\\nExample with explicit vector search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"vector\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\nExample with keyword search:\\n```python\\nresponse = await vector_io.query_chunks(\\n vector_db_id=\\"my_db\\",\\n query=\\"your query here\\",\\n params={\\"mode\\": \\"keyword\\", \\"max_chunks\\": 3, \\"score_threshold\\": 0.7},\\n)\\n```\\n\\n## Supported Search Modes\\n\\nThe SQLite vector store supports three search modes:\\n\\n1. **Vector Search** (`mode=\\"vector\\"`): Uses vector similarity to find relevant chunks\\n2. **Keyword Search** (`mode=\\"keyword\\"`): Uses keyword matching to find relevant chunks\\n3. **Hybrid Search** (`mode=\\"hybrid\\"`): Combines both vector and keyword scores using a ranker\\n\\n### Hybrid Search\\n\\nHybrid search combines the strengths of both vector and keyword search by:\\n- Computing vector similarity scores\\n- Computing keyword match scores\\n- Using a ranker to combine these scores\\n\\nTwo ranker types are supported:\\n\\n1. **RRF (Reciprocal Rank Fusion)**:\\n - Combines ranks from both vector and keyword results\\n - Uses an impact factor (default: 60.0) to control the weight of higher-ranked results\\n - Good for balancing between vector and keyword results\\n - The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) [^1], which found this value to provide optimal performance across various retrieval tasks\\n\\n2. **Weighted**:\\n - Linearly combines normalized vector and keyword scores\\n - Uses an alpha parameter (0-1) to control the blend:\\n - alpha=0: Only use keyword scores\\n - alpha=1: Only use vector scores\\n - alpha=0.5: Equal weight to both (default)\\n\\nExample using RAGQueryConfig with different search modes:\\n\\n```python\\nfrom llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\\n\\n# Vector search\\nconfig = RAGQueryConfig(mode=\\"vector\\", max_chunks=5)\\n\\n# Keyword search\\nconfig = RAGQueryConfig(mode=\\"keyword\\", max_chunks=5)\\n\\n# Hybrid search with custom RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\\n)\\n\\n# Hybrid search with weighted ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\",\\n max_chunks=5,\\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\\n)\\n\\n# Hybrid search with default RRF ranker\\nconfig = RAGQueryConfig(\\n mode=\\"hybrid\\", max_chunks=5\\n) # Will use RRF with impact_factor=60.0\\n```\\n\\nNote: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.\\n\\n## Installation\\n\\nYou can install SQLite-Vec using pip:\\n\\n```bash\\npip install sqlite-vec\\n```\\n\\n## Documentation\\n\\nSee [sqlite-vec\'s GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) for more details about sqlite-vec in general.\\n\\n[^1]: Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). [Reciprocal rank fusion outperforms condorcet and individual rank learning methods](https://dl.acm.org/doi/10.1145/1571941.1572114). In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759).\\n","sidebar":"tutorialSidebar"},"providers/vector_io/remote_chromadb":{"id":"providers/vector_io/remote_chromadb","title":"remote::chromadb","description":"[Chroma](https://www.trychroma.com/) is an inline and remote vector\\ndatabase provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\nChroma supports:\\n- Store embeddings and their metadata\\n- Vector search\\n- Full-text search\\n- Document storage\\n- Metadata filtering\\n- Multi-modal retrieval\\n\\n## Usage\\n\\nTo use Chrome in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use chroma.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nYou can install chroma using pip:\\n\\n```bash\\npip install chromadb\\n```\\n\\n## Documentation\\nSee [Chroma\'s documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.\\n","sidebar":"tutorialSidebar"},"providers/vector_io/remote_milvus":{"id":"providers/vector_io/remote_milvus","title":"remote::milvus","description":"[Milvus](https://milvus.io/) is an inline and remote vector database provider for Llama Stack. It\\nallows you to store and query vectors directly within a Milvus database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n- Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)\\n\\n## Usage\\n\\nTo use Milvus in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use Milvus.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nIf you want to use inline Milvus, you can install:\\n\\n```bash\\npip install pymilvus[milvus-lite]\\n```\\n\\nIf you want to use remote Milvus, you can install:\\n\\n```bash\\npip install pymilvus\\n```\\n\\n## Configuration\\n\\nIn Llama Stack, Milvus can be configured in two ways:\\n- **Inline (Local) Configuration** - Uses Milvus-Lite for local storage\\n- **Remote Configuration** - Connects to a remote Milvus server\\n\\n### Inline (Local) Configuration\\n\\nThe simplest method is local configuration, which requires setting `db_path`, a path for locally storing Milvus-Lite files:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: inline::milvus\\n config:\\n db_path: ~/.llama/distributions/together/milvus_store.db\\n```\\n\\n### Remote Configuration\\n\\nRemote configuration is suitable for larger data storage requirements:\\n\\n#### Standard Remote Connection\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"http://:\\"\\n token: \\":\\"\\n```\\n\\n#### TLS-Enabled Remote Connection (One-way TLS)\\n\\nFor connections to Milvus instances with one-way TLS enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n server_pem_path: \\"/path/to/server.pem\\"\\n```\\n\\n#### Mutual TLS (mTLS) Remote Connection\\n\\nFor connections to Milvus instances with mutual TLS (mTLS) enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n ca_pem_path: \\"/path/to/ca.pem\\"\\n client_pem_path: \\"/path/to/client.pem\\"\\n client_key_path: \\"/path/to/client.key\\"\\n```\\n\\n#### Key Parameters for TLS Configuration\\n\\n- **`secure`**: Enables TLS encryption when set to `true`. Defaults to `false`.\\n- **`server_pem_path`**: Path to the **server certificate** for verifying the server\'s identity (used in one-way TLS).\\n- **`ca_pem_path`**: Path to the **Certificate Authority (CA) certificate** for validating the server certificate (required in mTLS).\\n- **`client_pem_path`**: Path to the **client certificate** file (required for mTLS).\\n- **`client_key_path`**: Path to the **client private key** file (required for mTLS).\\n\\n## Search Modes\\n\\nMilvus supports three different search modes for both inline and remote configurations:\\n\\n### Vector Search\\nVector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.\\n\\n```python\\n# Vector search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"What is machine learning?\\",\\n search_mode=\\"vector\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Keyword Search\\nKeyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.\\n\\n```python\\n# Keyword search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"Python programming language\\",\\n search_mode=\\"keyword\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Hybrid Search\\nHybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.\\n\\n#### Basic Hybrid Search\\n```python\\n# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n)\\n```\\n\\n**Note**: The default `impact_factor` value of 60.0 was empirically determined to be optimal in the original RRF research paper: [\\"Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods\\"](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) (Cormack et al., 2009).\\n\\n#### Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker\\nRRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.\\n\\n```python\\n# Hybrid search with custom RRF parameters\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"rrf\\",\\n \\"impact_factor\\": 100.0, # Higher values give more weight to top-ranked results\\n }\\n },\\n)\\n```\\n\\n#### Hybrid Search with Weighted Ranker\\nWeighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.\\n\\n```python\\n# Hybrid search with weighted ranker\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"weighted\\",\\n \\"alpha\\": 0.7, # 70% vector search, 30% keyword search\\n }\\n },\\n)\\n```\\n\\nFor detailed documentation on RRF and Weighted rankers, please refer to the [Milvus Reranking Guide](https://milvus.io/docs/reranking.md).\\n\\n## Documentation\\nSee the [Milvus documentation](https://milvus.io/docs/install-overview.md) for more details about Milvus in general.\\n\\nFor more details on TLS configuration, refer to the [TLS setup guide](https://milvus.io/docs/tls.md).\\n","sidebar":"tutorialSidebar"},"providers/vector_io/remote_pgvector":{"id":"providers/vector_io/remote_pgvector","title":"remote::pgvector","description":"[PGVector](https://github.com/pgvector/pgvector) is a remote vector database provider for Llama Stack. It\\nallows you to store and query vectors directly in memory.\\nThat means you\'ll get fast and efficient vector retrieval.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n\\nThere are three implementations of search for PGVectoIndex available:\\n\\n1. Vector Search:\\n- How it works:\\n - Uses PostgreSQL\'s vector extension (pgvector) to perform similarity search\\n - Compares query embeddings against stored embeddings using Cosine distance or other distance metrics\\n - Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance\\n\\n-Characteristics:\\n - Semantic understanding - finds documents similar in meaning even if they don\'t share keywords\\n - Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)\\n - Best for: Finding conceptually related content, handling synonyms, cross-language search\\n\\n2. Keyword Search\\n- How it works:\\n - Uses PostgreSQL\'s full-text search capabilities with tsvector and ts_rank\\n - Converts text to searchable tokens using to_tsvector(\'english\', text). Default language is English.\\n - Eg. SQL query: SELECT document, ts_rank(tokenized_content, plainto_tsquery(\'english\', %s)) AS score\\n\\n- Characteristics:\\n - Lexical matching - finds exact keyword matches and variations\\n - Uses GIN (Generalized Inverted Index) for fast text search performance\\n - Scoring: Uses PostgreSQL\'s ts_rank function for relevance scoring\\n - Best for: Exact term matching, proper names, technical terms, Boolean-style queries\\n\\n3. Hybrid Search\\n- How it works:\\n - Combines both vector and keyword search results\\n - Runs both searches independently, then merges results using configurable reranking\\n\\n- Two reranking strategies available:\\n - Reciprocal Rank Fusion (RRF) - (default: 60.0)\\n - Weighted Average - (default: 0.5)\\n\\n- Characteristics:\\n - Best of both worlds: semantic understanding + exact matching\\n - Documents appearing in both searches get boosted scores\\n - Configurable balance between semantic and lexical matching\\n - Best for: General-purpose search where you want both precision and recall\\n\\n4. Database Schema\\nThe PGVector implementation stores data optimized for all three search types:\\nCREATE TABLE vector_store_xxx (\\n id TEXT PRIMARY KEY,\\n document JSONB, -- Original document\\n embedding vector(dimension), -- For vector search\\n content_text TEXT, -- Raw text content\\n tokenized_content TSVECTOR -- For keyword search\\n);\\n\\n-- Indexes for performance\\nCREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search\\n-- Vector index created automatically by pgvector\\n\\n## Usage\\n\\nTo use PGVector in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).\\n3. Start storing and querying vectors.\\n\\n## This is an example how you can set up your environment for using PGVector\\n\\n1. Export env vars:\\n```bash\\nexport ENABLE_PGVECTOR=true\\nexport PGVECTOR_HOST=localhost\\nexport PGVECTOR_PORT=5432\\nexport PGVECTOR_DB=llamastack\\nexport PGVECTOR_USER=llamastack\\nexport PGVECTOR_PASSWORD=llamastack\\n```\\n\\n2. 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Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},title:"OpenAIMessageParam"},description:"List of messages in the conversation."},frequency_penalty:{type:"number",description:"(Optional) The penalty for repeated tokens."},function_call:{oneOf:[{type:"string"},{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}],description:"(Optional) The function call to use."},functions:{type:"array",items:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}},description:"(Optional) List of functions to use."},logit_bias:{type:"object",additionalProperties:{type:"number"},description:"(Optional) The logit bias to use."},logprobs:{type:"boolean",description:"(Optional) The log probabilities to use."},max_completion_tokens:{type:"integer",description:"(Optional) The maximum number of tokens to generate."},max_tokens:{type:"integer",description:"(Optional) The maximum number of tokens to generate."},n:{type:"integer",description:"(Optional) The number of completions to generate."},parallel_tool_calls:{type:"boolean",description:"(Optional) Whether to parallelize tool calls."},presence_penalty:{type:"number",description:"(Optional) The penalty for repeated tokens."},response_format:{description:"(Optional) The response format to use.",oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to indicate plain text response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatText",description:"Text response format for OpenAI-compatible chat completion requests."},{type:"object",properties:{type:{type:"string",const:"json_schema",default:"json_schema",description:'Must be "json_schema" to indicate structured JSON response format'},json_schema:{description:"The JSON schema specification for the response",type:"object",properties:{name:{type:"string",description:"Name of the schema"},description:{type:"string",description:"(Optional) Description of the schema"},strict:{type:"boolean",description:"(Optional) Whether to enforce strict adherence to the schema"},schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The JSON schema definition"}},additionalProperties:!1,required:["name"],title:"OpenAIJSONSchema"}},additionalProperties:!1,required:["type","json_schema"],title:"OpenAIResponseFormatJSONSchema",description:"JSON schema response format for OpenAI-compatible chat completion requests."},{type:"object",properties:{type:{type:"string",const:"json_object",default:"json_object",description:'Must be "json_object" to indicate generic JSON object response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatJSONObject",description:"JSON object response format for OpenAI-compatible chat completion requests."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to indicate plain text response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatText",description:"Text response format for OpenAI-compatible chat completion requests."},json_schema:{type:"object",properties:{type:{type:"string",const:"json_schema",default:"json_schema",description:'Must be "json_schema" to indicate structured JSON response format'},json_schema:{description:"The JSON schema specification for the response",type:"object",properties:{name:{type:"string",description:"Name of the schema"},description:{type:"string",description:"(Optional) Description of the schema"},strict:{type:"boolean",description:"(Optional) Whether to enforce strict adherence to the schema"},schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The JSON schema definition"}},additionalProperties:!1,required:["name"],title:"OpenAIJSONSchema"}},additionalProperties:!1,required:["type","json_schema"],title:"OpenAIResponseFormatJSONSchema",description:"JSON schema response format for OpenAI-compatible chat completion requests."},json_object:{type:"object",properties:{type:{type:"string",const:"json_object",default:"json_object",description:'Must be "json_object" to indicate generic JSON object response format'}},additionalProperties:!1,required:["type"],title:"OpenAIResponseFormatJSONObject",description:"JSON object response format for OpenAI-compatible chat completion requests."}}},title:"OpenAIResponseFormatParam"},seed:{type:"integer",description:"(Optional) The seed to use."},stop:{oneOf:[{type:"string"},{type:"array",items:{type:"string"}}],description:"(Optional) The stop tokens to use."},stream:{type:"boolean",description:"(Optional) Whether to stream the response."},stream_options:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) The stream options to use."},temperature:{type:"number",description:"(Optional) The temperature to use."},tool_choice:{oneOf:[{type:"string"},{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}],description:"(Optional) The tool choice to use."},tools:{type:"array",items:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}},description:"(Optional) The tools to use."},top_logprobs:{type:"integer",description:"(Optional) The top log probabilities to use."},top_p:{type:"number",description:"(Optional) The top p to use."},user:{type:"string",description:"(Optional) The user to use."}},additionalProperties:!1,required:["model","messages"],title:"OpenAIChatCompletionRequestWithExtraBody",description:"Request parameters for OpenAI-compatible chat completion endpoint."}}},required:!0}}),"\n",(0,n.jsx)(y(),{id:void 0,label:void 0,responses:{200:{description:"An OpenAIChatCompletion.",content:{"application/json":{schema:{oneOf:[{type:"object",properties:{id:{type:"string",description:"The ID of the chat completion"},choices:{type:"array",items:{type:"object",properties:{message:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". 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n=[65534,65535,131070,131071,196606,196607,262142,262143,327678,327679,393214,393215,458750,458751,524286,524287,589822,589823,655358,655359,720894,720895,786430,786431,851966,851967,917502,917503,983038,983039,1048574,1048575,1114110,1114111];t.REPLACEMENT_CHARACTER="\ufffd",t.CODE_POINTS={EOF:-1,NULL:0,TABULATION:9,CARRIAGE_RETURN:13,LINE_FEED:10,FORM_FEED:12,SPACE:32,EXCLAMATION_MARK:33,QUOTATION_MARK:34,NUMBER_SIGN:35,AMPERSAND:38,APOSTROPHE:39,HYPHEN_MINUS:45,SOLIDUS:47,DIGIT_0:48,DIGIT_9:57,SEMICOLON:59,LESS_THAN_SIGN:60,EQUALS_SIGN:61,GREATER_THAN_SIGN:62,QUESTION_MARK:63,LATIN_CAPITAL_A:65,LATIN_CAPITAL_F:70,LATIN_CAPITAL_X:88,LATIN_CAPITAL_Z:90,RIGHT_SQUARE_BRACKET:93,GRAVE_ACCENT:96,LATIN_SMALL_A:97,LATIN_SMALL_F:102,LATIN_SMALL_X:120,LATIN_SMALL_Z:122,REPLACEMENT_CHARACTER:65533},t.CODE_POINT_SEQUENCES={DASH_DASH_STRING:[45,45],DOCTYPE_STRING:[68,79,67,84,89,80,69],CDATA_START_STRING:[91,67,68,65,84,65,91],SCRIPT_STRING:[115,99,114,105,112,116],PUBLIC_STRING:[80,85,66,76,73,67],SYSTEM_STRING:[83,89,83,84,69,77]},t.isSurrogate=function(e){return e>=55296&&e<=57343},t.isSurrogatePair=function(e){return e>=56320&&e<=57343},t.getSurrogatePairCodePoint=function(e,t){return 1024*(e-55296)+9216+t},t.isControlCodePoint=function(e){return 32!==e&&10!==e&&13!==e&&9!==e&&12!==e&&e>=1&&e<=31||e>=127&&e<=159},t.isUndefinedCodePoint=function(e){return e>=64976&&e<=65007||n.indexOf(e)>-1}},43360:(e,t,n)=>{var r=n(93243);e.exports=function(e,t,n){"__proto__"==t&&r?r(e,t,{configurable:!0,enumerable:!0,value:n,writable:!0}):e[t]=n}},45083:(e,t,n)=>{var r=n(1882),o=n(87296),i=n(23805),s=n(47473),a=/^\[object .+?Constructor\]$/,l=Function.prototype,u=Object.prototype,c=l.toString,f=u.hasOwnProperty,p=RegExp("^"+c.call(f).replace(/[\\^$.*+?()[\]{}|]/g,"\\$&").replace(/hasOwnProperty|(function).*?(?=\\\()| for .+?(?=\\\])/g,"$1.*?")+"$");e.exports=function(e){return!(!i(e)||o(e))&&(r(e)?p:a).test(s(e))}},46776:(e,t,n)=>{"use strict";const r=n(36451);e.exports=class extends 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r=n(12303),o=n(43319),i=n(59944),s=n(77233),a=o.CODE_POINTS,l=o.CODE_POINT_SEQUENCES,u={128:8364,130:8218,131:402,132:8222,133:8230,134:8224,135:8225,136:710,137:8240,138:352,139:8249,140:338,142:381,145:8216,146:8217,147:8220,148:8221,149:8226,150:8211,151:8212,152:732,153:8482,154:353,155:8250,156:339,158:382,159:376},c="DATA_STATE",f="RCDATA_STATE",p="RAWTEXT_STATE",h="SCRIPT_DATA_STATE",d="PLAINTEXT_STATE",m="TAG_OPEN_STATE",T="END_TAG_OPEN_STATE",g="TAG_NAME_STATE",E="RCDATA_LESS_THAN_SIGN_STATE",_="RCDATA_END_TAG_OPEN_STATE",A="RCDATA_END_TAG_NAME_STATE",y="RAWTEXT_LESS_THAN_SIGN_STATE",C="RAWTEXT_END_TAG_OPEN_STATE",k="RAWTEXT_END_TAG_NAME_STATE",v="SCRIPT_DATA_LESS_THAN_SIGN_STATE",O="SCRIPT_DATA_END_TAG_OPEN_STATE",S="SCRIPT_DATA_END_TAG_NAME_STATE",N="SCRIPT_DATA_ESCAPE_START_STATE",b="SCRIPT_DATA_ESCAPE_START_DASH_STATE",x="SCRIPT_DATA_ESCAPED_STATE",R="SCRIPT_DATA_ESCAPED_DASH_STATE",I="SCRIPT_DATA_ESCAPED_DASH_DASH_STATE",L="SCRIPT_DATA_ESCAPED_LESS_THAN_SIGN_STATE",P="SCRIPT_DATA_ESCAPED_END_TAG_OPEN_STATE",M="SCRIPT_DATA_ESCAPED_END_TAG_NAME_STATE",w="SCRIPT_DATA_DOUBLE_ESCAPE_START_STATE",D="SCRIPT_DATA_DOUBLE_ESCAPED_STATE",F="SCRIPT_DATA_DOUBLE_ESCAPED_DASH_STATE",H="SCRIPT_DATA_DOUBLE_ESCAPED_DASH_DASH_STATE",B="SCRIPT_DATA_DOUBLE_ESCAPED_LESS_THAN_SIGN_STATE",U="SCRIPT_DATA_DOUBLE_ESCAPE_END_STATE",j="BEFORE_ATTRIBUTE_NAME_STATE",G="ATTRIBUTE_NAME_STATE",K="AFTER_ATTRIBUTE_NAME_STATE",z="BEFORE_ATTRIBUTE_VALUE_STATE",Y="ATTRIBUTE_VALUE_DOUBLE_QUOTED_STATE",W="ATTRIBUTE_VALUE_SINGLE_QUOTED_STATE",q="ATTRIBUTE_VALUE_UNQUOTED_STATE",V="AFTER_ATTRIBUTE_VALUE_QUOTED_STATE",Q="SELF_CLOSING_START_TAG_STATE",X="BOGUS_COMMENT_STATE",$="MARKUP_DECLARATION_OPEN_STATE",J="COMMENT_START_STATE",Z="COMMENT_START_DASH_STATE",ee="COMMENT_STATE",te="COMMENT_LESS_THAN_SIGN_STATE",ne="COMMENT_LESS_THAN_SIGN_BANG_STATE",re="COMMENT_LESS_THAN_SIGN_BANG_DASH_STATE",oe="COMMENT_LESS_THAN_SIGN_BANG_DASH_DASH_STATE",ie="COMMENT_END_DASH_STATE",se="COMMENT_END_STATE",ae="COMMENT_END_BANG_STATE",le="DOCTYPE_STATE",ue="BEFORE_DOCTYPE_NAME_STATE",ce="DOCTYPE_NAME_STATE",fe="AFTER_DOCTYPE_NAME_STATE",pe="AFTER_DOCTYPE_PUBLIC_KEYWORD_STATE",he="BEFORE_DOCTYPE_PUBLIC_IDENTIFIER_STATE",de="DOCTYPE_PUBLIC_IDENTIFIER_DOUBLE_QUOTED_STATE",me="DOCTYPE_PUBLIC_IDENTIFIER_SINGLE_QUOTED_STATE",Te="AFTER_DOCTYPE_PUBLIC_IDENTIFIER_STATE",ge="BETWEEN_DOCTYPE_PUBLIC_AND_SYSTEM_IDENTIFIERS_STATE",Ee="AFTER_DOCTYPE_SYSTEM_KEYWORD_STATE",_e="BEFORE_DOCTYPE_SYSTEM_IDENTIFIER_STATE",Ae="DOCTYPE_SYSTEM_IDENTIFIER_DOUBLE_QUOTED_STATE",ye="DOCTYPE_SYSTEM_IDENTIFIER_SINGLE_QUOTED_STATE",Ce="AFTER_DOCTYPE_SYSTEM_IDENTIFIER_STATE",ke="BOGUS_DOCTYPE_STATE",ve="CDATA_SECTION_STATE",Oe="CDATA_SECTION_BRACKET_STATE",Se="CDATA_SECTION_END_STATE",Ne="CHARACTER_REFERENCE_STATE",be="NAMED_CHARACTER_REFERENCE_STATE",xe="AMBIGUOS_AMPERSAND_STATE",Re="NUMERIC_CHARACTER_REFERENCE_STATE",Ie="HEXADEMICAL_CHARACTER_REFERENCE_START_STATE",Le="DECIMAL_CHARACTER_REFERENCE_START_STATE",Pe="HEXADEMICAL_CHARACTER_REFERENCE_STATE",Me="DECIMAL_CHARACTER_REFERENCE_STATE",we="NUMERIC_CHARACTER_REFERENCE_END_STATE";function De(e){return e===a.SPACE||e===a.LINE_FEED||e===a.TABULATION||e===a.FORM_FEED}function Fe(e){return e>=a.DIGIT_0&&e<=a.DIGIT_9}function He(e){return e>=a.LATIN_CAPITAL_A&&e<=a.LATIN_CAPITAL_Z}function Be(e){return e>=a.LATIN_SMALL_A&&e<=a.LATIN_SMALL_Z}function Ue(e){return Be(e)||He(e)}function je(e){return Ue(e)||Fe(e)}function Ge(e){return e>=a.LATIN_CAPITAL_A&&e<=a.LATIN_CAPITAL_F}function Ke(e){return e>=a.LATIN_SMALL_A&&e<=a.LATIN_SMALL_F}function ze(e){return e+32}function Ye(e){return e<=65535?String.fromCharCode(e):(e-=65536,String.fromCharCode(e>>>10&1023|55296)+String.fromCharCode(56320|1023&e))}function We(e){return String.fromCharCode(ze(e))}function qe(e,t){const n=i[++e];let r=++e,o=r+n-1;for(;r<=o;){const e=r+o>>>1,s=i[e];if(st))return i[e+n];o=e-1}}return-1}class Ve{constructor(){this.preprocessor=new r,this.tokenQueue=[],this.allowCDATA=!1,this.state=c,this.returnState="",this.charRefCode=-1,this.tempBuff=[],this.lastStartTagName="",this.consumedAfterSnapshot=-1,this.active=!1,this.currentCharacterToken=null,this.currentToken=null,this.currentAttr=null}_err(){}_errOnNextCodePoint(e){this._consume(),this._err(e),this._unconsume()}getNextToken(){for(;!this.tokenQueue.length&&this.active;){this.consumedAfterSnapshot=0;const e=this._consume();this._ensureHibernation()||this[this.state](e)}return this.tokenQueue.shift()}write(e,t){this.active=!0,this.preprocessor.write(e,t)}insertHtmlAtCurrentPos(e){this.active=!0,this.preprocessor.insertHtmlAtCurrentPos(e)}_ensureHibernation(){if(this.preprocessor.endOfChunkHit){for(;this.consumedAfterSnapshot>0;this.consumedAfterSnapshot--)this.preprocessor.retreat();return this.active=!1,this.tokenQueue.push({type:Ve.HIBERNATION_TOKEN}),!0}return!1}_consume(){return this.consumedAfterSnapshot++,this.preprocessor.advance()}_unconsume(){this.consumedAfterSnapshot--,this.preprocessor.retreat()}_reconsumeInState(e){this.state=e,this._unconsume()}_consumeSequenceIfMatch(e,t,n){let r=0,o=!0;const i=e.length;let s,l=0,u=t;for(;l0&&(u=this._consume(),r++),u===a.EOF){o=!1;break}if(s=e[l],u!==s&&(n||u!==ze(s))){o=!1;break}}if(!o)for(;r--;)this._unconsume();return o}_isTempBufferEqualToScriptString(){if(this.tempBuff.length!==l.SCRIPT_STRING.length)return!1;for(let 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t=this._matchNamedCharacterReference(e);if(this._ensureHibernation())this.tempBuff=[a.AMPERSAND];else if(t){const e=this.tempBuff[this.tempBuff.length-1]===a.SEMICOLON;this._isCharacterReferenceAttributeQuirk(e)||(e||this._errOnNextCodePoint(s.missingSemicolonAfterCharacterReference),this.tempBuff=t),this._flushCodePointsConsumedAsCharacterReference(),this.state=this.returnState}else this._flushCodePointsConsumedAsCharacterReference(),this.state=xe}[xe](e){je(e)?this._isCharacterReferenceInAttribute()?this.currentAttr.value+=Ye(e):this._emitCodePoint(e):(e===a.SEMICOLON&&this._err(s.unknownNamedCharacterReference),this._reconsumeInState(this.returnState))}[Re](e){this.charRefCode=0,e===a.LATIN_SMALL_X||e===a.LATIN_CAPITAL_X?(this.tempBuff.push(e),this.state=Ie):this._reconsumeInState(Le)}[Ie](e){!function(e){return 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if(this.charRefCode>1114111)this._err(s.characterReferenceOutsideUnicodeRange),this.charRefCode=a.REPLACEMENT_CHARACTER;else if(o.isSurrogate(this.charRefCode))this._err(s.surrogateCharacterReference),this.charRefCode=a.REPLACEMENT_CHARACTER;else if(o.isUndefinedCodePoint(this.charRefCode))this._err(s.noncharacterCharacterReference);else if(o.isControlCodePoint(this.charRefCode)||this.charRefCode===a.CARRIAGE_RETURN){this._err(s.controlCharacterReference);const e=u[this.charRefCode];e&&(this.charRefCode=e)}this.tempBuff=[this.charRefCode],this._flushCodePointsConsumedAsCharacterReference(),this._reconsumeInState(this.returnState)}}Ve.CHARACTER_TOKEN="CHARACTER_TOKEN",Ve.NULL_CHARACTER_TOKEN="NULL_CHARACTER_TOKEN",Ve.WHITESPACE_CHARACTER_TOKEN="WHITESPACE_CHARACTER_TOKEN",Ve.START_TAG_TOKEN="START_TAG_TOKEN",Ve.END_TAG_TOKEN="END_TAG_TOKEN",Ve.COMMENT_TOKEN="COMMENT_TOKEN",Ve.DOCTYPE_TOKEN="DOCTYPE_TOKEN",Ve.EOF_TOKEN="EOF_TOKEN",Ve.HIBERNATION_TOKEN="HIBERNATION_TOKEN",Ve.MODE={DATA:c,RCDATA:f,RAWTEXT:p,SCRIPT_DATA:h,PLAINTEXT:d},Ve.getTokenAttr=function(e,t){for(let n=e.attrs.length-1;n>=0;n--)if(e.attrs[n].name===t)return e.attrs[n].value;return null},e.exports=Ve},47473:e=>{var t=Function.prototype.toString;e.exports=function(e){if(null!=e){try{return t.call(e)}catch(n){}try{return e+""}catch(n){}}return""}},47530:function(e,t,n){"use strict";var r=this&&this.__importDefault||function(e){return 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Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics."},stop:{type:"array",items:{type:"string"},description:"Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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Execute the test for the Provider type you are developing."]}),"\n"]}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"troubleshooting",children:"Troubleshooting"}),"\n",(0,a.jsx)(n.p,{children:"If your external provider isn't being loaded:"}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsxs)(n.li,{children:["Check that ",(0,a.jsx)(n.code,{children:"module"})," points to a published pip package with a top level ",(0,a.jsx)(n.code,{children:"provider"})," module including ",(0,a.jsx)(n.code,{children:"get_provider_spec"}),"."]}),"\n",(0,a.jsx)(n.li,{children:"Verify that the YAML files are properly formatted."}),"\n",(0,a.jsx)(n.li,{children:"Ensure all required Python packages are installed."}),"\n",(0,a.jsxs)(n.li,{children:["Check the Llama Stack server logs for any error messages - turn on debug logging to get more\ninformation using ",(0,a.jsx)(n.code,{children:"LLAMA_STACK_LOGGING=all=debug"}),"."]}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"examples",children:"Examples"}),"\n",(0,a.jsx)(n.h3,{id:"how-to-create-an-external-provider-module",children:"How to create an external provider module"}),"\n",(0,a.jsxs)(n.p,{children:["If you are creating a new external provider called ",(0,a.jsx)(n.code,{children:"llama-stack-provider-ollama"})," here is how you would set up the package properly:"]}),"\n",(0,a.jsxs)(n.ol,{children:["\n",(0,a.jsx)(n.li,{children:"First, create the provider package:"}),"\n"]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-bash",children:"mkdir -p llama-stack-provider-ollama\ncd llama-stack-provider-ollama\ngit init\nuv init\n"})}),"\n",(0,a.jsxs)(n.ol,{start:"2",children:["\n",(0,a.jsxs)(n.li,{children:["Edit ",(0,a.jsx)(n.code,{children:"pyproject.toml"}),":"]}),"\n"]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-toml",children:'[project]\nname = "llama-stack-provider-ollama"\nversion = "0.1.0"\ndescription = "Ollama provider for Llama Stack"\nrequires-python = ">=3.12"\ndependencies = ["llama-stack", "pydantic", "ollama", "aiohttp"]\n'})}),"\n",(0,a.jsxs)(n.ol,{start:"3",children:["\n",(0,a.jsx)(n.li,{children:"Install the provider:"}),"\n"]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-bash",children:"uv pip install -e .\n"})}),"\n",(0,a.jsxs)(n.ol,{start:"4",children:["\n",(0,a.jsxs)(n.li,{children:["Edit ",(0,a.jsx)(n.code,{children:"provider.py"})]}),"\n"]}),"\n",(0,a.jsxs)(n.p,{children:["provider.py must be updated to contain ",(0,a.jsx)(n.code,{children:"get_provider_spec"}),". This is used by llama stack to install the provider."]}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'def get_provider_spec() -> ProviderSpec:\n return RemoteProviderSpec(\n api=Api.inference,\n adapter_type="llama-stack-provider-ollama",\n pip_packages=["ollama", "aiohttp"],\n config_class="llama_stack_provider_ollama.config.OllamaImplConfig",\n module="llama_stack_provider_ollama",\n )\n'})}),"\n",(0,a.jsxs)(n.ol,{start:"5",children:["\n",(0,a.jsxs)(n.li,{children:["Implement the provider as outlined above with ",(0,a.jsx)(n.code,{children:"get_provider_impl"})," or ",(0,a.jsx)(n.code,{children:"get_adapter_impl"}),", etc."]}),"\n"]}),"\n",(0,a.jsxs)(n.h3,{id:"example-using-module-ramalama-stack",children:["Example using ",(0,a.jsx)(n.code,{children:"module"}),": ramalama-stack"]}),"\n",(0,a.jsxs)(n.p,{children:[(0,a.jsx)(n.a,{href:"https://github.com/containers/ramalama-stack",children:"ramalama-stack"})," is a recognized external provider that supports installation via module."]}),"\n",(0,a.jsx)(n.p,{children:"To install Llama Stack with this external provider a user can provider the following build.yaml:"}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-yaml",children:"version: 2\ndistribution_spec:\n description: Use (an external) Ramalama server for running LLM inference\n container_image: null\n providers:\n inference:\n - provider_type: remote::ramalama\n module: ramalama_stack==0.3.0a0\nimage_type: venv\nimage_name: null\nadditional_pip_packages:\n- aiosqlite\n- sqlalchemy[asyncio]\n"})}),"\n",(0,a.jsxs)(n.p,{children:["No other steps are required beyond installing dependencies with ",(0,a.jsx)(n.code,{children:"llama stack list-deps | xargs -L1 uv pip install"})," and then running ",(0,a.jsx)(n.code,{children:"llama stack run"}),". The CLI will use ",(0,a.jsx)(n.code,{children:"module"})," to install the provider dependencies, retrieve the spec, etc."]}),"\n",(0,a.jsxs)(n.p,{children:["The provider will now be available in Llama Stack with the type ",(0,a.jsx)(n.code,{children:"remote::ramalama"}),"."]})]})}function p(e={}){const{wrapper:n}={...(0,l.R)(),...e.components};return n?(0,a.jsx)(n,{...e,children:(0,a.jsx)(c,{...e})}):c(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/47ddf653.3aba68d8.js b/docs/v0.3.0/assets/js/47ddf653.3aba68d8.js new file mode 100644 index 00000000..2b84d31c --- /dev/null +++ b/docs/v0.3.0/assets/js/47ddf653.3aba68d8.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[5644],{51377:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>v,contentTitle:()=>m,default:()=>x,frontMatter:()=>y,metadata:()=>i,toc:()=>b});const 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completion"},choices:{type:"array",items:{type:"object",properties:{message:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},description:"The message from the model"},finish_reason:{type:"string",description:"The reason the model stopped generating"},index:{type:"integer",description:"The index of the choice"},logprobs:{description:"(Optional) The log probabilities for the tokens in the message",type:"object",properties:{content:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"},refusal:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"}},additionalProperties:!1,title:"OpenAIChoiceLogprobs"}},additionalProperties:!1,required:["message","finish_reason","index"],title:"OpenAIChoice",description:"A choice from an OpenAI-compatible chat completion response."},description:"List of choices"},object:{type:"string",const:"chat.completion",default:"chat.completion",description:'The object type, which will be "chat.completion"'},created:{type:"integer",description:"The Unix timestamp in seconds when the chat completion was created"},model:{type:"string",description:"The model that was used to generate the chat completion"},usage:{description:"Token usage information for the completion",type:"object",properties:{prompt_tokens:{type:"integer",description:"Number of tokens in the prompt"},completion_tokens:{type:"integer",description:"Number of tokens in the completion"},total_tokens:{type:"integer",description:"Total tokens used (prompt + completion)"},prompt_tokens_details:{type:"object",properties:{cached_tokens:{type:"integer",description:"Number of tokens retrieved from cache"}},additionalProperties:!1,title:"OpenAIChatCompletionUsagePromptTokensDetails",description:"Token details for prompt tokens in OpenAI chat completion usage."},completion_tokens_details:{type:"object",properties:{reasoning_tokens:{type:"integer",description:"Number of tokens used for reasoning (o1/o3 models)"}},additionalProperties:!1,title:"OpenAIChatCompletionUsageCompletionTokensDetails",description:"Token details for output tokens in OpenAI chat completion usage."}},additionalProperties:!1,required:["prompt_tokens","completion_tokens","total_tokens"],title:"OpenAIChatCompletionUsage"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. 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2yssaEYnt3iGoohaAaaQTGcFNTg3wXfwLdx8A1gg7UGmoFm06AZrLWx+nenGTiJr8ivGVTL5jjKyxVr3+4dvfq6ObHS9W3H53ic65fU08S4cQdC7N12s63aoqnzBJ7W+xa5N3pCeqeo771bZNgdZ/MYfCdwycEld7hLrv2+6KBq9PnTfPaQlTm36Q85HcLjZuDYBOyei72mR/j9MhcPYsBouhEPQmZ6y8xzX7omV/Pnarsk/w23G2WkLFsOmh98EpfmxU/zGe0NCTtp9nbliIvOSU+mkNk3svVGkdlt0hCyyfX5TgdDc0BWJHmdmvPolUiyuyyJ+gUZScYVx1Kxqu/v6Wu03UaLXGyEltvj6NrtMFFFxkOE3wm9/aGp79MBPH6L6enkP93B52goAM6A8+Fw7r0hJnTvIWFaJLqUy3S1zNLBoBtDTR3iZdhfmxUSLW6Mu98l70z5z9adbCMAFUqYHuGeDM8M/mc+nbSZIbqvW8A5DYEAAgHkzrNTBiB3gmagGeTOSUENzmnwDXwbB98ANlhroBloNg2awVobp3P6lO7NthI5oBZGebkySua1FzJ3qOhW72RB79wppR/A99YxyAjyQfzd3zkhx786OR6BRhFoFPYW7K1zs7dgaGH1CJqBZtOgGVaP0PrBN/BtqnwD2GCtgWag2TRoBmttnFo/Ao0i0GjU7Iirh0Cj+jwDjXb9QnDdwXWHyKNnT0hEHkXkUSy6sejGohsSIiRE0Aw0e600g4QIhy/4Br5NlW8AG6w10Aw0mwbNYK2N1eF7pqHmEHn0/COPtvw9cNDBQYc4pIhDeorJAXFITx2HtD/WwWvwGqFJ4b2GggAFAXromUkH0ENBM9AMeuikoAbvNfgGvo2DbwAbrDXQDDSbBs1grY3Tez2R0KRPPQeGO3opWCo0z/IgeLrDTqlJ6rjyiwdRaF/YuOCd6nBvjIt7QZm9rWXhXdlUYJ/Fj3yblzztld99bpwqsbZN7haTF2WqItRD4+w+5N6zqDTPaOOmQEa096XzArv/u5LlvRTK+Lypg/gvmz+iL5u/+SPPCM/LrKhq0yHCyI5/G43v9sdDsropCFsJop0UVUldzgzlQ70nzxxBo1qlU+NUz0wJpY72MrU6jc/Scz2D/n1DBT6kW5gMmuqZaI+Ivt7pFK0nx/aLE/reju4985n75wuTb4U2iFI3Fekd3M8e4Tx0vb4vQi75v1sNFD6IS9LExaXHO0LichfZwR+XPzIYrv3ZnD2us2TNEl44p7Ww8yc5pEu9Ni9IMw7nExYAWABAzjg7yx9yBmgGmkHOmBTU4HwC38C3cfANYIO1BpqBZtOgGay1cTqfXO8d2kceHbu5JWnwzpywyBTJgykzodkKCg3LVlt2mfMNZzeaJ59o5FVcKXZ98Z3fh76IU6CQsSsamZvywSRkWubi44eAmlrXUmBfOvAMPMPYPD8uw9gEzUAzGJuTghqkQfANfBsH3wA2WGugGWg2DZrBWhunNPiC23jiAaKEvApXavV3l9t4PiE6hdl6aDZrJkSJeIPlIftn922TdLc1tG9IeWabJD3euU2yE5Rt/re5cQP3VGBWw6w2+lkN0xlsdNAMNJsGzWCjQ1EF38C3qfINYIO1BpqBZtOgGay16Siq4faGPTc27NdYpaikUMKNWDtc69xQZug+h35Acn+xuz/XbrGTFZnOOIXzMIqlOdrvwj6f5OQ7InC/vgjccWaimTx8SqHcy1Q0t3vsUcODCn55ebV/KtznROBKZUrzog3H9qfD7oTwnR0+BRNAgQr2B9V2LBwTgKH7e4j+MLxgeGEZeW4WF5aRoBlohmXkpKAG0R98A9/GwTeADdYaaAaaTYNmsNbGKfqT/lpWSym4KouhgnsFVhTpsrxbGgF97v/aBFm/rLV5XH4ShQls3c7/tUmfPa63jQrI6M2VSNm9KITkNGoXzEZ1UIxL8Za9Yb/c6LKyP15EOfjlLbsNydxlRabWrXRsIO9CZ7KRWRfDybki7E1xVWv/p0gZZxWXOuPNDmv25g2rVU0hJ+beY2GuvjXp2pi1fOs3T7ut1BRulto0K2rRD9lLkYHDdyPNtFuSVt23CiJ5wejSWer99JSt6vReaKO7R5dRP+MHeX647txS/hTf5z20Muj1r5XkD2KpBJfJmm7rLfM7yTdLnldrCsNbrUtd3ovCsCAVSxPgo5JCi9Zlvn+qs1xnBbmehm66Ja8Rl/f1hiJhD+T65TeXN6l3PGHv3D3Kw06r6Mpx9p4n62inPWnvzKfAbEMceS955/xDe8xH+XwXwsd7f91Jw/93nCItMjnfyXCYfwrS7L6w+/pceOrgqet66noZaB+tiR4BiOMA4m18yshcNuzu42jmrHBlwW/QTKc8CjXK9u4WkBa/AXVUJLNue+TKbLf4ZC9EwKEurLGxxh79GhuLayiGoBloNg2aQTGEfxd8A9+myjeADdYaaAaaTYNmsNbG6t/dCM07PTs0znCxBgy9os5beuKqLHPBi/ijot6shBwSHbsWZX/uGzjOFcX3vwi5ZL4wjK/IrxlUy+Y4yssV6z1H2Xptd906xzN0WG2nyB2k7LZo6jyBp/W+Re6NnpDeKep77xbZceu2yWPwncAlB5fc4S659vsa0MefP81nD1mZc5v+kNMhPG4Gjk3A7rnYa3qE3y9z8SAGjKYb8SBkprfMPPela3I1f662S/LfcLtRRsqy5aD5wSdxaV78NDeXHYedNHu7csRF56QnU8jsG9l6o8jsNmkI2eT6fKeDoTnA3txMRpCqRJLdZUnUL8hIMq44lopVfX9PX6PtNlrkYiO03B5H126HiSoyHiL8TujtD019nw7g8VtMTyf/6Q4+R0MBcAacD4dz7w0xoXsPCdMi0aVcpqtllg7sHxhuahVwan5tVki0uDHufpe88JczGcAv7LX1SpgesfNOqHDe+LMO6aTNDNF9He5wgkAAgQBy5/kpA5A7QTPQDHLnpKAG5zT4Br6Ng28AG6w10Aw0mwbNYK2N0zl9SvdmW4kcUAujvFwZJfPaC5k7VHSrd7Kgd+6U0g/ge+sYZAT5IP7u75yQ41+dHI9Aowg0CnsL9ta52VswtLB6BM1As2nQDKtHaP3gG/g2Vb4BbLDWQDPQbBo0g7U2Tq0fgUYRaDRqdsTVQ6BRfZ6BRrt+Ibju4LpD5NGzJyQijyLyKBbdWHRj0Q0JERIiaAaavVaaQUKEwxd8A9+myjeADdYaaAaaTYNmsNbG6vA901BziDx6/pFHW/4eOOjgoEMcUsQhPcXkgDikp45D2h/r4DV4jdCk8F5DQYCCAD30zKQD6KGgGWgGPXRSUIP3GnwD38bBN4AN1hpoBppNg2aw1sbpvZ5IaFJTF+1ffy9TIUXKcncitJJlIpQy7gstKuWPPaUsraU94pwpkx71g7LWVa1jN1EfOz70YnOKuXVSh2cFJevbjJwhwYeBmJQQeTHRYqLFsmHUMyyWDaAZaIZlw6SgBpEXfAPfxsE3gA3WGmgGmk2DZrDWxinyIiYlYlJGzY6Ia4hJqeOYlMHdwbXmybpbccf2l8ZTANUflhcsL6wjz8vkwjoSNAPNsI6cFNSg+oNv4Ns4+AawwVoDzUCzadAM1trvpPrvnUdGNcr65aa3SuHvoTEXUWghKeSMq4zFwHUKA9uNG9XSxlnJNmJnzI9+Ylcfrt63OlIruaPE4iC9NlmIKuEipNuviyJ6K9VEP3pM+wdRVKJvs1woYsFGpBl36YjUt59JprOX++VxXbKNUJpvKva4FkUIOsNW4t5EJTpFaJeoiLte5104c5bdNYFfvvhQA50OKN0fWRFt/1fuoIOa9Q4GtCozHvXWhdbt8nT8IHe5t8cYjI+DJ40viBfsgtosS9jNVhHMjiuQeBCFDiHpKBtxH6SUKW8+pB7923kExEe+zUue9rLtPrcXs1DOk+BCYOZtypQl9Ncm6N7iAGM3yu8znklzzsRUtT904tvb/13J8l4KpVypw5fNH9GXzd/8kWdEuaVpZ6qhMA0NPG7NSjuet4aHo4kpGlsJwqkUVSm1ve3FtMr+CfPQ6E/PXKFDrUG9itqHuQ5uCND09Rck33JkRql3Bs8znqRDZYV952HI9dpqpvDB8CkYerzjAAx3ftzGOXbU0Rf7szl7XGfJmiVmhFPYNGGneXIGl3otHK5xMgbrFKxToLqc3QIFqgtoBppBdZkU1OAjA9/At3HwDWCDtQaagWbToBmstbGejNkZyTz2P5A0eGdi/GeK5MHUyvYFHQRhqy27zPmGsxvNk0808iquFLu++M5HQl/EKdABkRWNzE35YBIyLXPx8UNATa1rKRAZHXgGnmFsnh+XYWyCZqAZjM1JQQ3SIPgGvo2DbwAbrDXQDDSbBs1grY1TGnxB7I14gCghr8Je4W7W3W7B5n5Es/XQbNZMiBLxBstD9tLu2yZJAUfancR/MLxNkh7v3CbZuRZ8vjtQzBEbVkNEFPOeEHcnM1fL7t2M2Yq/Tt2hdek3FFXMapjVYKOf3XQGGx00A81go08KalBUwTfwbRx8A9hgrYFmoNk0aAZrbTqKaoi/PKCtUrxkH8dgv8YqRSWFEkUIHS6FqnNDGadlZsVDmXit9eedYZz9uXaLnazIdGbChbfuj7ThIk5w8v3gKAAEpw/f+M4X4ob4qzqP/D39bHGaWCGUm2wjQrLMJbk4UaCQ/gtCok0N7BrsPr5EVrg4ND7Ut70dlN4wn6k17dw1cdRp1jaXki7DpaRxl6R7TG/tsBsOCRHy2L/ENJrFo8xEM3n4lILcUOj3ZVDfn1fDgwp+eXm1fyrE3aMwvGB4wfDCMhLLSNAMNHutNMMyEqI/+Aa+TZVvABusNdAMNJsGzWCtjVP0x92juHv0OT/I88MVd49O/e7RL4zV7rxasXen5xRpkcn5TshB04cfBWn29xDs8M4cYC/DU/fqPHW9DLSP1kSPAMRxAPE2PmWk7K0j1EaimbPC9QW/QTOd8ijUKNu7W0Ba/AbUUZHMuu2RK7Pd4pO9EAGHurDGxhp79GtsLK6hGIJmoNk0aAbFEP5d8A18myrfADZYa6AZaDYNmsFaG6t/dyM07/Ts0DjDxRow9Io6b+mJq7LMhblLOPrKZiXkkOjYtSj7c9/Aca4ovv9FyCXzhWF8RX7NoFo2x1FerljvOcrWa7vr1jmeocNqO0XuIGW3RVPnCTyt9y1yb/SE9E5R33u3yLA7zuYx+E7gkoNL7nCXXPt9Dejjz5/ms4eszLlNf8jpEB43A8cmYPdc7DU9wu+XuXgQA0bTjXgQMtNbZp770jW5mj9X2yX5b7jdKCNl2XLQ/OCTuDQvfpqby47DTpq9XTnionPSkylk9o1svVFkdps0hGxyfb7TwdAcYG9uJiNIVSLJ7rIk6hdkJBlXHEvFqr6/p6/RdhstcrERWm6Po2u3w0QVGQ8Rfif09oemvk8H8PgtpqeT/3QHn6OhADgDzofDufeGmNC9h4RpkehSLtPVMksH9g8MN7UKODW/NiskWtwYd79LXvjLmQzgF/baeiVMj9h5J1Q4b/xZh3TSZobovg53OEEggEAAufP8lAHInaAZaAa5c1JQg3MafAPfxsE3gA3WGmgGmk2DZrDWxumcPqV7s61EDqiFUV6ujJJ57YXMHSq61TtZ0Dt3SukH8L11DDKCfBB/93dOyPGvTo5HoFEEGoW9BXvr3OwtGFpYPYJmoNk0aIbVI7R+8A18myrfADZYa6AZaDYNmsFaG6fWj0CjCDQaNTvi6iHQqD7PQKNdvxBcd3DdIfLo2RMSkUcReRSLbiy6seiGhAgJETQDzV4rzSAhwuELvoFvU+UbwAZrDTQDzaZBM1hrY3X4nmmoOUQePf/Ioy1/Dxx0cNAhDinikJ5ickAc0lPHIe2PdfAavEZoUnivoSBAQYAeembSAfRQ0Aw0gx46KajBew2+gW/j4BvABmsNNAPNpkEzWGvj9F5PJDSpqYv2r7+XqZAiZbk7EVrJMhFKGfeFFpXyx55SltbSHnHOlEmP+kFZ66rWsZuojx0ferE5xdw6qcOzgpL1bUbOkODDQExKiLyYaDHRYtkw6hkWywbQDDTDsmFSUIPIC76Bb+PgG8AGaw00A82mQTNYa+MUeRGTEjEpo2ZHxDXEpNRxTMrg7uBa82Tdrbhj+0vjKYDqD8sLlhfWkedlcmEdCZqBZlhHTgpqUP3BN/BtHHwD2GCtgWag2TRoBmvtd1L9984joxpl/XLTW6Xw99CYiyi0kBRyxlXGYuA6hYHtxo1qaeOsZBuxM+ZHP7GrD1fvWx2pldxRYnGQXpssRJVwEdLt10URvZVqoh89pv2DKCrRt1kuFLFgI9KMu3RE6tvPJNPZy/3yuC7ZRijNNxV7XIsiBJ1hK3FvohKdIrRLVMRdr/MunDnL7prAL198qIFOB5Tuj6yItv8rd9BBzXoHA1qVGY9660Lrdnk6fpC73NtjDMbHwZPGF8QLdkFtliXsZqsIZscVSDyIQoeQdJSNuA9SypQ3H1KP/n3xyDMa8h+ozB/5Ni952su7+9zezkLZ5+5XzFQVM69VplCh4zbR9xYH2WmtrEfWmjlkYup5/zQTpfGMozNK0Z1h8d3H/13J8l4KpVwlhi+bP6Ivm799XSxNXVCFh/Br8Yui6Gvtj1tjy6HIFIStBFWxFFUptb0q5m8R0mg4R+bwjc2QPztzVJSp3Vf9mJSp91P3CWdwzjR02p64mnGZXzCy44NXvgWeG+h0wuqGOtwhA7wJ1bV/XHfHy1mO0CitziBtPcE4HRqnqcjtID2VSPjSpYDJ0EvWALRaLhIpyBzjectAP9ma4BtTa3tWA6YkbkhKwTe2k0WD7/dXMLqV/Yx0cfyyutsS7XX1aquFOuHid0eTFJ1172/eKGHXTnsQtD79wpHg03DDISS5Z7MGdgiddIdQD93vM70W0q4H3vgpJ9of1Cg+RrDLyKKouFRmnee+RLVtPqOZUNeDsSCb2dUsWsxCJ57i7niWm49VnSRCpCLtTzPvailpGNC77GlqelvrikObnS8BZdTHW2UZqMadAA21duiA/SIJeRyq1yua6sYj2mPK6zdOayrB9IfpD9PfuUx//dgpHyL++FSSNS/uhfLRUsxSMLrd+6RChl9T7hM0PrqmO1jTCH3rUFkj6AhnKWtEX+/IGq0nkDWGZA2TcCo0z/LjtkAhav+ri9ofZyayK8OnpGbTYZ1wI1B/r0brpvcQMP/y8mr/bgpEi8LeHezdwd4d7ETETkTQDDR7rTQbiSY7Kajh3Aj4Br6Ng28AG6w10Aw0mwbNYK0hWhSiRSFa1Ct3hnfHxeijRZ3yypCOU6RFJuc7Gb4ahHYK+JNjO6/chqcOnrqup66Xgc4Oo2hLA4A4CiDexttqlD0natz/zZwVNm78Bs10+DaCBtDGPRrMgEzRV0bb3t0C0uK3tZ3JrNseOe2WeSg/2V0Xzzp4W9cg0SAM7mxKD/5drLGxxoZieHaLayiGoBloBsVwUlCDfxd8A9/GwTeADdYaaAaaTYNmsNbG6t+dZmAlviK/ZlAtm+MoL1esfbt39Orr5sRK17cdn+Nxrl9STxPjxh0I6HfbzbZqi6bOE3ha71vk3ugJ6Z2ivvdukWF3nM1j8J3AJQeX3OEuufb7ooOq0edP89lDVubcpj/kdAiPm4FjE7B7LvaaHuH3y1w8iAGj6UY8CJnpLTPPfemaXM2fq+2S/DfcbpSRsmw5aH7wSVyaFz/NZ7Q3JOyk2duVIy46Jz2ZQmbfyNYbRWa3SUPIJtfnOx0MzQFZkeR1as6nVyLJ7rIk6hdkJBlXHEvFqr6/p6/RdhstcrERWm6Po2u3w0QVGQ8Rfif09oemvk8H8PgtpqeT/3QHn6OhADgDzofDufeGmNC9h4RpkehSLtPVMksHg3AMNXWIn2F/bVZItLgx7n6XvDPlP1t3so0IVChheoR7Mjwz+J/5dNJmhui+bgHnNAQCCASQO89OGYDcCZqBZpA7JwU1OKfBN/BtHHwD2GCtgWag2TRoBmttnM7pU7o320rkgFoY5eXKKJnXXsjcoaJbvZMFvXOnlH4A31vHICPIB/F3f+eEHP/q5HgEGkWgUdhbsLfOzd6CoYXVI2gGmk2DZlg9QusH38C3qfINYIO1BpqBZtOgGay1cWr9CDSKQKNRsyOuHgKN6vMMNNr1C8F1B9cdIo+ePSEReRSRR7HoxqIbi25IiJAQQTPQ7LXSDBIiHL7gG/g2Vb4BbLDWQDPQbBo0g7U2VofvmYaaQ+TR84882vL3wEEHBx3ikCIO6SkmB8QhPXUc0v5YB6/Ba4QmhfcaCgIUBOihZyYdQA8FzUAz6KGTghq81+Ab+DYOvgFssNZAM9BsGjSDtTZO7/VEQpM+9RwY7uilYKnQPMuD4OkOO6UmqePKLx5EoX1h44J3qsO9MS7uBWX2tpaFd2VTgX0WP/JtXvK0V373uXGqxNo2uVtMXpSpilAPjbPbHuWi5jJ6+/5xFxXtGaHclM6m6Irq1Xb/dyXLeymUcYA3r3d/RF82f/NHnhGrl1lR1aZ3hGEe/zYa7O2PhzR2UxC2EoQ+KaqS+l+ojBeeR6MqpiPkVOlMCaWOdjm1epDP0nPdhP59QwU+pI+YDJrqObh7hCY5yx4Sfb3TSVpPju0nJ3TMHd2b5jP3zxcm34p7EKVuKtJ7v58933noYn5f+FxyjrcaKHwQl6QJmkuPd8TL5S7sgz9Lf2SkXPuzOXtcZ8maJbxwHm1hJ1fyVpd6bV6QZhyeKawOsDqA1nF2ywJoHaAZaAatY1JQg2cKfAPfxsE3gA3WGmgGmk2DZrDWxumZcr13aJN5dCbnlqTBO3P8IlMkD6bMxG0rKG4sW23ZZc43nN1onnyikVdxpdj1xXd+k/oiToHiya5oZG7KB5OQaZmLjx8CampdS4FN68Az8Axj8/y4DGMTNAPNYGxOCmqQBsE38G0cfAPYYK2BZqDZNGgGa22c0uALruqJB4gS8irct9Xfem6D/YTQFWbrodmsmRAl4g2WiwNmvn3bJN1VDu3rU57ZJkmPd26T7ERsm/9truPAJRaY1TCrjX5Ww3QGGx00A82mQTPY6FBUwTfwbap8A9hgrYFmoNk0aAZrbTqKarjaYc91Dvs1VikqKZRwI9YO1zo3lBm67KEfrdzf+u7PtVvsZEWmM06xPoxiaY72u5jQJzn5jvDcry88d5yZaCYPn1Kc9zIVzdUfe9TwoIJfXl7tnwr3ORG4UpnSvGjDsf3psDshfGeHT8EEUKCC/UG1HQvHBGDo/h6iPwwvGF5YRp6bxYVlJGgGmmEZOSmoQfQH38C3cfANYIO1BpqBZtOgGay1cYr+pL+W1VIKrspiqOBegRVFuizvlkZAn/u/NkHWL2ttHpefRGGiXrfzf23SZ4/rbaMCMnpzJVJ2LwohOY3aBbNRHRTjUrxlb9gvN7qs7I8XUQ5+ectuQzJ3WZGpdSsdG+W70JlsZNbFcHKuCHtTXNXa/ylSxlnFpc54s8OavXnDalVTyIm591iYe3FNujZmLd/6zdNuKzWFm6U2zYpa9EP2UmTg8N1IM+2WpFX3rYJIXjC6kZZ6Pz1lqzq9F9rGfm5uqn7GD/L8cN25pfwpvux7aGXQ618ryR/EUgkukzVd5Vvmd5Jvljyv1hSGt1qXurwXhWFBKpYmwEclhRatm37/VGe5zgpyPQ1dg0teIy7v6w1Fxh7I9cuvNW9S73jC3rlLloedVtF95Ow9T9bRTnvS3plPgdmGOPLS8s75h/aYj/L5LsSW9/66k94N0HGKtMjkfCfDdwBQkGb3hd1368JTB09d11PXy0D7aE30CEAcBxBv41NG5iZid1lHM2eFKwx+g2Y65VGoUbZ3t4C0+A2ooyKZddsjV2a7xSd7IQIOdWGNjTX26NfYWFxDMQTNQLNp0AyKIfy74Bv4NlW+AWyw1kAz0GwaNIO1Nlb/7kZo3unZoXGGizVg6BV13tITV2WZC17EHxX1ZiXkkOjYtSj7c9/Aca4ovv9FyCXzhWF8RX7NoFo2x1FerljvOcrWa7vr1jmeocNqO0XuIGW3RVPnCTyt9y1yb/SE9E5R33u3yI4ruU0eg+8ELjm45A53ybXf14A+/vxpPnvIypzb9IecDuFxM3BsAnbPxV7TI/x+mYsHMWA03YgHITO9Zea5L12Tq/lztV2S/4bbjTJSli0HzQ8+iUvz4qe5uew47KTZ25UjLjonPZlCZt/I1htFZrdJQ8gm1+c7HQzNAfbmZjKCVCWS7C5Lon5BRpJxxbFUrOr7e/oabbfRIhcboeX2OLp2O0xUkfEQ4XdCb39o6vt0AI/fYno6+U938DkaCoAz4Hw4nHtviAnde0iYFoku5TJdLbN0YP/AcFOrgFPza7NCosWNcfe75IW/nMkAfmGvrVfC9Iidd0KF88afdUgnbWaI7utwhxMEAggEkDvPTxmA3AmagWaQOycFNTinwTfwbRx8A9hgrYFmoNk0aAZrbZzO6VO6N9tK5IBaGOXlyiiZ117I3KGiW72TBb1zp5R+AN9bxyAjyAfxd3/nhBz/6uR4BBpFoFHYW7C3zs3egqGF1SNoBppNg2ZYPULrB9/At6nyDWCDtQaagWbToBmstXFq/Qg0ikCjUbMjrh4CjerzDDTa9QvBdQfXHSKPnj0hEXkUkUex6MaiG4tuSIiQEEEz0Oy10gwSIhy+4Bv4NlW+AWyw1kAz0GwaNIO1NlaH75mGmkPk0fOPPNry98BBBwcd4pAiDukpJgfEIT11HNL+WAevwWuEJoX3GgoCFATooWcmHUAPBc1AM+ihk4IavNfgG/g2Dr4BbLDWQDPQbBo0g7U2Tu/1REKTmrpo//p7mQopUpa7E6GVLBOhlHFfaFEpf+wpZWkt7RHnTJn0qB+Uta5qHbuJ+tjxoRebU8ytkzo8KyhZ32bkDAk+DMSkhMiLiRYTLZYNo55hsWwAzUAzLBsmBTWIvOAb+DYOvgFssNZAM9BsGjSDtTZOkRcxKRGTMmp2RFxDTEodx6QM7g6uNU/W3Yo7tr80ngKo/rC8YHlhHXleJhfWkaAZaIZ15KSgBtUffAPfxsE3gA3WGmgGmk2DZrDWfifVf+88MqpR1i83vVUKfw+NuYhCC0khZ1xlLAauUxjYbtyoljbOSrYRO2N+9BO7+nD1vtWRWskdJRYH6bXJQlQJFyHdfl0U0VupJvrRY9o/iKISfZvlQhELNiLNuEtHpL79TDKdvdwvj+uSbYTSfFOxx7UoQtAZthL3JirRKUK7REXc9Trvwpmz7K4J/PLFhxrodEDp/siKaPu/cgcd1Kx3MKBVmfGoty60bpen4we5y709xmB8HDxpfEG8YBfUZlnCbraKYHZcgcSDKHQISUfZiPsgpUx58yH16N/OIyA+8m1e8rSXbfe5vZiFcp4EFwIzb1OmLKG/NkH3rA+Kapg/8oywsjQVu3+2iErxjL/SnD4xDeCPovhe4P+uZHkvhVKuLsKXzR/Rl4cy+XM0OQ08bs1VO563Bo1jjCkaWwmCrBRVKbW9A8a01f5p9NCYUM9crENtRH2NWo25bm+40IyAFyTfcm9GqXeG1DP+pUPFhn2nZMgh22qm8MHw2Rh6vONYDHfe3cZldtSBGPuzOXtcZ8maJWbcUzA1YSd/chGXei0cxHFeBqsXrF6gxZzdsgVaDGgGmkGLmRTU4DkD38C3cfANYIO1BpqBZtOgGay1sZ6X2RnfPPZKkDR4ZyL/Z4rkwdSK+QUdD2GrLbvM+YazG82TTzTyKq4Uu774zsdHX8Qp0LGRFY3MTflgEjItc/HxQ0BNrWspEC8deAaeYWyeH5dhbIJmoBmMzUlBDdIg+Aa+jYNvABusNdAMNJsGzWCtjVMafEFEjniAKCGvwg7ibtbdbsHm1kSz9dBs1kyIEvEGy8UBM9++bZIUhqTdSfwHw9sk6fHObZKdy8Lnu8PHHLFhNcRJMe8J0Xgyc+Hs3s2Yrajs1B1aV4FDUcWshlkNNvrZTWew0UEz0Aw2+qSgBkUVfAPfxsE3gA3WGmgGmk2DZrDWpqOohqjMA9oqRVH20Q32a6xSVFIoUYSA4lKoOjeUcVpmVjyUiddaf94Z3Nmfa7fYyYpMZyaIeOtWSRtE4gQn3w+OAkBw+vCN73whmoi/wPPI39PPFqeJIEK5yTYiJMtckosThQ/pvyAk2tTArsHu40tkhYtO4wOA2ztD6Q3zmVrTzl0TXZ1mbXNV6TJcVRp3Sbrd9NYOu+GQECGP/atNo1k8ykw0k4dPKfQNBYRfBvX9eTU8qOCXl1f7p0LcSArDC4YXDC8sI7GMBM1As9dKMywjIfqDb+DbVPkGsMFaA81As2nQDNbaOEV/3EiKG0mf84M8P1xxI+nUbyT9wgjuzqsVe3d6TpEWmZzvhBw0ffhRkGZ/O8EO78wB9jI8da/OU9fLQPtoTfQIQBwHEG/jU0bK3kVCbSSaOStcavAbNNMpj0KNsr27BaTFb0AdFcms2x65MtstPtkLEXCoC2tsrLFHv8bG4hqKIWgGmk2DZlAM4d8F38C3qfINYIO1BpqBZtOgGay1sfp3N0LzTs8OjTNcrAFDr6jzlp64KstcmBuGo69sVkIOiY5di7I/9w0c54ri+1+EXDJfGMZX5NcMqmVzHOXlivWeo2y9trtuneMZOqy2U+QOUnZbNHWewNN63yL3Rk9I7xT1vXeLDLvjbB6D7wQuObjkDnfJtd/XgD7+/Gk+e8jKnNv0h5wO4XEzcGwCds/FXtMj/H6ZiwcxYDTdiAchM71l5rkvXZOr+XO1XZL/htuNMlKWLQfNDz6JS/Pip7m57DjspNnblSMuOic9mUJm38jWG0Vmt0lDyCbX5zsdDM0B9uZmMoJUJZLsLkuifkFGknHFsVSs6vt7+hptt9EiFxuh5fY4unY7TFSR8RDhd0Jvf2jq+3QAj99iejr5T3fwORoKgDPgfDice2+ICd17SJgWiS7lMl0ts3Rg/8BwU6uAU/Nrs0KixY1x97vkhb+cyQB+Ya+tV8L0iJ13QoXzxp91SCdtZoju63CHEwQCCASQO89PGYDcCZqBZpA7JwU1OKfBN/BtHHwD2GCtgWag2TRoBmttnM7pU7o320rkgFoY5eXKKJnXXsjcoaJbvZMFvXOnlH4A31vHICPIB/F3f+eEHP/q5HgEGkWgUdhbsLfOzd6CoYXVI2gGmk2DZlg9QusH38C3qfINYIO1BpqBZtOgGay1cWr9CDSKQKNRsyOuHgKN6vMMNNr1C8F1B9cdIo+ePSEReRSRR7HoxqIbi25IiJAQQTPQ7LXSDBIiHL7gG/g2Vb4BbLDWQDPQbBo0g7U2VofvmYaaQ+TR84882vL3wEEHBx3ikCIO6SkmB8QhPXUc0v5YB6/Ba4QmhfcaCgIUBOihZyYdQA8FzUAz6KGTghq81+Ab+DYOvgFssNZAM9BsGjSDtTZO7/VEQpOaumj/+nuZCilSlrsToZUsE6GUcV9oUSl/7CllaS3tEedMmfSoH5S1rmodu4n62PGhF5tTzK2TOjwrKFnfZuQMCT4MxKSEyIuJFhMtlg2jnmGxbADNQDMsGyYFNYi84Bv4Ng6+AWyw1kAz0GwaNIO1Nk6RFzEpEZMyanZEXENMSh3HpAzuDq41T9bdiju2vzSeAqj+sLxgeWEdeV4mF9aRoBlohnXkpKAG1R98A9/GwTeADdYaaAaaTYNmsNZ+J9V/7zwyqlHWLze9VQp/D425iEILSSFnXGUsBq5TGNhu3KiWNs5KthE7Y370E7v6cPW+1ZFayR0lFgfptclCVAkXId1+XRTRW6km+tFj2j+IohJ9m+VCEQs2Is24S0ekvv1MMp293C+P65JthNJ8U7HHtShC0Bm2EvcmKtEpQrtERdz1Ou/CmbPsrgn88sWHGuh0QOn+yIpo+79yBx3UrHcwoFWZ8ai3LrRul6fjB7nLvT3GYHwcPGl8QbxgF9RmWcJutopgdlyBxIModAhJR9mI+yClTHnzIfXo3xePPKMh/4HK/JFv85Knvby7z+3tLJR97n7FTFUx81plChU6bhN9bzEbOKHxnn7yJsSSqtwborMTJlEzjR5XBy6pZ0tu3v4FVftsojdaCr55t66LT70atM/Ir9hUUBKcMY3jz51m+aevvx4+bEE5EipcIcPzLDXDn+c0qkQ6ax3W4FWVZzZO4lf/4dy/KlmLzWBEsvb8oTTXdezxoc56L2SvaP/99vYjs982gcBmzfS1D8HvKWAbM18ml6pal1IzVW82XG49kU1QN/a4zpI1ecqo0DLjdBGONYHsc/Me08k0z/JD32y/Ta/Oy+JeSLauN7x4IwVP+SoXLPpNKzsuHJLmFDdq77viWJtm3rOFSTgxkxzHaSvw0qaUgq5oM5SkNzfB5cJwKZOklnbqbOfrmB7tWti3Vqi8qI+batpRebIVmJPycPHxw4Jdl/X9Ot+yuzLPy0fFrr99x/7lP3/9L2YiE5859fm4f/3T119H3l2esmvbxZv8HNjz3cj5x38dHjlJntHIW5NJbifakm14sfUJW3yx++xBFIxvytrZGFkraikGFQbVOQyqf/zX1uYEdkU93Y0sFQ+t/1XWdhEvPidC0ALTGP5cC7ueX7CPueBKMC23jN/zrGA510L6meqfd81USsgHIc2ytSYzh+a+gtWF+FyJhHbYCFcNGFoYWmc0tP45nq/M8pwWrTe2tzfvd8Prot/lfWWkC/Z9LZkWfGNmpZUQBStKcxFi2hxrdopIT917JmEMKgyq8xpUXw+97YAhZEYJdTV+r6g0Zk02sDv1nRQ0o3FWiEcnH9iOY5ZjJFlXXPINbTZUxtFptzXOzGMvCszeziqu14NCUhNA1y3wSpbYdzaCRSnpRU3la1mLeX8oNoJxyEZHnTgsI+5HJ8nKz/bLQuk/lem2s9HvJYAJIsszOw4PdT/vi5tAW3RbInP4IK7EJloCPd4RKIG7/b7NJsqjQiTYn80jB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",sidebar_class_name:"post 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages to start the turn with."},stream:{type:"boolean",description:"(Optional) If True, generate an SSE event stream of the response. Defaults to False."},documents:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the document."},mime_type:{type:"string",description:"The MIME type of the document."}},additionalProperties:!1,required:["content","mime_type"],title:"Document",description:"A document to be used by an agent."},description:"(Optional) List of documents to create the turn with."},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"},description:"(Optional) List of toolgroups to create the turn with, will be used in addition to the agent's config toolgroups for the request."},tool_config:{type:"object",properties:{tool_choice:{oneOf:[{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model."},{type:"string"}],default:"auto",description:"(Optional) Whether tool use is automatic, required, or none. Can also specify a tool name to use a specific tool. Defaults to ToolChoice.auto."},tool_prompt_format:{type:"string",enum:["json","function_tag","python_list"],description:"(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls."},system_message_behavior:{type:"string",enum:["append","replace"],description:"(Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: Replaces the default system prompt with the provided system message. The system message can include the string '{{function_definitions}}' to indicate where the function definitions should be inserted.",default:"append"}},additionalProperties:!1,title:"ToolConfig",description:"Configuration for tool use."}},additionalProperties:!1,required:["messages"],title:"CreateAgentTurnRequest"}}},required:!0}}),"\n",(0,r.jsx)(g(),{id:void 0,label:void 0,responses:{200:{description:"If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk.",content:{"application/json":{schema:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},"text/event-stream":{schema:{type:"object",properties:{event:{description:"Individual event in the agent turn response stream",type:"object",properties:{payload:{oneOf:[{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnAwaitingInputPayload",description:"Payload for turn awaiting input events in agent turn responses."}],discriminator:{propertyName:"event_type",mapping:{step_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},step_progress:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},step_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},turn_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},turn_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},turn_awaiting_input:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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It\\nallows you to store and query vectors directly within a Milvus database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n- Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)\\n\\n## Usage\\n\\nTo use Milvus in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use Milvus.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nIf you want to use inline Milvus, you can install:\\n\\n```bash\\npip install pymilvus[milvus-lite]\\n```\\n\\nIf you want to use remote Milvus, you can install:\\n\\n```bash\\npip install pymilvus\\n```\\n\\n## Configuration\\n\\nIn Llama Stack, Milvus can be configured in two ways:\\n- **Inline (Local) Configuration** - Uses Milvus-Lite for local storage\\n- **Remote Configuration** - Connects to a remote Milvus server\\n\\n### Inline (Local) Configuration\\n\\nThe simplest method is local configuration, which requires setting `db_path`, a path for locally storing Milvus-Lite files:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: inline::milvus\\n config:\\n db_path: ~/.llama/distributions/together/milvus_store.db\\n```\\n\\n### Remote Configuration\\n\\nRemote configuration is suitable for larger data storage requirements:\\n\\n#### Standard Remote Connection\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"http://:\\"\\n token: \\":\\"\\n```\\n\\n#### TLS-Enabled Remote Connection (One-way TLS)\\n\\nFor connections to Milvus instances with one-way TLS enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n server_pem_path: \\"/path/to/server.pem\\"\\n```\\n\\n#### Mutual TLS (mTLS) Remote Connection\\n\\nFor connections to Milvus instances with mutual TLS (mTLS) enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n ca_pem_path: \\"/path/to/ca.pem\\"\\n client_pem_path: \\"/path/to/client.pem\\"\\n client_key_path: \\"/path/to/client.key\\"\\n```\\n\\n#### Key Parameters for TLS Configuration\\n\\n- **`secure`**: Enables TLS encryption when set to `true`. Defaults to `false`.\\n- **`server_pem_path`**: Path to the **server certificate** for verifying the server\'s identity (used in one-way TLS).\\n- **`ca_pem_path`**: Path to the **Certificate Authority (CA) certificate** for validating the server certificate (required in mTLS).\\n- **`client_pem_path`**: Path to the **client certificate** file (required for mTLS).\\n- **`client_key_path`**: Path to the **client private key** file (required for mTLS).\\n\\n## Search Modes\\n\\nMilvus supports three different search modes for both inline and remote configurations:\\n\\n### Vector Search\\nVector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.\\n\\n```python\\n# Vector search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"What is machine learning?\\",\\n search_mode=\\"vector\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Keyword Search\\nKeyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.\\n\\n```python\\n# Keyword search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"Python programming language\\",\\n search_mode=\\"keyword\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Hybrid Search\\nHybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.\\n\\n#### Basic Hybrid Search\\n```python\\n# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n)\\n```\\n\\n**Note**: The default `impact_factor` value of 60.0 was empirically determined to be optimal in the original RRF research paper: [\\"Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods\\"](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) (Cormack et al., 2009).\\n\\n#### Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker\\nRRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.\\n\\n```python\\n# Hybrid search with custom RRF parameters\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"rrf\\",\\n \\"impact_factor\\": 100.0, # Higher values give more weight to top-ranked results\\n }\\n },\\n)\\n```\\n\\n#### Hybrid Search with Weighted Ranker\\nWeighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.\\n\\n```python\\n# Hybrid search with weighted ranker\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"weighted\\",\\n \\"alpha\\": 0.7, # 70% vector search, 30% keyword search\\n }\\n },\\n)\\n```\\n\\nFor detailed documentation on RRF and Weighted rankers, please refer to the [Milvus Reranking Guide](https://milvus.io/docs/reranking.md).\\n\\n## Documentation\\nSee the [Milvus documentation](https://milvus.io/docs/install-overview.md) for more details about Milvus in general.\\n\\nFor more details on TLS configuration, refer to the [TLS setup guide](https://milvus.io/docs/tls.md).\\n","source":"@site/docs/providers/vector_io/remote_milvus.mdx","sourceDirName":"providers/vector_io","slug":"/providers/vector_io/remote_milvus","permalink":"/v0.3.0/docs/providers/vector_io/remote_milvus","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"description":"[Milvus](https://milvus.io/) is an inline and remote vector database provider for Llama Stack. It\\nallows you to store and query vectors directly within a Milvus database.\\nThat means you\'re not limited to storing vectors in memory or in a separate service.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n- Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)\\n\\n## Usage\\n\\nTo use Milvus in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use Milvus.\\n3. Start storing and querying vectors.\\n\\n## Installation\\n\\nIf you want to use inline Milvus, you can install:\\n\\n```bash\\npip install pymilvus[milvus-lite]\\n```\\n\\nIf you want to use remote Milvus, you can install:\\n\\n```bash\\npip install pymilvus\\n```\\n\\n## Configuration\\n\\nIn Llama Stack, Milvus can be configured in two ways:\\n- **Inline (Local) Configuration** - Uses Milvus-Lite for local storage\\n- **Remote Configuration** - Connects to a remote Milvus server\\n\\n### Inline (Local) Configuration\\n\\nThe simplest method is local configuration, which requires setting `db_path`, a path for locally storing Milvus-Lite files:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: inline::milvus\\n config:\\n db_path: ~/.llama/distributions/together/milvus_store.db\\n```\\n\\n### Remote Configuration\\n\\nRemote configuration is suitable for larger data storage requirements:\\n\\n#### Standard Remote Connection\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"http://:\\"\\n token: \\":\\"\\n```\\n\\n#### TLS-Enabled Remote Connection (One-way TLS)\\n\\nFor connections to Milvus instances with one-way TLS enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n server_pem_path: \\"/path/to/server.pem\\"\\n```\\n\\n#### Mutual TLS (mTLS) Remote Connection\\n\\nFor connections to Milvus instances with mutual TLS (mTLS) enabled:\\n\\n```yaml\\nvector_io:\\n - provider_id: milvus\\n provider_type: remote::milvus\\n config:\\n uri: \\"https://:\\"\\n token: \\":\\"\\n secure: True\\n ca_pem_path: \\"/path/to/ca.pem\\"\\n client_pem_path: \\"/path/to/client.pem\\"\\n client_key_path: \\"/path/to/client.key\\"\\n```\\n\\n#### Key Parameters for TLS Configuration\\n\\n- **`secure`**: Enables TLS encryption when set to `true`. Defaults to `false`.\\n- **`server_pem_path`**: Path to the **server certificate** for verifying the server\'s identity (used in one-way TLS).\\n- **`ca_pem_path`**: Path to the **Certificate Authority (CA) certificate** for validating the server certificate (required in mTLS).\\n- **`client_pem_path`**: Path to the **client certificate** file (required for mTLS).\\n- **`client_key_path`**: Path to the **client private key** file (required for mTLS).\\n\\n## Search Modes\\n\\nMilvus supports three different search modes for both inline and remote configurations:\\n\\n### Vector Search\\nVector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.\\n\\n```python\\n# Vector search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"What is machine learning?\\",\\n search_mode=\\"vector\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Keyword Search\\nKeyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.\\n\\n```python\\n# Keyword search example\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"Python programming language\\",\\n search_mode=\\"keyword\\",\\n max_num_results=5,\\n)\\n```\\n\\n### Hybrid Search\\nHybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.\\n\\n#### Basic Hybrid Search\\n```python\\n# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n)\\n```\\n\\n**Note**: The default `impact_factor` value of 60.0 was empirically determined to be optimal in the original RRF research paper: [\\"Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods\\"](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) (Cormack et al., 2009).\\n\\n#### Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker\\nRRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.\\n\\n```python\\n# Hybrid search with custom RRF parameters\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"rrf\\",\\n \\"impact_factor\\": 100.0, # Higher values give more weight to top-ranked results\\n }\\n },\\n)\\n```\\n\\n#### Hybrid Search with Weighted Ranker\\nWeighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.\\n\\n```python\\n# Hybrid search with weighted ranker\\nsearch_response = client.vector_stores.search(\\n vector_store_id=vector_store.id,\\n query=\\"neural networks in Python\\",\\n search_mode=\\"hybrid\\",\\n max_num_results=5,\\n ranking_options={\\n \\"ranker\\": {\\n \\"type\\": \\"weighted\\",\\n \\"alpha\\": 0.7, # 70% vector search, 30% keyword search\\n }\\n },\\n)\\n```\\n\\nFor detailed documentation on RRF and Weighted rankers, please refer to the [Milvus Reranking Guide](https://milvus.io/docs/reranking.md).\\n\\n## Documentation\\nSee the [Milvus documentation](https://milvus.io/docs/install-overview.md) for more details about Milvus in general.\\n\\nFor more details on TLS configuration, refer to the [TLS setup guide](https://milvus.io/docs/tls.md).\\n","sidebar_label":"Remote - Milvus","title":"remote::milvus"},"sidebar":"tutorialSidebar","previous":{"title":"Remote - Chromadb","permalink":"/v0.3.0/docs/providers/vector_io/remote_chromadb"},"next":{"title":"Remote - Pgvector","permalink":"/v0.3.0/docs/providers/vector_io/remote_pgvector"}}');var i=r(74848),o=r(28453);const s={description:'[Milvus](https://milvus.io/) is an inline and remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly within a Milvus database.\nThat means you\'re not limited to storing vectors in memory or in a separate service.\n\n## Features\n\n- Easy to use\n- Fully integrated with Llama Stack\n- Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)\n\n## Usage\n\nTo use Milvus in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use Milvus.\n3. Start storing and querying vectors.\n\n## Installation\n\nIf you want to use inline Milvus, you can install:\n\n```bash\npip install pymilvus[milvus-lite]\n```\n\nIf you want to use remote Milvus, you can install:\n\n```bash\npip install pymilvus\n```\n\n## Configuration\n\nIn Llama Stack, Milvus can be configured in two ways:\n- **Inline (Local) Configuration** - Uses Milvus-Lite for local storage\n- **Remote Configuration** - Connects to a remote Milvus server\n\n### Inline (Local) Configuration\n\nThe simplest method is local configuration, which requires setting `db_path`, a path for locally storing Milvus-Lite files:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: inline::milvus\n config:\n db_path: ~/.llama/distributions/together/milvus_store.db\n```\n\n### Remote Configuration\n\nRemote configuration is suitable for larger data storage requirements:\n\n#### Standard Remote Connection\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "http://:"\n token: ":"\n```\n\n#### TLS-Enabled Remote Connection (One-way TLS)\n\nFor connections to Milvus instances with one-way TLS enabled:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "https://:"\n token: ":"\n secure: True\n server_pem_path: "/path/to/server.pem"\n```\n\n#### Mutual TLS (mTLS) Remote Connection\n\nFor connections to Milvus instances with mutual TLS (mTLS) enabled:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "https://:"\n token: ":"\n secure: True\n ca_pem_path: "/path/to/ca.pem"\n client_pem_path: "/path/to/client.pem"\n client_key_path: "/path/to/client.key"\n```\n\n#### Key Parameters for TLS Configuration\n\n- **`secure`**: Enables TLS encryption when set to `true`. Defaults to `false`.\n- **`server_pem_path`**: Path to the **server certificate** for verifying the server\'s identity (used in one-way TLS).\n- **`ca_pem_path`**: Path to the **Certificate Authority (CA) certificate** for validating the server certificate (required in mTLS).\n- **`client_pem_path`**: Path to the **client certificate** file (required for mTLS).\n- **`client_key_path`**: Path to the **client private key** file (required for mTLS).\n\n## Search Modes\n\nMilvus supports three different search modes for both inline and remote configurations:\n\n### Vector Search\nVector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.\n\n```python\n# Vector search example\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query="What is machine learning?",\n search_mode="vector",\n max_num_results=5,\n)\n```\n\n### Keyword Search\nKeyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.\n\n```python\n# Keyword search example\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query="Python programming language",\n search_mode="keyword",\n max_num_results=5,\n)\n```\n\n### Hybrid Search\nHybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.\n\n#### Basic Hybrid Search\n```python\n# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query="neural networks in Python",\n search_mode="hybrid",\n max_num_results=5,\n)\n```\n\n**Note**: The default `impact_factor` value of 60.0 was empirically determined to be optimal in the original RRF research paper: ["Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods"](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) (Cormack et al., 2009).\n\n#### Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker\nRRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.\n\n```python\n# Hybrid search with custom RRF parameters\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query="neural networks in Python",\n search_mode="hybrid",\n max_num_results=5,\n ranking_options={\n "ranker": {\n "type": "rrf",\n "impact_factor": 100.0, # Higher values give more weight to top-ranked results\n }\n },\n)\n```\n\n#### Hybrid Search with Weighted Ranker\nWeighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.\n\n```python\n# Hybrid search with weighted ranker\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query="neural networks in Python",\n search_mode="hybrid",\n max_num_results=5,\n ranking_options={\n "ranker": {\n "type": "weighted",\n "alpha": 0.7, # 70% vector search, 30% keyword search\n }\n },\n)\n```\n\nFor detailed documentation on RRF and Weighted rankers, please refer to the [Milvus Reranking Guide](https://milvus.io/docs/reranking.md).\n\n## Documentation\nSee the [Milvus documentation](https://milvus.io/docs/install-overview.md) for more details about Milvus in general.\n\nFor more details on TLS configuration, refer to the [TLS setup guide](https://milvus.io/docs/tls.md).\n',sidebar_label:"Remote - Milvus",title:"remote::milvus"},a="remote::milvus",c={},l=[{value:"Description",id:"description",level:2},{value:"Features",id:"features",level:2},{value:"Usage",id:"usage",level:2},{value:"Installation",id:"installation",level:2},{value:"Configuration",id:"configuration",level:2},{value:"Inline (Local) Configuration",id:"inline-local-configuration",level:3},{value:"Remote Configuration",id:"remote-configuration",level:3},{value:"Standard Remote Connection",id:"standard-remote-connection",level:4},{value:"TLS-Enabled Remote Connection (One-way TLS)",id:"tls-enabled-remote-connection-one-way-tls",level:4},{value:"Mutual TLS (mTLS) Remote Connection",id:"mutual-tls-mtls-remote-connection",level:4},{value:"Key Parameters for TLS Configuration",id:"key-parameters-for-tls-configuration",level:4},{value:"Search Modes",id:"search-modes",level:2},{value:"Vector Search",id:"vector-search",level:3},{value:"Keyword Search",id:"keyword-search",level:3},{value:"Hybrid Search",id:"hybrid-search",level:3},{value:"Basic Hybrid Search",id:"basic-hybrid-search",level:4},{value:"Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker",id:"hybrid-search-with-rrf-reciprocal-rank-fusion-ranker",level:4},{value:"Hybrid Search with Weighted Ranker",id:"hybrid-search-with-weighted-ranker",level:4},{value:"Documentation",id:"documentation",level:2},{value:"Configuration",id:"configuration-1",level:2},{value:"Sample Configuration",id:"sample-configuration",level:2}];function d(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",h4:"h4",header:"header",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,o.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.header,{children:(0,i.jsx)(n.h1,{id:"remotemilvus",children:"remote::milvus"})}),"\n",(0,i.jsx)(n.h2,{id:"description",children:"Description"}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.a,{href:"https://milvus.io/",children:"Milvus"})," is an inline and remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly within a Milvus database.\nThat means you're not limited to storing vectors in memory or in a separate service."]}),"\n",(0,i.jsx)(n.h2,{id:"features",children:"Features"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:"Easy to use"}),"\n",(0,i.jsx)(n.li,{children:"Fully integrated with Llama Stack"}),"\n",(0,i.jsx)(n.li,{children:"Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)"}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"usage",children:"Usage"}),"\n",(0,i.jsx)(n.p,{children:"To use Milvus in your Llama Stack project, follow these steps:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Install the necessary dependencies."}),"\n",(0,i.jsx)(n.li,{children:"Configure your Llama Stack project to use Milvus."}),"\n",(0,i.jsx)(n.li,{children:"Start storing and querying vectors."}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"installation",children:"Installation"}),"\n",(0,i.jsx)(n.p,{children:"If you want to use inline Milvus, you can install:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"pip install pymilvus[milvus-lite]\n"})}),"\n",(0,i.jsx)(n.p,{children:"If you want to use remote Milvus, you can install:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"pip install pymilvus\n"})}),"\n",(0,i.jsx)(n.h2,{id:"configuration",children:"Configuration"}),"\n",(0,i.jsx)(n.p,{children:"In Llama Stack, Milvus can be configured in two ways:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:"Inline (Local) Configuration"})," - Uses Milvus-Lite for local storage"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:"Remote Configuration"})," - Connects to a remote Milvus server"]}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"inline-local-configuration",children:"Inline (Local) Configuration"}),"\n",(0,i.jsxs)(n.p,{children:["The simplest method is local configuration, which requires setting ",(0,i.jsx)(n.code,{children:"db_path"}),", a path for locally storing Milvus-Lite files:"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-yaml",children:"vector_io:\n - provider_id: milvus\n provider_type: inline::milvus\n config:\n db_path: ~/.llama/distributions/together/milvus_store.db\n"})}),"\n",(0,i.jsx)(n.h3,{id:"remote-configuration",children:"Remote Configuration"}),"\n",(0,i.jsx)(n.p,{children:"Remote configuration is suitable for larger data storage requirements:"}),"\n",(0,i.jsx)(n.h4,{id:"standard-remote-connection",children:"Standard Remote Connection"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-yaml",children:'vector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "http://:"\n token: ":"\n'})}),"\n",(0,i.jsx)(n.h4,{id:"tls-enabled-remote-connection-one-way-tls",children:"TLS-Enabled Remote Connection (One-way TLS)"}),"\n",(0,i.jsx)(n.p,{children:"For connections to Milvus instances with one-way TLS enabled:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-yaml",children:'vector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "https://:"\n token: ":"\n secure: True\n server_pem_path: "/path/to/server.pem"\n'})}),"\n",(0,i.jsx)(n.h4,{id:"mutual-tls-mtls-remote-connection",children:"Mutual TLS (mTLS) Remote Connection"}),"\n",(0,i.jsx)(n.p,{children:"For connections to Milvus instances with mutual TLS (mTLS) enabled:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-yaml",children:'vector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: "https://:"\n token: ":"\n secure: True\n ca_pem_path: "/path/to/ca.pem"\n client_pem_path: "/path/to/client.pem"\n client_key_path: "/path/to/client.key"\n'})}),"\n",(0,i.jsx)(n.h4,{id:"key-parameters-for-tls-configuration",children:"Key Parameters for TLS Configuration"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.code,{children:"secure"})}),": Enables TLS encryption when set to ",(0,i.jsx)(n.code,{children:"true"}),". Defaults to ",(0,i.jsx)(n.code,{children:"false"}),"."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.code,{children:"server_pem_path"})}),": Path to the ",(0,i.jsx)(n.strong,{children:"server certificate"})," for verifying the server's identity (used in one-way TLS)."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.code,{children:"ca_pem_path"})}),": Path to the ",(0,i.jsx)(n.strong,{children:"Certificate Authority (CA) certificate"})," for validating the server certificate (required in mTLS)."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.code,{children:"client_pem_path"})}),": Path to the ",(0,i.jsx)(n.strong,{children:"client certificate"})," file (required for mTLS)."]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.strong,{children:(0,i.jsx)(n.code,{children:"client_key_path"})}),": Path to the ",(0,i.jsx)(n.strong,{children:"client private key"})," file (required for mTLS)."]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"search-modes",children:"Search Modes"}),"\n",(0,i.jsx)(n.p,{children:"Milvus supports three different search modes for both inline and remote configurations:"}),"\n",(0,i.jsx)(n.h3,{id:"vector-search",children:"Vector Search"}),"\n",(0,i.jsx)(n.p,{children:"Vector search uses semantic similarity to find the most relevant chunks based on embedding vectors. 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See the ",(0,r.jsx)(t.a,{href:"https://github.com/llamastack/llama-stack/releases",children:"release notes"})," for more details."]})}),"\n",(0,r.jsx)(t.h2,{id:"what-is-llama-stack",children:"What is Llama Stack?"}),"\n",(0,r.jsx)(t.p,{children:"Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments. More specifically, it provides:"}),"\n",(0,r.jsxs)(t.ul,{children:["\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Unified API layer"})," for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Plugin architecture"})," to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile."]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Prepackaged verified distributions"})," which offer a one-stop solution for developers to get started quickly and reliably in any environment"]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Multiple developer interfaces"})," like CLI and SDKs for Python, Node, iOS, and Android"]}),"\n",(0,r.jsxs)(t.li,{children:[(0,r.jsx)(t.strong,{children:"Standalone applications"})," as examples for how to build production-grade AI applications with Llama Stack"]}),"\n"]}),"\n",(0,r.jsx)("img",{src:"/img/llama-stack.png",alt:"Llama Stack",width:"400px"}),"\n",(0,r.jsx)(t.p,{children:'Our goal is to provide pre-packaged implementations (aka "distributions") which can be run in a variety of deployment environments. 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",(0,s.jsx)(n.a,{href:"/v0.3.0/docs/references/evals_reference/#open-benchmark-contributing-guide",children:"contributing guide"})," to add more open-benchmarks to Llama Stack"]}),"\n",(0,s.jsx)(n.h3,{id:"run-evaluation-on-open-benchmarks-via-cli",children:"Run evaluation on open-benchmarks via CLI"}),"\n",(0,s.jsx)(n.p,{children:"We have built-in functionality to run the supported open-benchmarks using llama-stack-client CLI"}),"\n",(0,s.jsx)(n.h4,{id:"spin-up-llama-stack-server",children:"Spin up Llama Stack server"}),"\n",(0,s.jsx)(n.p,{children:"Spin up llama stack server with 'open-benchmark' template"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{children:"llama stack run llama_stack/distributions/open-benchmark/run.yaml\n\n"})}),"\n",(0,s.jsx)(n.h4,{id:"run-eval-cli",children:"Run eval CLI"}),"\n",(0,s.jsx)(n.p,{children:"There are 3 necessary inputs to run a benchmark eval"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"list 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Practices"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Choose appropriate providers"}),": Use Meta Reference for comprehensive evaluation, NVIDIA for platform-specific needs"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Configure storage properly"}),": Ensure your key-value store configuration matches your performance requirements"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Monitor evaluation progress"}),": Large evaluations can take time - implement proper monitoring"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Use appropriate scoring functions"}),": Select scoring metrics that align with your evaluation goals"]}),"\n"]}),"\n",(0,s.jsx)(n.h2,{id:"whats-next",children:"What's Next?"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["Check out our Colab notebook on working examples with running benchmark evaluations 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e=this._key.words,n=[],a=0;a<56;a++){var t=o[a]-1;n[a]=e[t>>>5]>>>31-t%32&1}for(var r=this._subKeys=[],i=0;i<16;i++){var l=r[i]=[],u=c[i];for(a=0;a<24;a++)l[a/6|0]|=n[(s[a]-1+u)%28]<<31-a%6,l[4+(a/6|0)]|=n[28+(s[a+24]-1+u)%28]<<31-a%6;for(l[0]=l[0]<<1|l[0]>>>31,a=1;a<7;a++)l[a]=l[a]>>>4*(a-1)+3;l[7]=l[7]<<5|l[7]>>>27}var p=this._invSubKeys=[];for(a=0;a<16;a++)p[a]=r[15-a]},encryptBlock:function(e,n){this._doCryptBlock(e,n,this._subKeys)},decryptBlock:function(e,n){this._doCryptBlock(e,n,this._invSubKeys)},_doCryptBlock:function(e,n,a){this._lBlock=e[n],this._rBlock=e[n+1],d.call(this,4,252645135),d.call(this,16,65535),m.call(this,2,858993459),m.call(this,8,16711935),d.call(this,1,1431655765);for(var t=0;t<16;t++){for(var r=a[t],i=this._lBlock,o=this._rBlock,s=0,c=0;c<8;c++)s|=l[c][((o^r[c])&u[c])>>>0];this._lBlock=o,this._rBlock=i^s}var p=this._lBlock;this._lBlock=this._rBlock,this._rBlock=p,d.call(this,1,1431655765),m.call(this,8,16711935),m.call(this,2,858993459),d.call(this,16,65535),d.call(this,4,252645135),e[n]=this._lBlock,e[n+1]=this._rBlock},keySize:2,ivSize:2,blockSize:2});function d(e,n){var a=(this._lBlock>>>e^this._rBlock)&n;this._rBlock^=a,this._lBlock^=a<>>e^this._lBlock)&n;this._lBlock^=a,this._rBlock^=a<192.");var 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`+(t?"Method.Get":"Method."+((d=e.method).charAt(0).toUpperCase()+d.slice(1).toLowerCase()))+");\n",e.body&&"graphql"===e.body.mode&&!e.headers.has("Content-Type")&&e.addHeader({key:"Content-Type",value:"application/json"}),p+=i.parseHeader(e.toJSON(),n.trimRequestBody),e.body&&"formdata"===e.body.mode){let n=e.body.formdata,a=[];n.members.length>0&&(p+="request.AlwaysMultipartFormData = true;\n"),n.members.forEach(e=>{let n=e.key,t=e.type,r=e.disabled,i=e.contentType;"file"===t?"string"!=typeof e.src?Array.isArray(e.src)&&e.src.length?e.src.forEach(t=>{c(a,n,e.type,t,r,i)}):c(a,n,e.type,"/path/to/file",r,i):c(a,n,e.type,e.src,r,i):c(a,n,e.type,e.value,r,i)}),e.body.update({mode:"formdata",formdata:a})}return p+=i.parseBody(e,n.trimRequestBody),t&&(p+="request.OnBeforeRequest = (request) =>\n",p+="{\n",p+=`${a}request.Method = new HttpMethod("${e.method}");\n`,p+=`${a}return default;\n`,p+="};\n"),p+="RestResponse response = await client.ExecuteAsync(request);\n",p+="Console.WriteLine(response.Content);",p}t=e.exports={getOptions:function(){return[{name:"Include boilerplate",id:"includeBoilerplate",type:"boolean",default:!1,description:"Include class definition and import statements in snippet"},{name:"Set indentation count",id:"indentCount",type:"positiveInteger",default:2,description:"Set the number of indentation characters to add per code level"},{name:"Set indentation type",id:"indentType",type:"enum",availableOptions:["Tab","Space"],default:"Space",description:"Select the character used to indent lines of code"},{name:"Set request timeout",id:"requestTimeout",type:"positiveInteger",default:0,description:"Set number of milliseconds the request should wait for a response before timing out (use 0 for infinity)"},{name:"Follow redirects",id:"followRedirect",type:"boolean",default:!0,description:"Automatically follow HTTP redirects"},{name:"Trim request body 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pitviper","Brown spotted pitviper[4]","Cantor's pitviper","Elegant pitviper","Eyelash pit viper","Fan-Si-Pan horned pitviper","Flat-nosed pitviper","Godman's pit viper","Green tree pit viper","Habu pit viper","Hagen's pitviper","Horseshoe pitviper","Jerdon's pitviper","Kanburian pit viper","Kaulback's lance-headed pitviper","Kham Plateau pitviper","Large-eyed pitviper","Malabar rock pitviper","Malayan pit viper","Mangrove pit viper","Mangshan pitviper","Motuo bamboo pitviper","Nicobar bamboo pitviper","Philippine pitviper","Pointed-scaled pit viper[5]","Red-tailed bamboo pitviper","Schultze's pitviper","Stejneger's bamboo pitviper","Sri Lankan pit viper","Temple pit viper","Tibetan bamboo pitviper","Tiger pit viper","Undulated pit viper","Wagler's pit viper","Wirot's pit viper","Portuguese viper","Saw-scaled viper","Schlegel's viper","Sedge viper","Sharp-nosed viper","Snorkel viper","Temple viper","Tree viper","Chinese tree viper","Guatemalan tree viper","Hutton's tree viper","Indian tree viper","Large-scaled tree viper","Malcolm's tree viper","Nitsche's tree viper","Pope's tree viper","Rough-scaled tree viper","Rungwe tree viper","Sumatran tree viper","White-lipped tree viper","Ursini's viper","Western hog-nosed viper","Wart snake","Water moccasin","Water snake","Bocourt's water snake","Northern water snake","Whip snake","Long-nosed whip snake","Wolf snake","African wolf snake","Barred wolf snake","Worm snake","Common worm snake","Longnosed worm snake","Wutu","Yarara","Zebra snake"]},40679:e=>{"use 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n=e.fake,a=e.helpers;return this.zipCode=function(n){if(void 0===n){var t=e.definitions.address.postcode;n="string"==typeof t?t:e.random.arrayElement(t)}return a.replaceSymbols(n)},this.zipCodeByState=function(n){var a=e.definitions.address.postcode_by_state[n];return a?e.datatype.number(a):e.address.zipCode()},this.city=function(a){var t=["{{address.cityPrefix}} {{name.firstName}}{{address.citySuffix}}","{{address.cityPrefix}} {{name.firstName}}","{{name.firstName}}{{address.citySuffix}}","{{name.lastName}}{{address.citySuffix}}"];return!a&&e.definitions.address.city_name&&t.push("{{address.cityName}}"),"number"!=typeof a&&(a=e.datatype.number(t.length-1)),n(t[a])},this.cityPrefix=function(){return e.random.arrayElement(e.definitions.address.city_prefix)},this.citySuffix=function(){return e.random.arrayElement(e.definitions.address.city_suffix)},this.cityName=function(){return e.random.arrayElement(e.definitions.address.city_name)},this.streetName=function(){var n,a=e.address.streetSuffix();switch(""!==a&&(a=" "+a),e.datatype.number(1)){case 0:n=e.name.lastName()+a;break;case 1:n=e.name.firstName()+a}return n},this.streetAddress=function(n){void 0===n&&(n=!1);var t="";switch(e.datatype.number(2)){case 0:t=a.replaceSymbolWithNumber("#####")+" "+e.address.streetName();break;case 1:t=a.replaceSymbolWithNumber("####")+" "+e.address.streetName();break;case 2:t=a.replaceSymbolWithNumber("###")+" "+e.address.streetName()}return n?t+" "+e.address.secondaryAddress():t},this.streetSuffix=function(){return e.random.arrayElement(e.definitions.address.street_suffix)},this.streetPrefix=function(){return e.random.arrayElement(e.definitions.address.street_prefix)},this.secondaryAddress=function(){return a.replaceSymbolWithNumber(e.random.arrayElement(["Apt. ###","Suite ###"]))},this.county=function(){return e.random.arrayElement(e.definitions.address.county)},this.country=function(){return e.random.arrayElement(e.definitions.address.country)},this.countryCode=function(n){return void 0===n||"alpha-2"===n?e.random.arrayElement(e.definitions.address.country_code):"alpha-3"===n?e.random.arrayElement(e.definitions.address.country_code_alpha_3):e.random.arrayElement(e.definitions.address.country_code)},this.state=function(n){return e.random.arrayElement(e.definitions.address.state)},this.stateAbbr=function(){return e.random.arrayElement(e.definitions.address.state_abbr)},this.latitude=function(n,a,t){return n=n||90,a=a||-90,t=t||4,e.datatype.number({max:n,min:a,precision:parseFloat((0).toPrecision(t)+"1")}).toFixed(t)},this.longitude=function(n,a,t){return n=n||180,a=a||-180,t=t||4,e.datatype.number({max:n,min:a,precision:parseFloat((0).toPrecision(t)+"1")}).toFixed(t)},this.direction=function(n){return void 0===n||!1===n?e.random.arrayElement(e.definitions.address.direction):e.random.arrayElement(e.definitions.address.direction_abbr)},this.direction.schema={description:"Generates a direction. Use optional useAbbr bool to return abbreviation",sampleResults:["Northwest","South","SW","E"]},this.cardinalDirection=function(n){return void 0===n||!1===n?e.random.arrayElement(e.definitions.address.direction.slice(0,4)):e.random.arrayElement(e.definitions.address.direction_abbr.slice(0,4))},this.cardinalDirection.schema={description:"Generates a cardinal direction. Use optional useAbbr boolean to return abbreviation",sampleResults:["North","South","E","W"]},this.ordinalDirection=function(n){return void 0===n||!1===n?e.random.arrayElement(e.definitions.address.direction.slice(4,8)):e.random.arrayElement(e.definitions.address.direction_abbr.slice(4,8))},this.ordinalDirection.schema={description:"Generates an ordinal direction. 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The URL could be secure or insecure.",sampleResults:["http://rashawn.name","https://rashawn.name"]},n.domainName=function(){return e.internet.domainWord()+"."+e.internet.domainSuffix()},n.domainName.schema={description:"Generates a random domain name.",sampleResults:["marvin.org"]},n.domainSuffix=function(){return e.random.arrayElement(e.definitions.internet.domain_suffix)},n.domainSuffix.schema={description:"Generates a random domain suffix.",sampleResults:["net"]},n.domainWord=function(){return e.name.firstName().replace(/([\\~#&*{}/:<>?|\"'])/gi,"").toLowerCase()},n.domainWord.schema={description:"Generates a random domain word.",sampleResults:["alyce"]},n.ip=function(){for(var n=function(){return e.datatype.number(255).toFixed(0)},a=[],t=0;t<4;t++)a[t]=n();return a.join(".")},n.ip.schema={description:"Generates a random IP.",sampleResults:["97.238.241.11"]},n.ipv6=function(){for(var n=function(){for(var n="",a=0;a<4;a++)n+=e.random.arrayElement(["0","1","2","3","4","5","6","7","8","9","a","b","c","d","e","f"]);return n},a=[],t=0;t<8;t++)a[t]=n();return a.join(":")},n.ipv6.schema={description:"Generates a random IPv6 address.",sampleResults:["2001:0db8:6276:b1a7:5213:22f1:25df:c8a0"]},n.port=function(){return e.datatype.number({min:0,max:65535})},n.port.schema={description:"Generates a random port number.",sampleResults:["4422"]},n.userAgent=function(){return t.generate(e)},n.userAgent.schema={description:"Generates a random user agent.",sampleResults:["Mozilla/5.0 (Macintosh; U; PPC Mac OS X 10_7_5 rv:6.0; SL) AppleWebKit/532.0.1 (KHTML, like Gecko) Version/7.1.6 Safari/532.0.1"]},n.color=function(n,a,t){n=n||0,a=a||0,t=t||0;var r=Math.floor((e.datatype.number(256)+n)/2),i=Math.floor((e.datatype.number(256)+a)/2),o=Math.floor((e.datatype.number(256)+t)/2),s=r.toString(16),c=i.toString(16),l=o.toString(16);return"#"+(1===s.length?"0":"")+s+(1===c.length?"0":"")+c+(1===l.length?"0":"")+l},n.color.schema={description:"Generates a random hexadecimal color.",sampleResults:["#06267f"],properties:{baseRed255:{type:"number",required:!1,description:"The red value. Valid values are 0 - 255."},baseGreen255:{type:"number",required:!1,description:"The green value. Valid values are 0 - 255."},baseBlue255:{type:"number",required:!1,description:"The blue value. Valid values are 0 - 255."}}},n.mac=function(n){var a,t="",r=":";for(-1!==["-",""].indexOf(n)&&(r=n),a=0;a<12;a++)t+=e.datatype.number(15).toString(16),a%2==1&&11!=a&&(t+=r);return t},n.mac.schema={description:"Generates a random mac address.",sampleResults:["78:06:cc:ae:b3:81"]},n.password=function(n,a,t,r){var i,o;void 0===a&&(a=!1),o=/[aeiouAEIOU]$/,i=/[bcdfghjklmnpqrstvwxyzBCDFGHJKLMNPQRSTVWXYZ]$/;var s=function(n,a,t,r){var c,l;return null==n&&(n=10),null==a&&(a=!0),null==t&&(t=/\w/),null==r&&(r=""),r.length>=n?r:(a&&(t=r.match(i)?o:i),l=e.datatype.number(94)+33,c=String.fromCharCode(l),a&&(c=c.toLowerCase()),c.match(t)?s(n,a,t,""+r+c):s(n,a,t,r))};return s(n=n||15,a,t,r)},n.password.schema={description:"Generates a random password.",sampleResults:["AM7zl6Mg","susejofe"],properties:{length:{type:"number",required:!1,description:"The number of characters in the password."},memorable:{type:"boolean",required:!1,description:"Whether a password should be easy to remember."},pattern:{type:"regex",required:!1,description:"A regex to match each character of the password against. This parameter will be negated if the memorable setting is turned on."},prefix:{type:"string",required:!1,description:"A value to prepend to the generated password. The prefix counts towards the length of the password."}}}}},41114:e=>{e.exports=["Mr.","Mrs.","Ms.","Miss","Dr."]},41123:(e,n,a)=>{const t=a(35087),{MAX_LENGTH:r,MAX_SAFE_INTEGER:i}=a(79781),{safeRe:o,t:s}=a(78151),c=a(1676),{compareIdentifiers:l}=a(17772);class u{constructor(e,n){if(n=c(n),e instanceof u){if(e.loose===!!n.loose&&e.includePrerelease===!!n.includePrerelease)return e;e=e.version}else if("string"!=typeof e)throw new TypeError(`Invalid version. Must be a string. Got type "${typeof e}".`);if(e.length>r)throw new TypeError(`version is longer than ${r} characters`);t("SemVer",e,n),this.options=n,this.loose=!!n.loose,this.includePrerelease=!!n.includePrerelease;const a=e.trim().match(n.loose?o[s.LOOSE]:o[s.FULL]);if(!a)throw new TypeError(`Invalid Version: ${e}`);if(this.raw=e,this.major=+a[1],this.minor=+a[2],this.patch=+a[3],this.major>i||this.major<0)throw new TypeError("Invalid major version");if(this.minor>i||this.minor<0)throw new TypeError("Invalid minor version");if(this.patch>i||this.patch<0)throw new TypeError("Invalid patch version");a[4]?this.prerelease=a[4].split(".").map(e=>{if(/^[0-9]+$/.test(e)){const n=+e;if(n>=0&&n=0;)"number"==typeof this.prerelease[t]&&(this.prerelease[t]++,t=-2);if(-1===t){if(n===this.prerelease.join(".")&&!1===a)throw new Error("invalid increment argument: identifier already exists");this.prerelease.push(e)}}if(n){let t=[n,e];!1===a&&(t=[n]),0===l(this.prerelease[0],n)?isNaN(this.prerelease[1])&&(this.prerelease=t):this.prerelease=t}break}default:throw new Error(`invalid increment argument: ${e}`)}return this.raw=this.format(),this.build.length&&(this.raw+=`+${this.build.join(".")}`),this}}e.exports=u},41125:(e,n,a)=>{var t=a(36656).Z;e.exports=function(){var e=new t;e.init_genrand((new Date).getTime()%1e9),this.rand=function(n,a){return void 0===n&&(a=0,n=32768),Math.floor(e.genrand_real2()*(n-a)+a)},this.seed=function(n){if("number"!=typeof n)throw new Error("seed(S) must take numeric argument; is "+typeof n);e.init_genrand(n)},this.seed_array=function(n){if("object"!=typeof n)throw new Error("seed_array(A) must take array of numbers; is "+typeof n);e.init_by_array(n,n.length)}}},41222:e=>{"use 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rattlesnake","Tancitaran dusky rattlesnake","Tiger rattlesnake","Timber rattlesnake","Tropical rattlesnake","Twin-spotted rattlesnake","Uracoan rattlesnake","Western diamondback rattlesnake","Ribbon snake","Rinkhals","River jack","Sea snake","Annulated sea snake","Beaked sea snake","Dubois's sea snake","Hardwicke's sea snake","Hook Nosed Sea Snake","Olive sea snake","Pelagic sea snake","Stoke's sea snake","Yellow-banded sea snake","Yellow-bellied sea snake","Yellow-lipped sea snake","Shield-tailed snake","Sidewinder","Colorado desert sidewinder","Mojave desert sidewinder","Sonoran sidewinder","Small-eyed snake","Smooth snake","Brazilian smooth snake","European smooth snake","Stiletto snake","Striped snake","Japanese striped snake","Sunbeam snake","Taipan","Central ranges taipan","Coastal taipan","Inland taipan","Paupan taipan","Tentacled snake","Tic polonga","Tiger snake","Chappell Island tiger snake","Common tiger snake","Down's tiger snake","Eastern tiger snake","King Island tiger 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pitviper","Philippine pitviper","Pointed-scaled pit viper[5]","Red-tailed bamboo pitviper","Schultze's pitviper","Stejneger's bamboo pitviper","Sri Lankan pit viper","Temple pit viper","Tibetan bamboo pitviper","Tiger pit viper","Undulated pit viper","Wagler's pit viper","Wirot's pit viper","Portuguese viper","Saw-scaled viper","Schlegel's viper","Sedge viper","Sharp-nosed viper","Snorkel viper","Temple viper","Tree viper","Chinese tree viper","Guatemalan tree viper","Hutton's tree viper","Indian tree viper","Large-scaled tree viper","Malcolm's tree viper","Nitsche's tree viper","Pope's tree viper","Rough-scaled tree viper","Rungwe tree viper","Sumatran tree viper","White-lipped tree viper","Ursini's viper","Western hog-nosed viper","Wart snake","Water moccasin","Water snake","Bocourt's water snake","Northern water snake","Whip snake","Long-nosed whip snake","Wolf snake","African wolf snake","Barred wolf snake","Worm snake","Common worm snake","Longnosed worm snake","Wutu","Yarara","Zebra snake"]},43092:(e,n,a)=>{var t,r=a(16526).lodash,i=a(80449).PropertyList,o=a(12772).Url,s=a(74423).UrlMatchPattern,c=s.MATCH_ALL_URLS;r.inherit(t=function(e,n){t.super_.call(this,s,e,n)},i),r.assign(t.prototype,{_postman_proprtyIsSerialisedAsPlural:!0,test:function(e){var n,a,t;return a=this.find(function(e){return e.pattern===c}),!!r.isObject(a)||(n=new o(e),t=this.find(function(e){var a=e._matchPatternObject;return!r.isEmpty(a)&&(e.testProtocol(n.protocol)&&e.testHost(n.getHost())&&e.testPort(n.port,n.protocol)&&e.testPath(n.getPath()))}),Boolean(t))}}),r.assign(t,{_postman_propertyName:"UrlMatchPatternList"}),e.exports={UrlMatchPatternList:t}},43121:(e,n,a)=>{var t={};e.exports=t,t.visa=a(22084),t.mastercard=a(97049),t.discover=a(72598),t.american_express=a(56128),t.diners_club=a(84059),t.jcb=a(3626),t.switch=a(25917),t.solo=a(55294),t.maestro=a(11844),t.laser=a(6162),t.instapayment=a(47510)},43128:function(e,n,a){var 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anaconda","Arafura file snake","Asp","European asp","Egyptian asp","African beaked snake","Ball Python","Bird snake","Black-headed snake","Mexican black kingsnake","Black rat snake","Black snake","Red-bellied black snake","Blind snake","Brahminy blind snake","Texas blind snake","Western blind snake","Boa","Abaco Island boa","Amazon tree boa","Boa constrictor","Cuban boa","Dumeril's boa","Dwarf boa","Emerald tree boa","Hogg Island boa","Jamaican boa","Madagascar ground boa","Madagascar tree boa","Puerto Rican boa","Rainbow boa","Red-tailed boa","Rosy boa","Rubber boa","Sand boa","Tree boa","Boiga","Boomslang","Brown snake","Eastern brown snake","Bull snake","Bushmaster","Dwarf beaked snake","Rufous beaked snake","Canebrake","Cantil","Cascabel","Cat-eyed snake","Banded cat-eyed snake","Green cat-eyed snake","Cat snake","Andaman cat snake","Beddome's cat snake","Dog-toothed cat snake","Forsten's cat snake","Gold-ringed cat snake","Gray cat snake","Many-spotted cat snake","Tawny cat snake","Chicken snake","Coachwhip snake","Cobra","Andaman cobra","Arabian cobra","Asian cobra","Banded water cobra","Black-necked cobra","Black-necked spitting cobra","Black tree cobra","Burrowing cobra","Cape cobra","Caspian cobra","Congo water cobra","Common cobra","Eastern water cobra","Egyptian cobra","Equatorial spitting cobra","False cobra","False water cobra","Forest cobra","Gold tree cobra","Indian cobra","Indochinese spitting cobra","Javan spitting cobra","King cobra","Mandalay cobra","Mozambique spitting cobra","North Philippine cobra","Nubian spitting cobra","Philippine cobra","Red spitting cobra","Rinkhals cobra","Shield-nosed cobra","Sinai desert cobra","Southern Indonesian spitting cobra","Southern Philippine cobra","Southwestern black spitting cobra","Snouted cobra","Spectacled cobra","Spitting cobra","Storm water cobra","Thai cobra","Taiwan cobra","Zebra spitting cobra","Collett's snake","Congo snake","Copperhead","American copperhead","Australian copperhead","Coral snake","Arizona coral snake","Beddome's coral snake","Brazilian coral snake","Cape coral snake","Harlequin coral snake","High Woods coral snake","Malayan long-glanded coral snake","Texas Coral Snake","Western coral snake","Corn snake","South eastern corn snake","Cottonmouth","Crowned snake","Cuban wood snake","Eastern hognose snake","Egg-eater","Eastern coral snake","Fer-de-lance","Fierce snake","Fishing snake","Flying snake","Golden tree snake","Indian flying snake","Moluccan flying snake","Ornate flying snake","Paradise flying snake","Twin-Barred tree snake","Banded Flying Snake","Fox snake, three species of Pantherophis","Forest flame snake","Garter snake","Checkered garter snake","Common garter snake","San Francisco garter snake","Texas garter snake","Cape gopher snake","Grass snake","Green snake","Rough green snake","Smooth green snake","Ground snake","Common ground snake","Three-lined ground snake","Western ground snake","Habu","Hognose snake","Blonde hognose snake","Dusty hognose snake","Eastern hognose snake","Jan's hognose snake","Giant Malagasy hognose snake","Mexican hognose snake","South American hognose snake","Hundred pacer","Ikaheka snake","Indigo snake","Jamaican Tree Snake","Keelback","Asian keelback","Assam keelback","Black-striped keelback","Buff striped keelback","Burmese keelback","Checkered keelback","Common keelback","Hill keelback","Himalayan keelback","Khasi Hills keelback","Modest keelback","Nicobar Island keelback","Nilgiri keelback","Orange-collared keelback","Red-necked keelback","Sikkim keelback","Speckle-bellied keelback","White-lipped keelback","Wynaad keelback","Yunnan keelback","King brown","King cobra","King snake","California kingsnake","Desert kingsnake","Grey-banded kingsnake","North eastern king snake","Prairie kingsnake","Scarlet kingsnake","Speckled kingsnake","Krait","Banded krait","Blue krait","Black krait","Burmese krait","Ceylon krait","Indian krait","Lesser black krait","Malayan krait","Many-banded krait","Northeastern hill krait","Red-headed krait","Sind krait","Large shield snake","Lancehead","Common lancehead","Lora","Grey Lora","Lyre snake","Baja California lyresnake","Central American lyre snake","Texas lyre snake","Eastern lyre snake","Machete savane","Mamba","Black mamba","Green mamba","Eastern green mamba","Western green mamba","Mamushi","Mangrove snake","Milk snake","Moccasin snake","Montpellier snake","Mud snake","Eastern mud snake","Western mud snake","Mussurana","Night snake","Cat-eyed night snake","Texas night snake","Nichell snake","Narrowhead Garter Snake","Nose-horned viper","Rhinoceros viper","Vipera ammodytes","Parrot snake","Mexican parrot snake","Patchnose snake","Perrotet's shieldtail snake","Pine snake","Pipe snake","Asian pipe snake","Dwarf pipe snake","Red-tailed pipe snake","Python","African rock python","Amethystine python","Angolan python","Australian scrub python","Ball python","Bismarck ringed python","Black headed python","Blood python","Boelen python","Borneo short-tailed python","Bredl's python","Brown water python","Burmese python","Calabar python","Western carpet python","Centralian carpet python","Coastal carpet python","Inland carpet python","Jungle carpet python","New Guinea carpet python","Northwestern carpet python","Southwestern carpet python","Children's python","Dauan Island water python","Desert woma python","Diamond python","Flinders python","Green tree python","Halmahera python","Indian python","Indonesian water python","Macklot's python","Mollucan python","Oenpelli python","Olive python","Papuan python","Pygmy python","Red blood python","Reticulated python","Kayaudi dwarf reticulated python","Selayer reticulated python","Rough-scaled python","Royal python","Savu python","Spotted python","Stimson's python","Sumatran short-tailed python","Tanimbar python","Timor python","Wetar Island python","White-lipped python","Brown white-lipped python","Northern white-lipped python","Southern white-lipped python","Woma python","Western woma python","Queen snake","Racer","Bimini racer","Buttermilk racer","Eastern racer","Eastern yellowbelly sad racer","Mexican racer","Southern black racer","Tan racer","West Indian racer","Raddysnake","Southwestern blackhead snake","Rat snake","Baird's rat snake","Beauty rat snake","Great Plains rat snake","Green rat snake","Japanese forest rat snake","Japanese rat snake","King rat snake","Mandarin rat snake","Persian rat snake","Red-backed rat snake","Twin-spotted rat snake","Yellow-striped rat snake","Manchurian Black Water Snake","Rattlesnake","Arizona black rattlesnake","Aruba rattlesnake","Chihuahuan ridge-nosed rattlesnake","Coronado Island rattlesnake","Durango rock rattlesnake","Dusky pigmy rattlesnake","Eastern diamondback rattlesnake","Grand Canyon rattlesnake","Great Basin rattlesnake","Hopi rattlesnake","Lance-headed rattlesnake","Long-tailed rattlesnake","Massasauga rattlesnake","Mexican green rattlesnake","Mexican west coast rattlesnake","Midget faded rattlesnake","Mojave rattlesnake","Northern black-tailed rattlesnake","Oaxacan small-headed rattlesnake","Rattler","Red diamond rattlesnake","Southern Pacific rattlesnake","Southwestern speckled rattlesnake","Tancitaran dusky rattlesnake","Tiger rattlesnake","Timber rattlesnake","Tropical rattlesnake","Twin-spotted rattlesnake","Uracoan rattlesnake","Western diamondback rattlesnake","Ribbon snake","Rinkhals","River jack","Sea snake","Annulated sea snake","Beaked sea snake","Dubois's sea snake","Hardwicke's sea snake","Hook Nosed Sea Snake","Olive sea snake","Pelagic sea snake","Stoke's sea snake","Yellow-banded sea snake","Yellow-bellied sea snake","Yellow-lipped sea snake","Shield-tailed snake","Sidewinder","Colorado desert sidewinder","Mojave desert sidewinder","Sonoran sidewinder","Small-eyed snake","Smooth snake","Brazilian smooth snake","European smooth snake","Stiletto snake","Striped snake","Japanese striped snake","Sunbeam snake","Taipan","Central ranges taipan","Coastal taipan","Inland taipan","Paupan taipan","Tentacled snake","Tic polonga","Tiger snake","Chappell Island tiger snake","Common tiger snake","Down's tiger snake","Eastern tiger snake","King Island tiger snake","Krefft's tiger snake","Peninsula tiger snake","Tasmanian tiger snake","Western tiger snake","Tigre snake","Tree snake","Blanding's tree snake","Blunt-headed tree snake","Brown tree snake","Long-nosed tree snake","Many-banded tree snake","Northern tree snake","Trinket snake","Black-banded trinket snake","Twig snake","African twig snake","Twin Headed King Snake","Titanboa","Urutu","Vine snake","Asian Vine Snake, Whip Snake","American Vine Snake","Mexican vine snake","Viper","Asp viper","Bamboo viper","Bluntnose viper","Brazilian mud Viper","Burrowing viper","Bush viper","Great Lakes bush viper","Hairy bush viper","Nitsche's bush viper","Rough-scaled bush viper","Spiny bush viper","Carpet viper","Crossed viper","Cyclades blunt-nosed viper","Eyelash viper","False horned viper","Fea's viper","Fifty pacer","Gaboon viper","Hognosed viper","Horned desert viper","Horned viper","Jumping viper","Kaznakov's viper","Leaf-nosed viper","Leaf viper","Levant viper","Long-nosed viper","McMahon's viper","Mole viper","Nose-horned viper","Rhinoceros viper","Vipera ammodytes","Palestine viper","Pallas' viper","Palm viper","Amazonian palm viper","Black-speckled palm-pitviper","Eyelash palm-pitviper","Green palm viper","Mexican palm-pitviper","Guatemalan palm viper","Honduran palm viper","Siamese palm viper","Side-striped palm-pitviper","Yellow-lined palm viper","Pit viper","Banded pitviper","Bamboo pitviper","Barbour's pit viper","Black-tailed horned pit viper","Bornean pitviper","Brongersma's pitviper","Brown spotted pitviper[4]","Cantor's pitviper","Elegant pitviper","Eyelash pit viper","Fan-Si-Pan horned pitviper","Flat-nosed pitviper","Godman's pit viper","Green tree pit viper","Habu pit viper","Hagen's pitviper","Horseshoe pitviper","Jerdon's pitviper","Kanburian pit viper","Kaulback's lance-headed pitviper","Kham Plateau pitviper","Large-eyed pitviper","Malabar rock pitviper","Malayan pit viper","Mangrove pit viper","Mangshan pitviper","Motuo bamboo pitviper","Nicobar bamboo pitviper","Philippine pitviper","Pointed-scaled pit viper[5]","Red-tailed bamboo pitviper","Schultze's pitviper","Stejneger's bamboo pitviper","Sri Lankan pit viper","Temple pit viper","Tibetan bamboo pitviper","Tiger pit viper","Undulated pit viper","Wagler's pit viper","Wirot's pit viper","Portuguese viper","Saw-scaled viper","Schlegel's viper","Sedge viper","Sharp-nosed viper","Snorkel viper","Temple viper","Tree viper","Chinese tree viper","Guatemalan tree viper","Hutton's tree viper","Indian tree viper","Large-scaled tree viper","Malcolm's tree viper","Nitsche's tree viper","Pope's tree viper","Rough-scaled tree viper","Rungwe tree viper","Sumatran tree viper","White-lipped tree viper","Ursini's viper","Western hog-nosed viper","Wart snake","Water moccasin","Water snake","Bocourt's water snake","Northern water snake","Whip snake","Long-nosed whip snake","Wolf snake","African wolf snake","Barred wolf snake","Worm snake","Common worm snake","Longnosed worm snake","Wutu","Yarara","Zebra snake"]},43240:function(e,n,a){var t;e.exports=(t=a(19021),function(e){var n=t,a=n.lib,r=a.Base,i=a.WordArray,o=n.x64={};o.Word=r.extend({init:function(e,n){this.high=e,this.low=n}}),o.WordArray=r.extend({init:function(n,a){n=this.words=n||[],this.sigBytes=a!=e?a:8*n.length},toX32:function(){for(var e=this.words,n=e.length,a=[],t=0;t{var t={};e.exports=t,t.account_type=a(82295),t.transaction_type=a(85814),t.currency=a(21600),t.credit_card=a(63620)},43267:e=>{"use 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strict";for(var t=[a(6838),a(42459),a(44805),a(74941),a(81891),a(77853),a(66229),a(10448),a(28864)],r=0;r{e.exports=["North","East","West","South","New","Lake","Port"]},46669:(e,n,a)=>{e.exports={convert:a(97907).convert,getOptions:a(97907).getOptions}},46821:e=>{e.exports=["5018-#{4}-#{4}-#{3}L","5020-#{4}-#{4}-#{3}L","5038-#{4}-#{4}-#{3}L","5893-#{4}-#{4}-#{3}L","6304-#{4}-#{4}-#{3}L","6759-#{4}-#{4}-#{3}L","676[1-3]-####-####-###L","5018#{11,15}L","5020#{11,15}L","5038#{11,15}L","5893#{11,15}L","6304#{11,15}L","6759#{11,15}L","676[1-3]#{11,15}L"]},46839:e=>{var n={},a={},t=[],r=function(e,n){return void 0===e[n]?-1:0};n.errorMessage=function(e,n,t){throw console.error("error",n),console.log("found",Object.keys(a).length,"unique entries before throwing error. \nretried:",0,"\ntotal time:",e-t.startTime,"ms"),new Error(n+" for uniqueness check \n\nMay not be able to generate any more unique values with current settings. \nTry adjusting maxTime or maxRetries parameters for 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Array(256),l=0;l<256;l++)c[l]=r;function u(e,n){if(this.encodingName=e.encodingName,!e)throw new Error("DBCS codec is called without the data.");if(!e.table)throw new Error("Encoding '"+this.encodingName+"' has no data.");var a=e.table();this.decodeTables=[],this.decodeTables[0]=c.slice(0),this.decodeTableSeq=[];for(var t=0;ts)throw new Error("gb18030 decode tables conflict at byte 2");for(var m=this.decodeTables[s-p[d]],f=129;f<=254;f++){if(m[f]===r)m[f]=s-l;else{if(m[f]===s-l)continue;if(m[f]>s)throw new Error("gb18030 decode tables conflict at byte 3")}for(var h=this.decodeTables[s-m[f]],g=48;g<=57;g++)h[g]===r&&(h[g]=i)}}}this.defaultCharUnicode=n.defaultCharUnicode,this.encodeTable=[],this.encodeTableSeq=[];var y={};if(e.encodeSkipVals)for(t=0;tn)return-1;for(var a=0,t=e.length;a>1);e[r]<=n?a=r:t=r}return a}u.prototype.encoder=p,u.prototype.decoder=d,u.prototype._getDecodeTrieNode=function(e){for(var n=[];e>0;e>>>=8)n.push(255&e);0==n.length&&n.push(0);for(var a=this.decodeTables[0],t=n.length-1;t>0;t--){var i=a[n[t]];if(i==r)a[n[t]]=s-this.decodeTables.length,this.decodeTables.push(a=c.slice(0));else{if(!(i<=s))throw new Error("Overwrite byte in "+this.encodingName+", addr: "+e.toString(16));a=this.decodeTables[s-i]}}return a},u.prototype._addDecodeChunk=function(e){var n=parseInt(e[0],16),a=this._getDecodeTrieNode(n);n&=255;for(var t=1;t255)throw new Error("Incorrect chunk in "+this.encodingName+" at addr "+e[0]+": too long"+n)},u.prototype._getEncodeBucket=function(e){var n=e>>8;return void 0===this.encodeTable[n]&&(this.encodeTable[n]=c.slice(0)),this.encodeTable[n]},u.prototype._setEncodeChar=function(e,n){var a=this._getEncodeBucket(e),t=255&e;a[t]<=o?this.encodeTableSeq[o-a[t]][-1]=n:a[t]==r&&(a[t]=n)},u.prototype._setEncodeSequence=function(e,n){var a,t=e[0],i=this._getEncodeBucket(t),s=255&t;i[s]<=o?a=this.encodeTableSeq[o-i[s]]:(a={},i[s]!==r&&(a[-1]=i[s]),i[s]=o-this.encodeTableSeq.length,this.encodeTableSeq.push(a));for(var c=1;c=0)this._setEncodeChar(l,u),r=!0;else if(l<=s){var p=s-l;if(!i[p]){var d=u<<8>>>0;this._fillEncodeTable(p,d,a)?r=!0:i[p]=!0}}else l<=o&&(this._setEncodeSequence(this.decodeTableSeq[o-l],u),r=!0)}return r},p.prototype.write=function(e){for(var n=t.alloc(e.length*(this.gb18030?4:3)),a=this.leadSurrogate,i=this.seqObj,s=-1,c=0,l=0;;){if(-1===s){if(c==e.length)break;var u=e.charCodeAt(c++)}else{u=s;s=-1}if(55296<=u&&u<57344)if(u<56320){if(-1===a){a=u;continue}a=u,u=r}else-1!==a?(u=65536+1024*(a-55296)+(u-56320),a=-1):u=r;else-1!==a&&(s=u,u=r,a=-1);var p=r;if(void 0!==i&&u!=r){var d=i[u];if("object"==typeof d){i=d;continue}"number"==typeof d?p=d:null==d&&void 0!==(d=i[-1])&&(p=d,s=u),i=void 0}else if(u>=0){var f=this.encodeTable[u>>8];if(void 0!==f&&(p=f[255&u]),p<=o){i=this.encodeTableSeq[o-p];continue}if(p==r&&this.gb18030){var h=m(this.gb18030.uChars,u);if(-1!=h){p=this.gb18030.gbChars[h]+(u-this.gb18030.uChars[h]);n[l++]=129+Math.floor(p/12600),p%=12600,n[l++]=48+Math.floor(p/1260),p%=1260,n[l++]=129+Math.floor(p/10),p%=10,n[l++]=48+p;continue}}}p===r&&(p=this.defaultCharSingleByte),p<256?n[l++]=p:p<65536?(n[l++]=p>>8,n[l++]=255&p):p<16777216?(n[l++]=p>>16,n[l++]=p>>8&255,n[l++]=255&p):(n[l++]=p>>>24,n[l++]=p>>>16&255,n[l++]=p>>>8&255,n[l++]=255&p)}return this.seqObj=i,this.leadSurrogate=a,n.slice(0,l)},p.prototype.end=function(){if(-1!==this.leadSurrogate||void 0!==this.seqObj){var e=t.alloc(10),n=0;if(this.seqObj){var a=this.seqObj[-1];void 0!==a&&(a<256?e[n++]=a:(e[n++]=a>>8,e[n++]=255&a)),this.seqObj=void 0}return-1!==this.leadSurrogate&&(e[n++]=this.defaultCharSingleByte,this.leadSurrogate=-1),e.slice(0,n)}},p.prototype.findIdx=m,d.prototype.write=function(e){for(var 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t=a(67666),r=a(53784).sanitizeOptions,{parseHeader:i,parseBody:o}=a(42243),{addDefaultContentType:s,formatFormData:c}=a(36023),l=["GET","POST","PUT","DELETE","HEAD","OPTIONS","CONNECT","PATH","TRACE"];const u=e.exports={getOptions:function(){return[{name:"Set indentation count",id:"indentCount",type:"positiveInteger",default:4,description:"Set the number of indentation characters to add per code level"},{name:"Set indentation type",id:"indentType",type:"enum",availableOptions:["Tab","Space"],default:"Space",description:"Select the character used to indent lines of code"},{name:"Set request timeout",id:"requestTimeout",type:"positiveInteger",default:0,description:"Set number of milliseconds the request should wait for a response before timing out (use 0 for infinity)"},{name:"Follow redirects",id:"followRedirect",type:"boolean",default:!0,description:"Automatically follow HTTP redirects"},{name:"Trim request body fields",id:"trimRequestBody",type:"boolean",default:!1,description:"Remove 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strict";e.exports={437:"cp437",737:"cp737",775:"cp775",850:"cp850",852:"cp852",855:"cp855",856:"cp856",857:"cp857",858:"cp858",860:"cp860",861:"cp861",862:"cp862",863:"cp863",864:"cp864",865:"cp865",866:"cp866",869:"cp869",874:"windows874",922:"cp922",1046:"cp1046",1124:"cp1124",1125:"cp1125",1129:"cp1129",1133:"cp1133",1161:"cp1161",1162:"cp1162",1163:"cp1163",1250:"windows1250",1251:"windows1251",1252:"windows1252",1253:"windows1253",1254:"windows1254",1255:"windows1255",1256:"windows1256",1257:"windows1257",1258:"windows1258",28591:"iso88591",28592:"iso88592",28593:"iso88593",28594:"iso88594",28595:"iso88595",28596:"iso88596",28597:"iso88597",28598:"iso88598",28599:"iso88599",28600:"iso885910",28601:"iso885911",28603:"iso885913",28604:"iso885914",28605:"iso885915",28606:"iso885916",windows874:{type:"_sbcs",chars:"\u20ac\ufffd\ufffd\ufffd\ufffd\u2026\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\u2018\u2019\u201c\u201d\u2022\u2013\u2014\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\ufffd\xa0\u0e01\u0e02\u0e03\u0e04\u0e05\u0e06\u0e07\u0e08\u0e09\u0e0a\u0e0b\u0e0c\u0e0d\u0e0e\u0e0f\u0e10\u0e11\u0e12\u0e13\u0e14\u0e15\u0e16\u0e17\u0e18\u0e19\u0e1a\u0e1b\u0e1c\u0e1d\u0e1e\u0e1f\u0e20\u0e21\u0e22\u0e23\u0e24\u0e25\u0e26\u0e27\u0e28\u0e29\u0e2a\u0e2b\u0e2c\u0e2d\u0e2e\u0e2f\u0e30\u0e31\u0e32\u0e33\u0e34\u0e35\u0e36\u0e37\u0e38\u0e39\u0e3a\ufffd\ufffd\ufffd\ufffd\u0e3f\u0e40\u0e41\u0e42\u0e43\u0e44\u0e45\u0e46\u0e47\u0e48\u0e49\u0e4a\u0e4b\u0e4c\u0e4d\u0e4e\u0e4f\u0e50\u0e51\u0e52\u0e53\u0e54\u0e55\u0e56\u0e57\u0e58\u0e59\u0e5a\u0e5b\ufffd\ufffd\ufffd\ufffd"},win874:"windows874",cp874:"windows874",windows1250:{type:"_sbcs",chars:"\u20ac\ufffd\u201a\ufffd\u201e\u2026\u2020\u2021\ufffd\u2030\u0160\u2039\u015a\u0164\u017d\u0179\ufffd\u2018\u2019\u201c\u201d\u2022\u2013\u2014\ufffd\u2122\u0161\u203a\u015b\u0165\u017e\u017a\xa0\u02c7\u02d8\u0141\xa4\u0104\xa6\xa7\xa8\xa9\u015e\xab\xac\xad\xae\u017b\xb0\xb1\u02db\u0142\xb4\xb5\xb6\xb7\xb8\u0105\u015f\xbb\u013d\u02dd\u013e\u017c\u0154\xc1\xc2\u0102\xc4\u0139\u0106\xc7\u010c\xc9\u0118\xcb\u011a\xcd\xce\u010e\u0110\u0143\u0147\xd3\xd4\u0150\xd6\xd7\u0158\u016e\xda\u0170\xdc\xdd\u0162\xdf\u0155\xe1\xe2\u0103\xe4\u013a\u0107\xe7\u010d\xe9\u0119\xeb\u011b\xed\xee\u010f\u0111\u0144\u0148\xf3\xf4\u0151\xf6\xf7\u0159\u016f\xfa\u0171\xfc\xfd\u0163\u02d9"},win1250:"windows1250",cp1250:"windows1250",windows1251:{type:"_sbcs",chars:"\u0402\u0403\u201a\u0453\u201e\u2026\u2020\u2021\u20ac\u2030\u0409\u2039\u040a\u040c\u040b\u040f\u0452\u2018\u2019\u201c\u201d\u2022\u2013\u2014\ufffd\u2122\u0459\u203a\u045a\u045c\u045b\u045f\xa0\u040e\u045e\u0408\xa4\u0490\xa6\xa7\u0401\xa9\u0404\xab\xac\xad\xae\u0407\xb0\xb1\u0406\u0456\u0491\xb5\xb6\xb7\u0451\u2116\u0454\xbb\u0458\u0405\u0455\u0457\u0410\u0411\u0412\u0413\u0414\u0415\u0416\u0417\u0418\u0419\u041a\u041b\u041c\u041d\u041e\u041f\u0420\u0421\u0422\u0423\u0424\u0425\u0426\u0427\u0428\u0429\u042a\u042b\u042c\u042d\u042e\u042f\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f"},win1251:"windows1251",cp1251:"windows1251",windows1252:{type:"_sbcs",chars:"\u20ac\ufffd\u201a\u0192\u201e\u2026\u2020\u2021\u02c6\u2030\u0160\u2039\u0152\ufffd\u017d\ufffd\ufffd\u2018\u2019\u201c\u201d\u2022\u2013\u2014\u02dc\u2122\u0161\u203a\u0153\ufffd\u017e\u0178\xa0\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xab\xac\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xbb\xbc\xbd\xbe\xbf\xc0\xc1\xc2\xc3\xc4\xc5\xc6\xc7\xc8\xc9\xca\xcb\xcc\xcd\xce\xcf\xd0\xd1\xd2\xd3\xd4\xd5\xd6\xd7\xd8\xd9\xda\xdb\xdc\xdd\xde\xdf\xe0\xe1\xe2\xe3\xe4\xe5\xe6\xe7\xe8\xe9\xea\xeb\xec\xed\xee\xef\xf0\xf1\xf2\xf3\xf4\xf5\xf6\xf7\xf8\xf9\xfa\xfb\xfc\xfd\xfe\xff"},win1252:"windows1252",cp1252:"windows1252",windows1253:{type:"_sbcs",chars:"\u20ac\ufffd\u201a\u0192\u201e\u2026\u2020\u2021\ufffd\u2030\ufffd\u2039\ufffd\ufffd\ufffd\ufffd\ufffd\u2018\u2019\u201c\u201d\u2022\u2013\u2014\ufffd\u2122\ufffd\u203a\ufffd\ufffd\ufffd\ufffd\xa0\u0385\u0386\xa3\xa4\xa5\xa6\xa7\xa8\xa9\ufffd\xab\xac\xad\xae\u2015\xb0\xb1\xb2\xb3\u0384\xb5\xb6\xb7\u0388\u0389\u038a\xbb\u038c\xbd\u038e\u038f\u0390\u0391\u0392\u0393\u0394\u0395\u0396\u0397\u0398\u0399\u039a\u039b\u039c\u039d\u039e\u039f\u03a0\u03a1\ufffd\u03a3\u03a4\u03a5\u03a6\u03a7\u03a8\u03a9\u03aa\u03ab\u03ac\u03ad\u03ae\u03af\u03b0\u03b1\u03b2\u03b3\u03b4\u03b5\u03b6\u03b7\u03b8\u03b9\u03ba\u03bb\u03bc\u03bd\u03be\u03bf\u03c0\u03c1\u03c2\u03c3\u03c4\u03c5\u03c6\u03c7\u03c8\u03c9\u03ca\u03cb\u03cc\u03cd\u03ce\ufffd"},win1253:"windows1253",cp1253:"windows1253",windows1254:{type:"_sbcs",chars:"\u20ac\ufffd\u201a\u0192\u201e\u2026\u2020\u2021\u02c6\u2030\u0160\u2039\u0152\ufffd\ufffd\ufffd\ufffd\u2018\u2019\u201c\u201d\u2022\u2013\u2014\u02dc\u2122\u0161\u203a\u0153\ufffd\ufffd\u0178\xa0\xa1\xa2\xa3\xa4\xa5\xa6\xa7\xa8\xa9\xaa\xab\xac\xad\xae\xaf\xb0\xb1\xb2\xb3\xb4\xb5\xb6\xb7\xb8\xb9\xba\xbb\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t=a(41123),r=a(4139),{ANY:i}=r,o=a(57766),s=a(51939),c=a(94079),l=a(52728),u=a(74581),p=a(10540);e.exports=(e,n,a,d)=>{let m,f,h,g,y;switch(e=new t(e,d),n=new o(n,d),a){case">":m=c,f=u,h=l,g=">",y=">=";break;case"<":m=l,f=p,h=c,g="<",y="<=";break;default:throw new TypeError('Must provide a hilo val of "<" or ">"')}if(s(e,n,d))return!1;for(let t=0;t{e.semver===i&&(e=new r(">=0.0.0")),o=o||e,s=s||e,m(e.semver,o.semver,d)?o=e:h(e.semver,s.semver,d)&&(s=e)}),o.operator===g||o.operator===y)return!1;if((!s.operator||s.operator===g)&&f(e,s.semver))return!1;if(s.operator===y&&h(e,s.semver))return!1}return!0}},70838:(e,n,a)=>{var t,r=a(16526).lodash,i=a(2232).Property,o=a(80449).PropertyList,s=a(82874).EventList,c=a(81408).Request,l=a(30071).RequestAuth,u=a(82618).Response,p="object",d="string",m=function(e){var n;return e&&(n=e.auth)&&l.isValidType(n.type)?n:void 0},f=function(e){var n=e&&e.protocolProfileBehavior;return typeof 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e?this.events.filter(function(n){return n.listen===e}):this.events.all()},authorizeRequestUsing:function(e,n){return this.request||(this.request=new c),this.request.authorizeUsing(e,n)},getPath:function(){const e=[],n=n=>{e.push(n.name)};return n(this),this.forEachParent({withRoot:!0},n),e.reverse()}}),r.assign(t,{_postman_propertyName:"Item",isItem:function(e){return Boolean(e)&&(e instanceof t||r.inSuperChain(e.constructor,"_postman_propertyName",t._postman_propertyName))}}),e.exports={Item:t}},71023:(e,n,a)=>{var t={};e.exports=t,t.color=a(92147),t.department=a(35293),t.product_name=a(10708),t.product_description=a(30729)},71064:(e,n,a)=>{"use strict";var t=a(79612);e.exports=t.getPrototypeOf||null},71122:e=>{var n=e.exports;e.exports.isWhiteSpace=function(e){return" 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"===e||"\t"===e||"\n"===e||"\r"===e},e.exports.isLineTerminator=function(e){return"\n"===e||"\r"===e||"\u2028"===e||"\u2029"===e},e.exports.isLineTerminatorJSON=function(e){return"\n"===e||"\r"===e},e.exports.isIdentifierStart=function(e){return"$"===e||"_"===e||e>="A"&&e<="Z"||e>="a"&&e<="z"||e>="\x80"&&n.NonAsciiIdentifierStart.test(e)},e.exports.isIdentifierPart=function(e){return"$"===e||"_"===e||e>="A"&&e<="Z"||e>="a"&&e<="z"||e>="0"&&e<="9"||e>="\x80"&&n.NonAsciiIdentifierPart.test(e)},e.exports.NonAsciiIdentifierStart=/[\xAA\xB5\xBA\xC0-\xD6\xD8-\xF6\xF8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377\u037A-\u037D\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u048A-\u0527\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0\u08A2-\u08AC\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0977\u0979-\u097F\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0B05-\u0B0C\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C33\u0C35-\u0C39\u0C3D\u0C58\u0C59\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10\u0D12-\u0D3A\u0D3D\u0D4E\u0D60\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F4\u1401-\u166C\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u16EE-\u16F0\u1700-\u170C\u170E-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191C\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19C1-\u19C7\u1A00-\u1A16\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2160-\u2188\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005-\u3007\u3021-\u3029\u3031-\u3035\u3038-\u303C\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FCC\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B\uA640-\uA66E\uA67F-\uA697\uA6A0-\uA6EF\uA717-\uA71F\uA722-\uA788\uA78B-\uA78E\uA790-\uA793\uA7A0-\uA7AA\uA7F8-\uA801\uA803-\uA805\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uAA00-\uAA28\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA80-\uAAAF\uAAB1\uAAB5\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E\uABC0-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF\uFFD2-\uFFD7\uFFDA-\uFFDC]/,e.exports.NonAsciiIdentifierPart=/[\xAA\xB5\xBA\xC0-\xD6\xD8-\xF6\xF8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0300-\u0374\u0376\u0377\u037A-\u037D\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5\u03F7-\u0481\u0483-\u0487\u048A-\u0527\u0531-\u0556\u0559\u0561-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e(n){r.isString(n)&&(n={pattern:n}),e.super_.apply(this,arguments),r.assign(this,{pattern:l}),this.update(n)},i),r.assign(t.prototype,{update(e){r.has(e,"pattern")&&r.isString(e.pattern)&&!r.isEmpty(e.pattern)&&(this.pattern=e.pattern),this._matchPatternObject=this.createMatchPattern()},createMatchPattern(){var e=this.pattern.match(m.patternSplit);if(e)return{protocols:r.uniq(e[1].split("+")),host:e[5],port:e[6]&&e[6].substr(1),path:this.globPatternToRegexp(e[7])}},globPatternToRegexp:e=>(e=(e=(e=e.replace(m.escapeMatcher,m.escapeMatchReplacement)).replace(m.questionmarkMatcher,m.questionmarkReplacment)).replace(m.starMatcher,m.starReplacement),new RegExp("^"+e+"$")),testProtocol(e){var n=this._matchPatternObject;return r.includes(u,e)&&(r.includes(n.protocols,c)||r.includes(n.protocols,e))},getProtocols(){return r.get(this,"_matchPatternObject.protocols")||[]},testHost(e){var n=this._matchPatternObject;return 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t={};e.exports=t,t.male_first_name=a(9985),t.female_first_name=a(23046),t.first_name=a(19355),t.last_name=a(97693),t.binary_gender=a(68784),t.gender=a(91602),t.prefix=a(91687),t.suffix=a(89910),t.title=a(49717),t.name=a(96348)},78876:e=>{e.exports=["Fiesta","Focus","Taurus","Mustang","Explorer","Expedition","F-150","Model T","Ranchero","Volt","Cruze","Malibu","Impala","Camaro","Corvette","Colorado","Silverado","El Camino","CTS","XTS","ATS","Escalade","Alpine","Charger","LeBaron","PT Cruiser","Challenger","Durango","Grand Caravan","Wrangler","Grand Cherokee","Roadster","Model S","Model 3","Camry","Prius","Land 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If the request body is large, sending it to a server when a request has already been rejected based upon inappropriate headers is inefficient. To have a server check if the request could be accepted based on the request\'s headers alone, a client must send Expect: 100-continue as a header in its initial request and check if a 100 Continue status code is received in response before continuing (or receive 417 Expectation Failed and not continue)."},"101":{"name":"Switching Protocols","detail":"This means the requester has asked the server to switch protocols and the server is acknowledging that it will do so."},"102":{"name":"Processing (WebDAV) (RFC 2518)","detail":"As a WebDAV request may contain many sub-requests involving file operations, it may take a long time to complete the request. This code indicates that the server has received and is processing the request, but no response is available yet. This prevents the client from timing out and assuming the request was lost."},"103":{"name":"Checkpoint","detail":"This code is used in the Resumable HTTP Requests Proposal to resume aborted PUT or POST requests."},"122":{"name":"Request-URI too long","detail":"This is a non-standard IE7-only code which means the URI is longer than a maximum of 2083 characters."},"200":{"name":"OK","detail":"Standard response for successful HTTP requests. The actual response will depend on the request method used. In a GET request, the response will contain an entity corresponding to the requested resource. In a POST request the response will contain an entity describing or containing the result of the action."},"201":{"name":"Created","detail":"The request has been fulfilled and resulted in a new resource being created."},"202":{"name":"Accepted","detail":"The request has been accepted for processing, but the processing has not been completed. The request might or might not eventually be acted upon, as it might be disallowed when processing actually takes place."},"203":{"name":"Non-Authoritative Information (since HTTP/1.1)","detail":"The server successfully processed the request, but is returning information that may be from another source."},"204":{"name":"No Content","detail":"The server successfully processed the request, but is not returning any content."},"205":{"name":"Reset Content","detail":"The server successfully processed the request, but is not returning any content. Unlike a 204 response, this response requires that the requester reset the document view."},"206":{"name":"Partial Content","detail":"The server is delivering only part of the resource due to a range header sent by the client. The range header is used by tools like wget to enable resuming of interrupted downloads, or split a download into multiple simultaneous streams"},"207":{"name":"Multi-Status (WebDAV) (RFC 4918)","detail":"The message body that follows is an XML message and can contain a number of separate response codes, depending on how many sub-requests were made."},"208":{"name":"Already Reported (WebDAV) (RFC 5842)","detail":"The members of a DAV binding have already been enumerated in a previous reply to this request, and are not being included again."},"226":{"name":"IM Used (RFC 3229)","detail":"The server has fulfilled a GET request for the resource, and the response is a representation of the result of one or more instance-manipulations applied to the current instance. "},"300":{"name":"Multiple Choices","detail":"Indicates multiple options for the resource that the client may follow. It, for instance, could be used to present different format options for video, list files with different extensions, or word sense disambiguation."},"301":{"name":"Moved Permanently","detail":"This and all future requests should be directed to the given URI."},"302":{"name":"Found","detail":"This is an example of industrial practice contradicting the standard. HTTP/1.0 specification (RFC 1945) required the client to perform a temporary redirect (the original describing phrase was \\"Moved Temporarily\\"), but popular browsers implemented 302 with the functionality of a 303. Therefore, HTTP/1.1 added status codes 303 and 307 to distinguish between the two behaviours. However, some Web applications and frameworks use the 302 status code as if it were the 303."},"303":{"name":"See Other","detail":"The response to the request can be found under another URI using a GET method. When received in response to a POST (or PUT/DELETE), it should be assumed that the server has received the data and the redirect should be issued with a separate GET message."},"304":{"name":"Not Modified","detail":"Indicates the resource has not been modified since last requested. Typically, the HTTP client provides a header like the If-Modified-Since header to provide a time against which to compare. Using this saves bandwidth and reprocessing on both the server and client, as only the header data must be sent and received in comparison to the entirety of the page being re-processed by the server, then sent again using more bandwidth of the server and client."},"305":{"name":"Use Proxy (since HTTP/1.1)","detail":"Many HTTP clients (such as Mozilla and Internet Explorer) do not correctly handle responses with this status code, primarily for security reasons."},"306":{"name":"Switch Proxy","detail":"No longer used. Originally meant \\"Subsequent requests should use the specified proxy.\\""},"307":{"name":"Temporary Redirect (since HTTP/1.1)","detail":"In this occasion, the request should be repeated with another URI, but future requests can still use the original URI. In contrast to 303, the request method should not be changed when reissuing the original request. For instance, a POST request must be repeated using another POST request."},"308":{"name":"Resume Incomplete","detail":"This code is used in the Resumable HTTP Requests Proposal to resume aborted PUT or POST requests."},"400":{"name":"Bad Request","detail":"The request cannot be fulfilled due to bad syntax."},"401":{"name":"Unauthorized","detail":"Similar to 403 Forbidden, but specifically for use when authentication is possible but has failed or not yet been provided. The response must include a WWW-Authenticate header field containing a challenge applicable to the requested resource."},"402":{"name":"Payment Required","detail":"Reserved for future use. The original intention was that this code might be used as part of some form of digital cash or micropayment scheme, but that has not happened, and this code is not usually used. As an example of its use, however, Apple\'s MobileMe service generates a 402 error (\\"httpStatusCode:402\\" in the Mac OS X Console log) if the MobileMe account is delinquent."},"403":{"name":"Forbidden","detail":"The request was a legal request, but the server is refusing to respond to it. Unlike a 401 Unauthorized response, authenticating will make no difference."},"404":{"name":"Not Found","detail":"The requested resource could not be found but may be available again in the future. Subsequent requests by the client are permissible."},"405":{"name":"Method Not Allowed","detail":"A request was made of a resource using a request method not supported by that resource; for example, using GET on a form which requires data to be presented via POST, or using PUT on a read-only resource."},"406":{"name":"Not Acceptable","detail":"The requested resource is only capable of generating content not acceptable according to the Accept headers sent in the request."},"407":{"name":"Proxy Authentication Required","detail":"The client must first authenticate itself with the proxy."},"408":{"name":"Request Timeout","detail":"The server timed out waiting for the request. According to W3 HTTP specifications: \\"The client did not produce a request within the time that the server was prepared to wait. The client MAY repeat the request without modifications at any later time.\\""},"409":{"name":"Conflict","detail":"Indicates that the request could not be processed because of conflict in the request, such as an edit conflict."},"410":{"name":"Gone","detail":"Indicates that the resource requested is no longer available and will not be available again. This should be used when a resource has been intentionally removed and the resource should be purged. Upon receiving a 410 status code, the client should not request the resource again in the future. Clients such as search engines should remove the resource from their indices. Most use cases do not require clients and search engines to purge the resource, and a \\"404 Not Found\\" may be used instead."},"411":{"name":"Length Required","detail":"The request did not specify the length of its content, which is required by the requested resource."},"412":{"name":"Precondition Failed","detail":"The server does not meet one of the preconditions that the requester put on the request."},"413":{"name":"Request Entity Too Large","detail":"The request is larger than the server is willing or able to process."},"414":{"name":"Request-URI Too Long","detail":"The URI provided was too long for the server to process."},"415":{"name":"Unsupported Media Type","detail":"The request entity has a media type which the server or resource does not support. For example, the client uploads an image as image/svg+xml, but the server requires that images use a different format."},"416":{"name":"Requested Range Not Satisfiable","detail":"The client has asked for a portion of the file, but the server cannot supply that portion. For example, if the client asked for a part of the file that lies beyond the end of the file."},"417":{"name":"Expectation Failed","detail":"The server cannot meet the requirements of the Expect request-header field."},"418":{"name":"I\'m a teapot (RFC 2324)","detail":"This code was defined in 1998 as one of the traditional IETF April Fools\' jokes, in RFC 2324, Hyper Text Coffee Pot Control Protocol, and is not expected to be implemented by actual HTTP servers. However, known implementations do exist."},"422":{"name":"Unprocessable Entity (WebDAV) (RFC 4918)","detail":"The request was well-formed but was unable to be followed due to semantic errors."},"423":{"name":"Locked (WebDAV) (RFC 4918)","detail":"The resource that is being accessed is locked."},"424":{"name":"Failed Dependency (WebDAV) (RFC 4918)","detail":"The request failed due to failure of a previous request (e.g. a PROPPATCH)."},"425":{"name":"Unordered Collection (RFC 3648)","detail":"Defined in drafts of \\"WebDAV Advanced Collections Protocol\\",[14] but not present in \\"Web Distributed Authoring and Versioning (WebDAV) Ordered Collections Protocol\\".[15]"},"426":{"name":"Upgrade Required (RFC 2817)","detail":"The client should switch to a different protocol such as TLS/1.0."},"428":{"name":"Precondition Required","detail":"The origin server requires the request to be conditional. Intended to prevent \\"the \'lost update\' problem, where a client GETs a resource\'s state, modifies it, and PUTs it back to the server, when meanwhile a third party has modified the state on the server, leading to a conflict.\\"[17] Proposed in an Internet-Draft."},"429":{"name":"Too Many Requests","detail":"The user has sent too many requests in a given amount of time. Intended for use with rate limiting schemes. Proposed in an Internet-Draft."},"431":{"name":"Request Header Fields Too Large","detail":"The server is unwilling to process the request because either an individual header field, or all the header fields collectively, are too large. Proposed in an Internet-Draft."},"444":{"name":"No Response","detail":"An nginx HTTP server extension. The server returns no information to the client and closes the connection (useful as a deterrent for malware)."},"449":{"name":"Retry With","detail":"A Microsoft extension. 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ee{constructor(){this.type=_.type,this.contextualKeyword=_.contextualKeyword,this.start=_.start,this.end=_.end,this.scopeDepth=_.scopeDepth,this.isType=_.isType,this.identifierRole=null,this.jsxRole=null,this.shadowsGlobal=!1,this.isAsyncOperation=!1,this.contextId=null,this.rhsEndIndex=null,this.isExpression=!1,this.numNullishCoalesceStarts=0,this.numNullishCoalesceEnds=0,this.isOptionalChainStart=!1,this.isOptionalChainEnd=!1,this.subscriptStartIndex=null,this.nullishStartIndex=null}}function ne(){_.tokens.push(new ee),he()}function ae(){_.tokens.push(new ee),_.start=_.pos,function(){for(;;){if(_.pos>=k.length)return void I("Unterminated template");const e=k.charCodeAt(_.pos);if(e===m.graveAccent||e===m.dollarSign&&k.charCodeAt(_.pos+1)===m.leftCurlyBrace)return _.pos===_.start&&ce(d.template)?e===m.dollarSign?(_.pos+=2,void be(d.dollarBraceL)):(++_.pos,void be(d.backQuote)):void be(d.template);e===m.backslash&&_.pos++,_.pos++}}()}function 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n=k.charCodeAt(_.pos+=e);if(_.pos=m.digit0&&e<=m.digit9?Se(!0):e===m.dot&&k.charCodeAt(_.pos+2)===m.dot?(_.pos+=3,be(d.ellipsis)):(++_.pos,be(d.dot))}();case m.leftParenthesis:return++_.pos,void be(d.parenL);case m.rightParenthesis:return++_.pos,void be(d.parenR);case m.semicolon:return++_.pos,void be(d.semi);case m.comma:return++_.pos,void be(d.comma);case m.leftSquareBracket:return++_.pos,void be(d.bracketL);case m.rightSquareBracket:return++_.pos,void be(d.bracketR);case m.leftCurlyBrace:return void(x&&k.charCodeAt(_.pos+1)===m.verticalBar?we(d.braceBarL,2):(++_.pos,be(d.braceL)));case m.rightCurlyBrace:return++_.pos,void be(d.braceR);case m.colon:return void(k.charCodeAt(_.pos+1)===m.colon?we(d.doubleColon,2):(++_.pos,be(d.colon)));case m.questionMark:return void function(){const 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e=this.tokens.currentToken().subscriptStartIndex;if(null!=e&&this.tokens.tokens[e].isOptionalChainStart&&this.tokens.tokenAtRelativeIndex(-1).type!==d._super){const n=this.nameManager.claimFreeName("_");let a;if(a=e>0&&this.tokens.matches1AtIndex(e-1,d._delete)&&this.isLastSubscriptInChain()?`${n} => delete ${n}`:`${n} => ${n}`,this.tokens.tokens[e].isAsyncOperation&&(a=`async ${a}`),this.tokens.matches2(d.questionDot,d.parenL)||this.tokens.matches2(d.questionDot,d.lessThan))this.justSkippedSuper()&&this.tokens.appendCode(".bind(this)"),this.tokens.replaceTokenTrimmingLeftWhitespace(`, 'optionalCall', ${a}`);else if(this.tokens.matches2(d.questionDot,d.bracketL))this.tokens.replaceTokenTrimmingLeftWhitespace(`, 'optionalAccess', ${a}`);else if(this.tokens.matches1(d.questionDot))this.tokens.replaceTokenTrimmingLeftWhitespace(`, 'optionalAccess', ${a}.`);else if(this.tokens.matches1(d.dot))this.tokens.replaceTokenTrimmingLeftWhitespace(`, 'access', ${a}.`);else 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Bobtail","American Curl","American Shorthair","American Wirehair","Balinese","Bengal","Birman","Bombay","British Shorthair","Burmese","Chartreux","Chausie","Cornish Rex","Devon Rex","Donskoy","Egyptian Mau","Exotic Shorthair","Havana","Highlander","Himalayan","Japanese Bobtail","Korat","Kurilian Bobtail","LaPerm","Maine Coon","Manx","Minskin","Munchkin","Nebelung","Norwegian Forest Cat","Ocicat","Ojos Azules","Oriental","Persian","Peterbald","Pixiebob","Ragdoll","Russian Blue","Savannah","Scottish Fold","Selkirk Rex","Serengeti","Siberian","Siamese","Singapura","Snowshoe","Sokoke","Somali","Sphynx","Thai","Tonkinese","Toyger","Turkish Angora","Turkish Van"]},98022:(e,n,a)=>{var t={};e.exports=t,t.abbreviation=a(19664),t.adjective=a(96817),t.noun=a(62084),t.verb=a(85033),t.ingverb=a(99267),t.phrase=a(32157)},98223:e=>{e.exports=function(e){var n=this;n.image=function(a,t,r){return 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e.image.lorempixel.imageUrl(n,a,"fashion",t)},n.people=function(n,a,t){return e.image.lorempixel.imageUrl(n,a,"people",t)},n.nature=function(n,a,t){return e.image.lorempixel.imageUrl(n,a,"nature",t)},n.sports=function(n,a,t){return e.image.lorempixel.imageUrl(n,a,"sports",t)},n.technics=function(n,a,t){return e.image.lorempixel.imageUrl(n,a,"technics",t)},n.transport=function(n,a,t){return e.image.lorempixel.imageUrl(n,a,"transport",t)}}},98355:e=>{e.exports=["#{Address.state} #{creature}"]},98412:e=>{e.exports=["Asexual","Female to male trans man","Female to male transgender man","Female to male transsexual man","F2M","Gender neutral","Hermaphrodite","Intersex man","Intersex person","Intersex woman","Male to female trans woman","Male to female transgender woman","Male to female transsexual woman","Man","M2F","Polygender","T* man","T* woman","Two* person","Two-spirit person","Woman","Agender","Androgyne","Androgynes","Androgynous","Bigender","Cis","Cis Female","Cis Male","Cis Man","Cis 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scratch","source":"@site/docs/distributions/building_distro.mdx","sourceDirName":"distributions","slug":"/distributions/building_distro","permalink":"/v0.3.0/docs/distributions/building_distro","draft":false,"unlisted":false,"tags":[],"version":"current","sidebarPosition":3,"frontMatter":{"title":"Building Custom Distributions","description":"Building a Llama Stack distribution from scratch","sidebar_label":"Build your own Distribution","sidebar_position":3},"sidebar":"tutorialSidebar","previous":{"title":"Available Distributions","permalink":"/v0.3.0/docs/distributions/list_of_distributions"},"next":{"title":"Customizing run.yaml","permalink":"/v0.3.0/docs/distributions/customizing_run_yaml"}}');var s=n(74848),t=n(28453),a=n(4865),l=n(19365);const o={title:"Building Custom Distributions",description:"Building a Llama Stack distribution from scratch",sidebar_label:"Build your own Distribution",sidebar_position:3},d=void 0,c={},u=[{value:"Explore existing distributions",id:"explore-existing-distributions",level:3},{value:"Run your stack server",id:"run-your-stack-server",level:3}];function h(e){const i={a:"a",code:"code",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.p,{children:"This guide walks you through inspecting existing distributions, customising their configuration, and building runnable artefacts for your own deployment."}),"\n",(0,s.jsx)(i.h3,{id:"explore-existing-distributions",children:"Explore existing distributions"}),"\n",(0,s.jsxs)(i.p,{children:["All first-party distributions live under ",(0,s.jsx)(i.code,{children:"llama_stack/distributions/"}),". Each directory contains:"]}),"\n",(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"build.yaml"})," \u2013 the distribution specification (providers, additional dependencies, optional external provider directories)."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"run.yaml"})," \u2013 sample run configuration (when provided)."]}),"\n",(0,s.jsx)(i.li,{children:"Documentation fragments that power this site."}),"\n"]}),"\n",(0,s.jsxs)(i.p,{children:["Browse that folder to understand available providers and copy a distribution to use as a starting point. When creating a new stack, duplicate an existing directory, rename it, and adjust the ",(0,s.jsx)(i.code,{children:"build.yaml"})," file to match your requirements."]}),"\n","\n",(0,s.jsxs)(a.A,{children:[(0,s.jsxs)(l.default,{value:"container",label:"Building a container",children:[(0,s.jsxs)(i.p,{children:["Use the Containerfile at ",(0,s.jsx)(i.code,{children:"containers/Containerfile"}),", which installs ",(0,s.jsx)(i.code,{children:"llama-stack"}),", resolves distribution dependencies via ",(0,s.jsx)(i.code,{children:"llama stack list-deps"}),", and sets the entrypoint to ",(0,s.jsx)(i.code,{children:"llama stack run"}),"."]}),(0,s.jsx)(i.pre,{children:(0,s.jsx)(i.code,{className:"language-bash",children:"docker build . \\\n -f containers/Containerfile \\\n --build-arg DISTRO_NAME=starter \\\n --tag llama-stack:starter\n"})}),(0,s.jsx)(i.p,{children:"Handy build arguments:"}),(0,s.jsxs)(i.ul,{children:["\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"DISTRO_NAME"})," \u2013 distribution directory name (defaults to ",(0,s.jsx)(i.code,{children:"starter"}),")."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"RUN_CONFIG_PATH"})," \u2013 absolute path inside the build context for a run config that should be baked into the image (e.g. ",(0,s.jsx)(i.code,{children:"/workspace/run.yaml"}),")."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"INSTALL_MODE=editable"})," \u2013 install the repository copied into ",(0,s.jsx)(i.code,{children:"/workspace"})," with ",(0,s.jsx)(i.code,{children:"uv pip install -e"}),". Pair it with ",(0,s.jsx)(i.code,{children:"--build-arg LLAMA_STACK_DIR=/workspace"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"LLAMA_STACK_CLIENT_DIR"})," \u2013 optional editable install of the Python client."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"PYPI_VERSION"})," / ",(0,s.jsx)(i.code,{children:"TEST_PYPI_VERSION"})," \u2013 pin specific releases when not using editable installs."]}),"\n",(0,s.jsxs)(i.li,{children:[(0,s.jsx)(i.code,{children:"KEEP_WORKSPACE=1"})," \u2013 retain ",(0,s.jsx)(i.code,{children:"/workspace"})," in the final image if you need to access additional files (such as sample configs or provider bundles)."]}),"\n"]}),(0,s.jsxs)(i.p,{children:["Make sure any custom ",(0,s.jsx)(i.code,{children:"build.yaml"}),", run configs, or provider directories you reference are included in the Docker build context so the Containerfile can read them."]})]}),(0,s.jsxs)(l.default,{value:"external",label:"Building with external providers",children:[(0,s.jsxs)(i.p,{children:["External providers live outside the main repository but can be bundled by pointing ",(0,s.jsx)(i.code,{children:"external_providers_dir"})," to a directory that contains your provider packages."]}),(0,s.jsxs)(i.ol,{children:["\n",(0,s.jsxs)(i.li,{children:["Copy providers into the build context, for example ",(0,s.jsx)(i.code,{children:"cp -R path/to/providers providers.d"}),"."]}),"\n",(0,s.jsxs)(i.li,{children:["Update ",(0,s.jsx)(i.code,{children:"build.yaml"})," with the directory and provider entries."]}),"\n",(0,s.jsxs)(i.li,{children:["Adjust run configs to use the in-container path (usually ",(0,s.jsx)(i.code,{children:"/.llama/providers.d"}),"). 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\ No newline at end of file diff --git a/docs/v0.3.0/assets/js/61109a39.c451625d.js b/docs/v0.3.0/assets/js/61109a39.c451625d.js new file mode 100644 index 00000000..890edc66 --- /dev/null +++ b/docs/v0.3.0/assets/js/61109a39.c451625d.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[9641],{8750:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>d,contentTitle:()=>a,default:()=>h,frontMatter:()=>l,metadata:()=>r,toc:()=>c});const r=JSON.parse('{"id":"distributions/self_hosted_distro/meta-reference-gpu","title":"meta-reference-gpu","description":"The llamastack/distribution-meta-reference-gpu distribution consists of the following provider configurations:","source":"@site/docs/distributions/self_hosted_distro/meta-reference-gpu.md","sourceDirName":"distributions/self_hosted_distro","slug":"/distributions/self_hosted_distro/meta-reference-gpu","permalink":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"orphan":true},"sidebar":"tutorialSidebar","previous":{"title":"Dell-TGI Distribution","permalink":"/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi"},"next":{"title":"nvidia","permalink":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia"}}');var t=i(74848),s=i(28453);const l={orphan:!0},a="Meta Reference GPU Distribution",d={},c=[{value:"Environment Variables",id:"environment-variables",level:3},{value:"Prerequisite: Downloading Models",id:"prerequisite-downloading-models",level:2},{value:"Via venv",id:"via-venv",level:3}];function o(e){const n={a:"a",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",p:"p",pre:"pre",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,s.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(n.header,{children:(0,t.jsx)(n.h1,{id:"meta-reference-gpu-distribution",children:"Meta Reference GPU Distribution"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-{toctree}",children:":maxdepth: 2\n:hidden:\n\nself\n"})}),"\n",(0,t.jsxs)(n.p,{children:["The ",(0,t.jsx)(n.code,{children:"llamastack/distribution-meta-reference-gpu"})," distribution consists of the following provider configurations:"]}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"API"}),(0,t.jsx)(n.th,{children:"Provider(s)"})]})}),(0,t.jsxs)(n.tbody,{children:[(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"agents"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"inline::meta-reference"})})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"datasetio"}),(0,t.jsxs)(n.td,{children:[(0,t.jsx)(n.code,{children:"remote::huggingface"}),", ",(0,t.jsx)(n.code,{children:"inline::localfs"})]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"eval"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"inline::meta-reference"})})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"inference"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"inline::meta-reference"})})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"safety"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"inline::llama-guard"})})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"scoring"}),(0,t.jsxs)(n.td,{children:[(0,t.jsx)(n.code,{children:"inline::basic"}),", ",(0,t.jsx)(n.code,{children:"inline::llm-as-judge"}),", ",(0,t.jsx)(n.code,{children:"inline::braintrust"})]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"tool_runtime"}),(0,t.jsxs)(n.td,{children:[(0,t.jsx)(n.code,{children:"remote::brave-search"}),", ",(0,t.jsx)(n.code,{children:"remote::tavily-search"}),", ",(0,t.jsx)(n.code,{children:"inline::rag-runtime"}),", ",(0,t.jsx)(n.code,{children:"remote::model-context-protocol"})]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"vector_io"}),(0,t.jsxs)(n.td,{children:[(0,t.jsx)(n.code,{children:"inline::faiss"}),", ",(0,t.jsx)(n.code,{children:"remote::chromadb"}),", ",(0,t.jsx)(n.code,{children:"remote::pgvector"})]})]})]})]}),"\n",(0,t.jsx)(n.p,{children:"Note that you need access to nvidia GPUs to run this distribution. This distribution is not compatible with CPU-only machines or machines with AMD GPUs."}),"\n",(0,t.jsx)(n.h3,{id:"environment-variables",children:"Environment Variables"}),"\n",(0,t.jsx)(n.p,{children:"The following environment variables can be configured:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"LLAMA_STACK_PORT"}),": Port for the Llama Stack distribution server (default: ",(0,t.jsx)(n.code,{children:"8321"}),")"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"INFERENCE_MODEL"}),": Inference model loaded into the Meta Reference server (default: ",(0,t.jsx)(n.code,{children:"meta-llama/Llama-3.2-3B-Instruct"}),")"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"INFERENCE_CHECKPOINT_DIR"}),": Directory containing the Meta Reference model checkpoint (default: ",(0,t.jsx)(n.code,{children:"null"}),")"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"SAFETY_MODEL"}),": Name of the safety (Llama-Guard) model to use (default: ",(0,t.jsx)(n.code,{children:"meta-llama/Llama-Guard-3-1B"}),")"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.code,{children:"SAFETY_CHECKPOINT_DIR"}),": Directory containing the Llama-Guard model checkpoint (default: ",(0,t.jsx)(n.code,{children:"null"}),")"]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"prerequisite-downloading-models",children:"Prerequisite: Downloading Models"}),"\n",(0,t.jsxs)(n.p,{children:["Please check that you have llama model checkpoints downloaded in ",(0,t.jsx)(n.code,{children:"~/.llama"})," before proceeding. See ",(0,t.jsx)(n.a,{href:"/v0.3.0/docs/references/llama_cli_reference/download_models",children:"installation guide"})," here to download the models using the Hugging Face CLI."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{children:"\n## Running the Distribution\n\nYou can do this via venv or Docker which has a pre-built image.\n\n### Via Docker\n\nThis method allows you to get started quickly without having to build the distribution code.\n\n```bash\nLLAMA_STACK_PORT=8321\ndocker run \\\n -it \\\n --pull always \\\n --gpu all \\\n -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\\n -v ~/.llama:/root/.llama \\\n -e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \\\n llamastack/distribution-meta-reference-gpu \\\n --port $LLAMA_STACK_PORT\n"})}),"\n",(0,t.jsx)(n.p,{children:"If you are using Llama Stack Safety / Shield APIs, use:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"docker run \\\n -it \\\n --pull always \\\n --gpu all \\\n -p 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 2:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 3:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 4:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 5:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text='END of knowledge_search tool results.\\n', type='text')]\n\ninference> Based on the search results, it seems that doing great work means doing something important so well that you expand people's ideas of what's possible. However, there is no clear threshold for importance, and it can be difficult to judge at the time.\n\nTo further clarify, I would suggest that doing great work involves:\n\n* Completing tasks with high quality and attention to detail\n* Expanding on existing knowledge or ideas\n* Making a positive impact on others through your work\n* Striving for excellence and continuous improvement\n\nUltimately, great work is about making a meaningful contribution and leaving a lasting impression.\n"})}),"\n",(0,s.jsx)(t.p,{children:"Congratulations! You've successfully built your first RAG application using Llama Stack! \ud83c\udf89\ud83e\udd73"}),"\n",(0,s.jsx)(t.admonition,{title:"HuggingFace access",type:"tip",children:(0,s.jsxs)(t.p,{children:["If you are getting a ",(0,s.jsx)(t.strong,{children:"401 Client Error"})," from HuggingFace for the ",(0,s.jsx)(t.strong,{children:"all-MiniLM-L6-v2"})," model, try setting ",(0,s.jsx)(t.strong,{children:"HF_TOKEN"})," to a valid HuggingFace token in your environment"]})}),"\n",(0,s.jsx)(t.h3,{id:"next-steps",children:"Next Steps"}),"\n",(0,s.jsx)(t.p,{children:"Now you're ready to dive deeper into Llama Stack!"}),"\n",(0,s.jsxs)(t.ul,{children:["\n",(0,s.jsxs)(t.li,{children:["Explore the ",(0,s.jsx)(t.a,{href:"./detailed_tutorial",children:"Detailed Tutorial"}),"."]}),"\n",(0,s.jsxs)(t.li,{children:["Try the ",(0,s.jsx)(t.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb",children:"Getting Started 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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For example, at the time of this writing, ",(0,s.jsx)(i.code,{children:"post_training"})," belongs here, as well as any OpenAI-compatible API whose surface does not exactly match the upstream OpenAI API it mimics."]}),"\n",(0,s.jsx)(i.p,{children:"This migration is crucial as we get Llama Stack in the hands of users who intend to productize various APIs. A clear view of what is stable and what is actively being developed will enable users to pick and choose various APIs to build their products on."}),"\n",(0,s.jsxs)(i.p,{children:["This migration will be a breaking change for any API moving out of ",(0,s.jsx)(i.code,{children:"/v1"}),". 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We will use the following benchmark:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.a,{href:"https://arxiv.org/abs/2311.16502",children:"MMMU"})," (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.a,{href:"https://openai.com/index/introducing-simpleqa/",children:"SimpleQA"}),": Benchmark designed to access models to answer short, fact-seeking questions."]}),"\n"]}),"\n",(0,s.jsx)(n.h4,{id:"11-running-mmmu",children:"1.1 Running MMMU"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["We will use a pre-processed MMMU dataset from ",(0,s.jsx)(n.a,{href:"https://huggingface.co/datasets/llamastack/mmmu",children:"llamastack/mmmu"}),". The preprocessing code is shown in this ",(0,s.jsx)(n.a,{href:"https://gist.github.com/yanxi0830/118e9c560227d27132a7fd10e2c92840",children:"GitHub Gist"}),". The dataset is obtained by transforming the original ",(0,s.jsx)(n.a,{href:"https://huggingface.co/datasets/MMMU/MMMU",children:"MMMU/MMMU"})," dataset into correct format by ",(0,s.jsx)(n.code,{children:"inference/chat-completion"})," API."]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'import datasets\n\nds = datasets.load_dataset(path="llamastack/mmmu", name="Agriculture", split="dev")\nds = ds.select_columns(["chat_completion_input", "input_query", "expected_answer"])\neval_rows = ds.to_pandas().to_dict(orient="records")\n'})}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["Next, we will run evaluation on an model candidate, we will need to:","\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsx)(n.li,{children:"Define a system prompt"}),"\n",(0,s.jsx)(n.li,{children:"Define an EvalCandidate"}),"\n",(0,s.jsx)(n.li,{children:"Run evaluate on the dataset"}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'from rich.pretty import pprint\nfrom tqdm import tqdm\n\nSYSTEM_PROMPT_TEMPLATE = """\nYou are an expert in {subject} whose job is to answer questions from the user using images.\n\nFirst, reason about the correct answer.\n\nThen write the answer in the following format where X is exactly one of A,B,C,D:\n\nAnswer: X\n\nMake sure X is one of A,B,C,D.\n\nIf you are uncertain of the correct answer, guess the most likely one.\n"""\n\nsystem_message = {\n "role": "system",\n "content": SYSTEM_PROMPT_TEMPLATE.format(subject=subset),\n}\n\n# register the evaluation benchmark task with the dataset and scoring function\nclient.benchmarks.register(\n benchmark_id="meta-reference::mmmu",\n dataset_id=f"mmmu-{subset}-{split}",\n scoring_functions=["basic::regex_parser_multiple_choice_answer"],\n)\n\nresponse = client.eval.evaluate_rows(\n benchmark_id="meta-reference::mmmu",\n input_rows=eval_rows,\n scoring_functions=["basic::regex_parser_multiple_choice_answer"],\n benchmark_config={\n "eval_candidate": {\n "type": "model",\n "model": "meta-llama/Llama-3.2-90B-Vision-Instruct",\n "sampling_params": {\n "strategy": {\n "type": "top_p",\n "temperature": 1.0,\n "top_p": 0.95,\n },\n "max_tokens": 4096,\n "repeat_penalty": 1.0,\n },\n "system_message": system_message,\n },\n },\n)\npprint(response)\n'})}),"\n",(0,s.jsx)(n.h4,{id:"12-running-simpleqa",children:"1.2. Running SimpleQA"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["We will use a pre-processed SimpleQA dataset from ",(0,s.jsx)(n.a,{href:"https://huggingface.co/datasets/llamastack/evals/viewer/evals__simpleqa",children:"llamastack/evals"})," which is obtained by transforming the input query into correct format accepted by ",(0,s.jsx)(n.code,{children:"inference/chat-completion"})," API."]}),"\n",(0,s.jsxs)(n.li,{children:["Since we will be using this same dataset in our next example for Agentic evaluation, we will register it using the ",(0,s.jsx)(n.code,{children:"/datasets"})," API, and interact with it through ",(0,s.jsx)(n.code,{children:"/datasetio"})," API."]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'simpleqa_dataset_id = "huggingface::simpleqa"\n\n_ = client.datasets.register(\n purpose="eval/messages-answer",\n source={\n "type": "uri",\n "uri": "huggingface://datasets/llamastack/simpleqa?split=train",\n },\n dataset_id=simpleqa_dataset_id,\n)\n\neval_rows = client.datasets.iterrows(\n dataset_id=simpleqa_dataset_id,\n limit=5,\n)\n'})}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'client.benchmarks.register(\n benchmark_id="meta-reference::simpleqa",\n dataset_id=simpleqa_dataset_id,\n scoring_functions=["llm-as-judge::405b-simpleqa"],\n)\n\nresponse = client.eval.evaluate_rows(\n benchmark_id="meta-reference::simpleqa",\n input_rows=eval_rows.data,\n scoring_functions=["llm-as-judge::405b-simpleqa"],\n benchmark_config={\n "eval_candidate": {\n "type": "model",\n "model": "meta-llama/Llama-3.2-90B-Vision-Instruct",\n "sampling_params": {\n "strategy": {\n "type": "greedy",\n },\n "max_tokens": 4096,\n "repeat_penalty": 1.0,\n },\n },\n },\n)\npprint(response)\n'})}),"\n",(0,s.jsx)(n.h3,{id:"2-agentic-evaluation",children:"2. Agentic Evaluation"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["In this example, we will demonstrate how to evaluate a agent candidate served by Llama Stack via ",(0,s.jsx)(n.code,{children:"/agent"})," API."]}),"\n",(0,s.jsx)(n.li,{children:"We will continue to use the SimpleQA dataset we used in previous example."}),"\n",(0,s.jsxs)(n.li,{children:["Instead of running evaluation on model, we will run the evaluation on a Search Agent with access to search tool. We will define our agent evaluation candidate through ",(0,s.jsx)(n.code,{children:"AgentConfig"}),"."]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'agent_config = {\n "model": "meta-llama/Llama-3.3-70B-Instruct",\n "instructions": "You are a helpful assistant that have access to tool to search the web. ",\n "sampling_params": {\n "strategy": {\n "type": "top_p",\n "temperature": 0.5,\n "top_p": 0.9,\n }\n },\n "toolgroups": [\n "builtin::websearch",\n ],\n "tool_choice": "auto",\n "tool_prompt_format": "json",\n "input_shields": [],\n "output_shields": [],\n "enable_session_persistence": False,\n}\n\nresponse = client.eval.evaluate_rows(\n benchmark_id="meta-reference::simpleqa",\n input_rows=eval_rows.data,\n scoring_functions=["llm-as-judge::405b-simpleqa"],\n benchmark_config={\n "eval_candidate": {\n "type": "agent",\n "config": agent_config,\n },\n },\n)\npprint(response)\n'})}),"\n",(0,s.jsx)(n.h3,{id:"3-agentic-application-dataset-scoring",children:"3. Agentic Application Dataset Scoring"}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.a,{href:"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb",children:(0,s.jsx)(n.img,{src:"https://colab.research.google.com/assets/colab-badge.svg",alt:"Open In Colab"})})}),"\n",(0,s.jsxs)(n.p,{children:["Llama Stack offers a library of scoring functions and the ",(0,s.jsx)(n.code,{children:"/scoring"})," API, allowing you to run evaluations on your pre-annotated AI application datasets."]}),"\n",(0,s.jsxs)(n.p,{children:["In this example, we will work with an example RAG dataset you have built previously, label with an annotation, and use LLM-As-Judge with custom judge prompt for scoring. Please checkout our ",(0,s.jsx)(n.a,{href:"../building_applications/playground",children:"Llama Stack Playground"})," for an interactive interface to upload datasets and run scorings."]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'judge_model_id = "meta-llama/Llama-3.1-405B-Instruct-FP8"\n\nJUDGE_PROMPT = """\nGiven a QUESTION and GENERATED_RESPONSE and EXPECTED_RESPONSE.\n\nCompare the factual content of the GENERATED_RESPONSE with the EXPECTED_RESPONSE. Ignore any differences in style, grammar, or punctuation.\n The GENERATED_RESPONSE may either be a subset or superset of the EXPECTED_RESPONSE, or it may conflict with it. Determine which case applies. Answer the question by selecting one of the following options:\n (A) The GENERATED_RESPONSE is a subset of the EXPECTED_RESPONSE and is fully consistent with it.\n (B) The GENERATED_RESPONSE is a superset of the EXPECTED_RESPONSE and is fully consistent with it.\n (C) The GENERATED_RESPONSE contains all the same details as the EXPECTED_RESPONSE.\n (D) There is a disagreement between the GENERATED_RESPONSE and the EXPECTED_RESPONSE.\n (E) The answers differ, but these differences don\'t matter from the perspective of factuality.\n\nGive your answer in the format "Answer: One of ABCDE, Explanation: ".\n\nYour actual task:\n\nQUESTION: {input_query}\nGENERATED_RESPONSE: {generated_answer}\nEXPECTED_RESPONSE: {expected_answer}\n"""\n\ninput_query = (\n "What are the top 5 topics that were explained? Only list succinct bullet points."\n)\ngenerated_answer = """\nHere are the top 5 topics that were explained in the documentation for Torchtune:\n\n* What is LoRA and how does it work?\n* Fine-tuning with LoRA: memory savings and parameter-efficient finetuning\n* Running a LoRA finetune with Torchtune: overview and recipe\n* Experimenting with different LoRA configurations: rank, alpha, and attention modules\n* LoRA finetuning\n"""\nexpected_answer = """LoRA"""\n\ndataset_rows = [\n {\n "input_query": input_query,\n "generated_answer": generated_answer,\n "expected_answer": expected_answer,\n },\n]\n\nscoring_params = {\n "llm-as-judge::base": {\n "judge_model": judge_model_id,\n "prompt_template": JUDGE_PROMPT,\n "type": "llm_as_judge",\n "judge_score_regexes": ["Answer: (A|B|C|D|E)"],\n },\n "basic::subset_of": None,\n "braintrust::factuality": None,\n}\n\nresponse = client.scoring.score(\n input_rows=dataset_rows, scoring_functions=scoring_params\n)\n'})}),"\n",(0,s.jsx)(n.h2,{id:"running-evaluations-via-cli",children:"Running Evaluations via CLI"}),"\n",(0,s.jsx)(n.p,{children:"The following examples give the quick steps to start running evaluations using the llama-stack-client CLI."}),"\n",(0,s.jsx)(n.h3,{id:"benchmark-evaluation-cli",children:"Benchmark Evaluation CLI"}),"\n",(0,s.jsx)(n.p,{children:"There are 3 necessary input for running a benchmark eval"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"list of benchmark_ids"}),": The list of benchmark ids to run evaluation on"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"model-id"}),": The model id to evaluate on"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"output_dir"}),": Path to store the evaluate results"]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama-stack-client eval run-benchmark ... \\\n--model_id \\\n--output_dir \\\n"})}),"\n",(0,s.jsx)(n.p,{children:"You can run"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama-stack-client eval run-benchmark help\n"})}),"\n",(0,s.jsx)(n.p,{children:"to see the description of all the flags to run benchmark eval"}),"\n",(0,s.jsx)(n.p,{children:"In the output log, you can find the path to the file that has your evaluation results. Open that file and you can see your aggregate evaluation results over there."}),"\n",(0,s.jsx)(n.h3,{id:"application-evaluation-cli",children:"Application Evaluation CLI"}),"\n",(0,s.jsx)(n.p,{children:"Usage: For running application evals, you will already have available datasets in hand from your application. You will need to specify:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"scoring-fn-id"}),": List of ScoringFunction identifiers you wish to use to run on your application."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"Dataset"})," used for evaluation:","\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["(1) ",(0,s.jsx)(n.code,{children:"--dataset-path"}),": path to local file system containing datasets to run evaluation on"]}),"\n",(0,s.jsxs)(n.li,{children:["(2) ",(0,s.jsx)(n.code,{children:"--dataset-id"}),": pre-registered dataset in Llama Stack"]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["(Optional) ",(0,s.jsx)(n.code,{children:"--scoring-params-config"}),": optionally parameterize scoring functions with custom params (e.g. ",(0,s.jsx)(n.code,{children:"judge_prompt"}),", ",(0,s.jsx)(n.code,{children:"judge_model"}),", ",(0,s.jsx)(n.code,{children:"parsing_regexes"}),")."]}),"\n"]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama-stack-client eval run_scoring ... \n--dataset-path \\\n--output-dir ./\n"})}),"\n",(0,s.jsx)(n.h3,{id:"defining-benchmarkconfig",children:"Defining BenchmarkConfig"}),"\n",(0,s.jsxs)(n.p,{children:["The ",(0,s.jsx)(n.code,{children:"BenchmarkConfig"})," are user specified config to define:"]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"EvalCandidate"})," to run generation on:","\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"ModelCandidate"}),": The model will be used for generation through LlamaStack /inference API."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"AgentCandidate"}),": The agentic system specified by AgentConfig will be used for generation through LlamaStack /agents API."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["Optionally scoring function params to allow customization of scoring function behaviour. This is useful to parameterize generic scoring functions such as LLMAsJudge with custom ",(0,s.jsx)(n.code,{children:"judge_model"})," / ",(0,s.jsx)(n.code,{children:"judge_prompt"}),"."]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"Example BenchmarkConfig"})}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-json",children:'{\n "eval_candidate": {\n "type": "model",\n "model": "Llama3.1-405B-Instruct",\n "sampling_params": {\n "strategy": {\n "type": "greedy",\n },\n "max_tokens": 0,\n "repetition_penalty": 1.0\n }\n },\n "scoring_params": {\n "llm-as-judge::llm_as_judge_base": {\n "type": "llm_as_judge",\n "judge_model": "meta-llama/Llama-3.1-8B-Instruct",\n "prompt_template": "Your job is to look at a question, a gold target ........",\n "judge_score_regexes": [\n "(A|B|C)"\n ]\n }\n }\n}\n'})}),"\n",(0,s.jsx)(n.h2,{id:"open-benchmark-contributing-guide",children:"Open-benchmark Contributing Guide"}),"\n",(0,s.jsx)(n.h3,{id:"create-the-new-dataset-for-your-new-benchmark",children:"Create the new dataset for your new benchmark"}),"\n",(0,s.jsx)(n.p,{children:"An eval open-benchmark essentially contains 2 parts:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"raw data"}),": The raw dataset associated with the benchmark. You typically need to search the original paper that introduces the benchmark and find the canonical dataset (usually hosted on huggingface)"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"prompt template"}),": How to ask the candidate model to generate the answer (prompt template plays a critical role to the evaluation results). Typically, you can find the reference prompt template associated with the benchmark in benchmarks author's repo (",(0,s.jsx)(n.a,{href:"https://github.com/idavidrein/gpqa/blob/main/prompts/chain_of_thought.txt",children:"example"}),") or some other popular open source repos (",(0,s.jsx)(n.a,{href:"https://github.com/openai/simple-evals/blob/0a6e8f62e52bc5ae915f752466be3af596caf392/common.py#L14",children:"example"}),")"]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["To create new open-benchmark in llama stack, you need to combine the prompt template and the raw data into the ",(0,s.jsx)(n.code,{children:"chat_completion_input"})," column in the evaluation dataset."]}),"\n",(0,s.jsx)(n.p,{children:"Llama stack enforces the evaluate dataset schema to contain at least 3 columns:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"chat_completion_input"}),": The actual input to the model to run the generation for eval"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"input_query"}),": The raw input from the raw dataset without the prompt template"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"expected_answer"}),": The ground truth for scoring functions to calculate the score from."]}),"\n"]}),"\n",(0,s.jsxs)(n.p,{children:["You need to write a script ",(0,s.jsx)(n.a,{href:"https://gist.github.com/yanxi0830/118e9c560227d27132a7fd10e2c92840",children:"example convert script"})," to convert the benchmark raw dataset to llama stack format eval dataset and update the dataset to huggingface ",(0,s.jsx)(n.a,{href:"https://huggingface.co/datasets/llamastack/mmmu",children:"example benchmark dataset"})]}),"\n",(0,s.jsx)(n.h3,{id:"find-scoring-function-for-your-new-benchmark",children:"Find scoring function for your new benchmark"}),"\n",(0,s.jsx)(n.p,{children:"The purpose of scoring function is to calculate the score for each example based on candidate model generation result and expected_answer. It also aggregates the scores from all the examples and generate the final evaluate results."}),"\n",(0,s.jsxs)(n.p,{children:["Firstly, you can see if the existing ",(0,s.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/inline/scoring",children:"llama stack scoring functions"})," can fulfill your need. If not, you need to write a new scoring function based on what benchmark author / other open source repo describe."]}),"\n",(0,s.jsx)(n.h3,{id:"add-new-benchmark-into-template",children:"Add new benchmark into template"}),"\n",(0,s.jsxs)(n.p,{children:["Firstly, you need to add the evaluation dataset associated with your benchmark under ",(0,s.jsx)(n.code,{children:"datasets"})," resource in the ",(0,s.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/distributions/open-benchmark/run.yaml",children:"open-benchmark"})]}),"\n",(0,s.jsxs)(n.p,{children:["Secondly, you need to add the new benchmark you just created under the ",(0,s.jsx)(n.code,{children:"benchmarks"})," resource in the same template. To add the new benchmark, you need to have"]}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"benchmark_id"}),": identifier of the benchmark"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"dataset_id"}),": identifier of the dataset associated with your benchmark"]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.code,{children:"scoring_functions"}),": scoring function to calculate the score based on generation results and expected_answer"]}),"\n"]}),"\n",(0,s.jsx)(n.h3,{id:"test-the-new-benchmark",children:"Test the new benchmark"}),"\n",(0,s.jsx)(n.p,{children:"Spin up llama stack server with 'open-benchmark' templates"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama stack run llama_stack/distributions/open-benchmark/run.yaml\n"})}),"\n",(0,s.jsx)(n.p,{children:"Run eval benchmark CLI with your new benchmark 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We would also love any other feedback on any use-cases you try that do not work to help prioritize the pieces left to implement.\nPlease open new issues in the ",(0,i.jsx)(s.a,{href:"https://github.com/meta-llama/llama-stack",children:"meta-llama/llama-stack"})," GitHub repository with details of anything that does not work that does not already have an open issue."]}),"\n",(0,i.jsx)(s.h3,{id:"instructions",children:"Instructions"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partial Implementation + Work in Progress"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3566",children:"#3566"})]}),"\n",(0,i.jsx)(s.p,{children:"In Llama Stack, the instructions parameter is already implemented for creating a response, but it is not yet included in the output response object."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"streaming",children:"Streaming"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partial Implementation"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/2364",children:"#2364"})]}),"\n",(0,i.jsx)(s.p,{children:"Streaming functionality for the Responses API is partially implemented and does work to some extent, but some streaming response objects that would be needed for full compatibility are still missing."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"prompt-templates",children:"Prompt Templates"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partial Implementation"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3321",children:"#3321"})]}),"\n",(0,i.jsxs)(s.p,{children:["OpenAI's platform supports ",(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/guides/text?api-mode=responses#reusable-prompts",children:"templated prompts using a structured language"}),". These templates can be stored server-side for organizational sharing. This feature is under development for Llama Stack."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"web-search-tool-compatibility",children:"Web-search tool compatibility"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partial Implementation"]}),"\n",(0,i.jsxs)(s.p,{children:["Both OpenAI and Llama Stack support a web-search built-in tool. The ",(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/api-reference/responses/create",children:"OpenAI documentation"})," for web search tool in a Responses tool list says:"]}),"\n",(0,i.jsxs)(s.blockquote,{children:["\n",(0,i.jsxs)(s.p,{children:["The type of the web search tool. One of ",(0,i.jsx)(s.code,{children:"web_search"})," or ",(0,i.jsx)(s.code,{children:"web_search_2025_08_26"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(s.p,{children:["In contrast, the ",(0,i.jsx)(s.a,{href:"https://llamastack.github.io/docs/api/create-a-new-open-ai-response",children:"Llama Stack documentation"})," says that the allowed values for ",(0,i.jsx)(s.code,{children:"type"})," for web search are ",(0,i.jsx)(s.code,{children:"MOD1"}),", ",(0,i.jsx)(s.code,{children:"MOD2"})," and ",(0,i.jsx)(s.code,{children:"MOD3"}),".\nIs that correct? If so, what are the meanings of each of them? It might make sense for the allowed values for OpenAI map to some values for Llama Stack so that code written to the OpenAI specification\nalso work with Llama Stack."]}),"\n",(0,i.jsxs)(s.p,{children:["The OpenAI web search tool also has fields for ",(0,i.jsx)(s.code,{children:"filters"})," and ",(0,i.jsx)(s.code,{children:"user_location"})," which are not documented as options for Llama Stack. If feasible, it would be good to support these too."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"other-built-in-tools",children:"Other built-in Tools"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partial Implementation"]}),"\n",(0,i.jsx)(s.p,{children:"OpenAI's Responses API includes an ecosystem of built-in tools (e.g., code interpreter) that lower the barrier to entry for agentic workflows. These tools are typically aligned with specific model training."}),"\n",(0,i.jsx)(s.p,{children:(0,i.jsx)(s.strong,{children:"Current Status in Llama Stack:"})}),"\n",(0,i.jsxs)(s.ul,{children:["\n",(0,i.jsx)(s.li,{children:"Some built-in tools exist (file search, web search)"}),"\n",(0,i.jsx)(s.li,{children:"Missing tools include code interpreter, computer use, and image generation"}),"\n",(0,i.jsxs)(s.li,{children:["Some built-in tools may require additional APIs (e.g., ",(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/api-reference/containers",children:"containers API"})," for code interpreter)"]}),"\n"]}),"\n",(0,i.jsx)(s.p,{children:"It's unclear whether there is demand for additional built-in tools in Llama Stack. No upstream issues have been filed for adding more built-in tools."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"response-branching",children:"Response Branching"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Working"]}),"\n",(0,i.jsxs)(s.p,{children:["Response branching, as discussed in the ",(0,i.jsx)(s.a,{href:"https://llamastack.github.io/docs/building_applications/responses_vs_agents",children:"Agents vs OpenAI Responses API documentation"}),", is not currently functional."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"include",children:"Include"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:["The ",(0,i.jsx)(s.code,{children:"include"})," parameter allows you to provide a list of values that indicate additional information for the system to include in the model response. The ",(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/api-reference/responses/create",children:"OpenAI API"})," specifies the following allowed values for this parameter."]}),"\n",(0,i.jsxs)(s.ul,{children:["\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"web_search_call.action.sources"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"code_interpreter_call.outputs"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"computer_call_output.output.image_url"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"file_search_call.results"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"message.input_image.image_url"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"message.output_text.logprobs"})}),"\n",(0,i.jsx)(s.li,{children:(0,i.jsx)(s.code,{children:"reasoning.encrypted_content"})}),"\n"]}),"\n",(0,i.jsxs)(s.p,{children:['Some of these are not relevant to Llama Stack in its current form. For example, code interpreter is not implemented (see "Built-in tools" below), so ',(0,i.jsx)(s.code,{children:"code_interpreter_call.outputs"})," would not be a useful directive to Llama Stack."]}),"\n",(0,i.jsxs)(s.p,{children:["However, others might be useful. For example, ",(0,i.jsx)(s.code,{children:"message.output_text.logprobs"})," can be useful for assessing how confident a model is in each token of its output."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"tool-choice",children:"Tool Choice"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3548",children:"#3548"})]}),"\n",(0,i.jsxs)(s.p,{children:["In OpenAI's API, the ",(0,i.jsx)(s.code,{children:"tool_choice"})," parameter allows you to set restrictions or requirements for which tools should be used when generating a response. This feature is not implemented in Llama Stack."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"safety-identification-and-tracking",children:"Safety Identification and Tracking"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsx)(s.p,{children:"OpenAI's platform allows users to track agentic users using a safety identifier passed with each response. When requests violate moderation or safety rules, account holders are alerted and automated actions can be taken. This capability is not currently available in Llama Stack."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"connectors",children:"Connectors"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:["Connectors are MCP servers maintained and managed by the Responses API provider. OpenAI has documented their connectors at ",(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/guides/tools-connectors-mcp",children:"https://platform.openai.com/docs/guides/tools-connectors-mcp"}),"."]}),"\n",(0,i.jsx)(s.p,{children:(0,i.jsx)(s.strong,{children:"Open Questions:"})}),"\n",(0,i.jsxs)(s.ul,{children:["\n",(0,i.jsx)(s.li,{children:"Should Llama Stack include built-in support for some, all, or none of OpenAI's connectors?"}),"\n",(0,i.jsxs)(s.li,{children:["Should there be a mechanism for administrators to add custom connectors via ",(0,i.jsx)(s.code,{children:"run.yaml"})," or an API?"]}),"\n"]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"reasoning",children:"Reasoning"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Partially Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:["The ",(0,i.jsx)(s.code,{children:"reasoning"})," object in the output of Responses works for inference providers such as vLLM that output reasoning traces in chat completions requests. It does not work for other providers such as OpenAI's hosted service. See ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3551",children:"#3551"})," for more details."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"service-tier",children:"Service Tier"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3550",children:"#3550"})]}),"\n",(0,i.jsxs)(s.p,{children:["Responses has a field ",(0,i.jsx)(s.code,{children:"service_tier"})," that can be used to prioritize access to inference resources. Not all inference providers have such a concept, but Llama Stack pass through this value for those providers that do. Currently it does not."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"top-logprobs",children:"Top Logprobs"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3552",children:"#3552"})]}),"\n",(0,i.jsxs)(s.p,{children:["The ",(0,i.jsx)(s.code,{children:"top_logprobs"})," parameter from OpenAI's Responses API extends the functionality obtained by including ",(0,i.jsx)(s.code,{children:"message.output_text.logprobs"})," in the ",(0,i.jsx)(s.code,{children:"include"})," parameter list (as discussed in the Include section above).\nIt enables users to also get logprobs for alternative tokens."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"max-tool-calls",children:"Max Tool Calls"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3563",children:"#3563"})]}),"\n",(0,i.jsxs)(s.p,{children:["The Responses API can accept a ",(0,i.jsx)(s.code,{children:"max_tool_calls"})," parameter that limits the number of tool calls allowed to be executed for a given response. This feature needs full implementation and documentation."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"max-output-tokens",children:"Max Output Tokens"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3562",children:"#3562"})]}),"\n",(0,i.jsxs)(s.p,{children:["The ",(0,i.jsx)(s.code,{children:"max_output_tokens"})," field limits how many tokens the model is allowed to generate (for both reasoning and output combined). It is not implemented in Llama Stack."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"incomplete-details",children:"Incomplete Details"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3567",children:"#3567"})]}),"\n",(0,i.jsx)(s.p,{children:"The return object from a call to Responses includes a field for indicating why a response is incomplete if it is. For example, if the model stops generating because it has reached the specified max output tokens (see above), this field should be set to \"IncompleteDetails(reason='max_output_tokens')\". This is not implemented in Llama Stack."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"metadata",children:"Metadata"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3564",children:"#3564"})]}),"\n",(0,i.jsx)(s.p,{children:"Metadata allows you to attach additional information to a response for your own reference and tracking. It is not implemented in Llama Stack."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"background",children:"Background"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Not Implemented"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3568",children:"#3568"})]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.a,{href:"https://platform.openai.com/docs/guides/background",children:"Background mode"})," in OpenAI Responses lets you start a response generation job and then check back in on it later. This is useful if you might lose a connection during a generation and want to reconnect later and get the response back (for example if the client is running in a mobile app). It is not implemented in Llama Stack."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"global-guardrails",children:"Global Guardrails"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Feature Request"]}),"\n",(0,i.jsxs)(s.p,{children:["When calling the OpenAI Responses API, model outputs go through safety models configured by OpenAI administrators. Perhaps Llama Stack should provide a mechanism to configure safety models (or non-model logic) for all Responses requests, either through ",(0,i.jsx)(s.code,{children:"run.yaml"})," or an administrative API."]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"user-controlled-guardrails",children:"User-Controlled Guardrails"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Feature Request"]}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Issue:"})," ",(0,i.jsx)(s.a,{href:"https://github.com/llamastack/llama-stack/issues/3325",children:"#3325"})]}),"\n",(0,i.jsx)(s.p,{children:"OpenAI has not released a way for users to configure their own guardrails. However, Llama Stack users may want this capability to complement or replace global guardrails. This could be implemented as a non-breaking, additive difference from the OpenAI API."}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"mcp-elicitations",children:"MCP Elicitations"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Unknown"]}),"\n",(0,i.jsxs)(s.p,{children:["Elicitations allow MCP servers to request additional information from users through the client during interactions (e.g., a tool requesting a username before proceeding).\nSee the ",(0,i.jsx)(s.a,{href:"https://modelcontextprotocol.io/specification/draft/client/elicitation",children:"MCP specification"})," for details."]}),"\n",(0,i.jsx)(s.p,{children:(0,i.jsx)(s.strong,{children:"Open Questions:"})}),"\n",(0,i.jsxs)(s.ul,{children:["\n",(0,i.jsx)(s.li,{children:"Does this work in OpenAI's Responses API reference implementation?"}),"\n",(0,i.jsx)(s.li,{children:"If not, is there a reasonable way to make that work within the API as is? Or would the API need to change?"}),"\n",(0,i.jsx)(s.li,{children:"Does this work in Llama Stack?"}),"\n"]}),"\n",(0,i.jsx)(s.hr,{}),"\n",(0,i.jsx)(s.h3,{id:"mcp-sampling",children:"MCP Sampling"}),"\n",(0,i.jsxs)(s.p,{children:[(0,i.jsx)(s.strong,{children:"Status:"})," Unknown"]}),"\n",(0,i.jsxs)(s.p,{children:["Sampling allows MCP tools to query the generative AI model. See the ",(0,i.jsx)(s.a,{href:"https://modelcontextprotocol.io/specification/draft/client/sampling",children:"MCP specification"})," for details."]}),"\n",(0,i.jsx)(s.p,{children:(0,i.jsx)(s.strong,{children:"Open Questions:"})}),"\n",(0,i.jsxs)(s.ul,{children:["\n",(0,i.jsx)(s.li,{children:"Does this work in OpenAI's Responses API reference implementation?"}),"\n",(0,i.jsx)(s.li,{children:"If not, is there a reasonable way to make that work within the API as is? 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",sidebar_class_name:"post 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the document."},mime_type:{type:"string",description:"The MIME type of the document."}},additionalProperties:!1,required:["content","mime_type"],title:"Document",description:"A document to be used by an agent."},description:"(Optional) List of documents to create the turn with."},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"},description:"(Optional) List of toolgroups to create the turn with, will be used in addition to the agent's config toolgroups for the request."},tool_config:{type:"object",properties:{tool_choice:{oneOf:[{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model."},{type:"string"}],default:"auto",description:"(Optional) Whether tool use is automatic, required, or none. Can also specify a tool name to use a specific tool. Defaults to ToolChoice.auto."},tool_prompt_format:{type:"string",enum:["json","function_tag","python_list"],description:"(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls."},system_message_behavior:{type:"string",enum:["append","replace"],description:"(Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: Replaces the default system prompt with the provided system message. The system message can include the string '{{function_definitions}}' to indicate where the function definitions should be inserted.",default:"append"}},additionalProperties:!1,title:"ToolConfig",description:"Configuration for tool use."}},additionalProperties:!1,required:["messages"],title:"CreateAgentTurnRequest"}}},required:!0}}),"\n",(0,n.jsx)(g(),{id:void 0,label:void 0,responses:{200:{description:"If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk.",content:{"application/json":{schema:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},"text/event-stream":{schema:{type:"object",properties:{event:{description:"Individual event in the agent turn response stream",type:"object",properties:{payload:{oneOf:[{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnAwaitingInputPayload",description:"Payload for turn awaiting input events in agent turn responses."}],discriminator:{propertyName:"event_type",mapping:{step_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},step_progress:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},step_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},turn_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},turn_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},turn_awaiting_input:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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description="",\n),\n'})}),"\n",(0,n.jsxs)(r.ol,{start:"4",children:["\n",(0,n.jsxs)(r.li,{children:[(0,n.jsx)(r.strong,{children:"Add Tests"}),": Create unit tests and integration tests for your provider in the ",(0,n.jsx)(r.code,{children:"tests/"})," directory.","\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["Unit Tests","\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["By following the structure of the class methods, you will be able to easily run unit and integration tests for your database.","\n",(0,n.jsxs)(r.ol,{children:["\n",(0,n.jsxs)(r.li,{children:["You have to configure the tests for your provide in ",(0,n.jsx)(r.code,{children:"/tests/unit/providers/vector_io/conftest.py"}),"."]}),"\n",(0,n.jsxs)(r.li,{children:["Update the ",(0,n.jsx)(r.code,{children:"vector_provider"})," fixture to include your provider if they are an inline provider."]}),"\n",(0,n.jsxs)(r.li,{children:["Create a ",(0,n.jsx)(r.code,{children:"your_vectorprovider_index"})," fixture that initializes your vector index."]}),"\n",(0,n.jsxs)(r.li,{children:["Create a ",(0,n.jsx)(r.code,{children:"your_vectorprovider_adapter"})," fixture that initializes your vector adapter."]}),"\n",(0,n.jsxs)(r.li,{children:["Add your provider to the ",(0,n.jsx)(r.code,{children:"vector_io_providers"})," fixture dictionary."]}),"\n"]}),"\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["Please follow the naming convention of ",(0,n.jsx)(r.code,{children:"your_vectorprovider_index"})," and ",(0,n.jsx)(r.code,{children:"your_vectorprovider_adapter"})," as the tests require this to execute properly."]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,n.jsxs)(r.li,{children:["Integration Tests","\n",(0,n.jsxs)(r.ul,{children:["\n",(0,n.jsxs)(r.li,{children:["Integration tests are located in 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Please see other providers for examples."}),"\n"]}),"\n"]}),"\n"]})]})}function h(e={}){const{wrapper:r}={...(0,s.R)(),...e.components};return r?(0,n.jsx)(r,{...e,children:(0,n.jsx)(c,{...e})}):c(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/747bed9a.f94fc414.js b/docs/v0.3.0/assets/js/747bed9a.f94fc414.js new file mode 100644 index 00000000..76a1e06e --- /dev/null +++ b/docs/v0.3.0/assets/js/747bed9a.f94fc414.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[8320],{14795:(e,t,r)=>{r.d(t,{A:()=>g});r(96540);var s=r(34164),i=r(26972),c=r(28774),n=r(53465),a=r(16654),o=r(21312),l=r(51107);const d={cardContainer:"cardContainer_fWXF",cardTitle:"cardTitle_rnsV",cardDescription:"cardDescription_PWke"};var u=r(74848);function m({className:e,href:t,children:r}){return(0,u.jsx)(c.default,{href:t,className:(0,s.A)("card padding--lg",d.cardContainer,e),children:r})}function p({className:e,href:t,icon:r,title:i,description:c}){return(0,u.jsxs)(m,{href:t,className:e,children:[(0,u.jsxs)(l.default,{as:"h2",className:(0,s.A)("text--truncate",d.cardTitle),title:i,children:[r," ",i]}),c&&(0,u.jsx)("p",{className:(0,s.A)("text--truncate",d.cardDescription),title:c,children:c})]})}function f({item:e}){const t=(0,i.Nr)(e),r=function(){const{selectMessage:e}=(0,n.W)();return t=>e(t,(0,o.translate)({message:"1 item|{count} items",id:"theme.docs.DocCard.categoryDescription.plurals",description:"The default description for a category card in the generated index about how many items this category includes"},{count:t}))}();return t?(0,u.jsx)(p,{className:e.className,href:t,icon:"\ud83d\uddc3\ufe0f",title:e.label,description:e.description??r(e.items.length)}):null}function h({item:e}){const t=(0,a.A)(e.href)?"\ud83d\udcc4\ufe0f":"\ud83d\udd17",r=(0,i.cC)(e.docId??void 0);return(0,u.jsx)(p,{className:e.className,href:e.href,icon:t,title:e.label,description:e.description??r?.description})}function x({item:e}){switch(e.type){case"link":return(0,u.jsx)(h,{item:e});case"category":return(0,u.jsx)(f,{item:e});default:throw new Error(`unknown item type ${JSON.stringify(e)}`)}}const v={docCardListItem:"docCardListItem_W1sv"};function y({className:e}){const t=(0,i.a4)();return(0,u.jsx)(g,{items:t,className:e})}function N({item:e}){return(0,u.jsx)("article",{className:(0,s.A)(v.docCardListItem,"col col--6"),children:(0,u.jsx)(x,{item:e})})}function g(e){const{items:t,className:r}=e;if(!t)return(0,u.jsx)(y,{...e});const c=(0,i.d1)(t);return(0,u.jsx)("section",{className:(0,s.A)("row",r),children:c.map((e,t)=>(0,u.jsx)(N,{item:e},t))})}},68325:(e,t,r)=>{r.r(t),r.d(t,{assets:()=>d,contentTitle:()=>l,default:()=>p,frontMatter:()=>o,metadata:()=>s,toc:()=>u});const s=JSON.parse('{"id":"api/vector-io","title":"VectorIO","description":"VectorIO","source":"@site/docs/api/vector-io.tag.mdx","sourceDirName":"api","slug":"/api/vector-io","permalink":"/v0.3.0/docs/api/vector-io","draft":false,"unlisted":false,"editUrl":null,"tags":[],"version":"current","frontMatter":{"id":"vector-io","title":"VectorIO","description":"VectorIO","custom_edit_url":null},"sidebar":"stableApiSidebar","previous":{"title":"Query the RAG system for context; typically invoked by the agent.","permalink":"/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent"},"next":{"title":"Insert chunks into a vector database.","permalink":"/v0.3.0/docs/api/insert-chunks-into-a-vector-database"}}');var i=r(74848),c=r(28453),n=r(14795),a=r(83262);const o={id:"vector-io",title:"VectorIO",description:"VectorIO",custom_edit_url:null},l=void 0,d={},u=[];function m(e){return(0,i.jsx)(n.A,{items:(0,a.useCurrentSidebarCategory)().items})}function p(e={}){const{wrapper:t}={...(0,c.R)(),...e.components};return t?(0,i.jsx)(t,{...e,children:(0,i.jsx)(m,{...e})}):m()}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/74d8c5d4.5c824af5.js b/docs/v0.3.0/assets/js/74d8c5d4.5c824af5.js new file mode 100644 index 00000000..7a56a958 --- /dev/null +++ b/docs/v0.3.0/assets/js/74d8c5d4.5c824af5.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[5454],{37092:(e,n,i)=>{i.r(n),i.d(n,{assets:()=>a,contentTitle:()=>o,default:()=>h,frontMatter:()=>s,metadata:()=>t,toc:()=>d});const t=JSON.parse('{"id":"distributions/ondevice_distro/android_sdk","title":"Llama Stack Client Kotlin API Library","description":"We are excited to share a guide for a Kotlin Library that brings front the benefits of Llama Stack to your Android device. 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This library is a set of SDKs that provide a simple and effective way to integrate AI capabilities into your Android app whether it is local (on-device) or remote inference."}),"\n",(0,r.jsx)(n.p,{children:"Features:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Local Inferencing: Run Llama models purely on-device with real-time processing. We currently utilize ExecuTorch as the local inference distributor and may support others in the future.","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.a,{href:"https://github.com/pytorch/executorch/tree/main",children:"ExecuTorch"})," is a complete end-to-end solution within the PyTorch framework for inferencing capabilities on-device with high portability and seamless performance."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.li,{children:"Remote Inferencing: Perform inferencing tasks remotely with Llama models hosted on a remote connection (or serverless localhost)."}),"\n",(0,r.jsx)(n.li,{children:"Simple Integration: With easy-to-use APIs, a developer can quickly integrate Llama Stack in their Android app. The difference with local vs remote inferencing is also minimal."}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Latest Release Notes: ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release",children:"link"})]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.em,{children:"Tagged releases are stable versions of the project. While we strive to maintain a stable main branch, it's not guaranteed to be free of bugs or issues."})}),"\n",(0,r.jsx)(n.h2,{id:"android-demo-app",children:"Android Demo App"}),"\n",(0,r.jsxs)(n.p,{children:["Check out our demo app to see how to integrate Llama Stack into your Android app: ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/examples/android_app",children:"Android Demo App"})]}),"\n",(0,r.jsxs)(n.p,{children:["The key files in the app are ",(0,r.jsx)(n.code,{children:"ExampleLlamaStackLocalInference.kt"}),", ",(0,r.jsx)(n.code,{children:"ExampleLlamaStackRemoteInference.kts"}),", and ",(0,r.jsx)(n.code,{children:"MainActivity.java"}),". With encompassed business logic, the app shows how to use Llama Stack for both the environments."]}),"\n",(0,r.jsx)(n.h2,{id:"quick-start",children:"Quick Start"}),"\n",(0,r.jsx)(n.h3,{id:"add-dependencies",children:"Add Dependencies"}),"\n",(0,r.jsx)(n.h4,{id:"kotlin-library",children:"Kotlin Library"}),"\n",(0,r.jsxs)(n.p,{children:["Add the following dependency in your ",(0,r.jsx)(n.code,{children:"build.gradle.kts"})," file:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'dependencies {\n implementation("com.llama.llamastack:llama-stack-client-kotlin:0.2.2")\n}\n'})}),"\n",(0,r.jsxs)(n.p,{children:["This will download jar files in your gradle cache in a directory like ",(0,r.jsx)(n.code,{children:"~/.gradle/caches/modules-2/files-2.1/com.llama.llamastack/"})]}),"\n",(0,r.jsx)(n.p,{children:"If you plan on doing remote inferencing this is sufficient to get started."}),"\n",(0,r.jsx)(n.h4,{id:"dependency-for-local",children:"Dependency for Local"}),"\n",(0,r.jsx)(n.p,{children:"For local inferencing, it is required to include the ExecuTorch library into your app."}),"\n",(0,r.jsx)(n.p,{children:"Include the ExecuTorch library by:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Download the ",(0,r.jsx)(n.code,{children:"download-prebuilt-et-lib.sh"})," script file from the ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/llama-stack-client-kotlin-client-local/download-prebuilt-et-lib.sh",children:"llama-stack-client-kotlin-client-local"})," directory to your local machine."]}),"\n",(0,r.jsxs)(n.li,{children:["Move the script to the top level of your Android app where the ",(0,r.jsx)(n.code,{children:"app"})," directory resides."]}),"\n",(0,r.jsxs)(n.li,{children:["Run ",(0,r.jsx)(n.code,{children:"sh download-prebuilt-et-lib.sh"})," to create an ",(0,r.jsx)(n.code,{children:"app/libs"})," directory and download the ",(0,r.jsx)(n.code,{children:"executorch.aar"})," in that path. This generates an ExecuTorch library for the XNNPACK delegate."]}),"\n",(0,r.jsxs)(n.li,{children:["Add the ",(0,r.jsx)(n.code,{children:"executorch.aar"})," dependency in your ",(0,r.jsx)(n.code,{children:"build.gradle.kts"})," file:"]}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'dependencies {\n ...\n implementation(files("libs/executorch.aar"))\n ...\n}\n'})}),"\n",(0,r.jsxs)(n.p,{children:["See other dependencies for the local RAG in Android app ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/examples/android_app#quick-start",children:"README"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"llama-stack-apis-in-your-android-app",children:"Llama Stack APIs in Your Android App"}),"\n",(0,r.jsx)(n.p,{children:"Breaking down the demo app, this section will show the core pieces that are used to initialize and run inference with Llama Stack using the Kotlin library."}),"\n",(0,r.jsx)(n.h3,{id:"setup-remote-inferencing",children:"Setup Remote Inferencing"}),"\n",(0,r.jsx)(n.p,{children:"Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"uv venv starter --python 3.12\nsource starter/bin/activate # On Windows: starter\\Scripts\\activate\npip install --no-cache llama-stack==0.2.2\nllama stack list-deps starter | xargs -L1 uv pip install\nexport FIREWORKS_API_KEY=\nllama stack run starter --port 5050\n"})}),"\n",(0,r.jsx)(n.p,{children:"Ensure the Llama Stack server version is the same as the Kotlin SDK Library for maximum compatibility."}),"\n",(0,r.jsxs)(n.p,{children:["Other inference providers: ",(0,r.jsx)(n.a,{href:"/docs/",children:"Table"})]}),"\n",(0,r.jsxs)(n.p,{children:["How to set remote localhost in Demo App: ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/examples/android_app#settings",children:"Settings"})]}),"\n",(0,r.jsx)(n.h3,{id:"initialize-the-client",children:"Initialize the Client"}),"\n",(0,r.jsx)(n.p,{children:"A client serves as the primary interface for interacting with a specific inference type and its associated parameters. Only after client is initialized then you can configure and start inferences."}),"\n",(0,r.jsxs)("table",{children:[(0,r.jsxs)("tr",{children:[(0,r.jsx)("th",{children:"Local Inference"}),(0,r.jsx)("th",{children:"Remote Inference"})]}),(0,r.jsxs)("tr",{children:[(0,r.jsx)("td",{children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"client = LlamaStackClientLocalClient\n .builder()\n .modelPath(modelPath)\n .tokenizerPath(tokenizerPath)\n .temperature(temperature)\n .build()\n"})})}),(0,r.jsx)("td",{children:(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'// remoteURL is a string like "http://localhost:5050"\nclient = LlamaStackClientOkHttpClient\n .builder()\n .baseUrl(remoteURL)\n .build()\n'})})})]})]}),"\n",(0,r.jsx)(n.h3,{id:"run-inference",children:"Run Inference"}),"\n",(0,r.jsx)(n.p,{children:"With the Kotlin Library managing all the major operational logic, there are minimal to no changes when running simple chat inference for local or remote:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"val result = client!!.inference().chatCompletion(\n InferenceChatCompletionParams.builder()\n .modelId(modelName)\n .messages(listOfMessages)\n .build()\n )\n\n// response contains string with response from model\nvar response = result.asChatCompletionResponse().completionMessage().content().string();\n"})}),"\n",(0,r.jsx)(n.p,{children:"[Remote only] For inference with a streaming response:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"val result = client!!.inference().chatCompletionStreaming(\n InferenceChatCompletionParams.builder()\n .modelId(modelName)\n .messages(listOfMessages)\n .build()\n )\n\n// Response can be received as a asChatCompletionResponseStreamChunk as part of a callback.\n// See Android demo app for a detailed implementation example.\n"})}),"\n",(0,r.jsx)(n.h3,{id:"setup-custom-tool-calling",children:"Setup Custom Tool Calling"}),"\n",(0,r.jsxs)(n.p,{children:["Android demo app for more details: ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/tree/latest-release/examples/android_app#tool-calling",children:"Custom Tool Calling"})]}),"\n",(0,r.jsx)(n.h2,{id:"advanced-users",children:"Advanced Users"}),"\n",(0,r.jsx)(n.p,{children:"The purpose of this section is to share more details with users that would like to dive deeper into the Llama Stack Kotlin Library. Whether you\u2019re interested in contributing to the open source library, debugging or just want to learn more, this section is for you!"}),"\n",(0,r.jsx)(n.h3,{id:"prerequisite",children:"Prerequisite"}),"\n",(0,r.jsx)(n.p,{children:"You must complete the following steps:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["Clone the repo (",(0,r.jsx)(n.code,{children:"git clone https://github.com/meta-llama/llama-stack-client-kotlin.git -b latest-release"}),")"]}),"\n",(0,r.jsx)(n.li,{children:"Port the appropriate ExecuTorch libraries over into your Llama Stack Kotlin library environment."}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"cd llama-stack-client-kotlin-client-local\nsh download-prebuilt-et-lib.sh --unzip\n"})}),"\n",(0,r.jsxs)(n.p,{children:["Now you will notice that the ",(0,r.jsx)(n.code,{children:"jni/"})," , ",(0,r.jsx)(n.code,{children:"libs/"}),", and ",(0,r.jsx)(n.code,{children:"AndroidManifest.xml"})," files from the ",(0,r.jsx)(n.code,{children:"executorch.aar"})," file are present in the local module. This way the local client module will be able to realize the ExecuTorch SDK."]}),"\n",(0,r.jsx)(n.h3,{id:"building-for-developmentdebugging",children:"Building for Development/Debugging"}),"\n",(0,r.jsx)(n.p,{children:"If you\u2019d like to contribute to the Kotlin library via development, debug, or add play around with the library with various print statements, run the following command in your terminal under the llama-stack-client-kotlin directory."}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"sh build-libs.sh\n"})}),"\n",(0,r.jsx)(n.p,{children:"Output: .jar files located in the build-jars directory"}),"\n",(0,r.jsx)(n.p,{children:"Copy the .jar files over to the lib directory in your Android app. At the same time make sure to remove the llama-stack-client-kotlin dependency within your build.gradle.kts file in your app (or if you are using the demo app) to avoid having multiple llama stack client dependencies."}),"\n",(0,r.jsx)(n.h3,{id:"additional-options-for-local-inferencing",children:"Additional Options for Local Inferencing"}),"\n",(0,r.jsx)(n.p,{children:"Currently we provide additional properties support with local inferencing. In order to get the tokens/sec metric for each inference call, add the following code in your Android app after you run your chatCompletion inference function. The Reference app has this implementation as well:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:'var tps = (result.asChatCompletionResponse()._additionalProperties()["tps"] as JsonNumber).value as Float\n'})}),"\n",(0,r.jsx)(n.p,{children:"We will be adding more properties in the future."}),"\n",(0,r.jsx)(n.h3,{id:"additional-options-for-remote-inferencing",children:"Additional Options for Remote Inferencing"}),"\n",(0,r.jsx)(n.h4,{id:"network-options",children:"Network options"}),"\n",(0,r.jsx)(n.h5,{id:"retries",children:"Retries"}),"\n",(0,r.jsxs)(n.p,{children:["Requests that experience certain errors are automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default.\nYou can provide a ",(0,r.jsx)(n.code,{children:"maxRetries"})," on the client builder to configure this:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-kotlin",children:"val client = LlamaStackClientOkHttpClient.builder()\n .fromEnv()\n .maxRetries(4)\n .build()\n"})}),"\n",(0,r.jsx)(n.h5,{id:"timeouts",children:"Timeouts"}),"\n",(0,r.jsx)(n.p,{children:"Requests time out after 1 minute by default. You can configure this on the client builder:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-kotlin",children:"val client = LlamaStackClientOkHttpClient.builder()\n .fromEnv()\n .timeout(Duration.ofSeconds(30))\n .build()\n"})}),"\n",(0,r.jsx)(n.h5,{id:"proxies",children:"Proxies"}),"\n",(0,r.jsx)(n.p,{children:"Requests can be routed through a proxy. You can configure this on the client builder:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-kotlin",children:'val client = LlamaStackClientOkHttpClient.builder()\n .fromEnv()\n .proxy(new Proxy(\n Type.HTTP,\n new InetSocketAddress("proxy.com", 8080)\n ))\n .build()\n'})}),"\n",(0,r.jsx)(n.h5,{id:"environments",children:"Environments"}),"\n",(0,r.jsxs)(n.p,{children:["Requests are made to the production environment by default. You can connect to other environments, like ",(0,r.jsx)(n.code,{children:"sandbox"}),", via the client builder:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-kotlin",children:"val client = LlamaStackClientOkHttpClient.builder()\n .fromEnv()\n .sandbox()\n .build()\n"})}),"\n",(0,r.jsx)(n.h3,{id:"error-handling",children:"Error Handling"}),"\n",(0,r.jsx)(n.p,{children:"This library throws exceptions in a single hierarchy for easy handling:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:(0,r.jsx)(n.code,{children:"LlamaStackClientException"})})," - Base exception for all exceptions"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:(0,r.jsx)(n.code,{children:"LlamaStackClientServiceException"})})," - HTTP errors with a well-formed response body we were able to parse. The exception message and the ",(0,r.jsx)(n.code,{children:".debuggingRequestId()"})," will be set by the server."]}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"400"}),(0,r.jsx)(n.th,{children:"BadRequestException"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"401"}),(0,r.jsx)(n.td,{children:"AuthenticationException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"403"}),(0,r.jsx)(n.td,{children:"PermissionDeniedException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"404"}),(0,r.jsx)(n.td,{children:"NotFoundException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"422"}),(0,r.jsx)(n.td,{children:"UnprocessableEntityException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"429"}),(0,r.jsx)(n.td,{children:"RateLimitException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"5xx"}),(0,r.jsx)(n.td,{children:"InternalServerException"})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:"others"}),(0,r.jsx)(n.td,{children:"UnexpectedStatusCodeException"})]})]})]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:(0,r.jsx)(n.code,{children:"LlamaStackClientIoException"})})," - I/O networking errors"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:(0,r.jsx)(n.code,{children:"LlamaStackClientInvalidDataException"})})," - any other exceptions on the client side, e.g.:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"We failed to serialize the request body"}),"\n",(0,r.jsx)(n.li,{children:"We failed to parse the response body (has access to response code and body)"}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"reporting-issues",children:"Reporting Issues"}),"\n",(0,r.jsxs)(n.p,{children:["If you encountered any bugs or issues following this guide please file a bug/issue on our ",(0,r.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-client-kotlin/issues",children:"Github issue tracker"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"known-issues",children:"Known Issues"}),"\n",(0,r.jsx)(n.p,{children:"We're aware of the following issues and are working to resolve them:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsx)(n.li,{children:"Streaming response is a work-in-progress for local and remote inference"}),"\n",(0,r.jsx)(n.li,{children:"Due to #1, agents are not supported at the time. LS agents only work in streaming mode"}),"\n",(0,r.jsx)(n.li,{children:"Changing to another model is a work in progress for local and remote platforms"}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"thanks",children:"Thanks"}),"\n",(0,r.jsxs)(n.p,{children:["We'd like to extend our thanks to the ExecuTorch team for providing their support as we integrated ExecuTorch as one of the local inference distributors for Llama Stack. Checkout ",(0,r.jsx)(n.a,{href:"https://github.com/pytorch/executorch/tree/main",children:"ExecuTorch Github repo"})," for more information."]}),"\n",(0,r.jsx)(n.hr,{}),"\n",(0,r.jsxs)(n.p,{children:["The API interface is generated using the OpenAPI standard with ",(0,r.jsx)(n.a,{href:"https://www.stainlessapi.com/",children:"Stainless"}),"."]})]})}function h(e={}){const{wrapper:n}={...(0,l.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(c,{...e})}):c(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/74e39105.c0320091.js b/docs/v0.3.0/assets/js/74e39105.c0320091.js new file mode 100644 index 00000000..ef81058d --- /dev/null +++ b/docs/v0.3.0/assets/js/74e39105.c0320091.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[425],{4865:(e,n,s)=>{s.d(n,{A:()=>p});var i=s(96540),a=s(34164),t=s(23104),l=s(47751),r=s(92303);const 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Llama Stack provides a comprehensive Shield system that can be applied at multiple touchpoints to ensure responsible AI behavior and content moderation."}),"\n",(0,a.jsx)(n.h2,{id:"shield-system-overview",children:"Shield System Overview"}),"\n",(0,a.jsx)(n.p,{children:"The Shield system in Llama Stack provides:"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:"Content filtering"})," for both input and output messages"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:"Multi-touchpoint protection"})," across your application flow"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:"Configurable safety policies"})," tailored to your use case"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:"Integration with agents"})," for automated safety enforcement"]}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"basic-shield-usage",children:"Basic Shield Usage"}),"\n",(0,a.jsx)(n.h3,{id:"registering-a-safety-shield",children:"Registering a Safety Shield"}),"\n",(0,a.jsxs)(l.A,{children:[(0,a.jsx)(r.default,{value:"registration",label:"Shield Registration",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Register a safety shield\nshield_id = "content_safety"\nclient.shields.register(\n shield_id=shield_id,\n provider_shield_id="llama-guard-basic"\n)\n'})})}),(0,a.jsx)(r.default,{value:"manual-check",label:"Manual Safety Check",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Run content through shield manually\nresponse = client.safety.run_shield(\n shield_id=shield_id,\n messages=[{"role": "user", "content": "User message here"}]\n)\n\nif response.violation:\n print(f"Safety violation detected: {response.violation.user_message}")\n # Handle violation appropriately\nelse:\n print("Content passed safety checks")\n'})})})]}),"\n",(0,a.jsx)(n.h2,{id:"agent-integration",children:"Agent Integration"}),"\n",(0,a.jsx)(n.p,{children:"Shields can be automatically applied to agent interactions for seamless safety enforcement:"}),"\n",(0,a.jsxs)(l.A,{children:[(0,a.jsx)(r.default,{value:"input-shields",label:"Input Shields",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import Agent\n\n# Create agent with input safety shields\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions="You are a helpful assistant",\n input_shields=["content_safety"], # Shield user inputs\n tools=["builtin::websearch"],\n)\n\nsession_id = agent.create_session("safe_session")\n\n# All user inputs will be automatically screened\nresponse = agent.create_turn(\n messages=[{"role": "user", "content": "Tell me about AI safety"}],\n session_id=session_id,\n)\n'})})}),(0,a.jsx)(r.default,{value:"output-shields",label:"Output Shields",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Create agent with output safety shields\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions="You are a helpful assistant",\n output_shields=["content_safety"], # Shield agent outputs\n tools=["builtin::websearch"],\n)\n\nsession_id = agent.create_session("safe_session")\n\n# All agent responses will be automatically screened\nresponse = agent.create_turn(\n messages=[{"role": "user", "content": "Help me with my research"}],\n session_id=session_id,\n)\n'})})}),(0,a.jsx)(r.default,{value:"both-shields",label:"Input & Output Shields",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Create agent with comprehensive safety coverage\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions="You are a helpful assistant",\n input_shields=["content_safety"], # Screen user inputs\n output_shields=["content_safety"], # Screen agent outputs\n tools=["builtin::websearch"],\n)\n\nsession_id = agent.create_session("fully_protected_session")\n\n# Both input and output are automatically protected\nresponse = agent.create_turn(\n messages=[{"role": "user", "content": "Research question here"}],\n session_id=session_id,\n)\n'})})})]}),"\n",(0,a.jsx)(n.h2,{id:"available-shield-types",children:"Available Shield Types"}),"\n",(0,a.jsx)(n.h3,{id:"llama-guard-shields",children:"Llama Guard Shields"}),"\n",(0,a.jsx)(n.p,{children:"Llama Guard provides state-of-the-art content safety classification:"}),"\n",(0,a.jsxs)(l.A,{children:[(0,a.jsxs)(r.default,{value:"basic",label:"Basic Llama Guard",children:[(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Basic Llama Guard for general content safety\nclient.shields.register(\n shield_id="llama_guard_basic",\n provider_shield_id="llama-guard-basic"\n)\n'})}),(0,a.jsx)(n.p,{children:(0,a.jsx)(n.strong,{children:"Use Cases:"})}),(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"General content moderation"}),"\n",(0,a.jsx)(n.li,{children:"Harmful content detection"}),"\n",(0,a.jsx)(n.li,{children:"Basic safety compliance"}),"\n"]})]}),(0,a.jsxs)(r.default,{value:"advanced",label:"Advanced Llama Guard",children:[(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Advanced Llama Guard with custom categories\nclient.shields.register(\n shield_id="llama_guard_advanced",\n provider_shield_id="llama-guard-advanced",\n config={\n "categories": [\n "violence", "hate_speech", "sexual_content",\n "self_harm", "illegal_activity"\n ],\n "threshold": 0.8\n }\n)\n'})}),(0,a.jsx)(n.p,{children:(0,a.jsx)(n.strong,{children:"Use Cases:"})}),(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Fine-tuned safety policies"}),"\n",(0,a.jsx)(n.li,{children:"Domain-specific content filtering"}),"\n",(0,a.jsx)(n.li,{children:"Enterprise compliance requirements"}),"\n"]})]})]}),"\n",(0,a.jsx)(n.h3,{id:"custom-safety-shields",children:"Custom Safety Shields"}),"\n",(0,a.jsx)(n.p,{children:"Create domain-specific safety shields for specialized use cases:"}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Register custom safety shield\nclient.shields.register(\n shield_id="financial_compliance",\n provider_shield_id="custom-financial-shield",\n config={\n "detect_pii": True,\n "financial_advice_warning": True,\n "regulatory_compliance": "FINRA"\n }\n)\n'})}),"\n",(0,a.jsx)(n.h2,{id:"safety-response-handling",children:"Safety Response Handling"}),"\n",(0,a.jsx)(n.p,{children:"When safety violations are detected, handle them appropriately:"}),"\n",(0,a.jsxs)(l.A,{children:[(0,a.jsx)(r.default,{value:"basic-handling",label:"Basic Handling",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'response = client.safety.run_shield(\n shield_id="content_safety",\n messages=[{"role": "user", "content": "Potentially harmful content"}]\n)\n\nif response.violation:\n violation = response.violation\n print(f"Violation Type: {violation.violation_type}")\n print(f"User Message: {violation.user_message}")\n print(f"Metadata: {violation.metadata}")\n\n # Log the violation for audit purposes\n logger.warning(f"Safety violation detected: {violation.violation_type}")\n\n # Provide appropriate user feedback\n return "I can\'t help with that request. Please try asking something else."\n'})})}),(0,a.jsx)(r.default,{value:"advanced-handling",label:"Advanced Handling",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'def handle_safety_response(safety_response, user_message):\n """Advanced safety response handling with logging and user feedback"""\n\n if not safety_response.violation:\n return {"safe": True, "message": "Content passed safety checks"}\n\n violation = safety_response.violation\n\n # Log violation details\n audit_log = {\n "timestamp": datetime.now().isoformat(),\n "violation_type": violation.violation_type,\n "original_message": user_message,\n "shield_response": violation.user_message,\n "metadata": violation.metadata\n }\n logger.warning(f"Safety violation: {audit_log}")\n\n # Determine appropriate response based on violation type\n if violation.violation_type == "hate_speech":\n user_feedback = "I can\'t engage with content that contains hate speech. Let\'s keep our conversation respectful."\n elif violation.violation_type == "violence":\n user_feedback = "I can\'t provide information that could promote violence. How else can I help you today?"\n else:\n user_feedback = "I can\'t help with that request. Please try asking something else."\n\n return {\n "safe": False,\n "user_feedback": user_feedback,\n "violation_details": audit_log\n }\n\n# Usage\nsafety_result = handle_safety_response(response, user_input)\nif not safety_result["safe"]:\n return safety_result["user_feedback"]\n'})})})]}),"\n",(0,a.jsx)(n.h2,{id:"safety-configuration-best-practices",children:"Safety Configuration Best Practices"}),"\n",(0,a.jsxs)(n.h3,{id:"\ufe0f-multi-layer-protection",children:["\ud83d\udee1\ufe0f ",(0,a.jsx)(n.strong,{children:"Multi-Layer Protection"})]}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsx)(n.li,{children:"Use both input and output shields for comprehensive coverage"}),"\n",(0,a.jsx)(n.li,{children:"Combine multiple shield types for different threat categories"}),"\n",(0,a.jsx)(n.li,{children:"Implement fallback mechanisms when shields fail"}),"\n"]}),"\n",(0,a.jsxs)(n.h3,{id:"-monitoring--auditing",children:["\ud83d\udcca ",(0,a.jsx)(n.strong,{children:"Monitoring & 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process"}),"\n",(0,a.jsx)(n.li,{children:"Test safety measures with adversarial inputs"}),"\n",(0,a.jsx)(n.li,{children:"Provide clear user feedback for violations"}),"\n"]}),"\n",(0,a.jsx)(n.h2,{id:"advanced-safety-scenarios",children:"Advanced Safety Scenarios"}),"\n",(0,a.jsx)(n.h3,{id:"context-aware-safety",children:"Context-Aware Safety"}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Safety shields that consider conversation context\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions="You are a healthcare assistant",\n input_shields=["medical_safety"],\n output_shields=["medical_safety"],\n # Context helps shields make better decisions\n safety_context={\n "domain": "healthcare",\n "user_type": "patient",\n "compliance_level": "HIPAA"\n }\n)\n'})}),"\n",(0,a.jsx)(n.h3,{id:"dynamic-shield-selection",children:"Dynamic Shield Selection"}),"\n",(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'def select_shield_for_user(user_profile):\n """Select appropriate safety shield based on user context"""\n if user_profile.age < 18:\n return "child_safety_shield"\n elif user_profile.context == "enterprise":\n return "enterprise_compliance_shield"\n else:\n return "general_safety_shield"\n\n# Use dynamic shield selection\nshield_id = select_shield_for_user(current_user)\nresponse = client.safety.run_shield(\n shield_id=shield_id,\n messages=messages\n)\n'})}),"\n",(0,a.jsx)(n.h2,{id:"compliance-and-regulations",children:"Compliance and Regulations"}),"\n",(0,a.jsx)(n.h3,{id:"industry-specific-safety",children:"Industry-Specific Safety"}),"\n",(0,a.jsxs)(l.A,{children:[(0,a.jsx)(r.default,{value:"healthcare",label:"Healthcare (HIPAA)",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Healthcare-specific safety configuration\nclient.shields.register(\n shield_id="hipaa_compliance",\n provider_shield_id="healthcare-safety-shield",\n config={\n "detect_phi": True, # Protected Health Information\n "medical_advice_warning": True,\n "regulatory_framework": "HIPAA"\n }\n)\n'})})}),(0,a.jsx)(r.default,{value:"financial",label:"Financial (FINRA)",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Financial services safety configuration\nclient.shields.register(\n shield_id="finra_compliance",\n provider_shield_id="financial-safety-shield",\n config={\n "detect_financial_advice": True,\n "investment_disclaimers": True,\n "regulatory_framework": "FINRA"\n }\n)\n'})})}),(0,a.jsx)(r.default,{value:"education",label:"Education (COPPA)",children:(0,a.jsx)(n.pre,{children:(0,a.jsx)(n.code,{className:"language-python",children:'# Educational platform safety for minors\nclient.shields.register(\n shield_id="coppa_compliance",\n provider_shield_id="educational-safety-shield",\n config={\n "child_protection": True,\n "educational_content_only": True,\n "regulatory_framework": "COPPA"\n }\n)\n'})})})]}),"\n",(0,a.jsx)(n.h2,{id:"related-resources",children:"Related Resources"}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:(0,a.jsx)(n.a,{href:"./agent",children:"Agents"})})," - Integrating safety shields with intelligent agents"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:(0,a.jsx)(n.a,{href:"./agent_execution_loop",children:"Agent Execution Loop"})})," - Understanding safety in the execution flow"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:(0,a.jsx)(n.a,{href:"./evals",children:"Evaluations"})})," - Evaluating safety shield effectiveness"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.strong,{children:(0,a.jsx)(n.a,{href:"./telemetry",children:"Telemetry"})})," - Monitoring safety violations and 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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of chat completions to return.",required:!1,schema:{type:"integer"}},{name:"model",in:"query",description:"The model to filter by.",required:!1,schema:{type:"string"}},{name:"order",in:"query",description:'The order to sort the chat completions by: "asc" or "desc". Defaults to "desc".',required:!1,schema:{type:"string",enum:["asc","desc"],title:"Order",description:"Sort order for paginated responses."}}]}),"\n",(0,n.jsx)(d(),{title:"Body",body:void 0}),"\n",(0,n.jsx)(y(),{id:void 0,label:void 0,responses:{200:{description:"A ListOpenAIChatCompletionResponse.",content:{"application/json":{schema:{type:"object",properties:{data:{type:"array",items:{type:"object",properties:{id:{type:"string",description:"The ID of the chat completion"},choices:{type:"array",items:{type:"object",properties:{message:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},description:"The message from the model"},finish_reason:{type:"string",description:"The reason the model stopped generating"},index:{type:"integer",description:"The index of the choice"},logprobs:{description:"(Optional) The log probabilities for the tokens in the message",type:"object",properties:{content:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"},refusal:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"}},additionalProperties:!1,title:"OpenAIChoiceLogprobs"}},additionalProperties:!1,required:["message","finish_reason","index"],title:"OpenAIChoice",description:"A choice from an OpenAI-compatible chat completion response."},description:"List of choices"},object:{type:"string",const:"chat.completion",default:"chat.completion",description:'The object type, which will be "chat.completion"'},created:{type:"integer",description:"The Unix timestamp in seconds when the chat completion was created"},model:{type:"string",description:"The model that was used to generate the chat completion"},usage:{description:"Token usage information for the completion",type:"object",properties:{prompt_tokens:{type:"integer",description:"Number of tokens in the prompt"},completion_tokens:{type:"integer",description:"Number of tokens in the completion"},total_tokens:{type:"integer",description:"Total tokens used (prompt + completion)"},prompt_tokens_details:{type:"object",properties:{cached_tokens:{type:"integer",description:"Number of tokens retrieved from cache"}},additionalProperties:!1,title:"OpenAIChatCompletionUsagePromptTokensDetails",description:"Token details for prompt tokens in OpenAI chat completion usage."},completion_tokens_details:{type:"object",properties:{reasoning_tokens:{type:"integer",description:"Number of tokens used for reasoning (o1/o3 models)"}},additionalProperties:!1,title:"OpenAIChatCompletionUsageCompletionTokensDetails",description:"Token details for output tokens in OpenAI chat completion usage."}},additionalProperties:!1,required:["prompt_tokens","completion_tokens","total_tokens"],title:"OpenAIChatCompletionUsage"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. 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For guidance on customizing these files for your specific needs, see [Customizing Your run.yaml Configuration](customizing_run_yaml.md).\n"})}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-{dropdown}",metastring:"\ud83d\udc4b Click here for a Sample Configuration File",children:'\n```yaml\nversion: 2\napis:\n- agents\n- inference\n- vector_io\n- safety\n- telemetry\nproviders:\n inference:\n - provider_id: ollama\n provider_type: remote::ollama\n config:\n url: ${env.OLLAMA_URL:=http://localhost:11434}\n vector_io:\n - provider_id: faiss\n provider_type: inline::faiss\n config:\n kvstore:\n type: sqlite\n namespace: null\n db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/faiss_store.db\n safety:\n - provider_id: llama-guard\n provider_type: inline::llama-guard\n config: {}\n agents:\n - provider_id: meta-reference\n provider_type: inline::meta-reference\n config:\n persistence:\n agent_state:\n backend: kv_default\n namespace: agents\n responses:\n backend: sql_default\n table_name: responses\n telemetry:\n - provider_id: meta-reference\n provider_type: inline::meta-reference\n config: {}\nstorage:\n backends:\n kv_default:\n type: kv_sqlite\n db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/kvstore.db\n sql_default:\n type: sql_sqlite\n db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/sqlstore.db\n references:\n metadata:\n backend: kv_default\n namespace: registry\n inference:\n backend: sql_default\n table_name: inference_store\nmodels:\n- metadata: {}\n model_id: ${env.INFERENCE_MODEL}\n provider_id: ollama\n provider_model_id: null\nshields: []\nserver:\n port: 8321\n auth:\n provider_config:\n type: "oauth2_token"\n jwks:\n uri: "https://my-token-issuing-svc.com/jwks"\n'})}),"\n",(0,r.jsx)(n.p,{children:"Let's break this down into the different sections. 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When you run a stack server, you can set environment variables in your shell before running ",(0,r.jsx)(n.code,{children:"llama stack run"})," to override the default values."]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"environment-variable-substitution",children:"Environment Variable Substitution"}),"\n",(0,r.jsxs)(n.p,{children:["Llama Stack supports environment variable substitution in configuration values using the\n",(0,r.jsx)(n.code,{children:"${env.VARIABLE_NAME}"})," syntax. This allows you to externalize configuration values and provide\ndifferent settings for different environments. The syntax is inspired by ",(0,r.jsx)(n.a,{href:"https://www.gnu.org/software/bash/manual/html_node/Shell-Parameter-Expansion.html",children:"bash parameter expansion"}),"\nand follows similar patterns."]}),"\n",(0,r.jsx)(n.h4,{id:"basic-syntax",children:"Basic Syntax"}),"\n",(0,r.jsx)(n.p,{children:"The basic syntax for environment variable substitution is:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"config:\n api_key: ${env.API_KEY}\n url: ${env.SERVICE_URL}\n"})}),"\n",(0,r.jsx)(n.p,{children:"If the environment variable is not set, the server will raise an error during startup."}),"\n",(0,r.jsx)(n.h4,{id:"default-values",children:"Default Values"}),"\n",(0,r.jsxs)(n.p,{children:["You can provide default values using the ",(0,r.jsx)(n.code,{children:":="})," operator:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"config:\n url: ${env.OLLAMA_URL:=http://localhost:11434}\n port: ${env.PORT:=8321}\n timeout: ${env.TIMEOUT:=60}\n"})}),"\n",(0,r.jsxs)(n.p,{children:["If the environment variable is not set, the default value ",(0,r.jsx)(n.code,{children:"http://localhost:11434"})," will be used.\nEmpty defaults are allowed so ",(0,r.jsx)(n.code,{children:"url: ${env.OLLAMA_URL:=}"})," will be set to ",(0,r.jsx)(n.code,{children:"None"})," if the environment variable is not set."]}),"\n",(0,r.jsx)(n.h4,{id:"conditional-values",children:"Conditional Values"}),"\n",(0,r.jsxs)(n.p,{children:["You can use the ",(0,r.jsx)(n.code,{children:":+"})," operator to provide a value only when the environment variable is set:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"config:\n # Only include this field if ENVIRONMENT is set\n environment: ${env.ENVIRONMENT:+production}\n"})}),"\n",(0,r.jsxs)(n.p,{children:["If the environment variable is set, the value after ",(0,r.jsx)(n.code,{children:":+"})," will be used. If it's not set, the field\nwill be omitted with a ",(0,r.jsx)(n.code,{children:"None"})," value."]}),"\n",(0,r.jsxs)(n.p,{children:["Do not use conditional values (",(0,r.jsx)(n.code,{children:"${env.OLLAMA_URL:+}"}),") for empty defaults (",(0,r.jsx)(n.code,{children:"${env.OLLAMA_URL:=}"}),").\nThis will be set to ",(0,r.jsx)(n.code,{children:"None"})," if the environment variable is not set.\nConditional must only be used when the environment variable is set."]}),"\n",(0,r.jsx)(n.h4,{id:"examples",children:"Examples"}),"\n",(0,r.jsx)(n.p,{children:"Here are some common patterns:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"# Required environment variable (will error if not set)\napi_key: ${env.OPENAI_API_KEY}\n\n# Optional with default\nbase_url: ${env.API_BASE_URL:=https://api.openai.com/v1}\n\n# Conditional field\ndebug_mode: ${env.DEBUG:+true}\n\n# Optional field that becomes None if not set\noptional_token: ${env.OPTIONAL_TOKEN:+}\n"})}),"\n",(0,r.jsx)(n.h4,{id:"runtime-override",children:"Runtime Override"}),"\n",(0,r.jsx)(n.p,{children:"You can override environment variables at runtime by setting them in your shell before starting the server:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"# Set environment variables in your shell\nexport API_KEY=sk-123\nexport BASE_URL=https://custom-api.com\nllama stack run --config run.yaml\n"})}),"\n",(0,r.jsx)(n.h4,{id:"type-safety",children:"Type Safety"}),"\n",(0,r.jsx)(n.p,{children:"The environment variable substitution system is type-safe:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"String values remain strings"}),"\n",(0,r.jsxs)(n.li,{children:["Empty defaults (",(0,r.jsx)(n.code,{children:"${env.VAR:+}"}),") are converted to ",(0,r.jsx)(n.code,{children:"None"})," for fields that accept ",(0,r.jsx)(n.code,{children:"str | None"})]}),"\n",(0,r.jsxs)(n.li,{children:["Numeric defaults are properly typed (e.g., ",(0,r.jsx)(n.code,{children:"${env.PORT:=8321}"})," becomes an integer)"]}),"\n",(0,r.jsxs)(n.li,{children:["Boolean defaults work correctly (e.g., ",(0,r.jsx)(n.code,{children:"${env.DEBUG:=false}"})," becomes a boolean)"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"resources",children:"Resources"}),"\n",(0,r.jsxs)(n.p,{children:["Let's look at the ",(0,r.jsx)(n.code,{children:"models"})," section:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"models:\n- metadata: {}\n model_id: ${env.INFERENCE_MODEL}\n provider_id: ollama\n provider_model_id: null\n model_type: llm\n"})}),"\n",(0,r.jsxs)(n.p,{children:['A Model is an instance of a "Resource" (see ',(0,r.jsx)(n.a,{href:"../concepts/",children:"Concepts"}),") and is associated with a specific inference provider (in this case, the provider with identifier ",(0,r.jsx)(n.code,{children:"ollama"}),'). This is an instance of a "pre-registered" model. While we always encourage the clients to register models before using them, some Stack servers may come up a list of "already known and available" models.']}),"\n",(0,r.jsxs)(n.p,{children:["What's with the ",(0,r.jsx)(n.code,{children:"provider_model_id"})," field? This is an identifier for the model inside the provider's model catalog. Contrast it with ",(0,r.jsx)(n.code,{children:"model_id"})," which is the identifier for the same model for Llama Stack's purposes. For example, you may want to name \"llama3.2",":vision-11b",'" as "image_captioning_model" when you use it in your Stack interactions. When omitted, the server will set ',(0,r.jsx)(n.code,{children:"provider_model_id"})," to be the same as ",(0,r.jsx)(n.code,{children:"model_id"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["If you need to conditionally register a model in the configuration, such as only when specific environment variable(s) are set, this can be accomplished by utilizing a special ",(0,r.jsx)(n.code,{children:"__disabled__"})," string as the default value of an environment variable substitution, as shown below:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"models:\n- metadata: {}\n model_id: ${env.INFERENCE_MODEL:__disabled__}\n provider_id: ollama\n provider_model_id: ${env.INFERENCE_MODEL:__disabled__}\n"})}),"\n",(0,r.jsxs)(n.p,{children:["The snippet above will only register this model if the environment variable ",(0,r.jsx)(n.code,{children:"INFERENCE_MODEL"})," is set and non-empty. If the environment variable is not set, the model will not get registered at all."]}),"\n",(0,r.jsx)(n.h2,{id:"server-configuration",children:"Server Configuration"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"server"})," section configures the HTTP server that serves the Llama Stack APIs:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n port: 8321 # Port to listen on (default: 8321)\n tls_certfile: "/path/to/cert.pem" # Optional: Path to TLS certificate for HTTPS\n tls_keyfile: "/path/to/key.pem" # Optional: Path to TLS key for HTTPS\n cors: true # Optional: Enable CORS (dev mode) or full config object\n'})}),"\n",(0,r.jsx)(n.h3,{id:"cors-configuration",children:"CORS Configuration"}),"\n",(0,r.jsx)(n.p,{children:"CORS (Cross-Origin Resource Sharing) can be configured in two ways:"}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Local development"})," (allows localhost origins only):"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"server:\n cors: true\n"})}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Explicit configuration"})," (custom origins and settings):"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n cors:\n allow_origins: ["https://myapp.com", "https://app.example.com"]\n allow_methods: ["GET", "POST", "PUT", "DELETE"]\n allow_headers: ["Content-Type", "Authorization"]\n allow_credentials: true\n max_age: 3600\n'})}),"\n",(0,r.jsxs)(n.p,{children:["When ",(0,r.jsx)(n.code,{children:"cors: true"}),", the server enables secure localhost-only access for local development. For production, specify exact origins to maintain security."]}),"\n",(0,r.jsx)(n.h3,{id:"authentication-configuration",children:"Authentication Configuration"}),"\n",(0,r.jsxs)(n.blockquote,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Breaking Change (v0.2.14)"}),": The authentication configuration structure has changed. The previous format with ",(0,r.jsx)(n.code,{children:"provider_type"})," and ",(0,r.jsx)(n.code,{children:"config"})," fields has been replaced with a unified ",(0,r.jsx)(n.code,{children:"provider_config"})," field that includes the ",(0,r.jsx)(n.code,{children:"type"})," field. Update your configuration files accordingly."]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"auth"})," section configures authentication for the server. When configured, all API requests must include a valid Bearer token in the Authorization header:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"Authorization: Bearer \n"})}),"\n",(0,r.jsx)(n.p,{children:"The server supports multiple authentication providers:"}),"\n",(0,r.jsx)(n.h4,{id:"oauth-20openid-connect-provider-with-kubernetes",children:"OAuth 2.0/OpenID Connect Provider with Kubernetes"}),"\n",(0,r.jsx)(n.p,{children:"The server can be configured to use service account tokens for authorization, validating these against the Kubernetes API server, e.g.:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "oauth2_token"\n jwks:\n uri: "https://kubernetes.default.svc:8443/openid/v1/jwks"\n token: "${env.TOKEN:+}"\n key_recheck_period: 3600\n tls_cafile: "/path/to/ca.crt"\n issuer: "https://kubernetes.default.svc"\n audience: "https://kubernetes.default.svc"\n'})}),"\n",(0,r.jsx)(n.p,{children:"To find your cluster's jwks uri (from which the public key(s) to verify the token signature are obtained), run:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:"kubectl get --raw /.well-known/openid-configuration| jq -r .jwks_uri\n"})}),"\n",(0,r.jsx)(n.p,{children:"For the tls_cafile, you can use the CA certificate of the OIDC provider:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl config view --minify -o jsonpath='{.clusters[0].cluster.certificate-authority}'\n"})}),"\n",(0,r.jsx)(n.p,{children:"For the issuer, you can use the OIDC provider's URL:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl get --raw /.well-known/openid-configuration| jq .issuer\n"})}),"\n",(0,r.jsx)(n.p,{children:"The audience can be obtained from a token, e.g. run:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl create token default --duration=1h | cut -d. -f2 | base64 -d | jq .aud\n"})}),"\n",(0,r.jsx)(n.p,{children:"The jwks token is used to authorize access to the jwks endpoint. You can obtain a token by running:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl create namespace llama-stack\nkubectl create serviceaccount llama-stack-auth -n llama-stack\nkubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token\nexport TOKEN=$(cat llama-stack-auth-token)\n"})}),"\n",(0,r.jsxs)(n.p,{children:["Alternatively, you can configure the jwks endpoint to allow anonymous access. To do this, make sure\nthe ",(0,r.jsx)(n.code,{children:"kube-apiserver"})," runs with ",(0,r.jsx)(n.code,{children:"--anonymous-auth=true"})," to allow unauthenticated requests\nand that the correct RoleBinding is created to allow the service account to access the necessary\nresources. If that is not the case, you can create a RoleBinding for the service account to access\nthe necessary resources:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'# allow-anonymous-openid.yaml\napiVersion: rbac.authorization.k8s.io/v1\nkind: ClusterRole\nmetadata:\n name: allow-anonymous-openid\nrules:\n- nonResourceURLs: ["/openid/v1/jwks"]\n verbs: ["get"]\n---\napiVersion: rbac.authorization.k8s.io/v1\nkind: ClusterRoleBinding\nmetadata:\n name: allow-anonymous-openid\nroleRef:\n apiGroup: rbac.authorization.k8s.io\n kind: ClusterRole\n name: allow-anonymous-openid\nsubjects:\n- kind: User\n name: system:anonymous\n apiGroup: rbac.authorization.k8s.io\n'})}),"\n",(0,r.jsx)(n.p,{children:"And then apply the configuration:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl apply -f allow-anonymous-openid.yaml\n"})}),"\n",(0,r.jsx)(n.p,{children:"The provider extracts user information from the JWT token:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Username from the ",(0,r.jsx)(n.code,{children:"sub"})," claim becomes a role"]}),"\n",(0,r.jsx)(n.li,{children:"Kubernetes groups become teams"}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"You can easily validate a request by running:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:'curl -s -L -H "Authorization: Bearer $(cat llama-stack-auth-token)" http://127.0.0.1:8321/v1/providers\n'})}),"\n",(0,r.jsx)(n.h4,{id:"kubernetes-authentication-provider",children:"Kubernetes Authentication Provider"}),"\n",(0,r.jsx)(n.p,{children:"The server can be configured to use Kubernetes SelfSubjectReview API to validate tokens directly against the Kubernetes API server:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "kubernetes"\n api_server_url: "https://kubernetes.default.svc"\n claims_mapping:\n username: "roles"\n groups: "roles"\n uid: "uid_attr"\n verify_tls: true\n tls_cafile: "/path/to/ca.crt"\n'})}),"\n",(0,r.jsx)(n.p,{children:"Configuration options:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"api_server_url"}),": The Kubernetes API server URL (e.g., ",(0,r.jsx)(n.a,{href:"https://kubernetes.default.svc:6443",children:"https://kubernetes.default.svc:6443"}),")"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"verify_tls"}),": Whether to verify TLS certificates (default: true)"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"tls_cafile"}),": Path to CA certificate file for TLS verification"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"claims_mapping"}),": Mapping of Kubernetes user claims to access attributes"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["The provider validates tokens by sending a SelfSubjectReview request to the Kubernetes API server at ",(0,r.jsx)(n.code,{children:"/apis/authentication.k8s.io/v1/selfsubjectreviews"}),". The provider extracts user information from the response:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Username from the ",(0,r.jsx)(n.code,{children:"userInfo.username"})," field"]}),"\n",(0,r.jsxs)(n.li,{children:["Groups from the ",(0,r.jsx)(n.code,{children:"userInfo.groups"})," field"]}),"\n",(0,r.jsxs)(n.li,{children:["UID from the ",(0,r.jsx)(n.code,{children:"userInfo.uid"})," field"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"To obtain a token for testing:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"kubectl create namespace llama-stack\nkubectl create serviceaccount llama-stack-auth -n llama-stack\nkubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token\n"})}),"\n",(0,r.jsx)(n.p,{children:"You can validate a request by running:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:'curl -s -L -H "Authorization: Bearer $(cat llama-stack-auth-token)" http://127.0.0.1:8321/v1/providers\n'})}),"\n",(0,r.jsx)(n.h4,{id:"github-token-provider",children:"GitHub Token Provider"}),"\n",(0,r.jsx)(n.p,{children:"Validates GitHub personal access tokens or OAuth tokens directly:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "github_token"\n github_api_base_url: "https://api.github.com" # Or GitHub Enterprise URL\n'})}),"\n",(0,r.jsxs)(n.p,{children:["The provider fetches user information from GitHub and maps it to access attributes based on the ",(0,r.jsx)(n.code,{children:"claims_mapping"})," configuration."]}),"\n",(0,r.jsx)(n.h4,{id:"custom-provider",children:"Custom Provider"}),"\n",(0,r.jsx)(n.p,{children:"Validates tokens against a custom authentication endpoint:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "custom"\n endpoint: "https://auth.example.com/validate" # URL of the auth endpoint\n'})}),"\n",(0,r.jsx)(n.p,{children:"The custom endpoint receives a POST request with:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-json",children:'{\n "api_key": "",\n "request": {\n "path": "/api/v1/endpoint",\n "headers": {\n "content-type": "application/json",\n "user-agent": "curl/7.64.1"\n },\n "params": {\n "key": ["value"]\n }\n }\n}\n'})}),"\n",(0,r.jsx)(n.p,{children:"And must respond with:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-json",children:'{\n "access_attributes": {\n "roles": ["admin", "user"],\n "teams": ["ml-team", "nlp-team"],\n "projects": ["llama-3", "project-x"],\n "namespaces": ["research"]\n },\n "message": "Authentication successful"\n}\n'})}),"\n",(0,r.jsx)(n.p,{children:"If no access attributes are returned, the token is used as a namespace."}),"\n",(0,r.jsx)(n.h3,{id:"access-control",children:"Access control"}),"\n",(0,r.jsxs)(n.p,{children:["When authentication is enabled, access to resources is controlled\nthrough the ",(0,r.jsx)(n.code,{children:"access_policy"})," attribute of the auth config section under\nserver. The value for this is a list of access rules."]}),"\n",(0,r.jsx)(n.p,{children:"Each access rule defines a list of actions either to permit or to\nforbid. It may specify a principal or a resource that must match for\nthe rule to take effect."}),"\n",(0,r.jsx)(n.p,{children:"Valid actions are create, read, update, and delete. The resource to\nmatch should be specified in the form of a type qualified identifier,\ne.g. model::my-model or vector_db::some-db, or a wildcard for all\nresources of a type, e.g. model::*. If the principal or resource are\nnot specified, they will match all requests."}),"\n",(0,r.jsx)(n.p,{children:"The valid resource types are model, shield, vector_db, dataset,\nscoring_function, benchmark, tool, tool_group and session."}),"\n",(0,r.jsx)(n.p,{children:"A rule may also specify a condition, either a 'when' or an 'unless',\nwith additional constraints as to where the rule applies. The\nconstraints supported at present are:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["'user with ",(0,r.jsx)(n.code,{children:""})," in ",(0,r.jsx)(n.code,{children:""}),"'"]}),"\n",(0,r.jsxs)(n.li,{children:["'user with ",(0,r.jsx)(n.code,{children:""})," not in ",(0,r.jsx)(n.code,{children:""}),"'"]}),"\n",(0,r.jsx)(n.li,{children:"'user is owner'"}),"\n",(0,r.jsx)(n.li,{children:"'user is not owner'"}),"\n",(0,r.jsxs)(n.li,{children:["'user in owners ",(0,r.jsx)(n.code,{children:""}),"'"]}),"\n",(0,r.jsxs)(n.li,{children:["'user not in owners ",(0,r.jsx)(n.code,{children:""}),"'"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"The attributes defined for a user will depend on how the auth\nconfiguration is defined."}),"\n",(0,r.jsx)(n.p,{children:"When checking whether a particular action is allowed by the current\nuser for a resource, all the defined rules are tested in order to find\na match. If a match is found, the request is permitted or forbidden\ndepending on the type of rule. If no match is found, the request is\ndenied."}),"\n",(0,r.jsx)(n.p,{children:"If no explicit rules are specified, a default policy is defined with\nwhich all users can access all resources defined in config but\nresources created dynamically can only be accessed by the user that\ncreated them."}),"\n",(0,r.jsx)(n.p,{children:"Examples:"}),"\n",(0,r.jsx)(n.p,{children:"The following restricts access to particular github users:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "github_token"\n github_api_base_url: "https://api.github.com"\n access_policy:\n - permit:\n principal: user-1\n actions: [create, read, delete]\n description: user-1 has full access to all resources\n - permit:\n principal: user-2\n actions: [read]\n resource: model::model-1\n description: user-2 has read access to model-1 only\n'})}),"\n",(0,r.jsx)(n.p,{children:"Similarly, the following restricts access to particular kubernetes\nservice accounts:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n auth:\n provider_config:\n type: "oauth2_token"\n audience: https://kubernetes.default.svc.cluster.local\n issuer: https://kubernetes.default.svc.cluster.local\n tls_cafile: /home/gsim/.minikube/ca.crt\n jwks:\n uri: https://kubernetes.default.svc.cluster.local:8443/openid/v1/jwks\n token: ${env.TOKEN}\n access_policy:\n - permit:\n principal: system:serviceaccount:my-namespace:my-serviceaccount\n actions: [create, read, delete]\n description: specific serviceaccount has full access to all resources\n - permit:\n principal: system:serviceaccount:default:default\n actions: [read]\n resource: model::model-1\n description: default account has read access to model-1 only\n'})}),"\n",(0,r.jsx)(n.p,{children:"The following policy, which assumes that users are defined with roles\nand teams by whichever authentication system is in use, allows any\nuser with a valid token to use models, create resources other than\nmodels, read and delete resources they created and read resources\ncreated by users sharing a team with them:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{children:" access_policy:\n - permit:\n actions: [read]\n resource: model::*\n description: all users have read access to models\n - forbid:\n actions: [create, delete]\n resource: model::*\n unless: user with admin in roles\n description: only user with admin role can create or delete models\n - permit:\n actions: [create, read, delete]\n when: user is owner\n description: users can create resources other than models and read and delete those they own\n - permit:\n actions: [read]\n when: user in owner teams\n description: any user has read access to any resource created by a user with the same team\n"})}),"\n",(0,r.jsx)(n.h4,{id:"api-endpoint-authorization-with-scopes",children:"API Endpoint Authorization with Scopes"}),"\n",(0,r.jsx)(n.p,{children:"In addition to resource-based access control, Llama Stack supports endpoint-level authorization using OAuth 2.0 style scopes. When authentication is enabled, specific API endpoints require users to have particular scopes in their authentication token."}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Scope-Gated APIs:"}),"\nThe following APIs are currently gated by scopes:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.strong,{children:"Telemetry API"})," (scope: ",(0,r.jsx)(n.code,{children:"telemetry.read"}),"):","\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"POST /telemetry/traces"})," - Query traces"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"GET /telemetry/traces/{trace_id}"})," - Get trace by ID"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"GET /telemetry/traces/{trace_id}/spans/{span_id}"})," - Get span by ID"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"POST /telemetry/spans/{span_id}/tree"})," - Get span tree"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"POST /telemetry/spans"})," - Query spans"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"POST /telemetry/metrics/{metric_name}"})," - Query metrics"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.strong,{children:"Authentication Configuration:"})}),"\n",(0,r.jsxs)(n.p,{children:["For ",(0,r.jsx)(n.strong,{children:"JWT/OAuth2 providers"}),", scopes should be included in the JWT's claims:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-json",children:'{\n "sub": "user123",\n "scope": "telemetry.read",\n "aud": "llama-stack"\n}\n'})}),"\n",(0,r.jsxs)(n.p,{children:["For ",(0,r.jsx)(n.strong,{children:"custom authentication providers"}),", the endpoint must return user attributes including the ",(0,r.jsx)(n.code,{children:"scopes"})," array:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-json",children:'{\n "principal": "user123",\n "attributes": {\n "scopes": ["telemetry.read"]\n }\n}\n'})}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.strong,{children:"Behavior:"})}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Users without the required scope receive a 403 Forbidden response"}),"\n",(0,r.jsx)(n.li,{children:"When authentication is disabled, scope checks are bypassed"}),"\n",(0,r.jsxs)(n.li,{children:["Endpoints without ",(0,r.jsx)(n.code,{children:"required_scope"})," work normally for all authenticated users"]}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"quota-configuration",children:"Quota Configuration"}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.code,{children:"quota"})," section allows you to enable server-side request throttling for both\nauthenticated and anonymous clients. This is useful for preventing abuse, enforcing\nfairness across tenants, and controlling infrastructure costs without requiring\nclient-side rate limiting or external proxies."]}),"\n",(0,r.jsx)(n.p,{children:"Quotas are disabled by default. When enabled, each client is tracked using either:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Their authenticated ",(0,r.jsx)(n.code,{children:"client_id"})," (derived from the Bearer token), or"]}),"\n",(0,r.jsx)(n.li,{children:"Their IP address (fallback for anonymous requests)"}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["Quota state is stored in a SQLite-backed key-value store, and rate limits are applied\nwithin a configurable time window (currently only ",(0,r.jsx)(n.code,{children:"day"})," is supported)."]}),"\n",(0,r.jsx)(n.h4,{id:"example",children:"Example"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"server:\n quota:\n kvstore:\n type: sqlite\n db_path: ./quotas.db\n anonymous_max_requests: 100\n authenticated_max_requests: 1000\n period: day\n"})}),"\n",(0,r.jsx)(n.h4,{id:"configuration-options",children:"Configuration Options"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Field"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"kvstore"})}),(0,r.jsx)(n.td,{children:"Required. Backend storage config for tracking request counts."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"kvstore.type"})}),(0,r.jsxs)(n.td,{children:["Must be ",(0,r.jsx)(n.code,{children:'"sqlite"'})," for now. Other backends may be supported in the future."]})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"kvstore.db_path"})}),(0,r.jsx)(n.td,{children:"File path to the SQLite database."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"anonymous_max_requests"})}),(0,r.jsx)(n.td,{children:"Max requests per period for unauthenticated clients."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"authenticated_max_requests"})}),(0,r.jsx)(n.td,{children:"Max requests per period for authenticated clients."})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"period"})}),(0,r.jsxs)(n.td,{children:["Time window for quota enforcement. Only ",(0,r.jsx)(n.code,{children:'"day"'})," is supported."]})]})]})]}),"\n",(0,r.jsxs)(n.blockquote,{children:["\n",(0,r.jsxs)(n.p,{children:["Note: if ",(0,r.jsx)(n.code,{children:"authenticated_max_requests"})," is set but no authentication provider is\nconfigured, the server will fall back to applying ",(0,r.jsx)(n.code,{children:"anonymous_max_requests"})," to all\nclients."]}),"\n"]}),"\n",(0,r.jsx)(n.h4,{id:"example-with-authentication-enabled",children:"Example with Authentication Enabled"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"server:\n port: 8321\n auth:\n provider_config:\n type: custom\n endpoint: https://auth.example.com/validate\n quota:\n kvstore:\n type: sqlite\n db_path: ./quotas.db\n anonymous_max_requests: 100\n authenticated_max_requests: 1000\n period: day\n"})}),"\n",(0,r.jsx)(n.p,{children:"If a client exceeds their limit, the server responds with:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-http",children:'HTTP/1.1 429 Too Many Requests\nContent-Type: application/json\n\n{\n "error": {\n "message": "Quota exceeded"\n }\n}\n'})}),"\n",(0,r.jsx)(n.h3,{id:"cors-configuration-1",children:"CORS Configuration"}),"\n",(0,r.jsx)(n.p,{children:"Configure CORS to allow web browsers to make requests from different domains. Disabled by default."}),"\n",(0,r.jsx)(n.h4,{id:"quick-setup",children:"Quick Setup"}),"\n",(0,r.jsx)(n.p,{children:"For development, use the simple boolean flag:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"server:\n cors: true # Auto-enables localhost with any port\n"})}),"\n",(0,r.jsxs)(n.p,{children:["This automatically allows ",(0,r.jsx)(n.code,{children:"http://localhost:*"})," and ",(0,r.jsx)(n.code,{children:"https://localhost:*"})," with secure defaults."]}),"\n",(0,r.jsx)(n.h4,{id:"custom-configuration",children:"Custom Configuration"}),"\n",(0,r.jsx)(n.p,{children:"For specific origins and full control:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'server:\n cors:\n allow_origins: ["https://myapp.com", "https://staging.myapp.com"]\n allow_credentials: true\n allow_methods: ["GET", "POST", "PUT", "DELETE"]\n allow_headers: ["Content-Type", "Authorization"]\n allow_origin_regex: "https://.*\\\\.example\\\\.com" # Optional regex pattern\n expose_headers: ["X-Total-Count"]\n max_age: 86400\n'})}),"\n",(0,r.jsx)(n.h4,{id:"configuration-options-1",children:"Configuration Options"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Field"}),(0,r.jsx)(n.th,{children:"Description"}),(0,r.jsx)(n.th,{children:"Default"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"allow_origins"})}),(0,r.jsxs)(n.td,{children:["List of allowed origins. Use ",(0,r.jsx)(n.code,{children:'["*"]'})," for any."]}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:'["*"]'})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"allow_origin_regex"})}),(0,r.jsx)(n.td,{children:"Regex pattern for allowed origins (optional)."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"None"})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"allow_methods"})}),(0,r.jsx)(n.td,{children:"Allowed HTTP methods."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:'["*"]'})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"allow_headers"})}),(0,r.jsx)(n.td,{children:"Allowed headers."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:'["*"]'})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"allow_credentials"})}),(0,r.jsx)(n.td,{children:"Allow credentials (cookies, auth headers)."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"false"})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"expose_headers"})}),(0,r.jsx)(n.td,{children:"Headers exposed to browser."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"[]"})})]}),(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"max_age"})}),(0,r.jsx)(n.td,{children:"Preflight cache time (seconds)."}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"600"})})]})]})]}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Security Notes"}),":"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"allow_credentials: true"})," requires explicit origins (no wildcards)"]}),"\n",(0,r.jsxs)(n.li,{children:[(0,r.jsx)(n.code,{children:"cors: true"})," enables localhost access only (secure for development)"]}),"\n",(0,r.jsx)(n.li,{children:"For public APIs, always specify exact allowed origins"}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"extending-to-handle-safety",children:"Extending to handle Safety"}),"\n",(0,r.jsx)(n.p,{children:"Configuring Safety can be a little involved so it is instructive to go through an example."}),"\n",(0,r.jsxs)(n.p,{children:["The Safety API works with the associated Resource called a ",(0,r.jsx)(n.code,{children:"Shield"}),". Providers can support various kinds of Shields. Good examples include the ",(0,r.jsx)(n.a,{href:"https://ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/",children:"Llama Guard"})," system-safety models, or ",(0,r.jsx)(n.a,{href:"https://aws.amazon.com/bedrock/guardrails/",children:"Bedrock Guardrails"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"To configure a Bedrock Shield, you would need to add:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["A Safety API provider instance with type ",(0,r.jsx)(n.code,{children:"remote::bedrock"})]}),"\n",(0,r.jsx)(n.li,{children:"A Shield resource served by this provider."}),"\n"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:"...\nproviders:\n safety:\n - provider_id: bedrock\n provider_type: remote::bedrock\n config:\n aws_access_key_id: ${env.AWS_ACCESS_KEY_ID}\n aws_secret_access_key: ${env.AWS_SECRET_ACCESS_KEY}\n...\nshields:\n- provider_id: bedrock\n params:\n guardrailVersion: ${env.GUARDRAIL_VERSION}\n provider_shield_id: ${env.GUARDRAIL_ID}\n...\n"})}),"\n",(0,r.jsxs)(n.p,{children:["The situation is more involved if the Shield needs ",(0,r.jsx)(n.em,{children:"Inference"})," of an associated model. This is the case with Llama Guard. In that case, you would need to add:"]}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["A Safety API provider instance with type ",(0,r.jsx)(n.code,{children:"inline::llama-guard"})]}),"\n",(0,r.jsx)(n.li,{children:"An Inference API provider instance for serving the model."}),"\n",(0,r.jsx)(n.li,{children:"A Model resource associated with this provider."}),"\n",(0,r.jsx)(n.li,{children:"A Shield resource served by the Safety provider."}),"\n"]}),"\n",(0,r.jsx)(n.p,{children:"The yaml configuration for this setup, assuming you were using vLLM as your inference server, would look like:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-yaml",children:'...\nproviders:\n safety:\n - provider_id: llama-guard\n provider_type: inline::llama-guard\n config: {}\n inference:\n # this vLLM server serves the "normal" inference model (e.g., llama3.2:3b)\n - provider_id: vllm-0\n provider_type: remote::vllm\n config:\n url: ${env.VLLM_URL:=http://localhost:8000}\n # this vLLM server serves the llama-guard model (e.g., llama-guard:3b)\n - provider_id: vllm-1\n provider_type: remote::vllm\n config:\n url: ${env.SAFETY_VLLM_URL:=http://localhost:8001}\n...\nmodels:\n- metadata: {}\n model_id: ${env.INFERENCE_MODEL}\n provider_id: vllm-0\n provider_model_id: null\n- metadata: {}\n model_id: ${env.SAFETY_MODEL}\n provider_id: vllm-1\n provider_model_id: null\nshields:\n- provider_id: llama-guard\n shield_id: ${env.SAFETY_MODEL} # Llama Guard shields are identified by the corresponding LlamaGuard model\n provider_shield_id: null\n...\n'})})]})}function h(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(d,{...e})}):d(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/9fcb5aa9.c05e4090.js b/docs/v0.3.0/assets/js/9fcb5aa9.c05e4090.js new file mode 100644 index 00000000..63e1b630 --- /dev/null +++ b/docs/v0.3.0/assets/js/9fcb5aa9.c05e4090.js @@ 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",(0,i.jsx)(n.code,{children:"http://0.0.0.0:8282"}),")"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"CHROMA_URL"}),": URL for the Chroma server (default: ",(0,i.jsx)(n.code,{children:"http://localhost:6601"}),")"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"INFERENCE_MODEL"}),": Inference model loaded into the TGI server (default: ",(0,i.jsx)(n.code,{children:"meta-llama/Llama-3.2-3B-Instruct"}),")"]}),"\n",(0,i.jsxs)(n.li,{children:[(0,i.jsx)(n.code,{children:"SAFETY_MODEL"}),": Name of the safety (Llama-Guard) model to use (default: ",(0,i.jsx)(n.code,{children:"meta-llama/Llama-Guard-3-1B"}),")"]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"setting-up-inference-server-using-dell-enterprise-hubs-custom-tgi-container",children:"Setting up Inference server using Dell Enterprise Hub's custom TGI container."}),"\n",(0,i.jsxs)(n.p,{children:["NOTE: This is a placeholder to run inference with TGI. This will be updated to use ",(0,i.jsx)(n.a,{href:"https://dell.huggingface.co/authenticated/models",children:"Dell Enterprise Hub's containers"})," once verified."]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"export INFERENCE_PORT=8181\nexport DEH_URL=http://0.0.0.0:$INFERENCE_PORT\nexport INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct\nexport CHROMADB_HOST=localhost\nexport CHROMADB_PORT=6601\nexport CHROMA_URL=http://$CHROMADB_HOST:$CHROMADB_PORT\nexport CUDA_VISIBLE_DEVICES=0\nexport LLAMA_STACK_PORT=8321\n\ndocker run --rm -it \\\n --pull always \\\n --network host \\\n -v $HOME/.cache/huggingface:/data \\\n -e HF_TOKEN=$HF_TOKEN \\\n -p $INFERENCE_PORT:$INFERENCE_PORT \\\n --gpus $CUDA_VISIBLE_DEVICES \\\n ghcr.io/huggingface/text-generation-inference \\\n --dtype bfloat16 \\\n --usage-stats off \\\n --sharded false \\\n --cuda-memory-fraction 0.7 \\\n --model-id $INFERENCE_MODEL \\\n --port $INFERENCE_PORT --hostname 0.0.0.0\n"})}),"\n",(0,i.jsxs)(n.p,{children:["If you are using Llama Stack Safety / Shield APIs, then you will need to also run another instance of a TGI with a corresponding safety model like ",(0,i.jsx)(n.code,{children:"meta-llama/Llama-Guard-3-1B"})," using a script like:"]}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"export SAFETY_INFERENCE_PORT=8282\nexport DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT\nexport SAFETY_MODEL=meta-llama/Llama-Guard-3-1B\nexport CUDA_VISIBLE_DEVICES=1\n\ndocker run --rm -it \\\n --pull always \\\n --network host \\\n -v $HOME/.cache/huggingface:/data \\\n -e HF_TOKEN=$HF_TOKEN \\\n -p $SAFETY_INFERENCE_PORT:$SAFETY_INFERENCE_PORT \\\n --gpus $CUDA_VISIBLE_DEVICES \\\n ghcr.io/huggingface/text-generation-inference \\\n --dtype bfloat16 \\\n --usage-stats off \\\n --sharded false \\\n --cuda-memory-fraction 0.7 \\\n --model-id $SAFETY_MODEL \\\n --hostname 0.0.0.0 \\\n --port $SAFETY_INFERENCE_PORT\n"})}),"\n",(0,i.jsx)(n.h2,{id:"dell-distribution-relies-on-chromadb-for-vector-database-usage",children:"Dell distribution relies on ChromaDB for vector database usage"}),"\n",(0,i.jsx)(n.p,{children:"You can start a chroma-db easily using docker."}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"# This is where the indices are persisted\nmkdir -p $HOME/chromadb\n\ndocker run --rm -it \\\n --network host \\\n --name chromadb \\\n -v $HOME/chromadb:/chroma/chroma \\\n -e IS_PERSISTENT=TRUE \\\n chromadb/chroma:latest \\\n --port $CHROMADB_PORT \\\n --host $CHROMADB_HOST\n"})}),"\n",(0,i.jsx)(n.h2,{id:"running-llama-stack",children:"Running Llama Stack"}),"\n",(0,i.jsx)(n.p,{children:"Now you are ready to run Llama Stack with TGI as the inference provider. You can do this via venv or Docker which has a pre-built image."}),"\n",(0,i.jsx)(n.h3,{id:"via-docker",children:"Via Docker"}),"\n",(0,i.jsx)(n.p,{children:"This method allows you to get started quickly without having to build the distribution code."}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"docker run -it \\\n --pull always \\\n --network host \\\n -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\\n -v $HOME/.llama:/root/.llama \\\n # NOTE: mount the llama-stack / llama-model directories if testing local changes else not needed\n -v $HOME/git/llama-stack:/app/llama-stack-source -v $HOME/git/llama-models:/app/llama-models-source \\\n # localhost/distribution-dell:dev if building / testing locally\n -e INFERENCE_MODEL=$INFERENCE_MODEL \\\n -e DEH_URL=$DEH_URL \\\n -e CHROMA_URL=$CHROMA_URL \\\n llamastack/distribution-dell \\\n --port $LLAMA_STACK_PORT\n\n"})}),"\n",(0,i.jsx)(n.p,{children:"If you are using Llama Stack Safety / Shield APIs, use:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"# You need a local checkout of llama-stack to run this, get it using\n# git clone https://github.com/meta-llama/llama-stack.git\ncd /path/to/llama-stack\n\nexport SAFETY_INFERENCE_PORT=8282\nexport DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT\nexport SAFETY_MODEL=meta-llama/Llama-Guard-3-1B\n\ndocker run \\\n -it \\\n --pull always \\\n -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\\n -v $HOME/.llama:/root/.llama \\\n -v ./llama_stack/distributions/tgi/run-with-safety.yaml:/root/my-run.yaml \\\n -e INFERENCE_MODEL=$INFERENCE_MODEL \\\n -e DEH_URL=$DEH_URL \\\n -e SAFETY_MODEL=$SAFETY_MODEL \\\n -e DEH_SAFETY_URL=$DEH_SAFETY_URL \\\n -e CHROMA_URL=$CHROMA_URL \\\n llamastack/distribution-dell \\\n --config /root/my-run.yaml \\\n --port $LLAMA_STACK_PORT\n"})}),"\n",(0,i.jsx)(n.h3,{id:"via-venv",children:"Via venv"}),"\n",(0,i.jsx)(n.p,{children:"Install the distribution dependencies before launching:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"llama stack list-deps dell | xargs -L1 uv pip install\nINFERENCE_MODEL=$INFERENCE_MODEL \\\nDEH_URL=$DEH_URL \\\nCHROMA_URL=$CHROMA_URL \\\nllama stack run dell \\\n --port $LLAMA_STACK_PORT\n"})}),"\n",(0,i.jsx)(n.p,{children:"If you are using Llama Stack Safety / Shield APIs, use:"}),"\n",(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-bash",children:"INFERENCE_MODEL=$INFERENCE_MODEL \\\nDEH_URL=$DEH_URL \\\nSAFETY_MODEL=$SAFETY_MODEL \\\nDEH_SAFETY_URL=$DEH_SAFETY_URL \\\nCHROMA_URL=$CHROMA_URL \\\nllama stack run ./run-with-safety.yaml \\\n --port $LLAMA_STACK_PORT\n"})})]})}function h(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(c,{...e})}):c(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/b469d43d.4147aa9f.js b/docs/v0.3.0/assets/js/b469d43d.4147aa9f.js new file mode 100644 index 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model.",deprecated:!0},tool_prompt_format:{type:"string",enum:["json","function_tag","python_list"],title:"ToolPromptFormat",description:"Prompt format for calling custom / zero shot tools.",deprecated:!0},tool_config:{type:"object",properties:{tool_choice:{oneOf:[{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model."},{type:"string"}],default:"auto",description:"(Optional) Whether tool use is automatic, required, or none. Can also specify a tool name to use a specific tool. Defaults to ToolChoice.auto."},tool_prompt_format:{type:"string",enum:["json","function_tag","python_list"],description:"(Optional) Instructs the model how to format tool calls. By default, Llama Stack will attempt to use a format that is best adapted to the model. - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python syntax -- a list of function calls."},system_message_behavior:{type:"string",enum:["append","replace"],description:"(Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: Replaces the default system prompt with the provided system message. The system message can include the string '{{function_definitions}}' to indicate where the function definitions should be inserted.",default:"append"}},additionalProperties:!1,title:"ToolConfig",description:"Configuration for tool use."},max_infer_iters:{type:"integer",default:10},model:{type:"string",description:"The model identifier to use for the agent"},instructions:{type:"string",description:"The system instructions for the agent"},name:{type:"string",description:"Optional name for the agent, used in telemetry and identification"},enable_session_persistence:{type:"boolean",default:!1,description:"Optional flag indicating whether session data has to be persisted"},response_format:{description:"Optional response format configuration",oneOf:[{type:"object",properties:{type:{type:"string",enum:["json_schema","grammar"],description:'Must be "json_schema" to identify this format type',const:"json_schema",default:"json_schema"},json_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"The JSON schema the response should conform to. In a Python SDK, this is often a `pydantic` model."}},additionalProperties:!1,required:["type","json_schema"],title:"JsonSchemaResponseFormat",description:"Configuration for JSON schema-guided response generation."},{type:"object",properties:{type:{type:"string",enum:["json_schema","grammar"],description:'Must be "grammar" to identify this format type',const:"grammar",default:"grammar"},bnf:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"The BNF grammar specification the response should conform to"}},additionalProperties:!1,required:["type","bnf"],title:"GrammarResponseFormat",description:"Configuration for grammar-guided response generation."}],discriminator:{propertyName:"type",mapping:{json_schema:{type:"object",properties:{type:{type:"string",enum:["json_schema","grammar"],description:'Must be "json_schema" to identify this format type',const:"json_schema",default:"json_schema"},json_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"The JSON schema the response should conform to. In a Python SDK, this is often a `pydantic` model."}},additionalProperties:!1,required:["type","json_schema"],title:"JsonSchemaResponseFormat",description:"Configuration for JSON schema-guided response generation."},grammar:{type:"object",properties:{type:{type:"string",enum:["json_schema","grammar"],description:'Must be "grammar" to identify this format type',const:"grammar",default:"grammar"},bnf:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"The BNF grammar specification the response should conform to"}},additionalProperties:!1,required:["type","bnf"],title:"GrammarResponseFormat",description:"Configuration for grammar-guided response generation."}}},title:"ResponseFormat"}},additionalProperties:!1,required:["model","instructions"],title:"AgentConfig"},created_at:{type:"string",format:"date-time",description:"Timestamp when the agent was created"}},additionalProperties:!1,required:["agent_id","agent_config","created_at"],title:"Agent",description:"An agent instance with configuration and metadata."}}}},400:{description:"The request was invalid or malformed",content:{"application/json":{schema:{type:"object",properties:{status:{type:"integer",description:"HTTP status code"},title:{type:"string",description:"Error title, a short summary of the error which is invariant for an error type"},detail:{type:"string",description:"Error detail, a longer human-readable description of the error"},instance:{type:"string",description:"(Optional) A URL which can be used to retrieve more information about the specific occurrence of the error"}},additionalProperties:!1,required:["status","title","detail"],title:"Error",description:"Error response from the API. 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Please try again later."}}}},500:{description:"The server encountered an unexpected error",content:{"application/json":{schema:{type:"object",properties:{status:{type:"integer",description:"HTTP status code"},title:{type:"string",description:"Error title, a short summary of the error which is invariant for an error type"},detail:{type:"string",description:"Error detail, a longer human-readable description of the error"},instance:{type:"string",description:"(Optional) A URL which can be used to retrieve more information about the specific occurrence of the error"}},additionalProperties:!1,required:["status","title","detail"],title:"Error",description:"Error response from the API. Roughly follows RFC 7807."},example:{status:500,title:"Internal Server Error",detail:"An unexpected error occurred. Our team has been notified."}}}},default:{description:"An unexpected error occurred",content:{"application/json":{schema:{type:"object",properties:{status:{type:"integer",description:"HTTP status code"},title:{type:"string",description:"Error title, a short summary of the error which is invariant for an error type"},detail:{type:"string",description:"Error detail, a longer human-readable description of the error"},instance:{type:"string",description:"(Optional) A URL which can be used to retrieve more information about the specific occurrence of the error"}},additionalProperties:!1,required:["status","title","detail"],title:"Error",description:"Error response from the API. 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Research and Analysis with Safety Controls",id:"1-research-and-analysis-with-safety-controls",level:3},{value:"2. Dynamic Information Gathering with Branching Exploration",id:"2-dynamic-information-gathering-with-branching-exploration",level:3},{value:"3. OpenAI Migration with Advanced Tool Capabilities",id:"3-openai-migration-with-advanced-tool-capabilities",level:3},{value:"4. Educational Programming Tutor",id:"4-educational-programming-tutor",level:3},{value:"5. Advanced Software Debugging Assistant",id:"5-advanced-software-debugging-assistant",level:3},{value:"Decision Framework",id:"decision-framework",level:2},{value:"Choose Agents API when:",id:"choose-agents-api-when",level:3},{value:"Choose Responses API when:",id:"choose-responses-api-when",level:3},{value:"Related Resources",id:"related-resources",level:2}];function p(e){const n={a:"a",admonition:"admonition",code:"code",h1:"h1",h2:"h2",h3:"h3",header:"header",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,a.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(n.header,{children:(0,i.jsx)(n.h1,{id:"agents-vs-openai-responses-api",children:"Agents vs OpenAI Responses API"})}),"\n",(0,i.jsxs)(n.p,{children:["Llama Stack (LLS) provides two different APIs for building AI applications with tool calling capabilities: the ",(0,i.jsx)(n.strong,{children:"Agents API"})," and the ",(0,i.jsx)(n.strong,{children:"OpenAI Responses API"}),". While both enable AI systems to use tools, and maintain full conversation history, they serve different use cases and have distinct characteristics."]}),"\n",(0,i.jsx)(n.admonition,{type:"note",children:(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Note:"})," For simple and basic inferencing, you may want to use the ",(0,i.jsx)(n.a,{href:"../providers/openai#chat-completions",children:"Chat Completions API"})," directly, before progressing to Agents or Responses API."]})}),"\n",(0,i.jsx)(n.h2,{id:"overview",children:"Overview"}),"\n",(0,i.jsx)(n.h3,{id:"lls-agents-api",children:"LLS Agents API"}),"\n",(0,i.jsx)(n.p,{children:"The Agents API is a full-featured, stateful system designed for complex, multi-turn conversations. It maintains conversation state through persistent sessions identified by a unique session ID. The API supports comprehensive agent lifecycle management, detailed execution tracking, and rich metadata about each interaction through a structured session/turn/step hierarchy. The API can orchestrate multiple tool calls within a single turn."}),"\n",(0,i.jsx)(n.h3,{id:"openai-responses-api",children:"OpenAI Responses API"}),"\n",(0,i.jsxs)(n.p,{children:["The OpenAI Responses API is a full-featured, stateful system designed for complex, multi-turn conversations, with direct compatibility with OpenAI's conversational patterns enhanced by LLama Stack's tool calling capabilities. It maintains conversation state by chaining responses through a ",(0,i.jsx)(n.code,{children:"previous_response_id"}),", allowing interactions to branch or continue from any prior point. Each response can perform multiple tool calls within a single turn."]}),"\n",(0,i.jsx)(n.h3,{id:"key-differences",children:"Key Differences"}),"\n",(0,i.jsxs)(n.p,{children:["The LLS Agents API uses the Chat Completions API on the backend for inference as it's the industry standard for building AI applications and most LLM providers are compatible with this API. For a detailed comparison between Responses and Chat Completions, see ",(0,i.jsx)(n.a,{href:"https://platform.openai.com/docs/guides/responses-vs-chat-completions",children:"OpenAI's documentation"}),"."]}),"\n",(0,i.jsx)(n.p,{children:"Additionally, Agents let you specify input/output shields whereas Responses do not (though support is planned). Agents use a linear conversation model referenced by a single session ID. Responses, on the other hand, support branching, where each response can serve as a fork point, and conversations are tracked by the latest response ID. Responses also lets you dynamically choose the model, vector store, files, MCP servers, and more on each inference call, enabling more complex workflows. Agents require a static configuration for these components at the start of the session."}),"\n",(0,i.jsx)(n.p,{children:"Today the Agents and Responses APIs can be used independently depending on the use case. But, it is also productive to treat the APIs as complementary. It is not currently supported, but it is planned for the LLS Agents API to alternatively use the Responses API as its backend instead of the default Chat Completions API, i.e., enabling a combination of the safety features of Agents with the dynamic configuration and branching capabilities of Responses."}),"\n",(0,i.jsx)(n.h2,{id:"feature-comparison",children:"Feature Comparison"}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Feature"}),(0,i.jsx)(n.th,{children:"LLS Agents API"}),(0,i.jsx)(n.th,{children:"OpenAI Responses API"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Conversation Management"})}),(0,i.jsx)(n.td,{children:"Linear persistent sessions"}),(0,i.jsx)(n.td,{children:"Can branch from any previous response ID"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Input/Output Safety Shields"})}),(0,i.jsx)(n.td,{children:"Supported"}),(0,i.jsx)(n.td,{children:"Not yet supported"})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.strong,{children:"Per-call Flexibility"})}),(0,i.jsx)(n.td,{children:"Static per-session configuration"}),(0,i.jsx)(n.td,{children:"Dynamic per-call configuration"})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"use-case-example-research-with-multiple-search-methods",children:"Use Case Example: Research with Multiple Search Methods"}),"\n",(0,i.jsx)(n.p,{children:"Let's compare how both APIs handle a research task where we need to:"}),"\n",(0,i.jsxs)(n.ol,{children:["\n",(0,i.jsx)(n.li,{children:"Search for current information and examples"}),"\n",(0,i.jsx)(n.li,{children:"Access different information sources dynamically"}),"\n",(0,i.jsx)(n.li,{children:"Continue the conversation based on search results"}),"\n"]}),"\n",(0,i.jsxs)(o.A,{children:[(0,i.jsxs)(r.default,{value:"agents",label:"Agents API",children:[(0,i.jsx)(n.h3,{id:"session-based-configuration-with-safety-shields",children:"Session-based Configuration with Safety Shields"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-python",children:'# Create agent with static session configuration\nagent = Agent(\n client,\n model="Llama3.2-3B-Instruct",\n instructions="You are a helpful coding assistant",\n tools=[\n {\n "name": "builtin::rag/knowledge_search",\n "args": {"vector_db_ids": ["code_docs"]},\n },\n "builtin::code_interpreter",\n ],\n input_shields=["llama_guard"],\n output_shields=["llama_guard"],\n)\n\nsession_id = agent.create_session("code_session")\n\n# First turn: Search and execute\nresponse1 = agent.create_turn(\n messages=[\n {\n "role": "user",\n "content": "Find examples of sorting algorithms and run a bubble sort on [3,1,4,1,5]",\n },\n ],\n session_id=session_id,\n)\n\n# Continue conversation in same session\nresponse2 = agent.create_turn(\n messages=[\n {\n "role": "user",\n "content": "Now optimize that code and test it with a larger dataset",\n },\n ],\n session_id=session_id, # Same session, maintains full context\n)\n\n# Agents API benefits:\n# \u2705 Safety shields protect against malicious code execution\n# \u2705 Session maintains context between code executions\n# \u2705 Consistent tool configuration throughout conversation\nprint(f"First result: {response1.output_message.content}")\nprint(f"Optimization: {response2.output_message.content}")\n'})})]}),(0,i.jsxs)(r.default,{value:"responses",label:"Responses API",children:[(0,i.jsx)(n.h3,{id:"dynamic-per-call-configuration-with-branching",children:"Dynamic Per-call Configuration with Branching"}),(0,i.jsx)(n.pre,{children:(0,i.jsx)(n.code,{className:"language-python",children:'# First response: Use web search for latest algorithms\nresponse1 = client.responses.create(\n model="Llama3.2-3B-Instruct",\n input="Search for the latest efficient sorting algorithms and their performance comparisons",\n tools=[\n {\n "type": "web_search",\n },\n ], # Web search for current information\n)\n\n# Continue conversation: Switch to file search for local docs\nresponse2 = client.responses.create(\n model="Llama3.2-1B-Instruct", # Switch to faster model\n input="Now search my uploaded files for existing sorting implementations",\n tools=[\n { # Using Responses API built-in tools\n "type": "file_search",\n "vector_store_ids": ["vs_abc123"], # Vector store containing uploaded files\n },\n ],\n previous_response_id=response1.id,\n)\n\n# Branch from first response: Try different search approach\nresponse3 = client.responses.create(\n model="Llama3.2-3B-Instruct",\n input="Instead, search the web for Python-specific sorting best practices",\n tools=[{"type": "web_search"}], # Different web search query\n previous_response_id=response1.id, # Branch from response1\n)\n\n# Responses API benefits:\n# \u2705 Dynamic tool switching (web search \u2194 file search per call)\n# \u2705 OpenAI-compatible tool patterns (web_search, file_search)\n# \u2705 Branch conversations to explore different information sources\n# \u2705 Model flexibility per search type\nprint(f"Web search results: {response1.output_message.content}")\nprint(f"File search results: {response2.output_message.content}")\nprint(f"Alternative web search: {response3.output_message.content}")\n'})})]})]}),"\n",(0,i.jsx)(n.p,{children:"Both APIs demonstrate distinct strengths that make them valuable on their own for different scenarios. The Agents API excels in providing structured, safety-conscious workflows with persistent session management, while the Responses API offers flexibility through dynamic configuration and OpenAI compatible tool patterns."}),"\n",(0,i.jsx)(n.h2,{id:"use-case-examples",children:"Use Case Examples"}),"\n",(0,i.jsx)(n.h3,{id:"1-research-and-analysis-with-safety-controls",children:"1. Research and Analysis with Safety Controls"}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Best Choice: Agents API"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Scenario:"})," You're building a research assistant for a financial institution that needs to analyze market data, execute code to process financial models, and search through internal compliance documents. The system must ensure all interactions are logged for regulatory compliance and protected by safety shields to prevent malicious code execution or data leaks."]}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Why Agents API?"})," The Agents API provides persistent session management for iterative research workflows, built-in safety shields to protect against malicious code in financial models, and structured execution logs (session/turn/step) required for regulatory compliance. The static tool configuration ensures consistent access to your knowledge base and code interpreter throughout the entire research session."]}),"\n",(0,i.jsx)(n.h3,{id:"2-dynamic-information-gathering-with-branching-exploration",children:"2. 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Dynamic per-call configuration allows switching between web search and file search as needed, while experimenting with different models (faster models for quick searches, more powerful models for deep analysis). The OpenAI-compatible tool patterns make integration straightforward."]}),"\n",(0,i.jsx)(n.h3,{id:"3-openai-migration-with-advanced-tool-capabilities",children:"3. OpenAI Migration with Advanced Tool Capabilities"}),"\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Best Choice: Responses API"})}),"\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Scenario:"})," You have an existing application built with OpenAI's Assistants API that uses file search and web search capabilities. 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",sidebar_class_name:"post 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create_http_client()\n\n# Example Dataset\nclient.datasets.register(\n purpose="post-training/messages",\n source={\n "type": "uri",\n "uri": "huggingface://datasets/llamastack/simpleqa?split=train",\n },\n dataset_id="simpleqa",\n)\n\ntraining_config = post_training_supervised_fine_tune_params.TrainingConfig(\n data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig(\n batch_size=32,\n data_format="instruct",\n dataset_id="simpleqa",\n shuffle=True,\n ),\n gradient_accumulation_steps=1,\n max_steps_per_epoch=0,\n max_validation_steps=1,\n n_epochs=4,\n)\n\nalgorithm_config = algorithm_config_param.LoraFinetuningConfig(\n alpha=1,\n apply_lora_to_mlp=True,\n apply_lora_to_output=False,\n lora_attn_modules=["q_proj"],\n rank=1,\n type="LoRA",\n)\n\njob_uuid = f"test-job{uuid.uuid4()}"\n\n# Example Model\ntraining_model = "ibm-granite/granite-3.3-8b-instruct"\n\nstart_time = time.time()\nresponse = client.post_training.supervised_fine_tune(\n job_uuid=job_uuid,\n logger_config={},\n model=training_model,\n hyperparam_search_config={},\n training_config=training_config,\n algorithm_config=algorithm_config,\n checkpoint_dir="output",\n)\nprint("Job: ", job_uuid)\n\n# Wait for the job to complete!\nwhile True:\n status = client.post_training.job.status(job_uuid=job_uuid)\n if not status:\n print("Job not found")\n break\n\n print(status)\n if status.status == "completed":\n break\n\n print("Waiting for job to complete...")\n time.sleep(5)\n\nend_time = time.time()\nprint("Job completed in", end_time - start_time, "seconds!")\n\nprint("Artifacts:")\nprint(client.post_training.job.artifacts(job_uuid=job_uuid))\n'})}),"\n",(0,r.jsx)(n.h2,{id:"torchtune",children:"TorchTune"}),"\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"https://github.com/pytorch/torchtune",children:"TorchTune"})," is an inline post training provider for Llama Stack. It provides a simple and efficient way to fine-tune language models using PyTorch."]}),"\n",(0,r.jsx)(n.h3,{id:"features-1",children:"Features"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsx)(n.li,{children:"Simple access through the post_training API"}),"\n",(0,r.jsx)(n.li,{children:"Fully integrated with Llama Stack"}),"\n",(0,r.jsx)(n.li,{children:"GPU support and single device capabilities"}),"\n",(0,r.jsx)(n.li,{children:"Support for LoRA"}),"\n"]}),"\n",(0,r.jsx)(n.h3,{id:"configuration-1",children:"Configuration"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Field"}),(0,r.jsx)(n.th,{children:"Type"}),(0,r.jsx)(n.th,{children:"Required"}),(0,r.jsx)(n.th,{children:"Default"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"torch_seed"})}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"int | 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this provider."}),"\n",(0,r.jsx)(n.h3,{id:"usage-example-1",children:"Usage Example"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-python",children:'import time\nimport uuid\n\nfrom llama_stack_client.types import (\n post_training_supervised_fine_tune_params,\n algorithm_config_param,\n)\n\ndef create_http_client():\n from llama_stack_client import LlamaStackClient\n return LlamaStackClient(base_url="http://localhost:8321")\n\nclient = create_http_client()\n\n# Example Dataset\nclient.datasets.register(\n purpose="post-training/messages",\n source={\n "type": "uri",\n "uri": "huggingface://datasets/llamastack/simpleqa?split=train",\n },\n dataset_id="simpleqa",\n)\n\ntraining_config = post_training_supervised_fine_tune_params.TrainingConfig(\n data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig(\n batch_size=32,\n data_format="instruct",\n dataset_id="simpleqa",\n shuffle=True,\n ),\n gradient_accumulation_steps=1,\n max_steps_per_epoch=0,\n max_validation_steps=1,\n n_epochs=4,\n)\n\nalgorithm_config = algorithm_config_param.LoraFinetuningConfig(\n alpha=1,\n apply_lora_to_mlp=True,\n apply_lora_to_output=False,\n lora_attn_modules=["q_proj"],\n rank=1,\n type="LoRA",\n)\n\njob_uuid = f"test-job{uuid.uuid4()}"\n\n# Example Model\ntraining_model = "meta-llama/Llama-2-7b-hf"\n\nstart_time = time.time()\nresponse = client.post_training.supervised_fine_tune(\n job_uuid=job_uuid,\n logger_config={},\n model=training_model,\n hyperparam_search_config={},\n training_config=training_config,\n algorithm_config=algorithm_config,\n checkpoint_dir="output",\n)\nprint("Job: ", job_uuid)\n\n# Wait for the job to complete!\nwhile True:\n status = client.post_training.job.status(job_uuid=job_uuid)\n if not status:\n print("Job not found")\n break\n\n print(status)\n if status.status == "completed":\n break\n\n print("Waiting for job to complete...")\n time.sleep(5)\n\nend_time = time.time()\nprint("Job completed in", end_time - start_time, "seconds!")\n\nprint("Artifacts:")\nprint(client.post_training.job.artifacts(job_uuid=job_uuid))\n'})}),"\n",(0,r.jsx)(n.h2,{id:"nvidia",children:"NVIDIA"}),"\n",(0,r.jsx)(n.p,{children:"NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform."}),"\n",(0,r.jsx)(n.h3,{id:"configuration-2",children:"Configuration"}),"\n",(0,r.jsxs)(n.table,{children:[(0,r.jsx)(n.thead,{children:(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.th,{children:"Field"}),(0,r.jsx)(n.th,{children:"Type"}),(0,r.jsx)(n.th,{children:"Required"}),(0,r.jsx)(n.th,{children:"Default"}),(0,r.jsx)(n.th,{children:"Description"})]})}),(0,r.jsxs)(n.tbody,{children:[(0,r.jsxs)(n.tr,{children:[(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"api_key"})}),(0,r.jsx)(n.td,{children:(0,r.jsx)(n.code,{children:"str | None"})}),(0,r.jsx)(n.td,{children:"No"}),(0,r.jsx)(n.td,{}),(0,r.jsx)(n.td,{children:"The NVIDIA API 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",(0,t.jsx)(i.code,{children:"Llama3.1-8B-Instruct"}),")"]}),"\n",(0,t.jsxs)(i.li,{children:[(0,t.jsx)(i.code,{children:"SAFETY_MODEL"}),": Name of the model to use for safety (default: ",(0,t.jsx)(i.code,{children:"meta/llama-3.1-8b-instruct"}),")"]}),"\n"]}),"\n",(0,t.jsx)(i.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,t.jsx)(i.h3,{id:"nvidia-api-keys",children:"NVIDIA API Keys"}),"\n",(0,t.jsxs)(i.p,{children:["Make sure you have access to a NVIDIA API Key. You can get one by visiting ",(0,t.jsx)(i.a,{href:"https://build.nvidia.com/",children:"https://build.nvidia.com/"}),". Use this key for the ",(0,t.jsx)(i.code,{children:"NVIDIA_API_KEY"})," environment variable."]}),"\n",(0,t.jsx)(i.h3,{id:"deploy-nemo-microservices-platform",children:"Deploy NeMo Microservices Platform"}),"\n",(0,t.jsxs)(i.p,{children:["The NVIDIA NeMo microservices platform supports end-to-end microservice deployment of a complete AI flywheel on your Kubernetes cluster through the NeMo Microservices Helm Chart. Please reference the ",(0,t.jsx)(i.a,{href:"https://docs.nvidia.com/nemo/microservices/latest/about/index.html",children:"NVIDIA NeMo Microservices documentation"})," for platform prerequisites and instructions to install and deploy the platform."]}),"\n",(0,t.jsx)(i.h2,{id:"supported-services",children:"Supported Services"}),"\n",(0,t.jsx)(i.p,{children:"Each Llama Stack API corresponds to a specific NeMo microservice. The core microservices (Customizer, Evaluator, Guardrails) are exposed by the same endpoint. The platform components (Data Store) are each exposed by separate endpoints."}),"\n",(0,t.jsx)(i.h3,{id:"inference-nvidia-nim",children:"Inference: NVIDIA NIM"}),"\n",(0,t.jsx)(i.p,{children:"NVIDIA NIM is used for running inference with registered models. There are two ways to access NVIDIA NIMs:"}),"\n",(0,t.jsxs)(i.ol,{children:["\n",(0,t.jsxs)(i.li,{children:["Hosted (default): Preview APIs hosted at ",(0,t.jsx)(i.a,{href:"https://integrate.api.nvidia.com",children:"https://integrate.api.nvidia.com"})," (Requires an API key)"]}),"\n",(0,t.jsx)(i.li,{children:"Self-hosted: NVIDIA NIMs that run on your own infrastructure."}),"\n"]}),"\n",(0,t.jsxs)(i.p,{children:["The deployed platform includes the NIM Proxy microservice, which is the service that provides to access your NIMs (for example, to run inference on a model). Set the ",(0,t.jsx)(i.code,{children:"NVIDIA_BASE_URL"})," environment variable to use your NVIDIA NIM Proxy deployment."]}),"\n",(0,t.jsx)(i.h3,{id:"datasetio-api-nemo-data-store",children:"Datasetio API: NeMo Data Store"}),"\n",(0,t.jsxs)(i.p,{children:["The NeMo Data Store microservice serves as the default file storage solution for the NeMo microservices platform. It exposts APIs compatible with the Hugging Face Hub client (",(0,t.jsx)(i.code,{children:"HfApi"}),"), so you can use the client to interact with Data Store. The ",(0,t.jsx)(i.code,{children:"NVIDIA_DATASETS_URL"})," environment variable should point to your NeMo Data Store endpoint."]}),"\n",(0,t.jsxs)(i.p,{children:["See the ",(0,t.jsx)(i.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/datasetio/nvidia/README.md",children:"NVIDIA Datasetio docs"})," for supported features and example usage."]}),"\n",(0,t.jsx)(i.h3,{id:"eval-api-nemo-evaluator",children:"Eval API: NeMo Evaluator"}),"\n",(0,t.jsxs)(i.p,{children:["The NeMo Evaluator microservice supports evaluation of LLMs. Launching an Evaluation job with NeMo Evaluator requires an Evaluation Config (an object that contains metadata needed by the job). A Llama Stack Benchmark maps to an Evaluation Config, so registering a Benchmark creates an Evaluation Config in NeMo Evaluator. The ",(0,t.jsx)(i.code,{children:"NVIDIA_EVALUATOR_URL"})," environment variable should point to your NeMo Microservices endpoint."]}),"\n",(0,t.jsxs)(i.p,{children:["See the ",(0,t.jsx)(i.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/eval/nvidia/README.md",children:"NVIDIA Eval docs"})," for supported features and example usage."]}),"\n",(0,t.jsx)(i.h3,{id:"post-training-api-nemo-customizer",children:"Post-Training API: NeMo Customizer"}),"\n",(0,t.jsxs)(i.p,{children:["The NeMo Customizer microservice supports fine-tuning models. You can reference ",(0,t.jsx)(i.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/post_training/nvidia/models.py",children:"this list of supported models"})," that can be fine-tuned using Llama Stack. The ",(0,t.jsx)(i.code,{children:"NVIDIA_CUSTOMIZER_URL"})," environment variable should point to your NeMo Microservices endpoint."]}),"\n",(0,t.jsxs)(i.p,{children:["See the ",(0,t.jsx)(i.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/post_training/nvidia/README.md",children:"NVIDIA Post-Training docs"})," for supported features and example usage."]}),"\n",(0,t.jsx)(i.h3,{id:"safety-api-nemo-guardrails",children:"Safety API: NeMo Guardrails"}),"\n",(0,t.jsxs)(i.p,{children:["The NeMo Guardrails microservice sits between your application and the LLM, and adds checks and content moderation to a model. The ",(0,t.jsx)(i.code,{children:"GUARDRAILS_SERVICE_URL"})," environment variable should point to your NeMo Microservices endpoint."]}),"\n",(0,t.jsxs)(i.p,{children:["See the ",(0,t.jsx)(i.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/safety/nvidia/README.md",children:"NVIDIA Safety docs"})," for supported features and example usage."]}),"\n",(0,t.jsx)(i.h2,{id:"deploying-models",children:"Deploying models"}),"\n",(0,t.jsxs)(i.p,{children:["In order to use a registered model with the Llama Stack APIs, ensure the corresponding NIM is deployed to your environment. For example, you can use the NIM Proxy microservice to deploy ",(0,t.jsx)(i.code,{children:"meta/llama-3.2-1b-instruct"}),"."]}),"\n",(0,t.jsxs)(i.p,{children:["Note: For improved inference speeds, we need to use NIM with ",(0,t.jsx)(i.code,{children:"fast_outlines"})," guided decoding system (specified in the request body). This is the default if you deployed the platform with the NeMo Microservices Helm Chart."]}),"\n",(0,t.jsx)(i.pre,{children:(0,t.jsx)(i.code,{className:"language-sh",children:'# URL to NeMo NIM Proxy service\nexport NEMO_URL="http://nemo.test"\n\ncurl --location "$NEMO_URL/v1/deployment/model-deployments" \\\n -H \'accept: application/json\' \\\n -H \'Content-Type: application/json\' \\\n -d \'{\n "name": "llama-3.2-1b-instruct",\n "namespace": "meta",\n "config": {\n "model": "meta/llama-3.2-1b-instruct",\n "nim_deployment": {\n "image_name": "nvcr.io/nim/meta/llama-3.2-1b-instruct",\n "image_tag": "1.8.3",\n "pvc_size": "25Gi",\n "gpu": 1,\n "additional_envs": {\n "NIM_GUIDED_DECODING_BACKEND": "fast_outlines"\n }\n }\n }\n }\'\n'})}),"\n",(0,t.jsxs)(i.p,{children:["This NIM deployment should take approximately 10 minutes to go live. ",(0,t.jsx)(i.a,{href:"https://docs.nvidia.com/nemo/microservices/latest/get-started/tutorials/deploy-nims.html",children:"See the docs"})," for more information on how to deploy a NIM and verify it's available for inference."]}),"\n",(0,t.jsx)(i.p,{children:"You can also remove a deployed NIM to free up GPU resources, if needed."}),"\n",(0,t.jsx)(i.pre,{children:(0,t.jsx)(i.code,{className:"language-sh",children:'export NEMO_URL="http://nemo.test"\n\ncurl -X DELETE "$NEMO_URL/v1/deployment/model-deployments/meta/llama-3.1-8b-instruct"\n'})}),"\n",(0,t.jsx)(i.h2,{id:"running-llama-stack-with-nvidia",children:"Running Llama Stack with NVIDIA"}),"\n",(0,t.jsx)(i.p,{children:"You can do this via venv (build code), or Docker which has a pre-built image."}),"\n",(0,t.jsx)(i.h3,{id:"via-docker",children:"Via Docker"}),"\n",(0,t.jsx)(i.p,{children:"This method allows you to get started quickly without having to build the distribution code."}),"\n",(0,t.jsx)(i.pre,{children:(0,t.jsx)(i.code,{className:"language-bash",children:"LLAMA_STACK_PORT=8321\ndocker run \\\n -it \\\n --pull always \\\n -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\\n -v ./run.yaml:/root/my-run.yaml \\\n -e NVIDIA_API_KEY=$NVIDIA_API_KEY \\\n llamastack/distribution-nvidia \\\n --config /root/my-run.yaml \\\n --port $LLAMA_STACK_PORT\n"})}),"\n",(0,t.jsx)(i.h3,{id:"via-venv",children:"Via venv"}),"\n",(0,t.jsx)(i.p,{children:"If you've set up your local development environment, you can also install the distribution dependencies using your local virtual environment."}),"\n",(0,t.jsx)(i.pre,{children:(0,t.jsx)(i.code,{className:"language-bash",children:"INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct\nllama stack list-deps nvidia | xargs -L1 uv pip install\nNVIDIA_API_KEY=$NVIDIA_API_KEY \\\nINFERENCE_MODEL=$INFERENCE_MODEL \\\nllama stack run ./run.yaml \\\n --port 8321\n"})}),"\n",(0,t.jsx)(i.h2,{id:"example-notebooks",children:"Example 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The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).',oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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The returned text will not contain the stop sequence."}},additionalProperties:!1,required:["strategy"],title:"SamplingParams",description:"Sampling parameters."},input_shields:{type:"array",items:{type:"string"}},output_shields:{type:"array",items:{type:"string"}},toolgroups:{type:"array",items:{oneOf:[{type:"string"},{type:"object",properties:{name:{type:"string"},args:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]}}},additionalProperties:!1,required:["name","args"],title:"AgentToolGroupWithArgs"}],title:"AgentTool"}},client_tools:{type:"array",items:{type:"object",properties:{toolgroup_id:{type:"string",description:"(Optional) ID of the tool group this tool belongs to"},name:{type:"string",description:"Name of the tool"},description:{type:"string",description:"(Optional) Human-readable description of what the tool does"},input_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool inputs (MCP inputSchema)"},output_schema:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) JSON Schema for tool outputs (MCP outputSchema)"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool"}},additionalProperties:!1,required:["name"],title:"ToolDef",description:"Tool definition used in runtime contexts."}},tool_choice:{type:"string",enum:["auto","required","none"],title:"ToolChoice",description:"Whether tool use is required or automatic. 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He\\'s a vengeful and obsessive old sailor who\\'s determined to hunt down and kill the white sperm whale\nMoby-Dick, whom he\\'s lost his leg to in a previous encounter.',\n name=None,\n tool_calls=None,\n refusal=None,\n annotations=None,\n audio=None,\n function_call=None\n ),\n logprobs=None\n )\n ],\n created=1752578797,\n model='llama3.2:3b-instruct-fp16',\n object='chat.completion',\n service_tier=None,\n system_fingerprint='fp_ollama',\n usage={\n 'completion_tokens': 67,\n 'prompt_tokens': 33,\n 'total_tokens': 100,\n 'completion_tokens_details': None,\n 'prompt_tokens_details': None\n }\n)\n"})}),"\n",(0,a.jsxs)(n.p,{children:["Required arguments:\n",(0,a.jsx)(n.strong,{children:"Note:"})," At least one of these parameters is required for chat completion"]}),"\n",(0,a.jsxs)(n.ul,{children:["\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"--message"}),": Message"]}),"\n",(0,a.jsxs)(n.li,{children:[(0,a.jsx)(n.code,{children:"--session"}),": Start a Chat 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Models\n\n\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 model_type \u2503 identifier \u2503 provider_resource_id \u2503 metadata \u2503 provider_id \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 llm \u2502 meta-llama/Llama-3.2-3B-Instruct \u2502 llama3.2:3b-instruct-fp16 \u2502 \u2502 ollama \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n\nTotal models: 1\n"})}),"\n",(0,a.jsx)(n.h3,{id:"llama-stack-client-models-get",children:(0,a.jsx)(n.code,{children:"llama-stack-client models get"})}),"\n",(0,a.jsx)(n.p,{children:"Show details of a specific model at the distribution 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identifier \u2503 provider_alias \u2503 params \u2503 provider_id 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ollama \u2502 ollama/llama-guard3:1b \u2502 \u2502 llama-guard 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api-method",info_path:"docs/api-deprecated/llama-stack-specification-deprecated-apis",custom_edit_url:null},h=void 0,f={},b=[];function x(t){const e={admonition:"admonition",code:"code",p:"p",...(0,n.R)(),...t.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(y.default,{as:"h1",className:"openapi__heading",children:"Resume an agent turn with executed tool call responses."}),"\n",(0,r.jsx)(s(),{method:"post",path:"/v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/resume",context:"endpoint"}),"\n",(0,r.jsx)(e.admonition,{title:"deprecated",type:"caution",children:(0,r.jsx)(e.p,{children:"This endpoint has been deprecated and may be replaced or removed in future versions of the API."})}),"\n",(0,r.jsxs)(e.p,{children:["Resume an agent turn with executed tool call responses.\nWhen a Turn has the status ",(0,r.jsx)(e.code,{children:"awaiting_input"})," due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready."]}),"\n",(0,r.jsx)(y.default,{id:"request",as:"h2",className:"openapi-tabs__heading",children:"Request"}),"\n",(0,r.jsx)(d(),{parameters:[{name:"agent_id",in:"path",description:"The ID of the agent to resume.",required:!0,schema:{type:"string"}},{name:"session_id",in:"path",description:"The ID of the session to resume.",required:!0,schema:{type:"string"}},{name:"turn_id",in:"path",description:"The ID of the turn to resume.",required:!0,schema:{type:"string"}}]}),"\n",(0,r.jsx)(m(),{title:"Body",body:{content:{"application/json":{schema:{type:"object",properties:{tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool call responses to resume the turn with."},stream:{type:"boolean",description:"Whether to stream the response."}},additionalProperties:!1,required:["tool_responses"],title:"ResumeAgentTurnRequest"}}},required:!0}}),"\n",(0,r.jsx)(g(),{id:void 0,label:void 0,responses:{200:{description:"A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects.",content:{"application/json":{schema:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},"text/event-stream":{schema:{type:"object",properties:{event:{description:"Individual event in the agent turn response stream",type:"object",properties:{payload:{oneOf:[{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. 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Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. 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Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnAwaitingInputPayload",description:"Payload for turn awaiting input events in agent turn responses."}],discriminator:{propertyName:"event_type",mapping:{step_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},step_progress:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},step_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},turn_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},turn_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},turn_awaiting_input:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},description:"The message from the model"},finish_reason:{type:"string",description:"The reason the model stopped generating"},index:{type:"integer",description:"The index of the choice"},logprobs:{description:"(Optional) The log probabilities for the tokens in the message",type:"object",properties:{content:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"},refusal:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"}},additionalProperties:!1,title:"OpenAIChoiceLogprobs"}},additionalProperties:!1,required:["message","finish_reason","index"],title:"OpenAIChoice",description:"A choice from an OpenAI-compatible chat completion response."},description:"List of choices"},object:{type:"string",const:"chat.completion",default:"chat.completion",description:'The object type, which will be "chat.completion"'},created:{type:"integer",description:"The Unix timestamp in seconds when the chat completion was created"},model:{type:"string",description:"The model that was used to generate the chat completion"},usage:{description:"Token usage information for the completion",type:"object",properties:{prompt_tokens:{type:"integer",description:"Number of tokens in the prompt"},completion_tokens:{type:"integer",description:"Number of tokens in the completion"},total_tokens:{type:"integer",description:"Total tokens used (prompt + completion)"},prompt_tokens_details:{type:"object",properties:{cached_tokens:{type:"integer",description:"Number of tokens retrieved from cache"}},additionalProperties:!1,title:"OpenAIChatCompletionUsagePromptTokensDetails",description:"Token details for prompt tokens in OpenAI chat completion usage."},completion_tokens_details:{type:"object",properties:{reasoning_tokens:{type:"integer",description:"Number of tokens used for reasoning (o1/o3 models)"}},additionalProperties:!1,title:"OpenAIChatCompletionUsageCompletionTokensDetails",description:"Token details for output tokens in OpenAI chat completion usage."}},additionalProperties:!1,required:["prompt_tokens","completion_tokens","total_tokens"],title:"OpenAIChatCompletionUsage"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. 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Building a Search Agent",id:"1-building-a-search-agent",level:3},{value:"2. Query Agent Execution Steps",id:"2-query-agent-execution-steps",level:3},{value:"3. Evaluate Agent Responses",id:"3-evaluate-agent-responses",level:3},{value:"Available Scoring Functions",id:"available-scoring-functions",level:2},{value:"Basic Scoring Functions",id:"basic-scoring-functions",level:3},{value:"Advanced Scoring Functions",id:"advanced-scoring-functions",level:3},{value:"Custom Scoring Functions",id:"custom-scoring-functions",level:3},{value:"Evaluation Workflow Best Practices",id:"evaluation-workflow-best-practices",level:2},{value:"\ud83c\udfaf <strong>Dataset Preparation</strong>",id:"-dataset-preparation",level:3},{value:"\ud83d\udcca <strong>Metrics Selection</strong>",id:"-metrics-selection",level:3},{value:"\ud83d\udd04 <strong>Iterative Improvement</strong>",id:"-iterative-improvement",level:3},{value:"\ud83d\udcc8 <strong>Analysis & Reporting</strong>",id:"-analysis--reporting",level:3},{value:"Advanced Evaluation Scenarios",id:"advanced-evaluation-scenarios",level:2},{value:"Batch Evaluation",id:"batch-evaluation",level:3},{value:"Multi-Metric Evaluation",id:"multi-metric-evaluation",level:3},{value:"Related Resources",id:"related-resources",level:2}];function h(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsxs)(n.p,{children:["This guide walks you through the process of evaluating an LLM application built using Llama Stack. For detailed API reference, check out the ",(0,t.jsx)(n.a,{href:"../references/evals_reference/",children:"Evaluation Reference"})," guide that covers the complete set of APIs and developer experience flow."]}),"\n",(0,t.jsx)(n.admonition,{title:"Interactive Examples",type:"tip",children:(0,t.jsxs)(n.p,{children:["Check out our ",(0,t.jsx)(n.a,{href:"https://colab.research.google.com/drive/10CHyykee9j2OigaIcRv47BKG9mrNm0tJ?usp=sharing",children:"Colab notebook"})," for working examples with evaluations, or try the ",(0,t.jsx)(n.a,{href:"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb",children:"Getting Started notebook"}),"."]})}),"\n",(0,t.jsx)(n.h2,{id:"application-evaluation-example",children:"Application Evaluation Example"}),"\n",(0,t.jsx)(n.p,{children:(0,t.jsx)(n.a,{href:"https://colab.research.google.com/github/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb",children:(0,t.jsx)(n.img,{src:"https://colab.research.google.com/assets/colab-badge.svg",alt:"Open In Colab"})})}),"\n",(0,t.jsxs)(n.p,{children:["Llama Stack offers a library of scoring functions and the ",(0,t.jsx)(n.code,{children:"/scoring"})," API, allowing you to run evaluations on your pre-annotated AI application datasets."]}),"\n",(0,t.jsx)(n.p,{children:"In this example, we will show you how to:"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Build an Agent"})," with Llama Stack"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Query the agent's sessions, turns, and steps"})," to analyze execution"]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Evaluate the results"})," using scoring functions"]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"step-by-step-evaluation-process",children:"Step-by-Step Evaluation Process"}),"\n",(0,t.jsx)(n.h3,{id:"1-building-a-search-agent",children:"1. Building a Search Agent"}),"\n",(0,t.jsx)(n.p,{children:"First, let's create an agent that can search the web to answer questions:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import LlamaStackClient, Agent, AgentEventLogger\n\nclient = LlamaStackClient(base_url=f"http://{HOST}:{PORT}")\n\nagent = Agent(\n client,\n model="meta-llama/Llama-3.3-70B-Instruct",\n instructions="You are a helpful assistant. Use search tool to answer the questions.",\n tools=["builtin::websearch"],\n)\n\n# Test prompts for evaluation\nuser_prompts = [\n "Which teams played in the NBA Western Conference Finals of 2024. Search the web for the answer.",\n "In which episode and season of South Park does Bill Cosby (BSM-471) first appear? Give me the number and title. Search the web for the answer.",\n "What is the British-American kickboxer Andrew Tate\'s kickboxing name? Search the web for the answer.",\n]\n\nsession_id = agent.create_session("test-session")\n\n# Execute all prompts in the session\nfor prompt in user_prompts:\n response = agent.create_turn(\n messages=[\n {\n "role": "user",\n "content": prompt,\n }\n ],\n session_id=session_id,\n )\n\n for log in AgentEventLogger().log(response):\n log.print()\n'})}),"\n",(0,t.jsx)(n.h3,{id:"2-query-agent-execution-steps",children:"2. 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"desc". Defaults to "desc".',required:!1,schema:{type:"string",enum:["asc","desc"],title:"Order",description:"Sort order for paginated responses."}}]}),"\n",(0,n.jsx)(d(),{title:"Body",body:void 0}),"\n",(0,n.jsx)(y(),{id:void 0,label:void 0,responses:{200:{description:"A ListOpenAIChatCompletionResponse.",content:{"application/json":{schema:{type:"object",properties:{data:{type:"array",items:{type:"object",properties:{id:{type:"string",description:"The ID of the chat completion"},choices:{type:"array",items:{type:"object",properties:{message:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},assistant:{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},tool:{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},developer:{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}}},description:"The message from the model"},finish_reason:{type:"string",description:"The reason the model stopped generating"},index:{type:"integer",description:"The index of the choice"},logprobs:{description:"(Optional) The log probabilities for the tokens in the message",type:"object",properties:{content:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"},refusal:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"},top_logprobs:{type:"array",items:{type:"object",properties:{token:{type:"string"},bytes:{type:"array",items:{type:"integer"}},logprob:{type:"number"}},additionalProperties:!1,required:["token","logprob"],title:"OpenAITopLogProb",description:"The top log probability for a token from an OpenAI-compatible chat completion response."}}},additionalProperties:!1,required:["token","logprob","top_logprobs"],title:"OpenAITokenLogProb",description:"The log probability for a token from an OpenAI-compatible chat completion response."},description:"(Optional) The log probabilities for the tokens in the message"}},additionalProperties:!1,title:"OpenAIChoiceLogprobs"}},additionalProperties:!1,required:["message","finish_reason","index"],title:"OpenAIChoice",description:"A choice from an OpenAI-compatible chat completion response."},description:"List of choices"},object:{type:"string",const:"chat.completion",default:"chat.completion",description:'The object type, which will be "chat.completion"'},created:{type:"integer",description:"The Unix timestamp in seconds when the chat completion was created"},model:{type:"string",description:"The model that was used to generate the chat completion"},usage:{description:"Token usage information for the completion",type:"object",properties:{prompt_tokens:{type:"integer",description:"Number of tokens in the prompt"},completion_tokens:{type:"integer",description:"Number of tokens in the completion"},total_tokens:{type:"integer",description:"Total tokens used (prompt + completion)"},prompt_tokens_details:{type:"object",properties:{cached_tokens:{type:"integer",description:"Number of tokens retrieved from cache"}},additionalProperties:!1,title:"OpenAIChatCompletionUsagePromptTokensDetails",description:"Token details for prompt tokens in OpenAI chat completion usage."},completion_tokens_details:{type:"object",properties:{reasoning_tokens:{type:"integer",description:"Number of tokens used for reasoning (o1/o3 models)"}},additionalProperties:!1,title:"OpenAIChatCompletionUsageCompletionTokensDetails",description:"Token details for output tokens in OpenAI chat completion usage."}},additionalProperties:!1,required:["prompt_tokens","completion_tokens","total_tokens"],title:"OpenAIChatCompletionUsage"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". If multiple system messages are provided, they are concatenated. The underlying Llama Stack code may also add other system messages (for example, for formatting tool definitions).'},name:{type:"string",description:"(Optional) The name of the system message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAISystemMessageParam",description:"A system message providing instructions or context to the model."},{type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the model's response"},name:{type:"string",description:"(Optional) The name of the assistant message participant."},tool_calls:{type:"array",items:{type:"object",properties:{index:{type:"integer",description:"(Optional) Index of the tool call in the list"},id:{type:"string",description:"(Optional) Unique identifier for the tool call"},type:{type:"string",const:"function",default:"function",description:'Must be "function" to identify this as a function call'},function:{description:"(Optional) Function call details",type:"object",properties:{name:{type:"string",description:"(Optional) Name of the function to call"},arguments:{type:"string",description:"(Optional) Arguments to pass to the function as a JSON string"}},additionalProperties:!1,title:"OpenAIChatCompletionToolCallFunction"}},additionalProperties:!1,required:["type"],title:"OpenAIChatCompletionToolCall",description:"Tool call specification for OpenAI-compatible chat completion responses."},description:"List of tool calls. Each tool call is an OpenAIChatCompletionToolCall object."}},additionalProperties:!1,required:["role"],title:"OpenAIAssistantMessageParam",description:"A message containing the model's (assistant) response in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},tool_call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The response content from the tool"}},additionalProperties:!1,required:["role","tool_call_id","content"],title:"OpenAIToolMessageParam",description:"A message representing the result of a tool invocation in an OpenAI-compatible chat completion request."},{type:"object",properties:{role:{type:"string",const:"developer",default:"developer",description:'Must be "developer" to identify this as a developer message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:"The content of the developer message"},name:{type:"string",description:"(Optional) The name of the developer message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIDeveloperMessageParam",description:"A message from the developer in an OpenAI-compatible chat completion request."}],discriminator:{propertyName:"role",mapping:{user:{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{oneOf:[{type:"string"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."},image_url:{type:"object",properties:{type:{type:"string",const:"image_url",default:"image_url",description:'Must be "image_url" to identify this as image content'},image_url:{description:"Image URL specification and processing details",type:"object",properties:{url:{type:"string",description:"URL of the image to include in the message"},detail:{type:"string",description:'(Optional) Level of detail for image processing. Can be "low", "high", or "auto"'}},additionalProperties:!1,required:["url"],title:"OpenAIImageURL"}},additionalProperties:!1,required:["type","image_url"],title:"OpenAIChatCompletionContentPartImageParam",description:"Image content part for OpenAI-compatible chat completion messages."},file:{type:"object",properties:{type:{type:"string",const:"file",default:"file"},file:{type:"object",properties:{file_data:{type:"string"},file_id:{type:"string"},filename:{type:"string"}},additionalProperties:!1,title:"OpenAIFileFile"}},additionalProperties:!1,required:["type","file"],title:"OpenAIFile"}}},title:"OpenAIChatCompletionContentPartParam"}}],description:"The content of the message, which can include text and other media"},name:{type:"string",description:"(Optional) The name of the user message participant."}},additionalProperties:!1,required:["role","content"],title:"OpenAIUserMessageParam",description:"A message from the user in an OpenAI-compatible chat completion request."},system:{type:"object",properties:{role:{type:"string",const:"system",default:"system",description:'Must be "system" to identify this as a system message'},content:{oneOf:[{type:"string"},{type:"array",items:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Must be "text" to identify this as text content'},text:{type:"string",description:"The text content of the message"}},additionalProperties:!1,required:["type","text"],title:"OpenAIChatCompletionContentPartTextParam",description:"Text content part for OpenAI-compatible chat completion messages."}}],description:'The content of the "system prompt". 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It\\nallows you to store and query vectors directly in memory.\\nThat means you\'ll get fast and efficient vector retrieval.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n\\nThere are three implementations of search for PGVectoIndex available:\\n\\n1. Vector Search:\\n- How it works:\\n - Uses PostgreSQL\'s vector extension (pgvector) to perform similarity search\\n - Compares query embeddings against stored embeddings using Cosine distance or other distance metrics\\n - Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance\\n\\n-Characteristics:\\n - Semantic understanding - finds documents similar in meaning even if they don\'t share keywords\\n - Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)\\n - Best for: Finding conceptually related content, handling synonyms, cross-language search\\n\\n2. 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Hybrid Search\\n- How it works:\\n - Combines both vector and keyword search results\\n - Runs both searches independently, then merges results using configurable reranking\\n\\n- Two reranking strategies available:\\n - Reciprocal Rank Fusion (RRF) - (default: 60.0)\\n - Weighted Average - (default: 0.5)\\n\\n- Characteristics:\\n - Best of both worlds: semantic understanding + exact matching\\n - Documents appearing in both searches get boosted scores\\n - Configurable balance between semantic and lexical matching\\n - Best for: General-purpose search where you want both precision and recall\\n\\n4. Database Schema\\nThe PGVector implementation stores data optimized for all three search types:\\nCREATE TABLE vector_store_xxx (\\n id TEXT PRIMARY KEY,\\n document JSONB, -- Original document\\n embedding vector(dimension), -- For vector search\\n content_text TEXT, -- Raw text content\\n tokenized_content TSVECTOR -- For keyword search\\n);\\n\\n-- Indexes for performance\\nCREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search\\n-- Vector index created automatically by pgvector\\n\\n## Usage\\n\\nTo use PGVector in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).\\n3. Start storing and querying vectors.\\n\\n## This is an example how you can set up your environment for using PGVector\\n\\n1. Export env vars:\\n```bash\\nexport ENABLE_PGVECTOR=true\\nexport PGVECTOR_HOST=localhost\\nexport PGVECTOR_PORT=5432\\nexport PGVECTOR_DB=llamastack\\nexport PGVECTOR_USER=llamastack\\nexport PGVECTOR_PASSWORD=llamastack\\n```\\n\\n2. Create DB:\\n```bash\\npsql -h localhost -U postgres -c \\"CREATE ROLE llamastack LOGIN PASSWORD \'llamastack\';\\"\\npsql -h localhost -U postgres -c \\"CREATE DATABASE llamastack OWNER llamastack;\\"\\npsql -h localhost -U llamastack -d llamastack -c \\"CREATE EXTENSION IF NOT EXISTS vector;\\"\\n```\\n\\n## Installation\\n\\nYou can install PGVector using docker:\\n\\n```bash\\ndocker pull pgvector/pgvector:pg17\\n```\\n## Documentation\\nSee [PGVector\'s documentation](https://github.com/pgvector/pgvector) for more details about PGVector in general.\\n","source":"@site/docs/providers/vector_io/remote_pgvector.mdx","sourceDirName":"providers/vector_io","slug":"/providers/vector_io/remote_pgvector","permalink":"/v0.3.0/docs/providers/vector_io/remote_pgvector","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{"description":"[PGVector](https://github.com/pgvector/pgvector) is a remote vector database provider for Llama Stack. It\\nallows you to store and query vectors directly in memory.\\nThat means you\'ll get fast and efficient vector retrieval.\\n\\n## Features\\n\\n- Easy to use\\n- Fully integrated with Llama Stack\\n\\nThere are three implementations of search for PGVectoIndex available:\\n\\n1. Vector Search:\\n- How it works:\\n - Uses PostgreSQL\'s vector extension (pgvector) to perform similarity search\\n - Compares query embeddings against stored embeddings using Cosine distance or other distance metrics\\n - Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance\\n\\n-Characteristics:\\n - Semantic understanding - finds documents similar in meaning even if they don\'t share keywords\\n - Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)\\n - Best for: Finding conceptually related content, handling synonyms, cross-language search\\n\\n2. 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Database Schema\\nThe PGVector implementation stores data optimized for all three search types:\\nCREATE TABLE vector_store_xxx (\\n id TEXT PRIMARY KEY,\\n document JSONB, -- Original document\\n embedding vector(dimension), -- For vector search\\n content_text TEXT, -- Raw text content\\n tokenized_content TSVECTOR -- For keyword search\\n);\\n\\n-- Indexes for performance\\nCREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search\\n-- Vector index created automatically by pgvector\\n\\n## Usage\\n\\nTo use PGVector in your Llama Stack project, follow these steps:\\n\\n1. Install the necessary dependencies.\\n2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).\\n3. Start storing and querying vectors.\\n\\n## This is an example how you can set up your environment for using PGVector\\n\\n1. Export env vars:\\n```bash\\nexport ENABLE_PGVECTOR=true\\nexport PGVECTOR_HOST=localhost\\nexport PGVECTOR_PORT=5432\\nexport PGVECTOR_DB=llamastack\\nexport PGVECTOR_USER=llamastack\\nexport PGVECTOR_PASSWORD=llamastack\\n```\\n\\n2. Create DB:\\n```bash\\npsql -h localhost -U postgres -c \\"CREATE ROLE llamastack LOGIN PASSWORD \'llamastack\';\\"\\npsql -h localhost -U postgres -c \\"CREATE DATABASE llamastack OWNER llamastack;\\"\\npsql -h localhost -U llamastack -d llamastack -c \\"CREATE EXTENSION IF NOT EXISTS vector;\\"\\n```\\n\\n## Installation\\n\\nYou can install PGVector using docker:\\n\\n```bash\\ndocker pull pgvector/pgvector:pg17\\n```\\n## Documentation\\nSee [PGVector\'s documentation](https://github.com/pgvector/pgvector) for more details about PGVector in general.\\n","sidebar_label":"Remote - Pgvector","title":"remote::pgvector"},"sidebar":"tutorialSidebar","previous":{"title":"Remote - Milvus","permalink":"/v0.3.0/docs/providers/vector_io/remote_milvus"},"next":{"title":"Remote - Qdrant","permalink":"/v0.3.0/docs/providers/vector_io/remote_qdrant"}}');var s=t(74848),o=t(28453);const a={description:"[PGVector](https://github.com/pgvector/pgvector) is a remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly in memory.\nThat means you'll get fast and efficient vector retrieval.\n\n## Features\n\n- Easy to use\n- Fully integrated with Llama Stack\n\nThere are three implementations of search for PGVectoIndex available:\n\n1. Vector Search:\n- How it works:\n - Uses PostgreSQL's vector extension (pgvector) to perform similarity search\n - Compares query embeddings against stored embeddings using Cosine distance or other distance metrics\n - Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance\n\n-Characteristics:\n - Semantic understanding - finds documents similar in meaning even if they don't share keywords\n - Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)\n - Best for: Finding conceptually related content, handling synonyms, cross-language search\n\n2. 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Database Schema\nThe PGVector implementation stores data optimized for all three search types:\nCREATE TABLE vector_store_xxx (\n id TEXT PRIMARY KEY,\n document JSONB, -- Original document\n embedding vector(dimension), -- For vector search\n content_text TEXT, -- Raw text content\n tokenized_content TSVECTOR -- For keyword search\n);\n\n-- Indexes for performance\nCREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search\n-- Vector index created automatically by pgvector\n\n## Usage\n\nTo use PGVector in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).\n3. Start storing and querying vectors.\n\n## This is an example how you can set up your environment for using PGVector\n\n1. 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These include web search, math, and RAG capabilities."}),"\n",(0,l.jsx)(n.h3,{id:"web-search",children:"Web Search"}),"\n",(0,l.jsx)(n.p,{children:"You have three providers to execute the web search tool calls generated by a model: Brave Search, Bing Search, and Tavily Search."}),"\n",(0,l.jsx)(n.p,{children:'To indicate that the web search tool calls should be executed by brave-search, you can point the "builtin::websearch" toolgroup to the "brave-search" provider.'}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'client.toolgroups.register(\n toolgroup_id="builtin::websearch",\n provider_id="brave-search",\n args={"max_results": 5},\n)\n'})}),"\n",(0,l.jsxs)(n.p,{children:["The tool requires an API key which can be provided either in the configuration or through the request header ",(0,l.jsx)(n.code,{children:"X-LlamaStack-Provider-Data"}),". 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It is a protocol that allows tools to be dynamically discovered from an MCP endpoint and can be used to extend the agent's capabilities."]}),"\n",(0,l.jsx)(n.h3,{id:"using-remote-mcp-servers",children:"Using Remote MCP Servers"}),"\n",(0,l.jsxs)(n.p,{children:["You can find some popular remote MCP servers ",(0,l.jsx)(n.a,{href:"https://github.com/jaw9c/awesome-remote-mcp-servers",children:"here"}),". You can register them as toolgroups in the same way as local providers."]}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'client.toolgroups.register(\n toolgroup_id="mcp::deepwiki",\n provider_id="model-context-protocol",\n mcp_endpoint=URL(uri="https://mcp.deepwiki.com/sse"),\n)\n'})}),"\n",(0,l.jsx)(n.p,{children:'Note that most of the more useful MCP servers need you to authenticate with them. Many of them use OAuth2.0 for authentication. You can provide authorization headers to send to the MCP server using the "Provider Data" abstraction provided by Llama Stack. When making an agent call,'}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'agent = Agent(\n ...,\n tools=["mcp::deepwiki"],\n extra_headers={\n "X-LlamaStack-Provider-Data": json.dumps(\n {\n "mcp_headers": {\n "http://mcp.deepwiki.com/sse": {\n "Authorization": "Bearer <your_access_token>",\n },\n },\n }\n ),\n },\n)\nagent.create_turn(...)\n'})}),"\n",(0,l.jsx)(n.h3,{id:"running-your-own-mcp-server",children:"Running Your Own MCP Server"}),"\n",(0,l.jsx)(n.p,{children:"Here's an example of how to run a simple MCP server that exposes a File System as a set of tools to the Llama Stack agent."}),"\n",(0,l.jsxs)(i.A,{children:[(0,l.jsx)(r.default,{value:"setup",label:"Server Setup",children:(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-shell",children:"# Start your MCP server\nmkdir /tmp/content\ntouch /tmp/content/foo\ntouch /tmp/content/bar\nnpx -y supergateway --port 8000 --stdio 'npx -y @modelcontextprotocol/server-filesystem /tmp/content'\n"})})}),(0,l.jsx)(r.default,{value:"register",label:"Registration",children:(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'# Register the MCP server as a tool group\nclient.toolgroups.register(\n toolgroup_id="mcp::filesystem",\n provider_id="model-context-protocol",\n mcp_endpoint=URL(uri="http://localhost:8000/sse"),\n)\n'})})})]}),"\n",(0,l.jsx)(n.h2,{id:"adding-custom-client-side-tools",children:"Adding Custom (Client-side) Tools"}),"\n",(0,l.jsx)(n.p,{children:"When you want to use tools other than the built-in tools, you just need to implement a python function with a docstring. The content of the docstring will be used to describe the tool and the parameters and passed along to the generative model."}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'# Example tool definition\ndef my_tool(input: int) -> int:\n """\n Runs my awesome tool.\n\n :param input: some int parameter\n """\n return input * 2\n'})}),"\n",(0,l.jsx)(n.admonition,{title:"Documentation Best Practices",type:"tip",children:(0,l.jsx)(n.p,{children:"We employ python docstrings to describe the tool and the parameters. It is important to document the tool and the parameters so that the model can use the tool correctly. It is recommended to experiment with different docstrings to see how they affect the model's behavior."})}),"\n",(0,l.jsxs)(n.p,{children:["Once defined, simply pass the tool to the agent config. ",(0,l.jsx)(n.code,{children:"Agent"})," will take care of the rest (calling the model with the tool definition, executing the tool, and returning the result to the model for the next iteration)."]}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:"# Example agent config with client provided tools\nagent = Agent(client, ..., tools=[my_tool])\n"})}),"\n",(0,l.jsxs)(n.p,{children:["Refer to ",(0,l.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack-apps/",children:"llama-stack-apps"})," for an example of how to use client provided tools."]}),"\n",(0,l.jsx)(n.h2,{id:"tool-invocation",children:"Tool Invocation"}),"\n",(0,l.jsxs)(n.p,{children:["Tools can be invoked using the ",(0,l.jsx)(n.code,{children:"invoke_tool"})," method:"]}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'result = client.tool_runtime.invoke_tool(\n tool_name="web_search",\n kwargs={"query": "What is the capital of France?"}\n)\n'})}),"\n",(0,l.jsx)(n.p,{children:"The result contains:"}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.code,{children:"content"}),": The tool's output"]}),"\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.code,{children:"error_message"}),": Optional error message if the tool failed"]}),"\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.code,{children:"error_code"}),": Optional error code if the tool failed"]}),"\n"]}),"\n",(0,l.jsx)(n.h2,{id:"listing-available-tools",children:"Listing Available Tools"}),"\n",(0,l.jsx)(n.p,{children:"You can list all available tools or filter by tool group:"}),"\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'# List all tools\nall_tools = client.tools.list_tools()\n\n# List tools in a specific group\ngroup_tools = client.tools.list_tools(toolgroup_id="search_tools")\n'})}),"\n",(0,l.jsx)(n.h2,{id:"complete-examples",children:"Complete Examples"}),"\n",(0,l.jsx)(n.h3,{id:"web-search-agent",children:"Web Search Agent"}),"\n",(0,l.jsxs)(i.A,{children:[(0,l.jsxs)(r.default,{value:"setup",label:"Setup & Configuration",children:[(0,l.jsxs)(n.ol,{children:["\n",(0,l.jsxs)(n.li,{children:["Start by registering a Tavily API key at ",(0,l.jsx)(n.a,{href:"https://tavily.com/",children:"Tavily"}),"."]}),"\n",(0,l.jsx)(n.li,{children:"[Optional] Set the API key in your environment before starting the Llama Stack server"}),"\n"]}),(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-bash",children:'export TAVILY_SEARCH_API_KEY="your key"\n'})})]}),(0,l.jsx)(r.default,{value:"implementation",label:"Implementation",children:(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'from llama_stack_client.lib.agents.agent import Agent\nfrom llama_stack_client.types.agent_create_params import AgentConfig\nfrom llama_stack_client.lib.agents.event_logger import EventLogger\nfrom llama_stack_client import LlamaStackClient\n\nclient = LlamaStackClient(\n base_url=f"http://localhost:8321",\n provider_data={\n "tavily_search_api_key": "your_TAVILY_SEARCH_API_KEY"\n }, # Set this from the client side. No need to provide it if it has already been configured on the Llama Stack server.\n)\n\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions=(\n "You are a web search assistant, must use websearch tool to look up the most current and precise information available. "\n ),\n tools=["builtin::websearch"],\n)\n\nsession_id = agent.create_session("websearch-session")\n\nresponse = agent.create_turn(\n messages=[\n {"role": "user", "content": "How did the USA perform in the last Olympics?"}\n ],\n session_id=session_id,\n)\nfor log in EventLogger().log(response):\n log.print()\n'})})})]}),"\n",(0,l.jsx)(n.h3,{id:"wolframalpha-math-agent",children:"WolframAlpha Math Agent"}),"\n",(0,l.jsxs)(i.A,{children:[(0,l.jsx)(r.default,{value:"setup",label:"Setup & Configuration",children:(0,l.jsxs)(n.ol,{children:["\n",(0,l.jsxs)(n.li,{children:["Start by registering for a WolframAlpha API key at ",(0,l.jsx)(n.a,{href:"https://developer.wolframalpha.com/access",children:"WolframAlpha Developer Portal"}),"."]}),"\n",(0,l.jsxs)(n.li,{children:["Provide the API key either by setting it in your environment before starting the Llama Stack server:","\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-bash",children:'export WOLFRAM_ALPHA_API_KEY="your key"\n'})}),"\n","or from the client side:","\n",(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'client = LlamaStackClient(\n base_url="http://localhost:8321",\n provider_data={"wolfram_alpha_api_key": wolfram_api_key},\n)\n'})}),"\n"]}),"\n"]})}),(0,l.jsx)(r.default,{value:"implementation",label:"Implementation",children:(0,l.jsx)(n.pre,{children:(0,l.jsx)(n.code,{className:"language-python",children:'# Configure the tools in the Agent by setting tools=["builtin::wolfram_alpha"]\nagent = Agent(\n client,\n model="meta-llama/Llama-3.2-3B-Instruct",\n instructions="You are a mathematical assistant that can solve complex equations.",\n tools=["builtin::wolfram_alpha"],\n)\n\nsession_id = agent.create_session("math-session")\n\n# Example user query\nresponse = agent.create_turn(\n messages=[{"role": "user", "content": "Solve x^2 + 2x + 1 = 0 using WolframAlpha"}],\n session_id=session_id,\n)\n'})})})]}),"\n",(0,l.jsx)(n.h2,{id:"best-practices",children:"Best Practices"}),"\n",(0,l.jsxs)(n.h3,{id:"\ufe0f-tool-selection",children:["\ud83d\udee0\ufe0f ",(0,l.jsx)(n.strong,{children:"Tool Selection"})]}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsxs)(n.li,{children:["Use ",(0,l.jsx)(n.strong,{children:"server-side tools"})," for production applications requiring reliability and security"]}),"\n",(0,l.jsxs)(n.li,{children:["Use ",(0,l.jsx)(n.strong,{children:"client-side tools"})," for development, prototyping, or specialized integrations"]}),"\n",(0,l.jsx)(n.li,{children:"Combine multiple tool types for comprehensive functionality"}),"\n"]}),"\n",(0,l.jsxs)(n.h3,{id:"-documentation",children:["\ud83d\udcdd ",(0,l.jsx)(n.strong,{children:"Documentation"})]}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsx)(n.li,{children:"Write clear, detailed docstrings for custom tools"}),"\n",(0,l.jsx)(n.li,{children:"Include parameter descriptions and expected return types"}),"\n",(0,l.jsx)(n.li,{children:"Test tool descriptions with the model to ensure proper usage"}),"\n"]}),"\n",(0,l.jsxs)(n.h3,{id:"-security",children:["\ud83d\udd10 ",(0,l.jsx)(n.strong,{children:"Security"})]}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsx)(n.li,{children:"Store API keys securely using environment variables or secure configuration"}),"\n",(0,l.jsxs)(n.li,{children:["Use the ",(0,l.jsx)(n.code,{children:"X-LlamaStack-Provider-Data"})," header for dynamic authentication"]}),"\n",(0,l.jsx)(n.li,{children:"Validate tool inputs and outputs for security"}),"\n"]}),"\n",(0,l.jsxs)(n.h3,{id:"-error-handling",children:["\ud83d\udd04 ",(0,l.jsx)(n.strong,{children:"Error Handling"})]}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsx)(n.li,{children:"Implement proper error handling in custom tools"}),"\n",(0,l.jsx)(n.li,{children:"Use structured error responses with meaningful messages"}),"\n",(0,l.jsx)(n.li,{children:"Monitor tool performance and reliability"}),"\n"]}),"\n",(0,l.jsx)(n.h2,{id:"related-resources",children:"Related Resources"}),"\n",(0,l.jsxs)(n.ul,{children:["\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.strong,{children:(0,l.jsx)(n.a,{href:"./agent",children:"Agents"})})," - Building intelligent agents with tools"]}),"\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.strong,{children:(0,l.jsx)(n.a,{href:"./rag",children:"RAG (Retrieval Augmented Generation)"})})," - Using knowledge retrieval tools"]}),"\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.strong,{children:(0,l.jsx)(n.a,{href:"./agent_execution_loop",children:"Agent Execution Loop"})})," - Understanding tool execution flow"]}),"\n",(0,l.jsxs)(n.li,{children:[(0,l.jsx)(n.strong,{children:(0,l.jsx)(n.a,{href:"https://github.com/meta-llama/llama-stack/blob/main/docs/getting_started.ipynb",children:"Building AI Applications Notebook"})})," - Comprehensive 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KyxwRie3eIajCHQDGgGxnBSoAZ9F/gGfBsHvgHYEK0BzYBm00AzRGtj1XenaZwkl6xrBtayOY7ycsa6bvcOX33TnFjpatvxOZ5K+mX2NHEy7oDF3qdutk2bNK2UwNOqb5G80SPSO0V9X8siw3Kcz2PQTiDJQZI7XJJrvy86qBp9/jSfPagikz79IdEhPG4Gjk/A77nYG3qE3y8yeqCBoOmWHkgruxXueV26Jlfz52q7YP1G+o0yWhctgeZzncSVe/HTfMZ7Q8JOmr1dOcLFSqTnUMjtG9nWQZHbbdIgZJPr850OhuYAlSdZmbrz6BtK1J1Kon7BQZKT4kRKy/L+nr/G220sZbQmq7fHoWu3w0QVGQ8ReUd2+7mp79MBePwW19NZP92Bz9FQADgDnA8H594bYoTuPWSYpsQWepEuFyodNN0Yaurgl+F/7VZIvLhxcn+VfBXKf/VysncAyg25HlE9GZ4Z6p/V6aTNDNF93QXEaRAEIAhAd54dMwC6E2gGNAPdOSlQgzgNfAO+jQPfAGyI1oBmQLNpoBmitXGK06eUN9tM5ABbGOXl2jGZNzWRuYNF93ynCHznTir9AHxvHYOMQD6Qv/s7J+j4V0fHw2gURqOItxBvnVu8hUALq0egGdBsGmiG1SO4fuAb8G2q+AZgQ7QGNAOaTQPNEK2Nk+uH0SiMRqNmh68ejEbteRqNdnUhSHeQ7uA8evYICedROI9i0Y1FNxbdoBBBIQLNgGavFc1AIULwBb4B36aKbwA2RGtAM6DZNNAM0dpYBd8ztZqD8+j5O4+29B4IdBDo4EMKH9JTTA7wIT21D2l/rAOvgdewJoV6DQYBDAL40DOjDsCHAs2AZuBDJwVqUK+Bb8C3ceAbgA3RGtAMaDYNNEO0Nk71eiLWpE89AaM6ekkiJStVFgjP6rBT6pI6rvz0QLmtCxsXvFMd1Rvj4l5yZj+VOq+lbC5wncWPcpsVMu2Vv/rciSoxt81yi8uLcVUR6qERuw+59ywqzTPcuCuQI+3r0tUEe/33Rhf3mozTvLmD1F92f0Rfdn/LR6kYnhcq35SuQ4SRHf82Gt/tj4dodVcQsSRGO02bgrucG8qHqifPHEHjWuVT41zPwpAxR6tMrU5TZ+m5nsH/vuUCH9ItXAZd9Uy0R0Rf73SK1pNj+8UJtbeje898Vv3zhcm3rA2i1F1F1gL3s0c4D12v73PIZf271UDhg7gkjS8uP95hiSsrZ4f6uPyRZrj+Z3PxuFLJSiQyr0Rr8vMnC9KFXbkXpEpCfMICAAsA0BlnF/mDzgCaAc1AZ0wK1CA+Ad+Ab+PANwAbojWgGdBsGmiGaG2c4lPVe4f2kUfHbj4xNXjnTlgow/RgKpw1W87WsGK5FVeZXEtxa2XyhUfeRhojbi7/VO9Dv4hTYMvYJY/MdfHgEnItc/nxQ4Ca0paasC8d8Ax4RrB5friMYBNoBjRDsDkpUAM1CHwDvo0D3wBsiNaAZkCzaaAZorVxUoMvuI0nHiCG9HW4Uqu/u9z7+QR3Crf10G3WTBgl4g2Wh+yf3bdNsrqtoX1DyjPbJPnxzm2SHVO2+V/nxg3cU4FZDbPa6Gc1TGeI0YFmQLNpoBlidDCqwDfg21TxDcCGaA1oBjSbBpohWpsOoxpub9hzY8N+jlXTRpOhasT64VpmDmWG7nPoG5LXF7vX59o97KhcWSXZzsMxlu5of2X7fJKT73Dgfn0O3HFmopk8fMpW7kVKze0ee9jwwIJfXV3vnwr3iQjSGGWszNvg2P50WE4I39mhKTgDBS7Y35m2sHCMAUP39yD9EXgh8MIy8twiLiwjgWZAMywjJwVqIP2Bb8C3ceAbgA3RGtAMaDYNNEO0Nk7Sn/nXYrPQJE2RDxW8ZmApTxfF3cIR6PP6r3Wg9YvSusfFF8qdsXU7/zcuffG42jYsoOA3bygV95STljxqL4R3dTBCanon3ohfb22x8T++iHLw6zvxKSRzp3JlVq10vJF3bpVuaNaL4eSqIuxNcVna+k9KhRQbqa2SzQ5r8eaNKE3JlhPzWrFwV9+6dL1nrdzWm6errdRsN8ttqvKS+pa97Awcvhtxpt2StOq+VRAtc8GXznLv56diWab3ZB3vHl1G/YwO8vxw3bml/Cm+z3toZdDrX0stH2hhSOpkxbf1FtmdluuFzDYrtuHdrApb3FPusCClhTP42Giy1LrM94+lyqzKWXoauumWVSOp78s1O2EP5PrlN5c3qXeUsO+re5SHRavoynHxXiaraKc9c++iTkH4hjjyXvLO+Yf2mI/y+X2wj6/1upPa/3dEkRYyVdrJsM0/mzRXX9h9fS6UOih1XaWul4H20ZroEQBxHID4KT5l5C4bru7jaOascGXB79BMpzwKNcr27haQF78B6rhIbt32KI3bbvHFX4iAQ11YY2ONPfo1NhbXYAyBZkCzaaAZGEPou8A34NtU8Q3AhmgNaAY0mwaaIVobq767Jis7PTs0znCxBgK9vMxafOKyKDKSefxRXq6XpIdIx25E2Z/7Bo5zRf7+lyGXoi6MkEvWNQNr2RxHeTljvecoW6/tblrneIYOq+0kuQOV3SZNKyXwtOpbJG/0iPROUd/XssiOW7ddHoN2AkkOktzhklz7fQ3Qx58/zWcPqsikT39IdAiPm4HjE/B7LvaGHuH3i4weaCBouqUH0spuhXtel67J1fy52i5Yv5F+o4zWRUug+VwnceVe/DR3lx2HnTR7u3KEi5VIz6GQ2zeyrYMit9ukQcgm1+c7HQzNAf7mZg6CzIYSdaeSqF9wkOSkOJHSsry/56/xdhtLGa3J6u1x6NrtMFFFxkNE3pHdfm7q+3QAHr/F9XTWT3fgczQUAM4A58PBufeGGKF7DxmmKbGFXqTLhUoH9g8MN7UJcOp+7VZIvLhxcn+VPNWXMzmAv/DX1htyPWLnnVDhvPFXG9JJmxmi+zrc4QSCAAQB6M7zYwZAdwLNgGagOycFahCngW/At3HgG4AN0RrQDGg2DTRDtDZOcfqU8mabiRxgC6O8XDsm86YmMnew6J7vFIHv3EmlH4DvrWOQEcgH8nd/5wQd/+roeBiNwmgU8RbirXOLtxBoYfUINAOaTQPNsHoE1w98A75NFd8AbIjWgGZAs2mgGaK1cXL9MBqF0WjU7PDVg9GoPU+j0a4uBOkO0h2cR88eIeE8CudRLLqx6MaiGxQiKESgGdDstaIZKEQIvsA34NtU8Q3AhmgNaAY0mwaaIVobq+B7plZzcB49f+fRlt4DgQ4CHXxI4UN6iskBPqSn9iHtj3XgNfAa1qRQr8EggEEAH3pm1AH4UKAZ0Ax86KRADeo18A34Ng58A7AhWgOaAc2mgWaI1sapXk/EmtTVRfvXP+mUNKUiq06EbnSRkDFOvrC0MfWxp1SkpfZHnJVx6XE/KEq7KW0sE/Vhp7ZebE4xt07qSJVzsnWbsRgSNAx4UoLkxUSLiRbLhlHPsFg2AM2AZlg2TArUQPIC34Bv48A3ABuiNaAZ0GwaaIZobZwkLzwp4UkZNTsc1+BJaWNPyiB3SGtlsupW3LH9pVEKwPoj8kLkhXXkeYVcWEcCzYBmWEdOCtTA+gPfgG/jwDcAG6I1oBnQbBpohmjtb8T6751HRjXK+uXmt2qq76FxF1FY0mw5U1XGxcB1CgPbjRvW0vusqDXt9PzoJ3b94fp9qyO1kjuKLA7Ua5OFqBIuQ7r9usijt3JN9N1j2j+IXIl+VBkZxoI1pUpW6VBat59LprOX++W+LmpNxsr1RjyuKA+mM2JJ986V6BTWLlERd72ulnDmQt01xi/ffKiBTwcU1R8qj7b/m+qgg5n1Dga0KjMe9V5C63Z5Pn6QVbn3xxicxiGTRguSubjkNlOJuN0aBrPjCkQPlNtgScfZiPsgp8x5qy31+N+VIkAf5TYrZNrLdvW5v5iFc54ECUG4txlXltBfG9O9iwOC3Si/zyiT7pyJq+r60End3vXfG13cazKmKnX4svsj+rL7Wz5KxSi3cO3MNRSmoYHHrVlpx/PW8KjQxBVNLInhVNOm0Nbf9uJaZf+Eeaj70zNX6HBrcK/i9hFVB3cI0PT1FyTfEjKj1DuD5xkl6VBaYd95GJZeW80UPhg+BcOPdxyAkZWO24hjRx198T+bi8eVSlYicSOcbdPIT/MsBhd2RRVc42QM1ilYp4B1ObsFClgXoBnQDKzLpEANGhnwDfg2DnwDsCFaA5oBzaaBZojWxnoyZqeTeaw/MDV45zz+lWF6MPW0fc4HQcRyK64yuZbi1srkC4+8jTRG3Fz+qXZCv4hT4AMiSx6Z6+LBJeRa5vLjhwA1pS01wRkd8Ax4RrB5friMYBNoBjRDsDkpUAM1CHwDvo0D3wBsiNaAZkCzaaAZorVxUoMv8N6IB4ghfR32CnezXu0WbO5HdFsP3WbNhFEi3mB5yF7afdsk2XCk3UnqD4a3SfLjndskO9eCz3cbxRyxYTU4orj3BN8d5a6W3bsZs+W/zt2hdek3GFXMapjVEKOf3XSGGB1oBjRDjD4pUAOjCnwDvo0D3wBsiNaAZkCzaaAZorXpMKrBf3mAW2W/5NrHYD/HqmmjyVAerMM1mTJzKFNxmSp/KJKaa/1lp41zfa7dw47KlVXOLrx1f6S3izjByfeDXQAYnD78UHe+4BtSX9V55O/5Zxen8Qrh3Kg1hWRFleTFiYxC+i8IiTY1sGuw1/4SKq98aGqrb387KL9hPjMr3rnrfNR51naXki7CpaRxl+R7TD/5YTdsCRHy2L/ENJrFo8xEM3n4lE1u2Pp9Edj359nwwIJfXV3vnwpx9ygCLwReCLywjMQyEmgGNHutaIZlJEh/4Bvwbar4BmBDtAY0A5pNA80QrY2T9Mfdo7h79Dkd5PnhirtHp3736Dd6tVeqVqzu9ESRFjJV2gkLNH3wY5Pm+h6CHerMAfEylLpXp9T1MtA+WhM9AiCOAxA/xaeMjL91hNuImjkrXF/wOzTTKY9CjbK9uwXkxW+AOi6SW7c9SuO2W3zxFyLgUBfW2Fhjj36NjcU1GEOgGdBsGmgGxhD6LvAN+DZVfAOwIVoDmgHNpoFmiNbGqu+uycpOzw6NM1ysgUAvL7MWn7gsiozcXcLRV9ZL0kOkYzei7M99A8e5In//y5BLURdGyCXrmoG1bI6jvJyx3nOUrdd2N61zPEOH1XaS3IHKbpOmlRJ4WvUtkjd6RHqnqO9rWWRYjvN5DNoJJDlIcodLcu33NUAff/40nz2oIpM+/SHRITxuBo5PwO+52Bt6hN8vMnqggaDplh5IK7sV7nlduiZX8+dqu2D9RvqNMloXLYHmc53ElXvx09xddhx20uztyhEuViI9h0Ju38i2DorcbpMGIZtcn+90MDQH+JubOQgyG0rUnUqifsFBkpPiRErL8v6ev8bbbSxltCart8eha7fDRBUZDxF5R3b7uanv0wF4/BbX01k/3YHP0VAAOAOcDwfn3htihO49ZJimxBZ6kS4XKh3YPzDc1CbAqfu1WyHx4sbJ/VXyVF/O5AD+wl9bb8j1iJ13QoXzxl9tSCdtZoju63CHEwgCEASgO8+PGQDdCTQDmoHunBSoQZwGvgHfxoFvADZEa0AzoNk00AzR2jjF6VPKm20mcoAtjPJy7ZjMm5rI3MGie75TBL5zJ5V+AL63jkFGIB/I3/2dE3T8q6PjYTQKo1HEW4i3zi3eQqCF1SPQDGg2DTTD6hFcP/AN+DZVfAOwIVoDmgHNpoFmiNbGyfXDaBRGo1Gzw1cPRqP2PI1Gu7oQpDtId3AePXuEhPMonEex6MaiG4tuUIigEIFmQLPXimagECH4At+Ab1PFNwAbojWgGdBsGmiGaG2sgu+ZWs3BefT8nUdbeg8EOgh08CGFD+kpJgf4kJ7ah7Q/1oHXwGtYk0K9BoMABgF86JlRB+BDgWZAM/ChkwI1qNfAN+DbOPANwIZoDWgGNJsGmiFaG6d6PRFrUlcX7V//pFPSlIqsOhG60UVCxjj5wtLG1MeeUpGW2h9xVsalx/2gKO2mtLFM1Ied2nqxOcXcOqkjVc7J1m3GYkjQMOBJCZIXEy0mWiwbRj3DYtkANAOaYdkwKVADyQt8A76NA98AbIjWgGZAs2mgGaK1cZK88KSEJ2XU7HBcgyeljT0pg9whrZXJqltxx/aXRikA64/IC5EX1pHnFXJhHQk0A5phHTkpUAPrD3wDvo0D3wBsiNaAZkCzaaAZorW/Eeu/dx4Z1Sjrl5vfqqm+h8ZdRGFJs+VMVRkXA9cpDGw3blhL77Oi1rTT86Of2PWH6/etjtRK7iiyOFCvTRaiSrgM6fbrIo/eyjXRd49p/yByJfpRZWQYC9aUKlmlQ2ndfi6Zzl7ul/u6qDUZK9cb8biiPJjOiCXdO1eiU1i7REXc9bpawpkLddcYv3zzoQY+HVBUf6g82v5vqoMOZtY7GNCqzHjUewmt2+X5+EFW5d4fY3Aah0waLUjm4pLbTCXidmsYzI4rED1QboMlHWcj7oOcMuetttTjf18+SsVD/gOX+aPcZoVMe3mvPve3s3D2ZfUr4apKuNcaV6jQcRv3vYuD4rRW1qNozR0ycfW8f5qJ0nhG6IxSrM6w1N2n/nuji3tNxlSVGL7s/oi+7P6u62Lh6oIrPNivxS+K3NfaH7fGVgVFriBiSVzFmjaFtv6qmL+GpdFwjtzhG5+h+uzMUS5Tu6/6cSlz7+fuE87gnKl12h5fzbjMLxjZ8cGrugWeG+h8wuqWO9whA7yx6to/rrvj5SxHaJRWZ5C2nmCcDo3TlDI/SE9FEr50KeAy9JI1AK+W80QTh2MyawXoJ1sT/OBqbc9qwJWkGpKa5Np3smjw/e0ZjG5lP0NdHL+s7rZEe1293FoyJ1z87miSvLPu/d0bJezaaQ+C1qffOBLqNKrhEJLcs1kDO4ROukOoB93vlV2R9uuBN/WUE+0PahgfR9gpjig2Uhu3zqu+xLXtPuOZ0JaDXpDN7OoWLW6hE09xd1Jl7mNTJglRSml/mvm+1JqHAb/Ln6bmt7WuOPTZ+RagjPp4qywD1bgTQEOtHTpgv4lCHgfr9YqmuvGQ9pjy+o3Tmkow/WH6w/R3LtNf3zvlQ4Q/dSrJSub3ZGq3FLcUjG73PimRUa8p9xEaH6umO5jTCH3rUFoj8AhnSWtEX+/QGq0noDWGaA2XcEpWquy4LVBw7X91rv1xZqK4MnzKbDYf1gk3AvX3arRueg+G+VdX1/t3U8AtCnt3sHcHe3ewExE7EYFmQLPXimYj4WQnBWo4NwJ8A76NA98AbIjWgGZAs2mgGaI1uEXBLQpuUa9cDO+Oi9G7RZ3yypCOKNJCpko7Gb4ahHcK1CfHdl65DaUOSl1XqetloLPDKNrSAEAcBSB+irfVGH9O1Mn/zZwVNm78Ds10+DaCBqCdPBrCAGX4K6Nt724BefHb2s7k1m2PknfLPBRf/K6LZwXe1jVIPAiDnM3pQd/FGhtrbDCGZ7e4BmMINAOagTGcFKhB3wW+Ad/GgW8ANkRrQDOg2TTQDNHaWPXdaRorySXrmoG1bI6jvJyxrtu9w1ffNCdWutp2fI6nkn6ZPU2cjDtg6Pepm23TJk0rJfC06lskb/SI9E5R39eyyLAc5/MYtBNIcpDkDpfk2u+LDqpGnz/NZw+qyKRPf0h0CI+bgeMT8Hsu9oYe4feLjB5oIGi6pQfSym6Fe16XrsnV/LnaLli/kX6jjNZFS6D5XCdx5V78NJ/x3pCwk2ZvV45wsRLpORRy+0a2dVDkdps0CNnk+nyng6E5QOVJVqbufPqGEnWnkqhfcJDkpDiR0rK8v+ev8XYbSxmtyertceja7TBRRcZDRN6R3X5u6vt0AB6/xfV01k934HM0FADOAOfDwbn3hhihew8ZpimxhV6ky4VKB004hpo6+Gf4X7sVEi9unNxfJV+F8l+9nOwdgXJDrkdUT4ZnhvpndTppM0N0X3cBcRoEAQgC0J1nxwyA7gSaAc1Ad04K1CBOA9+Ab+PANwAbojWgGdBsGmiGaG2c4vQp5c02EznAFkZ5uXZM5k1NZO5g0T3fKQLfuZNKPwDfW8cgI5AP5O/+zgk6/tXR8TAahdEo4i3EW+cWbyHQwuoRaAY0mwaaYfUIrh/4BnybKr4B2BCtAc2AZtNAM0Rr4+T6YTQKo9Go2eGrB6NRe55Go11dCNIdpDs4j549QsJ5FM6jWHRj0Y1FNyhEUIhAM6DZa0UzUIgQfIFvwLep4huADdEa0AxoNg00Q7Q2VsH3TK3m4Dx6/s6jLb0HAh0EOviQwof0FJMDfEhP7UPaH+vAa+A1rEmhXoNBAIMAPvTMqAPwoUAzoBn40EmBGtRr4BvwbRz4BmBDtAY0A5pNA80QrY1TvZ6INelTT8Cojl6SSMlKlQXCszrslLqkjis/PVBu68LGBe9UR/XGuLiXnNlPpc5rKZsLXGfxo9xmhUx75a8+d6JKzG2z3OLyYlxVhHpoxG5/lIuby/Ht+8ddVLRniHJXOp9iVdSaba//3ujiXpNxAnjz+uqP6Mvub/koFWP1QuWb0vWOMMzj30aDvf3xEMfuCiKWxNCnaVNw/wuV8cLzaFzFfIScK10YMuZoyanVg+osPddN+N+3XOBD+ojLoKueg7tHaJKz7CHR1zudpPXk2H5yQmHu6N40n1X/fGHyLd+DKHVXkbX6/ez5zkMX8/vsc1kcbzVQ+CAuSWOay493+OXKyvahPkt/pFOu/9lcPK5UshKJzCtFm/zkymp1YVfuBamSUKawOsDqAFzH2S0LwHUAzYBm4DomBWpQpoBvwLdx4BuADdEa0AxoNg00Q7Q2TmWq6r1Dm8yjMzmfmBq8c8cvlGF6MBXOty1n31ix3IqrTK6luLUy+cIjbyONETeXf6o3qV/EKbCf7JJH5rp4cAm5lrn8+CFATWlLTdi0DngGPCPYPD9cRrAJNAOaIdicFKiBGgS+Ad/GgW8ANkRrQDOg2TTQDNHaOKnBF1zVEw8QQ/o63LfV33ruzX6CdYXbeug2ayaMEvEGy4sDZr592ySrqxza16c8s02SH+/cJtlxbJv/da7jwCUWmNUwq41+VsN0hhgdaAY0mwaaIUYHowp8A75NFd8AbIjWgGZAs2mgGaK16TCq4WqHPdc57OdYNW00GapGrB+uZeZQZuiyh75beX3re32u3cOOypVVkr0+HGPpjvZXntAnOfkOe+7XZ88dZyaaycOn7PNepNRc/bGHDQ8s+NXV9f6pcJ+III1Rxsq8DY7tT4flhPCdHZqCM1Dggv2daQsLxxgwdH8P0h+BFwIvLCPPLeLCMhJoBjTDMnJSoAbSH/gGfBsHvgHYEK0BzYBm00AzRGvjJP2Zfy02C03SFPlQwWsGlvJ0UdwtHIE+r/9aB1q/KK17XHyh3Llet/N/49IXj6ttwwIKfvOGUnFPOWnJo/ZCeFcHI6Smd+KN+PXWFhv/44soB7++E59CMncqV2bVSse7fOdW6YZmvRhOrirC3hSXpa3/pFRIsZHaKtnssBZv3ojSlGw5Ma8VC3cvrkvXe9bKbb15utpKzXaz3KYqL6lv2cvOwOG7EWfaLUmr7lsF0TIXfCMt935+KpZlek/Wez83N1U/o4M8P1x3bil/ii/7HloZ9PrXUssHWhiSOlnxVb5FdqfleiGzzYpteDerwhb3lDssSGnhDD42miy1bvr9Y6kyq3KWnoauwWXVSOr7cs3O2AO5fvm15k3qHSXs++qS5WHRKrqPXLyXySraac/cu6hTEL4hjry0vHP+oT3mo3x+H7zla73upHcDdESRFjJV2snwHQBs0lx9YffdulDqoNR1lbpeBtpHa6JHAMRxAOKn+JSRu4m4uqyjmbPCFQa/QzOd8ijUKNu7W0Be/Aao4yK5ddujNG67xRd/IQIOdWGNjTX26NfYWFyDMQSaAc2mgWZgDKHvAt+Ab1PFNwAbojWgGdBsGmiGaG2s+u6arOz07NA4w8UaCPTyMmvxicuiyEjm8Ud5uV6SHiIduxFlf+4bOM4V+ftfhlyKujBCLlnXDKxlcxzl5Yz1nqNsvba7aZ3jGTqstpPkDlR2mzStlMDTqm+RvNEj0jtFfV/LIjuu5HZ5DNoJJDlIcodLcu33NUAff/40nz2oIpM+/SHRITxuBo5PwO+52Bt6hN8vMnqggaDplh5IK7sV7nlduiZX8+dqu2D9RvqNMloXLYHmc53ElXvx09xddhx20uztyhEuViI9h0Ju38i2DorcbpMGIZtcn+90MDQH+JubOQgyG0rUnUqifsFBkpPiRErL8v6ev8bbbSxltCart8eha7fDRBUZDxF5R3b7uanv0wF4/BbX01k/3YHP0VAAOAOcDwfn3htihO49ZJimxBZ6kS4XKh3YPzDc1CbAqfu1WyHx4sbJ/VXyVF/O5AD+wl9bb8j1iJ13QoXzxl9tSCdtZoju63CHEwgCEASgO8+PGQDdCTQDmoHunBSoQZwGvgHfxoFvADZEa0AzoNk00AzR2jjF6VPKm20mcoAtjPJy7ZjMm5rI3MGie75TBL5zJ5V+AL63jkFGIB/I3/2dE3T8q6PjYTQKo1HEW4i3zi3eQqCF1SPQDGg2DTTD6hFcP/AN+DZVfAOwIVoDmgHNpoFmiNbGyfXDaBRGo1Gzw1cPRqP2PI1Gu7oQpDtId3AePXuEhPMonEex6MaiG4tuUIigEIFmQLPXimagECH4At+Ab1PFNwAbojWgGdBsGmiGaG2sgu+ZWs3BefT8nUdbeg8EOgh08CGFD+kpJgf4kJ7ah7Q/1oHXwGtYk0K9BoMABgF86JlRB+BDgWZAM/ChkwI1qNfAN+DbOPANwIZoDWgGNJsGmiFaG6d6PRFrUlcX7V//pFPSlIqsOhG60UVCxjj5wtLG1MeeUpGW2h9xVsalx/2gKO2mtLFM1Ied2nqxOcXcOqkjVc7J1m3GYkjQMOBJCZIXEy0mWiwbRj3DYtkANAOaYdkwKVADyQt8A76NA98AbIjWgGZAs2mgGaK1cZK88KSEJ2XU7HBcgyeljT0pg9whrZXJqltxx/aXRikA64/IC5EX1pHnFXJhHQk0A5phHTkpUAPrD3wDvo0D3wBsiNaAZkCzaaAZorW/Eeu/dx4Z1Sjrl5vfqqm+h8ZdRGFJs+VMVRkXA9cpDGw3blhL77Oi1rTT86Of2PWH6/etjtRK7iiyOFCvTRaiSrgM6fbrIo/eyjXRd49p/yByJfpRZWQYC9aUKlmlQ2ndfi6Zzl7ul/u6qDUZK9cb8biiPJjOiCXdO1eiU1i7REXc9bpawpkLddcYv3zzoQY+HVBUf6g82v5vqoMOZtY7GNCqzHjUewmt2+X5+EFW5d4fY3Aah0waLUjm4pLbTCXidmsYzI4rED1QboMlHWcj7oOcMuetttTjf1eKAH2U26yQaS/b1ef+YhbOeRIkBOHeZlxZQn9tTPe8BsU1LB+lYlhZuIrdP1tEpXhGr3SnT1wD1EdR6l5Q/73Rxb0mY6q6CF92f0RfHsrkL9HkNPC4NVfteN4aNBXGuKKJJTHIatoU2vo7YFxb7Z9GD/WEeuZiHW4j7mvcaqLq9g4XmhHwguRb8maUemdIPaMvHUo27Dslw4Jsq5nCB8NnY/jxjmMxslJ3G8nsqAMx/mdz8bhSyUokbtyzmRr5yZ8l4sKuqAJxnJfB6gWrF3AxZ7dsARcDNAOagYuZFKhBOQO+Ad/GgW8ANkRrQDOg2TTQDNHaWM/L7PQ3j1UJpgbvnPO/MkwPpp7Mz/l4iFhuxVUm11LcWpl84ZG3kcaIm8s/1f7oF3EKfGxkySNzXTy4hFzLXH78EKCmtKUm+KUDngHPCDbPD5cRbALNgGYINicFaqAGgW/At3HgG4AN0RrQDGg2DTRDtDZOavAFjhzxADGkr8MO4m7Wq92Cza2Jbuuh26yZMErEGywvDpj59m2TZBuSdiepPxjeJsmPd26T7FwWPt9tH3PEhtXgk+LeE9x4lLtwdu9mzJYrO3eH1lXgYFQxq2FWQ4x+dtMZYnSgGdAMMfqkQA2MKvAN+DYOfAOwIVoDmgHNpoFmiNamw6gGV+YBbpVdlGt3g/0cq6aNJkN5MBTXZMrMoUzFZar8oUhqrvWXnebO9bl2DzsqV1Y5E/HWrZLeROIEJ98PdgFgcPrwQ935gptIfYHnkb/nn12cxkGEc6PWFJIVVZIXJ7IP6b8gJNrUwK7BXvtLqLxyp6kNwP2dofyG+cyseOeuc1fnWdtdVboIV5XGXZJvN/3kh92wJUTIY/9q02gWjzITzeThU7a+YUP4RWDfn2fDAwt+dXW9fyrEjaQIvBB4IfDCMhLLSKAZ0Oy1ohmWkSD9gW/At6niG4AN0RrQDGg2DTRDtDZO0h83kuJG0ud0kOeHK24knfqNpN/o4F6pWrG60xNFWshUaScs0PTBj02a69sJdqgzB8TLUOpenVLXy0D7aE30CIA4DkD8FJ8yMv4uEm4jauascKnB79BMpzwKNcr27haQF78B6rhIbt32KI3bbvHFX4iAQ11YY2ONPfo1NhbXYAyBZkCzaaAZGEPou8A34NtU8Q3AhmgNaAY0mwaaIVobq767Jis7PTs0znCxBgK9vMxafOKyKDJyNwxHX1kvSQ+Rjt2Isj/3DRznivz9L0MuRV0YIZesawbWsjmO8nLGes9Rtl7b3bTO8QwdVttJcgcqu02aVkrgadW3SN7oEemdor6vZZFhOc7nMWgnkOQgyR0uybXf1wB9/PnTfPagikz69IdEh/C4GTg+Ab/nYm/oEX6/yOiBBoKmW3ogrexWuOd16ZpczZ+r7YL1G+k3ymhdtASaz3USV+7FT3N32XHYSbO3K0e4WIn0HAq5fSPbOihyu00ahGxyfb7TwdAc4G9u5iDIbChRdyqJ+gUHSU6KEykty/t7/hpvt7GU0Zqs3h6Hrt0OE1VkPETkHdnt56a+Twfg8VtcT2f9dAc+R0MB4AxwPhyce2+IEbr3kGGaElvoRbpcqHRg/8BwU5sAp+7XboXEixsn91fJU305kwP4C39tvSHXI3beCRXOG3+1IZ20mSG6r8MdTiAIQBCA7jw/ZgB0J9AMaAa6c1KgBnEa+AZ8Gwe+AdgQrQHNgGbTQDNEa+MUp08pb7aZyAG2MMrLtWMyb2oicweL7vlOEfjOnVT6AfjeOgYZgXwgf/d3TtDxr46Oh9EojEYRbyHeOrd4C4EWVo9AM6DZNNAMq0dw/cA34NtU8Q3AhmgNaAY0mwaaIVobJ9cPo1EYjUbNDl89GI3a8zQa7epCkO4g3cF59OwREs6jcB7FohuLbiy6QSGCQgSaAc1eK5qBQoTgC3wDvk0V3wBsiNaAZkCzaaAZorWxCr5najUH59Hzdx5t6T0Q6CDQwYcUPqSnmBzgQ3pqH9L+WAdeA69hTQr1GgwCGATwoWdGHYAPBZoBzcCHTgrUoF4D34Bv48A3ABuiNaAZ0GwaaIZobZzq9USsSV1dtH/9k05JUyqy6kToRhcJGePkC0sbUx97SkVaan/EWRmXHveDorSb0sYyUR92auvF5hRz66SOVDknW7cZiyFBw4AnJUheTLSYaLFsGPUMi2UD0AxohmXDpEANJC/wDfg2DnwDsCFaA5oBzaaBZojWxknywpMSnpRRs8NxDZ6UNvakDHKHtFYmq27FHdtfGqUArD8iL0ReWEeeV8iFdSTQDGiGdeSkQA2sP/AN+DYOfAOwIVoDmgHNpoFmiNb+Rqz/3nlkVKOsX25+q6b6Hhp3EYUlzZYzVWVcDFynMLDduGEtvc+KWtNOz49+Ytcfrt+3OlIruaPI4kC9NlmIKuEypNuvizx6K9dE3z2m/YPIlehHlZFhLFhTqmSVDqV1+7lkOnu5X+7rotZkrFxvxOOK8mA6I5Z071yJTmHtEhVx1+tqCWcu1F1j/PLNhxr4dEBR/aHyaPu/qQ46mFnvYECrMuNR7yW0bpfn4wdZlXt/jMFpHDJptCCZi0tuM5WI261hMDuuQPRAuQ2WdJyNuA9yypy32lKP/335KBUP+Q9c5o9ymxUy7eW9+tzfzsLZl9WvhKsq4V5rXKFCx23c9y5mAyc03vNP3gQvqU31hujshEvUTaPH1UGV1LMld2//hqp9NtFbq0muv1+V+ZdeDfpnrCs2FZQEMaYR/qrTLP/83XfDhy04R2TCFTIyU6kb/jLjUUXprHVYQ242mfI+iW//o5J/TbKi9aAjWXv+MFbaMlZ8uLPek+4V7X98+vRR+G87I7BZM33tg+D3bNgm3JdZUjWrQlthyvVa6m2NyM7UTTyuVLJipYwLrZXki3B8COSfu/e4Tmalyg59s/82vzor8nvSYlWuZf5Gk0zlMiMR/aaVncoOyUr2jdr7rthr0817vjCJZMxk4ThtGS+tC018RZtDSX5zYy4XhkuRJKX2U2c7X8f06KqF69YKlRf1cVdNOypPt4w5OQ+XHz9ciJuivF9lW3FXZFnxaMTNj9+Lf/lv3/2Lm8joq+Q+H/evf/7uu0jdlam48V28yc+BPb8aOf/0r8MjJ8kUj7wVh+R+oi3EWubbOmEPX+JePVAu5LooqxhDtVxLMagwqM5hUP3Tv7Y2J4hr7unVyDLx0PpfRekX8fQ1IeIFpgv8pSW/nr8QHzOShoTVWyHvpcpFJi3peqb6L7tmKkP6gbRbtpYc5vDcl4syp68bSniHDVXVgKGFoXVGQ+u/xPOVW57zovXW9/bm/dXwuux3+boy0gvxU6mFJbl2s9KSKBd54S5CTJtjzRUj0mP3nkkYgwqD6rwG1XdDbztgCLlRwl1N3hsujVuTDe5ONeWa2syKX3EHI4BmP16zcP05/3fmHKTgZZ4bpN7G1XXzX+tF8MItgn8VaemIrA3labM0dvVSxZ5GpbED/dyfu6c8dbxbty+YcrlWvsk97zBoYy8Kx5+taMs7agX32i1T8Bup5Zo3Txon3PptmjNX+prkmL2bbaRdDRJjjSFwVWHcN7kOOe2m/1hd0ryPJ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api-method",info_path:"docs/api-experimental/llama-stack-specification-experimental-apis",custom_edit_url:null},h=void 0,f={},b=[];function x(t){const e={code:"code",p:"p",...(0,n.R)(),...t.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(y.default,{as:"h1",className:"openapi__heading",children:"Resume an agent turn with executed tool call responses."}),"\n",(0,r.jsx)(s(),{method:"post",path:"/v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}/resume",context:"endpoint"}),"\n",(0,r.jsxs)(e.p,{children:["Resume an agent turn with executed tool call responses.\nWhen a Turn has the status ",(0,r.jsx)(e.code,{children:"awaiting_input"})," due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready."]}),"\n",(0,r.jsx)(y.default,{id:"request",as:"h2",className:"openapi-tabs__heading",children:"Request"}),"\n",(0,r.jsx)(d(),{parameters:[{name:"agent_id",in:"path",description:"The ID of the agent to resume.",required:!0,schema:{type:"string"}},{name:"session_id",in:"path",description:"The ID of the session to resume.",required:!0,schema:{type:"string"}},{name:"turn_id",in:"path",description:"The ID of the turn to resume.",required:!0,schema:{type:"string"}}]}),"\n",(0,r.jsx)(m(),{title:"Body",body:{content:{"application/json":{schema:{type:"object",properties:{tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool call responses to resume the turn with."},stream:{type:"boolean",description:"Whether to stream the response."}},additionalProperties:!1,required:["tool_responses"],title:"ResumeAgentTurnRequest"}}},required:!0}}),"\n",(0,r.jsx)(g(),{id:void 0,label:void 0,responses:{200:{description:"A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects.",content:{"application/json":{schema:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},"text/event-stream":{schema:{type:"object",properties:{event:{description:"Individual event in the agent turn response stream",type:"object",properties:{payload:{oneOf:[{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. 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Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. 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Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnAwaitingInputPayload",description:"Payload for turn awaiting input events in agent turn responses."}],discriminator:{propertyName:"event_type",mapping:{step_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_start",default:"step_start",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata for the step"}},additionalProperties:!1,required:["event_type","step_type","step_id"],title:"AgentTurnResponseStepStartPayload",description:"Payload for step start events in agent turn responses."},step_progress:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_progress",default:"step_progress",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},delta:{oneOf:[{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}],discriminator:{propertyName:"type",mapping:{text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the delta. Always "text"'},text:{type:"string",description:"The incremental text content"}},additionalProperties:!1,required:["type","text"],title:"TextDelta",description:"A text content delta for streaming responses."},image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the delta. Always "image"'},image:{type:"string",contentEncoding:"base64",description:"The incremental image data as bytes"}},additionalProperties:!1,required:["type","image"],title:"ImageDelta",description:"An image content delta for streaming responses."},tool_call:{type:"object",properties:{type:{type:"string",const:"tool_call",default:"tool_call",description:'Discriminator type of the delta. Always "tool_call"'},tool_call:{oneOf:[{type:"string"},{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"}],description:"Either an in-progress tool call string or the final parsed tool call"},parse_status:{type:"string",enum:["started","in_progress","failed","succeeded"],description:"Current parsing status of the tool call"}},additionalProperties:!1,required:["type","tool_call","parse_status"],title:"ToolCallDelta",description:"A tool call content delta for streaming responses."}}},description:"Incremental content changes during step execution"}},additionalProperties:!1,required:["event_type","step_type","step_id","delta"],title:"AgentTurnResponseStepProgressPayload",description:"Payload for step progress events in agent turn responses."},step_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"step_complete",default:"step_complete",description:"Type of event being reported"},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],description:"Type of step being executed"},step_id:{type:"string",description:"Unique identifier for the step within a turn"},step_details:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}},description:"Complete details of the executed step"}},additionalProperties:!1,required:["event_type","step_type","step_id","step_details"],title:"AgentTurnResponseStepCompletePayload",description:"Payload for step completion events in agent turn responses."},turn_start:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_start",default:"turn_start",description:"Type of event being reported"},turn_id:{type:"string",description:"Unique identifier for the turn within a session"}},additionalProperties:!1,required:["event_type","turn_id"],title:"AgentTurnResponseTurnStartPayload",description:"Payload for turn start events in agent turn responses."},turn_complete:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_complete",default:"turn_complete",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},shield_call:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},memory_retrieval:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}}}},description:"Ordered list of processing steps executed during this turn"},output_message:{description:"The model's generated response containing content and metadata",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"},output_attachments:{type:"array",items:{type:"object",properties:{content:{oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}},{type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL",description:"A URL reference to external content."}],description:"The content of the attachment."},mime_type:{type:"string",description:"The MIME type of the attachment."}},additionalProperties:!1,required:["content","mime_type"],title:"Attachment",description:"An attachment to an agent turn."},description:"(Optional) Files or media attached to the agent's response"},started_at:{type:"string",format:"date-time",description:"Timestamp when the turn began"},completed_at:{type:"string",format:"date-time",description:"(Optional) Timestamp when the turn finished, if completed"}},additionalProperties:!1,required:["turn_id","session_id","input_messages","steps","output_message","started_at"],title:"Turn",description:"A single turn in an interaction with an Agentic System."}},additionalProperties:!1,required:["event_type","turn"],title:"AgentTurnResponseTurnCompletePayload",description:"Payload for turn completion events in agent turn responses."},turn_awaiting_input:{type:"object",properties:{event_type:{type:"string",enum:["step_start","step_complete","step_progress","turn_start","turn_complete","turn_awaiting_input"],const:"turn_awaiting_input",default:"turn_awaiting_input",description:"Type of event being reported"},turn:{type:"object",properties:{turn_id:{type:"string",description:"Unique identifier for the turn within a session"},session_id:{type:"string",description:"Unique identifier for the conversation session"},input_messages:{type:"array",items:{oneOf:[{type:"object",properties:{role:{type:"string",const:"user",default:"user",description:'Must be "user" to identify this as a user message'},content:{description:"The content of the message, which can include text and other media",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},context:{description:"(Optional) This field is used internally by Llama Stack to pass RAG context. This field may be removed in the API in the future.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","content"],title:"UserMessage",description:"A message from the user in a chat conversation."},{type:"object",properties:{role:{type:"string",const:"tool",default:"tool",description:'Must be "tool" to identify this as a tool response'},call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["role","call_id","content"],title:"ToolResponseMessage",description:"A message representing the result of a tool invocation."}]},description:"List of messages that initiated this turn"},steps:{type:"array",items:{oneOf:[{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"(Optional) Additional metadata about the tool response"}},additionalProperties:!1,required:["call_id","tool_name","content"],title:"ToolResponse",description:"Response from a tool invocation."},description:"The tool responses from the tool calls."}},additionalProperties:!1,required:["turn_id","step_id","step_type","tool_calls","tool_responses"],title:"ToolExecutionStep",description:"A tool execution step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"shield_call",default:"shield_call"},violation:{description:"The violation from the shield call.",type:"object",properties:{violation_level:{description:"Severity level of the violation",type:"string",enum:["info","warn","error"],title:"ViolationLevel"},user_message:{type:"string",description:"(Optional) Message to convey to the user about the violation"},metadata:{type:"object",additionalProperties:{oneOf:[{type:"null"},{type:"boolean"},{type:"number"},{type:"string"},{type:"array"},{type:"object"}]},description:"Additional metadata including specific violation codes for debugging and telemetry"}},additionalProperties:!1,required:["violation_level","metadata"],title:"SafetyViolation"}},additionalProperties:!1,required:["turn_id","step_id","step_type"],title:"ShieldCallStep",description:"A shield call step in an agent turn."},{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"memory_retrieval",default:"memory_retrieval"},vector_db_ids:{type:"string",description:"The IDs of the vector databases to retrieve context from."},inserted_context:{description:"The context retrieved from the vector databases.",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"}},additionalProperties:!1,required:["turn_id","step_id","step_type","vector_db_ids","inserted_context"],title:"MemoryRetrievalStep",description:"A memory retrieval step in an agent turn."}],discriminator:{propertyName:"step_type",mapping:{inference:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"inference",default:"inference"},model_response:{description:"The response from the LLM.",type:"object",properties:{role:{type:"string",const:"assistant",default:"assistant",description:'Must be "assistant" to identify this as the model\'s response'},content:{description:"The content of the model's response",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"}}],title:"InterleavedContent"},stop_reason:{type:"string",enum:["end_of_turn","end_of_message","out_of_tokens"],description:"Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: The model finished generating the entire response. - `StopReason.end_of_message`: The model finished generating but generated a partial response -- usually, a tool call. The user may call the tool and continue the conversation with the tool's response. - `StopReason.out_of_tokens`: The model ran out of token budget."},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"List of tool calls. Each tool call is a ToolCall object."}},additionalProperties:!1,required:["role","content","stop_reason"],title:"CompletionMessage"}},additionalProperties:!1,required:["turn_id","step_id","step_type","model_response"],title:"InferenceStep",description:"An inference step in an agent turn."},tool_execution:{type:"object",properties:{turn_id:{type:"string",description:"The ID of the turn."},step_id:{type:"string",description:"The ID of the step."},started_at:{type:"string",format:"date-time",description:"The time the step started."},completed_at:{type:"string",format:"date-time",description:"The time the step completed."},step_type:{type:"string",enum:["inference","tool_execution","shield_call","memory_retrieval"],title:"StepType",description:"Type of the step in an agent turn.",const:"tool_execution",default:"tool_execution"},tool_calls:{type:"array",items:{type:"object",properties:{call_id:{type:"string"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}]},arguments:{type:"string"}},additionalProperties:!1,required:["call_id","tool_name","arguments"],title:"ToolCall"},description:"The tool calls to execute."},tool_responses:{type:"array",items:{type:"object",properties:{call_id:{type:"string",description:"Unique identifier for the tool call this response is for"},tool_name:{oneOf:[{type:"string",enum:["brave_search","wolfram_alpha","photogen","code_interpreter"],title:"BuiltinTool"},{type:"string"}],description:"Name of the tool that was invoked"},content:{description:"The response content from the tool",oneOf:[{type:"string"},{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}],discriminator:{propertyName:"type",mapping:{image:{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. Always "image"'},image:{type:"object",properties:{url:{description:"A URL of the image or data URL in the format of data:image/{type};base64,{data}. Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. Always "text"'},text:{type:"string",description:"Text content"}},additionalProperties:!1,required:["type","text"],title:"TextContentItem",description:"A text content item"}}},title:"InterleavedContentItem"},{type:"array",items:{oneOf:[{type:"object",properties:{type:{type:"string",const:"image",default:"image",description:'Discriminator type of the content item. 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Note that URL could have length limits.",type:"object",properties:{uri:{type:"string",description:"The URL string pointing to the resource"}},additionalProperties:!1,required:["uri"],title:"URL"},data:{type:"string",contentEncoding:"base64",description:"base64 encoded image data as string"}},additionalProperties:!1,description:"Image as a base64 encoded string or an URL"}},additionalProperties:!1,required:["type","image"],title:"ImageContentItem",description:"A image content item"},text:{type:"object",properties:{type:{type:"string",const:"text",default:"text",description:'Discriminator type of the content item. 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For example, if you are running Docker you can use the\nfollowing command:"}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"docker run -it \\\n --pull always \\\n -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\\n -v ~/.llama:/root/.llama \\\n -e OLLAMA_URL=http://host.docker.internal:11434 \\\n llamastack/distribution-starter \\\n --port $LLAMA_STACK_PORT\n"})}),(0,s.jsxs)(n.p,{children:["Note to start the container with Podman, you can do the same but replace ",(0,s.jsx)(n.code,{children:"docker"})," at the start of the command with\n",(0,s.jsx)(n.code,{children:"podman"}),". 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Then set up a new or activate your\nexisting server virtual environment."}),"\n",(0,s.jsxs)(o.A,{children:[(0,s.jsx)(r.default,{value:"reuse",label:"Reuse Server venv",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"# The client is included in the llama-stack package so we just activate the server venv\nsource .venv/bin/activate\n"})})}),(0,s.jsx)(r.default,{value:"install",label:"Install with venv",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"uv venv client --python 3.12\nsource client/bin/activate\npip install llama-stack-client\n"})})})]}),"\n",(0,s.jsxs)(n.p,{children:["Now let's use the ",(0,s.jsx)(n.code,{children:"llama-stack-client"})," ",(0,s.jsx)(n.a,{href:"../references/llama_stack_client_cli_reference",children:"CLI"})," to check the\nconnectivity to the server."]}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama-stack-client configure --endpoint http://localhost:8321 --api-key none\n"})}),"\n",(0,s.jsx)(n.p,{children:"You will see the below:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{children:"Done! You can now use the Llama Stack Client CLI with endpoint http://localhost:8321\n"})}),"\n",(0,s.jsx)(n.p,{children:"List the models"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"llama-stack-client models list\nAvailable Models\n\n\u250f\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2533\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2513\n\u2503 model_type \u2503 identifier \u2503 provider_resource_id \u2503 metadata \u2503 provider_id \u2503\n\u2521\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2547\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2501\u2529\n\u2502 embedding \u2502 ollama/nomic-embed-text:v1.5 \u2502 nomic-embed-text:v1.5 \u2502 {'embedding_dimension': 768.0} \u2502 ollama \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 ... \u2502 ... \u2502 ... \u2502 \u2502 ... \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 llm \u2502 ollama/Llama-3.2:3b \u2502 llama3.2:3b \u2502 \u2502 ollama \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n\n"})}),"\n",(0,s.jsx)(n.p,{children:"You can test basic Llama inference completion using the CLI."}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:'llama-stack-client inference chat-completion --model-id "ollama/llama3.2:3b" --message "tell me a joke"\n\n'})}),"\n",(0,s.jsx)(n.p,{children:"Sample output:"}),"\n",(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'OpenAIChatCompletion(\n id="chatcmpl-08d7b2be-40f3-47ed-8f16-a6f29f2436af",\n choices=[\n OpenAIChatCompletionChoice(\n finish_reason="stop",\n index=0,\n message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(\n role="assistant",\n content="Why couldn\'t the bicycle stand up by itself?\\n\\nBecause it was two-tired.",\n name=None,\n tool_calls=None,\n refusal=None,\n annotations=None,\n audio=None,\n function_call=None,\n ),\n logprobs=None,\n )\n ],\n created=1751725254,\n model="llama3.2:3b",\n object="chat.completion",\n service_tier=None,\n system_fingerprint="fp_ollama",\n usage={\n "completion_tokens": 18,\n "prompt_tokens": 29,\n "total_tokens": 47,\n "completion_tokens_details": None,\n "prompt_tokens_details": None,\n },\n)\n'})}),"\n",(0,s.jsx)(n.h3,{id:"step-4-run-the-demos",children:"Step 4: Run the Demos"}),"\n",(0,s.jsxs)(n.p,{children:["Note that these demos show the ",(0,s.jsx)(n.a,{href:"../references/python_sdk_reference/",children:"Python Client SDK"}),".\nOther SDKs are also available, please refer to the ",(0,s.jsx)(n.a,{href:"/docs/",children:"Client SDK"})," list for the complete options."]}),"\n",(0,s.jsxs)(o.A,{children:[(0,s.jsxs)(r.default,{value:"inference",label:"Basic Inference",children:[(0,s.jsx)(n.p,{children:"Now you can run inference using the Llama Stack client SDK."}),(0,s.jsx)(n.h4,{id:"i-create-the-script",children:"i. Create the Script"}),(0,s.jsxs)(n.p,{children:["Create a file ",(0,s.jsx)(n.code,{children:"inference.py"})," and add the following code:"]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import LlamaStackClient\n\nclient = LlamaStackClient(base_url="http://localhost:8321")\n\n# List available models\nmodels = client.models.list()\n\n# Select the first LLM\nllm = next(m for m in models if m.model_type == "llm" and m.provider_id == "ollama")\nmodel_id = llm.identifier\n\nprint("Model:", model_id)\n\nresponse = client.chat.completions.create(\n model=model_id,\n messages=[\n {"role": "system", "content": "You are a helpful assistant."},\n {"role": "user", "content": "Write a haiku about coding"},\n ],\n)\nprint(response)\n'})}),(0,s.jsx)(n.h4,{id:"ii-run-the-script",children:"ii. Run the Script"}),(0,s.jsxs)(n.p,{children:["Let's run the script using ",(0,s.jsx)(n.code,{children:"uv"})]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"uv run python inference.py\n"})}),(0,s.jsx)(n.p,{children:"Which will output:"}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{children:"Model: ollama/llama3.2:3b\nOpenAIChatCompletion(id='chatcmpl-30cd0f28-a2ad-4b6d-934b-13707fc60ebf', choices=[OpenAIChatCompletionChoice(finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(role='assistant', content=\"Lines of code unfold\\nAlgorithms dance with ease\\nLogic's gentle kiss\", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None), logprobs=None)], created=1751732480, model='llama3.2:3b', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={'completion_tokens': 16, 'prompt_tokens': 37, 'total_tokens': 53, 'completion_tokens_details': None, 'prompt_tokens_details': None})\n"})})]}),(0,s.jsxs)(r.default,{value:"agent",label:"Build a Simple Agent",children:[(0,s.jsx)(n.p,{children:"Next we can move beyond simple inference and build an agent that can perform tasks using the Llama Stack server."}),(0,s.jsx)(n.h4,{id:"i-create-the-script-1",children:"i. Create the Script"}),(0,s.jsxs)(n.p,{children:["Create a file ",(0,s.jsx)(n.code,{children:"agent.py"})," and add the following code:"]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import LlamaStackClient\nfrom llama_stack_client import Agent, AgentEventLogger\nfrom rich.pretty import pprint\nimport uuid\n\nclient = LlamaStackClient(base_url=f"http://localhost:8321")\n\nmodels = client.models.list()\nllm = next(m for m in models if m.model_type == "llm" and m.provider_id == "ollama")\nmodel_id = llm.identifier\n\nagent = Agent(client, model=model_id, instructions="You are a helpful assistant.")\n\ns_id = agent.create_session(session_name=f"s{uuid.uuid4().hex}")\n\nprint("Non-streaming ...")\nresponse = agent.create_turn(\n messages=[{"role": "user", "content": "Who are you?"}],\n session_id=s_id,\n stream=False,\n)\nprint("agent>", response.output_message.content)\n\nprint("Streaming ...")\nstream = agent.create_turn(\n messages=[{"role": "user", "content": "Who are you?"}], session_id=s_id, stream=True\n)\nfor event in stream:\n pprint(event)\n\nprint("Streaming with print helper...")\nstream = agent.create_turn(\n messages=[{"role": "user", "content": "Who are you?"}], session_id=s_id, stream=True\n)\nfor event in AgentEventLogger().log(stream):\n event.print()\n'})}),(0,s.jsx)(n.h4,{id:"ii-run-the-script-1",children:"ii. Run the Script"}),(0,s.jsxs)(n.p,{children:["Let's run the script using ",(0,s.jsx)(n.code,{children:"uv"})]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"uv run python agent.py\n"})}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-{dropdown}",metastring:"\ud83d\udc4b Click here to see the sample output",children:" Non-streaming ...\n agent> I'm an artificial intelligence designed to assist and communicate with users like you. I don't have a personal identity, but I can provide information, answer questions, and help with tasks to the best of my abilities.\n\n I'm a large language model, which means I've been trained on a massive dataset of text from various sources, allowing me to understand and respond to a wide range of topics and questions. My purpose is to provide helpful and accurate information, and I'm constantly learning and improving my responses based on the interactions I have with users like you.\n\n I can help with:\n\n * Answering questions on various subjects\n * Providing definitions and explanations\n * Offering suggestions and ideas\n * Assisting with language-related tasks, such as proofreading and editing\n * Generating text and content\n * And more!\n\n Feel free to ask me anything, and I'll do my best to help!\n Streaming ...\n AgentTurnResponseStreamChunk(\n \u2502 event=TurnResponseEvent(\n \u2502 \u2502 payload=AgentTurnResponseStepStartPayload(\n \u2502 \u2502 \u2502 event_type='step_start',\n \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 step_type='inference',\n \u2502 \u2502 \u2502 metadata={}\n \u2502 \u2502 )\n \u2502 )\n )\n AgentTurnResponseStreamChunk(\n \u2502 event=TurnResponseEvent(\n \u2502 \u2502 payload=AgentTurnResponseStepProgressPayload(\n \u2502 \u2502 \u2502 delta=TextDelta(text='As', type='text'),\n \u2502 \u2502 \u2502 event_type='step_progress',\n \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 step_type='inference'\n \u2502 \u2502 )\n \u2502 )\n )\n AgentTurnResponseStreamChunk(\n \u2502 event=TurnResponseEvent(\n \u2502 \u2502 payload=AgentTurnResponseStepProgressPayload(\n \u2502 \u2502 \u2502 delta=TextDelta(text=' a', type='text'),\n \u2502 \u2502 \u2502 event_type='step_progress',\n \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 step_type='inference'\n \u2502 \u2502 )\n \u2502 )\n )\n ...\n AgentTurnResponseStreamChunk(\n \u2502 event=TurnResponseEvent(\n \u2502 \u2502 payload=AgentTurnResponseStepCompletePayload(\n \u2502 \u2502 \u2502 event_type='step_complete',\n \u2502 \u2502 \u2502 step_details=InferenceStep(\n \u2502 \u2502 \u2502 \u2502 api_model_response=CompletionMessage(\n \u2502 \u2502 \u2502 \u2502 \u2502 content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface \u2013 I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?',\n \u2502 \u2502 \u2502 \u2502 \u2502 role='assistant',\n \u2502 \u2502 \u2502 \u2502 \u2502 stop_reason='end_of_turn',\n \u2502 \u2502 \u2502 \u2502 \u2502 tool_calls=[]\n \u2502 \u2502 \u2502 \u2502 ),\n \u2502 \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 \u2502 step_type='inference',\n \u2502 \u2502 \u2502 \u2502 turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca',\n \u2502 \u2502 \u2502 \u2502 completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 716174, tzinfo=TzInfo(UTC)),\n \u2502 \u2502 \u2502 \u2502 started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28823, tzinfo=TzInfo(UTC))\n \u2502 \u2502 \u2502 ),\n \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 step_type='inference'\n \u2502 \u2502 )\n \u2502 )\n )\n AgentTurnResponseStreamChunk(\n \u2502 event=TurnResponseEvent(\n \u2502 \u2502 payload=AgentTurnResponseTurnCompletePayload(\n \u2502 \u2502 \u2502 event_type='turn_complete',\n \u2502 \u2502 \u2502 turn=Turn(\n \u2502 \u2502 \u2502 \u2502 input_messages=[UserMessage(content='Who are you?', role='user', context=None)],\n \u2502 \u2502 \u2502 \u2502 output_message=CompletionMessage(\n \u2502 \u2502 \u2502 \u2502 \u2502 content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface \u2013 I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?',\n \u2502 \u2502 \u2502 \u2502 \u2502 role='assistant',\n \u2502 \u2502 \u2502 \u2502 \u2502 stop_reason='end_of_turn',\n \u2502 \u2502 \u2502 \u2502 \u2502 tool_calls=[]\n \u2502 \u2502 \u2502 \u2502 ),\n \u2502 \u2502 \u2502 \u2502 session_id='abd4afea-4324-43f4-9513-cfe3970d92e8',\n \u2502 \u2502 \u2502 \u2502 started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28722, tzinfo=TzInfo(UTC)),\n \u2502 \u2502 \u2502 \u2502 steps=[\n \u2502 \u2502 \u2502 \u2502 \u2502 InferenceStep(\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 api_model_response=CompletionMessage(\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface \u2013 I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 role='assistant',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 stop_reason='end_of_turn',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 tool_calls=[]\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 ),\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 step_id='69831607-fa75-424a-949b-e2049e3129d1',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 step_type='inference',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca',\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 716174, tzinfo=TzInfo(UTC)),\n \u2502 \u2502 \u2502 \u2502 \u2502 \u2502 started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28823, tzinfo=TzInfo(UTC))\n \u2502 \u2502 \u2502 \u2502 \u2502 )\n \u2502 \u2502 \u2502 \u2502 ],\n \u2502 \u2502 \u2502 \u2502 turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca',\n \u2502 \u2502 \u2502 \u2502 completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 727364, tzinfo=TzInfo(UTC)),\n \u2502 \u2502 \u2502 \u2502 output_attachments=[]\n \u2502 \u2502 \u2502 )\n \u2502 \u2502 )\n \u2502 )\n )\n\n\n Streaming with print helper...\n inference> D\xe9j\xe0 vu! You're asking me again!\n\n As I mentioned earlier, I'm a computer program designed to simulate conversation and answer questions. I don't have a personal identity or consciousness like a human would. I exist solely as a digital entity, running on computer servers and responding to inputs from users like you.\n\n I'm a type of artificial intelligence (AI) called a large language model, which means I've been trained on a massive dataset of text from various sources. This training allows me to understand and respond to a wide range of questions and topics.\n\n My purpose is to provide helpful and accurate information, answer questions, and assist users like you with tasks and conversations. I don't have personal preferences, emotions, or opinions like humans do. My goal is to be informative, neutral, and respectful in my responses.\n\n So, that's me in a nutshell!\n"})})]}),(0,s.jsxs)(r.default,{value:"rag",label:"Build a RAG Agent",children:[(0,s.jsx)(n.p,{children:"For our last demo, we can build a RAG agent that can answer questions about the Torchtune project using the documents\nin a vector database."}),(0,s.jsx)(n.h4,{id:"i-create-the-script-2",children:"i. Create the Script"}),(0,s.jsxs)(n.p,{children:["Create a file ",(0,s.jsx)(n.code,{children:"rag_agent.py"})," and add the following code:"]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'from llama_stack_client import LlamaStackClient\nfrom llama_stack_client import Agent, AgentEventLogger\nfrom llama_stack_client.types import Document\nimport uuid\n\nclient = LlamaStackClient(base_url="http://localhost:8321")\n\n# Create a vector database instance\nembed_lm = next(m for m in client.models.list() if m.model_type == "embedding")\nembedding_model = embed_lm.identifier\nvector_db_id = f"v{uuid.uuid4().hex}"\n# The VectorDB API is deprecated; the server now returns its own authoritative ID.\n# We capture the correct ID from the response\'s .identifier attribute.\nvector_db_id = client.vector_dbs.register(\n vector_db_id=vector_db_id,\n embedding_model=embedding_model,\n).identifier\n\n# Create Documents\nurls = [\n "memory_optimizations.rst",\n "chat.rst",\n "llama3.rst",\n "qat_finetune.rst",\n "lora_finetune.rst",\n]\ndocuments = [\n Document(\n document_id=f"num-{i}",\n content=f"https://raw.githubusercontent.com/pytorch/torchtune/main/docs/source/tutorials/{url}",\n mime_type="text/plain",\n metadata={},\n )\n for i, url in enumerate(urls)\n]\n\n# Insert documents\nclient.tool_runtime.rag_tool.insert(\n documents=documents,\n vector_db_id=vector_db_id,\n chunk_size_in_tokens=512,\n)\n\n# Get the model being served\nllm = next(\n m\n for m in client.models.list()\n if m.model_type == "llm" and m.provider_id == "ollama"\n)\nmodel = llm.identifier\n\n# Create the RAG agent\nrag_agent = Agent(\n client,\n model=model,\n instructions="You are a helpful assistant. Use the RAG tool to answer questions as needed.",\n tools=[\n {\n "name": "builtin::rag/knowledge_search",\n "args": {"vector_db_ids": [vector_db_id]},\n }\n ],\n)\n\nsession_id = rag_agent.create_session(session_name=f"s{uuid.uuid4().hex}")\n\nturns = ["what is torchtune", "tell me about dora"]\n\nfor t in turns:\n print("user>", t)\n stream = rag_agent.create_turn(\n messages=[{"role": "user", "content": t}], session_id=session_id, stream=True\n )\n for event in AgentEventLogger().log(stream):\n event.print()\n'})}),(0,s.jsx)(n.h4,{id:"ii-run-the-script-2",children:"ii. Run the Script"}),(0,s.jsxs)(n.p,{children:["Let's run the script using ",(0,s.jsx)(n.code,{children:"uv"})]}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:"uv run python rag_agent.py\n"})}),(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-{dropdown}",metastring:"\ud83d\udc4b Click here to see the sample output",children:" user> what is torchtune\n inference> [knowledge_search(query='TorchTune')]\n tool_execution> Tool:knowledge_search Args:{'query': 'TorchTune'}\n tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks:\\nBEGIN of knowledge_search tool results.\\n', type='text'), TextContentItem(text='Result 1:\\nDocument_id:num-1\\nContent: conversational data, :func:`~torchtune.datasets.chat_dataset` seems to be a good fit. ..., type='text'), TextContentItem(text='END of knowledge_search tool results.\\n', type='text')]\n inference> Here is a high-level overview of the text:\n\n **LoRA Finetuning with PyTorch Tune**\n\n PyTorch Tune provides a recipe for LoRA (Low-Rank Adaptation) finetuning, which is a technique to adapt pre-trained models to new tasks. The recipe uses the `lora_finetune_distributed` command.\n ...\n Overall, DORA is a powerful reinforcement learning algorithm that can learn complex tasks from human demonstrations. However, it requires careful consideration of the challenges and limitations to achieve optimal results.\n"})})]})]}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.strong,{children:"You're Ready to Build Your Own Apps!"})}),"\n",(0,s.jsxs)(n.p,{children:["Congrats! \ud83e\udd73 Now you're ready to ",(0,s.jsx)(n.a,{href:"../building_applications/",children:"build your own Llama Stack applications"}),"! \ud83d\ude80"]})]})}function m(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}}}]); \ No newline at end of file diff --git a/docs/v0.3.0/assets/js/f87fc0a0.5e9c9000.js b/docs/v0.3.0/assets/js/f87fc0a0.5e9c9000.js new file mode 100644 index 00000000..f7994344 --- /dev/null +++ b/docs/v0.3.0/assets/js/f87fc0a0.5e9c9000.js @@ -0,0 +1 @@ +"use strict";(self.webpackChunkdocusaurus_template_openapi_docs=self.webpackChunkdocusaurus_template_openapi_docs||[]).push([[3692],{95852:(e,i,n)=>{n.r(i),n.d(i,{assets:()=>d,contentTitle:()=>l,default:()=>p,frontMatter:()=>t,metadata:()=>r,toc:()=>c});const r=JSON.parse('{"id":"api-overview","title":"API Reference Overview","description":"The Llama Stack provides a comprehensive set of APIs organized by stability level to help you choose the right endpoints for your use case.","source":"@site/docs/api-overview.md","sourceDirName":".","slug":"/api-overview","permalink":"/v0.3.0/docs/api-overview","draft":false,"unlisted":false,"tags":[],"version":"current","frontMatter":{}}');var s=n(74848),a=n(28453);const t={},l="API Reference Overview",d={},c=[{value:"\ud83d\udfe2 Stable APIs",id:"-stable-apis",level:2},{value:"\ud83d\udfe1 Experimental APIs",id:"-experimental-apis",level:2},{value:"\ud83d\udd34 Deprecated APIs",id:"-deprecated-apis",level:2}];function o(e){const i={a:"a",h1:"h1",h2:"h2",header:"header",hr:"hr",li:"li",p:"p",strong:"strong",ul:"ul",...(0,a.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(i.header,{children:(0,s.jsx)(i.h1,{id:"api-reference-overview",children:"API Reference Overview"})}),"\n",(0,s.jsx)(i.p,{children:"The Llama Stack provides a comprehensive set of APIs organized by stability level to help you choose the right endpoints for your use case."}),"\n",(0,s.jsx)(i.h2,{id:"-stable-apis",children:"\ud83d\udfe2 Stable APIs"}),"\n",(0,s.jsx)(i.p,{children:(0,s.jsx)(i.strong,{children:"Production-ready APIs with backward compatibility guarantees."})}),"\n",(0,s.jsx)(i.p,{children:"These APIs are fully tested, documented, and stable. 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e=[],t=[{prefix:"",node:this}];t.length;){var n=t.pop(),r=Object.keys(n.node.edges),a=r.length;n.node.final&&(n.prefix.charAt(0),e.push(n.prefix));for(var i=0;i<a;i++){var o=r[i];t.push({prefix:n.prefix.concat(o),node:n.node.edges[o]})}}return e},I.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this.final?"1":"0",t=Object.keys(this.edges).sort(),n=t.length,r=0;r<n;r++){var a=t[r];e=e+a+this.edges[a].id}return e},I.TokenSet.prototype.intersect=function(e){for(var t=new I.TokenSet,n=void 0,r=[{qNode:e,output:t,node:this}];r.length;){n=r.pop();for(var a=Object.keys(n.qNode.edges),i=a.length,o=Object.keys(n.node.edges),s=o.length,c=0;c<i;c++)for(var l=a[c],d=0;d<s;d++){var u=o[d];if(u==l||"*"==l){var p=n.node.edges[u],f=n.qNode.edges[l],m=p.final&&f.final,b=void 0;u in n.output.edges?(b=n.output.edges[u]).final=b.final||m:((b=new I.TokenSet).final=m,n.output.edges[u]=b),r.push({qNode:f,output:b,node:p})}}}return t},I.TokenSet.Builder=function(){this.previousWord="",this.root=new I.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},I.TokenSet.Builder.prototype.insert=function(e){var t,n=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var r=0;r<e.length&&r<this.previousWord.length&&e[r]==this.previousWord[r];r++)n++;this.minimize(n),t=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(r=n;r<e.length;r++){var a=new I.TokenSet,i=e[r];t.edges[i]=a,this.uncheckedNodes.push({parent:t,char:i,child:a}),t=a}t.final=!0,this.previousWord=e},I.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},I.TokenSet.Builder.prototype.minimize=function(e){for(var t=this.uncheckedNodes.length-1;t>=e;t--){var n=this.uncheckedNodes[t],r=n.child.toString();r in 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b=0;b<c.fields.length;b++){i[L=c.fields[b]]=I.Set.empty}break}for(var h=0;h<m.length;h++){var v=m[h],g=this.invertedIndex[v],y=g._index;for(b=0;b<c.fields.length;b++){var _=g[L=c.fields[b]],x=Object.keys(_),S=v+"/"+L,w=new I.Set(x);if(c.presence==I.Query.presence.REQUIRED&&(d=d.union(w),void 0===i[L]&&(i[L]=I.Set.complete)),c.presence!=I.Query.presence.PROHIBITED){if(r[L].upsert(y,c.boost,function(e,t){return e+t}),!a[S]){for(var k=0;k<x.length;k++){var A,E=x[k],P=new I.FieldRef(E,L),C=_[E];void 0===(A=n[P])?n[P]=new I.MatchData(v,L,C):A.add(v,L,C)}a[S]=!0}}else void 0===o[L]&&(o[L]=I.Set.empty),o[L]=o[L].union(w)}}}if(c.presence===I.Query.presence.REQUIRED)for(b=0;b<c.fields.length;b++){i[L=c.fields[b]]=i[L].intersect(d)}}var T=I.Set.complete,j=I.Set.empty;for(s=0;s<this.fields.length;s++){var L;i[L=this.fields[s]]&&(T=T.intersect(i[L])),o[L]&&(j=j.union(o[L]))}var O=Object.keys(n),N=[],R=Object.create(null);if(t.isNegated()){O=Object.keys(this.fieldVectors);for(s=0;s<O.length;s++){P=O[s];var D=I.FieldRef.fromString(P);n[P]=new I.MatchData}}for(s=0;s<O.length;s++){var F=(D=I.FieldRef.fromString(O[s])).docRef;if(T.contains(F)&&!j.contains(F)){var z,M=this.fieldVectors[D],$=r[D.fieldName].similarity(M);if(void 0!==(z=R[F]))z.score+=$,z.matchData.combine(n[D]);else{var B={ref:F,score:$,matchData:n[D]};R[F]=B,N.push(B)}}}return N.sort(function(e,t){return t.score-e.score})},I.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map(function(e){return[e,this.invertedIndex[e]]},this),t=Object.keys(this.fieldVectors).map(function(e){return[e,this.fieldVectors[e].toJSON()]},this);return{version:I.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},I.Index.load=function(e){var t={},n={},r=e.fieldVectors,a=Object.create(null),i=e.invertedIndex,o=new I.TokenSet.Builder,s=I.Pipeline.load(e.pipeline);e.version!=I.version&&I.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+I.version+"' does not match serialized index '"+e.version+"'");for(var c=0;c<r.length;c++){var l=(u=r[c])[0],d=u[1];n[l]=new I.Vector(d)}for(c=0;c<i.length;c++){var u,p=(u=i[c])[0],f=u[1];o.insert(p),a[p]=f}return o.finish(),t.fields=e.fields,t.fieldVectors=n,t.invertedIndex=a,t.tokenSet=o.root,t.pipeline=s,new I.Index(t)},I.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=I.tokenizer,this.pipeline=new I.Pipeline,this.searchPipeline=new I.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},I.Builder.prototype.ref=function(e){this._ref=e},I.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=t||{}},I.Builder.prototype.b=function(e){this._b=e<0?0:e>1?1:e},I.Builder.prototype.k1=function(e){this._k1=e},I.Builder.prototype.add=function(e,t){var n=e[this._ref],r=Object.keys(this._fields);this._documents[n]=t||{},this.documentCount+=1;for(var a=0;a<r.length;a++){var i=r[a],o=this._fields[i].extractor,s=o?o(e):e[i],c=this.tokenizer(s,{fields:[i]}),l=this.pipeline.run(c),d=new I.FieldRef(n,i),u=Object.create(null);this.fieldTermFrequencies[d]=u,this.fieldLengths[d]=0,this.fieldLengths[d]+=l.length;for(var p=0;p<l.length;p++){var f=l[p];if(null==u[f]&&(u[f]=0),u[f]+=1,null==this.invertedIndex[f]){var m=Object.create(null);m._index=this.termIndex,this.termIndex+=1;for(var b=0;b<r.length;b++)m[r[b]]=Object.create(null);this.invertedIndex[f]=m}null==this.invertedIndex[f][i][n]&&(this.invertedIndex[f][i][n]=Object.create(null));for(var h=0;h<this.metadataWhitelist.length;h++){var v=this.metadataWhitelist[h],g=f.metadata[v];null==this.invertedIndex[f][i][n][v]&&(this.invertedIndex[f][i][n][v]=[]),this.invertedIndex[f][i][n][v].push(g)}}}},I.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),t=e.length,n={},r={},a=0;a<t;a++){var i=I.FieldRef.fromString(e[a]),o=i.fieldName;r[o]||(r[o]=0),r[o]+=1,n[o]||(n[o]=0),n[o]+=this.fieldLengths[i]}var s=Object.keys(this._fields);for(a=0;a<s.length;a++){var c=s[a];n[c]=n[c]/r[c]}this.averageFieldLength=n},I.Builder.prototype.createFieldVectors=function(){for(var e={},t=Object.keys(this.fieldTermFrequencies),n=t.length,r=Object.create(null),a=0;a<n;a++){for(var i=I.FieldRef.fromString(t[a]),o=i.fieldName,s=this.fieldLengths[i],c=new I.Vector,l=this.fieldTermFrequencies[i],d=Object.keys(l),u=d.length,p=this._fields[o].boost||1,f=this._documents[i.docRef].boost||1,m=0;m<u;m++){var b,h,v,g=d[m],y=l[g],_=this.invertedIndex[g]._index;void 0===r[g]?(b=I.idf(this.invertedIndex[g],this.documentCount),r[g]=b):b=r[g],h=b*((this._k1+1)*y)/(this._k1*(1-this._b+this._b*(s/this.averageFieldLength[o]))+y),h*=p,h*=f,v=Math.round(1e3*h)/1e3,c.insert(_,v)}e[i]=c}this.fieldVectors=e},I.Builder.prototype.createTokenSet=function(){this.tokenSet=I.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},I.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new I.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},I.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},I.MatchData=function(e,t,n){for(var r=Object.create(null),a=Object.keys(n||{}),i=0;i<a.length;i++){var o=a[i];r[o]=n[o].slice()}this.metadata=Object.create(null),void 0!==e&&(this.metadata[e]=Object.create(null),this.metadata[e][t]=r)},I.MatchData.prototype.combine=function(e){for(var t=Object.keys(e.metadata),n=0;n<t.length;n++){var r=t[n],a=Object.keys(e.metadata[r]);null==this.metadata[r]&&(this.metadata[r]=Object.create(null));for(var i=0;i<a.length;i++){var o=a[i],s=Object.keys(e.metadata[r][o]);null==this.metadata[r][o]&&(this.metadata[r][o]=Object.create(null));for(var c=0;c<s.length;c++){var l=s[c];null==this.metadata[r][o][l]?this.metadata[r][o][l]=e.metadata[r][o][l]:this.metadata[r][o][l]=this.metadata[r][o][l].concat(e.metadata[r][o][l])}}}},I.MatchData.prototype.add=function(e,t,n){if(!(e in this.metadata))return this.metadata[e]=Object.create(null),void(this.metadata[e][t]=n);if(t in this.metadata[e])for(var r=Object.keys(n),a=0;a<r.length;a++){var i=r[a];i in this.metadata[e][t]?this.metadata[e][t][i]=this.metadata[e][t][i].concat(n[i]):this.metadata[e][t][i]=n[i]}else this.metadata[e][t]=n},I.Query=function(e){this.clauses=[],this.allFields=e},I.Query.wildcard=new String("*"),I.Query.wildcard.NONE=0,I.Query.wildcard.LEADING=1,I.Query.wildcard.TRAILING=2,I.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},I.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=I.Query.wildcard.NONE),e.wildcard&I.Query.wildcard.LEADING&&e.term.charAt(0)!=I.Query.wildcard&&(e.term="*"+e.term),e.wildcard&I.Query.wildcard.TRAILING&&e.term.slice(-1)!=I.Query.wildcard&&(e.term=e.term+"*"),"presence"in e||(e.presence=I.Query.presence.OPTIONAL),this.clauses.push(e),this},I.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=I.Query.presence.PROHIBITED)return!1;return!0},I.Query.prototype.term=function(e,t){if(Array.isArray(e))return e.forEach(function(e){this.term(e,I.utils.clone(t))},this),this;var n=t||{};return n.term=e.toString(),this.clause(n),this},I.QueryParseError=function(e,t,n){this.name="QueryParseError",this.message=e,this.start=t,this.end=n},I.QueryParseError.prototype=new Error,I.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},I.QueryLexer.prototype.run=function(){for(var e=I.QueryLexer.lexText;e;)e=e(this)},I.QueryLexer.prototype.sliceString=function(){for(var e=[],t=this.start,n=this.pos,r=0;r<this.escapeCharPositions.length;r++)n=this.escapeCharPositions[r],e.push(this.str.slice(t,n)),t=n+1;return e.push(this.str.slice(t,this.pos)),this.escapeCharPositions.length=0,e.join("")},I.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},I.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},I.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return I.QueryLexer.EOS;var e=this.str.charAt(this.pos);return this.pos+=1,e},I.QueryLexer.prototype.width=function(){return this.pos-this.start},I.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},I.QueryLexer.prototype.backup=function(){this.pos-=1},I.QueryLexer.prototype.acceptDigitRun=function(){var e,t;do{t=(e=this.next()).charCodeAt(0)}while(t>47&&t<58);e!=I.QueryLexer.EOS&&this.backup()},I.QueryLexer.prototype.more=function(){return this.pos<this.length},I.QueryLexer.EOS="EOS",I.QueryLexer.FIELD="FIELD",I.QueryLexer.TERM="TERM",I.QueryLexer.EDIT_DISTANCE="EDIT_DISTANCE",I.QueryLexer.BOOST="BOOST",I.QueryLexer.PRESENCE="PRESENCE",I.QueryLexer.lexField=function(e){return e.backup(),e.emit(I.QueryLexer.FIELD),e.ignore(),I.QueryLexer.lexText},I.QueryLexer.lexTerm=function(e){if(e.width()>1&&(e.backup(),e.emit(I.QueryLexer.TERM)),e.ignore(),e.more())return I.QueryLexer.lexText},I.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(I.QueryLexer.EDIT_DISTANCE),I.QueryLexer.lexText},I.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(I.QueryLexer.BOOST),I.QueryLexer.lexText},I.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(I.QueryLexer.TERM)},I.QueryLexer.termSeparator=I.tokenizer.separator,I.QueryLexer.lexText=function(e){for(;;){var t=e.next();if(t==I.QueryLexer.EOS)return I.QueryLexer.lexEOS;if(92!=t.charCodeAt(0)){if(":"==t)return I.QueryLexer.lexField;if("~"==t)return e.backup(),e.width()>0&&e.emit(I.QueryLexer.TERM),I.QueryLexer.lexEditDistance;if("^"==t)return e.backup(),e.width()>0&&e.emit(I.QueryLexer.TERM),I.QueryLexer.lexBoost;if("+"==t&&1===e.width())return e.emit(I.QueryLexer.PRESENCE),I.QueryLexer.lexText;if("-"==t&&1===e.width())return e.emit(I.QueryLexer.PRESENCE),I.QueryLexer.lexText;if(t.match(I.QueryLexer.termSeparator))return I.QueryLexer.lexTerm}else e.escapeCharacter()}},I.QueryParser=function(e,t){this.lexer=new I.QueryLexer(e),this.query=t,this.currentClause={},this.lexemeIdx=0},I.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=I.QueryParser.parseClause;e;)e=e(this);return this.query},I.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},I.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},I.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},I.QueryParser.parseClause=function(e){var t=e.peekLexeme();if(null!=t)switch(t.type){case I.QueryLexer.PRESENCE:return I.QueryParser.parsePresence;case I.QueryLexer.FIELD:return I.QueryParser.parseField;case I.QueryLexer.TERM:return I.QueryParser.parseTerm;default:var n="expected either a field or a term, found "+t.type;throw t.str.length>=1&&(n+=" with value '"+t.str+"'"),new I.QueryParseError(n,t.start,t.end)}},I.QueryParser.parsePresence=function(e){var t=e.consumeLexeme();if(null!=t){switch(t.str){case"-":e.currentClause.presence=I.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=I.Query.presence.REQUIRED;break;default:var n="unrecognised presence operator'"+t.str+"'";throw new I.QueryParseError(n,t.start,t.end)}var r=e.peekLexeme();if(null==r){n="expecting term or field, found nothing";throw new I.QueryParseError(n,t.start,t.end)}switch(r.type){case I.QueryLexer.FIELD:return I.QueryParser.parseField;case I.QueryLexer.TERM:return I.QueryParser.parseTerm;default:n="expecting term or field, found '"+r.type+"'";throw new I.QueryParseError(n,r.start,r.end)}}},I.QueryParser.parseField=function(e){var t=e.consumeLexeme();if(null!=t){if(-1==e.query.allFields.indexOf(t.str)){var n=e.query.allFields.map(function(e){return"'"+e+"'"}).join(", "),r="unrecognised field '"+t.str+"', possible fields: "+n;throw new I.QueryParseError(r,t.start,t.end)}e.currentClause.fields=[t.str];var a=e.peekLexeme();if(null==a){r="expecting term, found nothing";throw new I.QueryParseError(r,t.start,t.end)}if(a.type===I.QueryLexer.TERM)return I.QueryParser.parseTerm;r="expecting term, found '"+a.type+"'";throw new I.QueryParseError(r,a.start,a.end)}},I.QueryParser.parseTerm=function(e){var t=e.consumeLexeme();if(null!=t){e.currentClause.term=t.str.toLowerCase(),-1!=t.str.indexOf("*")&&(e.currentClause.usePipeline=!1);var n=e.peekLexeme();if(null!=n)switch(n.type){case I.QueryLexer.TERM:return e.nextClause(),I.QueryParser.parseTerm;case I.QueryLexer.FIELD:return e.nextClause(),I.QueryParser.parseField;case I.QueryLexer.EDIT_DISTANCE:return I.QueryParser.parseEditDistance;case I.QueryLexer.BOOST:return I.QueryParser.parseBoost;case I.QueryLexer.PRESENCE:return e.nextClause(),I.QueryParser.parsePresence;default:var r="Unexpected lexeme type '"+n.type+"'";throw new I.QueryParseError(r,n.start,n.end)}else e.nextClause()}},I.QueryParser.parseEditDistance=function(e){var t=e.consumeLexeme();if(null!=t){var n=parseInt(t.str,10);if(isNaN(n)){var r="edit distance must be numeric";throw new I.QueryParseError(r,t.start,t.end)}e.currentClause.editDistance=n;var a=e.peekLexeme();if(null!=a)switch(a.type){case I.QueryLexer.TERM:return e.nextClause(),I.QueryParser.parseTerm;case I.QueryLexer.FIELD:return e.nextClause(),I.QueryParser.parseField;case I.QueryLexer.EDIT_DISTANCE:return I.QueryParser.parseEditDistance;case I.QueryLexer.BOOST:return I.QueryParser.parseBoost;case I.QueryLexer.PRESENCE:return e.nextClause(),I.QueryParser.parsePresence;default:r="Unexpected lexeme type '"+a.type+"'";throw new I.QueryParseError(r,a.start,a.end)}else e.nextClause()}},I.QueryParser.parseBoost=function(e){var t=e.consumeLexeme();if(null!=t){var n=parseInt(t.str,10);if(isNaN(n)){var r="boost must be numeric";throw new I.QueryParseError(r,t.start,t.end)}e.currentClause.boost=n;var a=e.peekLexeme();if(null!=a)switch(a.type){case I.QueryLexer.TERM:return e.nextClause(),I.QueryParser.parseTerm;case 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e.languages.kotlin.string,e.languages.insertBefore("kotlin","keyword",{annotation:{pattern:/\B@(?:\w+:)?(?:[A-Z]\w*|\[[^\]]+\])/,alias:"builtin"}}),e.languages.insertBefore("kotlin","function",{label:{pattern:/\b\w+@|@\w+\b/,alias:"symbol"}}),e.languages.kt=e.languages.kotlin,e.languages.kts=e.languages.kotlin}(P),P.languages.c=P.languages.extend("clike",{comment:{pattern:/\/\/(?:[^\r\n\\]|\\(?:\r\n?|\n|(?![\r\n])))*|\/\*[\s\S]*?(?:\*\/|$)/,greedy:!0},string:{pattern:/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"/,greedy:!0},"class-name":{pattern:/(\b(?:enum|struct)\s+(?:__attribute__\s*\(\([\s\S]*?\)\)\s*)?)\w+|\b[a-z]\w*_t\b/,lookbehind:!0},keyword:/\b(?:_Alignas|_Alignof|_Atomic|_Bool|_Complex|_Generic|_Imaginary|_Noreturn|_Static_assert|_Thread_local|__attribute__|asm|auto|break|case|char|const|continue|default|do|double|else|enum|extern|float|for|goto|if|inline|int|long|register|return|short|signed|sizeof|static|struct|switch|typedef|typeof|union|unsigned|void|volatile|while)\b/,function:/\b[a-z_]\w*(?=\s*\()/i,number:/(?:\b0x(?:[\da-f]+(?:\.[\da-f]*)?|\.[\da-f]+)(?:p[+-]?\d+)?|(?:\b\d+(?:\.\d*)?|\B\.\d+)(?:e[+-]?\d+)?)[ful]{0,4}/i,operator:/>>=?|<<=?|->|([-+&|:])\1|[?:~]|[-+*/%&|^!=<>]=?/}),P.languages.insertBefore("c","string",{char:{pattern:/'(?:\\(?:\r\n|[\s\S])|[^'\\\r\n]){0,32}'/,greedy:!0}}),P.languages.insertBefore("c","string",{macro:{pattern:/(^[\t 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t=/\/\*(?:[^*/]|\*(?!\/)|\/(?!\*)|<self>)*\*\//.source,n=0;n<2;n++)t=t.replace(/<self>/g,function(){return 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P.languages.go["class-name"],function(e){var t=/\b(?:alignas|alignof|asm|auto|bool|break|case|catch|char|char16_t|char32_t|char8_t|class|co_await|co_return|co_yield|compl|concept|const|const_cast|consteval|constexpr|constinit|continue|decltype|default|delete|do|double|dynamic_cast|else|enum|explicit|export|extern|final|float|for|friend|goto|if|import|inline|int|int16_t|int32_t|int64_t|int8_t|long|module|mutable|namespace|new|noexcept|nullptr|operator|override|private|protected|public|register|reinterpret_cast|requires|return|short|signed|sizeof|static|static_assert|static_cast|struct|switch|template|this|thread_local|throw|try|typedef|typeid|typename|uint16_t|uint32_t|uint64_t|uint8_t|union|unsigned|using|virtual|void|volatile|wchar_t|while)\b/,n=/\b(?!<keyword>)\w+(?:\s*\.\s*\w+)*\b/.source.replace(/<keyword>/g,function(){return t.source});e.languages.cpp=e.languages.extend("c",{"class-name":[{pattern:RegExp(/(\b(?:class|concept|enum|struct|typename)\s+)(?!<keyword>)\w+/.source.replace(/<keyword>/g,function(){return t.source})),lookbehind:!0},/\b[A-Z]\w*(?=\s*::\s*\w+\s*\()/,/\b[A-Z_]\w*(?=\s*::\s*~\w+\s*\()/i,/\b\w+(?=\s*<(?:[^<>]|<(?:[^<>]|<[^<>]*>)*>)*>\s*::\s*\w+\s*\()/],keyword:t,number:{pattern:/(?:\b0b[01']+|\b0x(?:[\da-f']+(?:\.[\da-f']*)?|\.[\da-f']+)(?:p[+-]?[\d']+)?|(?:\b[\d']+(?:\.[\d']*)?|\B\.[\d']+)(?:e[+-]?[\d']+)?)[ful]{0,4}/i,greedy:!0},operator:/>>=?|<<=?|->|--|\+\+|&&|\|\||[?:~]|<=>|[-+*/%&|^!=<>]=?|\b(?:and|and_eq|bitand|bitor|not|not_eq|or|or_eq|xor|xor_eq)\b/,boolean:/\b(?:false|true)\b/}),e.languages.insertBefore("cpp","string",{module:{pattern:RegExp(/(\b(?:import|module)\s+)/.source+"(?:"+/"(?:\\(?:\r\n|[\s\S])|[^"\\\r\n])*"|<[^<>\r\n]*>/.source+"|"+/<mod-name>(?:\s*:\s*<mod-name>)?|:\s*<mod-name>/.source.replace(/<mod-name>/g,function(){return 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Apache-2.0 + */ + +/** + * @license React + * react-dom-client.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react-dom.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react-jsx-runtime.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory of this source tree. + */ + +/** + * @license React + * react.production.js + * + * Copyright (c) Meta Platforms, Inc. and affiliates. + * + * This source code is licensed under the MIT license found in the + * LICENSE file in the root directory 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new file mode 100644 index 00000000..d920317c --- /dev/null +++ b/docs/v0.3.0/deprecated-llama-stack-spec.html @@ -0,0 +1,13520 @@ +<!DOCTYPE html> +<html> + +<head> + <meta charset="utf-8" /> + <meta name="viewport" content="width=device-width, initial-scale=1"> + <title>OpenAPI specification + + + + + + + + + + + + + diff --git a/docs/v0.3.0/deprecated-llama-stack-spec.yaml b/docs/v0.3.0/deprecated-llama-stack-spec.yaml new file mode 100644 index 00000000..66b2caec --- /dev/null +++ b/docs/v0.3.0/deprecated-llama-stack-spec.yaml @@ -0,0 +1,10251 @@ +openapi: 3.1.0 +info: + title: >- + Llama Stack Specification - Deprecated APIs + version: v1 + description: >- + This is the specification of the Llama Stack that provides + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. + + **⚠️ DEPRECATED**: Legacy APIs that may be removed in future versions. Use for + migration reference only. +servers: + - url: http://any-hosted-llama-stack.com +paths: + /v1/agents: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all agents. + description: List all agents. + parameters: + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of agents to return. + required: false + schema: + type: integer + deprecated: true + post: + responses: + '200': + description: >- + An AgentCreateResponse with the agent ID. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Create an agent with the given configuration. + description: >- + Create an agent with the given configuration. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentRequest' + required: true + deprecated: true + /v1/agents/{agent_id}: + get: + responses: + '200': + description: An Agent of the agent. + content: + application/json: + schema: + $ref: '#/components/schemas/Agent' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Describe an agent by its ID. + description: Describe an agent by its ID. + parameters: + - name: agent_id + in: path + description: ID of the agent. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent by its ID and its associated sessions and turns. + description: >- + Delete an agent by its ID and its associated sessions and turns. + parameters: + - name: agent_id + in: path + description: The ID of the agent to delete. + required: true + schema: + type: string + deprecated: true + /v1/agents/{agent_id}/session: + post: + responses: + '200': + description: An AgentSessionCreateResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentSessionCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new session for an agent. + description: Create a new session for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the session for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentSessionRequest' + required: true + deprecated: true + /v1/agents/{agent_id}/session/{session_id}: + get: + responses: + '200': + description: A Session. + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent session by its ID. + description: Retrieve an agent session by its ID. + parameters: + - name: session_id + in: path + description: The ID of the session to get. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to get the session for. + required: true + schema: + type: string + - name: turn_ids + in: query + description: >- + (Optional) List of turn IDs to filter the session by. + required: false + schema: + type: array + items: + type: string + deprecated: true + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent session by its ID and its associated turns. + description: >- + Delete an agent session by its ID and its associated turns. + parameters: + - name: session_id + in: path + description: The ID of the session to delete. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to delete the session for. + required: true + schema: + type: string + deprecated: true + /v1/agents/{agent_id}/session/{session_id}/turn: + post: + responses: + '200': + description: >- + If stream=False, returns a Turn object. If stream=True, returns an SSE + event stream of AgentTurnResponseStreamChunk. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new turn for an agent. + description: Create a new turn for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to create the turn for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentTurnRequest' + required: true + deprecated: true + /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}: + get: + responses: + '200': + description: A Turn. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent turn by its ID. + description: Retrieve an agent turn by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the turn for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get. + required: true + schema: + type: string + deprecated: true + /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/resume: + post: + responses: + '200': + description: >- + A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk + objects. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Resume an agent turn with executed tool call responses. + description: >- + Resume an agent turn with executed tool call responses. + + When a Turn has the status `awaiting_input` due to pending input from client + side tool calls, this endpoint can be used to submit the outputs from the + tool calls once they are ready. + parameters: + - name: agent_id + in: path + description: The ID of the agent to resume. + required: true + schema: + type: string + - name: session_id + in: path + description: The ID of the session to resume. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to resume. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ResumeAgentTurnRequest' + required: true + deprecated: true + /v1/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}: + get: + responses: + '200': + description: An AgentStepResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentStepResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent step by its ID. + description: Retrieve an agent step by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the step for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the step for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get the step for. + required: true + schema: + type: string + - name: step_id + in: path + description: The ID of the step to get. + required: true + schema: + type: string + deprecated: true + /v1/agents/{agent_id}/sessions: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all session(s) of a given agent. + description: List all session(s) of a given agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to list sessions for. + required: true + schema: + type: string + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of sessions to return. + required: false + schema: + type: integer + deprecated: true + /v1/datasetio/append-rows/{dataset_id}: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: Append rows to a dataset. + description: Append rows to a dataset. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to append the rows to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/AppendRowsRequest' + required: true + deprecated: true + /v1/datasetio/iterrows/{dataset_id}: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: >- + Get a paginated list of rows from a dataset. + description: >- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + + - start_index: The starting index (0-based). If None, starts from beginning. + + - limit: Number of items to return. If None or -1, returns all items. + + + The response includes: + + - data: List of items for the current page. + + - has_more: Whether there are more items available after this set. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to get the rows from. + required: true + schema: + type: string + - name: start_index + in: query + description: >- + Index into dataset for the first row to get. Get all rows if None. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of rows to get. + required: false + schema: + type: integer + deprecated: true + /v1/datasets: + get: + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: List all datasets. + description: List all datasets. + parameters: [] + deprecated: true + post: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Register a new dataset. + description: Register a new dataset. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterDatasetRequest' + required: true + deprecated: true + /v1/datasets/{dataset_id}: + get: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Get a dataset by its ID. + description: Get a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to get. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Unregister a dataset by its ID. + description: Unregister a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to unregister. + required: true + schema: + type: string + deprecated: true + /v1/eval/benchmarks: + get: + responses: + '200': + description: A ListBenchmarksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListBenchmarksResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: List all benchmarks. + description: List all benchmarks. + parameters: [] + deprecated: true + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Register a benchmark. + description: Register a benchmark. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterBenchmarkRequest' + required: true + deprecated: true + /v1/eval/benchmarks/{benchmark_id}: + get: + responses: + '200': + description: A Benchmark. + content: + application/json: + schema: + $ref: '#/components/schemas/Benchmark' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Get a benchmark by its ID. + description: Get a benchmark by its ID. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to get. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Unregister a benchmark. + description: Unregister a benchmark. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to unregister. + required: true + schema: + type: string + deprecated: true + /v1/eval/benchmarks/{benchmark_id}/evaluations: + post: + responses: + '200': + description: >- + EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Evaluate a list of rows on a benchmark. + description: Evaluate a list of rows on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateRowsRequest' + required: true + deprecated: true + /v1/eval/benchmarks/{benchmark_id}/jobs: + post: + responses: + '200': + description: >- + The job that was created to run the evaluation. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Run an evaluation on a benchmark. + description: Run an evaluation on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunEvalRequest' + required: true + deprecated: true + /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}: + get: + responses: + '200': + description: The status of the evaluation job. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the status of a job. + description: Get the status of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the status of. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Cancel a job. + description: Cancel a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to cancel. + required: true + schema: + type: string + deprecated: true + /v1/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: + get: + responses: + '200': + description: The result of the job. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the result of a job. + description: Get the result of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the result of. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/chat/completions: + get: + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: List chat completions. + description: List chat completions. + parameters: + - name: after + in: query + description: >- + The ID of the last chat completion to return. + required: false + schema: + type: string + - name: limit + in: query + description: >- + The maximum number of chat completions to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort the chat completions by: "asc" or "desc". Defaults to + "desc". + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: true + post: + responses: + '200': + description: An OpenAIChatCompletion. + content: + application/json: + schema: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletion' + - $ref: '#/components/schemas/OpenAIChatCompletionChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create chat completions. + description: >- + Create chat completions. + + Generate an OpenAI-compatible chat completion for the given messages using + the specified model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' + required: true + deprecated: true + /v1/openai/v1/chat/completions/{completion_id}: + get: + responses: + '200': + description: A OpenAICompletionWithInputMessages. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Get chat completion. + description: >- + Get chat completion. + + Describe a chat completion by its ID. + parameters: + - name: completion_id + in: path + description: ID of the chat completion. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/completions: + post: + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create completion. + description: >- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' + required: true + deprecated: true + /v1/openai/v1/embeddings: + post: + responses: + '200': + description: >- + An OpenAIEmbeddingsResponse containing the embeddings. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create embeddings. + description: >- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' + required: true + deprecated: true + /v1/openai/v1/files: + get: + responses: + '200': + description: >- + An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: List files. + description: >- + List files. + + Returns a list of files that belong to the user's organization. + parameters: + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. For instance, if you make a list request and receive + 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo + in order to fetch the next page of the list. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 10,000, and the default is 10,000. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + $ref: '#/components/schemas/Order' + - name: purpose + in: query + description: >- + Only return files with the given purpose. + required: false + schema: + $ref: '#/components/schemas/OpenAIFilePurpose' + deprecated: true + post: + responses: + '200': + description: >- + An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Upload file. + description: >- + Upload file. + + Upload a file that can be used across various endpoints. + + + The file upload should be a multipart form request with: + + - file: The File object (not file name) to be uploaded. + + - purpose: The intended purpose of the uploaded file. + + - expires_after: Optional form values describing expiration for the file. + parameters: [] + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + $ref: '#/components/schemas/ExpiresAfter' + required: + - file + - purpose + required: true + deprecated: true + /v1/openai/v1/files/{file_id}: + get: + responses: + '200': + description: >- + An OpenAIFileObject containing file information. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file. + description: >- + Retrieve file. + + Returns information about a specific file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: >- + An OpenAIFileDeleteResponse indicating successful deletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Delete file. + description: Delete file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/files/{file_id}/content: + get: + responses: + '200': + description: >- + The raw file content as a binary response. + content: + application/json: + schema: + $ref: '#/components/schemas/Response' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file content. + description: >- + Retrieve file content. + + Returns the contents of the specified file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/models: + get: + responses: + '200': + description: A OpenAIListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIListModelsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: List models using the OpenAI API. + description: List models using the OpenAI API. + parameters: [] + deprecated: true + /v1/openai/v1/moderations: + post: + responses: + '200': + description: A moderation object. + content: + application/json: + schema: + $ref: '#/components/schemas/ModerationObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Safety + summary: Create moderation. + description: >- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunModerationRequest' + required: true + deprecated: true + /v1/openai/v1/responses: + get: + responses: + '200': + description: A ListOpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all responses. + description: List all responses. + parameters: + - name: after + in: query + description: The ID of the last response to return. + required: false + schema: + type: string + - name: limit + in: query + description: The number of responses to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter responses by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort responses by when sorted by created_at ('asc' or 'desc'). + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: true + post: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + text/event-stream: + schema: + $ref: '#/components/schemas/OpenAIResponseObjectStream' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a model response. + description: Create a model response. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateOpenaiResponseRequest' + required: true + deprecated: true + x-llama-stack-extra-body-params: + - name: guardrails + schema: + type: array + items: + oneOf: + - type: string + - $ref: '#/components/schemas/ResponseGuardrailSpec' + description: >- + List of guardrails to apply during response generation. Guardrails provide + safety and content moderation. + required: false + /v1/openai/v1/responses/{response_id}: + get: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Get a model response. + description: Get a model response. + parameters: + - name: response_id + in: path + description: >- + The ID of the OpenAI response to retrieve. + required: true + schema: + type: string + deprecated: true + delete: + responses: + '200': + description: An OpenAIDeleteResponseObject + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIDeleteResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Delete a response. + description: Delete a response. + parameters: + - name: response_id + in: path + description: The ID of the OpenAI response to delete. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/responses/{response_id}/input_items: + get: + responses: + '200': + description: An ListOpenAIResponseInputItem. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseInputItem' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List input items. + description: List input items. + parameters: + - name: response_id + in: path + description: >- + The ID of the response to retrieve input items for. + required: true + schema: + type: string + - name: after + in: query + description: >- + An item ID to list items after, used for pagination. + required: false + schema: + type: string + - name: before + in: query + description: >- + An item ID to list items before, used for pagination. + required: false + schema: + type: string + - name: include + in: query + description: >- + Additional fields to include in the response. + required: false + schema: + type: array + items: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + The order to return the input items in. Default is desc. + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: true + /v1/openai/v1/vector_stores: + get: + responses: + '200': + description: >- + A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Returns a list of vector stores. + description: Returns a list of vector stores. + parameters: + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + deprecated: true + post: + responses: + '200': + description: >- + A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Creates a vector store. + description: >- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + required: true + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}: + get: + responses: + '200': + description: >- + A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store. + description: Retrieves a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to retrieve. + required: true + schema: + type: string + deprecated: true + post: + responses: + '200': + description: >- + A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store. + description: Updates a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + required: true + deprecated: true + delete: + responses: + '200': + description: >- + A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store. + description: Delete a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to delete. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/file_batches: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Create a vector store file batch. + description: >- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector + store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to create the file batch for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + required: true + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieve a vector store file batch. + description: Retrieve a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to retrieve. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Cancels a vector store file batch. + description: Cancels a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to cancel. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreFilesListInBatchResponse containing the list of files in + the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Returns a list of vector store files in a batch. + description: >- + Returns a list of vector store files in a batch. + parameters: + - name: batch_id + in: path + description: >- + The ID of the file batch to list files from. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + Filter by file status. One of in_progress, completed, failed, cancelled. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: List files in a vector store. + description: List files in a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to list files from. + required: true + schema: + type: string + - name: limit + in: query + description: >- + (Optional) A limit on the number of objects to be returned. Limit can + range between 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + (Optional) Sort order by the `created_at` timestamp of the objects. `asc` + for ascending order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + (Optional) A cursor for use in pagination. `after` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + (Optional) A cursor for use in pagination. `before` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + (Optional) Filter by file status to only return files with the specified + status. + required: false + schema: + $ref: '#/components/schemas/VectorStoreFileStatus' + deprecated: true + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Attach a file to a vector store. + description: Attach a file to a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to attach the file to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' + required: true + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store file. + description: Retrieves a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: true + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store file. + description: Updates a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to update. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' + required: true + deprecated: true + delete: + responses: + '200': + description: >- + A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store file. + description: Delete a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to delete. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to delete. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + responses: + '200': + description: >- + A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Retrieves the contents of a vector store file. + description: >- + Retrieves the contents of a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: true + /v1/openai/v1/vector_stores/{vector_store_id}/search: + post: + responses: + '200': + description: >- + A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Search for chunks in a vector store. + description: >- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional + file attribute filters. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to search. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + required: true + deprecated: true + /v1/post-training/job/artifacts: + get: + responses: + '200': + description: A PostTrainingJobArtifactsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the artifacts of a training job. + description: Get the artifacts of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the artifacts of. + required: true + schema: + type: string + deprecated: true + /v1/post-training/job/cancel: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Cancel a training job. + description: Cancel a training job. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CancelTrainingJobRequest' + required: true + deprecated: true + /v1/post-training/job/status: + get: + responses: + '200': + description: A PostTrainingJobStatusResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobStatusResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the status of a training job. + description: Get the status of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the status of. + required: true + schema: + type: string + deprecated: true + /v1/post-training/jobs: + get: + responses: + '200': + description: A ListPostTrainingJobsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPostTrainingJobsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get all training jobs. + description: Get all training jobs. + parameters: [] + deprecated: true + /v1/post-training/preference-optimize: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run preference optimization of a model. + description: Run preference optimization of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/PreferenceOptimizeRequest' + required: true + deprecated: true + /v1/post-training/supervised-fine-tune: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run supervised fine-tuning of a model. + description: Run supervised fine-tuning of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SupervisedFineTuneRequest' + required: true + deprecated: true +jsonSchemaDialect: >- + https://json-schema.org/draft/2020-12/schema +components: + schemas: + Error: + type: object + properties: + status: + type: integer + description: HTTP status code + title: + type: string + description: >- + Error title, a short summary of the error which is invariant for an error + type + detail: + type: string + description: >- + Error detail, a longer human-readable description of the error + instance: + type: string + description: >- + (Optional) A URL which can be used to retrieve more information about + the specific occurrence of the error + additionalProperties: false + required: + - status + - title + - detail + title: Error + description: >- + Error response from the API. Roughly follows RFC 7807. + PaginatedResponse: + type: object + properties: + data: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The list of items for the current page + has_more: + type: boolean + description: >- + Whether there are more items available after this set + url: + type: string + description: The URL for accessing this list + additionalProperties: false + required: + - data + - has_more + title: PaginatedResponse + description: >- + A generic paginated response that follows a simple format. + AgentConfig: + type: object + properties: + sampling_params: + $ref: '#/components/schemas/SamplingParams' + input_shields: + type: array + items: + type: string + output_shields: + type: array + items: + type: string + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + client_tools: + type: array + items: + $ref: '#/components/schemas/ToolDef' + tool_choice: + type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following capabilities + of the model. + deprecated: true + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + description: >- + Prompt format for calling custom / zero shot tools. + deprecated: true + tool_config: + $ref: '#/components/schemas/ToolConfig' + max_infer_iters: + type: integer + default: 10 + model: + type: string + description: >- + The model identifier to use for the agent + instructions: + type: string + description: The system instructions for the agent + name: + type: string + description: >- + Optional name for the agent, used in telemetry and identification + enable_session_persistence: + type: boolean + default: false + description: >- + Optional flag indicating whether session data has to be persisted + response_format: + $ref: '#/components/schemas/ResponseFormat' + description: Optional response format configuration + additionalProperties: false + required: + - model + - instructions + title: AgentConfig + description: Configuration for an agent. + AgentTool: + oneOf: + - type: string + - type: object + properties: + name: + type: string + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - name + - args + title: AgentToolGroupWithArgs + GrammarResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "grammar" to identify this format type + const: grammar + default: grammar + bnf: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The BNF grammar specification the response should conform to + additionalProperties: false + required: + - type + - bnf + title: GrammarResponseFormat + description: >- + Configuration for grammar-guided response generation. + GreedySamplingStrategy: + type: object + properties: + type: + type: string + const: greedy + default: greedy + description: >- + Must be "greedy" to identify this sampling strategy + additionalProperties: false + required: + - type + title: GreedySamplingStrategy + description: >- + Greedy sampling strategy that selects the highest probability token at each + step. + JsonSchemaResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "json_schema" to identify this format type + const: json_schema + default: json_schema + json_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. + additionalProperties: false + required: + - type + - json_schema + title: JsonSchemaResponseFormat + description: >- + Configuration for JSON schema-guided response generation. + ResponseFormat: + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + discriminator: + propertyName: type + mapping: + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + grammar: '#/components/schemas/GrammarResponseFormat' + SamplingParams: + type: object + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + description: The sampling strategy. + max_tokens: + type: integer + default: 0 + description: >- + The maximum number of tokens that can be generated in the completion. + The token count of your prompt plus max_tokens cannot exceed the model's + context length. + repetition_penalty: + type: number + default: 1.0 + description: >- + Number between -2.0 and 2.0. Positive values penalize new tokens based + on whether they appear in the text so far, increasing the model's likelihood + to talk about new topics. + stop: + type: array + items: + type: string + description: >- + Up to 4 sequences where the API will stop generating further tokens. The + returned text will not contain the stop sequence. + additionalProperties: false + required: + - strategy + title: SamplingParams + description: Sampling parameters. + ToolConfig: + type: object + properties: + tool_choice: + oneOf: + - type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following + capabilities of the model. + - type: string + default: auto + description: >- + (Optional) Whether tool use is automatic, required, or none. Can also + specify a tool name to use a specific tool. Defaults to ToolChoice.auto. + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + description: >- + (Optional) Instructs the model how to format tool calls. By default, Llama + Stack will attempt to use a format that is best adapted to the model. + - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. + - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a + tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python + syntax -- a list of function calls. + system_message_behavior: + type: string + enum: + - append + - replace + description: >- + (Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: + Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: + Replaces the default system prompt with the provided system message. The + system message can include the string '{{function_definitions}}' to indicate + where the function definitions should be inserted. + default: append + additionalProperties: false + title: ToolConfig + description: Configuration for tool use. + ToolDef: + type: object + properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Human-readable description of what the tool does + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool + additionalProperties: false + required: + - name + title: ToolDef + description: >- + Tool definition used in runtime contexts. + TopKSamplingStrategy: + type: object + properties: + type: + type: string + const: top_k + default: top_k + description: >- + Must be "top_k" to identify this sampling strategy + top_k: + type: integer + description: >- + Number of top tokens to consider for sampling. Must be at least 1 + additionalProperties: false + required: + - type + - top_k + title: TopKSamplingStrategy + description: >- + Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + type: object + properties: + type: + type: string + const: top_p + default: top_p + description: >- + Must be "top_p" to identify this sampling strategy + temperature: + type: number + description: >- + Controls randomness in sampling. Higher values increase randomness + top_p: + type: number + default: 0.95 + description: >- + Cumulative probability threshold for nucleus sampling. Defaults to 0.95 + additionalProperties: false + required: + - type + title: TopPSamplingStrategy + description: >- + Top-p (nucleus) sampling strategy that samples from the smallest set of tokens + with cumulative probability >= p. + CreateAgentRequest: + type: object + properties: + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: The configuration for the agent. + additionalProperties: false + required: + - agent_config + title: CreateAgentRequest + AgentCreateResponse: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the created agent + additionalProperties: false + required: + - agent_id + title: AgentCreateResponse + description: >- + Response returned when creating a new agent. + Agent: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the agent + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: Configuration settings for the agent + created_at: + type: string + format: date-time + description: Timestamp when the agent was created + additionalProperties: false + required: + - agent_id + - agent_config + - created_at + title: Agent + description: >- + An agent instance with configuration and metadata. + CreateAgentSessionRequest: + type: object + properties: + session_name: + type: string + description: The name of the session to create. + additionalProperties: false + required: + - session_name + title: CreateAgentSessionRequest + AgentSessionCreateResponse: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the created session + additionalProperties: false + required: + - session_id + title: AgentSessionCreateResponse + description: >- + Response returned when creating a new agent session. + CompletionMessage: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + $ref: '#/components/schemas/InterleavedContent' + description: The content of the model's response + stop_reason: + type: string + enum: + - end_of_turn + - end_of_message + - out_of_tokens + description: >- + Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: + The model finished generating the entire response. - `StopReason.end_of_message`: + The model finished generating but generated a partial response -- usually, + a tool call. The user may call the tool and continue the conversation + with the tool's response. - `StopReason.out_of_tokens`: The model ran + out of token budget. + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: >- + List of tool calls. Each tool call is a ToolCall object. + additionalProperties: false + required: + - role + - content + - stop_reason + title: CompletionMessage + description: >- + A message containing the model's (assistant) response in a chat conversation. + ImageContentItem: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the content item. Always "image" + image: + type: object + properties: + url: + $ref: '#/components/schemas/URL' + description: >- + A URL of the image or data URL in the format of data:image/{type};base64,{data}. + Note that URL could have length limits. + data: + type: string + contentEncoding: base64 + description: base64 encoded image data as string + additionalProperties: false + description: >- + Image as a base64 encoded string or an URL + additionalProperties: false + required: + - type + - image + title: ImageContentItem + description: A image content item + InferenceStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: inference + default: inference + model_response: + $ref: '#/components/schemas/CompletionMessage' + description: The response from the LLM. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - model_response + title: InferenceStep + description: An inference step in an agent turn. + InterleavedContent: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + InterleavedContentItem: + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + MemoryRetrievalStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: memory_retrieval + default: memory_retrieval + vector_db_ids: + type: string + description: >- + The IDs of the vector databases to retrieve context from. + inserted_context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The context retrieved from the vector databases. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - vector_db_ids + - inserted_context + title: MemoryRetrievalStep + description: >- + A memory retrieval step in an agent turn. + SafetyViolation: + type: object + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + description: Severity level of the violation + user_message: + type: string + description: >- + (Optional) Message to convey to the user about the violation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata including specific violation codes for debugging and + telemetry + additionalProperties: false + required: + - violation_level + - metadata + title: SafetyViolation + description: >- + Details of a safety violation detected by content moderation. + Session: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the conversation session + session_name: + type: string + description: Human-readable name for the session + turns: + type: array + items: + $ref: '#/components/schemas/Turn' + description: >- + List of all turns that have occurred in this session + started_at: + type: string + format: date-time + description: Timestamp when the session was created + additionalProperties: false + required: + - session_id + - session_name + - turns + - started_at + title: Session + description: >- + A single session of an interaction with an Agentic System. + ShieldCallStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: shield_call + default: shield_call + violation: + $ref: '#/components/schemas/SafetyViolation' + description: The violation from the shield call. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + title: ShieldCallStep + description: A shield call step in an agent turn. + TextContentItem: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the content item. Always "text" + text: + type: string + description: Text content + additionalProperties: false + required: + - type + - text + title: TextContentItem + description: A text content item + ToolCall: + type: object + properties: + call_id: + type: string + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + arguments: + type: string + additionalProperties: false + required: + - call_id + - tool_name + - arguments + title: ToolCall + ToolExecutionStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: tool_execution + default: tool_execution + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: The tool calls to execute. + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: The tool responses from the tool calls. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - tool_calls + - tool_responses + title: ToolExecutionStep + description: A tool execution step in an agent turn. + ToolResponse: + type: object + properties: + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + description: Name of the tool that was invoked + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool response + additionalProperties: false + required: + - call_id + - tool_name + - content + title: ToolResponse + description: Response from a tool invocation. + ToolResponseMessage: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + additionalProperties: false + required: + - role + - call_id + - content + title: ToolResponseMessage + description: >- + A message representing the result of a tool invocation. + Turn: + type: object + properties: + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + session_id: + type: string + description: >- + Unique identifier for the conversation session + input_messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: >- + List of messages that initiated this turn + steps: + type: array + items: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + Ordered list of processing steps executed during this turn + output_message: + $ref: '#/components/schemas/CompletionMessage' + description: >- + The model's generated response containing content and metadata + output_attachments: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the attachment. + mime_type: + type: string + description: The MIME type of the attachment. + additionalProperties: false + required: + - content + - mime_type + title: Attachment + description: An attachment to an agent turn. + description: >- + (Optional) Files or media attached to the agent's response + started_at: + type: string + format: date-time + description: Timestamp when the turn began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the turn finished, if completed + additionalProperties: false + required: + - turn_id + - session_id + - input_messages + - steps + - output_message + - started_at + title: Turn + description: >- + A single turn in an interaction with an Agentic System. + URL: + type: object + properties: + uri: + type: string + description: The URL string pointing to the resource + additionalProperties: false + required: + - uri + title: URL + description: A URL reference to external content. + UserMessage: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the message, which can include text and other media + context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) This field is used internally by Llama Stack to pass RAG context. + This field may be removed in the API in the future. + additionalProperties: false + required: + - role + - content + title: UserMessage + description: >- + A message from the user in a chat conversation. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + CreateAgentTurnRequest: + type: object + properties: + messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: List of messages to start the turn with. + stream: + type: boolean + description: >- + (Optional) If True, generate an SSE event stream of the response. Defaults + to False. + documents: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the document. + mime_type: + type: string + description: The MIME type of the document. + additionalProperties: false + required: + - content + - mime_type + title: Document + description: A document to be used by an agent. + description: >- + (Optional) List of documents to create the turn with. + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + description: >- + (Optional) List of toolgroups to create the turn with, will be used in + addition to the agent's config toolgroups for the request. + tool_config: + $ref: '#/components/schemas/ToolConfig' + description: >- + (Optional) The tool configuration to create the turn with, will be used + to override the agent's tool_config. + additionalProperties: false + required: + - messages + title: CreateAgentTurnRequest + AgentTurnResponseEvent: + type: object + properties: + payload: + oneOf: + - $ref: '#/components/schemas/AgentTurnResponseStepStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepProgressPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + discriminator: + propertyName: event_type + mapping: + step_start: '#/components/schemas/AgentTurnResponseStepStartPayload' + step_progress: '#/components/schemas/AgentTurnResponseStepProgressPayload' + step_complete: '#/components/schemas/AgentTurnResponseStepCompletePayload' + turn_start: '#/components/schemas/AgentTurnResponseTurnStartPayload' + turn_complete: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + turn_awaiting_input: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + description: >- + Event-specific payload containing event data + additionalProperties: false + required: + - payload + title: AgentTurnResponseEvent + description: >- + An event in an agent turn response stream. + AgentTurnResponseStepCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_complete + default: step_complete + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + step_details: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: Complete details of the executed step + additionalProperties: false + required: + - event_type + - step_type + - step_id + - step_details + title: AgentTurnResponseStepCompletePayload + description: >- + Payload for step completion events in agent turn responses. + AgentTurnResponseStepProgressPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_progress + default: step_progress + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + delta: + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/TextDelta' + image: '#/components/schemas/ImageDelta' + tool_call: '#/components/schemas/ToolCallDelta' + description: >- + Incremental content changes during step execution + additionalProperties: false + required: + - event_type + - step_type + - step_id + - delta + title: AgentTurnResponseStepProgressPayload + description: >- + Payload for step progress events in agent turn responses. + AgentTurnResponseStepStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_start + default: step_start + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata for the step + additionalProperties: false + required: + - event_type + - step_type + - step_id + title: AgentTurnResponseStepStartPayload + description: >- + Payload for step start events in agent turn responses. + AgentTurnResponseStreamChunk: + type: object + properties: + event: + $ref: '#/components/schemas/AgentTurnResponseEvent' + description: >- + Individual event in the agent turn response stream + additionalProperties: false + required: + - event + title: AgentTurnResponseStreamChunk + description: Streamed agent turn completion response. + "AgentTurnResponseTurnAwaitingInputPayload": + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_awaiting_input + default: turn_awaiting_input + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Turn data when waiting for external tool responses + additionalProperties: false + required: + - event_type + - turn + title: >- + AgentTurnResponseTurnAwaitingInputPayload + description: >- + Payload for turn awaiting input events in agent turn responses. + AgentTurnResponseTurnCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_complete + default: turn_complete + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Complete turn data including all steps and results + additionalProperties: false + required: + - event_type + - turn + title: AgentTurnResponseTurnCompletePayload + description: >- + Payload for turn completion events in agent turn responses. + AgentTurnResponseTurnStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_start + default: turn_start + description: Type of event being reported + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + additionalProperties: false + required: + - event_type + - turn_id + title: AgentTurnResponseTurnStartPayload + description: >- + Payload for turn start events in agent turn responses. + ImageDelta: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the delta. Always "image" + image: + type: string + contentEncoding: base64 + description: The incremental image data as bytes + additionalProperties: false + required: + - type + - image + title: ImageDelta + description: >- + An image content delta for streaming responses. + TextDelta: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the delta. Always "text" + text: + type: string + description: The incremental text content + additionalProperties: false + required: + - type + - text + title: TextDelta + description: >- + A text content delta for streaming responses. + ToolCallDelta: + type: object + properties: + type: + type: string + const: tool_call + default: tool_call + description: >- + Discriminator type of the delta. Always "tool_call" + tool_call: + oneOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + description: >- + Either an in-progress tool call string or the final parsed tool call + parse_status: + type: string + enum: + - started + - in_progress + - failed + - succeeded + description: Current parsing status of the tool call + additionalProperties: false + required: + - type + - tool_call + - parse_status + title: ToolCallDelta + description: >- + A tool call content delta for streaming responses. + ResumeAgentTurnRequest: + type: object + properties: + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: >- + The tool call responses to resume the turn with. + stream: + type: boolean + description: Whether to stream the response. + additionalProperties: false + required: + - tool_responses + title: ResumeAgentTurnRequest + AgentStepResponse: + type: object + properties: + step: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + The complete step data and execution details + additionalProperties: false + required: + - step + title: AgentStepResponse + description: >- + Response containing details of a specific agent step. + AppendRowsRequest: + type: object + properties: + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to append to the dataset. + additionalProperties: false + required: + - rows + title: AppendRowsRequest + Dataset: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: dataset + default: dataset + description: >- + Type of resource, always 'dataset' for datasets + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + Purpose of the dataset indicating its intended use + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + description: >- + Data source configuration for the dataset + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Additional metadata for the dataset + additionalProperties: false + required: + - identifier + - provider_id + - type + - purpose + - source + - metadata + title: Dataset + description: >- + Dataset resource for storing and accessing training or evaluation data. + RowsDataSource: + type: object + properties: + type: + type: string + const: rows + default: rows + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user", + "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, + world!"}]} ] + additionalProperties: false + required: + - type + - rows + title: RowsDataSource + description: A dataset stored in rows. + URIDataSource: + type: object + properties: + type: + type: string + const: uri + default: uri + uri: + type: string + description: >- + The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl" + - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}" + additionalProperties: false + required: + - type + - uri + title: URIDataSource + description: >- + A dataset that can be obtained from a URI. + ListDatasetsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Dataset' + description: List of datasets + additionalProperties: false + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + DataSource: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + RegisterDatasetRequest: + type: object + properties: + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + The purpose of the dataset. One of: - "post-training/messages": The dataset + contains a messages column with list of messages for post-training. { + "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant", + "content": "Hello, world!"}, ] } - "eval/question-answer": The dataset + contains a question column and an answer column for evaluation. { "question": + "What is the capital of France?", "answer": "Paris" } - "eval/messages-answer": + The dataset contains a messages column with list of messages and an answer + column for evaluation. { "messages": [ {"role": "user", "content": "Hello, + my name is John Doe."}, {"role": "assistant", "content": "Hello, John + Doe. How can I help you today?"}, {"role": "user", "content": "What's + my name?"}, ], "answer": "John Doe" } + source: + $ref: '#/components/schemas/DataSource' + description: >- + The data source of the dataset. Ensure that the data source schema is + compatible with the purpose of the dataset. Examples: - { "type": "uri", + "uri": "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": + "lsfs://mydata.jsonl" } - { "type": "uri", "uri": "data:csv;base64,{base64_content}" + } - { "type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train" + } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content": + "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] + } ] } + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The metadata for the dataset. - E.g. {"description": "My dataset"}. + dataset_id: + type: string + description: >- + The ID of the dataset. If not provided, an ID will be generated. + additionalProperties: false + required: + - purpose + - source + title: RegisterDatasetRequest + Benchmark: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: benchmark + default: benchmark + description: The resource type, always benchmark + dataset_id: + type: string + description: >- + Identifier of the dataset to use for the benchmark evaluation + scoring_functions: + type: array + items: + type: string + description: >- + List of scoring function identifiers to apply during evaluation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Metadata for this evaluation task + additionalProperties: false + required: + - identifier + - provider_id + - type + - dataset_id + - scoring_functions + - metadata + title: Benchmark + description: >- + A benchmark resource for evaluating model performance. + ListBenchmarksResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Benchmark' + additionalProperties: false + required: + - data + title: ListBenchmarksResponse + RegisterBenchmarkRequest: + type: object + properties: + benchmark_id: + type: string + description: The ID of the benchmark to register. + dataset_id: + type: string + description: >- + The ID of the dataset to use for the benchmark. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the benchmark. + provider_benchmark_id: + type: string + description: >- + The ID of the provider benchmark to use for the benchmark. + provider_id: + type: string + description: >- + The ID of the provider to use for the benchmark. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The metadata to use for the benchmark. + additionalProperties: false + required: + - benchmark_id + - dataset_id + - scoring_functions + title: RegisterBenchmarkRequest + AgentCandidate: + type: object + properties: + type: + type: string + const: agent + default: agent + config: + $ref: '#/components/schemas/AgentConfig' + description: >- + The configuration for the agent candidate. + additionalProperties: false + required: + - type + - config + title: AgentCandidate + description: An agent candidate for evaluation. + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: >- + Types of aggregation functions for scoring results. + BasicScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: basic + default: basic + description: >- + The type of scoring function parameters, always basic + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - aggregation_functions + title: BasicScoringFnParams + description: >- + Parameters for basic scoring function configuration. + BenchmarkConfig: + type: object + properties: + eval_candidate: + oneOf: + - $ref: '#/components/schemas/ModelCandidate' + - $ref: '#/components/schemas/AgentCandidate' + discriminator: + propertyName: type + mapping: + model: '#/components/schemas/ModelCandidate' + agent: '#/components/schemas/AgentCandidate' + description: The candidate to evaluate. + scoring_params: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringFnParams' + description: >- + Map between scoring function id and parameters for each scoring function + you want to run + num_examples: + type: integer + description: >- + (Optional) The number of examples to evaluate. If not provided, all examples + in the dataset will be evaluated + additionalProperties: false + required: + - eval_candidate + - scoring_params + title: BenchmarkConfig + description: >- + A benchmark configuration for evaluation. + LLMAsJudgeScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: llm_as_judge + default: llm_as_judge + description: >- + The type of scoring function parameters, always llm_as_judge + judge_model: + type: string + description: >- + Identifier of the LLM model to use as a judge for scoring + prompt_template: + type: string + description: >- + (Optional) Custom prompt template for the judge model + judge_score_regexes: + type: array + items: + type: string + description: >- + Regexes to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - judge_model + - judge_score_regexes + - aggregation_functions + title: LLMAsJudgeScoringFnParams + description: >- + Parameters for LLM-as-judge scoring function configuration. + ModelCandidate: + type: object + properties: + type: + type: string + const: model + default: model + model: + type: string + description: The model ID to evaluate. + sampling_params: + $ref: '#/components/schemas/SamplingParams' + description: The sampling parameters for the model. + system_message: + $ref: '#/components/schemas/SystemMessage' + description: >- + (Optional) The system message providing instructions or context to the + model. + additionalProperties: false + required: + - type + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + RegexParserScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: regex_parser + default: regex_parser + description: >- + The type of scoring function parameters, always regex_parser + parsing_regexes: + type: array + items: + type: string + description: >- + Regex to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - parsing_regexes + - aggregation_functions + title: RegexParserScoringFnParams + description: >- + Parameters for regex parser scoring function configuration. + ScoringFnParams: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + basic: '#/components/schemas/BasicScoringFnParams' + ScoringFnParamsType: + type: string + enum: + - llm_as_judge + - regex_parser + - basic + title: ScoringFnParamsType + description: >- + Types of scoring function parameter configurations. + SystemMessage: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + additionalProperties: false + required: + - role + - content + title: SystemMessage + description: >- + A system message providing instructions or context to the model. + EvaluateRowsRequest: + type: object + properties: + input_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to evaluate. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the evaluation. + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - input_rows + - scoring_functions + - benchmark_config + title: EvaluateRowsRequest + EvaluateResponse: + type: object + properties: + generations: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The generations from the evaluation. + scores: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: The scores from the evaluation. + additionalProperties: false + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ScoringResult: + type: object + properties: + score_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The scoring result for each row. Each row is a map of column name to value. + aggregated_results: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Map of metric name to aggregated value + additionalProperties: false + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + RunEvalRequest: + type: object + properties: + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - benchmark_config + title: RunEvalRequest + Job: + type: object + properties: + job_id: + type: string + description: Unique identifier for the job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current execution status of the job + additionalProperties: false + required: + - job_id + - status + title: Job + description: >- + A job execution instance with status tracking. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + ListOpenAIChatCompletionResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + description: >- + List of chat completion objects with their input messages + has_more: + type: boolean + description: >- + Whether there are more completions available beyond this list + first_id: + type: string + description: ID of the first completion in this list + last_id: + type: string + description: ID of the last completion in this list + object: + type: string + const: list + default: list + description: >- + Must be "list" to identify this as a list response + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIChatCompletionResponse + description: >- + Response from listing OpenAI-compatible chat completions. + OpenAIAssistantMessageParam: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the model's response + name: + type: string + description: >- + (Optional) The name of the assistant message participant. + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: >- + List of tool calls. Each tool call is an OpenAIChatCompletionToolCall + object. + additionalProperties: false + required: + - role + title: OpenAIAssistantMessageParam + description: >- + A message containing the model's (assistant) response in an OpenAI-compatible + chat completion request. + "OpenAIChatCompletionContentPartImageParam": + type: object + properties: + type: + type: string + const: image_url + default: image_url + description: >- + Must be "image_url" to identify this as image content + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + description: >- + Image URL specification and processing details + additionalProperties: false + required: + - type + - image_url + title: >- + OpenAIChatCompletionContentPartImageParam + description: >- + Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartParam: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + file: '#/components/schemas/OpenAIFile' + OpenAIChatCompletionContentPartTextParam: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to identify this as text content + text: + type: string + description: The text content of the message + additionalProperties: false + required: + - type + - text + title: OpenAIChatCompletionContentPartTextParam + description: >- + Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionToolCall: + type: object + properties: + index: + type: integer + description: >- + (Optional) Index of the tool call in the list + id: + type: string + description: >- + (Optional) Unique identifier for the tool call + type: + type: string + const: function + default: function + description: >- + Must be "function" to identify this as a function call + function: + $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + description: (Optional) Function call details + additionalProperties: false + required: + - type + title: OpenAIChatCompletionToolCall + description: >- + Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: + type: object + properties: + name: + type: string + description: (Optional) Name of the function to call + arguments: + type: string + description: >- + (Optional) Arguments to pass to the function as a JSON string + additionalProperties: false + title: OpenAIChatCompletionToolCallFunction + description: >- + Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: + type: object + properties: + prompt_tokens: + type: integer + description: Number of tokens in the prompt + completion_tokens: + type: integer + description: Number of tokens in the completion + total_tokens: + type: integer + description: Total tokens used (prompt + completion) + prompt_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + title: >- + OpenAIChatCompletionUsagePromptTokensDetails + description: >- + Token details for prompt tokens in OpenAI chat completion usage. + completion_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + title: >- + OpenAIChatCompletionUsageCompletionTokensDetails + description: >- + Token details for output tokens in OpenAI chat completion usage. + additionalProperties: false + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: >- + Usage information for OpenAI chat completion. + OpenAIChoice: + type: object + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + description: The message from the model + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: >- + A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs: + type: object + properties: + content: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + refusal: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + title: OpenAIChoiceLogprobs + description: >- + The log probabilities for the tokens in the message from an OpenAI-compatible + chat completion response. + OpenAIDeveloperMessageParam: + type: object + properties: + role: + type: string + const: developer + default: developer + description: >- + Must be "developer" to identify this as a developer message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the developer message + name: + type: string + description: >- + (Optional) The name of the developer message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIDeveloperMessageParam + description: >- + A message from the developer in an OpenAI-compatible chat completion request. + OpenAIFile: + type: object + properties: + type: + type: string + const: file + default: file + file: + $ref: '#/components/schemas/OpenAIFileFile' + additionalProperties: false + required: + - type + - file + title: OpenAIFile + OpenAIFileFile: + type: object + properties: + file_data: + type: string + file_id: + type: string + filename: + type: string + additionalProperties: false + title: OpenAIFileFile + OpenAIImageURL: + type: object + properties: + url: + type: string + description: >- + URL of the image to include in the message + detail: + type: string + description: >- + (Optional) Level of detail for image processing. Can be "low", "high", + or "auto" + additionalProperties: false + required: + - url + title: OpenAIImageURL + description: >- + Image URL specification for OpenAI-compatible chat completion messages. + OpenAIMessageParam: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAISystemMessageParam: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + name: + type: string + description: >- + (Optional) The name of the system message participant. + additionalProperties: false + required: + - role + - content + title: OpenAISystemMessageParam + description: >- + A system message providing instructions or context to the model. + OpenAITokenLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + top_logprobs: + type: array + items: + $ref: '#/components/schemas/OpenAITopLogProb' + additionalProperties: false + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: >- + The log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIToolMessageParam: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + tool_call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The response content from the tool + additionalProperties: false + required: + - role + - tool_call_id + - content + title: OpenAIToolMessageParam + description: >- + A message representing the result of a tool invocation in an OpenAI-compatible + chat completion request. + OpenAITopLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + additionalProperties: false + required: + - token + - logprob + title: OpenAITopLogProb + description: >- + The top log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIUserMessageParam: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' + description: >- + The content of the message, which can include text and other media + name: + type: string + description: >- + (Optional) The name of the user message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIUserMessageParam + description: >- + A message from the user in an OpenAI-compatible chat completion request. + OpenAIJSONSchema: + type: object + properties: + name: + type: string + description: Name of the schema + description: + type: string + description: (Optional) Description of the schema + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict adherence to the schema + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The JSON schema definition + additionalProperties: false + required: + - name + title: OpenAIJSONSchema + description: >- + JSON schema specification for OpenAI-compatible structured response format. + OpenAIResponseFormatJSONObject: + type: object + properties: + type: + type: string + const: json_object + default: json_object + description: >- + Must be "json_object" to indicate generic JSON object response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatJSONObject + description: >- + JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: + type: object + properties: + type: + type: string + const: json_schema + default: json_schema + description: >- + Must be "json_schema" to indicate structured JSON response format + json_schema: + $ref: '#/components/schemas/OpenAIJSONSchema' + description: >- + The JSON schema specification for the response + additionalProperties: false + required: + - type + - json_schema + title: OpenAIResponseFormatJSONSchema + description: >- + JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatParam: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIResponseFormatText' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + OpenAIResponseFormatText: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to indicate plain text response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatText + description: >- + Text response format for OpenAI-compatible chat completion requests. + OpenAIChatCompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + description: List of messages in the conversation. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + function_call: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The function call to use. + functions: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) List of functions to use. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_completion_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + parallel_tool_calls: + type: boolean + description: >- + (Optional) Whether to parallelize tool calls. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + response_format: + $ref: '#/components/schemas/OpenAIResponseFormatParam' + description: (Optional) The response format to use. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + tool_choice: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tool choice to use. + tools: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tools to use. + top_logprobs: + type: integer + description: >- + (Optional) The top log probabilities to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + additionalProperties: false + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletion: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletion + description: >- + Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionChunk: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + description: List of choices + object: + type: string + const: chat.completion.chunk + default: chat.completion.chunk + description: >- + The object type, which will be "chat.completion.chunk" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information (typically included in final chunk with stream_options) + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletionChunk + description: >- + Chunk from a streaming response to an OpenAI-compatible chat completion request. + OpenAIChoiceDelta: + type: object + properties: + content: + type: string + description: (Optional) The content of the delta + refusal: + type: string + description: (Optional) The refusal of the delta + role: + type: string + description: (Optional) The role of the delta + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: (Optional) The tool calls of the delta + reasoning_content: + type: string + description: >- + (Optional) The reasoning content from the model (non-standard, for o1/o3 + models) + additionalProperties: false + title: OpenAIChoiceDelta + description: >- + A delta from an OpenAI-compatible chat completion streaming response. + OpenAIChunkChoice: + type: object + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + description: The delta from the chunk + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + description: >- + A chunk choice from an OpenAI-compatible chat completion streaming response. + OpenAICompletionWithInputMessages: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + prompt: + oneOf: + - type: string + - type: array + items: + type: string + - type: array + items: + type: integer + - type: array + items: + type: array + items: + type: integer + description: The prompt to generate a completion for. + best_of: + type: integer + description: >- + (Optional) The number of completions to generate. + echo: + type: boolean + description: (Optional) Whether to echo the prompt. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + suffix: + type: string + description: >- + (Optional) The suffix that should be appended to the completion. + additionalProperties: false + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletion: + type: object + properties: + id: + type: string + choices: + type: array + items: + $ref: '#/components/schemas/OpenAICompletionChoice' + created: + type: integer + model: + type: string + object: + type: string + const: text_completion + default: text_completion + additionalProperties: false + required: + - id + - choices + - created + - model + - object + title: OpenAICompletion + description: >- + Response from an OpenAI-compatible completion request. + OpenAICompletionChoice: + type: object + properties: + finish_reason: + type: string + text: + type: string + index: + type: integer + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + additionalProperties: false + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: >- + A choice from an OpenAI-compatible completion response. + OpenAIEmbeddingsRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be an embedding model + registered with Llama Stack and available via the /models endpoint. + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input text to embed, encoded as a string or array of strings. To embed + multiple inputs in a single request, pass an array of strings. + encoding_format: + type: string + default: float + description: >- + (Optional) The format to return the embeddings in. Can be either "float" + or "base64". Defaults to "float". + dimensions: + type: integer + description: >- + (Optional) The number of dimensions the resulting output embeddings should + have. Only supported in text-embedding-3 and later models. + user: + type: string + description: >- + (Optional) A unique identifier representing your end-user, which can help + OpenAI to monitor and detect abuse. + additionalProperties: false + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingData: + type: object + properties: + object: + type: string + const: embedding + default: embedding + description: >- + The object type, which will be "embedding" + embedding: + oneOf: + - type: array + items: + type: number + - type: string + description: >- + The embedding vector as a list of floats (when encoding_format="float") + or as a base64-encoded string (when encoding_format="base64") + index: + type: integer + description: >- + The index of the embedding in the input list + additionalProperties: false + required: + - object + - embedding + - index + title: OpenAIEmbeddingData + description: >- + A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + type: object + properties: + prompt_tokens: + type: integer + description: The number of tokens in the input + total_tokens: + type: integer + description: The total number of tokens used + additionalProperties: false + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: >- + Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsResponse: + type: object + properties: + object: + type: string + const: list + default: list + description: The object type, which will be "list" + data: + type: array + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + description: List of embedding data objects + model: + type: string + description: >- + The model that was used to generate the embeddings + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + description: Usage information + additionalProperties: false + required: + - object + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: >- + Response from an OpenAI-compatible embeddings request. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: >- + Valid purpose values for OpenAI Files API. + ListOpenAIFileResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIFileObject' + description: List of file objects + has_more: + type: boolean + description: >- + Whether there are more files available beyond this page + first_id: + type: string + description: >- + ID of the first file in the list for pagination + last_id: + type: string + description: >- + ID of the last file in the list for pagination + object: + type: string + const: list + default: list + description: The object type, which is always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIFileResponse + description: >- + Response for listing files in OpenAI Files API. + OpenAIFileObject: + type: object + properties: + object: + type: string + const: file + default: file + description: The object type, which is always "file" + id: + type: string + description: >- + The file identifier, which can be referenced in the API endpoints + bytes: + type: integer + description: The size of the file, in bytes + created_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file was created + expires_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file expires + filename: + type: string + description: The name of the file + purpose: + type: string + enum: + - assistants + - batch + description: The intended purpose of the file + additionalProperties: false + required: + - object + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: >- + OpenAI File object as defined in the OpenAI Files API. + ExpiresAfter: + type: object + properties: + anchor: + type: string + const: created_at + seconds: + type: integer + additionalProperties: false + required: + - anchor + - seconds + title: ExpiresAfter + description: >- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + OpenAIFileDeleteResponse: + type: object + properties: + id: + type: string + description: The file identifier that was deleted + object: + type: string + const: file + default: file + description: The object type, which is always "file" + deleted: + type: boolean + description: >- + Whether the file was successfully deleted + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIFileDeleteResponse + description: >- + Response for deleting a file in OpenAI Files API. + Response: + type: object + title: Response + OpenAIModel: + type: object + properties: + id: + type: string + object: + type: string + const: model + default: model + created: + type: integer + owned_by: + type: string + additionalProperties: false + required: + - id + - object + - created + - owned_by + title: OpenAIModel + description: A model from OpenAI. + OpenAIListModelsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIModel' + additionalProperties: false + required: + - data + title: OpenAIListModelsResponse + RunModerationRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input (or inputs) to classify. Can be a single string, an array of strings, + or an array of multi-modal input objects similar to other models. + model: + type: string + description: >- + The content moderation model you would like to use. + additionalProperties: false + required: + - input + - model + title: RunModerationRequest + ModerationObject: + type: object + properties: + id: + type: string + description: >- + The unique identifier for the moderation request. + model: + type: string + description: >- + The model used to generate the moderation results. + results: + type: array + items: + $ref: '#/components/schemas/ModerationObjectResults' + description: A list of moderation objects + additionalProperties: false + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + type: object + properties: + flagged: + type: boolean + description: >- + Whether any of the below categories are flagged. + categories: + type: object + additionalProperties: + type: boolean + description: >- + A list of the categories, and whether they are flagged or not. + category_applied_input_types: + type: object + additionalProperties: + type: array + items: + type: string + description: >- + A list of the categories along with the input type(s) that the score applies + to. + category_scores: + type: object + additionalProperties: + type: number + description: >- + A list of the categories along with their scores as predicted by model. + user_message: + type: string + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - flagged + - metadata + title: ModerationObjectResults + description: A moderation object. + ListOpenAIResponseObject: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + description: >- + List of response objects with their input context + has_more: + type: boolean + description: >- + Whether there are more results available beyond this page + first_id: + type: string + description: >- + Identifier of the first item in this page + last_id: + type: string + description: Identifier of the last item in this page + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIResponseObject + description: >- + Paginated list of OpenAI response objects with navigation metadata. + OpenAIResponseAnnotationCitation: + type: object + properties: + type: + type: string + const: url_citation + default: url_citation + description: >- + Annotation type identifier, always "url_citation" + end_index: + type: integer + description: >- + End position of the citation span in the content + start_index: + type: integer + description: >- + Start position of the citation span in the content + title: + type: string + description: Title of the referenced web resource + url: + type: string + description: URL of the referenced web resource + additionalProperties: false + required: + - type + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: >- + URL citation annotation for referencing external web resources. + "OpenAIResponseAnnotationContainerFileCitation": + type: object + properties: + type: + type: string + const: container_file_citation + default: container_file_citation + container_id: + type: string + end_index: + type: integer + file_id: + type: string + filename: + type: string + start_index: + type: integer + additionalProperties: false + required: + - type + - container_id + - end_index + - file_id + - filename + - start_index + title: >- + OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + type: object + properties: + type: + type: string + const: file_citation + default: file_citation + description: >- + Annotation type identifier, always "file_citation" + file_id: + type: string + description: Unique identifier of the referenced file + filename: + type: string + description: Name of the referenced file + index: + type: integer + description: >- + Position index of the citation within the content + additionalProperties: false + required: + - type + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: >- + File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + type: object + properties: + type: + type: string + const: file_path + default: file_path + file_id: + type: string + index: + type: integer + additionalProperties: false + required: + - type + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseAnnotations: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. + OpenAIResponseError: + type: object + properties: + code: + type: string + description: >- + Error code identifying the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: OpenAIResponseError + description: >- + Error details for failed OpenAI response requests. + OpenAIResponseInput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMessage' + "OpenAIResponseInputFunctionToolCallOutput": + type: object + properties: + call_id: + type: string + output: + type: string + type: + type: string + const: function_call_output + default: function_call_output + id: + type: string + status: + type: string + additionalProperties: false + required: + - call_id + - output + - type + title: >- + OpenAIResponseInputFunctionToolCallOutput + description: >- + This represents the output of a function call that gets passed back to the + model. + OpenAIResponseInputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + discriminator: + propertyName: type + mapping: + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + OpenAIResponseInputMessageContentImage: + type: object + properties: + detail: + oneOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + default: auto + description: >- + Level of detail for image processing, can be "low", "high", or "auto" + type: + type: string + const: input_image + default: input_image + description: >- + Content type identifier, always "input_image" + image_url: + type: string + description: (Optional) URL of the image content + additionalProperties: false + required: + - detail + - type + title: OpenAIResponseInputMessageContentImage + description: >- + Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: + type: object + properties: + text: + type: string + description: The text content of the input message + type: + type: string + const: input_text + default: input_text + description: >- + Content type identifier, always "input_text" + additionalProperties: false + required: + - text + - type + title: OpenAIResponseInputMessageContentText + description: >- + Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + type: object + properties: + type: + type: string + const: file_search + default: file_search + description: >- + Tool type identifier, always "file_search" + vector_store_ids: + type: array + items: + type: string + description: >- + List of vector store identifiers to search within + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional filters to apply to the search + max_num_results: + type: integer + default: 10 + description: >- + (Optional) Maximum number of search results to return (1-50) + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + (Optional) Options for ranking and scoring search results + additionalProperties: false + required: + - type + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: >- + File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + type: object + properties: + type: + type: string + const: function + default: function + description: Tool type identifier, always "function" + name: + type: string + description: Name of the function that can be called + description: + type: string + description: >- + (Optional) Description of what the function does + parameters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON schema defining the function's parameters + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict parameter validation + additionalProperties: false + required: + - type + - name + title: OpenAIResponseInputToolFunction + description: >- + Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + type: object + properties: + type: + oneOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + default: web_search + description: Web search tool type variant to use + search_context_size: + type: string + default: medium + description: >- + (Optional) Size of search context, must be "low", "medium", or "high" + additionalProperties: false + required: + - type + title: OpenAIResponseInputToolWebSearch + description: >- + Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + type: object + properties: + arguments: + type: string + id: + type: string + name: + type: string + server_label: + type: string + type: + type: string + const: mcp_approval_request + default: mcp_approval_request + additionalProperties: false + required: + - arguments + - id + - name + - server_label + - type + title: OpenAIResponseMCPApprovalRequest + description: >- + A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + type: object + properties: + approval_request_id: + type: string + approve: + type: boolean + type: + type: string + const: mcp_approval_response + default: mcp_approval_response + id: + type: string + reason: + type: string + additionalProperties: false + required: + - approval_request_id + - approve + - type + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage: + type: object + properties: + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputMessageContent' + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageContent' + role: + oneOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + type: + type: string + const: message + default: message + id: + type: string + status: + type: string + additionalProperties: false + required: + - content + - role + - type + title: OpenAIResponseMessage + description: >- + Corresponds to the various Message types in the Responses API. They are all + under one type because the Responses API gives them all the same "type" value, + and there is no way to tell them apart in certain scenarios. + OpenAIResponseObjectWithInput: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + input: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: >- + List of input items that led to this response + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + - input + title: OpenAIResponseObjectWithInput + description: >- + OpenAI response object extended with input context information. + OpenAIResponseOutput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": + type: object + properties: + text: + type: string + type: + type: string + const: output_text + default: output_text + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + additionalProperties: false + required: + - text + - type + - annotations + title: >- + OpenAIResponseOutputMessageContentOutputText + "OpenAIResponseOutputMessageFileSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + queries: + type: array + items: + type: string + description: List of search queries executed + status: + type: string + description: >- + Current status of the file search operation + type: + type: string + const: file_search_call + default: file_search_call + description: >- + Tool call type identifier, always "file_search_call" + results: + type: array + items: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes associated with the file + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: >- + Relevance score for this search result (between 0 and 1) + text: + type: string + description: Text content of the search result + additionalProperties: false + required: + - attributes + - file_id + - filename + - score + - text + title: >- + OpenAIResponseOutputMessageFileSearchToolCallResults + description: >- + Search results returned by the file search operation. + description: >- + (Optional) Search results returned by the file search operation + additionalProperties: false + required: + - id + - queries + - status + - type + title: >- + OpenAIResponseOutputMessageFileSearchToolCall + description: >- + File search tool call output message for OpenAI responses. + "OpenAIResponseOutputMessageFunctionToolCall": + type: object + properties: + call_id: + type: string + description: Unique identifier for the function call + name: + type: string + description: Name of the function being called + arguments: + type: string + description: >- + JSON string containing the function arguments + type: + type: string + const: function_call + default: function_call + description: >- + Tool call type identifier, always "function_call" + id: + type: string + description: >- + (Optional) Additional identifier for the tool call + status: + type: string + description: >- + (Optional) Current status of the function call execution + additionalProperties: false + required: + - call_id + - name + - arguments + - type + title: >- + OpenAIResponseOutputMessageFunctionToolCall + description: >- + Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + type: object + properties: + id: + type: string + description: Unique identifier for this MCP call + type: + type: string + const: mcp_call + default: mcp_call + description: >- + Tool call type identifier, always "mcp_call" + arguments: + type: string + description: >- + JSON string containing the MCP call arguments + name: + type: string + description: Name of the MCP method being called + server_label: + type: string + description: >- + Label identifying the MCP server handling the call + error: + type: string + description: >- + (Optional) Error message if the MCP call failed + output: + type: string + description: >- + (Optional) Output result from the successful MCP call + additionalProperties: false + required: + - id + - type + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: >- + Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + type: object + properties: + id: + type: string + description: >- + Unique identifier for this MCP list tools operation + type: + type: string + const: mcp_list_tools + default: mcp_list_tools + description: >- + Tool call type identifier, always "mcp_list_tools" + server_label: + type: string + description: >- + Label identifying the MCP server providing the tools + tools: + type: array + items: + type: object + properties: + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + JSON schema defining the tool's input parameters + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Description of what the tool does + additionalProperties: false + required: + - input_schema + - name + title: MCPListToolsTool + description: >- + Tool definition returned by MCP list tools operation. + description: >- + List of available tools provided by the MCP server + additionalProperties: false + required: + - id + - type + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: >- + MCP list tools output message containing available tools from an MCP server. + "OpenAIResponseOutputMessageWebSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + status: + type: string + description: >- + Current status of the web search operation + type: + type: string + const: web_search_call + default: web_search_call + description: >- + Tool call type identifier, always "web_search_call" + additionalProperties: false + required: + - id + - status + - type + title: >- + OpenAIResponseOutputMessageWebSearchToolCall + description: >- + Web search tool call output message for OpenAI responses. + OpenAIResponseText: + type: object + properties: + format: + type: object + properties: + type: + oneOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + description: >- + Must be "text", "json_schema", or "json_object" to identify the format + type + name: + type: string + description: >- + The name of the response format. Only used for json_schema. + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. Only used for json_schema. + description: + type: string + description: >- + (Optional) A description of the response format. Only used for json_schema. + strict: + type: boolean + description: >- + (Optional) Whether to strictly enforce the JSON schema. If true, the + response must match the schema exactly. Only used for json_schema. + additionalProperties: false + required: + - type + description: >- + (Optional) Text format configuration specifying output format requirements + additionalProperties: false + title: OpenAIResponseText + description: >- + Text response configuration for OpenAI responses. + OpenAIResponseTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + title: OpenAIResponseToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + type: object + properties: + input_tokens: + type: integer + description: Number of tokens in the input + output_tokens: + type: integer + description: Number of tokens in the output + total_tokens: + type: integer + description: Total tokens used (input + output) + input_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + description: Detailed breakdown of input token usage + output_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + description: Detailed breakdown of output token usage + additionalProperties: false + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + ResponseGuardrailSpec: + type: object + properties: + type: + type: string + description: The type/identifier of the guardrail. + additionalProperties: false + required: + - type + title: ResponseGuardrailSpec + description: >- + Specification for a guardrail to apply during response generation. + OpenAIResponseInputTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseInputToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + server_url: + type: string + description: URL endpoint of the MCP server + headers: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) HTTP headers to include when connecting to the server + require_approval: + oneOf: + - type: string + const: always + - type: string + const: never + - type: object + properties: + always: + type: array + items: + type: string + description: >- + (Optional) List of tool names that always require approval + never: + type: array + items: + type: string + description: >- + (Optional) List of tool names that never require approval + additionalProperties: false + title: ApprovalFilter + description: >- + Filter configuration for MCP tool approval requirements. + default: never + description: >- + Approval requirement for tool calls ("always", "never", or filter) + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + - server_url + - require_approval + title: OpenAIResponseInputToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + CreateOpenaiResponseRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: Input message(s) to create the response. + model: + type: string + description: The underlying LLM used for completions. + instructions: + type: string + previous_response_id: + type: string + description: >- + (Optional) if specified, the new response will be a continuation of the + previous response. This can be used to easily fork-off new responses from + existing responses. + conversation: + type: string + description: >- + (Optional) The ID of a conversation to add the response to. Must begin + with 'conv_'. Input and output messages will be automatically added to + the conversation. + store: + type: boolean + stream: + type: boolean + temperature: + type: number + text: + $ref: '#/components/schemas/OpenAIResponseText' + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputTool' + include: + type: array + items: + type: string + description: >- + (Optional) Additional fields to include in the response. + max_infer_iters: + type: integer + additionalProperties: false + required: + - input + - model + title: CreateOpenaiResponseRequest + OpenAIResponseObject: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + title: OpenAIResponseObject + description: >- + Complete OpenAI response object containing generation results and metadata. + OpenAIResponseContentPartOutputText: + type: object + properties: + type: + type: string + const: output_text + default: output_text + description: >- + Content part type identifier, always "output_text" + text: + type: string + description: Text emitted for this content part + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + description: >- + Structured annotations associated with the text + logprobs: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) Token log probability details + additionalProperties: false + required: + - type + - text + - annotations + title: OpenAIResponseContentPartOutputText + description: >- + Text content within a streamed response part. + "OpenAIResponseContentPartReasoningSummary": + type: object + properties: + type: + type: string + const: summary_text + default: summary_text + description: >- + Content part type identifier, always "summary_text" + text: + type: string + description: Summary text + additionalProperties: false + required: + - type + - text + title: >- + OpenAIResponseContentPartReasoningSummary + description: >- + Reasoning summary part in a streamed response. + OpenAIResponseContentPartReasoningText: + type: object + properties: + type: + type: string + const: reasoning_text + default: reasoning_text + description: >- + Content part type identifier, always "reasoning_text" + text: + type: string + description: Reasoning text supplied by the model + additionalProperties: false + required: + - type + - text + title: OpenAIResponseContentPartReasoningText + description: >- + Reasoning text emitted as part of a streamed response. + OpenAIResponseObjectStream: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + discriminator: + propertyName: type + mapping: + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + "OpenAIResponseObjectStreamResponseCompleted": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Completed response object + type: + type: string + const: response.completed + default: response.completed + description: >- + Event type identifier, always "response.completed" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCompleted + description: >- + Streaming event indicating a response has been completed. + "OpenAIResponseObjectStreamResponseContentPartAdded": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The content part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.added + default: response.content_part.added + description: >- + Event type identifier, always "response.content_part.added" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartAdded + description: >- + Streaming event for when a new content part is added to a response item. + "OpenAIResponseObjectStreamResponseContentPartDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The completed content part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.done + default: response.content_part.done + description: >- + Event type identifier, always "response.content_part.done" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartDone + description: >- + Streaming event for when a content part is completed. + "OpenAIResponseObjectStreamResponseCreated": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: The response object that was created + type: + type: string + const: response.created + default: response.created + description: >- + Event type identifier, always "response.created" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCreated + description: >- + Streaming event indicating a new response has been created. + OpenAIResponseObjectStreamResponseFailed: + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Response object describing the failure + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.failed + default: response.failed + description: >- + Event type identifier, always "response.failed" + additionalProperties: false + required: + - response + - sequence_number + - type + title: OpenAIResponseObjectStreamResponseFailed + description: >- + Streaming event emitted when a response fails. + "OpenAIResponseObjectStreamResponseFileSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.completed + default: response.file_search_call.completed + description: >- + Event type identifier, always "response.file_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallCompleted + description: >- + Streaming event for completed file search calls. + "OpenAIResponseObjectStreamResponseFileSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + description: >- + Event type identifier, always "response.file_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallInProgress + description: >- + Streaming event for file search calls in progress. + "OpenAIResponseObjectStreamResponseFileSearchCallSearching": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.searching + default: response.file_search_call.searching + description: >- + Event type identifier, always "response.file_search_call.searching" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallSearching + description: >- + Streaming event for file search currently searching. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta": + type: object + properties: + delta: + type: string + description: >- + Incremental function call arguments being added + item_id: + type: string + description: >- + Unique identifier of the function call being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + description: >- + Event type identifier, always "response.function_call_arguments.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + description: >- + Streaming event for incremental function call argument updates. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone": + type: object + properties: + arguments: + type: string + description: >- + Final complete arguments JSON string for the function call + item_id: + type: string + description: >- + Unique identifier of the completed function call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.done + default: response.function_call_arguments.done + description: >- + Event type identifier, always "response.function_call_arguments.done" + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + description: >- + Streaming event for when function call arguments are completed. + "OpenAIResponseObjectStreamResponseInProgress": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Current response state while in progress + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.in_progress + default: response.in_progress + description: >- + Event type identifier, always "response.in_progress" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseInProgress + description: >- + Streaming event indicating the response remains in progress. + "OpenAIResponseObjectStreamResponseIncomplete": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: >- + Response object describing the incomplete state + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.incomplete + default: response.incomplete + description: >- + Event type identifier, always "response.incomplete" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseIncomplete + description: >- + Streaming event emitted when a response ends in an incomplete state. + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta": + type: object + properties: + delta: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDone": + type: object + properties: + arguments: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + "OpenAIResponseObjectStreamResponseMcpCallCompleted": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.completed + default: response.mcp_call.completed + description: >- + Event type identifier, always "response.mcp_call.completed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallCompleted + description: Streaming event for completed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallFailed": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.failed + default: response.mcp_call.failed + description: >- + Event type identifier, always "response.mcp_call.failed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallFailed + description: Streaming event for failed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the MCP call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + description: >- + Event type identifier, always "response.mcp_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallInProgress + description: >- + Streaming event for MCP calls in progress. + "OpenAIResponseObjectStreamResponseMcpListToolsCompleted": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsCompleted + "OpenAIResponseObjectStreamResponseMcpListToolsFailed": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsFailed + "OpenAIResponseObjectStreamResponseMcpListToolsInProgress": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsInProgress + "OpenAIResponseObjectStreamResponseOutputItemAdded": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The output item that was added (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.added + default: response.output_item.added + description: >- + Event type identifier, always "response.output_item.added" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemAdded + description: >- + Streaming event for when a new output item is added to the response. + "OpenAIResponseObjectStreamResponseOutputItemDone": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The completed output item (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.done + default: response.output_item.done + description: >- + Event type identifier, always "response.output_item.done" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemDone + description: >- + Streaming event for when an output item is completed. + "OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the item to which the annotation is being added + output_index: + type: integer + description: >- + Index position of the output item in the response's output array + content_index: + type: integer + description: >- + Index position of the content part within the output item + annotation_index: + type: integer + description: >- + Index of the annotation within the content part + annotation: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + description: The annotation object being added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.annotation.added + default: response.output_text.annotation.added + description: >- + Event type identifier, always "response.output_text.annotation.added" + additionalProperties: false + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + description: >- + Streaming event for when an annotation is added to output text. + "OpenAIResponseObjectStreamResponseOutputTextDelta": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + delta: + type: string + description: Incremental text content being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.delta + default: response.output_text.delta + description: >- + Event type identifier, always "response.output_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDelta + description: >- + Streaming event for incremental text content updates. + "OpenAIResponseObjectStreamResponseOutputTextDone": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + text: + type: string + description: >- + Final complete text content of the output item + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.done + default: response.output_text.done + description: >- + Event type identifier, always "response.output_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDone + description: >- + Streaming event for when text output is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The summary part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + description: >- + Event type identifier, always "response.reasoning_summary_part.added" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + description: >- + Streaming event for when a new reasoning summary part is added. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartDone": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The completed summary part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + description: >- + Event type identifier, always "response.reasoning_summary_part.done" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + description: >- + Streaming event for when a reasoning summary part is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta": + type: object + properties: + delta: + type: string + description: Incremental summary text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + description: >- + Event type identifier, always "response.reasoning_summary_text.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + description: >- + Streaming event for incremental reasoning summary text updates. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDone": + type: object + properties: + text: + type: string + description: Final complete summary text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + description: >- + Event type identifier, always "response.reasoning_summary_text.done" + additionalProperties: false + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + description: >- + Streaming event for when reasoning summary text is completed. + "OpenAIResponseObjectStreamResponseReasoningTextDelta": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + delta: + type: string + description: Incremental reasoning text being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.delta + default: response.reasoning_text.delta + description: >- + Event type identifier, always "response.reasoning_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDelta + description: >- + Streaming event for incremental reasoning text updates. + "OpenAIResponseObjectStreamResponseReasoningTextDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + text: + type: string + description: Final complete reasoning text + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.done + default: response.reasoning_text.done + description: >- + Event type identifier, always "response.reasoning_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDone + description: >- + Streaming event for when reasoning text is completed. + "OpenAIResponseObjectStreamResponseRefusalDelta": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + delta: + type: string + description: Incremental refusal text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.delta + default: response.refusal.delta + description: >- + Event type identifier, always "response.refusal.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDelta + description: >- + Streaming event for incremental refusal text updates. + "OpenAIResponseObjectStreamResponseRefusalDone": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + refusal: + type: string + description: Final complete refusal text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.done + default: response.refusal.done + description: >- + Event type identifier, always "response.refusal.done" + additionalProperties: false + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDone + description: >- + Streaming event for when refusal text is completed. + "OpenAIResponseObjectStreamResponseWebSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.completed + default: response.web_search_call.completed + description: >- + Event type identifier, always "response.web_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallCompleted + description: >- + Streaming event for completed web search calls. + "OpenAIResponseObjectStreamResponseWebSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + description: >- + Event type identifier, always "response.web_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallInProgress + description: >- + Streaming event for web search calls in progress. + "OpenAIResponseObjectStreamResponseWebSearchCallSearching": + type: object + properties: + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.web_search_call.searching + default: response.web_search_call.searching + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallSearching + OpenAIDeleteResponseObject: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted response + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + deleted: + type: boolean + default: true + description: Deletion confirmation flag, always True + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIDeleteResponseObject + description: >- + Response object confirming deletion of an OpenAI response. + ListOpenAIResponseInputItem: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: List of input items + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - object + title: ListOpenAIResponseInputItem + description: >- + List container for OpenAI response input items. + VectorStoreFileCounts: + type: object + properties: + completed: + type: integer + description: >- + Number of files that have been successfully processed + cancelled: + type: integer + description: >- + Number of files that had their processing cancelled + failed: + type: integer + description: Number of files that failed to process + in_progress: + type: integer + description: >- + Number of files currently being processed + total: + type: integer + description: >- + Total number of files in the vector store + additionalProperties: false + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: >- + File processing status counts for a vector store. + VectorStoreListResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreObject' + description: List of vector store objects + first_id: + type: string + description: >- + (Optional) ID of the first vector store in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last vector store in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more vector stores available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListResponse + description: Response from listing vector stores. + VectorStoreObject: + type: object + properties: + id: + type: string + description: Unique identifier for the vector store + object: + type: string + default: vector_store + description: >- + Object type identifier, always "vector_store" + created_at: + type: integer + description: >- + Timestamp when the vector store was created + name: + type: string + description: (Optional) Name of the vector store + usage_bytes: + type: integer + default: 0 + description: >- + Storage space used by the vector store in bytes + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the vector store + status: + type: string + default: completed + description: Current status of the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + expires_at: + type: integer + description: >- + (Optional) Timestamp when the vector store will expire + last_active_at: + type: integer + description: >- + (Optional) Timestamp of last activity on the vector store + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + required: + - id + - object + - created_at + - usage_bytes + - file_counts + - status + - metadata + title: VectorStoreObject + description: OpenAI Vector Store object. + "OpenAICreateVectorStoreRequestWithExtraBody": + type: object + properties: + name: + type: string + description: (Optional) A name for the vector store + file_ids: + type: array + items: + type: string + description: >- + List of file IDs to include in the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + chunking_strategy: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Strategy for splitting files into chunks + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + title: >- + OpenAICreateVectorStoreRequestWithExtraBody + description: >- + Request to create a vector store with extra_body support. + OpenaiUpdateVectorStoreRequest: + type: object + properties: + name: + type: string + description: The name of the vector store. + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The expiration policy for a vector store. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of 16 key-value pairs that can be attached to an object. + additionalProperties: false + title: OpenaiUpdateVectorStoreRequest + VectorStoreDeleteResponse: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted vector store + object: + type: string + default: vector_store.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreChunkingStrategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreChunkingStrategyAuto: + type: object + properties: + type: + type: string + const: auto + default: auto + description: >- + Strategy type, always "auto" for automatic chunking + additionalProperties: false + required: + - type + title: VectorStoreChunkingStrategyAuto + description: >- + Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + type: object + properties: + type: + type: string + const: static + default: static + description: >- + Strategy type, always "static" for static chunking + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + description: >- + Configuration parameters for the static chunking strategy + additionalProperties: false + required: + - type + - static + title: VectorStoreChunkingStrategyStatic + description: >- + Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + type: object + properties: + chunk_overlap_tokens: + type: integer + default: 400 + description: >- + Number of tokens to overlap between adjacent chunks + max_chunk_size_tokens: + type: integer + default: 800 + description: >- + Maximum number of tokens per chunk, must be between 100 and 4096 + additionalProperties: false + required: + - chunk_overlap_tokens + - max_chunk_size_tokens + title: VectorStoreChunkingStrategyStaticConfig + description: >- + Configuration for static chunking strategy. + "OpenAICreateVectorStoreFileBatchRequestWithExtraBody": + type: object + properties: + file_ids: + type: array + items: + type: string + description: >- + A list of File IDs that the vector store should use + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes to store with the files + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + (Optional) The chunking strategy used to chunk the file(s). Defaults to + auto + additionalProperties: false + required: + - file_ids + title: >- + OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: >- + Request to create a vector store file batch with extra_body support. + VectorStoreFileBatchObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file batch + object: + type: string + default: vector_store.file_batch + description: >- + Object type identifier, always "vector_store.file_batch" + created_at: + type: integer + description: >- + Timestamp when the file batch was created + vector_store_id: + type: string + description: >- + ID of the vector store containing the file batch + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: >- + Current processing status of the file batch + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the batch + additionalProperties: false + required: + - id + - object + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileStatus: + oneOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + VectorStoreFileLastError: + type: object + properties: + code: + oneOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + description: >- + Error code indicating the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: VectorStoreFileLastError + description: >- + Error information for failed vector store file processing. + VectorStoreFileObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file + object: + type: string + default: vector_store.file + description: >- + Object type identifier, always "vector_store.file" + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + description: >- + Strategy used for splitting the file into chunks + created_at: + type: integer + description: >- + Timestamp when the file was added to the vector store + last_error: + $ref: '#/components/schemas/VectorStoreFileLastError' + description: >- + (Optional) Error information if file processing failed + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: Current processing status of the file + usage_bytes: + type: integer + default: 0 + description: Storage space used by this file in bytes + vector_store_id: + type: string + description: >- + ID of the vector store containing this file + additionalProperties: false + required: + - id + - object + - attributes + - chunking_strategy + - created_at + - status + - usage_bytes + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreFilesListInBatchResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: >- + List of vector store file objects in the batch + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreFilesListInBatchResponse + description: >- + Response from listing files in a vector store file batch. + VectorStoreListFilesResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: List of vector store file objects + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListFilesResponse + description: >- + Response from listing files in a vector store. + OpenaiAttachFileToVectorStoreRequest: + type: object + properties: + file_id: + type: string + description: >- + The ID of the file to attach to the vector store. + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The key-value attributes stored with the file, which can be used for filtering. + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + The chunking strategy to use for the file. + additionalProperties: false + required: + - file_id + title: OpenaiAttachFileToVectorStoreRequest + OpenaiUpdateVectorStoreFileRequest: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The updated key-value attributes to store with the file. + additionalProperties: false + required: + - attributes + title: OpenaiUpdateVectorStoreFileRequest + VectorStoreFileDeleteResponse: + type: object + properties: + id: + type: string + description: Unique identifier of the deleted file + object: + type: string + default: vector_store.file.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreFileDeleteResponse + description: >- + Response from deleting a vector store file. + VectorStoreContent: + type: object + properties: + type: + type: string + const: text + description: >- + Content type, currently only "text" is supported + text: + type: string + description: The actual text content + additionalProperties: false + required: + - type + - text + title: VectorStoreContent + description: >- + Content item from a vector store file or search result. + VectorStoreFileContentsResponse: + type: object + properties: + file_id: + type: string + description: Unique identifier for the file + filename: + type: string + description: Name of the file + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: List of content items from the file + additionalProperties: false + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: >- + Response from retrieving the contents of a vector store file. + OpenaiSearchVectorStoreRequest: + type: object + properties: + query: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + The query string or array for performing the search. + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Filters based on file attributes to narrow the search results. + max_num_results: + type: integer + description: >- + Maximum number of results to return (1 to 50 inclusive, default 10). + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + Ranking options for fine-tuning the search results. + rewrite_query: + type: boolean + description: >- + Whether to rewrite the natural language query for vector search (default + false) + search_mode: + type: string + description: >- + The search mode to use - "keyword", "vector", or "hybrid" (default "vector") + additionalProperties: false + required: + - query + title: OpenaiSearchVectorStoreRequest + VectorStoreSearchResponse: + type: object + properties: + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: Relevance score for this search result + attributes: + type: object + additionalProperties: + oneOf: + - type: string + - type: number + - type: boolean + description: >- + (Optional) Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: >- + List of content items matching the search query + additionalProperties: false + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + type: object + properties: + object: + type: string + default: vector_store.search_results.page + description: >- + Object type identifier for the search results page + search_query: + type: string + description: >- + The original search query that was executed + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + description: List of search result objects + has_more: + type: boolean + default: false + description: >- + Whether there are more results available beyond this page + next_page: + type: string + description: >- + (Optional) Token for retrieving the next page of results + additionalProperties: false + required: + - object + - search_query + - data + - has_more + title: VectorStoreSearchResponsePage + description: >- + Paginated response from searching a vector store. + Checkpoint: + type: object + properties: + identifier: + type: string + description: Unique identifier for the checkpoint + created_at: + type: string + format: date-time + description: >- + Timestamp when the checkpoint was created + epoch: + type: integer + description: >- + Training epoch when the checkpoint was saved + post_training_job_id: + type: string + description: >- + Identifier of the training job that created this checkpoint + path: + type: string + description: >- + File system path where the checkpoint is stored + training_metrics: + $ref: '#/components/schemas/PostTrainingMetric' + description: >- + (Optional) Training metrics associated with this checkpoint + additionalProperties: false + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + description: Checkpoint created during training runs. + PostTrainingJobArtifactsResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - checkpoints + title: PostTrainingJobArtifactsResponse + description: Artifacts of a finetuning job. + PostTrainingMetric: + type: object + properties: + epoch: + type: integer + description: Training epoch number + train_loss: + type: number + description: Loss value on the training dataset + validation_loss: + type: number + description: Loss value on the validation dataset + perplexity: + type: number + description: >- + Perplexity metric indicating model confidence + additionalProperties: false + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + description: >- + Training metrics captured during post-training jobs. + CancelTrainingJobRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to cancel. + additionalProperties: false + required: + - job_uuid + title: CancelTrainingJobRequest + PostTrainingJobStatusResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current status of the training job + scheduled_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job was scheduled + started_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job execution began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job finished, if completed + resources_allocated: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Information about computational resources allocated to the + job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - status + - checkpoints + title: PostTrainingJobStatusResponse + description: Status of a finetuning job. + ListPostTrainingJobsResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + additionalProperties: false + required: + - data + title: ListPostTrainingJobsResponse + DPOAlignmentConfig: + type: object + properties: + beta: + type: number + description: Temperature parameter for the DPO loss + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + description: The type of loss function to use for DPO + additionalProperties: false + required: + - beta + - loss_type + title: DPOAlignmentConfig + description: >- + Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + type: object + properties: + dataset_id: + type: string + description: >- + Unique identifier for the training dataset + batch_size: + type: integer + description: Number of samples per training batch + shuffle: + type: boolean + description: >- + Whether to shuffle the dataset during training + data_format: + $ref: '#/components/schemas/DatasetFormat' + description: >- + Format of the dataset (instruct or dialog) + validation_dataset_id: + type: string + description: >- + (Optional) Unique identifier for the validation dataset + packed: + type: boolean + default: false + description: >- + (Optional) Whether to pack multiple samples into a single sequence for + efficiency + train_on_input: + type: boolean + default: false + description: >- + (Optional) Whether to compute loss on input tokens as well as output tokens + additionalProperties: false + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: >- + Configuration for training data and data loading. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + EfficiencyConfig: + type: object + properties: + enable_activation_checkpointing: + type: boolean + default: false + description: >- + (Optional) Whether to use activation checkpointing to reduce memory usage + enable_activation_offloading: + type: boolean + default: false + description: >- + (Optional) Whether to offload activations to CPU to save GPU memory + memory_efficient_fsdp_wrap: + type: boolean + default: false + description: >- + (Optional) Whether to use memory-efficient FSDP wrapping + fsdp_cpu_offload: + type: boolean + default: false + description: >- + (Optional) Whether to offload FSDP parameters to CPU + additionalProperties: false + title: EfficiencyConfig + description: >- + Configuration for memory and compute efficiency optimizations. + OptimizerConfig: + type: object + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + description: >- + Type of optimizer to use (adam, adamw, or sgd) + lr: + type: number + description: Learning rate for the optimizer + weight_decay: + type: number + description: >- + Weight decay coefficient for regularization + num_warmup_steps: + type: integer + description: Number of steps for learning rate warmup + additionalProperties: false + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: >- + Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: >- + Available optimizer algorithms for training. + TrainingConfig: + type: object + properties: + n_epochs: + type: integer + description: Number of training epochs to run + max_steps_per_epoch: + type: integer + default: 1 + description: Maximum number of steps to run per epoch + gradient_accumulation_steps: + type: integer + default: 1 + description: >- + Number of steps to accumulate gradients before updating + max_validation_steps: + type: integer + default: 1 + description: >- + (Optional) Maximum number of validation steps per epoch + data_config: + $ref: '#/components/schemas/DataConfig' + description: >- + (Optional) Configuration for data loading and formatting + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' + description: >- + (Optional) Configuration for the optimization algorithm + efficiency_config: + $ref: '#/components/schemas/EfficiencyConfig' + description: >- + (Optional) Configuration for memory and compute optimizations + dtype: + type: string + default: bf16 + description: >- + (Optional) Data type for model parameters (bf16, fp16, fp32) + additionalProperties: false + required: + - n_epochs + - max_steps_per_epoch + - gradient_accumulation_steps + title: TrainingConfig + description: >- + Comprehensive configuration for the training process. + PreferenceOptimizeRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + finetuned_model: + type: string + description: The model to fine-tune. + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + description: The algorithm configuration. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + additionalProperties: false + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: PreferenceOptimizeRequest + PostTrainingJob: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + AlgorithmConfig: + oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + LoraFinetuningConfig: + type: object + properties: + type: + type: string + const: LoRA + default: LoRA + description: Algorithm type identifier, always "LoRA" + lora_attn_modules: + type: array + items: + type: string + description: >- + List of attention module names to apply LoRA to + apply_lora_to_mlp: + type: boolean + description: Whether to apply LoRA to MLP layers + apply_lora_to_output: + type: boolean + description: >- + Whether to apply LoRA to output projection layers + rank: + type: integer + description: >- + Rank of the LoRA adaptation (lower rank = fewer parameters) + alpha: + type: integer + description: >- + LoRA scaling parameter that controls adaptation strength + use_dora: + type: boolean + default: false + description: >- + (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) + quantize_base: + type: boolean + default: false + description: >- + (Optional) Whether to quantize the base model weights + additionalProperties: false + required: + - type + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: >- + Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + QATFinetuningConfig: + type: object + properties: + type: + type: string + const: QAT + default: QAT + description: Algorithm type identifier, always "QAT" + quantizer_name: + type: string + description: >- + Name of the quantization algorithm to use + group_size: + type: integer + description: Size of groups for grouped quantization + additionalProperties: false + required: + - type + - quantizer_name + - group_size + title: QATFinetuningConfig + description: >- + Configuration for Quantization-Aware Training (QAT) fine-tuning. + SupervisedFineTuneRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + model: + type: string + description: The model to fine-tune. + checkpoint_dir: + type: string + description: The directory to save checkpoint(s) to. + algorithm_config: + $ref: '#/components/schemas/AlgorithmConfig' + description: The algorithm configuration. + additionalProperties: false + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: SupervisedFineTuneRequest + responses: + BadRequest400: + description: The request was invalid or malformed + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 400 + title: Bad Request + detail: The request was invalid or malformed + TooManyRequests429: + description: >- + The client has sent too many requests in a given amount of time + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 429 + title: Too Many Requests + detail: >- + You have exceeded the rate limit. Please try again later. + InternalServerError500: + description: >- + The server encountered an unexpected error + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 500 + title: Internal Server Error + detail: >- + An unexpected error occurred. Our team has been notified. + DefaultError: + description: An unexpected error occurred + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 0 + title: Error + detail: An unexpected error occurred +security: + - Default: [] +tags: + - name: Agents + description: > + APIs for creating and interacting with agentic systems. + + + ## Deprecated APIs + + + > **⚠️ DEPRECATED**: These APIs are provided for migration reference and will + be removed in future versions. Not recommended for new projects. + + + ### Migration Guidance + + + If you are using deprecated versions of the Agents or Responses APIs, please + migrate to: + + + - **Responses API**: Use the stable v1 Responses API endpoints + x-displayName: Agents + - name: Benchmarks + description: '' + - name: DatasetIO + description: '' + - name: Datasets + description: '' + - name: Eval + description: >- + Llama Stack Evaluation API for running evaluations on model and agent candidates. + x-displayName: Evaluations + - name: Files + description: >- + This API is used to upload documents that can be used with other Llama Stack + APIs. + x-displayName: Files + - name: Inference + description: >- + Llama Stack Inference API for generating completions, chat completions, and + embeddings. + + + This API provides the raw interface to the underlying models. Two kinds of models + are supported: + + - LLM models: these models generate "raw" and "chat" (conversational) completions. + + - Embedding models: these models generate embeddings to be used for semantic + search. + x-displayName: Inference + - name: Models + description: '' + - name: PostTraining (Coming Soon) + description: '' + - name: Safety + description: OpenAI-compatible Moderations API. + x-displayName: Safety + - name: VectorIO + description: '' +x-tagGroups: + - name: Operations + tags: + - Agents + - Benchmarks + - DatasetIO + - Datasets + - Eval + - Files + - Inference + - Models + - PostTraining (Coming Soon) + - Safety + - VectorIO diff --git a/docs/v0.3.0/docs.html b/docs/v0.3.0/docs.html new file mode 100644 index 00000000..18e4990f --- /dev/null +++ b/docs/v0.3.0/docs.html @@ -0,0 +1,53 @@ + + + + + +Welcome to Llama Stack | Llama Stack + + + + + + + + + + + +

Welcome to Llama Stack

+

Llama Stack is the open-source framework for building generative AI applications.

+
Llama 4 is here!

Check out Getting Started with Llama 4

+
News

Llama Stack is now available! See the release notes for more details.

+

What is Llama Stack?​

+

Llama Stack defines and standardizes the core building blocks needed to bring generative AI applications to market. It provides a unified set of APIs with implementations from leading service providers, enabling seamless transitions between development and production environments. More specifically, it provides:

+
    +
  • Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry.
    • +
  • Plugin architecture to support the rich ecosystem of implementations of the different APIs in different environments like local development, on-premises, cloud, and mobile.
    • +
  • Prepackaged verified distributions which offer a one-stop solution for developers to get started quickly and reliably in any environment
    • +
  • Multiple developer interfaces like CLI and SDKs for Python, Node, iOS, and Android
    • +
  • Standalone applications as examples for how to build production-grade AI applications with Llama Stack
    • +
+Llama Stack +

Our goal is to provide pre-packaged implementations (aka "distributions") which can be run in a variety of deployment environments. LlamaStack can assist you in your entire app development lifecycle - start iterating on local, mobile or desktop and seamlessly transition to on-prem or public cloud deployments. At every point in this transition, the same set of APIs and the same developer experience is available.

+

How does Llama Stack work?​

+

Llama Stack consists of a server (with multiple pluggable API providers) and Client SDKs meant to be used in your applications. The server can be run in a variety of environments, including local (inline) development, on-premises, and cloud. The client SDKs are available for Python, Swift, Node, and Kotlin.

+ + +

Rich Ecosystem Support​

+

Llama Stack provides adapters for popular providers across all API categories:

+
    +
  • Inference: Meta Reference, Ollama, Fireworks, Together, NVIDIA, vLLM, AWS Bedrock, OpenAI, Anthropic, and more
    • +
  • Vector Databases: FAISS, Chroma, Milvus, Postgres, Weaviate, Qdrant, and others
    • +
  • Safety: Llama Guard, Prompt Guard, Code Scanner, AWS Bedrock
    • +
  • Training & Evaluation: HuggingFace, TorchTune, NVIDIA NEMO
    • +
+
Provider Details

For complete provider compatibility and setup instructions, see our Providers Documentation.

+

Get Started Today​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/advanced_apis/evaluation.html b/docs/v0.3.0/docs/advanced_apis/evaluation.html new file mode 100644 index 00000000..9aa5bcba --- /dev/null +++ b/docs/v0.3.0/docs/advanced_apis/evaluation.html @@ -0,0 +1,123 @@ + + + + + +Evaluation | Llama Stack + + + + + + + + + + + +

Evaluation

+

Evaluation Concepts​

+

The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks.

+

We introduce a set of APIs in Llama Stack for supporting running evaluations of LLM applications:

+
    +
  • /datasetio + /datasets API
    • +
  • /scoring + /scoring_functions API
    • +
  • /eval + /benchmarks API
    • +
+

This guide goes over the sets of APIs and developer experience flow of using Llama Stack to run evaluations for different use cases. Checkout our Colab notebook on working examples with evaluations here.

+

The Evaluation APIs are associated with a set of Resources. Please visit the Resources section in our Core Concepts guide for better high-level understanding.

+
    +
  • DatasetIO: defines interface with datasets and data loaders. +
      +
    • Associated with Dataset resource.
      • +
    +
    • +
  • Scoring: evaluate outputs of the system. +
      +
    • Associated with ScoringFunction resource. We provide a suite of out-of-the box scoring functions and also the ability for you to add custom evaluators. These scoring functions are the core part of defining an evaluation task to output evaluation metrics.
      • +
    +
    • +
  • Eval: generate outputs (via Inference or Agents) and perform scoring. +
      +
    • Associated with Benchmark resource.
      • +
    +
    • +
+

Evaluation Providers​

+

Llama Stack provides multiple evaluation providers:

+
    +
  • Meta Reference (inline::meta-reference) - Meta's reference implementation with multi-language support
    • +
  • NVIDIA (remote::nvidia) - NVIDIA's evaluation platform integration
    • +
+

Meta Reference​

+

Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
kvstoreRedisKVStoreConfig | SqliteKVStoreConfig | PostgresKVStoreConfig | MongoDBKVStoreConfigNosqliteKey-value store configuration
+

Sample Configuration​

+
kvstore:
  type: sqlite
  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/meta_reference_eval.db
+

Features​

+
    +
  • Multi-language evaluation support
    • +
  • Comprehensive evaluation metrics
    • +
  • Integration with various key-value stores (SQLite, Redis, PostgreSQL, MongoDB)
    • +
  • Built-in support for popular benchmarks
    • +
+

NVIDIA​

+

NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
evaluator_urlstrNohttp://0.0.0.0:7331The url for accessing the evaluator service
+

Sample Configuration​

+
evaluator_url: ${env.NVIDIA_EVALUATOR_URL:=http://localhost:7331}
+

Features​

+
    +
  • Integration with NVIDIA's evaluation platform
    • +
  • Remote evaluation capabilities
    • +
  • Scalable evaluation processing
    • +
+

Open-benchmark Eval​

+

List of open-benchmarks Llama Stack support​

+

Llama stack pre-registers several popular open-benchmarks to easily evaluate model performance via CLI.

+

The list of open-benchmarks we currently support:

+
    +
  • MMLU-COT (Measuring Massive Multitask Language Understanding): Benchmark designed to comprehensively evaluate the breadth and depth of a model's academic and professional understanding
    • +
  • GPQA-COT (A Graduate-Level Google-Proof Q&A Benchmark): A challenging benchmark of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry.
    • +
  • SimpleQA: Benchmark designed to access models to answer short, fact-seeking questions.
    • +
  • MMMU (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI): Benchmark designed to evaluate multimodal models.
    • +
+

You can follow this contributing guide to add more open-benchmarks to Llama Stack

+

Run evaluation on open-benchmarks via CLI​

+

We have built-in functionality to run the supported open-benchmarks using llama-stack-client CLI

+

Spin up Llama Stack server​

+

Spin up llama stack server with 'open-benchmark' template

+
llama stack run llama_stack/distributions/open-benchmark/run.yaml

+

Run eval CLI​

+

There are 3 necessary inputs to run a benchmark eval

+
    +
  • list of benchmark_ids: The list of benchmark ids to run evaluation on
    • +
  • model-id: The model id to evaluate on
    • +
  • output_dir: Path to store the evaluate results
    • +
+
llama-stack-client eval run-benchmark <benchmark_id_1> <benchmark_id_2> ... \
--model_id <model id to evaluate on> \
--output_dir <directory to store the evaluate results>
+

You can run

+
llama-stack-client eval run-benchmark help
+

to see the description of all the flags that eval run-benchmark has

+

In the output log, you can find the file path that has your evaluation results. Open that file and you can see you aggregate evaluation results over there.

+

Usage Example​

+

Here's a basic example of using the evaluation API:

+
from llama_stack_client import LlamaStackClient

client = LlamaStackClient(base_url="http://localhost:8321")

# Register a dataset for evaluation
client.datasets.register(
    purpose="evaluation",
    source={
        "type": "uri",
        "uri": "huggingface://datasets/llamastack/evaluation_dataset"
    },
    dataset_id="my_eval_dataset"
)

# Run evaluation
eval_result = client.eval.run_evaluation(
    dataset_id="my_eval_dataset",
    scoring_functions=["accuracy", "bleu"],
    model_id="my_model"
)

print(f"Evaluation completed: {eval_result}")
+

Best Practices​

+
    +
  • Choose appropriate providers: Use Meta Reference for comprehensive evaluation, NVIDIA for platform-specific needs
    • +
  • Configure storage properly: Ensure your key-value store configuration matches your performance requirements
    • +
  • Monitor evaluation progress: Large evaluations can take time - implement proper monitoring
    • +
  • Use appropriate scoring functions: Select scoring metrics that align with your evaluation goals
    • +
+

What's Next?​

+
    +
  • Check out our Colab notebook on working examples with running benchmark evaluations here.
    • +
  • Check out our Building Applications - Evaluation guide for more details on how to use the Evaluation APIs to evaluate your applications.
    • +
  • Check out our Evaluation Reference for more details on the APIs.
    • +
  • Explore the Scoring documentation for available scoring functions.
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/advanced_apis/post_training.html b/docs/v0.3.0/docs/advanced_apis/post_training.html new file mode 100644 index 00000000..c80e6f45 --- /dev/null +++ b/docs/v0.3.0/docs/advanced_apis/post_training.html @@ -0,0 +1,83 @@ + + + + + +Post-Training | Llama Stack + + + + + + + + + + + +

Post-Training

+

Post-training in Llama Stack allows you to fine-tune models using various providers and frameworks. This section covers all available post-training providers and how to use them effectively.

+

Overview​

+

Llama Stack provides multiple post-training providers:

+
    +
  • HuggingFace SFTTrainer (inline::huggingface) - Fine-tuning using HuggingFace ecosystem
    • +
  • TorchTune (inline::torchtune) - Fine-tuning using Meta's TorchTune framework
    • +
  • NVIDIA (remote::nvidia) - Fine-tuning using NVIDIA's platform
    • +
+

HuggingFace SFTTrainer​

+

HuggingFace SFTTrainer is an inline post training provider for Llama Stack. It allows you to run supervised fine tuning on a variety of models using many datasets.

+

Features​

+
    +
  • Simple access through the post_training API
    • +
  • Fully integrated with Llama Stack
    • +
  • GPU support, CPU support, and MPS support (MacOS Metal Performance Shaders)
    • +
+

Configuration​

+
FieldTypeRequiredDefaultDescription
devicestrNocuda
distributed_backendLiteral['fsdp', 'deepspeed']No
checkpoint_formatLiteral['full_state', 'huggingface']Nohuggingface
chat_templatestrNo
model_specific_configdictNo{'trust_remote_code': True, 'attn_implementation': 'sdpa'}
max_seq_lengthintNo2048
gradient_checkpointingboolNoFalse
save_total_limitintNo3
logging_stepsintNo10
warmup_ratiofloatNo0.1
weight_decayfloatNo0.01
dataloader_num_workersintNo4
dataloader_pin_memoryboolNoTrue
+

Sample Configuration​

+
checkpoint_format: huggingface
distributed_backend: null
device: cpu
+

Setup​

+

You can access the HuggingFace trainer via the starter distribution:

+
llama stack list-deps starter | xargs -L1 uv pip install
llama stack run starter
+

Usage Example​

+
import time
import uuid

from llama_stack_client.types import (
    post_training_supervised_fine_tune_params,
    algorithm_config_param,
)

def create_http_client():
    from llama_stack_client import LlamaStackClient
    return LlamaStackClient(base_url="http://localhost:8321")

client = create_http_client()

# Example Dataset
client.datasets.register(
    purpose="post-training/messages",
    source={
        "type": "uri",
        "uri": "huggingface://datasets/llamastack/simpleqa?split=train",
    },
    dataset_id="simpleqa",
)

training_config = post_training_supervised_fine_tune_params.TrainingConfig(
    data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig(
        batch_size=32,
        data_format="instruct",
        dataset_id="simpleqa",
        shuffle=True,
    ),
    gradient_accumulation_steps=1,
    max_steps_per_epoch=0,
    max_validation_steps=1,
    n_epochs=4,
)

algorithm_config = algorithm_config_param.LoraFinetuningConfig(
    alpha=1,
    apply_lora_to_mlp=True,
    apply_lora_to_output=False,
    lora_attn_modules=["q_proj"],
    rank=1,
    type="LoRA",
)

job_uuid = f"test-job{uuid.uuid4()}"

# Example Model
training_model = "ibm-granite/granite-3.3-8b-instruct"

start_time = time.time()
response = client.post_training.supervised_fine_tune(
    job_uuid=job_uuid,
    logger_config={},
    model=training_model,
    hyperparam_search_config={},
    training_config=training_config,
    algorithm_config=algorithm_config,
    checkpoint_dir="output",
)
print("Job: ", job_uuid)

# Wait for the job to complete!
while True:
    status = client.post_training.job.status(job_uuid=job_uuid)
    if not status:
        print("Job not found")
        break

    print(status)
    if status.status == "completed":
        break

    print("Waiting for job to complete...")
    time.sleep(5)

end_time = time.time()
print("Job completed in", end_time - start_time, "seconds!")

print("Artifacts:")
print(client.post_training.job.artifacts(job_uuid=job_uuid))
+

TorchTune​

+

TorchTune is an inline post training provider for Llama Stack. It provides a simple and efficient way to fine-tune language models using PyTorch.

+

Features​

+
    +
  • Simple access through the post_training API
    • +
  • Fully integrated with Llama Stack
    • +
  • GPU support and single device capabilities
    • +
  • Support for LoRA
    • +
+

Configuration​

+
FieldTypeRequiredDefaultDescription
torch_seedint | NoneNo
checkpoint_formatLiteral['meta', 'huggingface']Nometa
+

Sample Configuration​

+
checkpoint_format: meta
+

Setup​

+

You can access the TorchTune trainer by writing your own yaml pointing to the provider:

+
post_training:
  - provider_id: torchtune
    provider_type: inline::torchtune
    config: {}
+

You can then build and run your own stack with this provider.

+

Usage Example​

+
import time
import uuid

from llama_stack_client.types import (
    post_training_supervised_fine_tune_params,
    algorithm_config_param,
)

def create_http_client():
    from llama_stack_client import LlamaStackClient
    return LlamaStackClient(base_url="http://localhost:8321")

client = create_http_client()

# Example Dataset
client.datasets.register(
    purpose="post-training/messages",
    source={
        "type": "uri",
        "uri": "huggingface://datasets/llamastack/simpleqa?split=train",
    },
    dataset_id="simpleqa",
)

training_config = post_training_supervised_fine_tune_params.TrainingConfig(
    data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig(
        batch_size=32,
        data_format="instruct",
        dataset_id="simpleqa",
        shuffle=True,
    ),
    gradient_accumulation_steps=1,
    max_steps_per_epoch=0,
    max_validation_steps=1,
    n_epochs=4,
)

algorithm_config = algorithm_config_param.LoraFinetuningConfig(
    alpha=1,
    apply_lora_to_mlp=True,
    apply_lora_to_output=False,
    lora_attn_modules=["q_proj"],
    rank=1,
    type="LoRA",
)

job_uuid = f"test-job{uuid.uuid4()}"

# Example Model
training_model = "meta-llama/Llama-2-7b-hf"

start_time = time.time()
response = client.post_training.supervised_fine_tune(
    job_uuid=job_uuid,
    logger_config={},
    model=training_model,
    hyperparam_search_config={},
    training_config=training_config,
    algorithm_config=algorithm_config,
    checkpoint_dir="output",
)
print("Job: ", job_uuid)

# Wait for the job to complete!
while True:
    status = client.post_training.job.status(job_uuid=job_uuid)
    if not status:
        print("Job not found")
        break

    print(status)
    if status.status == "completed":
        break

    print("Waiting for job to complete...")
    time.sleep(5)

end_time = time.time()
print("Job completed in", end_time - start_time, "seconds!")

print("Artifacts:")
print(client.post_training.job.artifacts(job_uuid=job_uuid))
+

NVIDIA​

+

NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe NVIDIA API key.
dataset_namespacestr | NoneNodefaultThe NVIDIA dataset namespace.
project_idstr | NoneNotest-example-model@v1The NVIDIA project ID.
customizer_urlstr | NoneNoBase URL for the NeMo Customizer API
timeoutintNo300Timeout for the NVIDIA Post Training API
max_retriesintNo3Maximum number of retries for the NVIDIA Post Training API
output_model_dirstrNotest-example-model@v1Directory to save the output model
+

Sample Configuration​

+
api_key: ${env.NVIDIA_API_KEY:=}
dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default}
project_id: ${env.NVIDIA_PROJECT_ID:=test-project}
customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:=http://nemo.test}
+

Best Practices​

+
    +
  • Choose the right provider: Use HuggingFace for broader compatibility, TorchTune for Meta models, or NVIDIA for their ecosystem
    • +
  • Configure hardware appropriately: Ensure your configuration matches your available hardware (CPU, GPU, MPS)
    • +
  • Monitor jobs: Always monitor job status and handle completion appropriately
    • +
  • Use appropriate datasets: Ensure your dataset format matches the expected input format for your chosen provider
    • +
+

Next Steps​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/advanced_apis/scoring.html b/docs/v0.3.0/docs/advanced_apis/scoring.html new file mode 100644 index 00000000..a6dc219b --- /dev/null +++ b/docs/v0.3.0/docs/advanced_apis/scoring.html @@ -0,0 +1,120 @@ + + + + + +Scoring | Llama Stack + + + + + + + + + + + +

Scoring

+

The Scoring API in Llama Stack allows you to evaluate outputs of your GenAI system using various scoring functions and metrics. This section covers all available scoring providers and their configuration.

+

Overview​

+

Llama Stack provides multiple scoring providers:

+
    +
  • Basic (inline::basic) - Simple evaluation metrics and scoring functions
    • +
  • Braintrust (inline::braintrust) - Advanced evaluation using the Braintrust platform
    • +
  • LLM-as-Judge (inline::llm-as-judge) - Uses language models to evaluate responses
    • +
+

The Scoring API is associated with ScoringFunction resources and provides a suite of out-of-the-box scoring functions. You can also add custom evaluators to meet specific evaluation needs.

+

Basic Scoring​

+

Basic scoring provider for simple evaluation metrics and scoring functions. This provider offers fundamental scoring capabilities without external dependencies.

+

Configuration​

+

No configuration required - this provider works out of the box.

+
{}
+

Features​

+
    +
  • Simple evaluation metrics (accuracy, precision, recall, F1-score)
    • +
  • String matching and similarity metrics
    • +
  • Basic statistical scoring functions
    • +
  • No external dependencies required
    • +
  • Fast execution for standard metrics
    • +
+

Use Cases​

+
    +
  • Quick evaluation of basic accuracy metrics
    • +
  • String similarity comparisons
    • +
  • Statistical analysis of model outputs
    • +
  • Development and testing scenarios
    • +
+

Braintrust​

+

Braintrust scoring provider for evaluation and scoring using the Braintrust platform. Braintrust provides advanced evaluation capabilities and experiment tracking.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
openai_api_keystr | NoneNoThe OpenAI API Key for LLM-powered evaluations
+

Sample Configuration​

+
openai_api_key: ${env.OPENAI_API_KEY:=}
+

Features​

+
    +
  • Advanced evaluation metrics
    • +
  • Experiment tracking and comparison
    • +
  • LLM-powered evaluation functions
    • +
  • Integration with Braintrust's evaluation suite
    • +
  • Detailed scoring analytics and insights
    • +
+

Use Cases​

+
    +
  • Production evaluation pipelines
    • +
  • A/B testing of model versions
    • +
  • Advanced scoring with custom metrics
    • +
  • Detailed evaluation reporting and analysis
    • +
+

LLM-as-Judge​

+

LLM-as-judge scoring provider that uses language models to evaluate and score responses. This approach leverages the reasoning capabilities of large language models to assess quality, relevance, and other subjective metrics.

+

Configuration​

+

No configuration required - this provider works out of the box.

+
{}
+

Features​

+
    +
  • Subjective quality evaluation using LLMs
    • +
  • Flexible evaluation criteria definition
    • +
  • Natural language evaluation explanations
    • +
  • Support for complex evaluation scenarios
    • +
  • Contextual understanding of responses
    • +
+

Use Cases​

+
    +
  • Evaluating response quality and relevance
    • +
  • Assessing creativity and coherence
    • +
  • Subjective metric evaluation
    • +
  • Human-like judgment for complex tasks
    • +
+

Usage Examples​

+

Basic Scoring Example​

+
from llama_stack_client import LlamaStackClient

client = LlamaStackClient(base_url="http://localhost:8321")

# Register a basic accuracy scoring function
client.scoring_functions.register(
    scoring_function_id="basic_accuracy",
    provider_id="basic",
    provider_scoring_function_id="accuracy"
)

# Use the scoring function
result = client.scoring.score(
    input_rows=[
        {"expected": "Paris", "actual": "Paris"},
        {"expected": "London", "actual": "Paris"}
    ],
    scoring_function_id="basic_accuracy"
)
print(f"Accuracy: {result.results[0].score}")
+

LLM-as-Judge Example​

+
# Register an LLM-as-judge scoring function
client.scoring_functions.register(
    scoring_function_id="quality_judge",
    provider_id="llm_judge",
    provider_scoring_function_id="response_quality",
    params={
        "criteria": "Evaluate response quality, relevance, and helpfulness",
        "scale": "1-10"
    }
)

# Score responses using LLM judgment
result = client.scoring.score(
    input_rows=[{
        "query": "What is machine learning?",
        "response": "Machine learning is a subset of AI that enables computers to learn patterns from data..."
    }],
    scoring_function_id="quality_judge"
)
+

Braintrust Integration Example​

+
# Register a Braintrust scoring function
client.scoring_functions.register(
    scoring_function_id="braintrust_eval",
    provider_id="braintrust",
    provider_scoring_function_id="semantic_similarity"
)

# Run evaluation with Braintrust
result = client.scoring.score(
    input_rows=[{
        "reference": "The capital of France is Paris",
        "candidate": "Paris is the capital city of France"
    }],
    scoring_function_id="braintrust_eval"
)
+

Best Practices​

+
    +
  • Choose appropriate providers: Use Basic for simple metrics, Braintrust for advanced analytics, LLM-as-Judge for subjective evaluation
    • +
  • Define clear criteria: When using LLM-as-Judge, provide specific evaluation criteria and scales
    • +
  • Validate scoring functions: Test your scoring functions with known examples before production use
    • +
  • Monitor performance: Track scoring performance and adjust thresholds based on results
    • +
  • Combine multiple metrics: Use different scoring providers together for comprehensive evaluation
    • +
+

Integration with Evaluation​

+

The Scoring API works closely with the Evaluation API to provide comprehensive evaluation workflows:

+
    +
  1. Datasets are loaded via the DatasetIO API
    2. +
  2. Evaluation generates model outputs using the Eval API
    3. +
  3. Scoring evaluates the quality of outputs using various scoring functions
    4. +
  4. Results are aggregated and reported for analysis
    5. +
+

Next Steps​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/agents.html b/docs/v0.3.0/docs/api-deprecated/agents.html new file mode 100644 index 00000000..3a80d983 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/agents.html @@ -0,0 +1,31 @@ + + + + + +Agents | Llama Stack + + + + + + + + + + + +

Agents

APIs for creating and interacting with agentic systems.

+

Deprecated APIs​

+
+

⚠️ DEPRECATED: These APIs are provided for migration reference and will be removed in future versions. Not recommended for new projects.

+
+

Migration Guidance​

+

If you are using deprecated versions of the Agents or Responses APIs, please migrate to:

+
    +
  • Responses API: Use the stable v1 Responses API endpoints
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset.html b/docs/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset.html new file mode 100644 index 00000000..b528db09 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset.html @@ -0,0 +1,27 @@ + + + + + +Append rows to a dataset. | Llama Stack + + + + + + + + + + + +

Append rows to a dataset.

+
POST 
/v1/datasetio/append-rows/:dataset_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Append rows to a dataset.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store.html new file mode 100644 index 00000000..862c7894 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Attach a file to a vector store. | Llama Stack + + + + + + + + + + + +

Attach a file to a vector store.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id/files
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Attach a file to a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the attached file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/benchmarks.html b/docs/v0.3.0/docs/api-deprecated/benchmarks.html new file mode 100644 index 00000000..0e0ec4ad --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/benchmarks.html @@ -0,0 +1,20 @@ + + + + + +Benchmarks | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/cancel-a-job.html b/docs/v0.3.0/docs/api-deprecated/cancel-a-job.html new file mode 100644 index 00000000..78861f37 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/cancel-a-job.html @@ -0,0 +1,27 @@ + + + + + +Cancel a job. | Llama Stack + + + + + + + + + + + +

Cancel a job.

+
DELETE 
/v1/eval/benchmarks/:benchmark_id/jobs/:job_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Cancel a job.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/cancel-a-training-job.html b/docs/v0.3.0/docs/api-deprecated/cancel-a-training-job.html new file mode 100644 index 00000000..f5d419d1 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/cancel-a-training-job.html @@ -0,0 +1,27 @@ + + + + + +Cancel a training job. | Llama Stack + + + + + + + + + + + +

Cancel a training job.

+
POST 
/v1/post-training/job/cancel
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Cancel a training job.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch.html new file mode 100644 index 00000000..a74e0316 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch.html @@ -0,0 +1,27 @@ + + + + + +Cancels a vector store file batch. | Llama Stack + + + + + + + + + + + +

Cancels a vector store file batch.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id/cancel
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Cancels a vector store file batch.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the cancelled file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-a-model-response.html b/docs/v0.3.0/docs/api-deprecated/create-a-model-response.html new file mode 100644 index 00000000..3aa88e15 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-a-model-response.html @@ -0,0 +1,27 @@ + + + + + +Create a model response. | Llama Stack + + + + + + + + + + + +

Create a model response.

+
POST 
/v1/openai/v1/responses
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create a model response.

+

Request​

+
+
+

Responses​

An OpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent.html b/docs/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent.html new file mode 100644 index 00000000..dff156a3 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent.html @@ -0,0 +1,27 @@ + + + + + +Create a new session for an agent. | Llama Stack + + + + + + + + + + + +

Create a new session for an agent.

+
POST 
/v1/agents/:agent_id/session
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create a new session for an agent.

+

Request​

+
+
+

Responses​

An AgentSessionCreateResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent.html b/docs/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent.html new file mode 100644 index 00000000..99113f01 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent.html @@ -0,0 +1,27 @@ + + + + + +Create a new turn for an agent. | Llama Stack + + + + + + + + + + + +

Create a new turn for an agent.

+
POST 
/v1/agents/:agent_id/session/:session_id/turn
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create a new turn for an agent.

+

Request​

+
+
+

Responses​

If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch.html new file mode 100644 index 00000000..23f988e8 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch.html @@ -0,0 +1,28 @@ + + + + + +Create a vector store file batch. | Llama Stack + + + + + + + + + + + +

Create a vector store file batch.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id/file_batches
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create a vector store file batch. +Generate an OpenAI-compatible vector store file batch for the given vector store.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the created file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration.html b/docs/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration.html new file mode 100644 index 00000000..685679b8 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration.html @@ -0,0 +1,27 @@ + + + + + +Create an agent with the given configuration. | Llama Stack + + + + + + + + + + + +

Create an agent with the given configuration.

+
POST 
/v1/agents
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create an agent with the given configuration.

+

Request​

+
+
+

Responses​

An AgentCreateResponse with the agent ID.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-chat-completions.html b/docs/v0.3.0/docs/api-deprecated/create-chat-completions.html new file mode 100644 index 00000000..c7c08151 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-chat-completions.html @@ -0,0 +1,28 @@ + + + + + +Create chat completions. | Llama Stack + + + + + + + + + + + +

Create chat completions.

+
POST 
/v1/openai/v1/chat/completions
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create chat completions. +Generate an OpenAI-compatible chat completion for the given messages using the specified model.

+

Request​

+
+
+

Responses​

An OpenAIChatCompletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-completion.html b/docs/v0.3.0/docs/api-deprecated/create-completion.html new file mode 100644 index 00000000..4253fcfb --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-completion.html @@ -0,0 +1,28 @@ + + + + + +Create completion. | Llama Stack + + + + + + + + + + + +

Create completion.

+
POST 
/v1/openai/v1/completions
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create completion. +Generate an OpenAI-compatible completion for the given prompt using the specified model.

+

Request​

+
+
+

Responses​

An OpenAICompletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-embeddings.html b/docs/v0.3.0/docs/api-deprecated/create-embeddings.html new file mode 100644 index 00000000..d0b92215 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-embeddings.html @@ -0,0 +1,28 @@ + + + + + +Create embeddings. | Llama Stack + + + + + + + + + + + +

Create embeddings.

+
POST 
/v1/openai/v1/embeddings
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create embeddings. +Generate OpenAI-compatible embeddings for the given input using the specified model.

+

Request​

+
+
+

Responses​

An OpenAIEmbeddingsResponse containing the embeddings.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/create-moderation.html b/docs/v0.3.0/docs/api-deprecated/create-moderation.html new file mode 100644 index 00000000..71894c11 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/create-moderation.html @@ -0,0 +1,28 @@ + + + + + +Create moderation. | Llama Stack + + + + + + + + + + + +

Create moderation.

+
POST 
/v1/openai/v1/moderations
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Create moderation. +Classifies if text and/or image inputs are potentially harmful.

+

Request​

+
+
+

Responses​

A moderation object.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/creates-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/creates-a-vector-store.html new file mode 100644 index 00000000..ac9b160f --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/creates-a-vector-store.html @@ -0,0 +1,28 @@ + + + + + +Creates a vector store. | Llama Stack + + + + + + + + + + + +

Creates a vector store.

+
POST 
/v1/openai/v1/vector_stores
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Creates a vector store. +Generate an OpenAI-compatible vector store with the given parameters.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the created vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/dataset-io.html b/docs/v0.3.0/docs/api-deprecated/dataset-io.html new file mode 100644 index 00000000..3ae19495 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/dataset-io.html @@ -0,0 +1,20 @@ + + + + + +DatasetIO | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/datasets.html b/docs/v0.3.0/docs/api-deprecated/datasets.html new file mode 100644 index 00000000..02d35817 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/datasets.html @@ -0,0 +1,20 @@ + + + + + +Datasets | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-a-response.html b/docs/v0.3.0/docs/api-deprecated/delete-a-response.html new file mode 100644 index 00000000..b539e7f0 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-a-response.html @@ -0,0 +1,27 @@ + + + + + +Delete a response. | Llama Stack + + + + + + + + + + + +

Delete a response.

+
DELETE 
/v1/openai/v1/responses/:response_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete a response.

+

Request​

+
+
+

Responses​

An OpenAIDeleteResponseObject

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store-file.html b/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store-file.html new file mode 100644 index 00000000..538ac4f1 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store-file.html @@ -0,0 +1,27 @@ + + + + + +Delete a vector store file. | Llama Stack + + + + + + + + + + + +

Delete a vector store file.

+
DELETE 
/v1/openai/v1/vector_stores/:vector_store_id/files/:file_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileDeleteResponse indicating the deletion status.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store.html new file mode 100644 index 00000000..08065c44 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Delete a vector store. | Llama Stack + + + + + + + + + + + +

Delete a vector store.

+
DELETE 
/v1/openai/v1/vector_stores/:vector_store_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreDeleteResponse indicating the deletion status.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html b/docs/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html new file mode 100644 index 00000000..092de91b --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html @@ -0,0 +1,27 @@ + + + + + +Delete an agent by its ID and its associated sessions and turns. | Llama Stack + + + + + + + + + + + +

Delete an agent by its ID and its associated sessions and turns.

+
DELETE 
/v1/agents/:agent_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete an agent by its ID and its associated sessions and turns.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns.html b/docs/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns.html new file mode 100644 index 00000000..a5240eb9 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns.html @@ -0,0 +1,27 @@ + + + + + +Delete an agent session by its ID and its associated turns. | Llama Stack + + + + + + + + + + + +

Delete an agent session by its ID and its associated turns.

+
DELETE 
/v1/agents/:agent_id/session/:session_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete an agent session by its ID and its associated turns.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/delete-file.html b/docs/v0.3.0/docs/api-deprecated/delete-file.html new file mode 100644 index 00000000..d09a437e --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/delete-file.html @@ -0,0 +1,27 @@ + + + + + +Delete file. | Llama Stack + + + + + + + + + + + +

Delete file.

+
DELETE 
/v1/openai/v1/files/:file_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Delete file.

+

Request​

+
+
+

Responses​

An OpenAIFileDeleteResponse indicating successful deletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id.html new file mode 100644 index 00000000..ffd1986f --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Describe an agent by its ID. | Llama Stack + + + + + + + + + + + +

Describe an agent by its ID.

+
GET 
/v1/agents/:agent_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Describe an agent by its ID.

+

Request​

+
+
+

Responses​

An Agent of the agent.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/eval.html b/docs/v0.3.0/docs/api-deprecated/eval.html new file mode 100644 index 00000000..d8e58b78 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/eval.html @@ -0,0 +1,22 @@ + + + + + +Evaluations | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark.html b/docs/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark.html new file mode 100644 index 00000000..70697e9f --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark.html @@ -0,0 +1,27 @@ + + + + + +Evaluate a list of rows on a benchmark. | Llama Stack + + + + + + + + + + + +

Evaluate a list of rows on a benchmark.

+
POST 
/v1/eval/benchmarks/:benchmark_id/evaluations
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Evaluate a list of rows on a benchmark.

+

Request​

+
+
+

Responses​

EvaluateResponse object containing generations and scores.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/files.html b/docs/v0.3.0/docs/api-deprecated/files.html new file mode 100644 index 00000000..f296509c --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/files.html @@ -0,0 +1,22 @@ + + + + + +Files | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id.html new file mode 100644 index 00000000..5f21c599 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Get a benchmark by its ID. | Llama Stack + + + + + + + + + + + +

Get a benchmark by its ID.

+
GET 
/v1/eval/benchmarks/:benchmark_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get a benchmark by its ID.

+

Request​

+
+
+

Responses​

A Benchmark.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id.html new file mode 100644 index 00000000..7727f2ea --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Get a dataset by its ID. | Llama Stack + + + + + + + + + + + +

Get a dataset by its ID.

+
GET 
/v1/datasets/:dataset_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get a dataset by its ID.

+

Request​

+
+
+

Responses​

A Dataset.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-a-model-response.html b/docs/v0.3.0/docs/api-deprecated/get-a-model-response.html new file mode 100644 index 00000000..612b823c --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-a-model-response.html @@ -0,0 +1,27 @@ + + + + + +Get a model response. | Llama Stack + + + + + + + + + + + +

Get a model response.

+
GET 
/v1/openai/v1/responses/:response_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get a model response.

+

Request​

+
+
+

Responses​

An OpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset.html b/docs/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset.html new file mode 100644 index 00000000..868dc63a --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset.html @@ -0,0 +1,37 @@ + + + + + +Get a paginated list of rows from a dataset. | Llama Stack + + + + + + + + + + + +

Get a paginated list of rows from a dataset.

+
GET 
/v1/datasetio/iterrows/:dataset_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get a paginated list of rows from a dataset. +Uses offset-based pagination where:

+
    +
  • start_index: The starting index (0-based). If None, starts from beginning.
    • +
  • limit: Number of items to return. If None or -1, returns all items.
    • +
+

The response includes:

+
    +
  • data: List of items for the current page.
    • +
  • has_more: Whether there are more items available after this set.
    • +
+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-all-training-jobs.html b/docs/v0.3.0/docs/api-deprecated/get-all-training-jobs.html new file mode 100644 index 00000000..8f317430 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-all-training-jobs.html @@ -0,0 +1,27 @@ + + + + + +Get all training jobs. | Llama Stack + + + + + + + + + + + +

Get all training jobs.

+
GET 
/v1/post-training/jobs
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get all training jobs.

+

Request​

+
+
+

Responses​

A ListPostTrainingJobsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-chat-completion.html b/docs/v0.3.0/docs/api-deprecated/get-chat-completion.html new file mode 100644 index 00000000..9a74bd90 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-chat-completion.html @@ -0,0 +1,28 @@ + + + + + +Get chat completion. | Llama Stack + + + + + + + + + + + +

Get chat completion.

+
GET 
/v1/openai/v1/chat/completions/:completion_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get chat completion. +Describe a chat completion by its ID.

+

Request​

+
+
+

Responses​

A OpenAICompletionWithInputMessages.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job.html b/docs/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job.html new file mode 100644 index 00000000..129d1dbb --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job.html @@ -0,0 +1,27 @@ + + + + + +Get the artifacts of a training job. | Llama Stack + + + + + + + + + + + +

Get the artifacts of a training job.

+
GET 
/v1/post-training/job/artifacts
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get the artifacts of a training job.

+

Request​

+
+
+

Responses​

A PostTrainingJobArtifactsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-the-result-of-a-job.html b/docs/v0.3.0/docs/api-deprecated/get-the-result-of-a-job.html new file mode 100644 index 00000000..bb8d8f4a --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-the-result-of-a-job.html @@ -0,0 +1,27 @@ + + + + + +Get the result of a job. | Llama Stack + + + + + + + + + + + +

Get the result of a job.

+
GET 
/v1/eval/benchmarks/:benchmark_id/jobs/:job_id/result
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get the result of a job.

+

Request​

+
+
+

Responses​

The result of the job.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-job.html b/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-job.html new file mode 100644 index 00000000..dc8946ed --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-job.html @@ -0,0 +1,27 @@ + + + + + +Get the status of a job. | Llama Stack + + + + + + + + + + + +

Get the status of a job.

+
GET 
/v1/eval/benchmarks/:benchmark_id/jobs/:job_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get the status of a job.

+

Request​

+
+
+

Responses​

The status of the evaluation job.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job.html b/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job.html new file mode 100644 index 00000000..9c9e2305 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job.html @@ -0,0 +1,27 @@ + + + + + +Get the status of a training job. | Llama Stack + + + + + + + + + + + +

Get the status of a training job.

+
GET 
/v1/post-training/job/status
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Get the status of a training job.

+

Request​

+
+
+

Responses​

A PostTrainingJobStatusResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/inference.html b/docs/v0.3.0/docs/api-deprecated/inference.html new file mode 100644 index 00000000..472ff90a --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/inference.html @@ -0,0 +1,27 @@ + + + + + +Inference | Llama Stack + + + + + + + + + + + +

Inference

Llama Stack Inference API for generating completions, chat completions, and embeddings.

+

This API provides the raw interface to the underlying models. Two kinds of models are supported:

+
    +
  • LLM models: these models generate "raw" and "chat" (conversational) completions.
    • +
  • Embedding models: these models generate embeddings to be used for semantic search.
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-all-agents.html b/docs/v0.3.0/docs/api-deprecated/list-all-agents.html new file mode 100644 index 00000000..142ec800 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-all-agents.html @@ -0,0 +1,27 @@ + + + + + +List all agents. | Llama Stack + + + + + + + + + + + +

List all agents.

+
GET 
/v1/agents
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List all agents.

+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-all-benchmarks.html b/docs/v0.3.0/docs/api-deprecated/list-all-benchmarks.html new file mode 100644 index 00000000..1f462386 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-all-benchmarks.html @@ -0,0 +1,27 @@ + + + + + +List all benchmarks. | Llama Stack + + + + + + + + + + + +

List all benchmarks.

+
GET 
/v1/eval/benchmarks
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List all benchmarks.

+

Request​

+
+
+

Responses​

A ListBenchmarksResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-all-datasets.html b/docs/v0.3.0/docs/api-deprecated/list-all-datasets.html new file mode 100644 index 00000000..68324bd8 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-all-datasets.html @@ -0,0 +1,27 @@ + + + + + +List all datasets. | Llama Stack + + + + + + + + + + + +

List all datasets.

+
GET 
/v1/datasets
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List all datasets.

+

Request​

+
+
+

Responses​

A ListDatasetsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-all-responses.html b/docs/v0.3.0/docs/api-deprecated/list-all-responses.html new file mode 100644 index 00000000..cf8d9fd6 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-all-responses.html @@ -0,0 +1,27 @@ + + + + + +List all responses. | Llama Stack + + + + + + + + + + + +

List all responses.

+
GET 
/v1/openai/v1/responses
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List all responses.

+

Request​

+
+
+

Responses​

A ListOpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent.html b/docs/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent.html new file mode 100644 index 00000000..aa36bcb6 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent.html @@ -0,0 +1,27 @@ + + + + + +List all session(s) of a given agent. | Llama Stack + + + + + + + + + + + +

List all session(s) of a given agent.

+
GET 
/v1/agents/:agent_id/sessions
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List all session(s) of a given agent.

+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-chat-completions.html b/docs/v0.3.0/docs/api-deprecated/list-chat-completions.html new file mode 100644 index 00000000..2e736cf0 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-chat-completions.html @@ -0,0 +1,27 @@ + + + + + +List chat completions. | Llama Stack + + + + + + + + + + + +

List chat completions.

+
GET 
/v1/openai/v1/chat/completions
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List chat completions.

+

Request​

+
+
+

Responses​

A ListOpenAIChatCompletionResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store.html new file mode 100644 index 00000000..af42ac79 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +List files in a vector store. | Llama Stack + + + + + + + + + + + +

List files in a vector store.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id/files
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List files in a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreListFilesResponse containing the list of files.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-files.html b/docs/v0.3.0/docs/api-deprecated/list-files.html new file mode 100644 index 00000000..bb4422a7 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-files.html @@ -0,0 +1,28 @@ + + + + + +List files. | Llama Stack + + + + + + + + + + + +

List files.

+
GET 
/v1/openai/v1/files
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List files. +Returns a list of files that belong to the user's organization.

+

Request​

+
+
+

Responses​

An ListOpenAIFileResponse containing the list of files.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-input-items.html b/docs/v0.3.0/docs/api-deprecated/list-input-items.html new file mode 100644 index 00000000..b02d7281 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-input-items.html @@ -0,0 +1,27 @@ + + + + + +List input items. | Llama Stack + + + + + + + + + + + +

List input items.

+
GET 
/v1/openai/v1/responses/:response_id/input_items
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List input items.

+

Request​

+
+
+

Responses​

An ListOpenAIResponseInputItem.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api.html b/docs/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api.html new file mode 100644 index 00000000..43c32b9c --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api.html @@ -0,0 +1,27 @@ + + + + + +List models using the OpenAI API. | Llama Stack + + + + + + + + + + + +

List models using the OpenAI API.

+
GET 
/v1/openai/v1/models
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

List models using the OpenAI API.

+

Request​

+
+
+

Responses​

A OpenAIListModelsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/llama-stack-specification-deprecated-apis.html b/docs/v0.3.0/docs/api-deprecated/llama-stack-specification-deprecated-apis.html new file mode 100644 index 00000000..0182c491 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/llama-stack-specification-deprecated-apis.html @@ -0,0 +1,27 @@ + + + + + +Llama Stack Specification - Deprecated APIs | Llama Stack + + + + + + + + + + + +
Version: v1 +
+

Llama Stack Specification - Deprecated APIs

+

This is the specification of the Llama Stack that provides +a set of endpoints and their corresponding interfaces that are +tailored to +best leverage Llama Models.

+

⚠️ DEPRECATED: Legacy APIs that may be removed in future versions. Use for migration reference only.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/models.html b/docs/v0.3.0/docs/api-deprecated/models.html new file mode 100644 index 00000000..3e8db576 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/models.html @@ -0,0 +1,20 @@ + + + + + +Models | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/post-training-coming-soon.html b/docs/v0.3.0/docs/api-deprecated/post-training-coming-soon.html new file mode 100644 index 00000000..3e4d0edb --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/post-training-coming-soon.html @@ -0,0 +1,20 @@ + + + + + +PostTraining (Coming Soon) | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/register-a-benchmark.html b/docs/v0.3.0/docs/api-deprecated/register-a-benchmark.html new file mode 100644 index 00000000..1caf6b27 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/register-a-benchmark.html @@ -0,0 +1,27 @@ + + + + + +Register a benchmark. | Llama Stack + + + + + + + + + + + +

Register a benchmark.

+
POST 
/v1/eval/benchmarks
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Register a benchmark.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/register-a-new-dataset.html b/docs/v0.3.0/docs/api-deprecated/register-a-new-dataset.html new file mode 100644 index 00000000..b3c69a92 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/register-a-new-dataset.html @@ -0,0 +1,27 @@ + + + + + +Register a new dataset. | Llama Stack + + + + + + + + + + + +

Register a new dataset.

+
POST 
/v1/datasets
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Register a new dataset.

+

Request​

+
+
+

Responses​

A Dataset.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses.html b/docs/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses.html new file mode 100644 index 00000000..033bf54c --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses.html @@ -0,0 +1,28 @@ + + + + + +Resume an agent turn with executed tool call responses. | Llama Stack + + + + + + + + + + + +

Resume an agent turn with executed tool call responses.

+
POST 
/v1/agents/:agent_id/session/:session_id/turn/:turn_id/resume
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Resume an agent turn with executed tool call responses. +When a Turn has the status awaiting_input due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready.

+

Request​

+
+
+

Responses​

A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch.html new file mode 100644 index 00000000..b894e5f9 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch.html @@ -0,0 +1,27 @@ + + + + + +Retrieve a vector store file batch. | Llama Stack + + + + + + + + + + + +

Retrieve a vector store file batch.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve a vector store file batch.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id.html new file mode 100644 index 00000000..7f0bdcce --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Retrieve an agent session by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent session by its ID.

+
GET 
/v1/agents/:agent_id/session/:session_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve an agent session by its ID.

+

Request​

+
+
+

Responses​

A Session.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id.html new file mode 100644 index 00000000..b80dc785 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Retrieve an agent step by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent step by its ID.

+
GET 
/v1/agents/:agent_id/session/:session_id/turn/:turn_id/step/:step_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve an agent step by its ID.

+

Request​

+
+
+

Responses​

An AgentStepResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id.html new file mode 100644 index 00000000..af2c0d4e --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Retrieve an agent turn by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent turn by its ID.

+
GET 
/v1/agents/:agent_id/session/:session_id/turn/:turn_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve an agent turn by its ID.

+

Request​

+
+
+

Responses​

A Turn.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-file-content.html b/docs/v0.3.0/docs/api-deprecated/retrieve-file-content.html new file mode 100644 index 00000000..c06b1a21 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-file-content.html @@ -0,0 +1,28 @@ + + + + + +Retrieve file content. | Llama Stack + + + + + + + + + + + +

Retrieve file content.

+
GET 
/v1/openai/v1/files/:file_id/content
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve file content. +Returns the contents of the specified file.

+

Request​

+
+
+

Responses​

The raw file content as a binary response.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieve-file.html b/docs/v0.3.0/docs/api-deprecated/retrieve-file.html new file mode 100644 index 00000000..bccb3baf --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieve-file.html @@ -0,0 +1,28 @@ + + + + + +Retrieve file. | Llama Stack + + + + + + + + + + + +

Retrieve file.

+
GET 
/v1/openai/v1/files/:file_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieve file. +Returns information about a specific file.

+

Request​

+
+
+

Responses​

An OpenAIFileObject containing file information.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file.html b/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file.html new file mode 100644 index 00000000..711ccfc1 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file.html @@ -0,0 +1,27 @@ + + + + + +Retrieves a vector store file. | Llama Stack + + + + + + + + + + + +

Retrieves a vector store file.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id/files/:file_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieves a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store.html new file mode 100644 index 00000000..80f585a0 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieves-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Retrieves a vector store. | Llama Stack + + + + + + + + + + + +

Retrieves a vector store.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieves a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file.html b/docs/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file.html new file mode 100644 index 00000000..4f6cee8b --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file.html @@ -0,0 +1,27 @@ + + + + + +Retrieves the contents of a vector store file. | Llama Stack + + + + + + + + + + + +

Retrieves the contents of a vector store file.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id/files/:file_id/content
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Retrieves the contents of a vector store file.

+

Request​

+
+
+

Responses​

A list of InterleavedContent representing the file contents.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch.html b/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch.html new file mode 100644 index 00000000..88e6e9a7 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch.html @@ -0,0 +1,27 @@ + + + + + +Returns a list of vector store files in a batch. | Llama Stack + + + + + + + + + + + +

Returns a list of vector store files in a batch.

+
GET 
/v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id/files
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Returns a list of vector store files in a batch.

+

Request​

+
+
+

Responses​

A VectorStoreFilesListInBatchResponse containing the list of files in the batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores.html b/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores.html new file mode 100644 index 00000000..71296137 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores.html @@ -0,0 +1,27 @@ + + + + + +Returns a list of vector stores. | Llama Stack + + + + + + + + + + + +

Returns a list of vector stores.

+
GET 
/v1/openai/v1/vector_stores
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Returns a list of vector stores.

+

Request​

+
+
+

Responses​

A VectorStoreListResponse containing the list of vector stores.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark.html b/docs/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark.html new file mode 100644 index 00000000..fd07e882 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark.html @@ -0,0 +1,27 @@ + + + + + +Run an evaluation on a benchmark. | Llama Stack + + + + + + + + + + + +

Run an evaluation on a benchmark.

+
POST 
/v1/eval/benchmarks/:benchmark_id/jobs
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Run an evaluation on a benchmark.

+

Request​

+
+
+

Responses​

The job that was created to run the evaluation.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model.html b/docs/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model.html new file mode 100644 index 00000000..03c09628 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model.html @@ -0,0 +1,27 @@ + + + + + +Run preference optimization of a model. | Llama Stack + + + + + + + + + + + +

Run preference optimization of a model.

+
POST 
/v1/post-training/preference-optimize
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Run preference optimization of a model.

+

Request​

+
+
+

Responses​

A PostTrainingJob.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model.html b/docs/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model.html new file mode 100644 index 00000000..e93d0756 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model.html @@ -0,0 +1,27 @@ + + + + + +Run supervised fine-tuning of a model. | Llama Stack + + + + + + + + + + + +

Run supervised fine-tuning of a model.

+
POST 
/v1/post-training/supervised-fine-tune
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Run supervised fine-tuning of a model.

+

Request​

+
+
+

Responses​

A PostTrainingJob.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/safety.html b/docs/v0.3.0/docs/api-deprecated/safety.html new file mode 100644 index 00000000..8aa7abd8 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/safety.html @@ -0,0 +1,22 @@ + + + + + +Safety | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store.html new file mode 100644 index 00000000..f761e9bc --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store.html @@ -0,0 +1,28 @@ + + + + + +Search for chunks in a vector store. | Llama Stack + + + + + + + + + + + +

Search for chunks in a vector store.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id/search
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Search for chunks in a vector store. +Searches a vector store for relevant chunks based on a query and optional file attribute filters.

+

Request​

+
+
+

Responses​

A VectorStoreSearchResponse containing the search results.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/unregister-a-benchmark.html b/docs/v0.3.0/docs/api-deprecated/unregister-a-benchmark.html new file mode 100644 index 00000000..9c31fe3b --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/unregister-a-benchmark.html @@ -0,0 +1,27 @@ + + + + + +Unregister a benchmark. | Llama Stack + + + + + + + + + + + +

Unregister a benchmark.

+
DELETE 
/v1/eval/benchmarks/:benchmark_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Unregister a benchmark.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id.html b/docs/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id.html new file mode 100644 index 00000000..40775377 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id.html @@ -0,0 +1,27 @@ + + + + + +Unregister a dataset by its ID. | Llama Stack + + + + + + + + + + + +

Unregister a dataset by its ID.

+
DELETE 
/v1/datasets/:dataset_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Unregister a dataset by its ID.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store-file.html b/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store-file.html new file mode 100644 index 00000000..185b5349 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store-file.html @@ -0,0 +1,27 @@ + + + + + +Updates a vector store file. | Llama Stack + + + + + + + + + + + +

Updates a vector store file.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id/files/:file_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Updates a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the updated file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store.html b/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store.html new file mode 100644 index 00000000..125cde01 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/updates-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Updates a vector store. | Llama Stack + + + + + + + + + + + +

Updates a vector store.

+
POST 
/v1/openai/v1/vector_stores/:vector_store_id
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Updates a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the updated vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/upload-file.html b/docs/v0.3.0/docs/api-deprecated/upload-file.html new file mode 100644 index 00000000..84c30474 --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/upload-file.html @@ -0,0 +1,34 @@ + + + + + +Upload file. | Llama Stack + + + + + + + + + + + +

Upload file.

+
POST 
/v1/openai/v1/files
+
deprecated

This endpoint has been deprecated and may be replaced or removed in future versions of the API.

+

Upload file. +Upload a file that can be used across various endpoints.

+

The file upload should be a multipart form request with:

+
    +
  • file: The File object (not file name) to be uploaded.
    • +
  • purpose: The intended purpose of the uploaded file.
    • +
  • expires_after: Optional form values describing expiration for the file.
    • +
+

Request​

+
+
+

Responses​

An OpenAIFileObject representing the uploaded file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-deprecated/vector-io.html b/docs/v0.3.0/docs/api-deprecated/vector-io.html new file mode 100644 index 00000000..563ed7ba --- /dev/null +++ b/docs/v0.3.0/docs/api-deprecated/vector-io.html @@ -0,0 +1,20 @@ + + + + + +VectorIO | Llama Stack + + + + + + + + + + + +

VectorIO

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/agents.html b/docs/v0.3.0/docs/api-experimental/agents.html new file mode 100644 index 00000000..848a24a6 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/agents.html @@ -0,0 +1,43 @@ + + + + + +Agents | Llama Stack + + + + + + + + + + + +

Agents

APIs for creating and interacting with agentic systems.

+

Agents API (Experimental)​

+
+

🧪 EXPERIMENTAL: This API is in preview and may change based on user feedback. Great for exploring new capabilities and providing feedback to influence the final design.

+
+

Main functionalities provided by this API:

+
    +
  • Create agents with specific instructions and ability to use tools.
    • +
  • Interactions with agents are grouped into sessions ("threads"), and each interaction is called a "turn".
    • +
  • Agents can be provided with various tools (see the ToolGroups and ToolRuntime APIs for more details).
    • +
  • Agents can be provided with various shields (see the Safety API for more details).
    • +
  • Agents can also use Memory to retrieve information from knowledge bases. See the RAG Tool and Vector IO APIs for more details.
    • +
+

🧪 Feedback Welcome​

+

This API is actively being developed. We welcome feedback on:

+
    +
  • API design and usability
    • +
  • Performance characteristics
    • +
  • Missing features or capabilities
    • +
  • Integration patterns
    • +
+

Provide Feedback: GitHub Discussions or GitHub Issues

+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/append-rows-to-a-dataset.html b/docs/v0.3.0/docs/api-experimental/append-rows-to-a-dataset.html new file mode 100644 index 00000000..6dbe2641 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/append-rows-to-a-dataset.html @@ -0,0 +1,26 @@ + + + + + +Append rows to a dataset. | Llama Stack + + + + + + + + + + + +

Append rows to a dataset.

+
POST 
/v1beta/datasetio/append-rows/:dataset_id
+

Append rows to a dataset.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/benchmarks.html b/docs/v0.3.0/docs/api-experimental/benchmarks.html new file mode 100644 index 00000000..d532fae0 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/benchmarks.html @@ -0,0 +1,20 @@ + + + + + +Benchmarks | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/cancel-a-job.html b/docs/v0.3.0/docs/api-experimental/cancel-a-job.html new file mode 100644 index 00000000..55ac59ae --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/cancel-a-job.html @@ -0,0 +1,26 @@ + + + + + +Cancel a job. | Llama Stack + + + + + + + + + + + +

Cancel a job.

+
DELETE 
/v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id
+

Cancel a job.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/cancel-a-training-job.html b/docs/v0.3.0/docs/api-experimental/cancel-a-training-job.html new file mode 100644 index 00000000..005996ee --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/cancel-a-training-job.html @@ -0,0 +1,26 @@ + + + + + +Cancel a training job. | Llama Stack + + + + + + + + + + + +

Cancel a training job.

+
POST 
/v1alpha/post-training/job/cancel
+

Cancel a training job.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent.html b/docs/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent.html new file mode 100644 index 00000000..daa12985 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent.html @@ -0,0 +1,26 @@ + + + + + +Create a new session for an agent. | Llama Stack + + + + + + + + + + + +

Create a new session for an agent.

+
POST 
/v1alpha/agents/:agent_id/session
+

Create a new session for an agent.

+

Request​

+
+
+

Responses​

An AgentSessionCreateResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent.html b/docs/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent.html new file mode 100644 index 00000000..ed23a065 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent.html @@ -0,0 +1,26 @@ + + + + + +Create a new turn for an agent. | Llama Stack + + + + + + + + + + + +

Create a new turn for an agent.

+
POST 
/v1alpha/agents/:agent_id/session/:session_id/turn
+

Create a new turn for an agent.

+

Request​

+
+
+

Responses​

If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration.html b/docs/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration.html new file mode 100644 index 00000000..b55281ef --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration.html @@ -0,0 +1,26 @@ + + + + + +Create an agent with the given configuration. | Llama Stack + + + + + + + + + + + +

Create an agent with the given configuration.

+
POST 
/v1alpha/agents
+

Create an agent with the given configuration.

+

Request​

+
+
+

Responses​

An AgentCreateResponse with the agent ID.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/dataset-io.html b/docs/v0.3.0/docs/api-experimental/dataset-io.html new file mode 100644 index 00000000..965aec46 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/dataset-io.html @@ -0,0 +1,20 @@ + + + + + +DatasetIO | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/datasets.html b/docs/v0.3.0/docs/api-experimental/datasets.html new file mode 100644 index 00000000..19844148 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/datasets.html @@ -0,0 +1,20 @@ + + + + + +Datasets | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html b/docs/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html new file mode 100644 index 00000000..c809e77b --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns.html @@ -0,0 +1,26 @@ + + + + + +Delete an agent by its ID and its associated sessions and turns. | Llama Stack + + + + + + + + + + + +

Delete an agent by its ID and its associated sessions and turns.

+
DELETE 
/v1alpha/agents/:agent_id
+

Delete an agent by its ID and its associated sessions and turns.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns.html b/docs/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns.html new file mode 100644 index 00000000..26a688de --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns.html @@ -0,0 +1,26 @@ + + + + + +Delete an agent session by its ID and its associated turns. | Llama Stack + + + + + + + + + + + +

Delete an agent session by its ID and its associated turns.

+
DELETE 
/v1alpha/agents/:agent_id/session/:session_id
+

Delete an agent session by its ID and its associated turns.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id.html b/docs/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id.html new file mode 100644 index 00000000..b1de26f1 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Describe an agent by its ID. | Llama Stack + + + + + + + + + + + +

Describe an agent by its ID.

+
GET 
/v1alpha/agents/:agent_id
+

Describe an agent by its ID.

+

Request​

+
+
+

Responses​

An Agent of the agent.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/eval.html b/docs/v0.3.0/docs/api-experimental/eval.html new file mode 100644 index 00000000..ba4342b5 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/eval.html @@ -0,0 +1,22 @@ + + + + + +Evaluations | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark.html b/docs/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark.html new file mode 100644 index 00000000..83dd73c9 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark.html @@ -0,0 +1,26 @@ + + + + + +Evaluate a list of rows on a benchmark. | Llama Stack + + + + + + + + + + + +

Evaluate a list of rows on a benchmark.

+
POST 
/v1alpha/eval/benchmarks/:benchmark_id/evaluations
+

Evaluate a list of rows on a benchmark.

+

Request​

+
+
+

Responses​

EvaluateResponse object containing generations and scores.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id.html b/docs/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id.html new file mode 100644 index 00000000..25c32740 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Get a benchmark by its ID. | Llama Stack + + + + + + + + + + + +

Get a benchmark by its ID.

+
GET 
/v1alpha/eval/benchmarks/:benchmark_id
+

Get a benchmark by its ID.

+

Request​

+
+
+

Responses​

A Benchmark.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id.html b/docs/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id.html new file mode 100644 index 00000000..c85c0a69 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Get a dataset by its ID. | Llama Stack + + + + + + + + + + + +

Get a dataset by its ID.

+
GET 
/v1beta/datasets/:dataset_id
+

Get a dataset by its ID.

+

Request​

+
+
+

Responses​

A Dataset.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset.html b/docs/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset.html new file mode 100644 index 00000000..8a45d7e9 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset.html @@ -0,0 +1,36 @@ + + + + + +Get a paginated list of rows from a dataset. | Llama Stack + + + + + + + + + + + +

Get a paginated list of rows from a dataset.

+
GET 
/v1beta/datasetio/iterrows/:dataset_id
+

Get a paginated list of rows from a dataset. +Uses offset-based pagination where:

+
    +
  • start_index: The starting index (0-based). If None, starts from beginning.
    • +
  • limit: Number of items to return. If None or -1, returns all items.
    • +
+

The response includes:

+
    +
  • data: List of items for the current page.
    • +
  • has_more: Whether there are more items available after this set.
    • +
+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-all-training-jobs.html b/docs/v0.3.0/docs/api-experimental/get-all-training-jobs.html new file mode 100644 index 00000000..4fc12729 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-all-training-jobs.html @@ -0,0 +1,26 @@ + + + + + +Get all training jobs. | Llama Stack + + + + + + + + + + + +

Get all training jobs.

+
GET 
/v1alpha/post-training/jobs
+

Get all training jobs.

+

Request​

+
+
+

Responses​

A ListPostTrainingJobsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job.html b/docs/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job.html new file mode 100644 index 00000000..0558320c --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job.html @@ -0,0 +1,26 @@ + + + + + +Get the artifacts of a training job. | Llama Stack + + + + + + + + + + + +

Get the artifacts of a training job.

+
GET 
/v1alpha/post-training/job/artifacts
+

Get the artifacts of a training job.

+

Request​

+
+
+

Responses​

A PostTrainingJobArtifactsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-the-result-of-a-job.html b/docs/v0.3.0/docs/api-experimental/get-the-result-of-a-job.html new file mode 100644 index 00000000..6e181da2 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-the-result-of-a-job.html @@ -0,0 +1,26 @@ + + + + + +Get the result of a job. | Llama Stack + + + + + + + + + + + +

Get the result of a job.

+
GET 
/v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id/result
+

Get the result of a job.

+

Request​

+
+
+

Responses​

The result of the job.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-job.html b/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-job.html new file mode 100644 index 00000000..92bb7fd8 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-job.html @@ -0,0 +1,26 @@ + + + + + +Get the status of a job. | Llama Stack + + + + + + + + + + + +

Get the status of a job.

+
GET 
/v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id
+

Get the status of a job.

+

Request​

+
+
+

Responses​

The status of the evaluation job.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job.html b/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job.html new file mode 100644 index 00000000..c3114ac8 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job.html @@ -0,0 +1,26 @@ + + + + + +Get the status of a training job. | Llama Stack + + + + + + + + + + + +

Get the status of a training job.

+
GET 
/v1alpha/post-training/job/status
+

Get the status of a training job.

+

Request​

+
+
+

Responses​

A PostTrainingJobStatusResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/list-all-agents.html b/docs/v0.3.0/docs/api-experimental/list-all-agents.html new file mode 100644 index 00000000..b2748c8d --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/list-all-agents.html @@ -0,0 +1,26 @@ + + + + + +List all agents. | Llama Stack + + + + + + + + + + + +

List all agents.

+
GET 
/v1alpha/agents
+

List all agents.

+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/list-all-benchmarks.html b/docs/v0.3.0/docs/api-experimental/list-all-benchmarks.html new file mode 100644 index 00000000..683dd3a1 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/list-all-benchmarks.html @@ -0,0 +1,26 @@ + + + + + +List all benchmarks. | Llama Stack + + + + + + + + + + + +

List all benchmarks.

+
GET 
/v1alpha/eval/benchmarks
+

List all benchmarks.

+

Request​

+
+
+

Responses​

A ListBenchmarksResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/list-all-datasets.html b/docs/v0.3.0/docs/api-experimental/list-all-datasets.html new file mode 100644 index 00000000..a69f778d --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/list-all-datasets.html @@ -0,0 +1,26 @@ + + + + + +List all datasets. | Llama Stack + + + + + + + + + + + +

List all datasets.

+
GET 
/v1beta/datasets
+

List all datasets.

+

Request​

+
+
+

Responses​

A ListDatasetsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent.html b/docs/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent.html new file mode 100644 index 00000000..45395f74 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent.html @@ -0,0 +1,26 @@ + + + + + +List all session(s) of a given agent. | Llama Stack + + + + + + + + + + + +

List all session(s) of a given agent.

+
GET 
/v1alpha/agents/:agent_id/sessions
+

List all session(s) of a given agent.

+

Request​

+
+
+

Responses​

A PaginatedResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/llama-stack-specification-experimental-apis.html b/docs/v0.3.0/docs/api-experimental/llama-stack-specification-experimental-apis.html new file mode 100644 index 00000000..31675261 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/llama-stack-specification-experimental-apis.html @@ -0,0 +1,27 @@ + + + + + +Llama Stack Specification - Experimental APIs | Llama Stack + + + + + + + + + + + +
Version: v1 +
+

Llama Stack Specification - Experimental APIs

+

This is the specification of the Llama Stack that provides +a set of endpoints and their corresponding interfaces that are +tailored to +best leverage Llama Models.

+

🧪 EXPERIMENTAL: Pre-release APIs (v1alpha, v1beta) that may change before becoming stable.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/post-training-coming-soon.html b/docs/v0.3.0/docs/api-experimental/post-training-coming-soon.html new file mode 100644 index 00000000..ff31cb8c --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/post-training-coming-soon.html @@ -0,0 +1,20 @@ + + + + + +PostTraining (Coming Soon) | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/register-a-benchmark.html b/docs/v0.3.0/docs/api-experimental/register-a-benchmark.html new file mode 100644 index 00000000..15523c18 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/register-a-benchmark.html @@ -0,0 +1,26 @@ + + + + + +Register a benchmark. | Llama Stack + + + + + + + + + + + +

Register a benchmark.

+
POST 
/v1alpha/eval/benchmarks
+

Register a benchmark.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/register-a-new-dataset.html b/docs/v0.3.0/docs/api-experimental/register-a-new-dataset.html new file mode 100644 index 00000000..2243bf87 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/register-a-new-dataset.html @@ -0,0 +1,26 @@ + + + + + +Register a new dataset. | Llama Stack + + + + + + + + + + + +

Register a new dataset.

+
POST 
/v1beta/datasets
+

Register a new dataset.

+

Request​

+
+
+

Responses​

A Dataset.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query.html b/docs/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query.html new file mode 100644 index 00000000..2f39ea75 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query.html @@ -0,0 +1,26 @@ + + + + + +Rerank a list of documents based on their relevance to a query. | Llama Stack + + + + + + + + + + + +

Rerank a list of documents based on their relevance to a query.

+
POST 
/v1alpha/inference/rerank
+

Rerank a list of documents based on their relevance to a query.

+

Request​

+
+
+

Responses​

RerankResponse with indices sorted by relevance score (descending).

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses.html b/docs/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses.html new file mode 100644 index 00000000..fade9207 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses.html @@ -0,0 +1,27 @@ + + + + + +Resume an agent turn with executed tool call responses. | Llama Stack + + + + + + + + + + + +

Resume an agent turn with executed tool call responses.

+
POST 
/v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id/resume
+

Resume an agent turn with executed tool call responses. +When a Turn has the status awaiting_input due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready.

+

Request​

+
+
+

Responses​

A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id.html b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id.html new file mode 100644 index 00000000..fbcf3dc6 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Retrieve an agent session by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent session by its ID.

+
GET 
/v1alpha/agents/:agent_id/session/:session_id
+

Retrieve an agent session by its ID.

+

Request​

+
+
+

Responses​

A Session.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id.html b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id.html new file mode 100644 index 00000000..3fde5d35 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Retrieve an agent step by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent step by its ID.

+
GET 
/v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id/step/:step_id
+

Retrieve an agent step by its ID.

+

Request​

+
+
+

Responses​

An AgentStepResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id.html b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id.html new file mode 100644 index 00000000..e2795f6a --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Retrieve an agent turn by its ID. | Llama Stack + + + + + + + + + + + +

Retrieve an agent turn by its ID.

+
GET 
/v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id
+

Retrieve an agent turn by its ID.

+

Request​

+
+
+

Responses​

A Turn.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark.html b/docs/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark.html new file mode 100644 index 00000000..753f63de --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark.html @@ -0,0 +1,26 @@ + + + + + +Run an evaluation on a benchmark. | Llama Stack + + + + + + + + + + + +

Run an evaluation on a benchmark.

+
POST 
/v1alpha/eval/benchmarks/:benchmark_id/jobs
+

Run an evaluation on a benchmark.

+

Request​

+
+
+

Responses​

The job that was created to run the evaluation.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model.html b/docs/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model.html new file mode 100644 index 00000000..c277079f --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model.html @@ -0,0 +1,26 @@ + + + + + +Run preference optimization of a model. | Llama Stack + + + + + + + + + + + +

Run preference optimization of a model.

+
POST 
/v1alpha/post-training/preference-optimize
+

Run preference optimization of a model.

+

Request​

+
+
+

Responses​

A PostTrainingJob.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model.html b/docs/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model.html new file mode 100644 index 00000000..e618fbc6 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model.html @@ -0,0 +1,26 @@ + + + + + +Run supervised fine-tuning of a model. | Llama Stack + + + + + + + + + + + +

Run supervised fine-tuning of a model.

+
POST 
/v1alpha/post-training/supervised-fine-tune
+

Run supervised fine-tuning of a model.

+

Request​

+
+
+

Responses​

A PostTrainingJob.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/unregister-a-benchmark.html b/docs/v0.3.0/docs/api-experimental/unregister-a-benchmark.html new file mode 100644 index 00000000..6c36bc34 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/unregister-a-benchmark.html @@ -0,0 +1,26 @@ + + + + + +Unregister a benchmark. | Llama Stack + + + + + + + + + + + +

Unregister a benchmark.

+
DELETE 
/v1alpha/eval/benchmarks/:benchmark_id
+

Unregister a benchmark.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id.html b/docs/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id.html new file mode 100644 index 00000000..cfff9fb8 --- /dev/null +++ b/docs/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Unregister a dataset by its ID. | Llama Stack + + + + + + + + + + + +

Unregister a dataset by its ID.

+
DELETE 
/v1beta/datasets/:dataset_id
+

Unregister a dataset by its ID.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api-overview.html b/docs/v0.3.0/docs/api-overview.html new file mode 100644 index 00000000..e30bc074 --- /dev/null +++ b/docs/v0.3.0/docs/api-overview.html @@ -0,0 +1,56 @@ + + + + + +API Reference Overview | Llama Stack + + + + + + + + + + + +

API Reference Overview

+

The Llama Stack provides a comprehensive set of APIs organized by stability level to help you choose the right endpoints for your use case.

+

🟢 Stable APIs​

+

Production-ready APIs with backward compatibility guarantees.

+

These APIs are fully tested, documented, and stable. They follow semantic versioning principles and maintain backward compatibility within major versions. Recommended for production applications.

+

Browse Stable APIs →

+

Key Features:

+
    +
  • ✅ Backward compatibility guaranteed
    • +
  • ✅ Comprehensive testing and validation
    • +
  • ✅ Production-ready reliability
    • +
  • ✅ Long-term support
    • +
+
+

🟡 Experimental APIs​

+

Preview APIs that may change before becoming stable.

+

These APIs include v1alpha and v1beta endpoints that are feature-complete but may undergo changes based on feedback. Great for exploring new capabilities and providing feedback.

+

Browse Experimental APIs →

+

Key Features:

+
    +
  • 🧪 Latest features and capabilities
    • +
  • 🧪 May change based on user feedback
    • +
  • 🧪 Active development and iteration
    • +
  • 🧪 Opportunity to influence final design
    • +
+
+

🔴 Deprecated APIs​

+

Legacy APIs for migration reference.

+

These APIs are deprecated and will be removed in future versions. They are provided for migration purposes and to help transition to newer, stable alternatives.

+

Browse Deprecated APIs →

+

Key Features:

+
    +
  • ⚠️ Will be removed in future versions
    • +
  • ⚠️ Migration guidance provided
    • +
  • ⚠️ Use for compatibility during transition
    • +
  • ⚠️ Not recommended for new projects
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/agents.html b/docs/v0.3.0/docs/api/agents.html new file mode 100644 index 00000000..373be6bd --- /dev/null +++ b/docs/v0.3.0/docs/api/agents.html @@ -0,0 +1,64 @@ + + + + + +Agents | Llama Stack + + + + + + + + + + + +

Agents

APIs for creating and interacting with agentic systems.

+

Responses API​

+

The Responses API provides OpenAI-compatible functionality with enhanced capabilities for dynamic, stateful interactions.

+
+

✅ STABLE: This API is production-ready with backward compatibility guarantees. Recommended for production applications.

+
+

✅ Supported Tools​

+

The Responses API supports the following tool types:

+
    +
  • web_search: Search the web for current information and real-time data
    • +
  • file_search: Search through uploaded files and vector stores +
      +
    • Supports dynamic vector_store_ids per call
      • +
    • Compatible with OpenAI file search patterns
      • +
    +
    • +
  • function: Call custom functions with JSON schema validation
    • +
  • mcp_tool: Model Context Protocol integration
    • +
+

✅ Supported Fields & Features​

+

Core Capabilities:

+
    +
  • Dynamic Configuration: Switch models, vector stores, and tools per request without pre-configuration
    • +
  • Conversation Branching: Use previous_response_id to branch conversations and explore different paths
    • +
  • Rich Annotations: Automatic file citations, URL citations, and container file citations
    • +
  • Status Tracking: Monitor tool call execution status and handle failures gracefully
    • +
+

🚧 Work in Progress​

+
    +
  • Full real-time response streaming support
    • +
  • tool_choice parameter
    • +
  • max_tool_calls parameter
    • +
  • Built-in tools (code interpreter, containers API)
    • +
  • Safety & guardrails
    • +
  • reasoning capabilities
    • +
  • service_tier
    • +
  • logprobs
    • +
  • max_output_tokens
    • +
  • metadata handling
    • +
  • instructions
    • +
  • incomplete_details
    • +
  • background
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/attach-a-file-to-a-vector-store.html b/docs/v0.3.0/docs/api/attach-a-file-to-a-vector-store.html new file mode 100644 index 00000000..d8dc8ab4 --- /dev/null +++ b/docs/v0.3.0/docs/api/attach-a-file-to-a-vector-store.html @@ -0,0 +1,26 @@ + + + + + +Attach a file to a vector store. | Llama Stack + + + + + + + + + + + +

Attach a file to a vector store.

+
POST 
/v1/vector_stores/:vector_store_id/files
+

Attach a file to a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the attached file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/cancels-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api/cancels-a-vector-store-file-batch.html new file mode 100644 index 00000000..04d817b4 --- /dev/null +++ b/docs/v0.3.0/docs/api/cancels-a-vector-store-file-batch.html @@ -0,0 +1,26 @@ + + + + + +Cancels a vector store file batch. | Llama Stack + + + + + + + + + + + +

Cancels a vector store file batch.

+
POST 
/v1/vector_stores/:vector_store_id/file_batches/:batch_id/cancel
+

Cancels a vector store file batch.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the cancelled file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/conversations.html b/docs/v0.3.0/docs/api/conversations.html new file mode 100644 index 00000000..5e44ad20 --- /dev/null +++ b/docs/v0.3.0/docs/api/conversations.html @@ -0,0 +1,22 @@ + + + + + +Conversations | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-a-conversation.html b/docs/v0.3.0/docs/api/create-a-conversation.html new file mode 100644 index 00000000..047a1d12 --- /dev/null +++ b/docs/v0.3.0/docs/api/create-a-conversation.html @@ -0,0 +1,27 @@ + + + + + +Create a conversation. | Llama Stack + + + + + + + + + + + +

Create a conversation.

+
POST 
/v1/conversations
+

Create a conversation. +Create a conversation.

+

Request​

+
+
+

Responses​

The created conversation object.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-a-model-response.html b/docs/v0.3.0/docs/api/create-a-model-response.html new file mode 100644 index 00000000..0585287b --- /dev/null +++ b/docs/v0.3.0/docs/api/create-a-model-response.html @@ -0,0 +1,26 @@ + + + + + +Create a model response. | Llama Stack + + + + + + + + + + + +

Create a model response.

+
POST 
/v1/responses
+

Create a model response.

+

Request​

+
+
+

Responses​

An OpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api/create-a-vector-store-file-batch.html new file mode 100644 index 00000000..37cd0bd5 --- /dev/null +++ b/docs/v0.3.0/docs/api/create-a-vector-store-file-batch.html @@ -0,0 +1,27 @@ + + + + + +Create a vector store file batch. | Llama Stack + + + + + + + + + + + +

Create a vector store file batch.

+
POST 
/v1/vector_stores/:vector_store_id/file_batches
+

Create a vector store file batch. +Generate an OpenAI-compatible vector store file batch for the given vector store.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the created file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-chat-completions.html b/docs/v0.3.0/docs/api/create-chat-completions.html new file mode 100644 index 00000000..615145f4 --- /dev/null +++ b/docs/v0.3.0/docs/api/create-chat-completions.html @@ -0,0 +1,27 @@ + + + + + +Create chat completions. | Llama Stack + + + + + + + + + + + +

Create chat completions.

+
POST 
/v1/chat/completions
+

Create chat completions. +Generate an OpenAI-compatible chat completion for the given messages using the specified model.

+

Request​

+
+
+

Responses​

An OpenAIChatCompletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-completion.html b/docs/v0.3.0/docs/api/create-completion.html new file mode 100644 index 00000000..47635c73 --- /dev/null +++ b/docs/v0.3.0/docs/api/create-completion.html @@ -0,0 +1,27 @@ + + + + + +Create completion. | Llama Stack + + + + + + + + + + + +

Create completion.

+
POST 
/v1/completions
+

Create completion. +Generate an OpenAI-compatible completion for the given prompt using the specified model.

+

Request​

+
+
+

Responses​

An OpenAICompletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-embeddings.html b/docs/v0.3.0/docs/api/create-embeddings.html new file mode 100644 index 00000000..eab779ad --- /dev/null +++ b/docs/v0.3.0/docs/api/create-embeddings.html @@ -0,0 +1,27 @@ + + + + + +Create embeddings. | Llama Stack + + + + + + + + + + + +

Create embeddings.

+
POST 
/v1/embeddings
+

Create embeddings. +Generate OpenAI-compatible embeddings for the given input using the specified model.

+

Request​

+
+
+

Responses​

An OpenAIEmbeddingsResponse containing the embeddings.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-items.html b/docs/v0.3.0/docs/api/create-items.html new file mode 100644 index 00000000..e351d78c --- /dev/null +++ b/docs/v0.3.0/docs/api/create-items.html @@ -0,0 +1,27 @@ + + + + + +Create items. | Llama Stack + + + + + + + + + + + +

Create items.

+
POST 
/v1/conversations/:conversation_id/items
+

Create items. +Create items in the conversation.

+

Request​

+
+
+

Responses​

List of created items.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-moderation.html b/docs/v0.3.0/docs/api/create-moderation.html new file mode 100644 index 00000000..90b501a1 --- /dev/null +++ b/docs/v0.3.0/docs/api/create-moderation.html @@ -0,0 +1,27 @@ + + + + + +Create moderation. | Llama Stack + + + + + + + + + + + +

Create moderation.

+
POST 
/v1/moderations
+

Create moderation. +Classifies if text and/or image inputs are potentially harmful.

+

Request​

+
+
+

Responses​

A moderation object.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/create-prompt.html b/docs/v0.3.0/docs/api/create-prompt.html new file mode 100644 index 00000000..8c94f7fc --- /dev/null +++ b/docs/v0.3.0/docs/api/create-prompt.html @@ -0,0 +1,27 @@ + + + + + +Create prompt. | Llama Stack + + + + + + + + + + + +

Create prompt.

+
POST 
/v1/prompts
+

Create prompt. +Create a new prompt.

+

Request​

+
+
+

Responses​

The created Prompt resource.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/creates-a-vector-store.html b/docs/v0.3.0/docs/api/creates-a-vector-store.html new file mode 100644 index 00000000..90752765 --- /dev/null +++ b/docs/v0.3.0/docs/api/creates-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Creates a vector store. | Llama Stack + + + + + + + + + + + +

Creates a vector store.

+
POST 
/v1/vector_stores
+

Creates a vector store. +Generate an OpenAI-compatible vector store with the given parameters.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the created vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-a-conversation.html b/docs/v0.3.0/docs/api/delete-a-conversation.html new file mode 100644 index 00000000..72cebaab --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-a-conversation.html @@ -0,0 +1,27 @@ + + + + + +Delete a conversation. | Llama Stack + + + + + + + + + + + +

Delete a conversation.

+
DELETE 
/v1/conversations/:conversation_id
+

Delete a conversation. +Delete a conversation with the given ID.

+

Request​

+
+
+

Responses​

The deleted conversation resource.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-a-response.html b/docs/v0.3.0/docs/api/delete-a-response.html new file mode 100644 index 00000000..36ee8f53 --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-a-response.html @@ -0,0 +1,26 @@ + + + + + +Delete a response. | Llama Stack + + + + + + + + + + + +

Delete a response.

+
DELETE 
/v1/responses/:response_id
+

Delete a response.

+

Request​

+
+
+

Responses​

An OpenAIDeleteResponseObject

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-a-vector-store-file.html b/docs/v0.3.0/docs/api/delete-a-vector-store-file.html new file mode 100644 index 00000000..c74558a7 --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-a-vector-store-file.html @@ -0,0 +1,26 @@ + + + + + +Delete a vector store file. | Llama Stack + + + + + + + + + + + +

Delete a vector store file.

+
DELETE 
/v1/vector_stores/:vector_store_id/files/:file_id
+

Delete a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileDeleteResponse indicating the deletion status.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-a-vector-store.html b/docs/v0.3.0/docs/api/delete-a-vector-store.html new file mode 100644 index 00000000..5387d467 --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-a-vector-store.html @@ -0,0 +1,26 @@ + + + + + +Delete a vector store. | Llama Stack + + + + + + + + + + + +

Delete a vector store.

+
DELETE 
/v1/vector_stores/:vector_store_id
+

Delete a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreDeleteResponse indicating the deletion status.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-an-item.html b/docs/v0.3.0/docs/api/delete-an-item.html new file mode 100644 index 00000000..3af21515 --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-an-item.html @@ -0,0 +1,27 @@ + + + + + +Delete an item. | Llama Stack + + + + + + + + + + + +

Delete an item.

+
DELETE 
/v1/conversations/:conversation_id/items/:item_id
+

Delete an item. +Delete a conversation item.

+

Request​

+
+
+

Responses​

The deleted item resource.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-file.html b/docs/v0.3.0/docs/api/delete-file.html new file mode 100644 index 00000000..4436b596 --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-file.html @@ -0,0 +1,26 @@ + + + + + +Delete file. | Llama Stack + + + + + + + + + + + +

Delete file.

+
DELETE 
/v1/files/:file_id
+

Delete file.

+

Request​

+
+
+

Responses​

An OpenAIFileDeleteResponse indicating successful deletion.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/delete-prompt.html b/docs/v0.3.0/docs/api/delete-prompt.html new file mode 100644 index 00000000..68429cef --- /dev/null +++ b/docs/v0.3.0/docs/api/delete-prompt.html @@ -0,0 +1,27 @@ + + + + + +Delete prompt. | Llama Stack + + + + + + + + + + + +

Delete prompt.

+
DELETE 
/v1/prompts/:prompt_id
+

Delete prompt. +Delete a prompt.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/files.html b/docs/v0.3.0/docs/api/files.html new file mode 100644 index 00000000..86715495 --- /dev/null +++ b/docs/v0.3.0/docs/api/files.html @@ -0,0 +1,22 @@ + + + + + +Files | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering.html b/docs/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering.html new file mode 100644 index 00000000..03168b67 --- /dev/null +++ b/docs/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering.html @@ -0,0 +1,26 @@ + + + + + +Generate synthetic data based on input dialogs and apply filtering. | Llama Stack + + + + + + + + + + + +

Generate synthetic data based on input dialogs and apply filtering.

+
POST 
/v1/synthetic-data-generation/generate
+

Generate synthetic data based on input dialogs and apply filtering.

+

Request​

+
+
+

Responses​

Response containing filtered synthetic data samples and optional statistics

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-a-model-response.html b/docs/v0.3.0/docs/api/get-a-model-response.html new file mode 100644 index 00000000..9f5d8028 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-a-model-response.html @@ -0,0 +1,26 @@ + + + + + +Get a model response. | Llama Stack + + + + + + + + + + + +

Get a model response.

+
GET 
/v1/responses/:response_id
+

Get a model response.

+

Request​

+
+
+

Responses​

An OpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-a-scoring-function-by-its-id.html b/docs/v0.3.0/docs/api/get-a-scoring-function-by-its-id.html new file mode 100644 index 00000000..c8f5ea48 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-a-scoring-function-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Get a scoring function by its ID. | Llama Stack + + + + + + + + + + + +

Get a scoring function by its ID.

+
GET 
/v1/scoring-functions/:scoring_fn_id
+

Get a scoring function by its ID.

+

Request​

+
+
+

Responses​

A ScoringFn.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-a-shield-by-its-identifier.html b/docs/v0.3.0/docs/api/get-a-shield-by-its-identifier.html new file mode 100644 index 00000000..995db903 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-a-shield-by-its-identifier.html @@ -0,0 +1,26 @@ + + + + + +Get a shield by its identifier. | Llama Stack + + + + + + + + + + + +

Get a shield by its identifier.

+
GET 
/v1/shields/:identifier
+

Get a shield by its identifier.

+

Request​

+
+
+

Responses​

A Shield.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-a-tool-by-its-name.html b/docs/v0.3.0/docs/api/get-a-tool-by-its-name.html new file mode 100644 index 00000000..9953455f --- /dev/null +++ b/docs/v0.3.0/docs/api/get-a-tool-by-its-name.html @@ -0,0 +1,26 @@ + + + + + +Get a tool by its name. | Llama Stack + + + + + + + + + + + +

Get a tool by its name.

+
GET 
/v1/tools/:tool_name
+

Get a tool by its name.

+

Request​

+
+
+

Responses​

A ToolDef.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-a-tool-group-by-its-id.html b/docs/v0.3.0/docs/api/get-a-tool-group-by-its-id.html new file mode 100644 index 00000000..e784eb0a --- /dev/null +++ b/docs/v0.3.0/docs/api/get-a-tool-group-by-its-id.html @@ -0,0 +1,26 @@ + + + + + +Get a tool group by its ID. | Llama Stack + + + + + + + + + + + +

Get a tool group by its ID.

+
GET 
/v1/toolgroups/:toolgroup_id
+

Get a tool group by its ID.

+

Request​

+
+
+

Responses​

A ToolGroup.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-chat-completion.html b/docs/v0.3.0/docs/api/get-chat-completion.html new file mode 100644 index 00000000..63bcb6a3 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-chat-completion.html @@ -0,0 +1,27 @@ + + + + + +Get chat completion. | Llama Stack + + + + + + + + + + + +

Get chat completion.

+
GET 
/v1/chat/completions/:completion_id
+

Get chat completion. +Describe a chat completion by its ID.

+

Request​

+
+
+

Responses​

A OpenAICompletionWithInputMessages.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-health-status.html b/docs/v0.3.0/docs/api/get-health-status.html new file mode 100644 index 00000000..0d613f11 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-health-status.html @@ -0,0 +1,27 @@ + + + + + +Get health status. | Llama Stack + + + + + + + + + + + +

Get health status.

+
GET 
/v1/health
+

Get health status. +Get the current health status of the service.

+

Request​

+
+
+

Responses​

Health information indicating if the service is operational.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-model.html b/docs/v0.3.0/docs/api/get-model.html new file mode 100644 index 00000000..d6e03a49 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-model.html @@ -0,0 +1,27 @@ + + + + + +Get model. | Llama Stack + + + + + + + + + + + +

Get model.

+
GET 
/v1/models/:model_id
+

Get model. +Get a model by its identifier.

+

Request​

+
+
+

Responses​

A Model.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-prompt.html b/docs/v0.3.0/docs/api/get-prompt.html new file mode 100644 index 00000000..3055dc04 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-prompt.html @@ -0,0 +1,27 @@ + + + + + +Get prompt. | Llama Stack + + + + + + + + + + + +

Get prompt.

+
GET 
/v1/prompts/:prompt_id
+

Get prompt. +Get a prompt by its identifier and optional version.

+

Request​

+
+
+

Responses​

A Prompt resource.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-provider.html b/docs/v0.3.0/docs/api/get-provider.html new file mode 100644 index 00000000..dc28c1f1 --- /dev/null +++ b/docs/v0.3.0/docs/api/get-provider.html @@ -0,0 +1,27 @@ + + + + + +Get provider. | Llama Stack + + + + + + + + + + + +

Get provider.

+
GET 
/v1/providers/:provider_id
+

Get provider. +Get detailed information about a specific provider.

+

Request​

+
+
+

Responses​

A ProviderInfo object containing the provider's details.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/get-version.html b/docs/v0.3.0/docs/api/get-version.html new file mode 100644 index 00000000..2c79e81f --- /dev/null +++ b/docs/v0.3.0/docs/api/get-version.html @@ -0,0 +1,27 @@ + + + + + +Get version. | Llama Stack + + + + + + + + + + + +

Get version.

+
GET 
/v1/version
+

Get version. +Get the version of the service.

+

Request​

+
+
+

Responses​

Version information containing the service version number.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system.html b/docs/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system.html new file mode 100644 index 00000000..5740fb62 --- /dev/null +++ b/docs/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system.html @@ -0,0 +1,26 @@ + + + + + +Index documents so they can be used by the RAG system. | Llama Stack + + + + + + + + + + + +

Index documents so they can be used by the RAG system.

+
POST 
/v1/tool-runtime/rag-tool/insert
+

Index documents so they can be used by the RAG system.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/inference.html b/docs/v0.3.0/docs/api/inference.html new file mode 100644 index 00000000..47356fda --- /dev/null +++ b/docs/v0.3.0/docs/api/inference.html @@ -0,0 +1,27 @@ + + + + + +Inference | Llama Stack + + + + + + + + + + + +

Inference

Llama Stack Inference API for generating completions, chat completions, and embeddings.

+

This API provides the raw interface to the underlying models. Two kinds of models are supported:

+
    +
  • LLM models: these models generate "raw" and "chat" (conversational) completions.
    • +
  • Embedding models: these models generate embeddings to be used for semantic search.
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/insert-chunks-into-a-vector-database.html b/docs/v0.3.0/docs/api/insert-chunks-into-a-vector-database.html new file mode 100644 index 00000000..66b49e4c --- /dev/null +++ b/docs/v0.3.0/docs/api/insert-chunks-into-a-vector-database.html @@ -0,0 +1,26 @@ + + + + + +Insert chunks into a vector database. | Llama Stack + + + + + + + + + + + +

Insert chunks into a vector database.

+
POST 
/v1/vector-io/insert
+

Insert chunks into a vector database.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/inspect.html b/docs/v0.3.0/docs/api/inspect.html new file mode 100644 index 00000000..21a4c132 --- /dev/null +++ b/docs/v0.3.0/docs/api/inspect.html @@ -0,0 +1,22 @@ + + + + + +Inspect | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-models.html b/docs/v0.3.0/docs/api/list-all-models.html new file mode 100644 index 00000000..4a6f892b --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-models.html @@ -0,0 +1,26 @@ + + + + + +List all models. | Llama Stack + + + + + + + + + + + +

List all models.

+
GET 
/v1/models
+

List all models.

+

Request​

+
+
+

Responses​

A ListModelsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-prompts.html b/docs/v0.3.0/docs/api/list-all-prompts.html new file mode 100644 index 00000000..6ba19494 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-prompts.html @@ -0,0 +1,26 @@ + + + + + +List all prompts. | Llama Stack + + + + + + + + + + + +

List all prompts.

+
GET 
/v1/prompts
+

List all prompts.

+

Request​

+
+
+

Responses​

A ListPromptsResponse containing all prompts.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-responses.html b/docs/v0.3.0/docs/api/list-all-responses.html new file mode 100644 index 00000000..3675582f --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-responses.html @@ -0,0 +1,26 @@ + + + + + +List all responses. | Llama Stack + + + + + + + + + + + +

List all responses.

+
GET 
/v1/responses
+

List all responses.

+

Request​

+
+
+

Responses​

A ListOpenAIResponseObject.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-scoring-functions.html b/docs/v0.3.0/docs/api/list-all-scoring-functions.html new file mode 100644 index 00000000..aca08ec0 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-scoring-functions.html @@ -0,0 +1,26 @@ + + + + + +List all scoring functions. | Llama Stack + + + + + + + + + + + +

List all scoring functions.

+
GET 
/v1/scoring-functions
+

List all scoring functions.

+

Request​

+
+
+

Responses​

A ListScoringFunctionsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-shields.html b/docs/v0.3.0/docs/api/list-all-shields.html new file mode 100644 index 00000000..def8c636 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-shields.html @@ -0,0 +1,26 @@ + + + + + +List all shields. | Llama Stack + + + + + + + + + + + +

List all shields.

+
GET 
/v1/shields
+

List all shields.

+

Request​

+
+
+

Responses​

A ListShieldsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-all-tools-in-the-runtime.html b/docs/v0.3.0/docs/api/list-all-tools-in-the-runtime.html new file mode 100644 index 00000000..f52ba5d7 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-all-tools-in-the-runtime.html @@ -0,0 +1,26 @@ + + + + + +List all tools in the runtime. | Llama Stack + + + + + + + + + + + +

List all tools in the runtime.

+
GET 
/v1/tool-runtime/list-tools
+

List all tools in the runtime.

+

Request​

+
+
+

Responses​

A ListToolDefsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-chat-completions.html b/docs/v0.3.0/docs/api/list-chat-completions.html new file mode 100644 index 00000000..471ba74a --- /dev/null +++ b/docs/v0.3.0/docs/api/list-chat-completions.html @@ -0,0 +1,26 @@ + + + + + +List chat completions. | Llama Stack + + + + + + + + + + + +

List chat completions.

+
GET 
/v1/chat/completions
+

List chat completions.

+

Request​

+
+
+

Responses​

A ListOpenAIChatCompletionResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-files-in-a-vector-store.html b/docs/v0.3.0/docs/api/list-files-in-a-vector-store.html new file mode 100644 index 00000000..94387ef9 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-files-in-a-vector-store.html @@ -0,0 +1,26 @@ + + + + + +List files in a vector store. | Llama Stack + + + + + + + + + + + +

List files in a vector store.

+
GET 
/v1/vector_stores/:vector_store_id/files
+

List files in a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreListFilesResponse containing the list of files.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-files.html b/docs/v0.3.0/docs/api/list-files.html new file mode 100644 index 00000000..9c364c2e --- /dev/null +++ b/docs/v0.3.0/docs/api/list-files.html @@ -0,0 +1,27 @@ + + + + + +List files. | Llama Stack + + + + + + + + + + + +

List files.

+
GET 
/v1/files
+

List files. +Returns a list of files that belong to the user's organization.

+

Request​

+
+
+

Responses​

An ListOpenAIFileResponse containing the list of files.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-input-items.html b/docs/v0.3.0/docs/api/list-input-items.html new file mode 100644 index 00000000..df4778af --- /dev/null +++ b/docs/v0.3.0/docs/api/list-input-items.html @@ -0,0 +1,26 @@ + + + + + +List input items. | Llama Stack + + + + + + + + + + + +

List input items.

+
GET 
/v1/responses/:response_id/input_items
+

List input items.

+

Request​

+
+
+

Responses​

An ListOpenAIResponseInputItem.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-items.html b/docs/v0.3.0/docs/api/list-items.html new file mode 100644 index 00000000..f71c440d --- /dev/null +++ b/docs/v0.3.0/docs/api/list-items.html @@ -0,0 +1,27 @@ + + + + + +List items. | Llama Stack + + + + + + + + + + + +

List items.

+
GET 
/v1/conversations/:conversation_id/items
+

List items. +List items in the conversation.

+

Request​

+
+
+

Responses​

List of conversation items.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-prompt-versions.html b/docs/v0.3.0/docs/api/list-prompt-versions.html new file mode 100644 index 00000000..7865a609 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-prompt-versions.html @@ -0,0 +1,27 @@ + + + + + +List prompt versions. | Llama Stack + + + + + + + + + + + +

List prompt versions.

+
GET 
/v1/prompts/:prompt_id/versions
+

List prompt versions. +List all versions of a specific prompt.

+

Request​

+
+
+

Responses​

A ListPromptsResponse containing all versions of the prompt.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-providers.html b/docs/v0.3.0/docs/api/list-providers.html new file mode 100644 index 00000000..881d70b6 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-providers.html @@ -0,0 +1,27 @@ + + + + + +List providers. | Llama Stack + + + + + + + + + + + +

List providers.

+
GET 
/v1/providers
+

List providers. +List all available providers.

+

Request​

+
+
+

Responses​

A ListProvidersResponse containing information about all providers.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-routes.html b/docs/v0.3.0/docs/api/list-routes.html new file mode 100644 index 00000000..18a0e402 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-routes.html @@ -0,0 +1,27 @@ + + + + + +List routes. | Llama Stack + + + + + + + + + + + +

List routes.

+
GET 
/v1/inspect/routes
+

List routes. +List all available API routes with their methods and implementing providers.

+

Request​

+
+
+

Responses​

Response containing information about all available routes.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-tool-groups-with-optional-provider.html b/docs/v0.3.0/docs/api/list-tool-groups-with-optional-provider.html new file mode 100644 index 00000000..910ca21f --- /dev/null +++ b/docs/v0.3.0/docs/api/list-tool-groups-with-optional-provider.html @@ -0,0 +1,26 @@ + + + + + +List tool groups with optional provider. | Llama Stack + + + + + + + + + + + +

List tool groups with optional provider.

+
GET 
/v1/toolgroups
+

List tool groups with optional provider.

+

Request​

+
+
+

Responses​

A ListToolGroupsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/list-tools-with-optional-tool-group.html b/docs/v0.3.0/docs/api/list-tools-with-optional-tool-group.html new file mode 100644 index 00000000..31310e35 --- /dev/null +++ b/docs/v0.3.0/docs/api/list-tools-with-optional-tool-group.html @@ -0,0 +1,26 @@ + + + + + +List tools with optional tool group. | Llama Stack + + + + + + + + + + + +

List tools with optional tool group.

+
GET 
/v1/tools
+

List tools with optional tool group.

+

Request​

+
+
+

Responses​

A ListToolDefsResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/llama-stack-specification.html b/docs/v0.3.0/docs/api/llama-stack-specification.html new file mode 100644 index 00000000..5b1ca210 --- /dev/null +++ b/docs/v0.3.0/docs/api/llama-stack-specification.html @@ -0,0 +1,27 @@ + + + + + +Llama Stack Specification | Llama Stack + + + + + + + + + + + +
Version: v1 +
+

Llama Stack Specification

+

This is the specification of the Llama Stack that provides +a set of endpoints and their corresponding interfaces that are +tailored to +best leverage Llama Models.

+

✅ STABLE: Production-ready APIs with backward compatibility guarantees.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/models.html b/docs/v0.3.0/docs/api/models.html new file mode 100644 index 00000000..5136394b --- /dev/null +++ b/docs/v0.3.0/docs/api/models.html @@ -0,0 +1,20 @@ + + + + + +Models | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/prompts.html b/docs/v0.3.0/docs/api/prompts.html new file mode 100644 index 00000000..b8872f3d --- /dev/null +++ b/docs/v0.3.0/docs/api/prompts.html @@ -0,0 +1,22 @@ + + + + + +Prompts | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/providers.html b/docs/v0.3.0/docs/api/providers.html new file mode 100644 index 00000000..aa3ce775 --- /dev/null +++ b/docs/v0.3.0/docs/api/providers.html @@ -0,0 +1,22 @@ + + + + + +Providers | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/query-chunks-from-a-vector-database.html b/docs/v0.3.0/docs/api/query-chunks-from-a-vector-database.html new file mode 100644 index 00000000..5856ff62 --- /dev/null +++ b/docs/v0.3.0/docs/api/query-chunks-from-a-vector-database.html @@ -0,0 +1,26 @@ + + + + + +Query chunks from a vector database. | Llama Stack + + + + + + + + + + + +

Query chunks from a vector database.

+
POST 
/v1/vector-io/query
+

Query chunks from a vector database.

+

Request​

+
+
+

Responses​

A QueryChunksResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent.html b/docs/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent.html new file mode 100644 index 00000000..b70b0795 --- /dev/null +++ b/docs/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent.html @@ -0,0 +1,26 @@ + + + + + +Query the RAG system for context; typically invoked by the agent. | Llama Stack + + + + + + + + + + + +

Query the RAG system for context; typically invoked by the agent.

+
POST 
/v1/tool-runtime/rag-tool/query
+

Query the RAG system for context; typically invoked by the agent.

+

Request​

+
+
+

Responses​

RAGQueryResult containing the retrieved content and metadata

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/register-a-scoring-function.html b/docs/v0.3.0/docs/api/register-a-scoring-function.html new file mode 100644 index 00000000..6ac1a46f --- /dev/null +++ b/docs/v0.3.0/docs/api/register-a-scoring-function.html @@ -0,0 +1,26 @@ + + + + + +Register a scoring function. | Llama Stack + + + + + + + + + + + +

Register a scoring function.

+
POST 
/v1/scoring-functions
+

Register a scoring function.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/register-a-shield.html b/docs/v0.3.0/docs/api/register-a-shield.html new file mode 100644 index 00000000..d9a37a50 --- /dev/null +++ b/docs/v0.3.0/docs/api/register-a-shield.html @@ -0,0 +1,26 @@ + + + + + +Register a shield. | Llama Stack + + + + + + + + + + + +

Register a shield.

+
POST 
/v1/shields
+

Register a shield.

+

Request​

+
+
+

Responses​

A Shield.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/register-a-tool-group.html b/docs/v0.3.0/docs/api/register-a-tool-group.html new file mode 100644 index 00000000..105c5e5f --- /dev/null +++ b/docs/v0.3.0/docs/api/register-a-tool-group.html @@ -0,0 +1,26 @@ + + + + + +Register a tool group. | Llama Stack + + + + + + + + + + + +

Register a tool group.

+
POST 
/v1/toolgroups
+

Register a tool group.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/register-model.html b/docs/v0.3.0/docs/api/register-model.html new file mode 100644 index 00000000..4e7241aa --- /dev/null +++ b/docs/v0.3.0/docs/api/register-model.html @@ -0,0 +1,27 @@ + + + + + +Register model. | Llama Stack + + + + + + + + + + + +

Register model.

+
POST 
/v1/models
+

Register model. +Register a model.

+

Request​

+
+
+

Responses​

A Model.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieve-a-conversation.html b/docs/v0.3.0/docs/api/retrieve-a-conversation.html new file mode 100644 index 00000000..1c6d8e11 --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieve-a-conversation.html @@ -0,0 +1,27 @@ + + + + + +Retrieve a conversation. | Llama Stack + + + + + + + + + + + +

Retrieve a conversation.

+
GET 
/v1/conversations/:conversation_id
+

Retrieve a conversation. +Get a conversation with the given ID.

+

Request​

+
+
+

Responses​

The conversation object.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieve-a-vector-store-file-batch.html b/docs/v0.3.0/docs/api/retrieve-a-vector-store-file-batch.html new file mode 100644 index 00000000..73ffe54e --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieve-a-vector-store-file-batch.html @@ -0,0 +1,26 @@ + + + + + +Retrieve a vector store file batch. | Llama Stack + + + + + + + + + + + +

Retrieve a vector store file batch.

+
GET 
/v1/vector_stores/:vector_store_id/file_batches/:batch_id
+

Retrieve a vector store file batch.

+

Request​

+
+
+

Responses​

A VectorStoreFileBatchObject representing the file batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieve-an-item.html b/docs/v0.3.0/docs/api/retrieve-an-item.html new file mode 100644 index 00000000..d438b301 --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieve-an-item.html @@ -0,0 +1,27 @@ + + + + + +Retrieve an item. | Llama Stack + + + + + + + + + + + +

Retrieve an item.

+
GET 
/v1/conversations/:conversation_id/items/:item_id
+

Retrieve an item. +Retrieve a conversation item.

+

Request​

+
+
+

Responses​

The conversation item.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieve-file-content.html b/docs/v0.3.0/docs/api/retrieve-file-content.html new file mode 100644 index 00000000..bf23a1ea --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieve-file-content.html @@ -0,0 +1,27 @@ + + + + + +Retrieve file content. | Llama Stack + + + + + + + + + + + +

Retrieve file content.

+
GET 
/v1/files/:file_id/content
+

Retrieve file content. +Returns the contents of the specified file.

+

Request​

+
+
+

Responses​

The raw file content as a binary response.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieve-file.html b/docs/v0.3.0/docs/api/retrieve-file.html new file mode 100644 index 00000000..83c2864e --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieve-file.html @@ -0,0 +1,27 @@ + + + + + +Retrieve file. | Llama Stack + + + + + + + + + + + +

Retrieve file.

+
GET 
/v1/files/:file_id
+

Retrieve file. +Returns information about a specific file.

+

Request​

+
+
+

Responses​

An OpenAIFileObject containing file information.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieves-a-vector-store-file.html b/docs/v0.3.0/docs/api/retrieves-a-vector-store-file.html new file mode 100644 index 00000000..9da02ab3 --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieves-a-vector-store-file.html @@ -0,0 +1,26 @@ + + + + + +Retrieves a vector store file. | Llama Stack + + + + + + + + + + + +

Retrieves a vector store file.

+
GET 
/v1/vector_stores/:vector_store_id/files/:file_id
+

Retrieves a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieves-a-vector-store.html b/docs/v0.3.0/docs/api/retrieves-a-vector-store.html new file mode 100644 index 00000000..1366f69b --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieves-a-vector-store.html @@ -0,0 +1,26 @@ + + + + + +Retrieves a vector store. | Llama Stack + + + + + + + + + + + +

Retrieves a vector store.

+
GET 
/v1/vector_stores/:vector_store_id
+

Retrieves a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file.html b/docs/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file.html new file mode 100644 index 00000000..35c2b4e6 --- /dev/null +++ b/docs/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file.html @@ -0,0 +1,26 @@ + + + + + +Retrieves the contents of a vector store file. | Llama Stack + + + + + + + + + + + +

Retrieves the contents of a vector store file.

+
GET 
/v1/vector_stores/:vector_store_id/files/:file_id/content
+

Retrieves the contents of a vector store file.

+

Request​

+
+
+

Responses​

A list of InterleavedContent representing the file contents.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch.html b/docs/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch.html new file mode 100644 index 00000000..b0113abf --- /dev/null +++ b/docs/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch.html @@ -0,0 +1,26 @@ + + + + + +Returns a list of vector store files in a batch. | Llama Stack + + + + + + + + + + + +

Returns a list of vector store files in a batch.

+
GET 
/v1/vector_stores/:vector_store_id/file_batches/:batch_id/files
+

Returns a list of vector store files in a batch.

+

Request​

+
+
+

Responses​

A VectorStoreFilesListInBatchResponse containing the list of files in the batch.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/returns-a-list-of-vector-stores.html b/docs/v0.3.0/docs/api/returns-a-list-of-vector-stores.html new file mode 100644 index 00000000..821e470b --- /dev/null +++ b/docs/v0.3.0/docs/api/returns-a-list-of-vector-stores.html @@ -0,0 +1,26 @@ + + + + + +Returns a list of vector stores. | Llama Stack + + + + + + + + + + + +

Returns a list of vector stores.

+
GET 
/v1/vector_stores
+

Returns a list of vector stores.

+

Request​

+
+
+

Responses​

A VectorStoreListResponse containing the list of vector stores.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/run-a-tool-with-the-given-arguments.html b/docs/v0.3.0/docs/api/run-a-tool-with-the-given-arguments.html new file mode 100644 index 00000000..a31935d6 --- /dev/null +++ b/docs/v0.3.0/docs/api/run-a-tool-with-the-given-arguments.html @@ -0,0 +1,26 @@ + + + + + +Run a tool with the given arguments. | Llama Stack + + + + + + + + + + + +

Run a tool with the given arguments.

+
POST 
/v1/tool-runtime/invoke
+

Run a tool with the given arguments.

+

Request​

+
+
+

Responses​

A ToolInvocationResult.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/run-shield.html b/docs/v0.3.0/docs/api/run-shield.html new file mode 100644 index 00000000..4e83481b --- /dev/null +++ b/docs/v0.3.0/docs/api/run-shield.html @@ -0,0 +1,27 @@ + + + + + +Run shield. | Llama Stack + + + + + + + + + + + +

Run shield.

+
POST 
/v1/safety/run-shield
+

Run shield. +Run a shield.

+

Request​

+
+
+

Responses​

A RunShieldResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/safety.html b/docs/v0.3.0/docs/api/safety.html new file mode 100644 index 00000000..ba1d3de8 --- /dev/null +++ b/docs/v0.3.0/docs/api/safety.html @@ -0,0 +1,22 @@ + + + + + +Safety | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/score-a-batch-of-rows.html b/docs/v0.3.0/docs/api/score-a-batch-of-rows.html new file mode 100644 index 00000000..329f1b7d --- /dev/null +++ b/docs/v0.3.0/docs/api/score-a-batch-of-rows.html @@ -0,0 +1,26 @@ + + + + + +Score a batch of rows. | Llama Stack + + + + + + + + + + + +

Score a batch of rows.

+
POST 
/v1/scoring/score-batch
+

Score a batch of rows.

+

Request​

+
+
+

Responses​

A ScoreBatchResponse.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/score-a-list-of-rows.html b/docs/v0.3.0/docs/api/score-a-list-of-rows.html new file mode 100644 index 00000000..92d7b321 --- /dev/null +++ b/docs/v0.3.0/docs/api/score-a-list-of-rows.html @@ -0,0 +1,26 @@ + + + + + +Score a list of rows. | Llama Stack + + + + + + + + + + + +

Score a list of rows.

+
POST 
/v1/scoring/score
+

Score a list of rows.

+

Request​

+
+
+

Responses​

A ScoreResponse object containing rows and aggregated results.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/scoring-functions.html b/docs/v0.3.0/docs/api/scoring-functions.html new file mode 100644 index 00000000..727f8020 --- /dev/null +++ b/docs/v0.3.0/docs/api/scoring-functions.html @@ -0,0 +1,20 @@ + + + + + +ScoringFunctions | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/scoring.html b/docs/v0.3.0/docs/api/scoring.html new file mode 100644 index 00000000..1b814b73 --- /dev/null +++ b/docs/v0.3.0/docs/api/scoring.html @@ -0,0 +1,20 @@ + + + + + +Scoring | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/search-for-chunks-in-a-vector-store.html b/docs/v0.3.0/docs/api/search-for-chunks-in-a-vector-store.html new file mode 100644 index 00000000..0b2f9b28 --- /dev/null +++ b/docs/v0.3.0/docs/api/search-for-chunks-in-a-vector-store.html @@ -0,0 +1,27 @@ + + + + + +Search for chunks in a vector store. | Llama Stack + + + + + + + + + + + +

Search for chunks in a vector store.

+
POST 
/v1/vector_stores/:vector_store_id/search
+

Search for chunks in a vector store. +Searches a vector store for relevant chunks based on a query and optional file attribute filters.

+

Request​

+
+
+

Responses​

A VectorStoreSearchResponse containing the search results.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/set-prompt-version.html b/docs/v0.3.0/docs/api/set-prompt-version.html new file mode 100644 index 00000000..80116ca6 --- /dev/null +++ b/docs/v0.3.0/docs/api/set-prompt-version.html @@ -0,0 +1,27 @@ + + + + + +Set prompt version. | Llama Stack + + + + + + + + + + + +

Set prompt version.

+
POST 
/v1/prompts/:prompt_id/set-default-version
+

Set prompt version. +Set which version of a prompt should be the default in get_prompt (latest).

+

Request​

+
+
+

Responses​

The prompt with the specified version now set as default.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/shields.html b/docs/v0.3.0/docs/api/shields.html new file mode 100644 index 00000000..2ec01098 --- /dev/null +++ b/docs/v0.3.0/docs/api/shields.html @@ -0,0 +1,20 @@ + + + + + +Shields | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/synthetic-data-generation-coming-soon.html b/docs/v0.3.0/docs/api/synthetic-data-generation-coming-soon.html new file mode 100644 index 00000000..64a686b9 --- /dev/null +++ b/docs/v0.3.0/docs/api/synthetic-data-generation-coming-soon.html @@ -0,0 +1,20 @@ + + + + + +SyntheticDataGeneration (Coming Soon) | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/tool-groups.html b/docs/v0.3.0/docs/api/tool-groups.html new file mode 100644 index 00000000..93e8b391 --- /dev/null +++ b/docs/v0.3.0/docs/api/tool-groups.html @@ -0,0 +1,20 @@ + + + + + +ToolGroups | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/tool-runtime.html b/docs/v0.3.0/docs/api/tool-runtime.html new file mode 100644 index 00000000..84b6039d --- /dev/null +++ b/docs/v0.3.0/docs/api/tool-runtime.html @@ -0,0 +1,20 @@ + + + + + +ToolRuntime | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/unregister-a-scoring-function.html b/docs/v0.3.0/docs/api/unregister-a-scoring-function.html new file mode 100644 index 00000000..b16c5696 --- /dev/null +++ b/docs/v0.3.0/docs/api/unregister-a-scoring-function.html @@ -0,0 +1,26 @@ + + + + + +Unregister a scoring function. | Llama Stack + + + + + + + + + + + +

Unregister a scoring function.

+
DELETE 
/v1/scoring-functions/:scoring_fn_id
+

Unregister a scoring function.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/unregister-a-shield.html b/docs/v0.3.0/docs/api/unregister-a-shield.html new file mode 100644 index 00000000..5ae015f4 --- /dev/null +++ b/docs/v0.3.0/docs/api/unregister-a-shield.html @@ -0,0 +1,26 @@ + + + + + +Unregister a shield. | Llama Stack + + + + + + + + + + + +

Unregister a shield.

+
DELETE 
/v1/shields/:identifier
+

Unregister a shield.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/unregister-a-tool-group.html b/docs/v0.3.0/docs/api/unregister-a-tool-group.html new file mode 100644 index 00000000..e4b45d73 --- /dev/null +++ b/docs/v0.3.0/docs/api/unregister-a-tool-group.html @@ -0,0 +1,26 @@ + + + + + +Unregister a tool group. | Llama Stack + + + + + + + + + + + +

Unregister a tool group.

+
DELETE 
/v1/toolgroups/:toolgroup_id
+

Unregister a tool group.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/unregister-model.html b/docs/v0.3.0/docs/api/unregister-model.html new file mode 100644 index 00000000..dce895e5 --- /dev/null +++ b/docs/v0.3.0/docs/api/unregister-model.html @@ -0,0 +1,27 @@ + + + + + +Unregister model. | Llama Stack + + + + + + + + + + + +

Unregister model.

+
DELETE 
/v1/models/:model_id
+

Unregister model. +Unregister a model.

+

Request​

+
+
+

Responses​

OK

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/update-a-conversation.html b/docs/v0.3.0/docs/api/update-a-conversation.html new file mode 100644 index 00000000..323f4893 --- /dev/null +++ b/docs/v0.3.0/docs/api/update-a-conversation.html @@ -0,0 +1,27 @@ + + + + + +Update a conversation. | Llama Stack + + + + + + + + + + + +

Update a conversation.

+
POST 
/v1/conversations/:conversation_id
+

Update a conversation. +Update a conversation's metadata with the given ID.

+

Request​

+
+
+

Responses​

The updated conversation object.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/update-prompt.html b/docs/v0.3.0/docs/api/update-prompt.html new file mode 100644 index 00000000..5afed6c0 --- /dev/null +++ b/docs/v0.3.0/docs/api/update-prompt.html @@ -0,0 +1,27 @@ + + + + + +Update prompt. | Llama Stack + + + + + + + + + + + +

Update prompt.

+
POST 
/v1/prompts/:prompt_id
+

Update prompt. +Update an existing prompt (increments version).

+

Request​

+
+
+

Responses​

The updated Prompt resource with incremented version.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/updates-a-vector-store-file.html b/docs/v0.3.0/docs/api/updates-a-vector-store-file.html new file mode 100644 index 00000000..8517bbda --- /dev/null +++ b/docs/v0.3.0/docs/api/updates-a-vector-store-file.html @@ -0,0 +1,26 @@ + + + + + +Updates a vector store file. | Llama Stack + + + + + + + + + + + +

Updates a vector store file.

+
POST 
/v1/vector_stores/:vector_store_id/files/:file_id
+

Updates a vector store file.

+

Request​

+
+
+

Responses​

A VectorStoreFileObject representing the updated file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/updates-a-vector-store.html b/docs/v0.3.0/docs/api/updates-a-vector-store.html new file mode 100644 index 00000000..8d7f6594 --- /dev/null +++ b/docs/v0.3.0/docs/api/updates-a-vector-store.html @@ -0,0 +1,26 @@ + + + + + +Updates a vector store. | Llama Stack + + + + + + + + + + + +

Updates a vector store.

+
POST 
/v1/vector_stores/:vector_store_id
+

Updates a vector store.

+

Request​

+
+
+

Responses​

A VectorStoreObject representing the updated vector store.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/upload-file.html b/docs/v0.3.0/docs/api/upload-file.html new file mode 100644 index 00000000..0e21212f --- /dev/null +++ b/docs/v0.3.0/docs/api/upload-file.html @@ -0,0 +1,33 @@ + + + + + +Upload file. | Llama Stack + + + + + + + + + + + +

Upload file.

+
POST 
/v1/files
+

Upload file. +Upload a file that can be used across various endpoints.

+

The file upload should be a multipart form request with:

+
    +
  • file: The File object (not file name) to be uploaded.
    • +
  • purpose: The intended purpose of the uploaded file.
    • +
  • expires_after: Optional form values describing expiration for the file.
    • +
+

Request​

+
+
+

Responses​

An OpenAIFileObject representing the uploaded file.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/api/vector-io.html b/docs/v0.3.0/docs/api/vector-io.html new file mode 100644 index 00000000..5a768ef5 --- /dev/null +++ b/docs/v0.3.0/docs/api/vector-io.html @@ -0,0 +1,20 @@ + + + + + +VectorIO | Llama Stack + + + + + + + + + + + +

VectorIO

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications.html b/docs/v0.3.0/docs/building_applications.html new file mode 100644 index 00000000..b04c7036 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications.html @@ -0,0 +1,97 @@ + + + + + +Building Applications | Llama Stack + + + + + + + + + + + +

AI Application Examples

+

Llama Stack provides all the building blocks needed to create sophisticated AI applications.

+

Getting Started​

+

The best way to get started is to look at this comprehensive notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them.

+

📓 Building AI Applications Notebook

+

Core Topics​

+

Here are the key topics that will help you build effective AI applications:

+

🤖 Agent Development​

+ +

📚 Knowledge Integration​

+ +

🛠️ Capabilities & Extensions​

+
    +
  • Tools - Extend your agents' capabilities by integrating with external tools and APIs
    • +
+

📊 Quality & Monitoring​

+
    +
  • Evaluations - Evaluate your agents' effectiveness and identify areas for improvement
    • +
  • Telemetry - Monitor and analyze your agents' performance and behavior
    • +
  • Safety - Implement guardrails and safety measures to ensure responsible AI behavior
    • +
+

🎮 Interactive Development​

+
    +
  • Playground - Interactive environment for testing and developing applications
    • +
+

Application Patterns​

+

🤖 Conversational Agents​

+

Build intelligent chatbots and assistants that can:

+
    +
  • Maintain context across conversations
    • +
  • Access external knowledge bases
    • +
  • Execute actions through tool integrations
    • +
  • Apply safety filters and guardrails
    • +
+

📖 RAG Applications​

+

Create knowledge-augmented applications that:

+
    +
  • Retrieve relevant information from documents
    • +
  • Generate contextually accurate responses
    • +
  • Handle large knowledge bases efficiently
    • +
  • Provide source attribution
    • +
+

🔧 Tool-Enhanced Systems​

+

Develop applications that can:

+
    +
  • Search the web for real-time information
    • +
  • Interact with databases and APIs
    • +
  • Perform calculations and analysis
    • +
  • Execute complex multi-step workflows
    • +
+

🛡️ Enterprise Applications​

+

Build production-ready systems with:

+
    +
  • Comprehensive safety measures
    • +
  • Performance monitoring and analytics
    • +
  • Scalable deployment configurations
    • +
  • Evaluation and quality assurance
    • +
+

Next Steps​

+
    +
  1. 📖 Start with the Notebook - Work through the complete tutorial
    2. +
  2. 🎯 Choose Your Pattern - Pick the application type that matches your needs
    3. +
  3. 🏗️ Build Your Foundation - Set up your providers and distributions
    4. +
  4. 🚀 Deploy & Monitor - Use our deployment guides for production
    5. +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/agent.html b/docs/v0.3.0/docs/building_applications/agent.html new file mode 100644 index 00000000..93e7145c --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/agent.html @@ -0,0 +1,59 @@ + + + + + +Agents | Llama Stack + + + + + + + + + + + +

Agents

+

An Agent in Llama Stack is a powerful abstraction that allows you to build complex AI applications.

+

The Llama Stack agent framework is built on a modular architecture that allows for flexible and powerful AI applications. This document explains the key components and how they work together.

+

Core Concepts​

+

1. Agent Configuration​

+

Agents are configured using the AgentConfig class, which includes:

+
    +
  • Model: The underlying LLM to power the agent
    • +
  • Instructions: System prompt that defines the agent's behavior
    • +
  • Tools: Capabilities the agent can use to interact with external systems
    • +
  • Safety Shields: Guardrails to ensure responsible AI behavior
    • +
+
from llama_stack_client import Agent

# Create the agent
agent = Agent(
    llama_stack_client,
    model="meta-llama/Llama-3-70b-chat",
    instructions="You are a helpful assistant that can use tools to answer questions.",
    tools=["builtin::code_interpreter", "builtin::rag/knowledge_search"],
)
+

2. Sessions​

+

Agents maintain state through sessions, which represent a conversation thread:

+
# Create a session
session_id = agent.create_session(session_name="My conversation")
+

3. Turns​

+

Each interaction with an agent is called a "turn" and consists of:

+
    +
  • Input Messages: What the user sends to the agent
    • +
  • Steps: The agent's internal processing (inference, tool execution, etc.)
    • +
  • Output Message: The agent's response
    • +
+
from llama_stack_client import AgentEventLogger

# Create a turn with streaming response
turn_response = agent.create_turn(
    session_id=session_id,
    messages=[{"role": "user", "content": "Tell me about Llama models"}],
)
for log in AgentEventLogger().log(turn_response):
    log.print()
+

4. Steps​

+

Each turn consists of multiple steps that represent the agent's thought process:

+
    +
  • Inference Steps: The agent generating text responses
    • +
  • Tool Execution Steps: The agent using tools to gather information
    • +
  • Shield Call Steps: Safety checks being performed
    • +
+

Agent Execution Loop​

+

Refer to the Agent Execution Loop for more details on what happens within an agent turn.

+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/agent_execution_loop.html b/docs/v0.3.0/docs/building_applications/agent_execution_loop.html new file mode 100644 index 00000000..77e41cd3 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/agent_execution_loop.html @@ -0,0 +1,90 @@ + + + + + +Agent Execution Loop | Llama Stack + + + + + + + + + + + +

Agent Execution Loop

+

Agents are the heart of Llama Stack applications. They combine inference, memory, safety, and tool usage into coherent workflows. At its core, an agent follows a sophisticated execution loop that enables multi-step reasoning, tool usage, and safety checks.

+

Steps in the Agent Workflow​

+

Each agent turn follows these key steps:

+
    +
  1. +

    Initial Safety Check: The user's input is first screened through configured safety shields

    +
    2. +
  2. +

    Context Retrieval:

    +
      +
    • If RAG is enabled, the agent can choose to query relevant documents from memory banks. You can use the instructions field to steer the agent.
      • +
    • For new documents, they are first inserted into the memory bank.
      • +
    • Retrieved context is provided to the LLM as a tool response in the message history.
      • +
    +
    3. +
  3. +

    Inference Loop: The agent enters its main execution loop:

    +
      +
    • The LLM receives a user prompt (with previous tool outputs)
      • +
    • The LLM generates a response, potentially with tool calls
      • +
    • If tool calls are present: +
        +
      • Tool inputs are safety-checked
        • +
      • Tools are executed (e.g., web search, code execution)
        • +
      • Tool responses are fed back to the LLM for synthesis
        • +
      +
      • +
    • The loop continues until: +
        +
      • The LLM provides a final response without tool calls
        • +
      • Maximum iterations are reached
        • +
      • Token limit is exceeded
        • +
      +
      • +
    +
    4. +
  4. +

    Final Safety Check: The agent's final response is screened through safety shields

    +
    5. +
+

Execution Flow Diagram​

+
sequenceDiagram
    participant U as User
    participant E as Executor
    participant M as Memory Bank
    participant L as LLM
    participant T as Tools
    participant S as Safety Shield

    Note over U,S: Agent Turn Start
    U->>S: 1. Submit Prompt
    activate S
    S->>E: Input Safety Check
    deactivate S

    loop Inference Loop
        E->>L: 2.1 Augment with Context
        L-->>E: 2.2 Response (with/without tool calls)

        alt Has Tool Calls
            E->>S: Check Tool Input
            S->>T: 3.1 Execute Tool
            T-->>E: 3.2 Tool Response
            E->>L: 4.1 Tool Response
            L-->>E: 4.2 Synthesized Response
        end

        opt Stop Conditions
            Note over E: Break if:
            Note over E: - No tool calls
            Note over E: - Max iterations reached
            Note over E: - Token limit exceeded
        end
    end

    E->>S: Output Safety Check
    S->>U: 5. Final Response
+

Each step in this process can be monitored and controlled through configurations.

+

Agent Execution Example​

+

Here's an example that demonstrates monitoring the agent's execution:

+
from llama_stack_client import LlamaStackClient, Agent, AgentEventLogger

# Replace host and port
client = LlamaStackClient(base_url=f"http://{HOST}:{PORT}")

agent = Agent(
    client,
    # Check with `llama-stack-client models list`
    model="Llama3.2-3B-Instruct",
    instructions="You are a helpful assistant",
    # Enable both RAG and tool usage
    tools=[
        {
            "name": "builtin::rag/knowledge_search",
            "args": {"vector_db_ids": ["my_docs"]},
        },
        "builtin::code_interpreter",
    ],
    # Configure safety (optional)
    input_shields=["llama_guard"],
    output_shields=["llama_guard"],
    # Control the inference loop
    max_infer_iters=5,
    sampling_params={
        "strategy": {"type": "top_p", "temperature": 0.7, "top_p": 0.95},
        "max_tokens": 2048,
    },
)
session_id = agent.create_session("monitored_session")

# Stream the agent's execution steps
response = agent.create_turn(
    messages=[{"role": "user", "content": "Analyze this code and run it"}],
    documents=[
        {
            "content": "https://raw.githubusercontent.com/example/code.py",
            "mime_type": "text/plain",
        }
    ],
    session_id=session_id,
)

# Monitor each step of execution
for log in AgentEventLogger().log(response):
    log.print()
+

Key Configuration Options​

+

Loop Control​

+
    +
  • max_infer_iters: Maximum number of inference iterations (default: 5)
    • +
  • max_tokens: Token limit for responses
    • +
  • temperature: Controls response randomness
    • +
+

Safety Configuration​

+
    +
  • input_shields: Safety checks for user input
    • +
  • output_shields: Safety checks for agent responses
    • +
+

Tool Integration​

+
    +
  • tools: List of available tools for the agent
    • +
  • tool_choice: Control over when tools are used
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/evals.html b/docs/v0.3.0/docs/building_applications/evals.html new file mode 100644 index 00000000..7802fb93 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/evals.html @@ -0,0 +1,96 @@ + + + + + +Evaluations | Llama Stack + + + + + + + + + + + +

Evaluations

This guide walks you through the process of evaluating an LLM application built using Llama Stack. For detailed API reference, check out the Evaluation Reference guide that covers the complete set of APIs and developer experience flow.

+
Interactive Examples

Check out our Colab notebook for working examples with evaluations, or try the Getting Started notebook.

+

Application Evaluation Example​

+

Open In Colab

+

Llama Stack offers a library of scoring functions and the /scoring API, allowing you to run evaluations on your pre-annotated AI application datasets.

+

In this example, we will show you how to:

+
    +
  1. Build an Agent with Llama Stack
    2. +
  2. Query the agent's sessions, turns, and steps to analyze execution
    3. +
  3. Evaluate the results using scoring functions
    4. +
+

Step-by-Step Evaluation Process​

+

1. Building a Search Agent​

+

First, let's create an agent that can search the web to answer questions:

+
from llama_stack_client import LlamaStackClient, Agent, AgentEventLogger

client = LlamaStackClient(base_url=f"http://{HOST}:{PORT}")

agent = Agent(
    client,
    model="meta-llama/Llama-3.3-70B-Instruct",
    instructions="You are a helpful assistant. Use search tool to answer the questions.",
    tools=["builtin::websearch"],
)

# Test prompts for evaluation
user_prompts = [
    "Which teams played in the NBA Western Conference Finals of 2024. Search the web for the answer.",
    "In which episode and season of South Park does Bill Cosby (BSM-471) first appear? Give me the number and title. Search the web for the answer.",
    "What is the British-American kickboxer Andrew Tate's kickboxing name? Search the web for the answer.",
]

session_id = agent.create_session("test-session")

# Execute all prompts in the session
for prompt in user_prompts:
    response = agent.create_turn(
        messages=[
            {
                "role": "user",
                "content": prompt,
            }
        ],
        session_id=session_id,
    )

    for log in AgentEventLogger().log(response):
        log.print()
+

2. Query Agent Execution Steps​

+

Now, let's analyze the agent's execution steps to understand its performance:

+
from rich.pretty import pprint

# Query the agent's session to get detailed execution data
session_response = client.agents.session.retrieve(
    session_id=session_id,
    agent_id=agent.agent_id,
)

pprint(session_response)
+

3. Evaluate Agent Responses​

+

Now we'll evaluate the agent's responses using Llama Stack's scoring API:

+
# Process agent execution history into evaluation rows
eval_rows = []

# Define expected answers for our test prompts
expected_answers = [
    "Dallas Mavericks and the Minnesota Timberwolves",
    "Season 4, Episode 12",
    "King Cobra",
]

# Create evaluation dataset from agent responses
for i, turn in enumerate(session_response.turns):
    eval_rows.append(
        {
            "input_query": turn.input_messages[0].content,
            "generated_answer": turn.output_message.content,
            "expected_answer": expected_answers[i],
        }
    )

pprint(eval_rows)
+

Available Scoring Functions​

+

Llama Stack provides several built-in scoring functions:

+

Basic Scoring Functions​

+
    +
  • basic::subset_of: Checks if the expected answer is contained in the generated response
    • +
  • basic::exact_match: Performs exact string matching between expected and generated answers
    • +
  • basic::regex_match: Uses regular expressions to match patterns in responses
    • +
+

Advanced Scoring Functions​

+
    +
  • llm_as_judge::accuracy: Uses an LLM to judge response accuracy
    • +
  • llm_as_judge::helpfulness: Evaluates how helpful the response is
    • +
  • llm_as_judge::safety: Assesses response safety and appropriateness
    • +
+

Custom Scoring Functions​

+

You can also create custom scoring functions for domain-specific evaluation needs.

+

Evaluation Workflow Best Practices​

+

🎯 Dataset Preparation​

+
    +
  • Use diverse test cases that cover edge cases and common scenarios
    • +
  • Include clear expected answers or success criteria
    • +
  • Balance your dataset across different difficulty levels
    • +
+

📊 Metrics Selection​

+
    +
  • Choose appropriate scoring functions for your use case
    • +
  • Combine multiple metrics for comprehensive evaluation
    • +
  • Consider both automated and human evaluation metrics
    • +
+

🔄 Iterative Improvement​

+
    +
  • Run evaluations regularly during development
    • +
  • Use evaluation results to identify areas for improvement
    • +
  • Track performance changes over time
    • +
+

📈 Analysis & Reporting​

+
    +
  • Analyze failures to understand model limitations
    • +
  • Generate comprehensive evaluation reports
    • +
  • Share results with stakeholders for informed decision-making
    • +
+

Advanced Evaluation Scenarios​

+

Batch Evaluation​

+

For evaluating large datasets efficiently:

+
# Prepare large evaluation dataset
large_eval_dataset = [
    {"input_query": query, "expected_answer": answer}
    for query, answer in zip(queries, expected_answers)
]

# Run batch evaluation
batch_results = client.scoring.score(
    input_rows=large_eval_dataset,
    scoring_functions={
        "basic::subset_of": None,
        "llm_as_judge::accuracy": {"judge_model": "meta-llama/Llama-3.3-70B-Instruct"},
    }
)
+

Multi-Metric Evaluation​

+

Combining different scoring approaches:

+
comprehensive_scoring = {
    "exact_match": "basic::exact_match",
    "subset_match": "basic::subset_of",
    "llm_judge": "llm_as_judge::accuracy",
    "safety_check": "llm_as_judge::safety",
}

results = client.scoring.score(
    input_rows=eval_rows,
    scoring_functions=comprehensive_scoring
)
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/playground.html b/docs/v0.3.0/docs/building_applications/playground.html new file mode 100644 index 00000000..e6f6e9e9 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/playground.html @@ -0,0 +1,156 @@ + + + + + +Llama Stack Playground | Llama Stack + + + + + + + + + + + +

Llama Stack Playground

+
Experimental Feature

The Llama Stack Playground is currently experimental and subject to change. We welcome feedback and contributions to help improve it.

+

The Llama Stack Playground is a simple interface that aims to:

+
    +
  • Showcase capabilities and concepts of Llama Stack in an interactive environment
    • +
  • Demo end-to-end application code to help users get started building their own applications
    • +
  • Provide a UI to help users inspect and understand Llama Stack API providers and resources
    • +
+

Key Features​

+

Interactive Playground Pages​

+

The playground provides interactive pages for users to explore Llama Stack API capabilities:

+

Chatbot Interface​

+ +

Simple Chat Interface

    +
  • Chat directly with Llama models through an intuitive interface
    • +
  • Uses the /chat/completions streaming API under the hood
    • +
  • Real-time message streaming for responsive interactions
    • +
  • Perfect for testing model capabilities and prompt engineering
    • +
+

Evaluation Interface​

+ +

Custom Dataset Evaluation

    +
  • Upload your own evaluation datasets
    • +
  • Run evaluations using available scoring functions
    • +
  • Uses Llama Stack's /scoring API for flexible evaluation workflows
    • +
  • Great for testing application performance on custom metrics
    • +
+

Inspection Interface​

+ +

Provider Management

    +
  • Inspect available Llama Stack API providers
    • +
  • View provider configurations and capabilities
    • +
  • Uses the /providers API for real-time provider information
    • +
  • Essential for understanding your deployment's capabilities
    • +
+

Getting Started​

+

Quick Start Guide​

+

1. Start the Llama Stack API Server

llama stack list-deps together | xargs -L1 uv pip install
llama stack run together

2. Start the Streamlit UI

# Launch the playground interface
uv run --with ".[ui]" streamlit run llama_stack.core/ui/app.py
+

Available Distributions​

+

The playground works with any Llama Stack distribution. Popular options include:

+
llama stack list-deps together | xargs -L1 uv pip install
llama stack run together

Features:

    +
  • Cloud-hosted models
    • +
  • Fast inference
    • +
  • Multiple model options
    • +
+

Use Cases & Examples​

+

Educational Use Cases​

+
    +
  • Learning Llama Stack: Hands-on exploration of API capabilities
    • +
  • Prompt Engineering: Interactive testing of different prompting strategies
    • +
  • RAG Experimentation: Understanding how document retrieval affects responses
    • +
  • Evaluation Understanding: See how different metrics evaluate model performance
    • +
+

Development Use Cases​

+
    +
  • Prototype Testing: Quick validation of application concepts
    • +
  • API Exploration: Understanding available endpoints and parameters
    • +
  • Integration Planning: Seeing how different components work together
    • +
  • Demo Creation: Showcasing Llama Stack capabilities to stakeholders
    • +
+

Research Use Cases​

+
    +
  • Model Comparison: Side-by-side testing of different models
    • +
  • Evaluation Design: Understanding how scoring functions work
    • +
  • Safety Testing: Exploring shield effectiveness with different inputs
    • +
  • Performance Analysis: Measuring model behavior across different scenarios
    • +
+

Best Practices​

+

🚀 Getting Started​

+
    +
  • Begin with simple chat interactions to understand basic functionality
    • +
  • Gradually explore more advanced features like RAG and evaluations
    • +
  • Use the inspection tools to understand your deployment's capabilities
    • +
+

🔧 Development Workflow​

+
    +
  • Use the playground to prototype before writing application code
    • +
  • Test different parameter settings interactively
    • +
  • Validate evaluation approaches before implementing them programmatically
    • +
+

📊 Evaluation & Testing​

+
    +
  • Start with simple scoring functions before trying complex evaluations
    • +
  • Use the playground to understand evaluation results before automation
    • +
  • Test safety features with various input types
    • +
+

🎯 Production Preparation​

+
    +
  • Use playground insights to inform your production API usage
    • +
  • Test edge cases and error conditions interactively
    • +
  • Validate resource configurations before deployment
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/rag.html b/docs/v0.3.0/docs/building_applications/rag.html new file mode 100644 index 00000000..b5ec827b --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/rag.html @@ -0,0 +1,52 @@ + + + + + +Retrieval Augmented Generation (RAG) | Llama Stack + + + + + + + + + + + +

Retrieval Augmented Generation (RAG)

+

RAG enables your applications to reference and recall information from external documents. Llama Stack makes Agentic RAG available through OpenAI's Responses API.

+

Quick Start​

+

1. Start the Server​

+

In one terminal, start the Llama Stack server:

+
llama stack list-deps starter | xargs -L1 uv pip install
llama stack run starter
+

2. Connect with OpenAI Client​

+

In another terminal, use the standard OpenAI client with the Responses API:

+
import io, requests
from openai import OpenAI

url = "https://www.paulgraham.com/greatwork.html"
client = OpenAI(base_url="http://localhost:8321/v1/", api_key="none")

# Create vector store - auto-detects default embedding model
vs = client.vector_stores.create()

response = requests.get(url)
pseudo_file = io.BytesIO(str(response.content).encode('utf-8'))
file_id = client.files.create(file=(url, pseudo_file, "text/html"), purpose="assistants").id
client.vector_stores.files.create(vector_store_id=vs.id, file_id=file_id)

resp = client.responses.create(
    model="gpt-4o",
    input="How do you do great work? Use the existing knowledge_search tool.",
    tools=[{"type": "file_search", "vector_store_ids": [vs.id]}],
    include=["file_search_call.results"],
)

print(resp.output[-1].content[-1].text)
+

Which should give output like:

+
Doing great work is about more than just hard work and ambition; it involves combining several elements:

1. **Pursue What Excites You**: Engage in projects that are both ambitious and exciting to you. It's important to work on something you have a natural aptitude for and a deep interest in.

2. **Explore and Discover**: Great work often feels like a blend of discovery and creation. Focus on seeing possibilities and let ideas take their natural shape, rather than just executing a plan.

3. **Be Bold Yet Flexible**: Take bold steps in your work without over-planning. An adaptable approach that evolves with new ideas can often lead to breakthroughs.

4. **Work on Your Own Projects**: Develop a habit of working on projects of your own choosing, as these often lead to great achievements. These should be projects you find exciting and that challenge you intellectually.

5. **Be Earnest and Authentic**: Approach your work with earnestness and authenticity. Trying to impress others with affectation can be counterproductive, as genuine effort and intellectual honesty lead to better work outcomes.

6. **Build a Supportive Environment**: Work alongside great colleagues who inspire you and enhance your work. Surrounding yourself with motivating individuals creates a fertile environment for great work.

7. **Maintain High Morale**: High morale significantly impacts your ability to do great work. Stay optimistic and protect your mental well-being to maintain progress and momentum.

8. **Balance**: While hard work is essential, overworking can lead to diminishing returns. Balance periods of intensive work with rest to sustain productivity over time.

This approach shows that great work is less about following a strict formula and more about aligning your interests, ambition, and environment to foster creativity and innovation.
+

Architecture Overview​

+

Llama Stack provides OpenAI-compatible RAG capabilities through:

+
    +
  • Vector Stores API: OpenAI-compatible vector storage with automatic embedding model detection
    • +
  • Files API: Document upload and processing using OpenAI's file format
    • +
  • Responses API: Enhanced chat completions with agentic tool calling via file search
    • +
+

Configuring Default Embedding Models​

+

To enable automatic vector store creation without specifying embedding models, configure a default embedding model in your run.yaml like so:

+
vector_stores:
  default_provider_id: faiss
  default_embedding_model:
    provider_id: sentence-transformers
    model_id: nomic-ai/nomic-embed-text-v1.5
+

With this configuration:

+
    +
  • client.vector_stores.create() works without requiring embedding model or provider parameters
    • +
  • The system automatically uses the default vector store provider (faiss) when multiple providers are available
    • +
  • The system automatically uses the default embedding model (sentence-transformers/nomic-ai/nomic-embed-text-v1.5) for any newly created vector store
    • +
  • The default_provider_id specifies which vector storage backend to use
    • +
  • The default_embedding_model specifies both the inference provider and model for embeddings
    • +
+

Vector Store Operations​

+

Creating Vector Stores​

+

You can create vector stores with automatic or explicit embedding model selection:

+
# Automatic - uses default configured embedding model and vector store provider
vs = client.vector_stores.create()

# Explicit - specify embedding model and/or provider when you need specific ones
vs = client.vector_stores.create(
    extra_body={
        "provider_id": "faiss",  # Optional: specify vector store provider
        "embedding_model": "sentence-transformers/nomic-ai/nomic-embed-text-v1.5",
        "embedding_dimension": 768  # Optional: will be auto-detected if not provided
    }
)
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/responses_vs_agents.html b/docs/v0.3.0/docs/building_applications/responses_vs_agents.html new file mode 100644 index 00000000..30a96673 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/responses_vs_agents.html @@ -0,0 +1,90 @@ + + + + + +Agents vs OpenAI Responses API | Llama Stack + + + + + + + + + + + +

Agents vs OpenAI Responses API

+

Llama Stack (LLS) provides two different APIs for building AI applications with tool calling capabilities: the Agents API and the OpenAI Responses API. While both enable AI systems to use tools, and maintain full conversation history, they serve different use cases and have distinct characteristics.

+
note

Note: For simple and basic inferencing, you may want to use the Chat Completions API directly, before progressing to Agents or Responses API.

+

Overview​

+

LLS Agents API​

+

The Agents API is a full-featured, stateful system designed for complex, multi-turn conversations. It maintains conversation state through persistent sessions identified by a unique session ID. The API supports comprehensive agent lifecycle management, detailed execution tracking, and rich metadata about each interaction through a structured session/turn/step hierarchy. The API can orchestrate multiple tool calls within a single turn.

+

OpenAI Responses API​

+

The OpenAI Responses API is a full-featured, stateful system designed for complex, multi-turn conversations, with direct compatibility with OpenAI's conversational patterns enhanced by LLama Stack's tool calling capabilities. It maintains conversation state by chaining responses through a previous_response_id, allowing interactions to branch or continue from any prior point. Each response can perform multiple tool calls within a single turn.

+

Key Differences​

+

The LLS Agents API uses the Chat Completions API on the backend for inference as it's the industry standard for building AI applications and most LLM providers are compatible with this API. For a detailed comparison between Responses and Chat Completions, see OpenAI's documentation.

+

Additionally, Agents let you specify input/output shields whereas Responses do not (though support is planned). Agents use a linear conversation model referenced by a single session ID. Responses, on the other hand, support branching, where each response can serve as a fork point, and conversations are tracked by the latest response ID. Responses also lets you dynamically choose the model, vector store, files, MCP servers, and more on each inference call, enabling more complex workflows. Agents require a static configuration for these components at the start of the session.

+

Today the Agents and Responses APIs can be used independently depending on the use case. But, it is also productive to treat the APIs as complementary. It is not currently supported, but it is planned for the LLS Agents API to alternatively use the Responses API as its backend instead of the default Chat Completions API, i.e., enabling a combination of the safety features of Agents with the dynamic configuration and branching capabilities of Responses.

+

Feature Comparison​

+
FeatureLLS Agents APIOpenAI Responses API
Conversation ManagementLinear persistent sessionsCan branch from any previous response ID
Input/Output Safety ShieldsSupportedNot yet supported
Per-call FlexibilityStatic per-session configurationDynamic per-call configuration
+

Use Case Example: Research with Multiple Search Methods​

+

Let's compare how both APIs handle a research task where we need to:

+
    +
  1. Search for current information and examples
    2. +
  2. Access different information sources dynamically
    3. +
  3. Continue the conversation based on search results
    4. +
+

Session-based Configuration with Safety Shields​

# Create agent with static session configuration
agent = Agent(
    client,
    model="Llama3.2-3B-Instruct",
    instructions="You are a helpful coding assistant",
    tools=[
        {
            "name": "builtin::rag/knowledge_search",
            "args": {"vector_db_ids": ["code_docs"]},
        },
        "builtin::code_interpreter",
    ],
    input_shields=["llama_guard"],
    output_shields=["llama_guard"],
)

session_id = agent.create_session("code_session")

# First turn: Search and execute
response1 = agent.create_turn(
    messages=[
        {
            "role": "user",
            "content": "Find examples of sorting algorithms and run a bubble sort on [3,1,4,1,5]",
        },
    ],
    session_id=session_id,
)

# Continue conversation in same session
response2 = agent.create_turn(
    messages=[
        {
            "role": "user",
            "content": "Now optimize that code and test it with a larger dataset",
        },
    ],
    session_id=session_id,  # Same session, maintains full context
)

# Agents API benefits:
# ✅ Safety shields protect against malicious code execution
# ✅ Session maintains context between code executions
# ✅ Consistent tool configuration throughout conversation
print(f"First result: {response1.output_message.content}")
print(f"Optimization: {response2.output_message.content}")
+

Both APIs demonstrate distinct strengths that make them valuable on their own for different scenarios. The Agents API excels in providing structured, safety-conscious workflows with persistent session management, while the Responses API offers flexibility through dynamic configuration and OpenAI compatible tool patterns.

+

Use Case Examples​

+

1. Research and Analysis with Safety Controls​

+

Best Choice: Agents API

+

Scenario: You're building a research assistant for a financial institution that needs to analyze market data, execute code to process financial models, and search through internal compliance documents. The system must ensure all interactions are logged for regulatory compliance and protected by safety shields to prevent malicious code execution or data leaks.

+

Why Agents API? The Agents API provides persistent session management for iterative research workflows, built-in safety shields to protect against malicious code in financial models, and structured execution logs (session/turn/step) required for regulatory compliance. The static tool configuration ensures consistent access to your knowledge base and code interpreter throughout the entire research session.

+

2. Dynamic Information Gathering with Branching Exploration​

+

Best Choice: Responses API

+

Scenario: You're building a competitive intelligence tool that helps businesses research market trends. Users need to dynamically switch between web search for current market data and file search through uploaded industry reports. They also want to branch conversations to explore different market segments simultaneously and experiment with different models for various analysis types.

+

Why Responses API? The Responses API's branching capability lets users explore multiple market segments from any research point. Dynamic per-call configuration allows switching between web search and file search as needed, while experimenting with different models (faster models for quick searches, more powerful models for deep analysis). The OpenAI-compatible tool patterns make integration straightforward.

+

3. OpenAI Migration with Advanced Tool Capabilities​

+

Best Choice: Responses API

+

Scenario: You have an existing application built with OpenAI's Assistants API that uses file search and web search capabilities. You want to migrate to Llama Stack for better performance and cost control while maintaining the same tool calling patterns and adding new capabilities like dynamic vector store selection.

+

Why Responses API? The Responses API provides full OpenAI tool compatibility (web_search, file_search) with identical syntax, making migration seamless. The dynamic per-call configuration enables advanced features like switching vector stores per query or changing models based on query complexity - capabilities that extend beyond basic OpenAI functionality while maintaining compatibility.

+

4. Educational Programming Tutor​

+

Best Choice: Agents API

+

Scenario: You're building a programming tutor that maintains student context across multiple sessions, safely executes code exercises, and tracks learning progress with audit trails for educators.

+

Why Agents API? Persistent sessions remember student progress across multiple interactions, safety shields prevent malicious code execution while allowing legitimate programming exercises, and structured execution logs help educators track learning patterns.

+

5. Advanced Software Debugging Assistant​

+

Best Choice: Agents API with Responses Backend

+

Scenario: You're building a debugging assistant that helps developers troubleshoot complex issues. It needs to maintain context throughout a debugging session, safely execute diagnostic code, switch between different analysis tools dynamically, and branch conversations to explore multiple potential causes simultaneously.

+

Why Agents + Responses? The Agent provides safety shields for code execution and session management for the overall debugging workflow. The underlying Responses API enables dynamic model selection and flexible tool configuration per query, while branching lets you explore different theories (memory leak vs. concurrency issue) from the same debugging point and compare results.

+
Future Enhancement

The ability to use Responses API as the backend for Agents is not yet implemented but is planned for a future release. Currently, Agents use Chat Completions API as their backend by default.

+

Decision Framework​

+

Use this framework to choose the right API for your use case:

+

Choose Agents API when:​

+
    +
  • ✅ You need safety shields for input/output validation
    • +
  • ✅ Your application requires linear conversation flow with persistent context
    • +
  • ✅ You need audit trails and structured execution logs
    • +
  • ✅ Your tool configuration is static throughout the session
    • +
  • ✅ You're building educational, financial, or enterprise applications with compliance requirements
    • +
+

Choose Responses API when:​

+
    +
  • ✅ You need conversation branching to explore multiple paths
    • +
  • ✅ You want dynamic per-call configuration (models, tools, vector stores)
    • +
  • ✅ You're migrating from OpenAI and want familiar tool patterns
    • +
  • ✅ You need OpenAI compatibility for existing workflows
    • +
  • ✅ Your application benefits from flexible, experimental interactions
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/safety.html b/docs/v0.3.0/docs/building_applications/safety.html new file mode 100644 index 00000000..26ff9d85 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/safety.html @@ -0,0 +1,94 @@ + + + + + +Safety Guardrails | Llama Stack + + + + + + + + + + + +

Safety Guardrails

+

Safety is a critical component of any AI application. Llama Stack provides a comprehensive Shield system that can be applied at multiple touchpoints to ensure responsible AI behavior and content moderation.

+

Shield System Overview​

+

The Shield system in Llama Stack provides:

+
    +
  • Content filtering for both input and output messages
    • +
  • Multi-touchpoint protection across your application flow
    • +
  • Configurable safety policies tailored to your use case
    • +
  • Integration with agents for automated safety enforcement
    • +
+

Basic Shield Usage​

+

Registering a Safety Shield​

+
# Register a safety shield
shield_id = "content_safety"
client.shields.register(
    shield_id=shield_id,
    provider_shield_id="llama-guard-basic"
)
+

Agent Integration​

+

Shields can be automatically applied to agent interactions for seamless safety enforcement:

+
from llama_stack_client import Agent

# Create agent with input safety shields
agent = Agent(
    client,
    model="meta-llama/Llama-3.2-3B-Instruct",
    instructions="You are a helpful assistant",
    input_shields=["content_safety"],  # Shield user inputs
    tools=["builtin::websearch"],
)

session_id = agent.create_session("safe_session")

# All user inputs will be automatically screened
response = agent.create_turn(
    messages=[{"role": "user", "content": "Tell me about AI safety"}],
    session_id=session_id,
)
+

Available Shield Types​

+

Llama Guard Shields​

+

Llama Guard provides state-of-the-art content safety classification:

+
# Basic Llama Guard for general content safety
client.shields.register(
    shield_id="llama_guard_basic",
    provider_shield_id="llama-guard-basic"
)

Use Cases:

    +
  • General content moderation
    • +
  • Harmful content detection
    • +
  • Basic safety compliance
    • +
+

Custom Safety Shields​

+

Create domain-specific safety shields for specialized use cases:

+
# Register custom safety shield
client.shields.register(
    shield_id="financial_compliance",
    provider_shield_id="custom-financial-shield",
    config={
        "detect_pii": True,
        "financial_advice_warning": True,
        "regulatory_compliance": "FINRA"
    }
)
+

Safety Response Handling​

+

When safety violations are detected, handle them appropriately:

+
response = client.safety.run_shield(
    shield_id="content_safety",
    messages=[{"role": "user", "content": "Potentially harmful content"}]
)

if response.violation:
    violation = response.violation
    print(f"Violation Type: {violation.violation_type}")
    print(f"User Message: {violation.user_message}")
    print(f"Metadata: {violation.metadata}")

    # Log the violation for audit purposes
    logger.warning(f"Safety violation detected: {violation.violation_type}")

    # Provide appropriate user feedback
    return "I can't help with that request. Please try asking something else."
+

Safety Configuration Best Practices​

+

🛡️ Multi-Layer Protection​

+
    +
  • Use both input and output shields for comprehensive coverage
    • +
  • Combine multiple shield types for different threat categories
    • +
  • Implement fallback mechanisms when shields fail
    • +
+

📊 Monitoring & Auditing​

+
    +
  • Log all safety violations for compliance and analysis
    • +
  • Monitor false positive rates to tune shield sensitivity
    • +
  • Track safety metrics across different use cases
    • +
+

⚙️ Configuration Management​

+
    +
  • Use environment-specific safety configurations
    • +
  • Implement A/B testing for shield effectiveness
    • +
  • Regularly update shield models and policies
    • +
+

🔧 Integration Patterns​

+
    +
  • Integrate shields early in the development process
    • +
  • Test safety measures with adversarial inputs
    • +
  • Provide clear user feedback for violations
    • +
+

Advanced Safety Scenarios​

+

Context-Aware Safety​

+
# Safety shields that consider conversation context
agent = Agent(
    client,
    model="meta-llama/Llama-3.2-3B-Instruct",
    instructions="You are a healthcare assistant",
    input_shields=["medical_safety"],
    output_shields=["medical_safety"],
    # Context helps shields make better decisions
    safety_context={
        "domain": "healthcare",
        "user_type": "patient",
        "compliance_level": "HIPAA"
    }
)
+

Dynamic Shield Selection​

+
def select_shield_for_user(user_profile):
    """Select appropriate safety shield based on user context"""
    if user_profile.age < 18:
        return "child_safety_shield"
    elif user_profile.context == "enterprise":
        return "enterprise_compliance_shield"
    else:
        return "general_safety_shield"

# Use dynamic shield selection
shield_id = select_shield_for_user(current_user)
response = client.safety.run_shield(
    shield_id=shield_id,
    messages=messages
)
+

Compliance and Regulations​

+

Industry-Specific Safety​

+
# Healthcare-specific safety configuration
client.shields.register(
    shield_id="hipaa_compliance",
    provider_shield_id="healthcare-safety-shield",
    config={
        "detect_phi": True,  # Protected Health Information
        "medical_advice_warning": True,
        "regulatory_framework": "HIPAA"
    }
)
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/telemetry.html b/docs/v0.3.0/docs/building_applications/telemetry.html new file mode 100644 index 00000000..7e31339d --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/telemetry.html @@ -0,0 +1,127 @@ + + + + + +Telemetry | Llama Stack + + + + + + + + + + + +

Telemetry

+

The Llama Stack uses OpenTelemetry to provide comprehensive tracing, metrics, and logging capabilities.

+

Automatic Metrics Generation​

+

Llama Stack automatically generates metrics during inference operations. These metrics are aggregated at the inference request level and provide insights into token usage and model performance.

+

Available Metrics​

+

The following metrics are automatically generated for each inference request:

+
Metric NameTypeUnitDescriptionLabels
llama_stack_prompt_tokens_totalCountertokensNumber of tokens in the input promptmodel_id, provider_id
llama_stack_completion_tokens_totalCountertokensNumber of tokens in the generated responsemodel_id, provider_id
llama_stack_tokens_totalCountertokensTotal tokens used (prompt + completion)model_id, provider_id
+

Metric Generation Flow​

+
    +
  1. Token Counting: During inference operations (chat completion, completion, etc.), the system counts tokens in both input prompts and generated responses
    2. +
  2. Metric Construction: For each request, MetricEvent objects are created with the token counts
    3. +
  3. Telemetry Logging: Metrics are sent to the configured telemetry sinks
    4. +
  4. OpenTelemetry Export: When OpenTelemetry is enabled, metrics are exposed as standard OpenTelemetry counters
    5. +
+

Metric Aggregation Level​

+

All metrics are generated and aggregated at the inference request level. This means:

+
    +
  • Each individual inference request generates its own set of metrics
    • +
  • Metrics are not pre-aggregated across multiple requests
    • +
  • Aggregation (sums, averages, etc.) can be performed by your observability tools (Prometheus, Grafana, etc.)
    • +
  • Each metric includes labels for model_id and provider_id to enable filtering and grouping
    • +
+

Example Metric Event​

+
MetricEvent(
    trace_id="1234567890abcdef",
    span_id="abcdef1234567890",
    metric="total_tokens",
    value=150,
    timestamp=1703123456.789,
    unit="tokens",
    attributes={
        "model_id": "meta-llama/Llama-3.2-3B-Instruct",
        "provider_id": "tgi"
    },
)
+

Telemetry Sinks​

+

Choose from multiple sink types based on your observability needs:

+

Send events to an OpenTelemetry Collector for integration with observability platforms:

Use Cases:

    +
  • Visualizing traces in tools like Jaeger
    • +
  • Collecting metrics for Prometheus
    • +
  • Integration with enterprise observability stacks
    • +

Features:

    +
  • Standard OpenTelemetry format
    • +
  • Compatible with all OpenTelemetry collectors
    • +
  • Supports both traces and metrics
    • +
+

Configuration​

+

Meta-Reference Provider​

+

Currently, only the meta-reference provider is implemented. It can be configured to send events to multiple sink types:

+
telemetry:
  - provider_id: meta-reference
    provider_type: inline::meta-reference
    config:
      service_name: "llama-stack-service"
      sinks: ['console', 'otel_trace', 'otel_metric']
      otel_exporter_otlp_endpoint: "http://localhost:4318"
+

Environment Variables​

+

Configure telemetry behavior using environment variables:

+
    +
  • OTEL_EXPORTER_OTLP_ENDPOINT: OpenTelemetry Collector endpoint (default: http://localhost:4318)
    • +
  • OTEL_SERVICE_NAME: Service name for telemetry (default: empty string)
    • +
  • TELEMETRY_SINKS: Comma-separated list of sinks (default: [])
    • +
+

Quick Setup: Complete Telemetry Stack​

+

Use the automated setup script to launch the complete telemetry stack (Jaeger, OpenTelemetry Collector, Prometheus, and Grafana):

+
./scripts/telemetry/setup_telemetry.sh
+

This sets up:

+ +

Once running, you can visualize traces by navigating to Grafana and login with login admin and password admin.

+

Querying Metrics​

+

When using the OpenTelemetry sink, metrics are exposed in standard format and can be queried through various tools:

+

Example Prometheus queries for analyzing token usage:

# Total tokens used across all models
sum(llama_stack_tokens_total)

# Tokens per model
sum by (model_id) (llama_stack_tokens_total)

# Average tokens per request over 5 minutes
rate(llama_stack_tokens_total[5m])

# Token usage by provider
sum by (provider_id) (llama_stack_tokens_total)
+

Best Practices​

+

🔍 Monitoring Strategy​

+
    +
  • Use OpenTelemetry for production environments
    • +
  • Set up alerts on key metrics like token usage and error rates
    • +
+

📊 Metrics Analysis​

+
    +
  • Track token usage trends to optimize costs
    • +
  • Monitor response times across different models
    • +
  • Analyze usage patterns to improve resource allocation
    • +
+

🚨 Alerting & Debugging​

+
    +
  • Set up alerts for unusual token consumption spikes
    • +
  • Use trace data to debug performance issues
    • +
  • Monitor error rates and failure patterns
    • +
+

🔧 Configuration Management​

+
    +
  • Use environment variables for flexible deployment
    • +
  • Ensure proper network access to OpenTelemetry collectors
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/building_applications/tools.html b/docs/v0.3.0/docs/building_applications/tools.html new file mode 100644 index 00000000..fb683fc4 --- /dev/null +++ b/docs/v0.3.0/docs/building_applications/tools.html @@ -0,0 +1,127 @@ + + + + + +Tools | Llama Stack + + + + + + + + + + + +

Tools

+

Tools are functions that can be invoked by an agent to perform tasks. They are organized into tool groups and registered with specific providers. Each tool group represents a collection of related tools from a single provider. They are organized into groups so that state can be externalized: the collection operates on the same state typically.

+

An example of this would be a "db_access" tool group that contains tools for interacting with a database. "list_tables", "query_table", "insert_row" could be examples of tools in this group.

+

Tools are treated as any other resource in llama stack like models. You can register them, have providers for them etc.

+

When instantiating an agent, you can provide it a list of tool groups that it has access to. Agent gets the corresponding tool definitions for the specified tool groups and passes them along to the model.

+

Refer to the Building AI Applications notebook for more examples on how to use tools.

+

Server-side vs. Client-side Tool Execution​

+

Llama Stack allows you to use both server-side and client-side tools. With server-side tools, agent.create_turn can perform execution of the tool calls emitted by the model transparently giving the user the final answer desired. If client-side tools are provided, the tool call is sent back to the user for execution and optional continuation using the agent.resume_turn method.

+

Server-side Tools​

+

Llama Stack provides built-in providers for some common tools. These include web search, math, and RAG capabilities.

+ +

You have three providers to execute the web search tool calls generated by a model: Brave Search, Bing Search, and Tavily Search.

+

To indicate that the web search tool calls should be executed by brave-search, you can point the "builtin::websearch" toolgroup to the "brave-search" provider.

+
client.toolgroups.register(
    toolgroup_id="builtin::websearch",
    provider_id="brave-search",
    args={"max_results": 5},
)
+

The tool requires an API key which can be provided either in the configuration or through the request header X-LlamaStack-Provider-Data. The format of the header is:

+
{"<provider_name>_api_key": <your api key>}
+

Math​

+

The WolframAlpha tool provides access to computational knowledge through the WolframAlpha API.

+
client.toolgroups.register(
    toolgroup_id="builtin::wolfram_alpha",
    provider_id="wolfram-alpha"
)
+

Example usage:

+
result = client.tool_runtime.invoke_tool(
    tool_name="wolfram_alpha",
    args={"query": "solve x^2 + 2x + 1 = 0"}
)
+

RAG​

+

The RAG tool enables retrieval of context from various types of memory banks (vector, key-value, keyword, and graph).

+
# Register Memory tool group
client.toolgroups.register(
    toolgroup_id="builtin::rag",
    provider_id="faiss",
    args={"max_chunks": 5, "max_tokens_in_context": 4096},
)
+

Features:

+
    +
  • Support for multiple memory bank types
    • +
  • Configurable query generation
    • +
  • Context retrieval with token limits
    • +
+
Default Configuration

By default, llama stack run.yaml defines toolgroups for web search, wolfram alpha and rag, that are provided by tavily-search, wolfram-alpha and rag providers.

+

Model Context Protocol (MCP)​

+

MCP is an upcoming, popular standard for tool discovery and execution. It is a protocol that allows tools to be dynamically discovered from an MCP endpoint and can be used to extend the agent's capabilities.

+

Using Remote MCP Servers​

+

You can find some popular remote MCP servers here. You can register them as toolgroups in the same way as local providers.

+
client.toolgroups.register(
    toolgroup_id="mcp::deepwiki",
    provider_id="model-context-protocol",
    mcp_endpoint=URL(uri="https://mcp.deepwiki.com/sse"),
)
+

Note that most of the more useful MCP servers need you to authenticate with them. Many of them use OAuth2.0 for authentication. You can provide authorization headers to send to the MCP server using the "Provider Data" abstraction provided by Llama Stack. When making an agent call,

+
agent = Agent(
    ...,
    tools=["mcp::deepwiki"],
    extra_headers={
        "X-LlamaStack-Provider-Data": json.dumps(
            {
                "mcp_headers": {
                    "http://mcp.deepwiki.com/sse": {
                        "Authorization": "Bearer <your_access_token>",
                    },
                },
            }
        ),
    },
)
agent.create_turn(...)
+

Running Your Own MCP Server​

+

Here's an example of how to run a simple MCP server that exposes a File System as a set of tools to the Llama Stack agent.

+
# Start your MCP server
mkdir /tmp/content
touch /tmp/content/foo
touch /tmp/content/bar
npx -y supergateway --port 8000 --stdio 'npx -y @modelcontextprotocol/server-filesystem /tmp/content'
+

Adding Custom (Client-side) Tools​

+

When you want to use tools other than the built-in tools, you just need to implement a python function with a docstring. The content of the docstring will be used to describe the tool and the parameters and passed along to the generative model.

+
# Example tool definition
def my_tool(input: int) -> int:
    """
    Runs my awesome tool.

    :param input: some int parameter
    """
    return input * 2
+
Documentation Best Practices

We employ python docstrings to describe the tool and the parameters. It is important to document the tool and the parameters so that the model can use the tool correctly. It is recommended to experiment with different docstrings to see how they affect the model's behavior.

+

Once defined, simply pass the tool to the agent config. Agent will take care of the rest (calling the model with the tool definition, executing the tool, and returning the result to the model for the next iteration).

+
# Example agent config with client provided tools
agent = Agent(client, ..., tools=[my_tool])
+

Refer to llama-stack-apps for an example of how to use client provided tools.

+

Tool Invocation​

+

Tools can be invoked using the invoke_tool method:

+
result = client.tool_runtime.invoke_tool(
    tool_name="web_search",
    kwargs={"query": "What is the capital of France?"}
)
+

The result contains:

+
    +
  • content: The tool's output
    • +
  • error_message: Optional error message if the tool failed
    • +
  • error_code: Optional error code if the tool failed
    • +
+

Listing Available Tools​

+

You can list all available tools or filter by tool group:

+
# List all tools
all_tools = client.tools.list_tools()

# List tools in a specific group
group_tools = client.tools.list_tools(toolgroup_id="search_tools")
+

Complete Examples​

+

Web Search Agent​

+
    +
  1. Start by registering a Tavily API key at Tavily.
    2. +
  2. [Optional] Set the API key in your environment before starting the Llama Stack server
    3. +
export TAVILY_SEARCH_API_KEY="your key"
+

WolframAlpha Math Agent​

+
    +
  1. Start by registering for a WolframAlpha API key at WolframAlpha Developer Portal.
    2. +
  2. Provide the API key either by setting it in your environment before starting the Llama Stack server: +
    export WOLFRAM_ALPHA_API_KEY="your key"
    +or from the client side: +
    client = LlamaStackClient(
        base_url="http://localhost:8321",
        provider_data={"wolfram_alpha_api_key": wolfram_api_key},
    )
    +
    3. +
+

Best Practices​

+

🛠️ Tool Selection​

+
    +
  • Use server-side tools for production applications requiring reliability and security
    • +
  • Use client-side tools for development, prototyping, or specialized integrations
    • +
  • Combine multiple tool types for comprehensive functionality
    • +
+

📝 Documentation​

+
    +
  • Write clear, detailed docstrings for custom tools
    • +
  • Include parameter descriptions and expected return types
    • +
  • Test tool descriptions with the model to ensure proper usage
    • +
+

🔐 Security​

+
    +
  • Store API keys securely using environment variables or secure configuration
    • +
  • Use the X-LlamaStack-Provider-Data header for dynamic authentication
    • +
  • Validate tool inputs and outputs for security
    • +
+

🔄 Error Handling​

+
    +
  • Implement proper error handling in custom tools
    • +
  • Use structured error responses with meaningful messages
    • +
  • Monitor tool performance and reliability
    • +
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts.html b/docs/v0.3.0/docs/concepts.html new file mode 100644 index 00000000..257526f2 --- /dev/null +++ b/docs/v0.3.0/docs/concepts.html @@ -0,0 +1,43 @@ + + + + + +Core Concepts | Llama Stack + + + + + + + + + + + +

Core Concepts

Given Llama Stack's service-oriented philosophy, a few concepts and workflows arise which may not feel completely natural in the LLM landscape, especially if you are coming with a background in other frameworks.

+

Documentation Structure​

+

This section covers the fundamental concepts of Llama Stack:

+ +

Getting Started​

+

If you're new to Llama Stack, we recommend starting with:

+
    +
  1. Architecture - Understand the overall system design
    2. +
  2. APIs - Learn about the available APIs and their purpose
    3. +
  3. Distributions - Choose a pre-configured setup for your use case
    4. +
+

Each concept builds upon the previous ones to give you a comprehensive understanding of how Llama Stack works and how to use it effectively.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/apis.html b/docs/v0.3.0/docs/concepts/apis.html new file mode 100644 index 00000000..f538dbb9 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/apis.html @@ -0,0 +1,41 @@ + + + + + +APIs | Llama Stack + + + + + + + + + + + +

APIs

+

A Llama Stack API is described as a collection of REST endpoints. We currently support the following APIs:

+
    +
  • Inference: run inference with a LLM
    • +
  • Safety: apply safety policies to the output at a Systems (not only model) level
    • +
  • Agents: run multi-step agentic workflows with LLMs with tool usage, memory (RAG), etc.
    • +
  • DatasetIO: interface with datasets and data loaders
    • +
  • Scoring: evaluate outputs of the system
    • +
  • Eval: generate outputs (via Inference or Agents) and perform scoring
    • +
  • VectorIO: perform operations on vector stores, such as adding documents, searching, and deleting documents
    • +
  • Telemetry: collect telemetry data from the system
    • +
  • Post Training: fine-tune a model
    • +
  • Tool Runtime: interact with various tools and protocols
    • +
  • Responses: generate responses from an LLM using this OpenAI compatible API.
    • +
+

We are working on adding a few more APIs to complete the application lifecycle. These will include:

+
    +
  • Batch Inference: run inference on a dataset of inputs
    • +
  • Batch Agents: run agents on a dataset of inputs
    • +
  • Synthetic Data Generation: generate synthetic data for model development
    • +
  • Batches: OpenAI-compatible batch management for inference
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/apis/api_leveling.html b/docs/v0.3.0/docs/concepts/apis/api_leveling.html new file mode 100644 index 00000000..9e02f202 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/apis/api_leveling.html @@ -0,0 +1,94 @@ + + + + + +API Stability Leveling | Llama Stack + + + + + + + + + + + +

Llama Stack API Stability Leveling

+

In order to provide a stable experience in Llama Stack, the various APIs need different stability levels indicating the level of support, backwards compatability, and overall production readiness.

+

Different Levels​

+

v1alpha​

+
    +
  • Little to no expectation of support between versions
    • +
  • Breaking changes are permitted
    • +
  • Datatypes and parameters can break
    • +
  • Routes can be added and removed
    • +
+

Graduation Criteria​

+
    +
  • an API can graduate from v1alpha to v1beta if the team has identified the extent of the non-optional routes and the shape of their parameters/return types for the API eg. /v1/openai/chat/completions. Optional types can change.
    • +
  • CRUD must stay stable once in v1beta. This is a commitment to backward compatibility, guaranteeing that most code you write against the v1beta version will not break during future updates. We may make additive changes (like adding a new, optional field to a response), but we will not make breaking changes (like renaming an existing "modelName" field to "name", changing an ID's data type from an integer to a string, or altering an endpoint URL).
    • +
  • for OpenAI APIs, a comparison to the OpenAI spec for the specific API can be done to ensure completeness.
    • +
+

v1beta​

+
    +
  • API routes remain consistent between versions
    • +
  • Parameters and return types are not ensured between versions
    • +
  • API, besides minor fixes and adjustments, should be almost v1. Changes should not be drastic.
    • +
+

Graduation Criteria​

+
    +
  • an API can graduate from v1beta to v1 if the API surface and datatypes are complete as identified by the team. The parameters and return types that are mandatory for each route are stable. All aspects of graduating from v1alpha1 to v1beta apply as well.
    • +
  • Optional parameters, routes, or parts of the return type can be added after graduating to v1
    • +
+

v1 (stable)​

+
    +
  • Considered stable
    • +
  • Backwards compatible between Z-streams +
      +
    • Y-stream breaking changes must go through the proper approval and announcement process.
      • +
    +
    • +
  • Datatypes for a route and its return types cannot change between Z-streams +
      +
    • Y-stream datatype changes should be sparing, unless the changes are additional net-new parameters
      • +
    +
    • +
  • Must have proper conformance testing as outlined in https://github.com/llamastack/llama-stack/issues/3237
    • +
+

v2+ (Major Versions)​

+

Introducing a new major version like /v2 is a significant and disruptive event that should be treated as a last resort. It is reserved for essential changes to a stable /v1 API that are fundamentally backward-incompatible and cannot be implemented through additive, non-breaking changes or breaking changes across X/Y-Stream releases (x.y.z).

+

If a /v2 version is deemed absolutely necessary, it must adhere to the following protocol to ensure a sane and predictable transition for users:

+

Lifecycle Progression​

+

A new major version must follow the same stability lifecycle as /v1. It will be introduced as /v2alpha, mature to /v2beta, and finally become stable as /v2.

+

Coexistence:​

+

The new /v2 API must be introduced alongside the existing /v1 API and run in parallel. It must not replace the /v1 API immediately.

+

Deprecation Policy:​

+

When a /v2 API is introduced, a clear and generous deprecation policy for the /v1 API must be published simultaneously. This policy must outline the timeline for the eventual removal of the /v1 API, giving users ample time to migrate.

+

Deprecated APIs​

+

Deprecated APIs are those that are no longer actively maintained or supported. Depreated APIs are marked with the flag deprecated = True in the OpenAPI spec. These APIs will be removed in a future release.

+

API Stability vs. Provider Stability​

+

The leveling introduced in this document relates to the stability of the API and not specifically the providers within the API.

+

Providers can iterate as much as they want on functionality as long as they work within the bounds of an API. If they need to change the API, then the API should not be /v1, or those breaking changes can only happen on a y-stream release basis.

+

Approval and Announcement Process for Breaking Changes​

+
    +
  • PR Labeling: Any pull request that introduces a breaking API change must be clearly labeled with breaking-change.
    • +
  • PR Title/Commit: Any pull request that introduces a breaking API change must contain BREAKING CHANGE in the title and commit footer. Alternatively, the commit can include !, eg. feat(api)!: title goes here This is outlined in the conventional commits documentation
    • +
  • Maintainer Review: At least one maintainer must explicitly acknowledge the breaking change during review by applying the breaking-change label. An approval must come with this label or the acknowledgement this label has already been applied.
    • +
  • Announcement: Breaking changes require inclusion in release notes and, if applicable, a separate communication (e.g., Discord, Github Issues, or GitHub Discussions) prior to release.
    • +
+

If a PR has proper approvals, labels, and commit/title hygiene, the failing API conformance tests will be bypassed.

+

Enforcement​

+

Migration of API routes under /v1alpha, /v1beta, and /v1​

+

Instead of placing every API under /v1, any API that is not fully stable or complete should go under /v1alpha or /v1beta. For example, at the time of this writing, post_training belongs here, as well as any OpenAI-compatible API whose surface does not exactly match the upstream OpenAI API it mimics.

+

This migration is crucial as we get Llama Stack in the hands of users who intend to productize various APIs. A clear view of what is stable and what is actively being developed will enable users to pick and choose various APIs to build their products on.

+

This migration will be a breaking change for any API moving out of /v1. Ideally, this should happen before 0.3.0 and especially 1.0.0.

+

x-stability tags in the OpenAPI spec for oasdiff​

+

x-stability tags allow tools like oasdiff to enforce different rules for different stability levels; these tags should match the routes: oasdiff stability

+

Testing​

+

The testing of each stable API is already outlined in issue #3237 and is being worked on. These sorts of conformance tests should apply primarily to /v1 APIs only, with /v1alpha and /v1beta having any tests the maintainers see fit as well as basic testing to ensure the routing works properly.

+

New APIs going forward​

+

Any subsequently introduced APIs should be introduced as /v1alpha

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/apis/api_providers.html b/docs/v0.3.0/docs/concepts/apis/api_providers.html new file mode 100644 index 00000000..486fe5ca --- /dev/null +++ b/docs/v0.3.0/docs/concepts/apis/api_providers.html @@ -0,0 +1,32 @@ + + + + + +API Providers | Llama Stack + + + + + + + + + + + +

API Providers

+

The goal of Llama Stack is to build an ecosystem where users can easily swap out different implementations for the same API. Examples for these include:

+
    +
  • LLM inference providers (e.g., Fireworks, Together, AWS Bedrock, Groq, Cerebras, SambaNova, vLLM, etc.),
    • +
  • Vector databases (e.g., ChromaDB, Weaviate, Qdrant, Milvus, FAISS, PGVector, etc.),
    • +
  • Safety providers (e.g., Meta's Llama Guard, AWS Bedrock Guardrails, etc.)
    • +
+

Providers come in two flavors:

+
    +
  • Remote: the provider runs as a separate service external to the Llama Stack codebase. Llama Stack contains a small amount of adapter code.
    • +
  • Inline: the provider is fully specified and implemented within the Llama Stack codebase. It may be a simple wrapper around an existing library, or a full fledged implementation within Llama Stack.
    • +
+

Most importantly, Llama Stack always strives to provide at least one fully inline provider for each API so you can iterate on a fully featured environment locally.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/apis/external.html b/docs/v0.3.0/docs/concepts/apis/external.html new file mode 100644 index 00000000..5aef6f99 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/apis/external.html @@ -0,0 +1,155 @@ + + + + + +External APIs | Llama Stack + + + + + + + + + + + +

External APIs

+

Llama Stack supports external APIs that live outside of the main codebase. This allows you to:

+
    +
  • Create and maintain your own APIs independently
    • +
  • Share APIs with others without contributing to the main codebase
    • +
  • Keep API-specific code separate from the core Llama Stack code
    • +
+

Configuration​

+

To enable external APIs, you need to configure the external_apis_dir in your Llama Stack configuration. This directory should contain your external API specifications:

+
external_apis_dir: ~/.llama/apis.d/
+

Directory Structure​

+

The external APIs directory should follow this structure:

+
apis.d/
  custom_api1.yaml
  custom_api2.yaml
+

Each YAML file in these directories defines an API specification.

+

API Specification​

+

Here's an example of an external API specification for a weather API:

+
module: weather
api_dependencies:
  - inference
protocol: WeatherAPI
name: weather
pip_packages:
  - llama-stack-api-weather
+

API Specification Fields​

+
    +
  • module: Python module containing the API implementation
    • +
  • protocol: Name of the protocol class for the API
    • +
  • name: Name of the API
    • +
  • pip_packages: List of pip packages to install the API, typically a single package
    • +
+

Required Implementation​

+

External APIs must expose a available_providers() function in their module that returns a list of provider names:

+
# llama_stack_api_weather/api.py
from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec


def available_providers() -> list[ProviderSpec]:
    return [
        InlineProviderSpec(
            api=Api.weather,
            provider_type="inline::darksky",
            pip_packages=[],
            module="llama_stack_provider_darksky",
            config_class="llama_stack_provider_darksky.DarkSkyWeatherImplConfig",
        ),
    ]
+

A Protocol class like so:

+
# llama_stack_api_weather/api.py
from typing import Protocol

from llama_stack.schema_utils import webmethod


class WeatherAPI(Protocol):
    """
    A protocol for the Weather API.
    """

    @webmethod(route="/locations", method="GET")
    async def get_available_locations() -> dict[str, list[str]]:
        """
        Get the available locations.
        """
        ...
+

Example: Custom API​

+

Here's a complete example of creating and using a custom API:

+
    +
  1. First, create the API package:
    2. +
+
mkdir -p llama-stack-api-weather
cd llama-stack-api-weather
mkdir src/llama_stack_api_weather
git init
uv init
+
    +
  1. Edit pyproject.toml:
    2. +
+
[project]
name = "llama-stack-api-weather"
version = "0.1.0"
description = "Weather API for Llama Stack"
readme = "README.md"
requires-python = ">=3.12"
dependencies = ["llama-stack", "pydantic"]

[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"

[tool.setuptools.packages.find]
where = ["src"]
include = ["llama_stack_api_weather", "llama_stack_api_weather.*"]
+
    +
  1. Create the initial files:
    2. +
+
touch src/llama_stack_api_weather/__init__.py
touch src/llama_stack_api_weather/api.py
+
# llama-stack-api-weather/src/llama_stack_api_weather/__init__.py
"""Weather API for Llama Stack."""

from .api import WeatherAPI, available_providers

__all__ = ["WeatherAPI", "available_providers"]
+
    +
  1. Create the API implementation:
    2. +
+
# llama-stack-api-weather/src/llama_stack_api_weather/weather.py
from typing import Protocol

from llama_stack.providers.datatypes import (
    Api,
    ProviderSpec,
    RemoteProviderSpec,
)
from llama_stack.schema_utils import webmethod


def available_providers() -> list[ProviderSpec]:
    return [
        RemoteProviderSpec(
            api=Api.weather,
            provider_type="remote::kaze",
            config_class="llama_stack_provider_kaze.KazeProviderConfig",
            adapter_type="kaze",
            module="llama_stack_provider_kaze",
            pip_packages=["llama_stack_provider_kaze"],
            config_class="llama_stack_provider_kaze.KazeProviderConfig",
        ),
    ]


class WeatherProvider(Protocol):
    """
    A protocol for the Weather API.
    """

    @webmethod(route="/weather/locations", method="GET")
    async def get_available_locations() -> dict[str, list[str]]:
        """
        Get the available locations.
        """
        ...
+
    +
  1. Create the API specification:
    2. +
+
# ~/.llama/apis.d/weather.yaml
module: llama_stack_api_weather
name: weather
pip_packages: ["llama-stack-api-weather"]
protocol: WeatherProvider

+
    +
  1. Install the API package:
    2. +
+
uv pip install -e .
+
    +
  1. Configure Llama Stack to use external APIs:
    2. +
+
version: "2"
image_name: "llama-stack-api-weather"
apis:
  - weather
providers: {}
external_apis_dir: ~/.llama/apis.d
+

The API will now be available at /v1/weather/locations.

+

Example: custom provider for the weather API​

+
    +
  1. Create the provider package:
    2. +
+
mkdir -p llama-stack-provider-kaze
cd llama-stack-provider-kaze
uv init
+
    +
  1. Edit pyproject.toml:
    2. +
+
[project]
name = "llama-stack-provider-kaze"
version = "0.1.0"
description = "Kaze weather provider for Llama Stack"
readme = "README.md"
requires-python = ">=3.12"
dependencies = ["llama-stack", "pydantic", "aiohttp"]

[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"

[tool.setuptools.packages.find]
where = ["src"]
include = ["llama_stack_provider_kaze", "llama_stack_provider_kaze.*"]
+
    +
  1. Create the initial files:
    2. +
+
touch src/llama_stack_provider_kaze/__init__.py
touch src/llama_stack_provider_kaze/kaze.py
+
    +
  1. Create the provider implementation:
    2. +
+

Initialization function:

+
# llama-stack-provider-kaze/src/llama_stack_provider_kaze/__init__.py
"""Kaze weather provider for Llama Stack."""

from .config import KazeProviderConfig
from .kaze import WeatherKazeAdapter

__all__ = ["KazeProviderConfig", "WeatherKazeAdapter"]


async def get_adapter_impl(config: KazeProviderConfig, _deps):
    from .kaze import WeatherKazeAdapter

    impl = WeatherKazeAdapter(config)
    await impl.initialize()
    return impl
+

Configuration:

+
# llama-stack-provider-kaze/src/llama_stack_provider_kaze/config.py
from pydantic import BaseModel, Field


class KazeProviderConfig(BaseModel):
    """Configuration for the Kaze weather provider."""

    base_url: str = Field(
        "https://api.kaze.io/v1",
        description="Base URL for the Kaze weather API",
    )
+

Main implementation:

+
# llama-stack-provider-kaze/src/llama_stack_provider_kaze/kaze.py
from llama_stack_api_weather.api import WeatherProvider

from .config import KazeProviderConfig


class WeatherKazeAdapter(WeatherProvider):
    """Kaze weather provider implementation."""

    def __init__(
        self,
        config: KazeProviderConfig,
    ) -> None:
        self.config = config

    async def initialize(self) -> None:
        pass

    async def get_available_locations(self) -> dict[str, list[str]]:
        """Get available weather locations."""
        return {"locations": ["Paris", "Tokyo"]}
+
    +
  1. Create the provider specification:
    2. +
+
# ~/.llama/providers.d/remote/weather/kaze.yaml
adapter_type: kaze
pip_packages: ["llama_stack_provider_kaze"]
config_class: llama_stack_provider_kaze.config.KazeProviderConfig
module: llama_stack_provider_kaze
optional_api_dependencies: []
+
    +
  1. Install the provider package:
    2. +
+
uv pip install -e .
+
    +
  1. Configure Llama Stack to use the provider:
    2. +
+
# ~/.llama/run-byoa.yaml
version: "2"
image_name: "llama-stack-api-weather"
apis:
  - weather
providers:
  weather:
  - provider_id: kaze
    provider_type: remote::kaze
    config: {}
external_apis_dir: ~/.llama/apis.d
external_providers_dir: ~/.llama/providers.d
server:
  port: 8321
+
    +
  1. Run the server:
    2. +
+
llama stack run ~/.llama/run-byoa.yaml
+
    +
  1. Test the API:
    2. +
+
curl -sSf http://127.0.0.1:8321/v1/weather/locations
{"locations":["Paris","Tokyo"]}%
+

Best Practices​

+
    +
  1. +

    Package Naming: Use a clear and descriptive name for your API package.

    +
    2. +
  2. +

    Version Management: Keep your API package versioned and compatible with the Llama Stack version you're using.

    +
    3. +
  3. +

    Dependencies: Only include the minimum required dependencies in your API package.

    +
    4. +
  4. +

    Documentation: Include clear documentation in your API package about:

    +
      +
    • Installation requirements
      • +
    • Configuration options
      • +
    • API endpoints and usage
      • +
    • Any limitations or known issues
      • +
    +
    5. +
  5. +

    Testing: Include tests in your API package to ensure it works correctly with Llama Stack.

    +
    6. +
+

Troubleshooting​

+

If your external API isn't being loaded:

+
    +
  1. Check that the external_apis_dir path is correct and accessible.
    2. +
  2. Verify that the YAML files are properly formatted.
    3. +
  3. Ensure all required Python packages are installed.
    4. +
  4. Check the Llama Stack server logs for any error messages - turn on debug logging to get more information using LLAMA_STACK_LOGGING=all=debug.
    5. +
  5. Verify that the API package is installed in your Python environment.
    6. +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/architecture.html b/docs/v0.3.0/docs/concepts/architecture.html new file mode 100644 index 00000000..a6fb0403 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/architecture.html @@ -0,0 +1,80 @@ + + + + + +Llama Stack Architecture | Llama Stack + + + + + + + + + + + +

Llama Stack architecture

+

Llama Stack allows you to build different layers of distributions for your AI workloads using various SDKs and API providers.

+Llama Stack +

Benefits of Llama stack​

+

Current challenges in custom AI applications​

+

Building production AI applications today requires solving multiple challenges:

+

Infrastructure Complexity

+
    +
  • Running large language models efficiently requires specialized infrastructure.
    • +
  • Different deployment scenarios (local development, cloud, edge) need different solutions.
    • +
  • Moving from development to production often requires significant rework.
    • +
+

Essential Capabilities

+
    +
  • Safety guardrails and content filtering are necessary in an enterprise setting.
    • +
  • Just model inference is not enough - Knowledge retrieval and RAG capabilities are required.
    • +
  • Nearly any application needs composable multi-step workflows.
    • +
  • Without monitoring, observability and evaluation, you end up operating in the dark.
    • +
+

Lack of Flexibility and Choice

+
    +
  • Directly integrating with multiple providers creates tight coupling.
    • +
  • Different providers have different APIs and abstractions.
    • +
  • Changing providers requires significant code changes.
    • +
+

Our Solution: A Universal Stack​

+

Llama Stack addresses these challenges through a service-oriented, API-first approach:

+

Develop Anywhere, Deploy Everywhere

+
    +
  • Start locally with CPU-only setups
    • +
  • Move to GPU acceleration when needed
    • +
  • Deploy to cloud or edge without code changes
    • +
  • Same APIs and developer experience everywhere
    • +
+

Production-Ready Building Blocks

+
    +
  • Pre-built safety guardrails and content filtering
    • +
  • Built-in RAG and agent capabilities
    • +
  • Comprehensive evaluation toolkit
    • +
  • Full observability and monitoring
    • +
+

True Provider Independence

+
    +
  • Swap providers without application changes
    • +
  • Mix and match best-in-class implementations
    • +
  • Federation and fallback support
    • +
  • No vendor lock-in
    • +
+

Robust Ecosystem

+
    +
  • Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies).
    • +
  • Ecosystem offers tailored infrastructure, software, and services for deploying a variety of models.
    • +
+

Our Philosophy​

+
    +
  • Service-Oriented: REST APIs enforce clean interfaces and enable seamless transitions across different environments.
    • +
  • Composability: Every component is independent but works together seamlessly
    • +
  • Production Ready: Built for real-world applications, not just demos
    • +
  • Turnkey Solutions: Easy to deploy built in solutions for popular deployment scenarios
    • +
+

With Llama Stack, you can focus on building your application while we handle the infrastructure complexity, essential capabilities, and provider integrations.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/distributions.html b/docs/v0.3.0/docs/concepts/distributions.html new file mode 100644 index 00000000..7b57c654 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/distributions.html @@ -0,0 +1,24 @@ + + + + + +Distributions | Llama Stack + + + + + + + + + + + +

Distributions

+

While there is a lot of flexibility to mix-and-match providers, often users will work with a specific set of providers (hardware support, contractual obligations, etc.) We therefore need to provide a convenient shorthand for such collections. We call this shorthand a Llama Stack Distribution or a Distro. One can think of it as specific pre-packaged versions of the Llama Stack. Here are some examples:

+

Remotely Hosted Distro: These are the simplest to consume from a user perspective. You can simply obtain the API key for these providers, point to a URL and have all Llama Stack APIs working out of the box. Currently, Fireworks and Together provide such easy-to-consume Llama Stack distributions.

+

Locally Hosted Distro: You may want to run Llama Stack on your own hardware. Typically though, you still need to use Inference via an external service. You can use providers like HuggingFace TGI, Fireworks, Together, etc. for this purpose. Or you may have access to GPUs and can run a vLLM or NVIDIA NIM instance. If you "just" have a regular desktop machine, you can use Ollama for inference. To provide convenient quick access to these options, we provide a number of such pre-configured locally-hosted Distros.

+

On-device Distro: To run Llama Stack directly on an edge device (mobile phone or a tablet), we provide Distros for iOS and Android

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/evaluation_concepts.html b/docs/v0.3.0/docs/concepts/evaluation_concepts.html new file mode 100644 index 00000000..dd2f06ad --- /dev/null +++ b/docs/v0.3.0/docs/concepts/evaluation_concepts.html @@ -0,0 +1,81 @@ + + + + + +Evaluation Concepts | Llama Stack + + + + + + + + + + + +

Evaluation Concepts

+

The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks.

+

We introduce a set of APIs in Llama Stack for supporting running evaluations of LLM applications:

+
    +
  • /datasetio + /datasets API
    • +
  • /scoring + /scoring_functions API
    • +
  • /eval + /benchmarks API
    • +
+

This guide goes over the sets of APIs and developer experience flow of using Llama Stack to run evaluations for different use cases. Checkout our Colab notebook on working examples with evaluations here.

+

The Evaluation APIs are associated with a set of Resources. Please visit the Resources section in our Core Concepts guide for better high-level understanding.

+
    +
  • DatasetIO: defines interface with datasets and data loaders. +
      +
    • Associated with Dataset resource.
      • +
    +
    • +
  • Scoring: evaluate outputs of the system. +
      +
    • Associated with ScoringFunction resource. We provide a suite of out-of-the box scoring functions and also the ability for you to add custom evaluators. These scoring functions are the core part of defining an evaluation task to output evaluation metrics.
      • +
    +
    • +
  • Eval: generate outputs (via Inference or Agents) and perform scoring. +
      +
    • Associated with Benchmark resource.
      • +
    +
    • +
+

Open-benchmark Eval​

+

List of open-benchmarks Llama Stack support​

+

Llama stack pre-registers several popular open-benchmarks to easily evaluate model perfomance via CLI.

+

The list of open-benchmarks we currently support:

+
    +
  • MMLU-COT (Measuring Massive Multitask Language Understanding): Benchmark designed to comprehensively evaluate the breadth and depth of a model's academic and professional understanding
    • +
  • GPQA-COT (A Graduate-Level Google-Proof Q&A Benchmark): A challenging benchmark of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry.
    • +
  • SimpleQA: Benchmark designed to access models to answer short, fact-seeking questions.
    • +
  • MMMU (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models.
    • +
+

You can follow this contributing guide to add more open-benchmarks to Llama Stack

+

Run evaluation on open-benchmarks via CLI​

+

We have built-in functionality to run the supported open-benckmarks using llama-stack-client CLI

+

Spin up Llama Stack server​

+

Spin up llama stack server with 'open-benchmark' template

+
llama stack run llama_stack/distributions/open-benchmark/run.yaml
+

Run eval CLI​

+

There are 3 necessary inputs to run a benchmark eval

+
    +
  • list of benchmark_ids: The list of benchmark ids to run evaluation on
    • +
  • model-id: The model id to evaluate on
    • +
  • output_dir: Path to store the evaluate results
    • +
+
llama-stack-client eval run-benchmark <benchmark_id_1> <benchmark_id_2> ... \
--model_id <model id to evaluate on> \
--output_dir <directory to store the evaluate results>
+

You can run

+
llama-stack-client eval run-benchmark help
+

to see the description of all the flags that eval run-benchmark has

+

In the output log, you can find the file path that has your evaluation results. Open that file and you can see you aggregate +evaluation results over there.

+

What's Next?​

+
    +
  • Check out our Colab notebook on working examples with running benchmark evaluations here.
    • +
  • Check out our Building Applications - Evaluation guide for more details on how to use the Evaluation APIs to evaluate your applications.
    • +
  • Check out our Evaluation Reference for more details on the APIs.
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/concepts/resources.html b/docs/v0.3.0/docs/concepts/resources.html new file mode 100644 index 00000000..7625f734 --- /dev/null +++ b/docs/v0.3.0/docs/concepts/resources.html @@ -0,0 +1,32 @@ + + + + + +Resources | Llama Stack + + + + + + + + + + + +

Resources

+

Some of these APIs are associated with a set of Resources. Here is the mapping of APIs to resources:

+
    +
  • Inference, Eval and Post Training are associated with Model resources.
    • +
  • Safety is associated with Shield resources.
    • +
  • Tool Runtime is associated with ToolGroup resources.
    • +
  • DatasetIO is associated with Dataset resources.
    • +
  • VectorIO is associated with VectorDB resources.
    • +
  • Scoring is associated with ScoringFunction resources.
    • +
  • Eval is associated with Model and Benchmark resources.
    • +
+

Furthermore, we allow these resources to be federated across multiple providers. For example, you may have some Llama models served by Fireworks while others are served by AWS Bedrock. Regardless, they will all work seamlessly with the same uniform Inference API provided by Llama Stack.

+
Registering Resources

Given this architecture, it is necessary for the Stack to know which provider to use for a given resource. This means you need to explicitly register resources (including models) before you can use them with the associated APIs.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/contributing.html b/docs/v0.3.0/docs/contributing.html new file mode 100644 index 00000000..62e5ff7d --- /dev/null +++ b/docs/v0.3.0/docs/contributing.html @@ -0,0 +1,155 @@ + + + + + +Contributing to Llama Stack | Llama Stack + + + + + + + + + + + +

Contributing to Llama Stack

+

We want to make contributing to this project as easy and transparent as +possible.

+

Set up your development environment​

+

We use uv to manage python dependencies and virtual environments. +You can install uv by following this guide.

+

You can install the dependencies by running:

+
cd llama-stack
uv sync --group dev
uv pip install -e .
source .venv/bin/activate
+
You can use a specific version of Python with `uv` by adding the `--python <version>` flag (e.g. `--python 3.12`).
Otherwise, `uv` will automatically select a Python version according to the `requires-python` section of the `pyproject.toml`.
For more info, see the [uv docs around Python versions](https://docs.astral.sh/uv/concepts/python-versions/).
+

Note that you can create a dotenv file .env that includes necessary environment variables:

+
LLAMA_STACK_BASE_URL=http://localhost:8321
LLAMA_STACK_CLIENT_LOG=debug
LLAMA_STACK_PORT=8321
LLAMA_STACK_CONFIG=<provider-name>
TAVILY_SEARCH_API_KEY=
BRAVE_SEARCH_API_KEY=
+

And then use this dotenv file when running client SDK tests via the following:

+
uv run --env-file .env -- pytest -v tests/integration/inference/test_text_inference.py --text-model=meta-llama/Llama-3.1-8B-Instruct
+

Pre-commit Hooks​

+

We use pre-commit to run linting and formatting checks on your code. You can install the pre-commit hooks by running:

+
uv run pre-commit install
+

After that, pre-commit hooks will run automatically before each commit.

+

Alternatively, if you don't want to install the pre-commit hooks, you can run the checks manually by running:

+
uv run pre-commit run --all-files
+
Before pushing your changes, make sure that the pre-commit hooks have passed successfully.
+

Discussions -> Issues -> Pull Requests​

+

We actively welcome your pull requests. However, please read the following. This is heavily inspired by Ghostty.

+

If in doubt, please open a discussion; we can always convert that to an issue later.

+

Issues​

+

We use GitHub issues to track public bugs. Please ensure your description is +clear and has sufficient instructions to be able to reproduce the issue.

+

Meta has a bounty program for the safe +disclosure of security bugs. In those cases, please go through the process +outlined on that page and do not file a public issue.

+

Contributor License Agreement ("CLA")​

+

In order to accept your pull request, we need you to submit a CLA. You only need +to do this once to work on any of Meta's open source projects.

+

Complete your CLA here: https://code.facebook.com/cla

+

I'd like to contribute!

+

If you are new to the project, start by looking at the issues tagged with "good first issue". If you're interested +leave a comment on the issue and a triager will assign it to you.

+

Please avoid picking up too many issues at once. This helps you stay focused and ensures that others in the community also have opportunities to contribute.

+
    +
  • Try to work on only 1–2 issues at a time, especially if you’re still getting familiar with the codebase.
    • +
  • Before taking an issue, check if it’s already assigned or being actively discussed.
    • +
  • If you’re blocked or can’t continue with an issue, feel free to unassign yourself or leave a comment so others can step in.
    • +
+

I have a bug!

+
    +
  1. Search the issue tracker and discussions for similar issues.
    2. +
  2. If you don't have steps to reproduce, open a discussion.
    3. +
  3. If you have steps to reproduce, open an issue.
    4. +
+

I have an idea for a feature!

+
    +
  1. Open a discussion.
    2. +
+

I've implemented a feature!

+
    +
  1. If there is an issue for the feature, open a pull request.
    2. +
  2. If there is no issue, open a discussion and link to your branch.
    3. +
+

I have a question!

+
    +
  1. Open a discussion or use Discord.
    2. +
+

Opening a Pull Request

+
    +
  1. Fork the repo and create your branch from main.
    2. +
  2. If you've changed APIs, update the documentation.
    3. +
  3. Ensure the test suite passes.
    4. +
  4. Make sure your code lints using pre-commit.
    5. +
  5. If you haven't already, complete the Contributor License Agreement ("CLA").
    6. +
  6. Ensure your pull request follows the conventional commits format.
    7. +
  7. Ensure your pull request follows the coding style.
    8. +
+

Please keep pull requests (PRs) small and focused. If you have a large set of changes, consider splitting them into logically grouped, smaller PRs to facilitate review and testing.

+
As a general guideline:
- Experienced contributors should try to keep no more than 5 open PRs at a time.
- New contributors are encouraged to have only one open PR at a time until they’re familiar with the codebase and process.
+

Repository guidelines​

+

Coding Style​

+
    +
  • Comments should provide meaningful insights into the code. Avoid filler comments that simply +describe the next step, as they create unnecessary clutter, same goes for docstrings.
    • +
  • Prefer comments to clarify surprising behavior and/or relationships between parts of the code +rather than explain what the next line of code does.
    • +
  • Catching exceptions, prefer using a specific exception type rather than a broad catch-all like +Exception.
    • +
  • Error messages should be prefixed with "Failed to ..."
    • +
  • 4 spaces for indentation rather than tab
    • +
  • When using # noqa to suppress a style or linter warning, include a comment explaining the +justification for bypassing the check.
    • +
  • When using # type: ignore to suppress a mypy warning, include a comment explaining the +justification for bypassing the check.
    • +
  • Don't use unicode characters in the codebase. ASCII-only is preferred for compatibility or +readability reasons.
    • +
  • Providers configuration class should be Pydantic Field class. It should have a description field +that describes the configuration. These descriptions will be used to generate the provider +documentation.
    • +
  • When possible, use keyword arguments only when calling functions.
    • +
  • Llama Stack utilizes custom Exception classes for certain Resources that should be used where applicable.
    • +
+

License​

+

By contributing to Llama, you agree that your contributions will be licensed +under the LICENSE file in the root directory of this source tree.

+

Common Tasks​

+

Some tips about common tasks you work on while contributing to Llama Stack:

+

Setup for development​

+
git clone https://github.com/meta-llama/llama-stack.git
cd llama-stack
uv run llama stack list-deps <distro-name> | xargs -L1 uv pip install

# (Optional) If you are developing the llama-stack-client-python package, you can add it as an editable package.
git clone https://github.com/meta-llama/llama-stack-client-python.git
uv add --editable ../llama-stack-client-python
+

Updating distribution configurations​

+

If you have made changes to a provider's configuration in any form (introducing a new config key, or +changing models, etc.), you should run ./scripts/distro_codegen.py to re-generate various YAML +files as well as the documentation. You should not change docs/source/.../distributions/ files +manually as they are auto-generated.

+

Updating the provider documentation​

+

If you have made changes to a provider's configuration, you should run ./scripts/provider_codegen.py +to re-generate the documentation. You should not change docs/source/.../providers/ files manually +as they are auto-generated. +Note that the provider "description" field will be used to generate the provider documentation.

+

Building the Documentation​

+

If you are making changes to the documentation at https://llamastack.github.io/, you can use the following command to build the documentation and preview your changes.

+
# This rebuilds the documentation pages and the OpenAPI spec.
npm install
npm run gen-api-docs all
npm run build

# This will start a local server (usually at http://127.0.0.1:3000).
npm run serve
+

Update API Documentation​

+

If you modify or add new API endpoints, update the API documentation accordingly. You can do this by running the following command:

+
uv run ./docs/openapi_generator/run_openapi_generator.sh
+

The generated API schema will be available in docs/static/. Make sure to review the changes before committing.

+

Adding a New Provider​

+

See:

+ +

Testing​

+

See the Testing README for detailed testing information.

+

Advanced Topics​

+

For developers who need deeper understanding of the testing system internals:

+ +

Benchmarking​

+

See the Benchmarking README for benchmarking information.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/contributing/new_api_provider.html b/docs/v0.3.0/docs/contributing/new_api_provider.html new file mode 100644 index 00000000..187d2f2d --- /dev/null +++ b/docs/v0.3.0/docs/contributing/new_api_provider.html @@ -0,0 +1,77 @@ + + + + + +Adding a New API Provider | Llama Stack + + + + + + + + + + + +

Adding a New API Provider

This guide will walk you through the process of adding a new API provider to Llama Stack.

+
    +
  • Begin by reviewing the core concepts of Llama Stack and choose the API your provider belongs to (Inference, Safety, VectorIO, etc.)
    • +
  • Determine the provider type (Remote or Inline). Remote providers make requests to external services, while inline providers execute implementation locally.
    • +
  • Add your provider to the appropriate Registry. Specify pip dependencies necessary.
    • +
  • Update any distribution Templates build.yaml and run.yaml files if they should include your provider by default. Run ./scripts/distro_codegen.py if necessary. Note that distro_codegen.py will fail if the new provider causes any distribution template to attempt to import provider-specific dependencies. This usually means the distribution's get_distribution_template() code path should only import any necessary Config or model alias definitions from each provider and not the provider's actual implementation.
    • +
+

Here are some example PRs to help you get started:

+ +

Guidelines for creating Internal or External Providers​

+
TypeInternal (In-tree)External (out-of-tree)
DescriptionA provider that is directly in the Llama Stack codeA provider that is outside of the Llama stack core codebase but is still accessible and usable by Llama Stack.
BenefitsAbility to interact with the provider with minimal additional configurations or installationsContributors do not have to add directly to the code to create providers accessible on Llama Stack. Keep provider-specific code separate from the core Llama Stack code.
+

Inference Provider Patterns​

+

When implementing Inference providers for OpenAI-compatible APIs, Llama Stack provides several mixin classes to simplify development and ensure consistent behavior across providers.

+

OpenAIMixin​

+

The OpenAIMixin class provides direct OpenAI API functionality for providers that work with OpenAI-compatible endpoints. It includes:

+

Direct API Methods​

+
    +
  • openai_completion(): Legacy text completion API with full parameter support
    • +
  • openai_chat_completion(): Chat completion API supporting streaming, tools, and function calling
    • +
  • openai_embeddings(): Text embeddings generation with customizable encoding and dimensions
    • +
+

Model Management​

+
    +
  • check_model_availability(): Queries the API endpoint to verify if a model exists and is accessible
    • +
+

Client Management​

+
    +
  • client property: Automatically creates and configures AsyncOpenAI client instances using your provider's credentials
    • +
+

Required Implementation​

+

To use OpenAIMixin, your provider must implement these abstract methods:

+
@abstractmethod
def get_api_key(self) -> str:
    """Return the API key for authentication"""
    pass


@abstractmethod
def get_base_url(self) -> str:
    """Return the OpenAI-compatible API base URL"""
    pass
+

Testing the Provider​

+

Before running tests, you must have required dependencies installed. This depends on the providers or distributions you are testing. For example, if you are testing the together distribution, install its dependencies with llama stack list-deps together | xargs -L1 uv pip install.

+

1. Integration Testing​

+

Integration tests are located in tests/integration. These tests use the python client-SDK APIs (from the llama_stack_client package) to test functionality. Since these tests use client APIs, they can be run either by pointing to an instance of the Llama Stack server or "inline" by using LlamaStackAsLibraryClient.

+

Consult tests/integration/README.md for more details on how to run the tests.

+

Note that each provider's sample_run_config() method (in the configuration class for that provider) +typically references some environment variables for specifying API keys and the like. You can set these in the environment before running the test command.

+

2. Unit Testing​

+

Unit tests are located in tests/unit. Provider-specific unit tests are located in tests/unit/providers. These tests are all run automatically as part of the CI process.

+

Consult tests/unit/README.md for more details on how to run the tests manually.

+

3. Additional end-to-end testing​

+
    +
  1. Start a Llama Stack server with your new provider
    2. +
  2. Verify compatibility with existing client scripts in the llama-stack-apps repository
    3. +
  3. Document which scripts are compatible with your provider
    4. +
+

Submitting Your PR​

+
    +
  1. Ensure all tests pass
    2. +
  2. Include a comprehensive test plan in your PR summary
    3. +
  3. Document any known limitations or considerations
    4. +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/contributing/new_vector_database.html b/docs/v0.3.0/docs/contributing/new_vector_database.html new file mode 100644 index 00000000..535452a7 --- /dev/null +++ b/docs/v0.3.0/docs/contributing/new_vector_database.html @@ -0,0 +1,131 @@ + + + + + +Adding a New Vector Database | Llama Stack + + + + + + + + + + + +

Adding a New Vector Database

This guide will walk you through the process of adding a new vector database to Llama Stack.

+
+

NOTE: Here's an example Pull Request of the Milvus Vector Database Provider.

+
+

Vector Database providers are used to store and retrieve vector embeddings. Vector databases are not limited to vector +search but can support keyword and hybrid search. Additionally, vector database can also support operations like +filtering, sorting, and aggregating vectors.

+

Steps to Add a New Vector Database Provider​

+
    +
  1. Choose the Database Type: Determine if your vector database is a remote service, inline, or both. +
      +
    • Remote databases make requests to external services, while inline databases execute locally. Some providers support both.
      • +
    +
    2. +
  2. Implement the Provider: Create a new provider class that inherits from VectorDatabaseProvider and implements the required methods. +
      +
    • Implement methods for vector storage, retrieval, search, and any additional features your database supports. +
        +
      • You will need to implement the following methods for YourVectorIndex: +
          +
        • YourVectorIndex.create()
          • +
        • YourVectorIndex.initialize()
          • +
        • YourVectorIndex.add_chunks()
          • +
        • YourVectorIndex.delete_chunk()
          • +
        • YourVectorIndex.query_vector()
          • +
        • YourVectorIndex.query_keyword()
          • +
        • YourVectorIndex.query_hybrid()
          • +
        +
        • +
      • You will need to implement the following methods for YourVectorIOAdapter: +
          +
        • YourVectorIOAdapter.initialize()
          • +
        • YourVectorIOAdapter.shutdown()
          • +
        • YourVectorIOAdapter.list_vector_dbs()
          • +
        • YourVectorIOAdapter.register_vector_db()
          • +
        • YourVectorIOAdapter.unregister_vector_db()
          • +
        • YourVectorIOAdapter.insert_chunks()
          • +
        • YourVectorIOAdapter.query_chunks()
          • +
        • YourVectorIOAdapter.delete_chunks()
          • +
        +
        • +
      +
      • +
    +
    3. +
  3. Add to Registry: Register your provider in the appropriate registry file. + +
    4. +
+
from llama_stack.providers.registry.specs import InlineProviderSpec
from llama_stack.providers.registry.api import Api

InlineProviderSpec(
    api=Api.vector_io,
    provider_type="inline::milvus",
    pip_packages=["pymilvus>=2.4.10"],
    module="llama_stack.providers.inline.vector_io.milvus",
    config_class="llama_stack.providers.inline.vector_io.milvus.MilvusVectorIOConfig",
    api_dependencies=[Api.inference],
    optional_api_dependencies=[Api.files],
    description="",
),
+
    +
  1. Add Tests: Create unit tests and integration tests for your provider in the tests/ directory. +
      +
    • Unit Tests +
        +
      • By following the structure of the class methods, you will be able to easily run unit and integration tests for your database. +
          +
        1. You have to configure the tests for your provide in /tests/unit/providers/vector_io/conftest.py.
          2. +
        2. Update the vector_provider fixture to include your provider if they are an inline provider.
          3. +
        3. Create a your_vectorprovider_index fixture that initializes your vector index.
          4. +
        4. Create a your_vectorprovider_adapter fixture that initializes your vector adapter.
          5. +
        5. Add your provider to the vector_io_providers fixture dictionary.
          6. +
        +
          +
        • Please follow the naming convention of your_vectorprovider_index and your_vectorprovider_adapter as the tests require this to execute properly.
          • +
        +
        • +
      +
      • +
    • Integration Tests +
        +
      • Integration tests are located in tests/integration. These tests use the python client-SDK APIs (from the llama_stack_client package) to test functionality.
        • +
      • The two set of integration tests are: +
          +
        • tests/integration/vector_io/test_vector_io.py: This file tests registration, insertion, and retrieval.
          • +
        • tests/integration/vector_io/test_openai_vector_stores.py: These tests are for OpenAI-compatible vector stores and test the OpenAI API compatibility.
          • +
        • You will need to update skip_if_provider_doesnt_support_openai_vector_stores to include your provider as well as skip_if_provider_doesnt_support_openai_vector_stores_search to test the appropriate search functionality.
          • +
        +
        • +
      • Running the tests in the GitHub CI +
          +
        • You will need to update the .github/workflows/integration-vector-io-tests.yml file to include your provider.
          • +
        • If your provider is a remote provider, you will also have to add a container to spin up and run it in the action.
          • +
        +
        • +
      +
      • +
    • Updating the pyproject.yml +
        +
      • If you are adding tests for the inline provider you will have to update the unit group. +
          +
        • uv add new_pip_package --group unit
          • +
        +
        • +
      • If you are adding tests for the remote provider you will have to update the test group, which is used in the GitHub CI for integration tests. +
          +
        • uv add new_pip_package --group test
          • +
        +
        • +
      +
      • +
    +
    2. +
  2. Update Documentation: Please update the documentation for end users +
      +
    • Generate the provider documentation by running ./scripts/provider_codegen.py.
      • +
    • Update the autogenerated content in the registry/vector_io.py file with information about your provider. Please see other providers for examples.
      • +
    +
    3. +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/contributing/testing/record-replay.html b/docs/v0.3.0/docs/contributing/testing/record-replay.html new file mode 100644 index 00000000..9eff6136 --- /dev/null +++ b/docs/v0.3.0/docs/contributing/testing/record-replay.html @@ -0,0 +1,114 @@ + + + + + +Record-Replay Testing System | Llama Stack + + + + + + + + + + + +

Record-Replay System

+

Understanding how Llama Stack captures and replays API interactions for testing.

+

Overview​

+

The record-replay system solves a fundamental challenge in AI testing: how do you test against expensive, non-deterministic APIs without breaking the bank or dealing with flaky tests?

+

The solution: intercept API calls, store real responses, and replay them later. This gives you real API behavior without the cost or variability.

+

How It Works​

+

Request Hashing​

+

Every API request gets converted to a deterministic hash for lookup:

+
def normalize_request(method: str, url: str, headers: dict, body: dict) -> str:
    normalized = {
        "method": method.upper(),
        "endpoint": urlparse(url).path,  # Just the path, not full URL
        "body": body,  # Request parameters
    }
    return hashlib.sha256(json.dumps(normalized, sort_keys=True).encode()).hexdigest()
+

Key insight: The hashing is intentionally precise. Different whitespace, float precision, or parameter order produces different hashes. This prevents subtle bugs from false cache hits.

+
# These produce DIFFERENT hashes:
{"content": "Hello world"}
{"content": "Hello   world\n"}
{"temperature": 0.7}
{"temperature": 0.7000001}
+

Client Interception​

+

The system patches OpenAI and Ollama client methods to intercept calls before they leave your application. This happens transparently - your test code doesn't change.

+

Storage Architecture​

+

Recordings are stored as JSON files in the recording directory. They are looked up by their request hash.

+
recordings/
└── responses/
    ├── abc123def456.json  # Individual response files
    └── def789ghi012.json
+

JSON files store complete request/response pairs in human-readable format for debugging.

+

Recording Modes​

+

LIVE Mode​

+

Direct API calls with no recording or replay:

+
from llama_stack.testing.api_recorder import api_recording, APIRecordingMode

with api_recording(mode=APIRecordingMode.LIVE):
    response = await client.chat.completions.create(...)
+

Use for initial development and debugging against real APIs.

+

RECORD Mode​

+

Captures API interactions while passing through real responses:

+
with api_recording(mode=APIRecordingMode.RECORD, storage_dir="./recordings"):
    response = await client.chat.completions.create(...)
    # Real API call made, response captured AND returned
+

The recording process:

+
    +
  1. Request intercepted and hashed
    2. +
  2. Real API call executed
    3. +
  3. Response captured and serialized
    4. +
  4. Recording stored to disk
    5. +
  5. Original response returned to caller
    6. +
+

REPLAY Mode​

+

Returns stored responses instead of making API calls:

+
with api_recording(mode=APIRecordingMode.REPLAY, storage_dir="./recordings"):
    response = await client.chat.completions.create(...)
    # No API call made, cached response returned instantly
+

The replay process:

+
    +
  1. Request intercepted and hashed
    2. +
  2. Hash looked up in SQLite index
    3. +
  3. Response loaded from JSON file
    4. +
  4. Response deserialized and returned
    5. +
  5. Error if no recording found
    6. +
+

Streaming Support​

+

Streaming APIs present a unique challenge: how do you capture an async generator?

+

The Problem​

+
# How do you record this?
async for chunk in client.chat.completions.create(stream=True):
    process(chunk)
+

The Solution​

+

The system captures all chunks immediately before yielding any:

+
async def handle_streaming_record(response):
    # Capture complete stream first
    chunks = []
    async for chunk in response:
        chunks.append(chunk)

    # Store complete recording
    storage.store_recording(
        request_hash, request_data, {"body": chunks, "is_streaming": True}
    )

    # Return generator that replays captured chunks
    async def replay_stream():
        for chunk in chunks:
            yield chunk

    return replay_stream()
+

This ensures:

+
    +
  • Complete capture - The entire stream is saved atomically
    • +
  • Interface preservation - The returned object behaves like the original API
    • +
  • Deterministic replay - Same chunks in the same order every time
    • +
+

Serialization​

+

API responses contain complex Pydantic objects that need careful serialization:

+
def _serialize_response(response):
    if hasattr(response, "model_dump"):
        # Preserve type information for proper deserialization
        return {
            "__type__": f"{response.__class__.__module__}.{response.__class__.__qualname__}",
            "__data__": response.model_dump(mode="json"),
        }
    return response
+

This preserves type safety - when replayed, you get the same Pydantic objects with all their validation and methods.

+

Environment Integration​

+

Environment Variables​

+

Control recording behavior globally:

+
export LLAMA_STACK_TEST_INFERENCE_MODE=replay   # this is the default
export LLAMA_STACK_TEST_RECORDING_DIR=/path/to/recordings   # default is tests/integration/recordings
pytest tests/integration/
+

Pytest Integration​

+

The system integrates automatically based on environment variables, requiring no changes to test code.

+

Debugging Recordings​

+

Inspecting Storage​

+
# See what's recorded
sqlite3 recordings/index.sqlite "SELECT endpoint, model, timestamp FROM recordings LIMIT 10;"

# View specific response
cat recordings/responses/abc123def456.json | jq '.response.body'

# Find recordings by endpoint
sqlite3 recordings/index.sqlite "SELECT * FROM recordings WHERE endpoint='/v1/chat/completions';"
+

Common Issues​

+

Hash mismatches: Request parameters changed slightly between record and replay

+
# Compare request details
cat recordings/responses/abc123.json | jq '.request'
+

Serialization errors: Response types changed between versions

+
# Re-record with updated types
rm recordings/responses/failing_hash.json
LLAMA_STACK_TEST_INFERENCE_MODE=record pytest test_failing.py
+

Missing recordings: New test or changed parameters

+
# Record the missing interaction
LLAMA_STACK_TEST_INFERENCE_MODE=record pytest test_new.py
+

Design Decisions​

+

Why Not Mocks?​

+

Traditional mocking breaks down with AI APIs because:

+
    +
  • Response structures are complex and evolve frequently
    • +
  • Streaming behavior is hard to mock correctly
    • +
  • Edge cases in real APIs get missed
    • +
  • Mocks become brittle maintenance burdens
    • +
+

Why Precise Hashing?​

+

Loose hashing (normalizing whitespace, rounding floats) seems convenient but hides bugs. If a test changes slightly, you want to know about it rather than accidentally getting the wrong cached response.

+

Why JSON + SQLite?​

+
    +
  • JSON - Human readable, diff-friendly, easy to inspect and modify
    • +
  • SQLite - Fast indexed lookups without loading response bodies
    • +
  • Hybrid - Best of both worlds for different use cases
    • +
+

This system provides reliable, fast testing against real AI APIs while maintaining the ability to debug issues when they arise.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/deploying.html b/docs/v0.3.0/docs/deploying.html new file mode 100644 index 00000000..ebf9bbaf --- /dev/null +++ b/docs/v0.3.0/docs/deploying.html @@ -0,0 +1,22 @@ + + + + + +Deploying Llama Stack | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/deploying/aws_eks_deployment.html b/docs/v0.3.0/docs/deploying/aws_eks_deployment.html new file mode 100644 index 00000000..d7a798f3 --- /dev/null +++ b/docs/v0.3.0/docs/deploying/aws_eks_deployment.html @@ -0,0 +1,33 @@ + + + + + +AWS EKS Deployment Guide | Llama Stack + + + + + + + + + + + +

AWS EKS Deployment Guide

AWS EKS Deployment​

+

Prerequisites​

+
    +
  • Set up an EKS cluster
    • +
  • Create a GitHub OAuth app
    • +
  • Set authorization callback URL to http://<your-llama-stack-ui-url>/api/auth/callback/
    • +
+

Automated Deployment​

+
export HF_TOKEN=<your-huggingface-token>
export GITHUB_CLIENT_ID=<your-github-client-id>
export GITHUB_CLIENT_SECRET=<your-github-client-secret>
export LLAMA_STACK_UI_URL=<your-llama-stack-ui-url>

cd docs/source/distributions/eks
./apply.sh
+

This script will:

+
    +
  • Set up default storage class for AWS EKS
    • +
  • Deploy Llama Stack server in Kubernetes pods and services
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/deploying/kubernetes_deployment.html b/docs/v0.3.0/docs/deploying/kubernetes_deployment.html new file mode 100644 index 00000000..62b2beef --- /dev/null +++ b/docs/v0.3.0/docs/deploying/kubernetes_deployment.html @@ -0,0 +1,52 @@ + + + + + +Kubernetes Deployment Guide | Llama Stack + + + + + + + + + + + +

Kubernetes Deployment Guide

+

Deploy Llama Stack and vLLM servers in a Kubernetes cluster instead of running them locally. This guide covers both local development with Kind and production deployment on AWS EKS.

+

Prerequisites​

+

Local Kubernetes Setup​

+

Create a local Kubernetes cluster via Kind:

+
kind create cluster --image kindest/node:v1.32.0 --name llama-stack-test
+

Set your Hugging Face token:

+
export HF_TOKEN=$(echo -n "your-hf-token" | base64)
+

Quick Deployment​

+

Step 1: Create Storage and Secrets​

+
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: vllm-models
spec:
  accessModes:
    - ReadWriteOnce
  volumeMode: Filesystem
  resources:
    requests:
      storage: 50Gi
---
apiVersion: v1
kind: Secret
metadata:
  name: hf-token-secret
type: Opaque
data:
  token: $HF_TOKEN
EOF
+

Step 2: Deploy vLLM Server​

+
cat <<EOF | kubectl apply -f -
apiVersion: apps/v1
kind: Deployment
metadata:
  name: vllm-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: vllm
  template:
    metadata:
      labels:
        app.kubernetes.io/name: vllm
    spec:
      containers:
      - name: vllm
        image: vllm/vllm-openai:latest
        command: ["/bin/sh", "-c"]
        args: ["vllm serve meta-llama/Llama-3.2-1B-Instruct"]
        env:
        - name: HUGGING_FACE_HUB_TOKEN
          valueFrom:
            secretKeyRef:
              name: hf-token-secret
              key: token
        ports:
          - containerPort: 8000
        volumeMounts:
          - name: llama-storage
            mountPath: /root/.cache/huggingface
      volumes:
      - name: llama-storage
        persistentVolumeClaim:
          claimName: vllm-models
---
apiVersion: v1
kind: Service
metadata:
  name: vllm-server
spec:
  selector:
    app.kubernetes.io/name: vllm
  ports:
  - protocol: TCP
    port: 8000
    targetPort: 8000
  type: ClusterIP
EOF
+

Step 3: Configure Llama Stack​

+

Update your run configuration:

+
providers:
  inference:
  - provider_id: vllm
    provider_type: remote::vllm
    config:
      url: http://vllm-server.default.svc.cluster.local:8000/v1
      max_tokens: 4096
      api_token: fake
+

Build container image:

+
tmp_dir=$(mktemp -d) && cat >$tmp_dir/Containerfile.llama-stack-run-k8s <<EOF
FROM distribution-myenv:dev
RUN apt-get update && apt-get install -y git
RUN git clone https://github.com/meta-llama/llama-stack.git /app/llama-stack-source
ADD ./vllm-llama-stack-run-k8s.yaml /app/config.yaml
EOF
podman build -f $tmp_dir/Containerfile.llama-stack-run-k8s -t llama-stack-run-k8s $tmp_dir
+

Step 4: Deploy Llama Stack Server​

+
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: llama-pvc
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 1Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: llama-stack-server
spec:
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: llama-stack
  template:
    metadata:
      labels:
        app.kubernetes.io/name: llama-stack
    spec:
      containers:
      - name: llama-stack
        image: localhost/llama-stack-run-k8s:latest
        imagePullPolicy: IfNotPresent
        command: ["llama", "stack", "run", "/app/config.yaml"]
        ports:
          - containerPort: 5000
        volumeMounts:
          - name: llama-storage
            mountPath: /root/.llama
      volumes:
      - name: llama-storage
        persistentVolumeClaim:
          claimName: llama-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: llama-stack-service
spec:
  selector:
    app.kubernetes.io/name: llama-stack
  ports:
  - protocol: TCP
    port: 5000
    targetPort: 5000
  type: ClusterIP
EOF
+

Step 5: Test Deployment​

+
# Port forward and test
kubectl port-forward service/llama-stack-service 5000:5000
llama-stack-client --endpoint http://localhost:5000 inference chat-completion --message "hello, what model are you?"
+

Troubleshooting​

+

Check pod status:

+
kubectl get pods -l app.kubernetes.io/name=vllm
kubectl logs -l app.kubernetes.io/name=vllm
+

Test service connectivity:

+
kubectl run -it --rm debug --image=curlimages/curl --restart=Never -- curl http://vllm-server:8000/v1/models
+ +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions.html b/docs/v0.3.0/docs/distributions.html new file mode 100644 index 00000000..8dc9439a --- /dev/null +++ b/docs/v0.3.0/docs/distributions.html @@ -0,0 +1,31 @@ + + + + + +Distributions Overview | Llama Stack + + + + + + + + + + + +

Distributions Overview

+

A distribution is a pre-packaged set of Llama Stack components that can be deployed together.

+

This section provides an overview of the distributions available in Llama Stack.

+

Distribution Guides​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/building_distro.html b/docs/v0.3.0/docs/distributions/building_distro.html new file mode 100644 index 00000000..0c2fbf2d --- /dev/null +++ b/docs/v0.3.0/docs/distributions/building_distro.html @@ -0,0 +1,72 @@ + + + + + +Building Custom Distributions | Llama Stack + + + + + + + + + + + +

Building Custom Distributions

This guide walks you through inspecting existing distributions, customising their configuration, and building runnable artefacts for your own deployment.

+

Explore existing distributions​

+

All first-party distributions live under llama_stack/distributions/. Each directory contains:

+
    +
  • build.yaml – the distribution specification (providers, additional dependencies, optional external provider directories).
    • +
  • run.yaml – sample run configuration (when provided).
    • +
  • Documentation fragments that power this site.
    • +
+

Browse that folder to understand available providers and copy a distribution to use as a starting point. When creating a new stack, duplicate an existing directory, rename it, and adjust the build.yaml file to match your requirements.

+ +

Use the Containerfile at containers/Containerfile, which installs llama-stack, resolves distribution dependencies via llama stack list-deps, and sets the entrypoint to llama stack run.

docker build . \
  -f containers/Containerfile \
  --build-arg DISTRO_NAME=starter \
  --tag llama-stack:starter

Handy build arguments:

    +
  • DISTRO_NAME – distribution directory name (defaults to starter).
    • +
  • RUN_CONFIG_PATH – absolute path inside the build context for a run config that should be baked into the image (e.g. /workspace/run.yaml).
    • +
  • INSTALL_MODE=editable – install the repository copied into /workspace with uv pip install -e. Pair it with --build-arg LLAMA_STACK_DIR=/workspace.
    • +
  • LLAMA_STACK_CLIENT_DIR – optional editable install of the Python client.
    • +
  • PYPI_VERSION / TEST_PYPI_VERSION – pin specific releases when not using editable installs.
    • +
  • KEEP_WORKSPACE=1 – retain /workspace in the final image if you need to access additional files (such as sample configs or provider bundles).
    • +

Make sure any custom build.yaml, run configs, or provider directories you reference are included in the Docker build context so the Containerfile can read them.

+

Run your stack server​

+

After building the image, launch it directly with Docker or Podman—the entrypoint calls llama stack run using the baked distribution or the bundled run config:

+
docker run -d \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ~/.llama:/root/.llama \
  -e INFERENCE_MODEL=$INFERENCE_MODEL \
  -e OLLAMA_URL=http://host.docker.internal:11434 \
  llama-stack:starter \
  --port $LLAMA_STACK_PORT
+

Here are the docker flags and their uses:

+
    +
  • +

    -d: Runs the container in the detached mode as a background process

    +
    • +
  • +

    -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT: Maps the container port to the host port for accessing the server

    +
    • +
  • +

    -v ~/.llama:/root/.llama: Mounts the local .llama directory to persist configurations and data

    +
    • +
  • +

    localhost/distribution-ollama:dev: The name and tag of the container image to run

    +
    • +
  • +

    -e INFERENCE_MODEL=$INFERENCE_MODEL: Sets the INFERENCE_MODEL environment variable in the container

    +
    • +
  • +

    -e OLLAMA_URL=http://host.docker.internal:11434: Sets the OLLAMA_URL environment variable in the container

    +
    • +
  • +

    --port $LLAMA_STACK_PORT: Port number for the server to listen on

    +
    • +
+

If you prepared a custom run config, mount it into the container and reference it explicitly:

+
docker run \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v $(pwd)/run.yaml:/app/run.yaml \
  llama-stack:starter \
  /app/run.yaml
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/configuration.html b/docs/v0.3.0/docs/distributions/configuration.html new file mode 100644 index 00000000..ba8cbdae --- /dev/null +++ b/docs/v0.3.0/docs/distributions/configuration.html @@ -0,0 +1,292 @@ + + + + + +Configuring a "Stack" | Llama Stack + + + + + + + + + + + +

Configuring a "Stack"

+

The Llama Stack runtime configuration is specified as a YAML file. Here is a simplified version of an example configuration file for the Ollama distribution:

+
The default `run.yaml` files generated by templates are starting points for your configuration. For guidance on customizing these files for your specific needs, see [Customizing Your run.yaml Configuration](customizing_run_yaml.md).
+

```yaml
version: 2
apis:
- agents
- inference
- vector_io
- safety
- telemetry
providers:
  inference:
  - provider_id: ollama
    provider_type: remote::ollama
    config:
      url: ${env.OLLAMA_URL:=http://localhost:11434}
  vector_io:
  - provider_id: faiss
    provider_type: inline::faiss
    config:
      kvstore:
        type: sqlite
        namespace: null
        db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/faiss_store.db
  safety:
  - provider_id: llama-guard
    provider_type: inline::llama-guard
    config: {}
  agents:
  - provider_id: meta-reference
    provider_type: inline::meta-reference
    config:
      persistence:
        agent_state:
          backend: kv_default
          namespace: agents
        responses:
          backend: sql_default
          table_name: responses
  telemetry:
  - provider_id: meta-reference
    provider_type: inline::meta-reference
    config: {}
storage:
  backends:
    kv_default:
      type: kv_sqlite
      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/kvstore.db
    sql_default:
      type: sql_sqlite
      db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/sqlstore.db
  references:
    metadata:
      backend: kv_default
      namespace: registry
    inference:
      backend: sql_default
      table_name: inference_store
models:
- metadata: {}
  model_id: ${env.INFERENCE_MODEL}
  provider_id: ollama
  provider_model_id: null
shields: []
server:
  port: 8321
  auth:
    provider_config:
      type: "oauth2_token"
      jwks:
        uri: "https://my-token-issuing-svc.com/jwks"
+

Let's break this down into the different sections. The first section specifies the set of APIs that the stack server will serve:

+
apis:
- agents
- inference
- vector_io
- safety
- telemetry
+

Providers​

+

Next up is the most critical part: the set of providers that the stack will use to serve the above APIs. Consider the inference API:

+
providers:
  inference:
    # provider_id is a string you can choose freely
  - provider_id: ollama
    # provider_type is a string that specifies the type of provider.
    # in this case, the provider for inference is ollama and it runs remotely (outside of the distribution)
    provider_type: remote::ollama
    # config is a dictionary that contains the configuration for the provider.
    # in this case, the configuration is the url of the ollama server
    config:
      url: ${env.OLLAMA_URL:=http://localhost:11434}
+

A few things to note:

+
    +
  • A provider instance is identified with an (id, type, config) triplet.
    • +
  • The id is a string you can choose freely.
    • +
  • You can instantiate any number of provider instances of the same type.
    • +
  • The configuration dictionary is provider-specific.
    • +
  • Notice that configuration can reference environment variables (with default values), which are expanded at runtime. When you run a stack server, you can set environment variables in your shell before running llama stack run to override the default values.
    • +
+

Environment Variable Substitution​

+

Llama Stack supports environment variable substitution in configuration values using the +${env.VARIABLE_NAME} syntax. This allows you to externalize configuration values and provide +different settings for different environments. The syntax is inspired by bash parameter expansion +and follows similar patterns.

+

Basic Syntax​

+

The basic syntax for environment variable substitution is:

+
config:
  api_key: ${env.API_KEY}
  url: ${env.SERVICE_URL}
+

If the environment variable is not set, the server will raise an error during startup.

+

Default Values​

+

You can provide default values using the := operator:

+
config:
  url: ${env.OLLAMA_URL:=http://localhost:11434}
  port: ${env.PORT:=8321}
  timeout: ${env.TIMEOUT:=60}
+

If the environment variable is not set, the default value http://localhost:11434 will be used. +Empty defaults are allowed so url: ${env.OLLAMA_URL:=} will be set to None if the environment variable is not set.

+

Conditional Values​

+

You can use the :+ operator to provide a value only when the environment variable is set:

+
config:
  # Only include this field if ENVIRONMENT is set
  environment: ${env.ENVIRONMENT:+production}
+

If the environment variable is set, the value after :+ will be used. If it's not set, the field +will be omitted with a None value.

+

Do not use conditional values (${env.OLLAMA_URL:+}) for empty defaults (${env.OLLAMA_URL:=}). +This will be set to None if the environment variable is not set. +Conditional must only be used when the environment variable is set.

+

Examples​

+

Here are some common patterns:

+
# Required environment variable (will error if not set)
api_key: ${env.OPENAI_API_KEY}

# Optional with default
base_url: ${env.API_BASE_URL:=https://api.openai.com/v1}

# Conditional field
debug_mode: ${env.DEBUG:+true}

# Optional field that becomes None if not set
optional_token: ${env.OPTIONAL_TOKEN:+}
+

Runtime Override​

+

You can override environment variables at runtime by setting them in your shell before starting the server:

+
# Set environment variables in your shell
export API_KEY=sk-123
export BASE_URL=https://custom-api.com
llama stack run --config run.yaml
+

Type Safety​

+

The environment variable substitution system is type-safe:

+
    +
  • String values remain strings
    • +
  • Empty defaults (${env.VAR:+}) are converted to None for fields that accept str | None
    • +
  • Numeric defaults are properly typed (e.g., ${env.PORT:=8321} becomes an integer)
    • +
  • Boolean defaults work correctly (e.g., ${env.DEBUG:=false} becomes a boolean)
    • +
+

Resources​

+

Let's look at the models section:

+
models:
- metadata: {}
  model_id: ${env.INFERENCE_MODEL}
  provider_id: ollama
  provider_model_id: null
  model_type: llm
+

A Model is an instance of a "Resource" (see Concepts) and is associated with a specific inference provider (in this case, the provider with identifier ollama). This is an instance of a "pre-registered" model. While we always encourage the clients to register models before using them, some Stack servers may come up a list of "already known and available" models.

+

What's with the provider_model_id field? This is an identifier for the model inside the provider's model catalog. Contrast it with model_id which is the identifier for the same model for Llama Stack's purposes. For example, you may want to name "llama3.2:vision-11b" as "image_captioning_model" when you use it in your Stack interactions. When omitted, the server will set provider_model_id to be the same as model_id.

+

If you need to conditionally register a model in the configuration, such as only when specific environment variable(s) are set, this can be accomplished by utilizing a special __disabled__ string as the default value of an environment variable substitution, as shown below:

+
models:
- metadata: {}
  model_id: ${env.INFERENCE_MODEL:__disabled__}
  provider_id: ollama
  provider_model_id: ${env.INFERENCE_MODEL:__disabled__}
+

The snippet above will only register this model if the environment variable INFERENCE_MODEL is set and non-empty. If the environment variable is not set, the model will not get registered at all.

+

Server Configuration​

+

The server section configures the HTTP server that serves the Llama Stack APIs:

+
server:
  port: 8321  # Port to listen on (default: 8321)
  tls_certfile: "/path/to/cert.pem"  # Optional: Path to TLS certificate for HTTPS
  tls_keyfile: "/path/to/key.pem"    # Optional: Path to TLS key for HTTPS
  cors: true  # Optional: Enable CORS (dev mode) or full config object
+

CORS Configuration​

+

CORS (Cross-Origin Resource Sharing) can be configured in two ways:

+

Local development (allows localhost origins only):

+
server:
  cors: true
+

Explicit configuration (custom origins and settings):

+
server:
  cors:
    allow_origins: ["https://myapp.com", "https://app.example.com"]
    allow_methods: ["GET", "POST", "PUT", "DELETE"]
    allow_headers: ["Content-Type", "Authorization"]
    allow_credentials: true
    max_age: 3600
+

When cors: true, the server enables secure localhost-only access for local development. For production, specify exact origins to maintain security.

+

Authentication Configuration​

+
+

Breaking Change (v0.2.14): The authentication configuration structure has changed. The previous format with provider_type and config fields has been replaced with a unified provider_config field that includes the type field. Update your configuration files accordingly.

+
+

The auth section configures authentication for the server. When configured, all API requests must include a valid Bearer token in the Authorization header:

+
Authorization: Bearer <token>
+

The server supports multiple authentication providers:

+

OAuth 2.0/OpenID Connect Provider with Kubernetes​

+

The server can be configured to use service account tokens for authorization, validating these against the Kubernetes API server, e.g.:

+
server:
  auth:
    provider_config:
      type: "oauth2_token"
      jwks:
        uri: "https://kubernetes.default.svc:8443/openid/v1/jwks"
        token: "${env.TOKEN:+}"
        key_recheck_period: 3600
      tls_cafile: "/path/to/ca.crt"
      issuer: "https://kubernetes.default.svc"
      audience: "https://kubernetes.default.svc"
+

To find your cluster's jwks uri (from which the public key(s) to verify the token signature are obtained), run:

+
kubectl get --raw /.well-known/openid-configuration| jq -r .jwks_uri
+

For the tls_cafile, you can use the CA certificate of the OIDC provider:

+
kubectl config view --minify -o jsonpath='{.clusters[0].cluster.certificate-authority}'
+

For the issuer, you can use the OIDC provider's URL:

+
kubectl get --raw /.well-known/openid-configuration| jq .issuer
+

The audience can be obtained from a token, e.g. run:

+
kubectl create token default --duration=1h | cut -d. -f2 | base64 -d | jq .aud
+

The jwks token is used to authorize access to the jwks endpoint. You can obtain a token by running:

+
kubectl create namespace llama-stack
kubectl create serviceaccount llama-stack-auth -n llama-stack
kubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token
export TOKEN=$(cat llama-stack-auth-token)
+

Alternatively, you can configure the jwks endpoint to allow anonymous access. To do this, make sure +the kube-apiserver runs with --anonymous-auth=true to allow unauthenticated requests +and that the correct RoleBinding is created to allow the service account to access the necessary +resources. If that is not the case, you can create a RoleBinding for the service account to access +the necessary resources:

+
# allow-anonymous-openid.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: allow-anonymous-openid
rules:
- nonResourceURLs: ["/openid/v1/jwks"]
  verbs: ["get"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: allow-anonymous-openid
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: allow-anonymous-openid
subjects:
- kind: User
  name: system:anonymous
  apiGroup: rbac.authorization.k8s.io
+

And then apply the configuration:

+
kubectl apply -f allow-anonymous-openid.yaml
+

The provider extracts user information from the JWT token:

+
    +
  • Username from the sub claim becomes a role
    • +
  • Kubernetes groups become teams
    • +
+

You can easily validate a request by running:

+
curl -s -L -H "Authorization: Bearer $(cat llama-stack-auth-token)" http://127.0.0.1:8321/v1/providers
+

Kubernetes Authentication Provider​

+

The server can be configured to use Kubernetes SelfSubjectReview API to validate tokens directly against the Kubernetes API server:

+
server:
  auth:
    provider_config:
      type: "kubernetes"
      api_server_url: "https://kubernetes.default.svc"
      claims_mapping:
        username: "roles"
        groups: "roles"
        uid: "uid_attr"
      verify_tls: true
      tls_cafile: "/path/to/ca.crt"
+

Configuration options:

+
    +
  • api_server_url: The Kubernetes API server URL (e.g., https://kubernetes.default.svc:6443)
    • +
  • verify_tls: Whether to verify TLS certificates (default: true)
    • +
  • tls_cafile: Path to CA certificate file for TLS verification
    • +
  • claims_mapping: Mapping of Kubernetes user claims to access attributes
    • +
+

The provider validates tokens by sending a SelfSubjectReview request to the Kubernetes API server at /apis/authentication.k8s.io/v1/selfsubjectreviews. The provider extracts user information from the response:

+
    +
  • Username from the userInfo.username field
    • +
  • Groups from the userInfo.groups field
    • +
  • UID from the userInfo.uid field
    • +
+

To obtain a token for testing:

+
kubectl create namespace llama-stack
kubectl create serviceaccount llama-stack-auth -n llama-stack
kubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token
+

You can validate a request by running:

+
curl -s -L -H "Authorization: Bearer $(cat llama-stack-auth-token)" http://127.0.0.1:8321/v1/providers
+

GitHub Token Provider​

+

Validates GitHub personal access tokens or OAuth tokens directly:

+
server:
  auth:
    provider_config:
      type: "github_token"
      github_api_base_url: "https://api.github.com"  # Or GitHub Enterprise URL
+

The provider fetches user information from GitHub and maps it to access attributes based on the claims_mapping configuration.

+

Custom Provider​

+

Validates tokens against a custom authentication endpoint:

+
server:
  auth:
    provider_config:
      type: "custom"
      endpoint: "https://auth.example.com/validate"  # URL of the auth endpoint
+

The custom endpoint receives a POST request with:

+
{
  "api_key": "<token>",
  "request": {
    "path": "/api/v1/endpoint",
    "headers": {
      "content-type": "application/json",
      "user-agent": "curl/7.64.1"
    },
    "params": {
      "key": ["value"]
    }
  }
}
+

And must respond with:

+
{
  "access_attributes": {
    "roles": ["admin", "user"],
    "teams": ["ml-team", "nlp-team"],
    "projects": ["llama-3", "project-x"],
    "namespaces": ["research"]
  },
  "message": "Authentication successful"
}
+

If no access attributes are returned, the token is used as a namespace.

+

Access control​

+

When authentication is enabled, access to resources is controlled +through the access_policy attribute of the auth config section under +server. The value for this is a list of access rules.

+

Each access rule defines a list of actions either to permit or to +forbid. It may specify a principal or a resource that must match for +the rule to take effect.

+

Valid actions are create, read, update, and delete. The resource to +match should be specified in the form of a type qualified identifier, +e.g. model::my-model or vector_db::some-db, or a wildcard for all +resources of a type, e.g. model::*. If the principal or resource are +not specified, they will match all requests.

+

The valid resource types are model, shield, vector_db, dataset, +scoring_function, benchmark, tool, tool_group and session.

+

A rule may also specify a condition, either a 'when' or an 'unless', +with additional constraints as to where the rule applies. The +constraints supported at present are:

+
    +
  • 'user with <attr-value> in <attr-name>'
    • +
  • 'user with <attr-value> not in <attr-name>'
    • +
  • 'user is owner'
    • +
  • 'user is not owner'
    • +
  • 'user in owners <attr-name>'
    • +
  • 'user not in owners <attr-name>'
    • +
+

The attributes defined for a user will depend on how the auth +configuration is defined.

+

When checking whether a particular action is allowed by the current +user for a resource, all the defined rules are tested in order to find +a match. If a match is found, the request is permitted or forbidden +depending on the type of rule. If no match is found, the request is +denied.

+

If no explicit rules are specified, a default policy is defined with +which all users can access all resources defined in config but +resources created dynamically can only be accessed by the user that +created them.

+

Examples:

+

The following restricts access to particular github users:

+
server:
  auth:
    provider_config:
      type: "github_token"
      github_api_base_url: "https://api.github.com"
    access_policy:
    - permit:
        principal: user-1
        actions: [create, read, delete]
      description: user-1 has full access to all resources
    - permit:
        principal: user-2
        actions: [read]
        resource: model::model-1
      description: user-2 has read access to model-1 only
+

Similarly, the following restricts access to particular kubernetes +service accounts:

+
server:
  auth:
    provider_config:
      type: "oauth2_token"
      audience: https://kubernetes.default.svc.cluster.local
      issuer: https://kubernetes.default.svc.cluster.local
      tls_cafile: /home/gsim/.minikube/ca.crt
      jwks:
        uri: https://kubernetes.default.svc.cluster.local:8443/openid/v1/jwks
        token: ${env.TOKEN}
    access_policy:
    - permit:
        principal: system:serviceaccount:my-namespace:my-serviceaccount
        actions: [create, read, delete]
      description: specific serviceaccount has full access to all resources
    - permit:
        principal: system:serviceaccount:default:default
        actions: [read]
        resource: model::model-1
      description: default account has read access to model-1 only
+

The following policy, which assumes that users are defined with roles +and teams by whichever authentication system is in use, allows any +user with a valid token to use models, create resources other than +models, read and delete resources they created and read resources +created by users sharing a team with them:

+
    access_policy:
    - permit:
        actions: [read]
        resource: model::*
      description: all users have read access to models
    - forbid:
        actions: [create, delete]
        resource: model::*
      unless: user with admin in roles
      description: only user with admin role can create or delete models
    - permit:
        actions: [create, read, delete]
      when: user is owner
      description: users can create resources other than models and read and delete those they own
    - permit:
        actions: [read]
      when: user in owner teams
      description: any user has read access to any resource created by a user with the same team
+

API Endpoint Authorization with Scopes​

+

In addition to resource-based access control, Llama Stack supports endpoint-level authorization using OAuth 2.0 style scopes. When authentication is enabled, specific API endpoints require users to have particular scopes in their authentication token.

+

Scope-Gated APIs: +The following APIs are currently gated by scopes:

+
    +
  • Telemetry API (scope: telemetry.read): +
      +
    • POST /telemetry/traces - Query traces
      • +
    • GET /telemetry/traces/{trace_id} - Get trace by ID
      • +
    • GET /telemetry/traces/{trace_id}/spans/{span_id} - Get span by ID
      • +
    • POST /telemetry/spans/{span_id}/tree - Get span tree
      • +
    • POST /telemetry/spans - Query spans
      • +
    • POST /telemetry/metrics/{metric_name} - Query metrics
      • +
    +
    • +
+

Authentication Configuration:

+

For JWT/OAuth2 providers, scopes should be included in the JWT's claims:

+
{
  "sub": "user123",
  "scope": "telemetry.read",
  "aud": "llama-stack"
}
+

For custom authentication providers, the endpoint must return user attributes including the scopes array:

+
{
  "principal": "user123",
  "attributes": {
    "scopes": ["telemetry.read"]
  }
}
+

Behavior:

+
    +
  • Users without the required scope receive a 403 Forbidden response
    • +
  • When authentication is disabled, scope checks are bypassed
    • +
  • Endpoints without required_scope work normally for all authenticated users
    • +
+

Quota Configuration​

+

The quota section allows you to enable server-side request throttling for both +authenticated and anonymous clients. This is useful for preventing abuse, enforcing +fairness across tenants, and controlling infrastructure costs without requiring +client-side rate limiting or external proxies.

+

Quotas are disabled by default. When enabled, each client is tracked using either:

+
    +
  • Their authenticated client_id (derived from the Bearer token), or
    • +
  • Their IP address (fallback for anonymous requests)
    • +
+

Quota state is stored in a SQLite-backed key-value store, and rate limits are applied +within a configurable time window (currently only day is supported).

+

Example​

+
server:
  quota:
    kvstore:
      type: sqlite
      db_path: ./quotas.db
    anonymous_max_requests: 100
    authenticated_max_requests: 1000
    period: day
+

Configuration Options​

+
FieldDescription
kvstoreRequired. Backend storage config for tracking request counts.
kvstore.typeMust be "sqlite" for now. Other backends may be supported in the future.
kvstore.db_pathFile path to the SQLite database.
anonymous_max_requestsMax requests per period for unauthenticated clients.
authenticated_max_requestsMax requests per period for authenticated clients.
periodTime window for quota enforcement. Only "day" is supported.
+
+

Note: if authenticated_max_requests is set but no authentication provider is +configured, the server will fall back to applying anonymous_max_requests to all +clients.

+
+

Example with Authentication Enabled​

+
server:
  port: 8321
  auth:
    provider_config:
      type: custom
      endpoint: https://auth.example.com/validate
  quota:
    kvstore:
      type: sqlite
      db_path: ./quotas.db
    anonymous_max_requests: 100
    authenticated_max_requests: 1000
    period: day
+

If a client exceeds their limit, the server responds with:

+
HTTP/1.1 429 Too Many Requests
Content-Type: application/json

{
  "error": {
    "message": "Quota exceeded"
  }
}
+

CORS Configuration​

+

Configure CORS to allow web browsers to make requests from different domains. Disabled by default.

+

Quick Setup​

+

For development, use the simple boolean flag:

+
server:
  cors: true  # Auto-enables localhost with any port
+

This automatically allows http://localhost:* and https://localhost:* with secure defaults.

+

Custom Configuration​

+

For specific origins and full control:

+
server:
  cors:
    allow_origins: ["https://myapp.com", "https://staging.myapp.com"]
    allow_credentials: true
    allow_methods: ["GET", "POST", "PUT", "DELETE"]
    allow_headers: ["Content-Type", "Authorization"]
    allow_origin_regex: "https://.*\\.example\\.com"  # Optional regex pattern
    expose_headers: ["X-Total-Count"]
    max_age: 86400
+

Configuration Options​

+
FieldDescriptionDefault
allow_originsList of allowed origins. Use ["*"] for any.["*"]
allow_origin_regexRegex pattern for allowed origins (optional).None
allow_methodsAllowed HTTP methods.["*"]
allow_headersAllowed headers.["*"]
allow_credentialsAllow credentials (cookies, auth headers).false
expose_headersHeaders exposed to browser.[]
max_agePreflight cache time (seconds).600
+

Security Notes:

+
    +
  • allow_credentials: true requires explicit origins (no wildcards)
    • +
  • cors: true enables localhost access only (secure for development)
    • +
  • For public APIs, always specify exact allowed origins
    • +
+

Extending to handle Safety​

+

Configuring Safety can be a little involved so it is instructive to go through an example.

+

The Safety API works with the associated Resource called a Shield. Providers can support various kinds of Shields. Good examples include the Llama Guard system-safety models, or Bedrock Guardrails.

+

To configure a Bedrock Shield, you would need to add:

+
    +
  • A Safety API provider instance with type remote::bedrock
    • +
  • A Shield resource served by this provider.
    • +
+
...
providers:
  safety:
  - provider_id: bedrock
    provider_type: remote::bedrock
    config:
      aws_access_key_id: ${env.AWS_ACCESS_KEY_ID}
      aws_secret_access_key: ${env.AWS_SECRET_ACCESS_KEY}
...
shields:
- provider_id: bedrock
  params:
    guardrailVersion: ${env.GUARDRAIL_VERSION}
  provider_shield_id: ${env.GUARDRAIL_ID}
...
+

The situation is more involved if the Shield needs Inference of an associated model. This is the case with Llama Guard. In that case, you would need to add:

+
    +
  • A Safety API provider instance with type inline::llama-guard
    • +
  • An Inference API provider instance for serving the model.
    • +
  • A Model resource associated with this provider.
    • +
  • A Shield resource served by the Safety provider.
    • +
+

The yaml configuration for this setup, assuming you were using vLLM as your inference server, would look like:

+
...
providers:
  safety:
  - provider_id: llama-guard
    provider_type: inline::llama-guard
    config: {}
  inference:
  # this vLLM server serves the "normal" inference model (e.g., llama3.2:3b)
  - provider_id: vllm-0
    provider_type: remote::vllm
    config:
      url: ${env.VLLM_URL:=http://localhost:8000}
  # this vLLM server serves the llama-guard model (e.g., llama-guard:3b)
  - provider_id: vllm-1
    provider_type: remote::vllm
    config:
      url: ${env.SAFETY_VLLM_URL:=http://localhost:8001}
...
models:
- metadata: {}
  model_id: ${env.INFERENCE_MODEL}
  provider_id: vllm-0
  provider_model_id: null
- metadata: {}
  model_id: ${env.SAFETY_MODEL}
  provider_id: vllm-1
  provider_model_id: null
shields:
- provider_id: llama-guard
  shield_id: ${env.SAFETY_MODEL}   # Llama Guard shields are identified by the corresponding LlamaGuard model
  provider_shield_id: null
...
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/customizing_run_yaml.html b/docs/v0.3.0/docs/distributions/customizing_run_yaml.html new file mode 100644 index 00000000..3b0ce805 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/customizing_run_yaml.html @@ -0,0 +1,50 @@ + + + + + +Customizing run.yaml | Llama Stack + + + + + + + + + + + +

Customizing run.yaml Files

+

The run.yaml files generated by Llama Stack templates are starting points designed to be customized for your specific needs. They are not meant to be used as-is in production environments.

+

Key Points​

+
    +
  • Templates are starting points: Generated run.yaml files contain defaults for development/testing
    • +
  • Customization expected: Update URLs, credentials, models, and settings for your environment
    • +
  • Version control separately: Keep customized configs in your own repository
    • +
  • Environment-specific: Create different configurations for dev, staging, production
    • +
+

What You Can Customize​

+

You can customize:

+
    +
  • Provider endpoints: Change http://localhost:8000 to your actual servers
    • +
  • Swap providers: Replace default providers (e.g., swap Tavily with Brave for search)
    • +
  • Storage paths: Move from /tmp/ to production directories
    • +
  • Authentication: Add API keys, SSL, timeouts
    • +
  • Models: Different model sizes for dev vs prod
    • +
  • Database settings: Switch from SQLite to PostgreSQL
    • +
  • Tool configurations: Add custom tools and integrations
    • +
+

Best Practices​

+
    +
  • Use environment variables for secrets and environment-specific values
    • +
  • Create separate run.yaml files for different environments (dev, staging, prod)
    • +
  • Document your changes with comments
    • +
  • Test configurations before deployment
    • +
  • Keep your customized configs in version control
    • +
+

Example structure:

+
your-project/
├── configs/
│   ├── dev-run.yaml
│   ├── prod-run.yaml
└── README.md
+

The goal is to take the generated template and adapt it to your specific infrastructure and operational needs.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/importing_as_library.html b/docs/v0.3.0/docs/distributions/importing_as_library.html new file mode 100644 index 00000000..926cb87f --- /dev/null +++ b/docs/v0.3.0/docs/distributions/importing_as_library.html @@ -0,0 +1,30 @@ + + + + + +Using Llama Stack as a Library | Llama Stack + + + + + + + + + + + +

Using Llama Stack as a Library

+

Setup Llama Stack without a Server​

+

If you are planning to use an external service for Inference (even Ollama or TGI counts as external), it is often easier to use Llama Stack as a library. +This avoids the overhead of setting up a server.

+
# setup
uv pip install llama-stack
llama stack list-deps starter | xargs -L1 uv pip install
+
from llama_stack.core.library_client import LlamaStackAsLibraryClient

client = LlamaStackAsLibraryClient(
    "starter",
    # provider_data is optional, but if you need to pass in any provider specific data, you can do so here.
    provider_data={"tavily_search_api_key": os.environ["TAVILY_SEARCH_API_KEY"]},
)
+

This will parse your config and set up any inline implementations and remote clients needed for your implementation.

+

Then, you can access the APIs like models and inference on the client and call their methods directly:

+
response = client.models.list()
+

If you've created a custom distribution, you can also use the run.yaml configuration file directly:

+
client = LlamaStackAsLibraryClient(config_path)
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/list_of_distributions.html b/docs/v0.3.0/docs/distributions/list_of_distributions.html new file mode 100644 index 00000000..39247789 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/list_of_distributions.html @@ -0,0 +1,101 @@ + + + + + +Available Distributions | Llama Stack + + + + + + + + + + + +

Available Distributions

+

Llama Stack provides several pre-configured distributions to help you get started quickly. Choose the distribution that best fits your hardware and use case.

+

Quick Reference​

+
DistributionUse CaseHardware RequirementsProvider
distribution-starterGeneral purpose, prototypingAny (CPU/GPU)Ollama, Remote APIs
distribution-meta-reference-gpuHigh-performance inferenceGPU requiredLocal GPU inference
Remote-hostedProduction, managed serviceNonePartner providers
iOS/Android SDKMobile applicationsMobile deviceOn-device inference
+

Choose Your Distribution​

+

🚀 Getting Started (Recommended for Beginners)​

+

Use distribution-starter if you want to:

+
    +
  • Prototype quickly without GPU requirements
    • +
  • Use remote inference providers (Fireworks, Together, vLLM etc.)
    • +
  • Run locally with Ollama for development
    • +
+
docker pull llama-stack/distribution-starter
+

Guides: Starter Distribution Guide

+

🖥️ Self-Hosted with GPU​

+

Use distribution-meta-reference-gpu if you:

+
    +
  • Have access to GPU hardware
    • +
  • Want maximum performance and control
    • +
  • Need to run inference locally
    • +
+
docker pull llama-stack/distribution-meta-reference-gpu
+

Guides: Meta Reference GPU Guide

+

🖥️ Self-Hosted with NVIDA NeMo Microservices​

+

Use nvidia if you:

+
    +
  • Want to use Llama Stack with NVIDIA NeMo Microservices
    • +
+

Guides: NVIDIA Distribution Guide

+

☁️ Managed Hosting​

+

Use remote-hosted endpoints if you:

+
    +
  • Don't want to manage infrastructure
    • +
  • Need production-ready reliability
    • +
  • Prefer managed services
    • +
+

Partners: Fireworks.ai and Together.xyz

+

Guides: Remote-Hosted Endpoints

+

📱 Mobile Development​

+

Use mobile SDKs if you:

+
    +
  • +

    Are building iOS or Android applications

    +
    • +
  • +

    Need on-device inference capabilities

    +
    • +
  • +

    Want offline functionality

    +
    • +
  • +

    iOS SDK

    +
    • +
  • +

    Android SDK

    +
    • +
+

🔧 Custom Solutions​

+

Build your own distribution if:

+
    +
  • None of the above fit your specific needs
    • +
  • You need custom configurations
    • +
  • You want to optimize for your specific use case
    • +
+

Guides: Building Custom Distributions

+

Detailed Documentation​

+

Self-Hosted Distributions​

+
:maxdepth: 1

self_hosted_distro/starter
self_hosted_distro/meta-reference-gpu
+

Remote-Hosted Solutions​

+
:maxdepth: 1

remote_hosted_distro/index
+

Mobile SDKs​

+
:maxdepth: 1

ondevice_distro/ios_sdk
ondevice_distro/android_sdk
+

Decision Flow​

+
graph TD
    A[What's your use case?] --> B{Need mobile app?}
    B -->|Yes| C[Use Mobile SDKs]
    B -->|No| D{Have GPU hardware?}
    D -->|Yes| E[Use Meta Reference GPU]
    D -->|No| F{Want managed hosting?}
    F -->|Yes| G[Use Remote-Hosted]
    F -->|No| H[Use Starter Distribution]
+

Next Steps​

+
    +
  1. Choose your distribution from the options above
    2. +
  2. Follow the setup guide for your selected distribution
    3. +
  3. Configure your providers with API keys or local models
    4. +
  4. Start building with Llama Stack!
    5. +
+

For help choosing or troubleshooting, check our Getting Started Guide or Community Support.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/ondevice_distro/android_sdk.html b/docs/v0.3.0/docs/distributions/ondevice_distro/android_sdk.html new file mode 100644 index 00000000..f5f1ad3f --- /dev/null +++ b/docs/v0.3.0/docs/distributions/ondevice_distro/android_sdk.html @@ -0,0 +1,142 @@ + + + + + +Llama Stack Client Kotlin API Library | Llama Stack + + + + + + + + + + + +

Llama Stack Client Kotlin API Library

+

We are excited to share a guide for a Kotlin Library that brings front the benefits of Llama Stack to your Android device. This library is a set of SDKs that provide a simple and effective way to integrate AI capabilities into your Android app whether it is local (on-device) or remote inference.

+

Features:

+
    +
  • Local Inferencing: Run Llama models purely on-device with real-time processing. We currently utilize ExecuTorch as the local inference distributor and may support others in the future. +
      +
    • ExecuTorch is a complete end-to-end solution within the PyTorch framework for inferencing capabilities on-device with high portability and seamless performance.
      • +
    +
    • +
  • Remote Inferencing: Perform inferencing tasks remotely with Llama models hosted on a remote connection (or serverless localhost).
    • +
  • Simple Integration: With easy-to-use APIs, a developer can quickly integrate Llama Stack in their Android app. The difference with local vs remote inferencing is also minimal.
    • +
+

Latest Release Notes: link

+

Tagged releases are stable versions of the project. While we strive to maintain a stable main branch, it's not guaranteed to be free of bugs or issues.

+

Android Demo App​

+

Check out our demo app to see how to integrate Llama Stack into your Android app: Android Demo App

+

The key files in the app are ExampleLlamaStackLocalInference.kt, ExampleLlamaStackRemoteInference.kts, and MainActivity.java. With encompassed business logic, the app shows how to use Llama Stack for both the environments.

+

Quick Start​

+

Add Dependencies​

+

Kotlin Library​

+

Add the following dependency in your build.gradle.kts file:

+
dependencies {
 implementation("com.llama.llamastack:llama-stack-client-kotlin:0.2.2")
}
+

This will download jar files in your gradle cache in a directory like ~/.gradle/caches/modules-2/files-2.1/com.llama.llamastack/

+

If you plan on doing remote inferencing this is sufficient to get started.

+

Dependency for Local​

+

For local inferencing, it is required to include the ExecuTorch library into your app.

+

Include the ExecuTorch library by:

+
    +
  1. Download the download-prebuilt-et-lib.sh script file from the llama-stack-client-kotlin-client-local directory to your local machine.
    2. +
  2. Move the script to the top level of your Android app where the app directory resides.
    3. +
  3. Run sh download-prebuilt-et-lib.sh to create an app/libs directory and download the executorch.aar in that path. This generates an ExecuTorch library for the XNNPACK delegate.
    4. +
  4. Add the executorch.aar dependency in your build.gradle.kts file:
    5. +
+
dependencies {
  ...
  implementation(files("libs/executorch.aar"))
  ...
}
+

See other dependencies for the local RAG in Android app README.

+

Llama Stack APIs in Your Android App​

+

Breaking down the demo app, this section will show the core pieces that are used to initialize and run inference with Llama Stack using the Kotlin library.

+

Setup Remote Inferencing​

+

Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution:

+
uv venv starter --python 3.12
source starter/bin/activate  # On Windows: starter\Scripts\activate
pip install --no-cache llama-stack==0.2.2
llama stack list-deps starter | xargs -L1 uv pip install
export FIREWORKS_API_KEY=<SOME_KEY>
llama stack run starter --port 5050
+

Ensure the Llama Stack server version is the same as the Kotlin SDK Library for maximum compatibility.

+

Other inference providers: Table

+

How to set remote localhost in Demo App: Settings

+

Initialize the Client​

+

A client serves as the primary interface for interacting with a specific inference type and its associated parameters. Only after client is initialized then you can configure and start inferences.

+
Local InferenceRemote Inference
client = LlamaStackClientLocalClient
                    .builder()
                    .modelPath(modelPath)
                    .tokenizerPath(tokenizerPath)
                    .temperature(temperature)
                    .build()
// remoteURL is a string like "http://localhost:5050"
client = LlamaStackClientOkHttpClient
                .builder()
                .baseUrl(remoteURL)
                .build()
+

Run Inference​

+

With the Kotlin Library managing all the major operational logic, there are minimal to no changes when running simple chat inference for local or remote:

+
val result = client!!.inference().chatCompletion(
            InferenceChatCompletionParams.builder()
                .modelId(modelName)
                .messages(listOfMessages)
                .build()
        )

// response contains string with response from model
var response = result.asChatCompletionResponse().completionMessage().content().string();
+

[Remote only] For inference with a streaming response:

+
val result = client!!.inference().chatCompletionStreaming(
            InferenceChatCompletionParams.builder()
                .modelId(modelName)
                .messages(listOfMessages)
                .build()
        )

// Response can be received as a asChatCompletionResponseStreamChunk as part of a callback.
// See Android demo app for a detailed implementation example.
+

Setup Custom Tool Calling​

+

Android demo app for more details: Custom Tool Calling

+

Advanced Users​

+

The purpose of this section is to share more details with users that would like to dive deeper into the Llama Stack Kotlin Library. Whether you’re interested in contributing to the open source library, debugging or just want to learn more, this section is for you!

+

Prerequisite​

+

You must complete the following steps:

+
    +
  1. Clone the repo (git clone https://github.com/meta-llama/llama-stack-client-kotlin.git -b latest-release)
    2. +
  2. Port the appropriate ExecuTorch libraries over into your Llama Stack Kotlin library environment.
    3. +
+
cd llama-stack-client-kotlin-client-local
sh download-prebuilt-et-lib.sh --unzip
+

Now you will notice that the jni/ , libs/, and AndroidManifest.xml files from the executorch.aar file are present in the local module. This way the local client module will be able to realize the ExecuTorch SDK.

+

Building for Development/Debugging​

+

If you’d like to contribute to the Kotlin library via development, debug, or add play around with the library with various print statements, run the following command in your terminal under the llama-stack-client-kotlin directory.

+
sh build-libs.sh
+

Output: .jar files located in the build-jars directory

+

Copy the .jar files over to the lib directory in your Android app. At the same time make sure to remove the llama-stack-client-kotlin dependency within your build.gradle.kts file in your app (or if you are using the demo app) to avoid having multiple llama stack client dependencies.

+

Additional Options for Local Inferencing​

+

Currently we provide additional properties support with local inferencing. In order to get the tokens/sec metric for each inference call, add the following code in your Android app after you run your chatCompletion inference function. The Reference app has this implementation as well:

+
var tps = (result.asChatCompletionResponse()._additionalProperties()["tps"] as JsonNumber).value as Float
+

We will be adding more properties in the future.

+

Additional Options for Remote Inferencing​

+

Network options​

+
Retries​
+

Requests that experience certain errors are automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default. +You can provide a maxRetries on the client builder to configure this:

+
val client = LlamaStackClientOkHttpClient.builder()
    .fromEnv()
    .maxRetries(4)
    .build()
+
Timeouts​
+

Requests time out after 1 minute by default. You can configure this on the client builder:

+
val client = LlamaStackClientOkHttpClient.builder()
    .fromEnv()
    .timeout(Duration.ofSeconds(30))
    .build()
+
Proxies​
+

Requests can be routed through a proxy. You can configure this on the client builder:

+
val client = LlamaStackClientOkHttpClient.builder()
    .fromEnv()
    .proxy(new Proxy(
        Type.HTTP,
        new InetSocketAddress("proxy.com", 8080)
    ))
    .build()
+
Environments​
+

Requests are made to the production environment by default. You can connect to other environments, like sandbox, via the client builder:

+
val client = LlamaStackClientOkHttpClient.builder()
    .fromEnv()
    .sandbox()
    .build()
+

Error Handling​

+

This library throws exceptions in a single hierarchy for easy handling:

+
    +
  • +

    LlamaStackClientException - Base exception for all exceptions

    +
      +
    • +

      LlamaStackClientServiceException - HTTP errors with a well-formed response body we were able to parse. The exception message and the .debuggingRequestId() will be set by the server.

      +
      400BadRequestException
      401AuthenticationException
      403PermissionDeniedException
      404NotFoundException
      422UnprocessableEntityException
      429RateLimitException
      5xxInternalServerException
      othersUnexpectedStatusCodeException
      +
      • +
    • +

      LlamaStackClientIoException - I/O networking errors

      +
      • +
    • +

      LlamaStackClientInvalidDataException - any other exceptions on the client side, e.g.:

      +
        +
      • We failed to serialize the request body
        • +
      • We failed to parse the response body (has access to response code and body)
        • +
      +
      • +
    +
    • +
+

Reporting Issues​

+

If you encountered any bugs or issues following this guide please file a bug/issue on our Github issue tracker.

+

Known Issues​

+

We're aware of the following issues and are working to resolve them:

+
    +
  1. Streaming response is a work-in-progress for local and remote inference
    2. +
  2. Due to #1, agents are not supported at the time. LS agents only work in streaming mode
    3. +
  3. Changing to another model is a work in progress for local and remote platforms
    4. +
+

Thanks​

+

We'd like to extend our thanks to the ExecuTorch team for providing their support as we integrated ExecuTorch as one of the local inference distributors for Llama Stack. Checkout ExecuTorch Github repo for more information.

+
+

The API interface is generated using the OpenAPI standard with Stainless.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/ondevice_distro/ios_sdk.html b/docs/v0.3.0/docs/distributions/ondevice_distro/ios_sdk.html new file mode 100644 index 00000000..6c147fd4 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/ondevice_distro/ios_sdk.html @@ -0,0 +1,79 @@ + + + + + +iOS SDK | Llama Stack + + + + + + + + + + + +

iOS SDK

+

We offer both remote and on-device use of Llama Stack in Swift via a single SDK llama-stack-client-swift that contains two components:

+
    +
  1. LlamaStackClient for remote
    2. +
  2. Local Inference for on-device
    3. +
+
:alt: Seamlessly switching between local, on-device inference and remote hosted inference
:width: 412px
:align: center
+

Remote Only​

+

If you don't want to run inference on-device, then you can connect to any hosted Llama Stack distribution with #1.

+
    +
  1. +

    Add https://github.com/meta-llama/llama-stack-client-swift/ as a Package Dependency in Xcode

    +
    2. +
  2. +

    Add LlamaStackClient as a framework to your app target

    +
    3. +
  3. +

    Call an API:

    +
    4. +
+
import LlamaStackClient

let agents = RemoteAgents(url: URL(string: "http://localhost:8321")!)
let request = Components.Schemas.CreateAgentTurnRequest(
        agent_id: agentId,
        messages: [
          .UserMessage(Components.Schemas.UserMessage(
            content: .case1("Hello Llama!"),
            role: .user
          ))
        ],
        session_id: self.agenticSystemSessionId,
        stream: true
      )

      for try await chunk in try await agents.createTurn(request: request) {
        let payload = chunk.event.payload
      // ...
+

Check out iOSCalendarAssistant for a complete app demo.

+

LocalInference​

+

LocalInference provides a local inference implementation powered by executorch.

+

Llama Stack currently supports on-device inference for iOS with Android coming soon. You can run on-device inference on Android today using executorch, PyTorch’s on-device inference library.

+

The APIs work the same as remote – the only difference is you'll instead use the LocalAgents / LocalInference classes and pass in a DispatchQueue:

+
private let runnerQueue = DispatchQueue(label: "org.llamastack.stacksummary")
let inference = LocalInference(queue: runnerQueue)
let agents = LocalAgents(inference: self.inference)
+

Check out iOSCalendarAssistantWithLocalInf for a complete app demo.

+

Installation​

+

We're working on making LocalInference easier to set up. For now, you'll need to import it via .xcframework:

+
    +
  1. Clone the executorch submodule in this repo and its dependencies: git submodule update --init --recursive
    2. +
  2. Install Cmake for the executorch build`
    3. +
  3. Drag LocalInference.xcodeproj into your project
    4. +
  4. Add LocalInference as a framework in your app target
    5. +
+

Preparing a model​

+
    +
  1. Prepare a .pte file following the executorch docs
    2. +
  2. Bundle the .pte and tokenizer.model file into your app
    3. +
+

We now support models quantized using SpinQuant and QAT-LoRA which offer a significant performance boost (demo app on iPhone 13 Pro):

+
Llama 3.2 1BTokens / Second (total)Time-to-First-Token (sec)
HaikuParagraphHaikuParagraph
BF162.22.52.31.9
QAT+LoRA7.13.30.370.24
SpinQuant10.15.20.20.2
+

Using LocalInference​

+
    +
  1. Instantiate LocalInference with a DispatchQueue. Optionally, pass it into your agents service:
    2. +
+
  init () {
    runnerQueue = DispatchQueue(label: "org.meta.llamastack")
    inferenceService = LocalInferenceService(queue: runnerQueue)
    agentsService = LocalAgentsService(inference: inferenceService)
  }
+
    +
  1. Before making any inference calls, load your model from your bundle:
    2. +
+
let mainBundle = Bundle.main
inferenceService.loadModel(
    modelPath: mainBundle.url(forResource: "llama32_1b_spinquant", withExtension: "pte"),
    tokenizerPath: mainBundle.url(forResource: "tokenizer", withExtension: "model"),
    completion: {_ in } // use to handle load failures
)
+
    +
  1. Make inference calls (or agents calls) as you normally would with LlamaStack:
    2. +
+
for await chunk in try await agentsService.initAndCreateTurn(
    messages: [
    .UserMessage(Components.Schemas.UserMessage(
        content: .case1("Call functions as needed to handle any actions in the following text:\n\n" + text),
        role: .user))
    ]
) {
+

Troubleshooting​

+

If you receive errors like "missing package product" or "invalid checksum", try cleaning the build folder and resetting the Swift package cache:

+

(Opt+Click) Product > Clean Build Folder Immediately

+
rm -rf \
  ~/Library/org.swift.swiftpm \
  ~/Library/Caches/org.swift.swiftpm \
  ~/Library/Caches/com.apple.dt.Xcode \
  ~/Library/Developer/Xcode/DerivedData
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/remote_hosted_distro.html b/docs/v0.3.0/docs/distributions/remote_hosted_distro.html new file mode 100644 index 00000000..4b8a4c0e --- /dev/null +++ b/docs/v0.3.0/docs/distributions/remote_hosted_distro.html @@ -0,0 +1,26 @@ + + + + + +Remote-Hosted Distributions | Llama Stack + + + + + + + + + + + +

Remote-Hosted Distributions

+

Remote-Hosted distributions are available endpoints serving Llama Stack API that you can directly connect to.

+
DistributionEndpointInferenceAgentsMemorySafetyTelemetry
Togetherhttps://llama-stack.together.airemote::togethermeta-referenceremote::weaviatemeta-referencemeta-reference
Fireworkshttps://llamastack-preview.fireworks.airemote::fireworksmeta-referenceremote::weaviatemeta-referencemeta-reference
+

Connecting to Remote-Hosted Distributions​

+

You can use llama-stack-client to interact with these endpoints. For example, to list the available models served by the Fireworks endpoint:

+
$ pip install llama-stack-client
$ llama-stack-client configure --endpoint https://llamastack-preview.fireworks.ai
$ llama-stack-client models list
+

Checkout the llama-stack-client-python repo for more details on how to use the llama-stack-client CLI. Checkout llama-stack-app for examples applications built on top of Llama Stack.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/remote_hosted_distro/watsonx.html b/docs/v0.3.0/docs/distributions/remote_hosted_distro/watsonx.html new file mode 100644 index 00000000..742314ca --- /dev/null +++ b/docs/v0.3.0/docs/distributions/remote_hosted_distro/watsonx.html @@ -0,0 +1,50 @@ + + + + + +watsonx | Llama Stack + + + + + + + + + + + +

watsonx Distribution

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-watsonx distribution consists of the following provider configurations.

+
APIProvider(s)
agentsinline::meta-reference
datasetioremote::huggingface, inline::localfs
evalinline::meta-reference
inferenceremote::watsonx, inline::sentence-transformers
safetyinline::llama-guard
scoringinline::basic, inline::llm-as-judge, inline::braintrust
telemetryinline::meta-reference
tool_runtimeremote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol
vector_ioinline::faiss
+

Environment Variables​

+

The following environment variables can be configured:

+
    +
  • LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 5001)
    • +
  • WATSONX_API_KEY: watsonx API Key (default: ``)
    • +
  • WATSONX_PROJECT_ID: watsonx Project ID (default: ``)
    • +
+

Models​

+

The following models are available by default:

+
    +
  • meta-llama/llama-3-3-70b-instruct (aliases: meta-llama/Llama-3.3-70B-Instruct)
    • +
  • meta-llama/llama-2-13b-chat (aliases: meta-llama/Llama-2-13b)
    • +
  • meta-llama/llama-3-1-70b-instruct (aliases: meta-llama/Llama-3.1-70B-Instruct)
    • +
  • meta-llama/llama-3-1-8b-instruct (aliases: meta-llama/Llama-3.1-8B-Instruct)
    • +
  • meta-llama/llama-3-2-11b-vision-instruct (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct)
    • +
  • meta-llama/llama-3-2-1b-instruct (aliases: meta-llama/Llama-3.2-1B-Instruct)
    • +
  • meta-llama/llama-3-2-3b-instruct (aliases: meta-llama/Llama-3.2-3B-Instruct)
    • +
  • meta-llama/llama-3-2-90b-vision-instruct (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct)
    • +
  • meta-llama/llama-guard-3-11b-vision (aliases: meta-llama/Llama-Guard-3-11B-Vision)
    • +
+

Prerequisite: API Keys​

+

Make sure you have access to a watsonx API Key. You can get one by referring watsonx.ai.

+

Running Llama Stack with watsonx​

+

You can do this via venv or Docker which has a pre-built image.

+

Via Docker​

+

This method allows you to get started quickly without having to build the distribution code.

+
LLAMA_STACK_PORT=5001
docker run \
  -it \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ./run.yaml:/root/my-run.yaml \
  -e WATSONX_API_KEY=$WATSONX_API_KEY \
  -e WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID \
  -e WATSONX_BASE_URL=$WATSONX_BASE_URL \
  llamastack/distribution-watsonx \
  --config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi.html new file mode 100644 index 00000000..995ed762 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi.html @@ -0,0 +1,41 @@ + + + + + +Dell-TGI Distribution | Llama Stack + + + + + + + + + + + +

Dell-TGI Distribution

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-tgi distribution consists of the following provider configurations.

+
APIInferenceAgentsMemorySafetyTelemetry
Provider(s)remote::tgimeta-referencemeta-reference, remote::pgvector, remote::chromameta-referencemeta-reference
+

The only difference vs. the tgi distribution is that it runs the Dell-TGI server for inference.

+

Start the Distribution (Single Node GPU)​

+
+

[!NOTE] +This assumes you have access to GPU to start a TGI server with access to your GPU.

+
+
$ cd distributions/dell-tgi/
$ ls
compose.yaml  README.md  run.yaml
$ docker compose up
+

The script will first start up TGI server, then start up Llama Stack distribution server hooking up to the remote TGI provider for inference. You should be able to see the following outputs --

+
[text-generation-inference] | 2024-10-15T18:56:33.810397Z  INFO text_generation_router::server: router/src/server.rs:1813: Using config Some(Llama)
[text-generation-inference] | 2024-10-15T18:56:33.810448Z  WARN text_generation_router::server: router/src/server.rs:1960: Invalid hostname, defaulting to 0.0.0.0
[text-generation-inference] | 2024-10-15T18:56:33.864143Z  INFO text_generation_router::server: router/src/server.rs:2353: Connected
INFO:     Started server process [1]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://[::]:8321 (Press CTRL+C to quit)
+

To kill the server

+
docker compose down
+

(Alternative) Dell-TGI server + llama stack run (Single Node GPU)​

+

Start Dell-TGI server locally​

+
docker run -it --pull always --shm-size 1g -p 80:80 --gpus 4 \
-e NUM_SHARD=4
-e MAX_BATCH_PREFILL_TOKENS=32768 \
-e MAX_INPUT_TOKENS=8000 \
-e MAX_TOTAL_TOKENS=8192 \
registry.dell.huggingface.co/enterprise-dell-inference-meta-llama-meta-llama-3.1-8b-instruct
+

Start Llama Stack server pointing to TGI server​

+
docker run --pull always --network host -it -p 8321:8321 -v ./run.yaml:/root/my-run.yaml --gpus=all llamastack/distribution-tgi --yaml_config /root/my-run.yaml
+

Make sure in you run.yaml file, you inference provider is pointing to the correct TGI server endpoint. E.g.

+
inference:
  - provider_id: tgi0
    provider_type: remote::tgi
    config:
      url: http://127.0.0.1:5009
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/dell.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/dell.html new file mode 100644 index 00000000..b0e182c8 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/dell.html @@ -0,0 +1,53 @@ + + + + + +dell | Llama Stack + + + + + + + + + + + +

Dell Distribution of Llama Stack

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-dell distribution consists of the following provider configurations.

+
APIProvider(s)
agentsinline::meta-reference
datasetioremote::huggingface, inline::localfs
evalinline::meta-reference
inferenceremote::tgi, inline::sentence-transformers
safetyinline::llama-guard
scoringinline::basic, inline::llm-as-judge, inline::braintrust
telemetryinline::meta-reference
tool_runtimeremote::brave-search, remote::tavily-search, inline::rag-runtime
vector_ioinline::faiss, remote::chromadb, remote::pgvector
+

You can use this distribution if you have GPUs and want to run an independent TGI or Dell Enterprise Hub container for running inference.

+

Environment Variables​

+

The following environment variables can be configured:

+
    +
  • DEH_URL: URL for the Dell inference server (default: http://0.0.0.0:8181)
    • +
  • DEH_SAFETY_URL: URL for the Dell safety inference server (default: http://0.0.0.0:8282)
    • +
  • CHROMA_URL: URL for the Chroma server (default: http://localhost:6601)
    • +
  • INFERENCE_MODEL: Inference model loaded into the TGI server (default: meta-llama/Llama-3.2-3B-Instruct)
    • +
  • SAFETY_MODEL: Name of the safety (Llama-Guard) model to use (default: meta-llama/Llama-Guard-3-1B)
    • +
+

Setting up Inference server using Dell Enterprise Hub's custom TGI container.​

+

NOTE: This is a placeholder to run inference with TGI. This will be updated to use Dell Enterprise Hub's containers once verified.

+
export INFERENCE_PORT=8181
export DEH_URL=http://0.0.0.0:$INFERENCE_PORT
export INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
export CHROMADB_HOST=localhost
export CHROMADB_PORT=6601
export CHROMA_URL=http://$CHROMADB_HOST:$CHROMADB_PORT
export CUDA_VISIBLE_DEVICES=0
export LLAMA_STACK_PORT=8321

docker run --rm -it \
  --pull always \
  --network host \
  -v $HOME/.cache/huggingface:/data \
  -e HF_TOKEN=$HF_TOKEN \
  -p $INFERENCE_PORT:$INFERENCE_PORT \
  --gpus $CUDA_VISIBLE_DEVICES \
  ghcr.io/huggingface/text-generation-inference \
  --dtype bfloat16 \
  --usage-stats off \
  --sharded false \
  --cuda-memory-fraction 0.7 \
  --model-id $INFERENCE_MODEL \
  --port $INFERENCE_PORT --hostname 0.0.0.0
+

If you are using Llama Stack Safety / Shield APIs, then you will need to also run another instance of a TGI with a corresponding safety model like meta-llama/Llama-Guard-3-1B using a script like:

+
export SAFETY_INFERENCE_PORT=8282
export DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT
export SAFETY_MODEL=meta-llama/Llama-Guard-3-1B
export CUDA_VISIBLE_DEVICES=1

docker run --rm -it \
  --pull always \
  --network host \
  -v $HOME/.cache/huggingface:/data \
  -e HF_TOKEN=$HF_TOKEN \
  -p $SAFETY_INFERENCE_PORT:$SAFETY_INFERENCE_PORT \
  --gpus $CUDA_VISIBLE_DEVICES \
  ghcr.io/huggingface/text-generation-inference \
  --dtype bfloat16 \
  --usage-stats off \
  --sharded false \
  --cuda-memory-fraction 0.7 \
  --model-id $SAFETY_MODEL \
  --hostname 0.0.0.0 \
  --port $SAFETY_INFERENCE_PORT
+

Dell distribution relies on ChromaDB for vector database usage​

+

You can start a chroma-db easily using docker.

+
# This is where the indices are persisted
mkdir -p $HOME/chromadb

docker run --rm -it \
  --network host \
  --name chromadb \
  -v $HOME/chromadb:/chroma/chroma \
  -e IS_PERSISTENT=TRUE \
  chromadb/chroma:latest \
  --port $CHROMADB_PORT \
  --host $CHROMADB_HOST
+

Running Llama Stack​

+

Now you are ready to run Llama Stack with TGI as the inference provider. You can do this via venv or Docker which has a pre-built image.

+

Via Docker​

+

This method allows you to get started quickly without having to build the distribution code.

+
docker run -it \
  --pull always \
  --network host \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v $HOME/.llama:/root/.llama \
  # NOTE: mount the llama-stack / llama-model directories if testing local changes else not needed
  -v $HOME/git/llama-stack:/app/llama-stack-source -v $HOME/git/llama-models:/app/llama-models-source \
  # localhost/distribution-dell:dev if building / testing locally
  -e INFERENCE_MODEL=$INFERENCE_MODEL \
  -e DEH_URL=$DEH_URL \
  -e CHROMA_URL=$CHROMA_URL \
  llamastack/distribution-dell \
  --port $LLAMA_STACK_PORT

+

If you are using Llama Stack Safety / Shield APIs, use:

+
# You need a local checkout of llama-stack to run this, get it using
# git clone https://github.com/meta-llama/llama-stack.git
cd /path/to/llama-stack

export SAFETY_INFERENCE_PORT=8282
export DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT
export SAFETY_MODEL=meta-llama/Llama-Guard-3-1B

docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v $HOME/.llama:/root/.llama \
  -v ./llama_stack/distributions/tgi/run-with-safety.yaml:/root/my-run.yaml \
  -e INFERENCE_MODEL=$INFERENCE_MODEL \
  -e DEH_URL=$DEH_URL \
  -e SAFETY_MODEL=$SAFETY_MODEL \
  -e DEH_SAFETY_URL=$DEH_SAFETY_URL \
  -e CHROMA_URL=$CHROMA_URL \
  llamastack/distribution-dell \
  --config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT
+

Via venv​

+

Install the distribution dependencies before launching:

+
llama stack list-deps dell | xargs -L1 uv pip install
INFERENCE_MODEL=$INFERENCE_MODEL \
DEH_URL=$DEH_URL \
CHROMA_URL=$CHROMA_URL \
llama stack run dell \
  --port $LLAMA_STACK_PORT
+

If you are using Llama Stack Safety / Shield APIs, use:

+
INFERENCE_MODEL=$INFERENCE_MODEL \
DEH_URL=$DEH_URL \
SAFETY_MODEL=$SAFETY_MODEL \
DEH_SAFETY_URL=$DEH_SAFETY_URL \
CHROMA_URL=$CHROMA_URL \
llama stack run ./run-with-safety.yaml \
  --port $LLAMA_STACK_PORT
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu.html new file mode 100644 index 00000000..24481551 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu.html @@ -0,0 +1,43 @@ + + + + + +meta-reference-gpu | Llama Stack + + + + + + + + + + + +

Meta Reference GPU Distribution

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-meta-reference-gpu distribution consists of the following provider configurations:

+
APIProvider(s)
agentsinline::meta-reference
datasetioremote::huggingface, inline::localfs
evalinline::meta-reference
inferenceinline::meta-reference
safetyinline::llama-guard
scoringinline::basic, inline::llm-as-judge, inline::braintrust
tool_runtimeremote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol
vector_ioinline::faiss, remote::chromadb, remote::pgvector
+

Note that you need access to nvidia GPUs to run this distribution. This distribution is not compatible with CPU-only machines or machines with AMD GPUs.

+

Environment Variables​

+

The following environment variables can be configured:

+
    +
  • LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321)
    • +
  • INFERENCE_MODEL: Inference model loaded into the Meta Reference server (default: meta-llama/Llama-3.2-3B-Instruct)
    • +
  • INFERENCE_CHECKPOINT_DIR: Directory containing the Meta Reference model checkpoint (default: null)
    • +
  • SAFETY_MODEL: Name of the safety (Llama-Guard) model to use (default: meta-llama/Llama-Guard-3-1B)
    • +
  • SAFETY_CHECKPOINT_DIR: Directory containing the Llama-Guard model checkpoint (default: null)
    • +
+

Prerequisite: Downloading Models​

+

Please check that you have llama model checkpoints downloaded in ~/.llama before proceeding. See installation guide here to download the models using the Hugging Face CLI.

+

## Running the Distribution

You can do this via venv or Docker which has a pre-built image.

### Via Docker

This method allows you to get started quickly without having to build the distribution code.

```bash
LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  --gpu all \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ~/.llama:/root/.llama \
  -e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
  llamastack/distribution-meta-reference-gpu \
  --port $LLAMA_STACK_PORT
+

If you are using Llama Stack Safety / Shield APIs, use:

+
docker run \
  -it \
  --pull always \
  --gpu all \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ~/.llama:/root/.llama \
  -e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
  -e SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \
  llamastack/distribution-meta-reference-gpu \
  --port $LLAMA_STACK_PORT
+

Via venv​

+

Make sure you have the Llama Stack CLI available.

+
llama stack list-deps meta-reference-gpu | xargs -L1 uv pip install
INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
llama stack run distributions/meta-reference-gpu/run.yaml \
  --port 8321
+

If you are using Llama Stack Safety / Shield APIs, use:

+
INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \
SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \
llama stack run distributions/meta-reference-gpu/run-with-safety.yaml \
  --port 8321
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/nvidia.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/nvidia.html new file mode 100644 index 00000000..66669174 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/nvidia.html @@ -0,0 +1,80 @@ + + + + + +nvidia | Llama Stack + + + + + + + + + + + +

NVIDIA Distribution

+

The llamastack/distribution-nvidia distribution consists of the following provider configurations.

+
APIProvider(s)
agentsinline::meta-reference
datasetioinline::localfs, remote::nvidia
evalremote::nvidia
filesinline::localfs
inferenceremote::nvidia
post_trainingremote::nvidia
safetyremote::nvidia
scoringinline::basic
tool_runtimeinline::rag-runtime
vector_ioinline::faiss
+

Environment Variables​

+

The following environment variables can be configured:

+
    +
  • NVIDIA_API_KEY: NVIDIA API Key (default: ``)
    • +
  • NVIDIA_APPEND_API_VERSION: Whether to append the API version to the base_url (default: True)
    • +
  • NVIDIA_DATASET_NAMESPACE: NVIDIA Dataset Namespace (default: default)
    • +
  • NVIDIA_PROJECT_ID: NVIDIA Project ID (default: test-project)
    • +
  • NVIDIA_CUSTOMIZER_URL: NVIDIA Customizer URL (default: https://customizer.api.nvidia.com)
    • +
  • NVIDIA_OUTPUT_MODEL_DIR: NVIDIA Output Model Directory (default: test-example-model@v1)
    • +
  • GUARDRAILS_SERVICE_URL: URL for the NeMo Guardrails Service (default: http://0.0.0.0:7331)
    • +
  • NVIDIA_GUARDRAILS_CONFIG_ID: NVIDIA Guardrail Configuration ID (default: self-check)
    • +
  • NVIDIA_EVALUATOR_URL: URL for the NeMo Evaluator Service (default: http://0.0.0.0:7331)
    • +
  • INFERENCE_MODEL: Inference model (default: Llama3.1-8B-Instruct)
    • +
  • SAFETY_MODEL: Name of the model to use for safety (default: meta/llama-3.1-8b-instruct)
    • +
+

Prerequisites​

+

NVIDIA API Keys​

+

Make sure you have access to a NVIDIA API Key. You can get one by visiting https://build.nvidia.com/. Use this key for the NVIDIA_API_KEY environment variable.

+

Deploy NeMo Microservices Platform​

+

The NVIDIA NeMo microservices platform supports end-to-end microservice deployment of a complete AI flywheel on your Kubernetes cluster through the NeMo Microservices Helm Chart. Please reference the NVIDIA NeMo Microservices documentation for platform prerequisites and instructions to install and deploy the platform.

+

Supported Services​

+

Each Llama Stack API corresponds to a specific NeMo microservice. The core microservices (Customizer, Evaluator, Guardrails) are exposed by the same endpoint. The platform components (Data Store) are each exposed by separate endpoints.

+

Inference: NVIDIA NIM​

+

NVIDIA NIM is used for running inference with registered models. There are two ways to access NVIDIA NIMs:

+
    +
  1. Hosted (default): Preview APIs hosted at https://integrate.api.nvidia.com (Requires an API key)
    2. +
  2. Self-hosted: NVIDIA NIMs that run on your own infrastructure.
    3. +
+

The deployed platform includes the NIM Proxy microservice, which is the service that provides to access your NIMs (for example, to run inference on a model). Set the NVIDIA_BASE_URL environment variable to use your NVIDIA NIM Proxy deployment.

+

Datasetio API: NeMo Data Store​

+

The NeMo Data Store microservice serves as the default file storage solution for the NeMo microservices platform. It exposts APIs compatible with the Hugging Face Hub client (HfApi), so you can use the client to interact with Data Store. The NVIDIA_DATASETS_URL environment variable should point to your NeMo Data Store endpoint.

+

See the NVIDIA Datasetio docs for supported features and example usage.

+

Eval API: NeMo Evaluator​

+

The NeMo Evaluator microservice supports evaluation of LLMs. Launching an Evaluation job with NeMo Evaluator requires an Evaluation Config (an object that contains metadata needed by the job). A Llama Stack Benchmark maps to an Evaluation Config, so registering a Benchmark creates an Evaluation Config in NeMo Evaluator. The NVIDIA_EVALUATOR_URL environment variable should point to your NeMo Microservices endpoint.

+

See the NVIDIA Eval docs for supported features and example usage.

+

Post-Training API: NeMo Customizer​

+

The NeMo Customizer microservice supports fine-tuning models. You can reference this list of supported models that can be fine-tuned using Llama Stack. The NVIDIA_CUSTOMIZER_URL environment variable should point to your NeMo Microservices endpoint.

+

See the NVIDIA Post-Training docs for supported features and example usage.

+

Safety API: NeMo Guardrails​

+

The NeMo Guardrails microservice sits between your application and the LLM, and adds checks and content moderation to a model. The GUARDRAILS_SERVICE_URL environment variable should point to your NeMo Microservices endpoint.

+

See the NVIDIA Safety docs for supported features and example usage.

+

Deploying models​

+

In order to use a registered model with the Llama Stack APIs, ensure the corresponding NIM is deployed to your environment. For example, you can use the NIM Proxy microservice to deploy meta/llama-3.2-1b-instruct.

+

Note: For improved inference speeds, we need to use NIM with fast_outlines guided decoding system (specified in the request body). This is the default if you deployed the platform with the NeMo Microservices Helm Chart.

+
# URL to NeMo NIM Proxy service
export NEMO_URL="http://nemo.test"

curl --location "$NEMO_URL/v1/deployment/model-deployments" \
   -H 'accept: application/json' \
   -H 'Content-Type: application/json' \
   -d '{
      "name": "llama-3.2-1b-instruct",
      "namespace": "meta",
      "config": {
         "model": "meta/llama-3.2-1b-instruct",
         "nim_deployment": {
            "image_name": "nvcr.io/nim/meta/llama-3.2-1b-instruct",
            "image_tag": "1.8.3",
            "pvc_size": "25Gi",
            "gpu": 1,
            "additional_envs": {
               "NIM_GUIDED_DECODING_BACKEND": "fast_outlines"
            }
         }
      }
   }'
+

This NIM deployment should take approximately 10 minutes to go live. See the docs for more information on how to deploy a NIM and verify it's available for inference.

+

You can also remove a deployed NIM to free up GPU resources, if needed.

+
export NEMO_URL="http://nemo.test"

curl -X DELETE "$NEMO_URL/v1/deployment/model-deployments/meta/llama-3.1-8b-instruct"
+

Running Llama Stack with NVIDIA​

+

You can do this via venv (build code), or Docker which has a pre-built image.

+

Via Docker​

+

This method allows you to get started quickly without having to build the distribution code.

+
LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -v ./run.yaml:/root/my-run.yaml \
  -e NVIDIA_API_KEY=$NVIDIA_API_KEY \
  llamastack/distribution-nvidia \
  --config /root/my-run.yaml \
  --port $LLAMA_STACK_PORT
+

Via venv​

+

If you've set up your local development environment, you can also install the distribution dependencies using your local virtual environment.

+
INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct
llama stack list-deps nvidia | xargs -L1 uv pip install
NVIDIA_API_KEY=$NVIDIA_API_KEY \
INFERENCE_MODEL=$INFERENCE_MODEL \
llama stack run ./run.yaml \
  --port 8321
+

Example Notebooks​

+

For examples of how to use the NVIDIA Distribution to run inference, fine-tune, evaluate, and run safety checks on your LLMs, you can reference the example notebooks in docs/notebooks/nvidia.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/passthrough.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/passthrough.html new file mode 100644 index 00000000..23ec03d0 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/passthrough.html @@ -0,0 +1,36 @@ + + + + + +passthrough | Llama Stack + + + + + + + + + + + +

Passthrough Distribution

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-passthrough distribution consists of the following provider configurations.

+
APIProvider(s)
agentsinline::meta-reference
datasetioremote::huggingface, inline::localfs
evalinline::meta-reference
inferenceremote::passthrough, inline::sentence-transformers
safetyinline::llama-guard
scoringinline::basic, inline::llm-as-judge, inline::braintrust
telemetryinline::meta-reference
tool_runtimeremote::brave-search, remote::tavily-search, remote::wolfram-alpha, inline::rag-runtime, remote::model-context-protocol
vector_ioinline::faiss, remote::chromadb, remote::pgvector
+

Environment Variables​

+

The following environment variables can be configured:

+
    +
  • LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321)
    • +
  • PASSTHROUGH_API_KEY: Passthrough API Key (default: ``)
    • +
  • PASSTHROUGH_URL: Passthrough URL (default: ``)
    • +
+

Models​

+

The following models are available by default:

+
    +
  • llama3.1-8b-instruct
    • +
  • llama3.2-11b-vision-instruct
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/self_hosted_distro/starter.html b/docs/v0.3.0/docs/distributions/self_hosted_distro/starter.html new file mode 100644 index 00000000..bb11e1de --- /dev/null +++ b/docs/v0.3.0/docs/distributions/self_hosted_distro/starter.html @@ -0,0 +1,162 @@ + + + + + +starter | Llama Stack + + + + + + + + + + + +

Starter Distribution

+
:maxdepth: 2
:hidden:

self
+

The llamastack/distribution-starter distribution is a comprehensive, multi-provider distribution that includes most of the available inference providers in Llama Stack. It's designed to be a one-stop solution for developers who want to experiment with different AI providers without having to configure each one individually.

+

Provider Composition​

+

The starter distribution consists of the following provider configurations:

+
APIProvider(s)
agentsinline::meta-reference
datasetioremote::huggingface, inline::localfs
evalinline::meta-reference
filesinline::localfs
inferenceremote::openai, remote::fireworks, remote::together, remote::ollama, remote::anthropic, remote::gemini, remote::groq, remote::sambanova, remote::vllm, remote::tgi, remote::cerebras, remote::llama-openai-compat, remote::nvidia, remote::hf::serverless, remote::hf::endpoint, inline::sentence-transformers
safetyinline::llama-guard
scoringinline::basic, inline::llm-as-judge, inline::braintrust
telemetryinline::meta-reference
tool_runtimeremote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol
vector_ioinline::faiss, inline::sqlite-vec, inline::milvus, remote::chromadb, remote::pgvector
+

Inference Providers​

+

The starter distribution includes a comprehensive set of inference providers:

+

Hosted Providers​

+
    +
  • OpenAI: GPT-4, GPT-3.5, O1, O3, O4 models and text embeddings - +provider ID: openai - reference documentation: openai
    • +
  • Fireworks: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models and +embeddings - provider ID: fireworks - reference documentation: fireworks
    • +
  • Together: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models and +embeddings - provider ID: together - reference documentation: together
    • +
  • Anthropic: Claude 3.5 Sonnet, Claude 3.7 Sonnet, Claude 3.5 Haiku, and Voyage embeddings - provider ID: anthropic - reference documentation: anthropic
    • +
  • Gemini: Gemini 1.5, 2.0, 2.5 models and text embeddings - provider ID: gemini - reference documentation: gemini
    • +
  • Groq: Fast Llama models (3.1, 3.2, 3.3, 4 Scout, 4 Maverick) - provider ID: groq - reference documentation: groq
    • +
  • SambaNova: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models - provider ID: sambanova - reference documentation: sambanova
    • +
  • Cerebras: Cerebras AI models - provider ID: cerebras - reference documentation: cerebras
    • +
  • NVIDIA: NVIDIA NIM - provider ID: nvidia - reference documentation: nvidia
    • +
  • HuggingFace: Serverless and endpoint models - provider ID: hf::serverless and hf::endpoint - reference documentation: huggingface-serverless and huggingface-endpoint
    • +
  • Bedrock: AWS Bedrock models - provider ID: bedrock - reference documentation: bedrock
    • +
+

Local/Remote Providers​

+
    +
  • Ollama: Local Ollama models - provider ID: ollama - reference documentation: ollama
    • +
  • vLLM: Local or remote vLLM server - provider ID: vllm - reference documentation: vllm
    • +
  • TGI: Text Generation Inference server - Dell Enterprise Hub's custom TGI container too (use DEH_URL) - provider ID: tgi - reference documentation: tgi
    • +
  • Sentence Transformers: Local embedding models - provider ID: sentence-transformers - reference documentation: sentence-transformers
    • +
+

All providers are disabled by default. So you need to enable them by setting the environment variables.

+

Vector IO​

+

The starter distribution includes a comprehensive set of vector IO providers:

+
    +
  • FAISS: Local FAISS vector store - enabled by +default - provider ID: faiss
    • +
  • SQLite: Local SQLite vector store - disabled by default - provider ID: sqlite-vec
    • +
  • ChromaDB: Remote ChromaDB vector store - disabled by default - provider ID: chromadb
    • +
  • PGVector: PostgreSQL vector store - disabled by default - provider ID: pgvector
    • +
  • Milvus: Milvus vector store - disabled by default - provider ID: milvus
    • +
+

Environment Variables​

+

The following environment variables can be configured:

+

Server Configuration​

+
    +
  • LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321)
    • +
+

API Keys for Hosted Providers​

+
    +
  • OPENAI_API_KEY: OpenAI API key
    • +
  • FIREWORKS_API_KEY: Fireworks API key
    • +
  • TOGETHER_API_KEY: Together API key
    • +
  • ANTHROPIC_API_KEY: Anthropic API key
    • +
  • GEMINI_API_KEY: Google Gemini API key
    • +
  • GROQ_API_KEY: Groq API key
    • +
  • SAMBANOVA_API_KEY: SambaNova API key
    • +
  • CEREBRAS_API_KEY: Cerebras API key
    • +
  • LLAMA_API_KEY: Llama API key
    • +
  • NVIDIA_API_KEY: NVIDIA API key
    • +
  • HF_API_TOKEN: HuggingFace API token
    • +
+

Local Provider Configuration​

+
    +
  • OLLAMA_URL: Ollama server URL (default: http://localhost:11434)
    • +
  • VLLM_URL: vLLM server URL (default: http://localhost:8000/v1)
    • +
  • VLLM_MAX_TOKENS: vLLM max tokens (default: 4096)
    • +
  • VLLM_API_TOKEN: vLLM API token (default: fake)
    • +
  • VLLM_TLS_VERIFY: vLLM TLS verification (default: true)
    • +
  • TGI_URL: TGI server URL
    • +
+

Model Configuration​

+
    +
  • INFERENCE_MODEL: HuggingFace model for serverless inference
    • +
  • INFERENCE_ENDPOINT_NAME: HuggingFace endpoint name
    • +
+

Vector Database Configuration​

+
    +
  • SQLITE_STORE_DIR: SQLite store directory (default: ~/.llama/distributions/starter)
    • +
  • ENABLE_SQLITE_VEC: Enable SQLite vector provider
    • +
  • ENABLE_CHROMADB: Enable ChromaDB provider
    • +
  • ENABLE_PGVECTOR: Enable PGVector provider
    • +
  • CHROMADB_URL: ChromaDB server URL
    • +
  • PGVECTOR_HOST: PGVector host (default: localhost)
    • +
  • PGVECTOR_PORT: PGVector port (default: 5432)
    • +
  • PGVECTOR_DB: PGVector database name
    • +
  • PGVECTOR_USER: PGVector username
    • +
  • PGVECTOR_PASSWORD: PGVector password
    • +
+

Tool Configuration​

+
    +
  • BRAVE_SEARCH_API_KEY: Brave Search API key
    • +
  • TAVILY_SEARCH_API_KEY: Tavily Search API key
    • +
+

Telemetry Configuration​

+
    +
  • OTEL_SERVICE_NAME: OpenTelemetry service name
    • +
  • TELEMETRY_SINKS: Telemetry sinks (default: [])
    • +
+

Enabling Providers​

+

You can enable specific providers by setting appropriate environment variables. For example,

+
# self-hosted
export OLLAMA_URL=http://localhost:11434   # enables the Ollama inference provider
export VLLM_URL=http://localhost:8000/v1   # enables the vLLM inference provider
export TGI_URL=http://localhost:8000/v1   # enables the TGI inference provider

# cloud-hosted requiring API key configuration on the server
export CEREBRAS_API_KEY=your_cerebras_api_key   # enables the Cerebras inference provider
export NVIDIA_API_KEY=your_nvidia_api_key   # enables the NVIDIA inference provider

# vector providers
export MILVUS_URL=http://localhost:19530   # enables the Milvus vector provider
export CHROMADB_URL=http://localhost:8000/v1   # enables the ChromaDB vector provider
export PGVECTOR_DB=llama_stack_db   # enables the PGVector vector provider
+

This distribution comes with a default "llama-guard" shield that can be enabled by setting the SAFETY_MODEL environment variable to point to an appropriate Llama Guard model id. Use llama-stack-client models list to see the list of available models.

+

Running the Distribution​

+

You can run the starter distribution via Docker or venv.

+

Via Docker​

+

This method allows you to get started quickly without having to build the distribution code.

+
LLAMA_STACK_PORT=8321
docker run \
  -it \
  --pull always \
  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
  -e OPENAI_API_KEY=your_openai_key \
  -e FIREWORKS_API_KEY=your_fireworks_key \
  -e TOGETHER_API_KEY=your_together_key \
  llamastack/distribution-starter \
  --port $LLAMA_STACK_PORT
+

Via venv​

+

Ensure you have configured the starter distribution using the environment variables explained above.

+
# Install dependencies for the starter distribution
uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install

# Run the server
uv run --with llama-stack llama stack run starter
+

Example Usage​

+

Once the distribution is running, you can use any of the available models. Here are some examples:

+

Using OpenAI Models​

+
llama-stack-client --endpoint http://localhost:8321 \
inference chat-completion \
--model-id openai/gpt-4o \
--message "Hello, how are you?"
+

Using Fireworks Models​

+
llama-stack-client --endpoint http://localhost:8321 \
inference chat-completion \
--model-id fireworks/meta-llama/Llama-3.2-3B-Instruct \
--message "Write a short story about a robot."
+

Using Local Ollama Models​

+
# First, make sure Ollama is running and you have a model
ollama run llama3.2:3b

# Then use it through Llama Stack
export OLLAMA_INFERENCE_MODEL=llama3.2:3b
llama-stack-client --endpoint http://localhost:8321 \
inference chat-completion \
--model-id ollama/llama3.2:3b \
--message "Explain quantum computing in simple terms."
+

Storage​

+

The starter distribution uses SQLite for local storage of various components:

+
    +
  • Metadata store: ~/.llama/distributions/starter/registry.db
    • +
  • Inference store: ~/.llama/distributions/starter/inference_store.db
    • +
  • FAISS store: ~/.llama/distributions/starter/faiss_store.db
    • +
  • SQLite vector store: ~/.llama/distributions/starter/sqlite_vec.db
    • +
  • Files metadata: ~/.llama/distributions/starter/files_metadata.db
    • +
  • Agents store: ~/.llama/distributions/starter/agents_store.db
    • +
  • Responses store: ~/.llama/distributions/starter/responses_store.db
    • +
  • Evaluation store: ~/.llama/distributions/starter/meta_reference_eval.db
    • +
  • Dataset I/O stores: Various HuggingFace and local filesystem stores
    • +
+

Benefits of the Starter Distribution​

+
    +
  1. Comprehensive Coverage: Includes most popular AI providers in one distribution
    2. +
  2. Flexible Configuration: Easy to enable/disable providers based on your needs
    3. +
  3. No Local GPU Required: Most providers are cloud-based, making it accessible to developers without high-end hardware
    4. +
  4. Easy Migration: Start with hosted providers and gradually move to local ones as needed
    5. +
  5. Production Ready: Includes safety, evaluation, and telemetry components
    6. +
  6. Tool Integration: Comes with web search, RAG, and model context protocol tools
    7. +
+

The starter distribution is ideal for developers who want to experiment with different AI providers, build prototypes quickly, or create applications that can work with multiple AI backends.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/distributions/starting_llama_stack_server.html b/docs/v0.3.0/docs/distributions/starting_llama_stack_server.html new file mode 100644 index 00000000..f8c72469 --- /dev/null +++ b/docs/v0.3.0/docs/distributions/starting_llama_stack_server.html @@ -0,0 +1,37 @@ + + + + + +Starting a Llama Stack Server | Llama Stack + + + + + + + + + + + +

Starting a Llama Stack Server

+

You can run a Llama Stack server in one of the following ways:

+

As a Library:​

+

This is the simplest way to get started. Using Llama Stack as a library means you do not need to start a server. This is especially useful when you are not running inference locally and relying on an external inference service (eg. fireworks, together, groq, etc.) See Using Llama Stack as a Library

+

Container:​

+

Another simple way to start interacting with Llama Stack is to just spin up a container (via Docker or Podman) which is pre-built with all the providers you need. We provide a number of pre-built images so you can start a Llama Stack server instantly. You can also build your own custom container. Which distribution to choose depends on the hardware you have. See Selection of a Distribution for more details.

+

Kubernetes:​

+

If you have built a container image and want to deploy it in a Kubernetes cluster instead of starting the Llama Stack server locally. See Kubernetes Deployment Guide for more details.

+

Configure logging​

+

Control log output via environment variables before starting the server.

+
    +
  • LLAMA_STACK_LOGGING sets per-component levels, e.g. LLAMA_STACK_LOGGING=server=debug;core=info.
    • +
  • Supported categories: all, core, server, router, inference, agents, safety, eval, tools, client.
    • +
  • Levels: debug, info, warning, error, critical (default is info). Use all=<level> to apply globally.
    • +
  • LLAMA_STACK_LOG_FILE=/path/to/log mirrors logs to a file while still printing to stdout.
    • +
+

Export these variables prior to running llama stack run, launching a container, or starting the server through any other pathway.

+
:maxdepth: 1
:hidden:

importing_as_library
configuration
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/getting_started/detailed_tutorial.html b/docs/v0.3.0/docs/getting_started/detailed_tutorial.html new file mode 100644 index 00000000..ef71ec01 --- /dev/null +++ b/docs/v0.3.0/docs/getting_started/detailed_tutorial.html @@ -0,0 +1,71 @@ + + + + + +Detailed Tutorial | Llama Stack + + + + + + + + + + + +

Detailed Tutorial

Detailed Tutorial​

+

In this guide, we'll walk through how you can use the Llama Stack (server and client SDK) to test a simple agent. +A Llama Stack agent is a simple integrated system that can perform tasks by combining a Llama model for reasoning with +tools (e.g., RAG, web search, code execution, etc.) for taking actions. +In Llama Stack, we provide a server exposing multiple APIs. These APIs are backed by implementations from different providers.

+

Llama Stack is a stateful service with REST APIs to support seamless transition of AI applications across different environments. The server can be run in a variety of ways, including as a standalone binary, Docker container, or hosted service. You can build and test using a local server first and deploy to a hosted endpoint for production.

+

In this guide, we'll walk through how to build a RAG agent locally using Llama Stack with Ollama +as the inference provider for a Llama Model.

+

Step 1: Installation and Setup​

+

Install Ollama by following the instructions on the Ollama website, then +download Llama 3.2 3B model, and then start the Ollama service.

+
ollama pull llama3.2:3b
ollama run llama3.2:3b --keepalive 60m
+

Install uv to setup your virtual environment

+

Use curl to download the script and execute it with sh:

curl -LsSf https://astral.sh/uv/install.sh | sh
+

Setup your virtual environment.

+
uv sync --python 3.12
source .venv/bin/activate
+

Step 2: Run Llama Stack​

+

Llama Stack is a server that exposes multiple APIs, you connect with it using the Llama Stack client SDK.

+

You can use Python to install dependencies and run the Llama Stack server, which is useful for testing and development.

Llama Stack uses a YAML configuration file to specify the stack setup, +which defines the providers and their settings. The generated configuration serves as a starting point that you can customize for your specific needs. +Now let's install dependencies and run the Llama Stack config for Ollama. +We use starter as template. By default all providers are disabled, this requires enable ollama by passing environment variables.

# Install dependencies for the starter distribution
uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install

# Run the server
llama stack run starter
+

Step 3: Run Client CLI​

+

Open a new terminal and navigate to the same directory you started the server from. Then set up a new or activate your +existing server virtual environment.

+
# The client is included in the llama-stack package so we just activate the server venv
source .venv/bin/activate
+

Now let's use the llama-stack-client CLI to check the +connectivity to the server.

+
llama-stack-client configure --endpoint http://localhost:8321 --api-key none
+

You will see the below:

+
Done! You can now use the Llama Stack Client CLI with endpoint http://localhost:8321
+

List the models

+
llama-stack-client models list
Available Models

┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┓
┃ model_type      ┃ identifier                          ┃ provider_resource_id                ┃ metadata                                  ┃ provider_id           ┃
┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━┩
│ embedding       │ ollama/nomic-embed-text:v1.5        │ nomic-embed-text:v1.5               │ {'embedding_dimension': 768.0}            │ ollama                │
├─────────────────┼─────────────────────────────────────┼─────────────────────────────────────┼───────────────────────────────────────────┼───────────────────────┤
│ ...             │ ...                                 │ ...                                 │                                           │ ...                   │
├─────────────────┼─────────────────────────────────────┼─────────────────────────────────────┼───────────────────────────────────────────┼───────────────────────┤
│ llm             │ ollama/Llama-3.2:3b                 │ llama3.2:3b                         │                                           │ ollama                │
└─────────────────┴─────────────────────────────────────┴─────────────────────────────────────┴───────────────────────────────────────────┴───────────────────────┘

+

You can test basic Llama inference completion using the CLI.

+
llama-stack-client inference chat-completion --model-id "ollama/llama3.2:3b" --message "tell me a joke"

+

Sample output:

+
OpenAIChatCompletion(
    id="chatcmpl-08d7b2be-40f3-47ed-8f16-a6f29f2436af",
    choices=[
        OpenAIChatCompletionChoice(
            finish_reason="stop",
            index=0,
            message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(
                role="assistant",
                content="Why couldn't the bicycle stand up by itself?\n\nBecause it was two-tired.",
                name=None,
                tool_calls=None,
                refusal=None,
                annotations=None,
                audio=None,
                function_call=None,
            ),
            logprobs=None,
        )
    ],
    created=1751725254,
    model="llama3.2:3b",
    object="chat.completion",
    service_tier=None,
    system_fingerprint="fp_ollama",
    usage={
        "completion_tokens": 18,
        "prompt_tokens": 29,
        "total_tokens": 47,
        "completion_tokens_details": None,
        "prompt_tokens_details": None,
    },
)
+

Step 4: Run the Demos​

+

Note that these demos show the Python Client SDK. +Other SDKs are also available, please refer to the Client SDK list for the complete options.

+

Now you can run inference using the Llama Stack client SDK.

i. Create the Script​

Create a file inference.py and add the following code:

from llama_stack_client import LlamaStackClient

client = LlamaStackClient(base_url="http://localhost:8321")

# List available models
models = client.models.list()

# Select the first LLM
llm = next(m for m in models if m.model_type == "llm" and m.provider_id == "ollama")
model_id = llm.identifier

print("Model:", model_id)

response = client.chat.completions.create(
    model=model_id,
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Write a haiku about coding"},
    ],
)
print(response)

ii. Run the Script​

Let's run the script using uv

uv run python inference.py

Which will output:

Model: ollama/llama3.2:3b
OpenAIChatCompletion(id='chatcmpl-30cd0f28-a2ad-4b6d-934b-13707fc60ebf', choices=[OpenAIChatCompletionChoice(finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(role='assistant', content="Lines of code unfold\nAlgorithms dance with ease\nLogic's gentle kiss", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None), logprobs=None)], created=1751732480, model='llama3.2:3b', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={'completion_tokens': 16, 'prompt_tokens': 37, 'total_tokens': 53, 'completion_tokens_details': None, 'prompt_tokens_details': None})
+

You're Ready to Build Your Own Apps!

+

Congrats! 🥳 Now you're ready to build your own Llama Stack applications! 🚀

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/getting_started/libraries.html b/docs/v0.3.0/docs/getting_started/libraries.html new file mode 100644 index 00000000..34eb6435 --- /dev/null +++ b/docs/v0.3.0/docs/getting_started/libraries.html @@ -0,0 +1,22 @@ + + + + + +Libraries (SDKs) | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/getting_started/quickstart.html b/docs/v0.3.0/docs/getting_started/quickstart.html new file mode 100644 index 00000000..f0ebc705 --- /dev/null +++ b/docs/v0.3.0/docs/getting_started/quickstart.html @@ -0,0 +1,54 @@ + + + + + +Quickstart | Llama Stack + + + + + + + + + + + +

Quickstart

Get started with Llama Stack in minutes!

+

Llama Stack is a stateful service with REST APIs to support the seamless transition of AI applications across different +environments. You can build and test using a local server first and deploy to a hosted endpoint for production.

+

In this guide, we'll walk through how to build a RAG application locally using Llama Stack with Ollama +as the inference provider for a Llama Model.

+

💡 Notebook Version: You can also follow this quickstart guide in a Jupyter notebook format: quick_start.ipynb

+

Step 1: Install and setup​

+
    +
  1. Install uv
    2. +
  2. Run inference on a Llama model with Ollama
    3. +
+
ollama run llama3.2:3b --keepalive 60m
+

Step 2: Run the Llama Stack server​

+

We will use uv to install dependencies and run the Llama Stack server.

+
# Install dependencies for the starter distribution
uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install

# Run the server
OLLAMA_URL=http://localhost:11434 uv run --with llama-stack llama stack run starter
+

Step 3: Run the demo​

+

Now open up a new terminal and copy the following script into a file named demo_script.py.

+
demo_script.py
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.

from llama_stack_client import Agent, AgentEventLogger, RAGDocument, LlamaStackClient

vector_db_id = "my_demo_vector_db"
client = LlamaStackClient(base_url="http://localhost:8321")

models = client.models.list()

# Select the first LLM and first embedding models
model_id = next(m for m in models if m.model_type == "llm").identifier
embedding_model_id = (
    em := next(m for m in models if m.model_type == "embedding")
).identifier
embedding_dimension = em.metadata["embedding_dimension"]

vector_db = client.vector_dbs.register(
    vector_db_id=vector_db_id,
    embedding_model=embedding_model_id,
    embedding_dimension=embedding_dimension,
    provider_id="faiss",
)
vector_db_id = vector_db.identifier
source = "https://www.paulgraham.com/greatwork.html"
print("rag_tool> Ingesting document:", source)
document = RAGDocument(
    document_id="document_1",
    content=source,
    mime_type="text/html",
    metadata={},
)
client.tool_runtime.rag_tool.insert(
    documents=[document],
    vector_db_id=vector_db_id,
    chunk_size_in_tokens=100,
)
agent = Agent(
    client,
    model=model_id,
    instructions="You are a helpful assistant",
    tools=[
        {
            "name": "builtin::rag/knowledge_search",
            "args": {"vector_db_ids": [vector_db_id]},
        }
    ],
)

prompt = "How do you do great work?"
print("prompt>", prompt)

use_stream = True
response = agent.create_turn(
    messages=[{"role": "user", "content": prompt}],
    session_id=agent.create_session("rag_session"),
    stream=use_stream,
)

# Only call `AgentEventLogger().log(response)` for streaming responses.
if use_stream:
    for log in AgentEventLogger().log(response):
        log.print()
else:
    print(response)
+

We will use uv to run the script

+
uv run --with llama-stack-client,fire,requests demo_script.py
+

And you should see output like below.

+
rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html

prompt> How do you do great work?

inference> [knowledge_search(query="What is the key to doing great work")]

tool_execution> Tool:knowledge_search Args:{'query': 'What is the key to doing great work'}

tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks:\nBEGIN of knowledge_search tool results.\n', type='text'), TextContentItem(text="Result 1:\nDocument_id:docum\nContent:  work. Doing great work means doing something important\nso well that you expand people's ideas of what's possible. But\nthere's no threshold for importance. It's a matter of degree, and\noften hard to judge at the time anyway.\n", type='text'), TextContentItem(text="Result 2:\nDocument_id:docum\nContent:  work. Doing great work means doing something important\nso well that you expand people's ideas of what's possible. But\nthere's no threshold for importance. It's a matter of degree, and\noften hard to judge at the time anyway.\n", type='text'), TextContentItem(text="Result 3:\nDocument_id:docum\nContent:  work. Doing great work means doing something important\nso well that you expand people's ideas of what's possible. But\nthere's no threshold for importance. It's a matter of degree, and\noften hard to judge at the time anyway.\n", type='text'), TextContentItem(text="Result 4:\nDocument_id:docum\nContent:  work. Doing great work means doing something important\nso well that you expand people's ideas of what's possible. But\nthere's no threshold for importance. It's a matter of degree, and\noften hard to judge at the time anyway.\n", type='text'), TextContentItem(text="Result 5:\nDocument_id:docum\nContent:  work. Doing great work means doing something important\nso well that you expand people's ideas of what's possible. But\nthere's no threshold for importance. It's a matter of degree, and\noften hard to judge at the time anyway.\n", type='text'), TextContentItem(text='END of knowledge_search tool results.\n', type='text')]

inference> Based on the search results, it seems that doing great work means doing something important so well that you expand people's ideas of what's possible. However, there is no clear threshold for importance, and it can be difficult to judge at the time.

To further clarify, I would suggest that doing great work involves:

* Completing tasks with high quality and attention to detail
* Expanding on existing knowledge or ideas
* Making a positive impact on others through your work
* Striving for excellence and continuous improvement

Ultimately, great work is about making a meaningful contribution and leaving a lasting impression.
+

Congratulations! You've successfully built your first RAG application using Llama Stack! 🎉🥳

+
HuggingFace access

If you are getting a 401 Client Error from HuggingFace for the all-MiniLM-L6-v2 model, try setting HF_TOKEN to a valid HuggingFace token in your environment

+

Next Steps​

+

Now you're ready to dive deeper into Llama Stack!

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers.html b/docs/v0.3.0/docs/providers.html new file mode 100644 index 00000000..81690e0a --- /dev/null +++ b/docs/v0.3.0/docs/providers.html @@ -0,0 +1,50 @@ + + + + + +API Providers | Llama Stack + + + + + + + + + + + +

API Providers

+

The goal of Llama Stack is to build an ecosystem where users can easily swap out different implementations for the same API. Examples for these include:

+
    +
  • LLM inference providers (e.g., Meta Reference, Ollama, Fireworks, Together, AWS Bedrock, Groq, Cerebras, SambaNova, vLLM, OpenAI, Anthropic, Gemini, WatsonX, etc.),
    • +
  • Vector databases (e.g., FAISS, SQLite-Vec, ChromaDB, Weaviate, Qdrant, Milvus, PGVector, etc.),
    • +
  • Safety providers (e.g., Meta's Llama Guard, Prompt Guard, Code Scanner, AWS Bedrock Guardrails, etc.),
    • +
  • Tool Runtime providers (e.g., RAG Runtime, Brave Search, etc.)
    • +
+

Providers come in two flavors:

+
    +
  • Remote: the provider runs as a separate service external to the Llama Stack codebase. Llama Stack contains a small amount of adapter code.
    • +
  • Inline: the provider is fully specified and implemented within the Llama Stack codebase. It may be a simple wrapper around an existing library, or a full fledged implementation within Llama Stack.
    • +
+

Importantly, Llama Stack always strives to provide at least one fully inline provider for each API so you can iterate on a fully featured environment locally.

+

Provider Categories​

+
    +
  • External Providers - Guide for building and using external providers
    • +
  • Inference - LLM and embedding model providers
    • +
  • Agents - Agentic system providers
    • +
  • DatasetIO - Dataset and data loader providers
    • +
  • Safety - Content moderation and safety providers
    • +
  • Telemetry - Monitoring and observability providers
    • +
  • Vector IO - Vector database providers
    • +
  • Tool Runtime - Tool and protocol providers
    • +
  • Files - File system and storage providers
    • +
+

Other information about Providers​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/agents.html b/docs/v0.3.0/docs/providers/agents.html new file mode 100644 index 00000000..a3d5d55a --- /dev/null +++ b/docs/v0.3.0/docs/providers/agents.html @@ -0,0 +1,26 @@ + + + + + +Agents | Llama Stack + + + + + + + + + + + +

Agents

+

Overview​

+

Agents

+

APIs for creating and interacting with agentic systems.

+

This section contains documentation for all available providers for the agents API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/agents/inline_meta-reference.html b/docs/v0.3.0/docs/providers/agents/inline_meta-reference.html new file mode 100644 index 00000000..734bb665 --- /dev/null +++ b/docs/v0.3.0/docs/providers/agents/inline_meta-reference.html @@ -0,0 +1,26 @@ + + + + + +inline::meta-reference | Llama Stack + + + + + + + + + + + +

inline::meta-reference

+

Description​

+

Meta's reference implementation of an agent system that can use tools, access vector databases, and perform complex reasoning tasks.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
persistence<class 'inline.agents.meta_reference.config.AgentPersistenceConfig'>No
+

Sample Configuration​

+
persistence:
  agent_state:
    namespace: agents
    backend: kv_default
  responses:
    table_name: responses
    backend: sql_default
    max_write_queue_size: 10000
    num_writers: 4
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/batches.html b/docs/v0.3.0/docs/providers/batches.html new file mode 100644 index 00000000..a1566610 --- /dev/null +++ b/docs/v0.3.0/docs/providers/batches.html @@ -0,0 +1,37 @@ + + + + + +Batches | Llama Stack + + + + + + + + + + + +

Batches

+

Overview​

+

The Batches API enables efficient processing of multiple requests in a single operation, +particularly useful for processing large datasets, batch evaluation workflows, and +cost-effective inference at scale.

+

The API is designed to allow use of openai client libraries for seamless integration.

+

This API provides the following extensions:

+
    +
  • idempotent batch creation
    • +
+

Note: This API is currently under active development and may undergo changes.

+

This section contains documentation for all available providers for the batches API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/batches/inline_reference.html b/docs/v0.3.0/docs/providers/batches/inline_reference.html new file mode 100644 index 00000000..fa03d739 --- /dev/null +++ b/docs/v0.3.0/docs/providers/batches/inline_reference.html @@ -0,0 +1,26 @@ + + + + + +inline::reference | Llama Stack + + + + + + + + + + + +

inline::reference

+

Description​

+

Reference implementation of batches API with KVStore persistence.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
kvstore<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfiguration for the key-value store backend.
max_concurrent_batches<class 'int'>No1Maximum number of concurrent batches to process simultaneously.
max_concurrent_requests_per_batch<class 'int'>No10Maximum number of concurrent requests to process per batch.
+

Sample Configuration​

+
kvstore:
  namespace: batches
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/datasetio.html b/docs/v0.3.0/docs/providers/datasetio.html new file mode 100644 index 00000000..6ea1203a --- /dev/null +++ b/docs/v0.3.0/docs/providers/datasetio.html @@ -0,0 +1,22 @@ + + + + + +Datasetio | Llama Stack + + + + + + + + + + + +

Datasetio

+

Overview​

+

This section contains documentation for all available providers for the datasetio API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/datasetio/inline_localfs.html b/docs/v0.3.0/docs/providers/datasetio/inline_localfs.html new file mode 100644 index 00000000..50c918a2 --- /dev/null +++ b/docs/v0.3.0/docs/providers/datasetio/inline_localfs.html @@ -0,0 +1,26 @@ + + + + + +inline::localfs | Llama Stack + + + + + + + + + + + +

inline::localfs

+

Description​

+

Local filesystem-based dataset I/O provider for reading and writing datasets to local storage.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
kvstore<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
kvstore:
  namespace: datasetio::localfs
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/datasetio/remote_huggingface.html b/docs/v0.3.0/docs/providers/datasetio/remote_huggingface.html new file mode 100644 index 00000000..543aa56f --- /dev/null +++ b/docs/v0.3.0/docs/providers/datasetio/remote_huggingface.html @@ -0,0 +1,26 @@ + + + + + +remote::huggingface | Llama Stack + + + + + + + + + + + +

remote::huggingface

+

Description​

+

HuggingFace datasets provider for accessing and managing datasets from the HuggingFace Hub.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
kvstore<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
kvstore:
  namespace: datasetio::huggingface
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/datasetio/remote_nvidia.html b/docs/v0.3.0/docs/providers/datasetio/remote_nvidia.html new file mode 100644 index 00000000..b4cc7068 --- /dev/null +++ b/docs/v0.3.0/docs/providers/datasetio/remote_nvidia.html @@ -0,0 +1,26 @@ + + + + + +remote::nvidia | Llama Stack + + + + + + + + + + + +

remote::nvidia

+

Description​

+

NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe NVIDIA API key.
dataset_namespacestr | NoneNodefaultThe NVIDIA dataset namespace.
project_idstr | NoneNotest-projectThe NVIDIA project ID.
datasets_url<class 'str'>Nohttp://nemo.testBase URL for the NeMo Dataset API
+

Sample Configuration​

+
api_key: ${env.NVIDIA_API_KEY:=}
dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default}
project_id: ${env.NVIDIA_PROJECT_ID:=test-project}
datasets_url: ${env.NVIDIA_DATASETS_URL:=http://nemo.test}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/eval.html b/docs/v0.3.0/docs/providers/eval.html new file mode 100644 index 00000000..4c69a78b --- /dev/null +++ b/docs/v0.3.0/docs/providers/eval.html @@ -0,0 +1,26 @@ + + + + + +Eval | Llama Stack + + + + + + + + + + + +

Eval

+

Overview​

+

Evaluations

+

Llama Stack Evaluation API for running evaluations on model and agent candidates.

+

This section contains documentation for all available providers for the eval API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/eval/inline_meta-reference.html b/docs/v0.3.0/docs/providers/eval/inline_meta-reference.html new file mode 100644 index 00000000..7b439c8b --- /dev/null +++ b/docs/v0.3.0/docs/providers/eval/inline_meta-reference.html @@ -0,0 +1,26 @@ + + + + + +inline::meta-reference | Llama Stack + + + + + + + + + + + +

inline::meta-reference

+

Description​

+

Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
kvstore<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
kvstore:
  namespace: eval
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/eval/remote_nvidia.html b/docs/v0.3.0/docs/providers/eval/remote_nvidia.html new file mode 100644 index 00000000..ed1ad36b --- /dev/null +++ b/docs/v0.3.0/docs/providers/eval/remote_nvidia.html @@ -0,0 +1,26 @@ + + + + + +remote::nvidia | Llama Stack + + + + + + + + + + + +

remote::nvidia

+

Description​

+

NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
evaluator_url<class 'str'>Nohttp://0.0.0.0:7331The url for accessing the evaluator service
+

Sample Configuration​

+
evaluator_url: ${env.NVIDIA_EVALUATOR_URL:=http://localhost:7331}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/external.html b/docs/v0.3.0/docs/providers/external.html new file mode 100644 index 00000000..092ef89d --- /dev/null +++ b/docs/v0.3.0/docs/providers/external.html @@ -0,0 +1,31 @@ + + + + + +External Providers | Llama Stack + + + + + + + + + + + +

External Providers

+

Llama Stack supports external providers that live outside of the main codebase. This allows you to:

+
    +
  • Create and maintain your own providers independently
    • +
  • Share providers with others without contributing to the main codebase
    • +
  • Keep provider-specific code separate from the core Llama Stack code
    • +
+

External Provider Documentation​

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/external/external-providers-guide.html b/docs/v0.3.0/docs/providers/external/external-providers-guide.html new file mode 100644 index 00000000..d975bbec --- /dev/null +++ b/docs/v0.3.0/docs/providers/external/external-providers-guide.html @@ -0,0 +1,144 @@ + + + + + +Creating External Providers | Llama Stack + + + + + + + + + + + +

Creating External Providers

+

Configuration​

+

To enable external providers, you need to add module into your build yaml, allowing Llama Stack to install the required package corresponding to the external provider.

+

an example entry in your build.yaml should look like:

+
- provider_type: remote::ramalama
  module: ramalama_stack
+

Provider Types​

+

Llama Stack supports two types of external providers:

+
    +
  1. Remote Providers: Providers that communicate with external services (e.g., cloud APIs)
    2. +
  2. Inline Providers: Providers that run locally within the Llama Stack process
    3. +
+

Provider Specification (Common between inline and remote providers)​

+
    +
  • provider_type: The type of the provider to be installed (remote or inline). eg. remote::ollama
    • +
  • api: The API for this provider, eg. inference
    • +
  • config_class: The full path to the configuration class
    • +
  • module: The Python module containing the provider implementation
    • +
  • optional_api_dependencies: List of optional Llama Stack APIs that this provider can use
    • +
  • api_dependencies: List of Llama Stack APIs that this provider depends on
    • +
  • provider_data_validator: Optional validator for provider data.
    • +
  • pip_packages: List of Python packages required by the provider
    • +
+

Remote Provider Specification​

+

Remote providers are used when you need to communicate with external services. Here's an example for a custom Ollama provider:

+
adapter_type: custom_ollama
provider_type: "remote::ollama"
pip_packages:
- ollama
- aiohttp
config_class: llama_stack_ollama_provider.config.OllamaImplConfig
module: llama_stack_ollama_provider
api_dependencies: []
optional_api_dependencies: []
+

Remote Provider Configuration​

+
    +
  • adapter_type: A unique identifier for this adapter, eg. ollama
    • +
+

Inline Provider Specification​

+

Inline providers run locally within the Llama Stack process. Here's an example for a custom vector store provider:

+
module: llama_stack_vector_provider
provider_type: inline::llama_stack_vector_provider
config_class: llama_stack_vector_provider.config.VectorStoreConfig
pip_packages:
  - faiss-cpu
  - numpy
api_dependencies:
  - inference
optional_api_dependencies:
  - vector_io
provider_data_validator: llama_stack_vector_provider.validator.VectorStoreValidator
container_image: custom-vector-store:latest  # optional
+

Inline Provider Fields​

+
    +
  • container_image: Optional container image to use instead of pip packages
    • +
+

Required Fields​

+

All Providers​

+

All providers must contain a get_provider_spec function in their provider module. This is a standardized structure that Llama Stack expects and is necessary for getting things such as the config class. The get_provider_spec method returns a structure identical to the adapter. An example function may look like:

+
from llama_stack.providers.datatypes import (
    ProviderSpec,
    Api,
    RemoteProviderSpec,
)


def get_provider_spec() -> ProviderSpec:
    return RemoteProviderSpec(
        api=Api.inference,
        adapter_type="ramalama",
        pip_packages=["ramalama>=0.8.5", "pymilvus"],
        config_class="ramalama_stack.config.RamalamaImplConfig",
        module="ramalama_stack",
    )
+

Remote Providers​

+

Remote providers must expose a get_adapter_impl() function in their module that takes two arguments:

+
    +
  1. config: An instance of the provider's config class
    2. +
  2. deps: A dictionary of API dependencies
    3. +
+

This function must return an instance of the provider's adapter class that implements the required protocol for the API.

+

Example:

+
async def get_adapter_impl(
    config: OllamaImplConfig, deps: Dict[Api, Any]
) -> OllamaInferenceAdapter:
    return OllamaInferenceAdapter(config)
+

Inline Providers​

+

Inline providers must expose a get_provider_impl() function in their module that takes two arguments:

+
    +
  1. config: An instance of the provider's config class
    2. +
  2. deps: A dictionary of API dependencies
    3. +
+

Example:

+
async def get_provider_impl(
    config: VectorStoreConfig, deps: Dict[Api, Any]
) -> VectorStoreImpl:
    impl = VectorStoreImpl(config, deps[Api.inference])
    await impl.initialize()
    return impl
+

Dependencies​

+

The provider package must be installed on the system. For example:

+
$ uv pip show llama-stack-ollama-provider
Name: llama-stack-ollama-provider
Version: 0.1.0
Location: /path/to/venv/lib/python3.10/site-packages
+

Best Practices​

+
    +
  1. +

    Package Naming: Use the prefix llama-stack-provider- for your provider packages to make them easily identifiable.

    +
    2. +
  2. +

    Version Management: Keep your provider package versioned and compatible with the Llama Stack version you're using.

    +
    3. +
  3. +

    Dependencies: Only include the minimum required dependencies in your provider package.

    +
    4. +
  4. +

    Documentation: Include clear documentation in your provider package about:

    +
      +
    • Installation requirements
      • +
    • Configuration options
      • +
    • Usage examples
      • +
    • Any limitations or known issues
      • +
    +
    5. +
  5. +

    Testing: Include tests in your provider package to ensure it works correctly with Llama Stack. +You can refer to the integration tests +guide for more +information. Execute the test for the Provider type you are developing.

    +
    6. +
+

Troubleshooting​

+

If your external provider isn't being loaded:

+
    +
  1. Check that module points to a published pip package with a top level provider module including get_provider_spec.
    2. +
  2. Verify that the YAML files are properly formatted.
    3. +
  3. Ensure all required Python packages are installed.
    4. +
  4. Check the Llama Stack server logs for any error messages - turn on debug logging to get more +information using LLAMA_STACK_LOGGING=all=debug.
    5. +
+

Examples​

+

How to create an external provider module​

+

If you are creating a new external provider called llama-stack-provider-ollama here is how you would set up the package properly:

+
    +
  1. First, create the provider package:
    2. +
+
mkdir -p llama-stack-provider-ollama
cd llama-stack-provider-ollama
git init
uv init
+
    +
  1. Edit pyproject.toml:
    2. +
+
[project]
name = "llama-stack-provider-ollama"
version = "0.1.0"
description = "Ollama provider for Llama Stack"
requires-python = ">=3.12"
dependencies = ["llama-stack", "pydantic", "ollama", "aiohttp"]
+
    +
  1. Install the provider:
    2. +
+
uv pip install -e .
+
    +
  1. Edit provider.py
    2. +
+

provider.py must be updated to contain get_provider_spec. This is used by llama stack to install the provider.

+
def get_provider_spec() -> ProviderSpec:
    return RemoteProviderSpec(
        api=Api.inference,
        adapter_type="llama-stack-provider-ollama",
        pip_packages=["ollama", "aiohttp"],
        config_class="llama_stack_provider_ollama.config.OllamaImplConfig",
        module="llama_stack_provider_ollama",
    )
+
    +
  1. Implement the provider as outlined above with get_provider_impl or get_adapter_impl, etc.
    2. +
+

Example using module: ramalama-stack​

+

ramalama-stack is a recognized external provider that supports installation via module.

+

To install Llama Stack with this external provider a user can provider the following build.yaml:

+
version: 2
distribution_spec:
  description: Use (an external) Ramalama server for running LLM inference
  container_image: null
  providers:
    inference:
    - provider_type: remote::ramalama
      module: ramalama_stack==0.3.0a0
image_type: venv
image_name: null
additional_pip_packages:
- aiosqlite
- sqlalchemy[asyncio]
+

No other steps are required beyond installing dependencies with llama stack list-deps <distro> | xargs -L1 uv pip install and then running llama stack run. The CLI will use module to install the provider dependencies, retrieve the spec, etc.

+

The provider will now be available in Llama Stack with the type remote::ramalama.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/external/external-providers-list.html b/docs/v0.3.0/docs/providers/external/external-providers-list.html new file mode 100644 index 00000000..dd61ee24 --- /dev/null +++ b/docs/v0.3.0/docs/providers/external/external-providers-list.html @@ -0,0 +1,22 @@ + + + + + +Known External Providers | Llama Stack + + + + + + + + + + + +

Known External Providers

+

Here's a list of known external providers that you can use with Llama Stack:

+
NameDescriptionAPITypeRepository
KubeFlow TrainingTrain models with KubeFlowPost TrainingRemotellama-stack-provider-kft
KubeFlow PipelinesTrain models with KubeFlow PipelinesPost TrainingInline and Remotellama-stack-provider-kfp-trainer
RamaLamaInference models with RamaLamaInferenceRemoteramalama-stack
TrustyAI LM-EvalEvaluate models with TrustyAI LM-EvalEvalRemotellama-stack-provider-lmeval
MongoDBVectorIO with MongoDBVector_IORemotemongodb-llama-stack
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/files.html b/docs/v0.3.0/docs/providers/files.html new file mode 100644 index 00000000..1d446ab9 --- /dev/null +++ b/docs/v0.3.0/docs/providers/files.html @@ -0,0 +1,26 @@ + + + + + +Files | Llama Stack + + + + + + + + + + + +

Files

+

Overview​

+

Files

+

This API is used to upload documents that can be used with other Llama Stack APIs.

+

This section contains documentation for all available providers for the files API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/files/inline_localfs.html b/docs/v0.3.0/docs/providers/files/inline_localfs.html new file mode 100644 index 00000000..2f249c72 --- /dev/null +++ b/docs/v0.3.0/docs/providers/files/inline_localfs.html @@ -0,0 +1,26 @@ + + + + + +inline::localfs | Llama Stack + + + + + + + + + + + +

inline::localfs

+

Description​

+

Local filesystem-based file storage provider for managing files and documents locally.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
storage_dir<class 'str'>NoDirectory to store uploaded files
metadata_store<class 'llama_stack.core.storage.datatypes.SqlStoreReference'>NoSQL store configuration for file metadata
ttl_secs<class 'int'>No31536000
+

Sample Configuration​

+
storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/dummy/files}
metadata_store:
  table_name: files_metadata
  backend: sql_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/files/remote_s3.html b/docs/v0.3.0/docs/providers/files/remote_s3.html new file mode 100644 index 00000000..23cafc06 --- /dev/null +++ b/docs/v0.3.0/docs/providers/files/remote_s3.html @@ -0,0 +1,26 @@ + + + + + +remote::s3 | Llama Stack + + + + + + + + + + + +

remote::s3

+

Description​

+

AWS S3-based file storage provider for scalable cloud file management with metadata persistence.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
bucket_name<class 'str'>NoS3 bucket name to store files
region<class 'str'>Nous-east-1AWS region where the bucket is located
aws_access_key_idstr | NoneNoAWS access key ID (optional if using IAM roles)
aws_secret_access_keystr | NoneNoAWS secret access key (optional if using IAM roles)
endpoint_urlstr | NoneNoCustom S3 endpoint URL (for MinIO, LocalStack, etc.)
auto_create_bucket<class 'bool'>NoFalseAutomatically create the S3 bucket if it doesn't exist
metadata_store<class 'llama_stack.core.storage.datatypes.SqlStoreReference'>NoSQL store configuration for file metadata
+

Sample Configuration​

+
bucket_name: ${env.S3_BUCKET_NAME}
region: ${env.AWS_REGION:=us-east-1}
aws_access_key_id: ${env.AWS_ACCESS_KEY_ID:=}
aws_secret_access_key: ${env.AWS_SECRET_ACCESS_KEY:=}
endpoint_url: ${env.S3_ENDPOINT_URL:=}
auto_create_bucket: ${env.S3_AUTO_CREATE_BUCKET:=false}
metadata_store:
  table_name: s3_files_metadata
  backend: sql_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference.html b/docs/v0.3.0/docs/providers/inference.html new file mode 100644 index 00000000..3551663d --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference.html @@ -0,0 +1,33 @@ + + + + + +Inference | Llama Stack + + + + + + + + + + + +

Inference

+

Overview​

+

Inference

+

Llama Stack Inference API for generating completions, chat completions, and embeddings.

+

This API provides the raw interface to the underlying models. Two kinds of models are supported:

+
    +
  • LLM models: these models generate "raw" and "chat" (conversational) completions.
    • +
  • Embedding models: these models generate embeddings to be used for semantic search.
    • +
+

This section contains documentation for all available providers for the inference API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/inline_meta-reference.html b/docs/v0.3.0/docs/providers/inference/inline_meta-reference.html new file mode 100644 index 00000000..c86c2565 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/inline_meta-reference.html @@ -0,0 +1,26 @@ + + + + + +inline::meta-reference | Llama Stack + + + + + + + + + + + +

inline::meta-reference

+

Description​

+

Meta's reference implementation of inference with support for various model formats and optimization techniques.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
modelstr | NoneNo
torch_seedint | NoneNo
max_seq_len<class 'int'>No4096
max_batch_size<class 'int'>No1
model_parallel_sizeint | NoneNo
create_distributed_process_group<class 'bool'>NoTrue
checkpoint_dirstr | NoneNo
quantizationBf16QuantizationConfig | Fp8QuantizationConfig | Int4QuantizationConfig, annotation=NoneType, required=True, discriminator='type'No
+

Sample Configuration​

+
model: Llama3.2-3B-Instruct
checkpoint_dir: ${env.CHECKPOINT_DIR:=null}
quantization:
  type: ${env.QUANTIZATION_TYPE:=bf16}
model_parallel_size: ${env.MODEL_PARALLEL_SIZE:=0}
max_batch_size: ${env.MAX_BATCH_SIZE:=1}
max_seq_len: ${env.MAX_SEQ_LEN:=4096}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/inline_sentence-transformers.html b/docs/v0.3.0/docs/providers/inference/inline_sentence-transformers.html new file mode 100644 index 00000000..59c4337e --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/inline_sentence-transformers.html @@ -0,0 +1,24 @@ + + + + + +inline::sentence-transformers | Llama Stack + + + + + + + + + + + +

inline::sentence-transformers

+

Description​

+

Sentence Transformers inference provider for text embeddings and similarity search.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_anthropic.html b/docs/v0.3.0/docs/providers/inference/remote_anthropic.html new file mode 100644 index 00000000..e2797ed0 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_anthropic.html @@ -0,0 +1,26 @@ + + + + + +remote::anthropic | Llama Stack + + + + + + + + + + + +

remote::anthropic

+

Description​

+

Anthropic inference provider for accessing Claude models and Anthropic's AI services.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
+

Sample Configuration​

+
api_key: ${env.ANTHROPIC_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_azure.html b/docs/v0.3.0/docs/providers/inference/remote_azure.html new file mode 100644 index 00000000..1e2a1880 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_azure.html @@ -0,0 +1,34 @@ + + + + + +remote::azure | Llama Stack + + + + + + + + + + + +

remote::azure

+

Description​

+

Azure OpenAI inference provider for accessing GPT models and other Azure services. +Provider documentation +https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
api_base<class 'pydantic.networks.HttpUrl'>NoAzure API base for Azure (e.g., https://your-resource-name.openai.azure.com)
api_versionstr | NoneNoAzure API version for Azure (e.g., 2024-12-01-preview)
api_typestr | NoneNoazureAzure API type for Azure (e.g., azure)
+

Sample Configuration​

+
api_key: ${env.AZURE_API_KEY:=}
api_base: ${env.AZURE_API_BASE:=}
api_version: ${env.AZURE_API_VERSION:=}
api_type: ${env.AZURE_API_TYPE:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_bedrock.html b/docs/v0.3.0/docs/providers/inference/remote_bedrock.html new file mode 100644 index 00000000..61927d8a --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_bedrock.html @@ -0,0 +1,26 @@ + + + + + +remote::bedrock | Llama Stack + + + + + + + + + + + +

remote::bedrock

+

Description​

+

AWS Bedrock inference provider for accessing various AI models through AWS's managed service.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
aws_access_key_idstr | NoneNoThe AWS access key to use. Default use environment variable: AWS_ACCESS_KEY_ID
aws_secret_access_keystr | NoneNoThe AWS secret access key to use. Default use environment variable: AWS_SECRET_ACCESS_KEY
aws_session_tokenstr | NoneNoThe AWS session token to use. Default use environment variable: AWS_SESSION_TOKEN
region_namestr | NoneNoThe default AWS Region to use, for example, us-west-1 or us-west-2.Default use environment variable: AWS_DEFAULT_REGION
profile_namestr | NoneNoThe profile name that contains credentials to use.Default use environment variable: AWS_PROFILE
total_max_attemptsint | NoneNoAn integer representing the maximum number of attempts that will be made for a single request, including the initial attempt. Default use environment variable: AWS_MAX_ATTEMPTS
retry_modestr | NoneNoA string representing the type of retries Boto3 will perform.Default use environment variable: AWS_RETRY_MODE
connect_timeoutfloat | NoneNo60.0The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
read_timeoutfloat | NoneNo60.0The time in seconds till a timeout exception is thrown when attempting to read from a connection.The default is 60 seconds.
session_ttlint | NoneNo3600The time in seconds till a session expires. The default is 3600 seconds (1 hour).
+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_cerebras.html b/docs/v0.3.0/docs/providers/inference/remote_cerebras.html new file mode 100644 index 00000000..f8e01c3a --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_cerebras.html @@ -0,0 +1,26 @@ + + + + + +remote::cerebras | Llama Stack + + + + + + + + + + + +

remote::cerebras

+

Description​

+

Cerebras inference provider for running models on Cerebras Cloud platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
base_url<class 'str'>Nohttps://api.cerebras.aiBase URL for the Cerebras API
+

Sample Configuration​

+
base_url: https://api.cerebras.ai
api_key: ${env.CEREBRAS_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_databricks.html b/docs/v0.3.0/docs/providers/inference/remote_databricks.html new file mode 100644 index 00000000..c5ef0522 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_databricks.html @@ -0,0 +1,26 @@ + + + + + +remote::databricks | Llama Stack + + + + + + + + + + + +

remote::databricks

+

Description​

+

Databricks inference provider for running models on Databricks' unified analytics platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_tokenpydantic.types.SecretStr | NoneNoThe Databricks API token
urlstr | NoneNoThe URL for the Databricks model serving endpoint
+

Sample Configuration​

+
url: ${env.DATABRICKS_HOST:=}
api_token: ${env.DATABRICKS_TOKEN:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_fireworks.html b/docs/v0.3.0/docs/providers/inference/remote_fireworks.html new file mode 100644 index 00000000..a62746b5 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_fireworks.html @@ -0,0 +1,26 @@ + + + + + +remote::fireworks | Llama Stack + + + + + + + + + + + +

remote::fireworks

+

Description​

+

Fireworks AI inference provider for Llama models and other AI models on the Fireworks platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://api.fireworks.ai/inference/v1The URL for the Fireworks server
+

Sample Configuration​

+
url: https://api.fireworks.ai/inference/v1
api_key: ${env.FIREWORKS_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_gemini.html b/docs/v0.3.0/docs/providers/inference/remote_gemini.html new file mode 100644 index 00000000..93359290 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_gemini.html @@ -0,0 +1,26 @@ + + + + + +remote::gemini | Llama Stack + + + + + + + + + + + +

remote::gemini

+

Description​

+

Google Gemini inference provider for accessing Gemini models and Google's AI services.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
+

Sample Configuration​

+
api_key: ${env.GEMINI_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_groq.html b/docs/v0.3.0/docs/providers/inference/remote_groq.html new file mode 100644 index 00000000..2e6ad692 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_groq.html @@ -0,0 +1,26 @@ + + + + + +remote::groq | Llama Stack + + + + + + + + + + + +

remote::groq

+

Description​

+

Groq inference provider for ultra-fast inference using Groq's LPU technology.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://api.groq.comThe URL for the Groq AI server
+

Sample Configuration​

+
url: https://api.groq.com
api_key: ${env.GROQ_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_hf_endpoint.html b/docs/v0.3.0/docs/providers/inference/remote_hf_endpoint.html new file mode 100644 index 00000000..b06bd714 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_hf_endpoint.html @@ -0,0 +1,26 @@ + + + + + +remote::hf::endpoint | Llama Stack + + + + + + + + + + + +

remote::hf::endpoint

+

Description​

+

HuggingFace Inference Endpoints provider for dedicated model serving.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
endpoint_name<class 'str'>NoThe name of the Hugging Face Inference Endpoint in the format of '{namespace}/{endpoint_name}' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided.
api_tokenpydantic.types.SecretStr | NoneNoYour Hugging Face user access token (will default to locally saved token if not provided)
+

Sample Configuration​

+
endpoint_name: ${env.INFERENCE_ENDPOINT_NAME}
api_token: ${env.HF_API_TOKEN}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_hf_serverless.html b/docs/v0.3.0/docs/providers/inference/remote_hf_serverless.html new file mode 100644 index 00000000..bb58f70c --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_hf_serverless.html @@ -0,0 +1,26 @@ + + + + + +remote::hf::serverless | Llama Stack + + + + + + + + + + + +

remote::hf::serverless

+

Description​

+

HuggingFace Inference API serverless provider for on-demand model inference.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
huggingface_repo<class 'str'>NoThe model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct')
api_tokenpydantic.types.SecretStr | NoneNoYour Hugging Face user access token (will default to locally saved token if not provided)
+

Sample Configuration​

+
huggingface_repo: ${env.INFERENCE_MODEL}
api_token: ${env.HF_API_TOKEN}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_llama-openai-compat.html b/docs/v0.3.0/docs/providers/inference/remote_llama-openai-compat.html new file mode 100644 index 00000000..e6acd2d4 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_llama-openai-compat.html @@ -0,0 +1,26 @@ + + + + + +remote::llama-openai-compat | Llama Stack + + + + + + + + + + + +

remote::llama-openai-compat

+

Description​

+

Llama OpenAI-compatible provider for using Llama models with OpenAI API format.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
openai_compat_api_base<class 'str'>Nohttps://api.llama.com/compat/v1/The URL for the Llama API server
+

Sample Configuration​

+
openai_compat_api_base: https://api.llama.com/compat/v1/
api_key: ${env.LLAMA_API_KEY}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_nvidia.html b/docs/v0.3.0/docs/providers/inference/remote_nvidia.html new file mode 100644 index 00000000..fc762c49 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_nvidia.html @@ -0,0 +1,26 @@ + + + + + +remote::nvidia | Llama Stack + + + + + + + + + + + +

remote::nvidia

+

Description​

+

NVIDIA inference provider for accessing NVIDIA NIM models and AI services.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://integrate.api.nvidia.comA base url for accessing the NVIDIA NIM
timeout<class 'int'>No60Timeout for the HTTP requests
append_api_version<class 'bool'>NoTrueWhen set to false, the API version will not be appended to the base_url. By default, it is true.
+

Sample Configuration​

+
url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com}
api_key: ${env.NVIDIA_API_KEY:=}
append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_ollama.html b/docs/v0.3.0/docs/providers/inference/remote_ollama.html new file mode 100644 index 00000000..eda591c1 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_ollama.html @@ -0,0 +1,26 @@ + + + + + +remote::ollama | Llama Stack + + + + + + + + + + + +

remote::ollama

+

Description​

+

Ollama inference provider for running local models through the Ollama runtime.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
url<class 'str'>Nohttp://localhost:11434
+

Sample Configuration​

+
url: ${env.OLLAMA_URL:=http://localhost:11434}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_openai.html b/docs/v0.3.0/docs/providers/inference/remote_openai.html new file mode 100644 index 00000000..416a398f --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_openai.html @@ -0,0 +1,26 @@ + + + + + +remote::openai | Llama Stack + + + + + + + + + + + +

remote::openai

+

Description​

+

OpenAI inference provider for accessing GPT models and other OpenAI services.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
base_url<class 'str'>Nohttps://api.openai.com/v1Base URL for OpenAI API
+

Sample Configuration​

+
api_key: ${env.OPENAI_API_KEY:=}
base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_passthrough.html b/docs/v0.3.0/docs/providers/inference/remote_passthrough.html new file mode 100644 index 00000000..77ca1f94 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_passthrough.html @@ -0,0 +1,26 @@ + + + + + +remote::passthrough | Llama Stack + + + + + + + + + + + +

remote::passthrough

+

Description​

+

Passthrough inference provider for connecting to any external inference service not directly supported.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAPI Key for the passthrouth endpoint
url<class 'str'>NoThe URL for the passthrough endpoint
+

Sample Configuration​

+
url: ${env.PASSTHROUGH_URL}
api_key: ${env.PASSTHROUGH_API_KEY}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_runpod.html b/docs/v0.3.0/docs/providers/inference/remote_runpod.html new file mode 100644 index 00000000..8babf8f9 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_runpod.html @@ -0,0 +1,26 @@ + + + + + +remote::runpod | Llama Stack + + + + + + + + + + + +

remote::runpod

+

Description​

+

RunPod inference provider for running models on RunPod's cloud GPU platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_tokenpydantic.types.SecretStr | NoneNoThe API token
urlstr | NoneNoThe URL for the Runpod model serving endpoint
+

Sample Configuration​

+
url: ${env.RUNPOD_URL:=}
api_token: ${env.RUNPOD_API_TOKEN}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat.html b/docs/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat.html new file mode 100644 index 00000000..ab84e6f9 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat.html @@ -0,0 +1,26 @@ + + + + + +remote::sambanova-openai-compat | Llama Stack + + + + + + + + + + + +

remote::sambanova-openai-compat

+

Description​

+

SambaNova OpenAI-compatible provider for using SambaNova models with OpenAI API format.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe SambaNova API key
openai_compat_api_base<class 'str'>Nohttps://api.sambanova.ai/v1The URL for the SambaNova API server
+

Sample Configuration​

+
openai_compat_api_base: https://api.sambanova.ai/v1
api_key: ${env.SAMBANOVA_API_KEY:=}

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_sambanova.html b/docs/v0.3.0/docs/providers/inference/remote_sambanova.html new file mode 100644 index 00000000..71f43f5d --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_sambanova.html @@ -0,0 +1,26 @@ + + + + + +remote::sambanova | Llama Stack + + + + + + + + + + + +

remote::sambanova

+

Description​

+

SambaNova inference provider for running models on SambaNova's dataflow architecture.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://api.sambanova.ai/v1The URL for the SambaNova AI server
+

Sample Configuration​

+
url: https://api.sambanova.ai/v1
api_key: ${env.SAMBANOVA_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_tgi.html b/docs/v0.3.0/docs/providers/inference/remote_tgi.html new file mode 100644 index 00000000..8f6b8319 --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_tgi.html @@ -0,0 +1,26 @@ + + + + + +remote::tgi | Llama Stack + + + + + + + + + + + +

remote::tgi

+

Description​

+

Text Generation Inference (TGI) provider for HuggingFace model serving.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
url<class 'str'>NoThe URL for the TGI serving endpoint
+

Sample Configuration​

+
url: ${env.TGI_URL:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_together.html b/docs/v0.3.0/docs/providers/inference/remote_together.html new file mode 100644 index 00000000..5263be8f --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_together.html @@ -0,0 +1,26 @@ + + + + + +remote::together | Llama Stack + + + + + + + + + + + +

remote::together

+

Description​

+

Together AI inference provider for open-source models and collaborative AI development.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://api.together.xyz/v1The URL for the Together AI server
+

Sample Configuration​

+
url: https://api.together.xyz/v1
api_key: ${env.TOGETHER_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_vertexai.html b/docs/v0.3.0/docs/providers/inference/remote_vertexai.html new file mode 100644 index 00000000..1c5302ba --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_vertexai.html @@ -0,0 +1,85 @@ + + + + + +remote::vertexai | Llama Stack + + + + + + + + + + + +

remote::vertexai

+

Description​

+

Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:

+

• Enterprise-grade security: Uses Google Cloud's security controls and IAM +• Better integration: Seamless integration with other Google Cloud services +• Advanced features: Access to additional Vertex AI features like model tuning and monitoring +• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys

+

Configuration:

+
    +
  • Set VERTEX_AI_PROJECT environment variable (required)
    • +
  • Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)
    • +
  • Use Google Cloud Application Default Credentials or service account key
    • +
+

Authentication Setup: +Option 1 (Recommended): gcloud auth application-default login +Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path

+

Available Models:

+
    +
  • vertex_ai/gemini-2.0-flash
    • +
  • vertex_ai/gemini-2.5-flash
    • +
  • vertex_ai/gemini-2.5-pro
    • +
+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
project<class 'str'>NoGoogle Cloud project ID for Vertex AI
location<class 'str'>Nous-central1Google Cloud location for Vertex AI
+

Sample Configuration​

+
project: ${env.VERTEX_AI_PROJECT:=}
location: ${env.VERTEX_AI_LOCATION:=us-central1}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_vllm.html b/docs/v0.3.0/docs/providers/inference/remote_vllm.html new file mode 100644 index 00000000..ee1106ac --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_vllm.html @@ -0,0 +1,26 @@ + + + + + +remote::vllm | Llama Stack + + + + + + + + + + + +

remote::vllm

+

Description​

+

Remote vLLM inference provider for connecting to vLLM servers.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_tokenpydantic.types.SecretStr | NoneNoThe API token
urlstr | NoneNoThe URL for the vLLM model serving endpoint
max_tokens<class 'int'>No4096Maximum number of tokens to generate.
tls_verifybool | strNoTrueWhether to verify TLS certificates. Can be a boolean or a path to a CA certificate file.
+

Sample Configuration​

+
url: ${env.VLLM_URL:=}
max_tokens: ${env.VLLM_MAX_TOKENS:=4096}
api_token: ${env.VLLM_API_TOKEN:=fake}
tls_verify: ${env.VLLM_TLS_VERIFY:=true}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/inference/remote_watsonx.html b/docs/v0.3.0/docs/providers/inference/remote_watsonx.html new file mode 100644 index 00000000..7fd52a0a --- /dev/null +++ b/docs/v0.3.0/docs/providers/inference/remote_watsonx.html @@ -0,0 +1,26 @@ + + + + + +remote::watsonx | Llama Stack + + + + + + + + + + + +

remote::watsonx

+

Description​

+

IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
api_keypydantic.types.SecretStr | NoneNoAuthentication credential for the provider
url<class 'str'>Nohttps://us-south.ml.cloud.ibm.comA base url for accessing the watsonx.ai
project_idstr | NoneNoThe watsonx.ai project ID
timeout<class 'int'>No60Timeout for the HTTP requests
+

Sample Configuration​

+
url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com}
api_key: ${env.WATSONX_API_KEY:=}
project_id: ${env.WATSONX_PROJECT_ID:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/openai.html b/docs/v0.3.0/docs/providers/openai.html new file mode 100644 index 00000000..16201bf6 --- /dev/null +++ b/docs/v0.3.0/docs/providers/openai.html @@ -0,0 +1,66 @@ + + + + + +OpenAI Compatibility | Llama Stack + + + + + + + + + + + +

OpenAI Compatibility

OpenAI API Compatibility​

+

Server path​

+

Llama Stack exposes OpenAI-compatible API endpoints at /v1. So, for a Llama Stack server running locally on port 8321, the full url to the OpenAI-compatible API endpoint is http://localhost:8321/v1.

+

Clients​

+

You should be able to use any client that speaks OpenAI APIs with Llama Stack. We regularly test with the official Llama Stack clients as well as OpenAI's official Python client.

+

Llama Stack Client​

+

When using the Llama Stack client, set the base_url to the root of your Llama Stack server. It will automatically route OpenAI-compatible requests to the right server endpoint for you.

+
from llama_stack_client import LlamaStackClient

client = LlamaStackClient(base_url="http://localhost:8321")
+

OpenAI Client​

+

When using an OpenAI client, set the base_url to the /v1 path on your Llama Stack server.

+
from openai import OpenAI

client = OpenAI(base_url="http://localhost:8321/v1", api_key="none")
+

Regardless of the client you choose, the following code examples should all work the same.

+

APIs implemented​

+

Models​

+

Many of the APIs require you to pass in a model parameter. To see the list of models available in your Llama Stack server:

+
models = client.models.list()
+

Responses​

+
+

Note: The Responses API implementation is still in active development. While it is quite usable, there are still unimplemented parts of the API. See Known Limitations of the OpenAI-compatible Responses API in Llama Stack for more details.

+
+
Simple inference​
+

Request:

+
response = client.responses.create(
    model="meta-llama/Llama-3.2-3B-Instruct",
    input="Write a haiku about coding."
)

print(response.output_text)
+

Example output:

+
Pixels dancing slow
Syntax whispers secrets sweet
Code's gentle silence
+
Structured Output​
+

Request:

+
response = client.responses.create(
    model="meta-llama/Llama-3.2-3B-Instruct",
    input=[
        {
            "role": "system",
            "content": "Extract the participants from the event information.",
        },
        {
            "role": "user",
            "content": "Alice and Bob are going to a science fair on Friday.",
        },
    ],
    text={
        "format": {
            "type": "json_schema",
            "name": "participants",
            "schema": {
                "type": "object",
                "properties": {
                    "participants": {"type": "array", "items": {"type": "string"}}
                },
                "required": ["participants"],
            },
        }
    },
)
print(response.output_text)
+

Example output:

+
{ "participants": ["Alice", "Bob"] }
+

Chat Completions​

+
Simple inference​
+

Request:

+
chat_completion = client.chat.completions.create(
    model="meta-llama/Llama-3.2-3B-Instruct",
    messages=[{"role": "user", "content": "Write a haiku about coding."}],
)

print(chat_completion.choices[0].message.content)
+

Example output:

+
Lines of code unfold
Logic flows like a river
Code's gentle beauty
+
Structured Output​
+

Request:

+
chat_completion = client.chat.completions.create(
    model="meta-llama/Llama-3.2-3B-Instruct",
    messages=[
        {
            "role": "system",
            "content": "Extract the participants from the event information.",
        },
        {
            "role": "user",
            "content": "Alice and Bob are going to a science fair on Friday.",
        },
    ],
    response_format={
        "type": "json_schema",
        "json_schema": {
            "name": "participants",
            "schema": {
                "type": "object",
                "properties": {
                    "participants": {"type": "array", "items": {"type": "string"}}
                },
                "required": ["participants"],
            },
        },
    },
)

print(chat_completion.choices[0].message.content)
+

Example output:

+
{ "participants": ["Alice", "Bob"] }
+

Completions​

+
Simple inference​
+

Request:

+
completion = client.completions.create(
    model="meta-llama/Llama-3.2-3B-Instruct", prompt="Write a haiku about coding."
)

print(completion.choices[0].text)
+

Example output:

+
Lines of code unfurl
Logic whispers in the dark
Art in hidden form
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/openai_responses_limitations.html b/docs/v0.3.0/docs/providers/openai_responses_limitations.html new file mode 100644 index 00000000..da1c76a0 --- /dev/null +++ b/docs/v0.3.0/docs/providers/openai_responses_limitations.html @@ -0,0 +1,194 @@ + + + + + +Known Limitations of the OpenAI-compatible Responses API in Llama Stack | Llama Stack + + + + + + + + + + + +

Known Limitations of the OpenAI-compatible Responses API in Llama Stack

Unresolved Issues​

+

This document outlines known limitations and inconsistencies between Llama Stack's Responses API and OpenAI's Responses API. This comparison is based on OpenAI's API and reflects a comparison with the OpenAI APIs as of October 6, 2025 (OpenAI's client version openai==1.107). +See the OpenAI changelog for details of any new functionality that has been added since that date. Links to issues are included so readers can read about status, post comments, and/or subscribe for updates relating to any limitations that are of specific interest to them. We would also love any other feedback on any use-cases you try that do not work to help prioritize the pieces left to implement. +Please open new issues in the meta-llama/llama-stack GitHub repository with details of anything that does not work that does not already have an open issue.

+

Instructions​

+

Status: Partial Implementation + Work in Progress

+

Issue: #3566

+

In Llama Stack, the instructions parameter is already implemented for creating a response, but it is not yet included in the output response object.

+
+

Streaming​

+

Status: Partial Implementation

+

Issue: #2364

+

Streaming functionality for the Responses API is partially implemented and does work to some extent, but some streaming response objects that would be needed for full compatibility are still missing.

+
+

Prompt Templates​

+

Status: Partial Implementation

+

Issue: #3321

+

OpenAI's platform supports templated prompts using a structured language. These templates can be stored server-side for organizational sharing. This feature is under development for Llama Stack.

+
+

Web-search tool compatibility​

+

Status: Partial Implementation

+

Both OpenAI and Llama Stack support a web-search built-in tool. The OpenAI documentation for web search tool in a Responses tool list says:

+
+

The type of the web search tool. One of web_search or web_search_2025_08_26.

+
+

In contrast, the Llama Stack documentation says that the allowed values for type for web search are MOD1, MOD2 and MOD3. +Is that correct? If so, what are the meanings of each of them? It might make sense for the allowed values for OpenAI map to some values for Llama Stack so that code written to the OpenAI specification +also work with Llama Stack.

+

The OpenAI web search tool also has fields for filters and user_location which are not documented as options for Llama Stack. If feasible, it would be good to support these too.

+
+

Other built-in Tools​

+

Status: Partial Implementation

+

OpenAI's Responses API includes an ecosystem of built-in tools (e.g., code interpreter) that lower the barrier to entry for agentic workflows. These tools are typically aligned with specific model training.

+

Current Status in Llama Stack:

+
    +
  • Some built-in tools exist (file search, web search)
    • +
  • Missing tools include code interpreter, computer use, and image generation
    • +
  • Some built-in tools may require additional APIs (e.g., containers API for code interpreter)
    • +
+

It's unclear whether there is demand for additional built-in tools in Llama Stack. No upstream issues have been filed for adding more built-in tools.

+
+

Response Branching​

+

Status: Not Working

+

Response branching, as discussed in the Agents vs OpenAI Responses API documentation, is not currently functional.

+
+

Include​

+

Status: Not Implemented

+

The include parameter allows you to provide a list of values that indicate additional information for the system to include in the model response. The OpenAI API specifies the following allowed values for this parameter.

+
    +
  • web_search_call.action.sources
    • +
  • code_interpreter_call.outputs
    • +
  • computer_call_output.output.image_url
    • +
  • file_search_call.results
    • +
  • message.input_image.image_url
    • +
  • message.output_text.logprobs
    • +
  • reasoning.encrypted_content
    • +
+

Some of these are not relevant to Llama Stack in its current form. For example, code interpreter is not implemented (see "Built-in tools" below), so code_interpreter_call.outputs would not be a useful directive to Llama Stack.

+

However, others might be useful. For example, message.output_text.logprobs can be useful for assessing how confident a model is in each token of its output.

+
+

Tool Choice​

+

Status: Not Implemented

+

Issue: #3548

+

In OpenAI's API, the tool_choice parameter allows you to set restrictions or requirements for which tools should be used when generating a response. This feature is not implemented in Llama Stack.

+
+

Safety Identification and Tracking​

+

Status: Not Implemented

+

OpenAI's platform allows users to track agentic users using a safety identifier passed with each response. When requests violate moderation or safety rules, account holders are alerted and automated actions can be taken. This capability is not currently available in Llama Stack.

+
+

Connectors​

+

Status: Not Implemented

+

Connectors are MCP servers maintained and managed by the Responses API provider. OpenAI has documented their connectors at https://platform.openai.com/docs/guides/tools-connectors-mcp.

+

Open Questions:

+
    +
  • Should Llama Stack include built-in support for some, all, or none of OpenAI's connectors?
    • +
  • Should there be a mechanism for administrators to add custom connectors via run.yaml or an API?
    • +
+
+

Reasoning​

+

Status: Partially Implemented

+

The reasoning object in the output of Responses works for inference providers such as vLLM that output reasoning traces in chat completions requests. It does not work for other providers such as OpenAI's hosted service. See #3551 for more details.

+
+

Service Tier​

+

Status: Not Implemented

+

Issue: #3550

+

Responses has a field service_tier that can be used to prioritize access to inference resources. Not all inference providers have such a concept, but Llama Stack pass through this value for those providers that do. Currently it does not.

+
+

Top Logprobs​

+

Status: Not Implemented

+

Issue: #3552

+

The top_logprobs parameter from OpenAI's Responses API extends the functionality obtained by including message.output_text.logprobs in the include parameter list (as discussed in the Include section above). +It enables users to also get logprobs for alternative tokens.

+
+

Max Tool Calls​

+

Status: Not Implemented

+

Issue: #3563

+

The Responses API can accept a max_tool_calls parameter that limits the number of tool calls allowed to be executed for a given response. This feature needs full implementation and documentation.

+
+

Max Output Tokens​

+

Status: Not Implemented

+

Issue: #3562

+

The max_output_tokens field limits how many tokens the model is allowed to generate (for both reasoning and output combined). It is not implemented in Llama Stack.

+
+

Incomplete Details​

+

Status: Not Implemented

+

Issue: #3567

+

The return object from a call to Responses includes a field for indicating why a response is incomplete if it is. For example, if the model stops generating because it has reached the specified max output tokens (see above), this field should be set to "IncompleteDetails(reason='max_output_tokens')". This is not implemented in Llama Stack.

+
+

Metadata​

+

Status: Not Implemented

+

Issue: #3564

+

Metadata allows you to attach additional information to a response for your own reference and tracking. It is not implemented in Llama Stack.

+
+

Background​

+

Status: Not Implemented

+

Issue: #3568

+

Background mode in OpenAI Responses lets you start a response generation job and then check back in on it later. This is useful if you might lose a connection during a generation and want to reconnect later and get the response back (for example if the client is running in a mobile app). It is not implemented in Llama Stack.

+
+

Global Guardrails​

+

Status: Feature Request

+

When calling the OpenAI Responses API, model outputs go through safety models configured by OpenAI administrators. Perhaps Llama Stack should provide a mechanism to configure safety models (or non-model logic) for all Responses requests, either through run.yaml or an administrative API.

+
+

User-Controlled Guardrails​

+

Status: Feature Request

+

Issue: #3325

+

OpenAI has not released a way for users to configure their own guardrails. However, Llama Stack users may want this capability to complement or replace global guardrails. This could be implemented as a non-breaking, additive difference from the OpenAI API.

+
+

MCP Elicitations​

+

Status: Unknown

+

Elicitations allow MCP servers to request additional information from users through the client during interactions (e.g., a tool requesting a username before proceeding). +See the MCP specification for details.

+

Open Questions:

+
    +
  • Does this work in OpenAI's Responses API reference implementation?
    • +
  • If not, is there a reasonable way to make that work within the API as is? Or would the API need to change?
    • +
  • Does this work in Llama Stack?
    • +
+
+

MCP Sampling​

+

Status: Unknown

+

Sampling allows MCP tools to query the generative AI model. See the MCP specification for details.

+

Open Questions:

+
    +
  • Does this work in OpenAI's Responses API reference implementation?
    • +
  • If not, is there a reasonable way to make that work within the API as is? Or would the API need to change?
    • +
  • Does this work in Llama Stack?
    • +
+

Prompt Caching​

+

Status: Unknown

+

OpenAI provides a prompt caching mechanism in Responses that is enabled for its most recent models.

+

Open Questions:

+
    +
  • Does this work in Llama Stack?
    • +
  • If not, is there a reasonable way to make that work for those inference providers that have this capability by passing through the provided prompt_cache_key to the inference provider?
    • +
  • Is there a reasonable way to make that work for inference providers that don't build in this capability by doing some sort of caching at the Llama Stack layer?
    • +
+
+

Parallel Tool Calls​

+

Status: Rumored Issue

+

There are reports that parallel_tool_calls may not work correctly. This needs verification and a ticket should be opened if confirmed.

+
+

Resolved Issues​

+

The following limitations have been addressed in recent releases:

+

MCP and Function Tools with No Arguments​

+

Status: ✅ Resolved

+

MCP and function tools now work correctly even when they have no arguments.

+
+

require_approval Parameter for MCP Tools​

+

Status: ✅ Resolved

+

The require_approval parameter for MCP tools in the Responses API now works correctly.

+
+

MCP Tools with Array-Type Arguments​

+

Status: ✅ Resolved

+

Fixed in: #3003 (Agent API), #3602 (Responses API)

+

MCP tools now correctly handle array-type arguments in both the Agent API and Responses API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training.html b/docs/v0.3.0/docs/providers/post_training.html new file mode 100644 index 00000000..fed485e8 --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training.html @@ -0,0 +1,22 @@ + + + + + +Post_Training | Llama Stack + + + + + + + + + + + +

Post_Training

+

Overview​

+

This section contains documentation for all available providers for the post_training API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_huggingface-cpu.html b/docs/v0.3.0/docs/providers/post_training/inline_huggingface-cpu.html new file mode 100644 index 00000000..0f442e82 --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_huggingface-cpu.html @@ -0,0 +1,26 @@ + + + + + +inline::huggingface-cpu | Llama Stack + + + + + + + + + + + +

inline::huggingface-cpu

+

Description​

+

HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
device<class 'str'>Nocuda
distributed_backendLiteral['fsdp', 'deepspeed'No
checkpoint_formatLiteral['full_state', 'huggingface'Nohuggingface
chat_template<class 'str'>No`<user
model_specific_config<class 'dict'>No&#123;'trust_remote_code': True, 'attn_implementation': 'sdpa'&#125;
max_seq_length<class 'int'>No2048
gradient_checkpointing<class 'bool'>NoFalse
save_total_limit<class 'int'>No3
logging_steps<class 'int'>No10
warmup_ratio<class 'float'>No0.1
weight_decay<class 'float'>No0.01
dataloader_num_workers<class 'int'>No4
dataloader_pin_memory<class 'bool'>NoTrue
dpo_beta<class 'float'>No0.1
use_reference_model<class 'bool'>NoTrue
dpo_loss_typeLiteral['sigmoid', 'hinge', 'ipo', 'kto_pair'Nosigmoid
dpo_output_dir<class 'str'>No
+

Sample Configuration​

+
checkpoint_format: huggingface
distributed_backend: null
device: cpu
dpo_output_dir: ~/.llama/dummy/dpo_output

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_huggingface-gpu.html b/docs/v0.3.0/docs/providers/post_training/inline_huggingface-gpu.html new file mode 100644 index 00000000..0249eb8d --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_huggingface-gpu.html @@ -0,0 +1,26 @@ + + + + + +inline::huggingface-gpu | Llama Stack + + + + + + + + + + + +

inline::huggingface-gpu

+

Description​

+

HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
device<class 'str'>Nocuda
distributed_backendLiteral['fsdp', 'deepspeed'No
checkpoint_formatLiteral['full_state', 'huggingface'Nohuggingface
chat_template<class 'str'>No`<user
model_specific_config<class 'dict'>No{'trust_remote_code': True, 'attn_implementation': 'sdpa'}
max_seq_length<class 'int'>No2048
gradient_checkpointing<class 'bool'>NoFalse
save_total_limit<class 'int'>No3
logging_steps<class 'int'>No10
warmup_ratio<class 'float'>No0.1
weight_decay<class 'float'>No0.01
dataloader_num_workers<class 'int'>No4
dataloader_pin_memory<class 'bool'>NoTrue
dpo_beta<class 'float'>No0.1
use_reference_model<class 'bool'>NoTrue
dpo_loss_typeLiteral['sigmoid', 'hinge', 'ipo', 'kto_pair'Nosigmoid
dpo_output_dir<class 'str'>No
+

Sample Configuration​

+
checkpoint_format: huggingface
distributed_backend: null
device: cpu
dpo_output_dir: ~/.llama/dummy/dpo_output
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_huggingface.html b/docs/v0.3.0/docs/providers/post_training/inline_huggingface.html new file mode 100644 index 00000000..ad224cca --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_huggingface.html @@ -0,0 +1,26 @@ + + + + + +inline::huggingface | Llama Stack + + + + + + + + + + + +

inline::huggingface

+

Description​

+

HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
device<class 'str'>Nocuda
distributed_backendLiteral['fsdp', 'deepspeed'No
checkpoint_formatLiteral['full_state', 'huggingface'Nohuggingface
chat_template<class 'str'>No`<user
model_specific_config<class 'dict'>No&#123;'trust_remote_code': True, 'attn_implementation': 'sdpa'&#125;
max_seq_length<class 'int'>No2048
gradient_checkpointing<class 'bool'>NoFalse
save_total_limit<class 'int'>No3
logging_steps<class 'int'>No10
warmup_ratio<class 'float'>No0.1
weight_decay<class 'float'>No0.01
dataloader_num_workers<class 'int'>No4
dataloader_pin_memory<class 'bool'>NoTrue
dpo_beta<class 'float'>No0.1
use_reference_model<class 'bool'>NoTrue
dpo_loss_typeLiteral['sigmoid', 'hinge', 'ipo', 'kto_pair'Nosigmoid
dpo_output_dir<class 'str'>No
+

Sample Configuration​

+
checkpoint_format: huggingface
distributed_backend: null
device: cpu
dpo_output_dir: ~/.llama/dummy/dpo_output

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_torchtune-cpu.html b/docs/v0.3.0/docs/providers/post_training/inline_torchtune-cpu.html new file mode 100644 index 00000000..fcceed63 --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_torchtune-cpu.html @@ -0,0 +1,26 @@ + + + + + +inline::torchtune-cpu | Llama Stack + + + + + + + + + + + +

inline::torchtune-cpu

+

Description​

+

TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
torch_seedint | NoneNo
checkpoint_formatLiteral['meta', 'huggingface'Nometa
+

Sample Configuration​

+
checkpoint_format: meta
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_torchtune-gpu.html b/docs/v0.3.0/docs/providers/post_training/inline_torchtune-gpu.html new file mode 100644 index 00000000..db1c723c --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_torchtune-gpu.html @@ -0,0 +1,26 @@ + + + + + +inline::torchtune-gpu | Llama Stack + + + + + + + + + + + +

inline::torchtune-gpu

+

Description​

+

TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
torch_seedint | NoneNo
checkpoint_formatLiteral['meta', 'huggingface'Nometa
+

Sample Configuration​

+
checkpoint_format: meta
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/inline_torchtune.html b/docs/v0.3.0/docs/providers/post_training/inline_torchtune.html new file mode 100644 index 00000000..d9395ef7 --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/inline_torchtune.html @@ -0,0 +1,26 @@ + + + + + +inline::torchtune | Llama Stack + + + + + + + + + + + +

inline::torchtune

+

Description​

+

TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
torch_seedint | NoneNo
checkpoint_formatLiteral['meta', 'huggingface'Nometa
+

Sample Configuration​

+
checkpoint_format: meta

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/post_training/remote_nvidia.html b/docs/v0.3.0/docs/providers/post_training/remote_nvidia.html new file mode 100644 index 00000000..0e81d4d6 --- /dev/null +++ b/docs/v0.3.0/docs/providers/post_training/remote_nvidia.html @@ -0,0 +1,26 @@ + + + + + +remote::nvidia | Llama Stack + + + + + + + + + + + +

remote::nvidia

+

Description​

+

NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe NVIDIA API key.
dataset_namespacestr | NoneNodefaultThe NVIDIA dataset namespace.
project_idstr | NoneNotest-example-model@v1The NVIDIA project ID.
customizer_urlstr | NoneNoBase URL for the NeMo Customizer API
timeout<class 'int'>No300Timeout for the NVIDIA Post Training API
max_retries<class 'int'>No3Maximum number of retries for the NVIDIA Post Training API
output_model_dir<class 'str'>Notest-example-model@v1Directory to save the output model
+

Sample Configuration​

+
api_key: ${env.NVIDIA_API_KEY:=}
dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default}
project_id: ${env.NVIDIA_PROJECT_ID:=test-project}
customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:=http://nemo.test}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety.html b/docs/v0.3.0/docs/providers/safety.html new file mode 100644 index 00000000..4cb40147 --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety.html @@ -0,0 +1,26 @@ + + + + + +Safety | Llama Stack + + + + + + + + + + + +

Safety

+

Overview​

+

Safety

+

OpenAI-compatible Moderations API.

+

This section contains documentation for all available providers for the safety API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/inline_code-scanner.html b/docs/v0.3.0/docs/providers/safety/inline_code-scanner.html new file mode 100644 index 00000000..d6967dbf --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/inline_code-scanner.html @@ -0,0 +1,24 @@ + + + + + +inline::code-scanner | Llama Stack + + + + + + + + + + + +

inline::code-scanner

+

Description​

+

Code Scanner safety provider for detecting security vulnerabilities and unsafe code patterns.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/inline_llama-guard.html b/docs/v0.3.0/docs/providers/safety/inline_llama-guard.html new file mode 100644 index 00000000..f878273b --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/inline_llama-guard.html @@ -0,0 +1,26 @@ + + + + + +inline::llama-guard | Llama Stack + + + + + + + + + + + +

inline::llama-guard

+

Description​

+

Llama Guard safety provider for content moderation and safety filtering using Meta's Llama Guard model.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
excluded_categorieslist[strNo[]
+

Sample Configuration​

+
excluded_categories: []
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/inline_prompt-guard.html b/docs/v0.3.0/docs/providers/safety/inline_prompt-guard.html new file mode 100644 index 00000000..a82bb350 --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/inline_prompt-guard.html @@ -0,0 +1,26 @@ + + + + + +inline::prompt-guard | Llama Stack + + + + + + + + + + + +

inline::prompt-guard

+

Description​

+

Prompt Guard safety provider for detecting and filtering unsafe prompts and content.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
guard_type<class 'str'>Noinjection
+

Sample Configuration​

+
guard_type: injection
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/remote_bedrock.html b/docs/v0.3.0/docs/providers/safety/remote_bedrock.html new file mode 100644 index 00000000..4d3a7600 --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/remote_bedrock.html @@ -0,0 +1,26 @@ + + + + + +remote::bedrock | Llama Stack + + + + + + + + + + + +

remote::bedrock

+

Description​

+

AWS Bedrock safety provider for content moderation using AWS's safety services.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
allowed_modelslist[str | NoneNoList of models that should be registered with the model registry. If None, all models are allowed.
refresh_models<class 'bool'>NoFalseWhether to refresh models periodically from the provider
aws_access_key_idstr | NoneNoThe AWS access key to use. Default use environment variable: AWS_ACCESS_KEY_ID
aws_secret_access_keystr | NoneNoThe AWS secret access key to use. Default use environment variable: AWS_SECRET_ACCESS_KEY
aws_session_tokenstr | NoneNoThe AWS session token to use. Default use environment variable: AWS_SESSION_TOKEN
region_namestr | NoneNoThe default AWS Region to use, for example, us-west-1 or us-west-2.Default use environment variable: AWS_DEFAULT_REGION
profile_namestr | NoneNoThe profile name that contains credentials to use.Default use environment variable: AWS_PROFILE
total_max_attemptsint | NoneNoAn integer representing the maximum number of attempts that will be made for a single request, including the initial attempt. Default use environment variable: AWS_MAX_ATTEMPTS
retry_modestr | NoneNoA string representing the type of retries Boto3 will perform.Default use environment variable: AWS_RETRY_MODE
connect_timeoutfloat | NoneNo60.0The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
read_timeoutfloat | NoneNo60.0The time in seconds till a timeout exception is thrown when attempting to read from a connection.The default is 60 seconds.
session_ttlint | NoneNo3600The time in seconds till a session expires. The default is 3600 seconds (1 hour).
+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/remote_nvidia.html b/docs/v0.3.0/docs/providers/safety/remote_nvidia.html new file mode 100644 index 00000000..ad89a510 --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/remote_nvidia.html @@ -0,0 +1,26 @@ + + + + + +remote::nvidia | Llama Stack + + + + + + + + + + + +

remote::nvidia

+

Description​

+

NVIDIA's safety provider for content moderation and safety filtering.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
guardrails_service_url<class 'str'>Nohttp://0.0.0.0:7331The url for accessing the Guardrails service
config_idstr | NoneNoself-checkGuardrails configuration ID to use from the Guardrails configuration store
+

Sample Configuration​

+
guardrails_service_url: ${env.GUARDRAILS_SERVICE_URL:=http://localhost:7331}
config_id: ${env.NVIDIA_GUARDRAILS_CONFIG_ID:=self-check}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/safety/remote_sambanova.html b/docs/v0.3.0/docs/providers/safety/remote_sambanova.html new file mode 100644 index 00000000..d75090f7 --- /dev/null +++ b/docs/v0.3.0/docs/providers/safety/remote_sambanova.html @@ -0,0 +1,26 @@ + + + + + +remote::sambanova | Llama Stack + + + + + + + + + + + +

remote::sambanova

+

Description​

+

SambaNova's safety provider for content moderation and safety filtering.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
url<class 'str'>Nohttps://api.sambanova.ai/v1The URL for the SambaNova AI server
api_keypydantic.types.SecretStr | NoneNoThe SambaNova cloud API Key
+

Sample Configuration​

+
url: https://api.sambanova.ai/v1
api_key: ${env.SAMBANOVA_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/scoring.html b/docs/v0.3.0/docs/providers/scoring.html new file mode 100644 index 00000000..d3a7ff33 --- /dev/null +++ b/docs/v0.3.0/docs/providers/scoring.html @@ -0,0 +1,22 @@ + + + + + +Scoring | Llama Stack + + + + + + + + + + + +

Scoring

+

Overview​

+

This section contains documentation for all available providers for the scoring API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/scoring/inline_basic.html b/docs/v0.3.0/docs/providers/scoring/inline_basic.html new file mode 100644 index 00000000..776dd18e --- /dev/null +++ b/docs/v0.3.0/docs/providers/scoring/inline_basic.html @@ -0,0 +1,24 @@ + + + + + +inline::basic | Llama Stack + + + + + + + + + + + +

inline::basic

+

Description​

+

Basic scoring provider for simple evaluation metrics and scoring functions.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/scoring/inline_braintrust.html b/docs/v0.3.0/docs/providers/scoring/inline_braintrust.html new file mode 100644 index 00000000..aed8800c --- /dev/null +++ b/docs/v0.3.0/docs/providers/scoring/inline_braintrust.html @@ -0,0 +1,26 @@ + + + + + +inline::braintrust | Llama Stack + + + + + + + + + + + +

inline::braintrust

+

Description​

+

Braintrust scoring provider for evaluation and scoring using the Braintrust platform.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
openai_api_keystr | NoneNoThe OpenAI API Key
+

Sample Configuration​

+
openai_api_key: ${env.OPENAI_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/scoring/inline_llm-as-judge.html b/docs/v0.3.0/docs/providers/scoring/inline_llm-as-judge.html new file mode 100644 index 00000000..8af9912f --- /dev/null +++ b/docs/v0.3.0/docs/providers/scoring/inline_llm-as-judge.html @@ -0,0 +1,24 @@ + + + + + +inline::llm-as-judge | Llama Stack + + + + + + + + + + + +

inline::llm-as-judge

+

Description​

+

LLM-as-judge scoring provider that uses language models to evaluate and score responses.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/telemetry.html b/docs/v0.3.0/docs/providers/telemetry.html new file mode 100644 index 00000000..9be258cd --- /dev/null +++ b/docs/v0.3.0/docs/providers/telemetry.html @@ -0,0 +1,22 @@ + + + + + +Telemetry | Llama Stack + + + + + + + + + + + +

Telemetry

+

Overview​

+

This section contains documentation for all available providers for the telemetry API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/telemetry/inline_meta-reference.html b/docs/v0.3.0/docs/providers/telemetry/inline_meta-reference.html new file mode 100644 index 00000000..78adbcd6 --- /dev/null +++ b/docs/v0.3.0/docs/providers/telemetry/inline_meta-reference.html @@ -0,0 +1,26 @@ + + + + + +inline::meta-reference | Llama Stack + + + + + + + + + + + +

inline::meta-reference

+

Description​

+

Meta's reference implementation of telemetry and observability using OpenTelemetry.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
otel_exporter_otlp_endpointstr | NoneNoThe OpenTelemetry collector endpoint URL (base URL for traces, metrics, and logs). If not set, the SDK will use OTEL_EXPORTER_OTLP_ENDPOINT environment variable.
service_name<class 'str'>No​The service name to use for telemetry
sinkslist[inline.telemetry.meta_reference.config.TelemetrySinkNo[]List of telemetry sinks to enable (possible values: otel_trace, otel_metric, console)
+

Sample Configuration​

+
service_name: "${env.OTEL_SERVICE_NAME:=\u200B}"
sinks: ${env.TELEMETRY_SINKS:=}
otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime.html b/docs/v0.3.0/docs/providers/tool_runtime.html new file mode 100644 index 00000000..0ab52ebd --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime.html @@ -0,0 +1,22 @@ + + + + + +Tool_Runtime | Llama Stack + + + + + + + + + + + +

Tool_Runtime

+

Overview​

+

This section contains documentation for all available providers for the tool_runtime API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime.html b/docs/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime.html new file mode 100644 index 00000000..5ca2f6b6 --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime.html @@ -0,0 +1,24 @@ + + + + + +inline::rag-runtime | Llama Stack + + + + + + + + + + + +

inline::rag-runtime

+

Description​

+

RAG (Retrieval-Augmented Generation) tool runtime for document ingestion, chunking, and semantic search.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/remote_bing-search.html b/docs/v0.3.0/docs/providers/tool_runtime/remote_bing-search.html new file mode 100644 index 00000000..b0b93d0d --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/remote_bing-search.html @@ -0,0 +1,26 @@ + + + + + +remote::bing-search | Llama Stack + + + + + + + + + + + +

remote::bing-search

+

Description​

+

Bing Search tool for web search capabilities using Microsoft's search engine.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNo
top_k<class 'int'>No3
+

Sample Configuration​

+
api_key: ${env.BING_API_KEY:}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/remote_brave-search.html b/docs/v0.3.0/docs/providers/tool_runtime/remote_brave-search.html new file mode 100644 index 00000000..ea397ff5 --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/remote_brave-search.html @@ -0,0 +1,26 @@ + + + + + +remote::brave-search | Llama Stack + + + + + + + + + + + +

remote::brave-search

+

Description​

+

Brave Search tool for web search capabilities with privacy-focused results.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe Brave Search API Key
max_results<class 'int'>No3The maximum number of results to return
+

Sample Configuration​

+
api_key: ${env.BRAVE_SEARCH_API_KEY:=}
max_results: 3
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol.html b/docs/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol.html new file mode 100644 index 00000000..486ce79c --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol.html @@ -0,0 +1,24 @@ + + + + + +remote::model-context-protocol | Llama Stack + + + + + + + + + + + +

remote::model-context-protocol

+

Description​

+

Model Context Protocol (MCP) tool for standardized tool calling and context management.

+

Sample Configuration​

+
{}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/remote_tavily-search.html b/docs/v0.3.0/docs/providers/tool_runtime/remote_tavily-search.html new file mode 100644 index 00000000..d5c1d850 --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/remote_tavily-search.html @@ -0,0 +1,26 @@ + + + + + +remote::tavily-search | Llama Stack + + + + + + + + + + + +

remote::tavily-search

+

Description​

+

Tavily Search tool for AI-optimized web search with structured results.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNoThe Tavily Search API Key
max_results<class 'int'>No3The maximum number of results to return
+

Sample Configuration​

+
api_key: ${env.TAVILY_SEARCH_API_KEY:=}
max_results: 3
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha.html b/docs/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha.html new file mode 100644 index 00000000..6d79ccce --- /dev/null +++ b/docs/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha.html @@ -0,0 +1,26 @@ + + + + + +remote::wolfram-alpha | Llama Stack + + + + + + + + + + + +

remote::wolfram-alpha

+

Description​

+

Wolfram Alpha tool for computational knowledge and mathematical calculations.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
api_keystr | NoneNo
+

Sample Configuration​

+
api_key: ${env.WOLFRAM_ALPHA_API_KEY:=}
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io.html b/docs/v0.3.0/docs/providers/vector_io.html new file mode 100644 index 00000000..7801f69b --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io.html @@ -0,0 +1,22 @@ + + + + + +Vector_Io | Llama Stack + + + + + + + + + + + +

Vector_Io

+

Overview​

+

This section contains documentation for all available providers for the vector_io API.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_chromadb.html b/docs/v0.3.0/docs/providers/vector_io/inline_chromadb.html new file mode 100644 index 00000000..0b68e1dd --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_chromadb.html @@ -0,0 +1,112 @@ + + + + + +inline::chromadb | Llama Stack + + + + + + + + + + + +

inline::chromadb

+

Description​

+

Chroma is an inline and remote vector +database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database. +That means you're not limited to storing vectors in memory or in a separate service.

+

Features​

+

Chroma supports:

+
    +
  • Store embeddings and their metadata
    • +
  • Vector search
    • +
  • Full-text search
    • +
  • Document storage
    • +
  • Metadata filtering
    • +
  • Multi-modal retrieval
    • +
+

Usage​

+

To use Chrome in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use chroma.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

You can install chroma using pip:

+
pip install chromadb
+

Documentation​

+

See Chroma's documentation for more details about Chroma in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
db_path<class 'str'>No
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend
+

Sample Configuration​

+
db_path: ${env.CHROMADB_PATH}
persistence:
  namespace: vector_io::chroma
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_faiss.html b/docs/v0.3.0/docs/providers/vector_io/inline_faiss.html new file mode 100644 index 00000000..c65e4710 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_faiss.html @@ -0,0 +1,141 @@ + + + + + +inline::faiss | Llama Stack + + + + + + + + + + + +

inline::faiss

+

Description​

+

Faiss is an inline vector database provider for Llama Stack. It +allows you to store and query vectors directly in memory. +That means you'll get fast and efficient vector retrieval.

+

Features​

+
    +
  • Lightweight and easy to use
    • +
  • Fully integrated with Llama Stack
    • +
  • GPU support
    • +
  • Vector search - FAISS supports pure vector similarity search using embeddings
    • +
+

Search Modes​

+

Supported:

+
    +
  • Vector Search (mode="vector"): Performs vector similarity search using embeddings
    • +
+

Not Supported:

+
    +
  • Keyword Search (mode="keyword"): Not supported by FAISS
    • +
  • Hybrid Search (mode="hybrid"): Not supported by FAISS
    • +
+
+

Note: FAISS is designed as a pure vector similarity search library. See the FAISS GitHub repository for more details about FAISS's core functionality.

+
+

Usage​

+

To use Faiss in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use Faiss.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

You can install Faiss using pip:

+
pip install faiss-cpu
+

Documentation​

+

See Faiss' documentation or the Faiss Wiki for +more details about Faiss in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
persistence:
  namespace: vector_io::faiss
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_meta-reference.html b/docs/v0.3.0/docs/providers/vector_io/inline_meta-reference.html new file mode 100644 index 00000000..91f596cc --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_meta-reference.html @@ -0,0 +1,28 @@ + + + + + +inline::meta-reference | Llama Stack + + + + + + + + + + + +

inline::meta-reference

+

Description​

+

Meta's reference implementation of a vector database.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
persistence:
  namespace: vector_io::faiss
  backend: kv_default
+

Deprecation Notice​

+
warning

Please use the inline::faiss provider instead.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_milvus.html b/docs/v0.3.0/docs/providers/vector_io/inline_milvus.html new file mode 100644 index 00000000..fe8db8b5 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_milvus.html @@ -0,0 +1,26 @@ + + + + + +inline::milvus | Llama Stack + + + + + + + + + + + +

inline::milvus

+

Description​

+

Please refer to the remote provider documentation.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
db_path<class 'str'>No
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend (SQLite only for now)
consistency_level<class 'str'>NoStrongThe consistency level of the Milvus server
+

Sample Configuration​

+
db_path: ${env.MILVUS_DB_PATH:=~/.llama/dummy}/milvus.db
persistence:
  namespace: vector_io::milvus
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_qdrant.html b/docs/v0.3.0/docs/providers/vector_io/inline_qdrant.html new file mode 100644 index 00000000..f1f1a94c --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_qdrant.html @@ -0,0 +1,140 @@ + + + + + +inline::qdrant | Llama Stack + + + + + + + + + + + +

inline::qdrant

+

Description​

+

Qdrant is an inline and remote vector database provider for Llama Stack. It +allows you to store and query vectors directly in memory. +That means you'll get fast and efficient vector retrieval.

+
+

By default, Qdrant stores vectors in RAM, delivering incredibly fast access for datasets that fit comfortably in +memory. But when your dataset exceeds RAM capacity, Qdrant offers Memmap as an alternative.

+

[An Introduction to Vector Databases]

+
+

Features​

+ +

Usage​

+

To use Qdrant in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use Qdrant.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

You can install Qdrant using docker:

+
docker pull qdrant/qdrant
+

Documentation​

+

See the Qdrant documentation for more details about Qdrant in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
path<class 'str'>No
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
path: ${env.QDRANT_PATH:=~/.llama/~/.llama/dummy}/qdrant.db
persistence:
  namespace: vector_io::qdrant
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_sqlite-vec.html b/docs/v0.3.0/docs/providers/vector_io/inline_sqlite-vec.html new file mode 100644 index 00000000..5c4f98ac --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_sqlite-vec.html @@ -0,0 +1,519 @@ + + + + + +inline::sqlite-vec | Llama Stack + + + + + + + + + + + +

inline::sqlite-vec

+

Description​

+

SQLite-Vec is an inline vector database provider for Llama Stack. It +allows you to store and query vectors directly within an SQLite database. +That means you're not limited to storing vectors in memory or in a separate service.

+

Features​

+
    +
  • Lightweight and easy to use
    • +
  • Fully integrated with Llama Stacks
    • +
  • Uses disk-based storage for persistence, allowing for larger vector storage
    • +
+

Comparison to Faiss​

+

The choice between Faiss and sqlite-vec should be made based on the needs of your application, +as they have different strengths.

+

Choosing the Right Provider​

+
ScenarioRecommended ToolReason
Online Analytical Processing (OLAP)FaissFast, in-memory searches
Online Transaction Processing (OLTP)sqlite-vecFrequent writes and reads
Frequent writessqlite-vecEfficient disk-based storage and incremental indexing
Large datasetssqlite-vecDisk-based storage for larger vector storage
Datasets that can fit in memory, frequent readsFaissOptimized for speed, indexing, and GPU acceleration
+

Empirical Example​

+

Consider the histogram below in which 10,000 randomly generated strings were inserted +in batches of 100 into both Faiss and sqlite-vec using client.tool_runtime.rag_tool.insert().

+
:alt: Comparison of SQLite-Vec and Faiss write times
:width: 400px
+

You will notice that the average write time for sqlite-vec was 788ms, compared to +47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather +uniformly spread across the [1500, 100000] interval.

+

Looking at each individual write in the order that the documents are inserted you'll see the increase in +write speed as Faiss reindexes the vectors after each write.

+
:alt: Comparison of SQLite-Vec and Faiss write times
:width: 400px
+

In comparison, the read times for Faiss was on average 10% faster than sqlite-vec. +The modes of the two distributions highlight the differences much further where Faiss +will likely yield faster read performance.

+
:alt: Comparison of SQLite-Vec and Faiss read times
:width: 400px
+

Usage​

+

To use sqlite-vec in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use SQLite-Vec.
    3. +
  3. Start storing and querying vectors.
    4. +
+

The SQLite-vec provider supports three search modes:

+
    +
  1. Vector Search (mode="vector"): Performs pure vector similarity search using the embeddings.
    2. +
  2. Keyword Search (mode="keyword"): Performs full-text search using SQLite's FTS5.
    3. +
  3. Hybrid Search (mode="hybrid"): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.
    4. +
+

Example with hybrid search:

+
response = await vector_io.query_chunks(
    vector_db_id="my_db",
    query="your query here",
    params={"mode": "hybrid", "max_chunks": 3, "score_threshold": 0.7},
)

# Using RRF ranker
response = await vector_io.query_chunks(
    vector_db_id="my_db",
    query="your query here",
    params={
        "mode": "hybrid",
        "max_chunks": 3,
        "score_threshold": 0.7,
        "ranker": {"type": "rrf", "impact_factor": 60.0},
    },
)

# Using weighted ranker
response = await vector_io.query_chunks(
    vector_db_id="my_db",
    query="your query here",
    params={
        "mode": "hybrid",
        "max_chunks": 3,
        "score_threshold": 0.7,
        "ranker": {"type": "weighted", "alpha": 0.7},  # 70% vector, 30% keyword
    },
)
+

Example with explicit vector search:

+
response = await vector_io.query_chunks(
    vector_db_id="my_db",
    query="your query here",
    params={"mode": "vector", "max_chunks": 3, "score_threshold": 0.7},
)
+

Example with keyword search:

+
response = await vector_io.query_chunks(
    vector_db_id="my_db",
    query="your query here",
    params={"mode": "keyword", "max_chunks": 3, "score_threshold": 0.7},
)
+

Supported Search Modes​

+

The SQLite vector store supports three search modes:

+
    +
  1. Vector Search (mode="vector"): Uses vector similarity to find relevant chunks
    2. +
  2. Keyword Search (mode="keyword"): Uses keyword matching to find relevant chunks
    3. +
  3. Hybrid Search (mode="hybrid"): Combines both vector and keyword scores using a ranker
    4. +
+ +

Hybrid search combines the strengths of both vector and keyword search by:

+
    +
  • Computing vector similarity scores
    • +
  • Computing keyword match scores
    • +
  • Using a ranker to combine these scores
    • +
+

Two ranker types are supported:

+
    +
  1. +

    RRF (Reciprocal Rank Fusion):

    +
      +
    • Combines ranks from both vector and keyword results
      • +
    • Uses an impact factor (default: 60.0) to control the weight of higher-ranked results
      • +
    • Good for balancing between vector and keyword results
      • +
    • The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) 1, which found this value to provide optimal performance across various retrieval tasks
      • +
    +
    2. +
  2. +

    Weighted:

    +
      +
    • Linearly combines normalized vector and keyword scores
      • +
    • Uses an alpha parameter (0-1) to control the blend: +
        +
      • alpha=0: Only use keyword scores
        • +
      • alpha=1: Only use vector scores
        • +
      • alpha=0.5: Equal weight to both (default)
        • +
      +
      • +
    +
    3. +
+

Example using RAGQueryConfig with different search modes:

+
from llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker

# Vector search
config = RAGQueryConfig(mode="vector", max_chunks=5)

# Keyword search
config = RAGQueryConfig(mode="keyword", max_chunks=5)

# Hybrid search with custom RRF ranker
config = RAGQueryConfig(
    mode="hybrid",
    max_chunks=5,
    ranker=RRFRanker(impact_factor=50.0),  # Custom impact factor
)

# Hybrid search with weighted ranker
config = RAGQueryConfig(
    mode="hybrid",
    max_chunks=5,
    ranker=WeightedRanker(alpha=0.7),  # 70% vector, 30% keyword
)

# Hybrid search with default RRF ranker
config = RAGQueryConfig(
    mode="hybrid", max_chunks=5
)  # Will use RRF with impact_factor=60.0
+

Note: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.

+

Installation​

+

You can install SQLite-Vec using pip:

+
pip install sqlite-vec
+

Documentation​

+

See sqlite-vec's GitHub repo for more details about sqlite-vec in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
db_path<class 'str'>NoPath to the SQLite database file
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend (SQLite only for now)
+

Sample Configuration​

+
db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/sqlite_vec.db
persistence:
  namespace: vector_io::sqlite_vec
  backend: kv_default
+ +

Footnotes​

+
    +
  1. +

    Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). Reciprocal rank fusion outperforms condorcet and individual rank learning methods. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759). ↩

    +
    2. +
+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/inline_sqlite_vec.html b/docs/v0.3.0/docs/providers/vector_io/inline_sqlite_vec.html new file mode 100644 index 00000000..59face83 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/inline_sqlite_vec.html @@ -0,0 +1,28 @@ + + + + + +inline::sqlite_vec | Llama Stack + + + + + + + + + + + +

inline::sqlite_vec

+

Description​

+

Please refer to the sqlite-vec provider documentation.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
db_path<class 'str'>NoPath to the SQLite database file
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend (SQLite only for now)
+

Sample Configuration​

+
db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/sqlite_vec.db
persistence:
  namespace: vector_io::sqlite_vec
  backend: kv_default
+

Deprecation Notice​

+
warning

Please use the inline::sqlite-vec provider (notice the hyphen instead of underscore) instead.

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/remote_chromadb.html b/docs/v0.3.0/docs/providers/vector_io/remote_chromadb.html new file mode 100644 index 00000000..b471a697 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/remote_chromadb.html @@ -0,0 +1,112 @@ + + + + + +remote::chromadb | Llama Stack + + + + + + + + + + + +

remote::chromadb

+

Description​

+

Chroma is an inline and remote vector +database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database. +That means you're not limited to storing vectors in memory or in a separate service.

+

Features​

+

Chroma supports:

+
    +
  • Store embeddings and their metadata
    • +
  • Vector search
    • +
  • Full-text search
    • +
  • Document storage
    • +
  • Metadata filtering
    • +
  • Multi-modal retrieval
    • +
+

Usage​

+

To use Chrome in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use chroma.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

You can install chroma using pip:

+
pip install chromadb
+

Documentation​

+

See Chroma's documentation for more details about Chroma in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
urlstr | NoneNo
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend
+

Sample Configuration​

+
url: ${env.CHROMADB_URL}
persistence:
  namespace: vector_io::chroma_remote
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/remote_milvus.html b/docs/v0.3.0/docs/providers/vector_io/remote_milvus.html new file mode 100644 index 00000000..fdebc3e5 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/remote_milvus.html @@ -0,0 +1,487 @@ + + + + + +remote::milvus | Llama Stack + + + + + + + + + + + +

remote::milvus

+

Description​

+

Milvus is an inline and remote vector database provider for Llama Stack. It +allows you to store and query vectors directly within a Milvus database. +That means you're not limited to storing vectors in memory or in a separate service.

+

Features​

+
    +
  • Easy to use
    • +
  • Fully integrated with Llama Stack
    • +
  • Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)
    • +
+

Usage​

+

To use Milvus in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use Milvus.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

If you want to use inline Milvus, you can install:

+
pip install pymilvus[milvus-lite]
+

If you want to use remote Milvus, you can install:

+
pip install pymilvus
+

Configuration​

+

In Llama Stack, Milvus can be configured in two ways:

+
    +
  • Inline (Local) Configuration - Uses Milvus-Lite for local storage
    • +
  • Remote Configuration - Connects to a remote Milvus server
    • +
+

Inline (Local) Configuration​

+

The simplest method is local configuration, which requires setting db_path, a path for locally storing Milvus-Lite files:

+
vector_io:
  - provider_id: milvus
    provider_type: inline::milvus
    config:
      db_path: ~/.llama/distributions/together/milvus_store.db
+

Remote Configuration​

+

Remote configuration is suitable for larger data storage requirements:

+

Standard Remote Connection​

+
vector_io:
  - provider_id: milvus
    provider_type: remote::milvus
    config:
      uri: "http://<host>:<port>"
      token: "<user>:<password>"
+

TLS-Enabled Remote Connection (One-way TLS)​

+

For connections to Milvus instances with one-way TLS enabled:

+
vector_io:
  - provider_id: milvus
    provider_type: remote::milvus
    config:
      uri: "https://<host>:<port>"
      token: "<user>:<password>"
      secure: True
      server_pem_path: "/path/to/server.pem"
+

Mutual TLS (mTLS) Remote Connection​

+

For connections to Milvus instances with mutual TLS (mTLS) enabled:

+
vector_io:
  - provider_id: milvus
    provider_type: remote::milvus
    config:
      uri: "https://<host>:<port>"
      token: "<user>:<password>"
      secure: True
      ca_pem_path: "/path/to/ca.pem"
      client_pem_path: "/path/to/client.pem"
      client_key_path: "/path/to/client.key"
+

Key Parameters for TLS Configuration​

+
    +
  • secure: Enables TLS encryption when set to true. Defaults to false.
    • +
  • server_pem_path: Path to the server certificate for verifying the server's identity (used in one-way TLS).
    • +
  • ca_pem_path: Path to the Certificate Authority (CA) certificate for validating the server certificate (required in mTLS).
    • +
  • client_pem_path: Path to the client certificate file (required for mTLS).
    • +
  • client_key_path: Path to the client private key file (required for mTLS).
    • +
+

Search Modes​

+

Milvus supports three different search modes for both inline and remote configurations:

+ +

Vector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.

+
# Vector search example
search_response = client.vector_stores.search(
    vector_store_id=vector_store.id,
    query="What is machine learning?",
    search_mode="vector",
    max_num_results=5,
)
+ +

Keyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.

+
# Keyword search example
search_response = client.vector_stores.search(
    vector_store_id=vector_store.id,
    query="Python programming language",
    search_mode="keyword",
    max_num_results=5,
)
+ +

Hybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.

+ +
# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)
search_response = client.vector_stores.search(
    vector_store_id=vector_store.id,
    query="neural networks in Python",
    search_mode="hybrid",
    max_num_results=5,
)
+

Note: The default impact_factor value of 60.0 was empirically determined to be optimal in the original RRF research paper: "Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods" (Cormack et al., 2009).

+

Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker​

+

RRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.

+
# Hybrid search with custom RRF parameters
search_response = client.vector_stores.search(
    vector_store_id=vector_store.id,
    query="neural networks in Python",
    search_mode="hybrid",
    max_num_results=5,
    ranking_options={
        "ranker": {
            "type": "rrf",
            "impact_factor": 100.0,  # Higher values give more weight to top-ranked results
        }
    },
)
+

Hybrid Search with Weighted Ranker​

+

Weighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.

+
# Hybrid search with weighted ranker
search_response = client.vector_stores.search(
    vector_store_id=vector_store.id,
    query="neural networks in Python",
    search_mode="hybrid",
    max_num_results=5,
    ranking_options={
        "ranker": {
            "type": "weighted",
            "alpha": 0.7,  # 70% vector search, 30% keyword search
        }
    },
)
+

For detailed documentation on RRF and Weighted rankers, please refer to the Milvus Reranking Guide.

+

Documentation​

+

See the Milvus documentation for more details about Milvus in general.

+

For more details on TLS configuration, refer to the TLS setup guide.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
uri<class 'str'>NoThe URI of the Milvus server
tokenstr | NoneNoThe token of the Milvus server
consistency_level<class 'str'>NoStrongThe consistency level of the Milvus server
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>NoConfig for KV store backend
configdictNo{}This configuration allows additional fields to be passed through to the underlying Milvus client. See the Milvus documentation for more details about Milvus in general.
+
note

This configuration class accepts additional fields beyond those listed above. You can pass any additional configuration options that will be forwarded to the underlying provider.

+

Sample Configuration​

+
uri: ${env.MILVUS_ENDPOINT}
token: ${env.MILVUS_TOKEN}
persistence:
  namespace: vector_io::milvus_remote
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/remote_pgvector.html b/docs/v0.3.0/docs/providers/vector_io/remote_pgvector.html new file mode 100644 index 00000000..4dacb5a1 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/remote_pgvector.html @@ -0,0 +1,335 @@ + + + + + +remote::pgvector | Llama Stack + + + + + + + + + + + +

remote::pgvector

+

Description​

+

PGVector is a remote vector database provider for Llama Stack. It +allows you to store and query vectors directly in memory. +That means you'll get fast and efficient vector retrieval.

+

Features​

+
    +
  • Easy to use
    • +
  • Fully integrated with Llama Stack
    • +
+

There are three implementations of search for PGVectoIndex available:

+
    +
  1. Vector Search:
    2. +
+
    +
  • How it works: +
      +
    • Uses PostgreSQL's vector extension (pgvector) to perform similarity search
      • +
    • Compares query embeddings against stored embeddings using Cosine distance or other distance metrics
      • +
    • Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance
      • +
    +
    • +
+

-Characteristics:

+
    +
  • Semantic understanding - finds documents similar in meaning even if they don't share keywords
    • +
  • Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)
    • +
  • Best for: Finding conceptually related content, handling synonyms, cross-language search
    • +
+
    +
  1. Keyword Search
    2. +
+
    +
  • +

    How it works:

    +
      +
    • Uses PostgreSQL's full-text search capabilities with tsvector and ts_rank
      • +
    • Converts text to searchable tokens using to_tsvector('english', text). Default language is English.
      • +
    • Eg. SQL query: SELECT document, ts_rank(tokenized_content, plainto_tsquery('english', %s)) AS score
      • +
    +
    • +
  • +

    Characteristics:

    +
      +
    • Lexical matching - finds exact keyword matches and variations
      • +
    • Uses GIN (Generalized Inverted Index) for fast text search performance
      • +
    • Scoring: Uses PostgreSQL's ts_rank function for relevance scoring
      • +
    • Best for: Exact term matching, proper names, technical terms, Boolean-style queries
      • +
    +
    • +
+
    +
  1. Hybrid Search
    2. +
+
    +
  • +

    How it works:

    +
      +
    • Combines both vector and keyword search results
      • +
    • Runs both searches independently, then merges results using configurable reranking
      • +
    +
    • +
  • +

    Two reranking strategies available:

    +
      +
    • Reciprocal Rank Fusion (RRF) - (default: 60.0)
      • +
    • Weighted Average - (default: 0.5)
      • +
    +
    • +
  • +

    Characteristics:

    +
      +
    • Best of both worlds: semantic understanding + exact matching
      • +
    • Documents appearing in both searches get boosted scores
      • +
    • Configurable balance between semantic and lexical matching
      • +
    • Best for: General-purpose search where you want both precision and recall
      • +
    +
    • +
+
    +
  1. Database Schema +The PGVector implementation stores data optimized for all three search types: +CREATE TABLE vector_store_xxx ( +id TEXT PRIMARY KEY, +document JSONB, -- Original document +embedding vector(dimension), -- For vector search +content_text TEXT, -- Raw text content +tokenized_content TSVECTOR -- For keyword search +);
    2. +
+

-- Indexes for performance +CREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search +-- Vector index created automatically by pgvector

+

Usage​

+

To use PGVector in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).
    3. +
  3. Start storing and querying vectors.
    4. +
+

This is an example how you can set up your environment for using PGVector​

+
    +
  1. Export env vars:
    2. +
+
export ENABLE_PGVECTOR=true
export PGVECTOR_HOST=localhost
export PGVECTOR_PORT=5432
export PGVECTOR_DB=llamastack
export PGVECTOR_USER=llamastack
export PGVECTOR_PASSWORD=llamastack
+
    +
  1. Create DB:
    2. +
+
psql -h localhost -U postgres -c "CREATE ROLE llamastack LOGIN PASSWORD 'llamastack';"
psql -h localhost -U postgres -c "CREATE DATABASE llamastack OWNER llamastack;"
psql -h localhost -U llamastack -d llamastack -c "CREATE EXTENSION IF NOT EXISTS vector;"
+

Installation​

+

You can install PGVector using docker:

+
docker pull pgvector/pgvector:pg17
+

Documentation​

+

See PGVector's documentation for more details about PGVector in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
hoststr | NoneNolocalhost
portint | NoneNo5432
dbstr | NoneNopostgres
userstr | NoneNopostgres
passwordstr | NoneNomysecretpassword
persistencellama_stack.core.storage.datatypes.KVStoreReference | NoneNoConfig for KV store backend (SQLite only for now)
+

Sample Configuration​

+
host: ${env.PGVECTOR_HOST:=localhost}
port: ${env.PGVECTOR_PORT:=5432}
db: ${env.PGVECTOR_DB}
user: ${env.PGVECTOR_USER}
password: ${env.PGVECTOR_PASSWORD}
persistence:
  namespace: vector_io::pgvector
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/remote_qdrant.html b/docs/v0.3.0/docs/providers/vector_io/remote_qdrant.html new file mode 100644 index 00000000..522e1bd1 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/remote_qdrant.html @@ -0,0 +1,26 @@ + + + + + +remote::qdrant | Llama Stack + + + + + + + + + + + +

remote::qdrant

+

Description​

+

Please refer to the inline provider documentation.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
locationstr | NoneNo
urlstr | NoneNo
portint | NoneNo6333
grpc_port<class 'int'>No6334
prefer_grpc<class 'bool'>NoFalse
httpsbool | NoneNo
api_keystr | NoneNo
prefixstr | NoneNo
timeoutint | NoneNo
hoststr | NoneNo
persistence<class 'llama_stack.core.storage.datatypes.KVStoreReference'>No
+

Sample Configuration​

+
api_key: ${env.QDRANT_API_KEY:=}
persistence:
  namespace: vector_io::qdrant_remote
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/providers/vector_io/remote_weaviate.html b/docs/v0.3.0/docs/providers/vector_io/remote_weaviate.html new file mode 100644 index 00000000..7f779fc6 --- /dev/null +++ b/docs/v0.3.0/docs/providers/vector_io/remote_weaviate.html @@ -0,0 +1,108 @@ + + + + + +remote::weaviate | Llama Stack + + + + + + + + + + + +

remote::weaviate

+

Description​

+

Weaviate is a vector database provider for Llama Stack. +It allows you to store and query vectors directly within a Weaviate database. +That means you're not limited to storing vectors in memory or in a separate service.

+

Features​

+

Weaviate supports:

+
    +
  • Store embeddings and their metadata
    • +
  • Vector search
    • +
  • Full-text search
    • +
  • Hybrid search
    • +
  • Document storage
    • +
  • Metadata filtering
    • +
  • Multi-modal retrieval
    • +
+

Usage​

+

To use Weaviate in your Llama Stack project, follow these steps:

+
    +
  1. Install the necessary dependencies.
    2. +
  2. Configure your Llama Stack project to use chroma.
    3. +
  3. Start storing and querying vectors.
    4. +
+

Installation​

+

To install Weaviate see the Weaviate quickstart documentation.

+

Documentation​

+

See Weaviate's documentation for more details about Weaviate in general.

+

Configuration​

+
FieldTypeRequiredDefaultDescription
weaviate_api_keystr | NoneNoThe API key for the Weaviate instance
weaviate_cluster_urlstr | NoneNolocalhost:8080The URL of the Weaviate cluster
persistencellama_stack.core.storage.datatypes.KVStoreReference | NoneNoConfig for KV store backend (SQLite only for now)
+

Sample Configuration​

+
weaviate_api_key: null
weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080}
persistence:
  namespace: vector_io::weaviate
  backend: kv_default
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references.html b/docs/v0.3.0/docs/references.html new file mode 100644 index 00000000..95496c3e --- /dev/null +++ b/docs/v0.3.0/docs/references.html @@ -0,0 +1,25 @@ + + + + + +References | Llama Stack + + + + + + + + + + + +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references/evals_reference.html b/docs/v0.3.0/docs/references/evals_reference.html new file mode 100644 index 00000000..f37f6c2e --- /dev/null +++ b/docs/v0.3.0/docs/references/evals_reference.html @@ -0,0 +1,162 @@ + + + + + +Evaluations | Llama Stack + + + + + + + + + + + +

Evaluations

+

The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks.

+

We introduce a set of APIs in Llama Stack for supporting running evaluations of LLM applications.

+
    +
  • /datasetio + /datasets API
    • +
  • /scoring + /scoring_functions API
    • +
  • /eval + /benchmarks API
    • +
+

This guide goes over the sets of APIs and developer experience flow of using Llama Stack to run evaluations for different use cases. Checkout our Colab notebook on working examples with evaluations here.

+

Evaluation Concepts​

+

The Evaluation APIs are associated with a set of Resources as shown in the following diagram. Please visit the Resources section in our Core Concepts guide for better high-level understanding.

+

Eval Concepts

+
    +
  • DatasetIO: defines interface with datasets and data loaders. +
      +
    • Associated with Dataset resource.
      • +
    +
    • +
  • Scoring: evaluate outputs of the system. +
      +
    • Associated with ScoringFunction resource. We provide a suite of out-of-the box scoring functions and also the ability for you to add custom evaluators. These scoring functions are the core part of defining an evaluation task to output evaluation metrics.
      • +
    +
    • +
  • Eval: generate outputs (via Inference or Agents) and perform scoring. +
      +
    • Associated with Benchmark resource.
      • +
    +
    • +
+

Evaluation Examples Walkthrough​

+

Open In Colab

+

It is best to open this notebook in Colab to follow along with the examples.

+

1. Open Benchmark Model Evaluation​

+

This first example walks you through how to evaluate a model candidate served by Llama Stack on open benchmarks. We will use the following benchmark:

+
    +
  • MMMU (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models.
    • +
  • SimpleQA: Benchmark designed to access models to answer short, fact-seeking questions.
    • +
+

1.1 Running MMMU​

+
    +
  • We will use a pre-processed MMMU dataset from llamastack/mmmu. The preprocessing code is shown in this GitHub Gist. The dataset is obtained by transforming the original MMMU/MMMU dataset into correct format by inference/chat-completion API.
    • +
+
import datasets

ds = datasets.load_dataset(path="llamastack/mmmu", name="Agriculture", split="dev")
ds = ds.select_columns(["chat_completion_input", "input_query", "expected_answer"])
eval_rows = ds.to_pandas().to_dict(orient="records")
+
    +
  • Next, we will run evaluation on an model candidate, we will need to: +
      +
    • Define a system prompt
      • +
    • Define an EvalCandidate
      • +
    • Run evaluate on the dataset
      • +
    +
    • +
+
from rich.pretty import pprint
from tqdm import tqdm

SYSTEM_PROMPT_TEMPLATE = """
You are an expert in {subject} whose job is to answer questions from the user using images.

First, reason about the correct answer.

Then write the answer in the following format where X is exactly one of A,B,C,D:

Answer: X

Make sure X is one of A,B,C,D.

If you are uncertain of the correct answer, guess the most likely one.
"""

system_message = {
    "role": "system",
    "content": SYSTEM_PROMPT_TEMPLATE.format(subject=subset),
}

# register the evaluation benchmark task with the dataset and scoring function
client.benchmarks.register(
    benchmark_id="meta-reference::mmmu",
    dataset_id=f"mmmu-{subset}-{split}",
    scoring_functions=["basic::regex_parser_multiple_choice_answer"],
)

response = client.eval.evaluate_rows(
    benchmark_id="meta-reference::mmmu",
    input_rows=eval_rows,
    scoring_functions=["basic::regex_parser_multiple_choice_answer"],
    benchmark_config={
        "eval_candidate": {
            "type": "model",
            "model": "meta-llama/Llama-3.2-90B-Vision-Instruct",
            "sampling_params": {
                "strategy": {
                    "type": "top_p",
                    "temperature": 1.0,
                    "top_p": 0.95,
                },
                "max_tokens": 4096,
                "repeat_penalty": 1.0,
            },
            "system_message": system_message,
        },
    },
)
pprint(response)
+

1.2. Running SimpleQA​

+
    +
  • We will use a pre-processed SimpleQA dataset from llamastack/evals which is obtained by transforming the input query into correct format accepted by inference/chat-completion API.
    • +
  • Since we will be using this same dataset in our next example for Agentic evaluation, we will register it using the /datasets API, and interact with it through /datasetio API.
    • +
+
simpleqa_dataset_id = "huggingface::simpleqa"

_ = client.datasets.register(
    purpose="eval/messages-answer",
    source={
        "type": "uri",
        "uri": "huggingface://datasets/llamastack/simpleqa?split=train",
    },
    dataset_id=simpleqa_dataset_id,
)

eval_rows = client.datasets.iterrows(
    dataset_id=simpleqa_dataset_id,
    limit=5,
)
+
client.benchmarks.register(
    benchmark_id="meta-reference::simpleqa",
    dataset_id=simpleqa_dataset_id,
    scoring_functions=["llm-as-judge::405b-simpleqa"],
)

response = client.eval.evaluate_rows(
    benchmark_id="meta-reference::simpleqa",
    input_rows=eval_rows.data,
    scoring_functions=["llm-as-judge::405b-simpleqa"],
    benchmark_config={
        "eval_candidate": {
            "type": "model",
            "model": "meta-llama/Llama-3.2-90B-Vision-Instruct",
            "sampling_params": {
                "strategy": {
                    "type": "greedy",
                },
                "max_tokens": 4096,
                "repeat_penalty": 1.0,
            },
        },
    },
)
pprint(response)
+

2. Agentic Evaluation​

+
    +
  • In this example, we will demonstrate how to evaluate a agent candidate served by Llama Stack via /agent API.
    • +
  • We will continue to use the SimpleQA dataset we used in previous example.
    • +
  • Instead of running evaluation on model, we will run the evaluation on a Search Agent with access to search tool. We will define our agent evaluation candidate through AgentConfig.
    • +
+
agent_config = {
    "model": "meta-llama/Llama-3.3-70B-Instruct",
    "instructions": "You are a helpful assistant that have access to tool to search the web. ",
    "sampling_params": {
        "strategy": {
            "type": "top_p",
            "temperature": 0.5,
            "top_p": 0.9,
        }
    },
    "toolgroups": [
        "builtin::websearch",
    ],
    "tool_choice": "auto",
    "tool_prompt_format": "json",
    "input_shields": [],
    "output_shields": [],
    "enable_session_persistence": False,
}

response = client.eval.evaluate_rows(
    benchmark_id="meta-reference::simpleqa",
    input_rows=eval_rows.data,
    scoring_functions=["llm-as-judge::405b-simpleqa"],
    benchmark_config={
        "eval_candidate": {
            "type": "agent",
            "config": agent_config,
        },
    },
)
pprint(response)
+

3. Agentic Application Dataset Scoring​

+

Open In Colab

+

Llama Stack offers a library of scoring functions and the /scoring API, allowing you to run evaluations on your pre-annotated AI application datasets.

+

In this example, we will work with an example RAG dataset you have built previously, label with an annotation, and use LLM-As-Judge with custom judge prompt for scoring. Please checkout our Llama Stack Playground for an interactive interface to upload datasets and run scorings.

+
judge_model_id = "meta-llama/Llama-3.1-405B-Instruct-FP8"

JUDGE_PROMPT = """
Given a QUESTION and GENERATED_RESPONSE and EXPECTED_RESPONSE.

Compare the factual content of the GENERATED_RESPONSE with the EXPECTED_RESPONSE. Ignore any differences in style, grammar, or punctuation.
  The GENERATED_RESPONSE may either be a subset or superset of the EXPECTED_RESPONSE, or it may conflict with it. Determine which case applies. Answer the question by selecting one of the following options:
  (A) The GENERATED_RESPONSE is a subset of the EXPECTED_RESPONSE and is fully consistent with it.
  (B) The GENERATED_RESPONSE is a superset of the EXPECTED_RESPONSE and is fully consistent with it.
  (C) The GENERATED_RESPONSE contains all the same details as the EXPECTED_RESPONSE.
  (D) There is a disagreement between the GENERATED_RESPONSE and the EXPECTED_RESPONSE.
  (E) The answers differ, but these differences don't matter from the perspective of factuality.

Give your answer in the format "Answer: One of ABCDE, Explanation: ".

Your actual task:

QUESTION: {input_query}
GENERATED_RESPONSE: {generated_answer}
EXPECTED_RESPONSE: {expected_answer}
"""

input_query = (
    "What are the top 5 topics that were explained? Only list succinct bullet points."
)
generated_answer = """
Here are the top 5 topics that were explained in the documentation for Torchtune:

* What is LoRA and how does it work?
* Fine-tuning with LoRA: memory savings and parameter-efficient finetuning
* Running a LoRA finetune with Torchtune: overview and recipe
* Experimenting with different LoRA configurations: rank, alpha, and attention modules
* LoRA finetuning
"""
expected_answer = """LoRA"""

dataset_rows = [
    {
        "input_query": input_query,
        "generated_answer": generated_answer,
        "expected_answer": expected_answer,
    },
]

scoring_params = {
    "llm-as-judge::base": {
        "judge_model": judge_model_id,
        "prompt_template": JUDGE_PROMPT,
        "type": "llm_as_judge",
        "judge_score_regexes": ["Answer: (A|B|C|D|E)"],
    },
    "basic::subset_of": None,
    "braintrust::factuality": None,
}

response = client.scoring.score(
    input_rows=dataset_rows, scoring_functions=scoring_params
)
+

Running Evaluations via CLI​

+

The following examples give the quick steps to start running evaluations using the llama-stack-client CLI.

+

Benchmark Evaluation CLI​

+

There are 3 necessary input for running a benchmark eval

+
    +
  • list of benchmark_ids: The list of benchmark ids to run evaluation on
    • +
  • model-id: The model id to evaluate on
    • +
  • output_dir: Path to store the evaluate results
    • +
+
llama-stack-client eval run-benchmark <benchmark_id_1> <benchmark_id_2> ... \
--model_id <model id to evaluate on> \
--output_dir <directory to store the evaluate results> \
+

You can run

+
llama-stack-client eval run-benchmark help
+

to see the description of all the flags to run benchmark eval

+

In the output log, you can find the path to the file that has your evaluation results. Open that file and you can see your aggregate evaluation results over there.

+

Application Evaluation CLI​

+

Usage: For running application evals, you will already have available datasets in hand from your application. You will need to specify:

+
    +
  • scoring-fn-id: List of ScoringFunction identifiers you wish to use to run on your application.
    • +
  • Dataset used for evaluation: +
      +
    • (1) --dataset-path: path to local file system containing datasets to run evaluation on
      • +
    • (2) --dataset-id: pre-registered dataset in Llama Stack
      • +
    +
    • +
  • (Optional) --scoring-params-config: optionally parameterize scoring functions with custom params (e.g. judge_prompt, judge_model, parsing_regexes).
    • +
+
llama-stack-client eval run_scoring <scoring_fn_id_1> <scoring_fn_id_2> ... <scoring_fn_id_n>
--dataset-path <path-to-local-dataset> \
--output-dir ./
+

Defining BenchmarkConfig​

+

The BenchmarkConfig are user specified config to define:

+
    +
  1. EvalCandidate to run generation on: +
      +
    • ModelCandidate: The model will be used for generation through LlamaStack /inference API.
      • +
    • AgentCandidate: The agentic system specified by AgentConfig will be used for generation through LlamaStack /agents API.
      • +
    +
    2. +
  2. Optionally scoring function params to allow customization of scoring function behaviour. This is useful to parameterize generic scoring functions such as LLMAsJudge with custom judge_model / judge_prompt.
    3. +
+

Example BenchmarkConfig

+
{
    "eval_candidate": {
        "type": "model",
        "model": "Llama3.1-405B-Instruct",
        "sampling_params": {
            "strategy": {
                "type": "greedy",
            },
            "max_tokens": 0,
            "repetition_penalty": 1.0
        }
    },
    "scoring_params": {
        "llm-as-judge::llm_as_judge_base": {
            "type": "llm_as_judge",
            "judge_model": "meta-llama/Llama-3.1-8B-Instruct",
            "prompt_template": "Your job is to look at a question, a gold target ........",
            "judge_score_regexes": [
                "(A|B|C)"
            ]
        }
    }
}
+

Open-benchmark Contributing Guide​

+

Create the new dataset for your new benchmark​

+

An eval open-benchmark essentially contains 2 parts:

+
    +
  • raw data: The raw dataset associated with the benchmark. You typically need to search the original paper that introduces the benchmark and find the canonical dataset (usually hosted on huggingface)
    • +
  • prompt template: How to ask the candidate model to generate the answer (prompt template plays a critical role to the evaluation results). Typically, you can find the reference prompt template associated with the benchmark in benchmarks author's repo (example) or some other popular open source repos (example)
    • +
+

To create new open-benchmark in llama stack, you need to combine the prompt template and the raw data into the chat_completion_input column in the evaluation dataset.

+

Llama stack enforces the evaluate dataset schema to contain at least 3 columns:

+
    +
  • chat_completion_input: The actual input to the model to run the generation for eval
    • +
  • input_query: The raw input from the raw dataset without the prompt template
    • +
  • expected_answer: The ground truth for scoring functions to calculate the score from.
    • +
+

You need to write a script example convert script to convert the benchmark raw dataset to llama stack format eval dataset and update the dataset to huggingface example benchmark dataset

+

Find scoring function for your new benchmark​

+

The purpose of scoring function is to calculate the score for each example based on candidate model generation result and expected_answer. It also aggregates the scores from all the examples and generate the final evaluate results.

+

Firstly, you can see if the existing llama stack scoring functions can fulfill your need. If not, you need to write a new scoring function based on what benchmark author / other open source repo describe.

+

Add new benchmark into template​

+

Firstly, you need to add the evaluation dataset associated with your benchmark under datasets resource in the open-benchmark

+

Secondly, you need to add the new benchmark you just created under the benchmarks resource in the same template. To add the new benchmark, you need to have

+
    +
  • benchmark_id: identifier of the benchmark
    • +
  • dataset_id: identifier of the dataset associated with your benchmark
    • +
  • scoring_functions: scoring function to calculate the score based on generation results and expected_answer
    • +
+

Test the new benchmark​

+

Spin up llama stack server with 'open-benchmark' templates

+
llama stack run llama_stack/distributions/open-benchmark/run.yaml
+

Run eval benchmark CLI with your new benchmark id

+
llama-stack-client eval run-benchmark <new_benchmark_id> \
--model_id <model id to evaluate on> \
--output_dir <directory to store the evaluate results> \
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references/llama_cli_reference.html b/docs/v0.3.0/docs/references/llama_cli_reference.html new file mode 100644 index 00000000..54113533 --- /dev/null +++ b/docs/v0.3.0/docs/references/llama_cli_reference.html @@ -0,0 +1,52 @@ + + + + + +llama (server-side) CLI Reference | Llama Stack + + + + + + + + + + + +

llama (server-side) CLI Reference

+

The llama CLI tool helps you set up and use the Llama Stack. The CLI is available on your path after installing the llama-stack package.

+

Installation​

+

You have two ways to install Llama Stack:

+
    +
  1. +

    Install as a package: +You can install the repository directly from PyPI by running the following command:

    +
    pip install llama-stack
    +
    2. +
  2. +

    Install from source: +If you prefer to install from the source code, follow these steps:

    +
     mkdir -p ~/local
     cd ~/local
     git clone git@github.com:meta-llama/llama-stack.git

     uv venv myenv --python 3.12
     source myenv/bin/activate  # On Windows: myenv\Scripts\activate

     cd llama-stack
     pip install -e .

    +
    3. +
+

llama subcommands​

+
    +
  1. stack: Allows you to build a stack using the llama stack distribution and run a Llama Stack server. You can read more about how to build a Llama Stack distribution in the Build your own Distribution documentation.
    2. +
+

For downloading models, we recommend using the Hugging Face CLI. See Downloading models for more information.

+

Sample Usage​

+
llama --help
+
usage: llama [-h] {stack} ...

Welcome to the Llama CLI

options:
  -h, --help  show this help message and exit

subcommands:
  {stack}

  stack                 Operations for the Llama Stack / Distributions
+

Downloading models​

+

You first need to have models downloaded locally. We recommend using the Hugging Face CLI to download models.

+

First, install the Hugging Face CLI:

+
pip install huggingface_hub[cli]
+

Then authenticate and download models:

+
# Authenticate with Hugging Face
huggingface-cli login

# Download a model
huggingface-cli download meta-llama/Llama-3.2-3B-Instruct --local-dir ~/.llama/Llama-3.2-3B-Instruct
+

List the downloaded models​

+

To list the downloaded models, you can use the Hugging Face CLI:

+
# List all downloaded models in your local cache
huggingface-cli scan-cache
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references/llama_cli_reference/download_models.html b/docs/v0.3.0/docs/references/llama_cli_reference/download_models.html new file mode 100644 index 00000000..859650a1 --- /dev/null +++ b/docs/v0.3.0/docs/references/llama_cli_reference/download_models.html @@ -0,0 +1,51 @@ + + + + + +Downloading Models | Llama Stack + + + + + + + + + + + +

Downloading Models

+

The llama CLI tool helps you setup and use the Llama Stack. It should be available on your path after installing the llama-stack package.

+

Installation​

+

You have two ways to install Llama Stack:

+
    +
  1. +

    Install as a package: +You can install the repository directly from PyPI by running the following command:

    +
    pip install llama-stack
    +
    2. +
  2. +

    Install from source: +If you prefer to install from the source code, follow these steps:

    +
     mkdir -p ~/local
     cd ~/local
     git clone git@github.com:meta-llama/llama-stack.git

     uv venv myenv --python 3.12
     source myenv/bin/activate  # On Windows: myenv\Scripts\activate

     cd llama-stack
     pip install -e .
    +
    3. +
+

Downloading models via Hugging Face CLI​

+

You first need to have models downloaded locally. We recommend using the Hugging Face CLI to download models.

+

Install Hugging Face CLI​

+

First, install the Hugging Face CLI:

+
pip install huggingface_hub[cli]
+

Download models from Hugging Face​

+

You can download models using the huggingface-cli download command. Here are some examples:

+
# Download Llama 3.2 3B Instruct model
huggingface-cli download meta-llama/Llama-3.2-3B-Instruct --local-dir ~/.llama/Llama-3.2-3B-Instruct

# Download Llama 3.2 1B Instruct model
huggingface-cli download meta-llama/Llama-3.2-1B-Instruct --local-dir ~/.llama/Llama-3.2-1B-Instruct

# Download Llama Guard 3 1B model
huggingface-cli download meta-llama/Llama-Guard-3-1B --local-dir ~/.llama/Llama-Guard-3-1B

# Download Prompt Guard model
huggingface-cli download meta-llama/Prompt-Guard-86M --local-dir ~/.llama/Prompt-Guard-86M
+

Important: You need to authenticate with Hugging Face to download models. You can do this by:

+
    +
  1. Getting your token from https://huggingface.co/settings/tokens
    2. +
  2. Running huggingface-cli login and entering your token
    3. +
+

List the downloaded models​

+

To list the downloaded models, you can use the Hugging Face CLI:

+
# List all downloaded models in your local cache
huggingface-cli scan-cache
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references/llama_stack_client_cli_reference.html b/docs/v0.3.0/docs/references/llama_stack_client_cli_reference.html new file mode 100644 index 00000000..84a7caa3 --- /dev/null +++ b/docs/v0.3.0/docs/references/llama_stack_client_cli_reference.html @@ -0,0 +1,288 @@ + + + + + +llama (client-side) CLI Reference | Llama Stack + + + + + + + + + + + +

llama (client-side) CLI Reference

+

The llama-stack-client CLI allows you to query information about the distribution.

+

Basic Commands​

+

llama-stack-client​

+
llama-stack-client
Usage: llama-stack-client [OPTIONS] COMMAND [ARGS]...

  Welcome to the llama-stack-client CLI - a command-line interface for
  interacting with Llama Stack

Options:
  --version        Show the version and exit.
  --endpoint TEXT  Llama Stack distribution endpoint
  --api-key TEXT   Llama Stack distribution API key
  --config TEXT    Path to config file
  --help           Show this message and exit.

Commands:
  configure          Configure Llama Stack Client CLI.
  datasets           Manage datasets.
  eval               Run evaluation tasks.
  eval_tasks         Manage evaluation tasks.
  inference          Inference (chat).
  inspect            Inspect server configuration.
  models             Manage GenAI models.
  post_training      Post-training.
  providers          Manage API providers.
  scoring_functions  Manage scoring functions.
  shields            Manage safety shield services.
  toolgroups         Manage available tool groups.
+

llama-stack-client configure​

+

Configure Llama Stack Client CLI.

+
llama-stack-client configure
> Enter the host name of the Llama Stack distribution server: localhost
> Enter the port number of the Llama Stack distribution server: 8321
Done! You can now use the Llama Stack Client CLI with endpoint http://localhost:8321
+

Optional arguments:

+
    +
  • --endpoint: Llama Stack distribution endpoint
    • +
  • --api-key: Llama Stack distribution API key
    • +
+

llama-stack-client inspect version​

+

Inspect server configuration.

+
llama-stack-client inspect version
+
VersionInfo(version='0.2.14')
+

llama-stack-client providers list​

+

Show available providers on distribution endpoint

+
llama-stack-client providers list
+
+-----------+----------------+-----------------+
| API       | Provider ID    | Provider Type   |
+===========+================+=================+
| scoring   | meta0          | meta-reference  |
+-----------+----------------+-----------------+
| datasetio | meta0          | meta-reference  |
+-----------+----------------+-----------------+
| inference | tgi0           | remote::tgi     |
+-----------+----------------+-----------------+
| memory    | meta-reference | meta-reference  |
+-----------+----------------+-----------------+
| agents    | meta-reference | meta-reference  |
+-----------+----------------+-----------------+
| telemetry | meta-reference | meta-reference  |
+-----------+----------------+-----------------+
| safety    | meta-reference | meta-reference  |
+-----------+----------------+-----------------+
+

llama-stack-client providers inspect​

+

Show specific provider configuration on distribution endpoint

+
llama-stack-client providers inspect <provider_id>
+

Inference​

+

Inference (chat).

+

llama-stack-client inference chat-completion​

+

Show available inference chat completion endpoints on distribution endpoint

+
llama-stack-client inference chat-completion --message <message> [--stream] [--session] [--model-id]
+
OpenAIChatCompletion(
    id='chatcmpl-aacd11f3-8899-4ec5-ac5b-e655132f6891',
    choices=[
        OpenAIChatCompletionChoice(
            finish_reason='stop',
            index=0,
            message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(
                role='assistant',
                content='The captain of the whaleship Pequod in Nathaniel Hawthorne\'s novel "Moby-Dick" is Captain
Ahab. He\'s a vengeful and obsessive old sailor who\'s determined to hunt down and kill the white sperm whale
Moby-Dick, whom he\'s lost his leg to in a previous encounter.',
                name=None,
                tool_calls=None,
                refusal=None,
                annotations=None,
                audio=None,
                function_call=None
            ),
            logprobs=None
        )
    ],
    created=1752578797,
    model='llama3.2:3b-instruct-fp16',
    object='chat.completion',
    service_tier=None,
    system_fingerprint='fp_ollama',
    usage={
        'completion_tokens': 67,
        'prompt_tokens': 33,
        'total_tokens': 100,
        'completion_tokens_details': None,
        'prompt_tokens_details': None
    }
)
+

Required arguments: +Note: At least one of these parameters is required for chat completion

+
    +
  • --message: Message
    • +
  • --session: Start a Chat Session
    • +
+

Optional arguments:

+
    +
  • --stream: Stream
    • +
  • --model-id: Model ID
    • +
+

Model Management​

+

Manage GenAI models.

+

llama-stack-client models list​

+

Show available llama models at distribution endpoint

+
llama-stack-client models list
+
Available Models

┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┓
┃ model_type   ┃ identifier                           ┃ provider_resource_id         ┃ metadata  ┃ provider_id ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━┩
│ llm          │ meta-llama/Llama-3.2-3B-Instruct     │ llama3.2:3b-instruct-fp16    │           │ ollama      │
└──────────────┴──────────────────────────────────────┴──────────────────────────────┴───────────┴─────────────┘

Total models: 1
+

llama-stack-client models get​

+

Show details of a specific model at the distribution endpoint

+
llama-stack-client models get Llama3.1-8B-Instruct
+
+----------------------+----------------------+----------------------------------------------------------+---------------+
| identifier           | llama_model          | metadata                                                 | provider_id   |
+======================+======================+==========================================================+===============+
| Llama3.1-8B-Instruct | Llama3.1-8B-Instruct | {'huggingface_repo': 'meta-llama/Llama-3.1-8B-Instruct'} | tgi0          |
+----------------------+----------------------+----------------------------------------------------------+---------------+
+
llama-stack-client models get Random-Model

Model RandomModel is not found at distribution endpoint host:port. Please ensure endpoint is serving specified model.
+

llama-stack-client models register​

+

Register a new model at distribution endpoint

+
llama-stack-client models register <model_id> [--provider-id <provider_id>] [--provider-model-id <provider_model_id>] [--metadata <metadata>] [--model-type <model_type>]
+

Required arguments:

+
    +
  • MODEL_ID: Model ID
    • +
  • --provider-id: Provider ID for the model
    • +
+

Optional arguments:

+
    +
  • --provider-model-id: Provider's model ID
    • +
  • --metadata: JSON metadata for the model
    • +
  • --model-type: Model type: llm, embedding
    • +
+

llama-stack-client models unregister​

+

Unregister a model from distribution endpoint

+
llama-stack-client models unregister <model_id>
+

Shield Management​

+

Manage safety shield services.

+

llama-stack-client shields list​

+

Show available safety shields on distribution endpoint

+
llama-stack-client shields list
+
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ identifier                       ┃ provider_alias                                                        ┃ params                ┃ provider_id                        ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ ollama                           │ ollama/llama-guard3:1b                                                │                       │ llama-guard                        │
└──────────────────────────────────┴───────────────────────────────────────────────────────────────────────┴───────────────────────┴────────────────────────────────────┘
+

llama-stack-client shields register​

+

Register a new safety shield

+
llama-stack-client shields register --shield-id <shield-id> [--provider-id <provider-id>] [--provider-shield-id <provider-shield-id>] [--params <params>]
+

Required arguments:

+
    +
  • --shield-id: ID of the shield
    • +
+

Optional arguments:

+
    +
  • --provider-id: Provider ID for the shield
    • +
  • --provider-shield-id: Provider's shield ID
    • +
  • --params: JSON configuration parameters for the shield
    • +
+

Eval execution​

+

Run evaluation tasks.

+

llama-stack-client eval run-benchmark​

+

Run a evaluation benchmark task

+
llama-stack-client eval run-benchmark <eval-task-id1> [<eval-task-id2> ...] --eval-task-config <config-file> --output-dir <output-dir> --model-id <model-id> [--num-examples <num>] [--visualize] [--repeat-penalty <repeat-penalty>] [--top-p <top-p>] [--max-tokens <max-tokens>]
+

Required arguments:

+
    +
  • --eval-task-config: Path to the eval task config file in JSON format
    • +
  • --output-dir: Path to the directory where evaluation results will be saved
    • +
  • --model-id: model id to run the benchmark eval on
    • +
+

Optional arguments:

+
    +
  • --num-examples: Number of examples to evaluate (useful for debugging)
    • +
  • --visualize: If set, visualizes evaluation results after completion
    • +
  • --repeat-penalty: repeat-penalty in the sampling params to run generation
    • +
  • --top-p: top-p in the sampling params to run generation
    • +
  • --max-tokens: max-tokens in the sampling params to run generation
    • +
  • --temperature: temperature in the sampling params to run generation
    • +
+

Example benchmark_config.json:

+
{
    "type": "benchmark",
    "eval_candidate": {
        "type": "model",
        "model": "Llama3.1-405B-Instruct",
        "sampling_params": {
            "strategy": "greedy",
        }
    }
}
+

llama-stack-client eval run-scoring​

+

Run scoring from application datasets

+
llama-stack-client eval run-scoring <eval-task-id> --output-dir <output-dir> [--num-examples <num>] [--visualize]
+

Required arguments:

+
    +
  • --output-dir: Path to the directory where scoring results will be saved
    • +
+

Optional arguments:

+
    +
  • --num-examples: Number of examples to evaluate (useful for debugging)
    • +
  • --visualize: If set, visualizes scoring results after completion
    • +
  • --scoring-params-config: Path to the scoring params config file in JSON format
    • +
  • --dataset-id: Pre-registered dataset_id to score (from llama-stack-client datasets list)
    • +
  • --dataset-path: Path to the dataset file to score
    • +
+

Eval Tasks​

+

Manage evaluation tasks.

+

llama-stack-client eval_tasks list​

+

Show available eval tasks on distribution endpoint

+
llama-stack-client eval_tasks list
+

llama-stack-client eval_tasks register​

+

Register a new eval task

+
llama-stack-client eval_tasks register --eval-task-id <eval-task-id> --dataset-id <dataset-id> --scoring-functions <scoring-functions> [--provider-id <provider-id>] [--provider-eval-task-id <provider-eval-task-id>] [--metadata <metadata>]
+

Required arguments:

+
    +
  • --eval-task-id: ID of the eval task
    • +
  • --dataset-id: ID of the dataset to evaluate
    • +
  • --scoring-functions: Scoring functions to use for evaluation
    • +
+

Optional arguments:

+
    +
  • --provider-id: Provider ID for the eval task
    • +
  • --provider-eval-task-id: Provider's eval task ID
    • +
+

Tool Group Management​

+

Manage available tool groups.

+

llama-stack-client toolgroups list​

+

Show available llama toolgroups at distribution endpoint

+
llama-stack-client toolgroups list
+
+---------------------------+------------------+------+---------------+
| identifier                | provider_id      | args | mcp_endpoint  |
+===========================+==================+======+===============+
| builtin::rag              | rag-runtime      | None | None          |
+---------------------------+------------------+------+---------------+
| builtin::websearch        | tavily-search    | None | None          |
+---------------------------+------------------+------+---------------+
+

llama-stack-client toolgroups get​

+

Get available llama toolgroups by id

+
llama-stack-client toolgroups get <toolgroup_id>
+

Shows detailed information about a specific toolgroup. If the toolgroup is not found, displays an error message.

+

Required arguments:

+
    +
  • TOOLGROUP_ID: ID of the tool group
    • +
+

llama-stack-client toolgroups register​

+

Register a new toolgroup at distribution endpoint

+
llama-stack-client toolgroups register <toolgroup_id> [--provider-id <provider-id>] [--provider-toolgroup-id <provider-toolgroup-id>] [--mcp-config <mcp-config>] [--args <args>]
+

Required arguments:

+
    +
  • TOOLGROUP_ID: ID of the tool group
    • +
+

Optional arguments:

+
    +
  • --provider-id: Provider ID for the toolgroup
    • +
  • --provider-toolgroup-id: Provider's toolgroup ID
    • +
  • --mcp-config: JSON configuration for the MCP endpoint
    • +
  • --args: JSON arguments for the toolgroup
    • +
+

llama-stack-client toolgroups unregister​

+

Unregister a toolgroup from distribution endpoint

+
llama-stack-client toolgroups unregister <toolgroup_id>
+

Required arguments:

+
    +
  • TOOLGROUP_ID: ID of the tool group
    • +
+

Datasets Management​

+

Manage datasets.

+

llama-stack-client datasets list​

+

Show available datasets on distribution endpoint

+
llama-stack-client datasets list
+

llama-stack-client datasets register​

+
llama-stack-client datasets register --dataset_id <dataset_id> --purpose <purpose> [--url <url] [--dataset-path <dataset-path>] [--dataset-id <dataset-id>] [--metadata <metadata>]
+

Required arguments:

+
    +
  • --dataset_id: Id of the dataset
    • +
  • --purpose: Purpose of the dataset
    • +
+

Optional arguments:

+
    +
  • --metadata: Metadata of the dataset
    • +
  • --url: URL of the dataset
    • +
  • --dataset-path: Local file path to the dataset. If specified, upload dataset via URL
    • +
+

llama-stack-client datasets unregister​

+

Remove a dataset

+
llama-stack-client datasets unregister <dataset-id>
+

Required arguments:

+
    +
  • DATASET_ID: Id of the dataset
    • +
+

Scoring Functions Management​

+

Manage scoring functions.

+

llama-stack-client scoring_functions list​

+

Show available scoring functions on distribution endpoint

+
llama-stack-client scoring_functions list
+
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓
┃ identifier                                 ┃ provider_id  ┃ description                                                   ┃ type             ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩
│ basic::docvqa                              │ basic        │ DocVQA Visual Question & Answer scoring function              │ scoring_function │
│ basic::equality                            │ basic        │ Returns 1.0 if the input is equal to the target, 0.0          │ scoring_function │
│                                            │              │ otherwise.                                                    │                  │
└────────────────────────────────────────────┴──────────────┴───────────────────────────────────────────────────────────────┴──────────────────┘
+

llama-stack-client scoring_functions register​

+

Register a new scoring function

+
llama-stack-client scoring_functions register --scoring-fn-id <scoring-fn-id> --description <description> --return-type <return-type> [--provider-id <provider-id>] [--provider-scoring-fn-id <provider-scoring-fn-id>] [--params <params>]
+

Required arguments:

+
    +
  • --scoring-fn-id: Id of the scoring function
    • +
  • --description: Description of the scoring function
    • +
  • --return-type: Return type of the scoring function
    • +
+

Optional arguments:

+
    +
  • --provider-id: Provider ID for the scoring function
    • +
  • --provider-scoring-fn-id: Provider's scoring function ID
    • +
  • --params: Parameters for the scoring function in JSON format
    • +
+

Post Training Management​

+

Post-training.

+

llama-stack-client post_training list​

+

Show the list of available post training jobs

+
llama-stack-client post_training list
+
["job-1", "job-2", "job-3"]
+

llama-stack-client post_training artifacts​

+

Get the training artifacts of a specific post training job

+
llama-stack-client post_training artifacts --job-uuid <job-uuid>
+
JobArtifactsResponse(checkpoints=[], job_uuid='job-1')
+

Required arguments:

+
    +
  • --job-uuid: Job UUID
    • +
+

llama-stack-client post_training supervised_fine_tune​

+

Kick off a supervised fine tune job

+
llama-stack-client post_training supervised_fine_tune --job-uuid <job-uuid> --model <model> --algorithm-config <algorithm-config> --training-config <training-config> [--checkpoint-dir <checkpoint-dir>]
+

Required arguments:

+
    +
  • --job-uuid: Job UUID
    • +
  • --model: Model ID
    • +
  • --algorithm-config: Algorithm Config
    • +
  • --training-config: Training Config
    • +
+

Optional arguments:

+
    +
  • --checkpoint-dir: Checkpoint Config
    • +
+

llama-stack-client post_training status​

+

Show the status of a specific post training job

+
llama-stack-client post_training status --job-uuid <job-uuid>
+
JobStatusResponse(
    checkpoints=[],
    job_uuid='job-1',
    status='completed',
    completed_at="",
    resources_allocated="",
    scheduled_at="",
    started_at=""
)
+

Required arguments:

+
    +
  • --job-uuid: Job UUID
    • +
+

llama-stack-client post_training cancel​

+

Cancel the training job

+
llama-stack-client post_training cancel --job-uuid <job-uuid>
+
# This functionality is not yet implemented for llama-stack-client
╭────────────────────────────────────────────────────────────╮
│ Failed to post_training cancel_training_job                │
│                                                            │
│ Error Type: InternalServerError                            │
│ Details: Error code: 501 - {'detail': 'Not implemented: '} │
╰────────────────────────────────────────────────────────────╯
+

Required arguments:

+
    +
  • --job-uuid: Job UUID
    • +
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/references/python_sdk_reference.html b/docs/v0.3.0/docs/references/python_sdk_reference.html new file mode 100644 index 00000000..a8611f43 --- /dev/null +++ b/docs/v0.3.0/docs/references/python_sdk_reference.html @@ -0,0 +1,398 @@ + + + + + +Python SDK Reference | Llama Stack + + + + + + + + + + + +

Python SDK Reference

+

Shared Types​

+
from llama_stack_client.types import (
    AgentConfig,
    BatchCompletion,
    CompletionMessage,
    ContentDelta,
    Document,
    InterleavedContent,
    InterleavedContentItem,
    Message,
    ParamType,
    QueryConfig,
    QueryResult,
    ReturnType,
    SafetyViolation,
    SamplingParams,
    ScoringResult,
    SystemMessage,
    ToolCall,
    ToolParamDefinition,
    ToolResponseMessage,
    URL,
    UserMessage,
)
+

Toolgroups​

+

Types:

+
from llama_stack_client.types import (
    ListToolGroupsResponse,
    ToolGroup,
    ToolgroupListResponse,
)
+

Methods:

+ +

Tools​

+

Types:

+
from llama_stack_client.types import ListToolsResponse, Tool, ToolListResponse
+

Methods:

+ +

ToolRuntime​

+

Types:

+
from llama_stack_client.types import ToolDef, ToolInvocationResult
+

Methods:

+ +

RagTool​

+

Methods:

+ +

Agents​

+

Types:

+
from llama_stack_client.types import (
    InferenceStep,
    MemoryRetrievalStep,
    ShieldCallStep,
    ToolExecutionStep,
    ToolResponse,
    AgentCreateResponse,
)
+

Methods:

+ +

Session​

+

Types:

+
from llama_stack_client.types.agents import Session, SessionCreateResponse
+

Methods:

+ +

Steps​

+

Types:

+
from llama_stack_client.types.agents import StepRetrieveResponse
+

Methods:

+ +

Turn​

+

Types:

+
from llama_stack_client.types.agents import Turn, TurnCreateResponse
+

Methods:

+ +

Datasets​

+

Types:

+
from llama_stack_client.types import (
    ListDatasetsResponse,
    DatasetRetrieveResponse,
    DatasetListResponse,
)
+

Methods:

+ +

Eval​

+

Types:

+
from llama_stack_client.types import EvaluateResponse, Job
+

Methods:

+ +

Jobs​

+

Types:

+
from llama_stack_client.types.eval import JobStatusResponse
+

Methods:

+
    +
  • +client.eval.jobs.retrieve(job_id, *, benchmark_id) -> EvaluateResponse +
    • +
  • +client.eval.jobs.cancel(job_id, *, benchmark_id) -> None +
    • +
  • +client.eval.jobs.status(job_id, *, benchmark_id) -> Optional[JobStatusResponse] +
    • +
+

Inspect​

+

Types:

+
from llama_stack_client.types import HealthInfo, ProviderInfo, RouteInfo, VersionInfo
+

Methods:

+ +

Inference​

+

Types:

+
from llama_stack_client.types import (
    CompletionResponse,
    EmbeddingsResponse,
    TokenLogProbs,
    InferenceChatCompletionResponse,
    InferenceCompletionResponse,
)
+

Methods:

+ +

VectorIo​

+

Types:

+
from llama_stack_client.types import QueryChunksResponse
+

Methods:

+ +

VectorDBs​

+

Types:

+
from llama_stack_client.types import (
    ListVectorDBsResponse,
    VectorDBRetrieveResponse,
    VectorDBListResponse,
    VectorDBRegisterResponse,
)
+

Methods:

+ +

Models​

+

Types:

+
from llama_stack_client.types import ListModelsResponse, Model, ModelListResponse
+

Methods:

+ +

PostTraining​

+

Types:

+
from llama_stack_client.types import ListPostTrainingJobsResponse, PostTrainingJob
+

Methods:

+ +

Job​

+

Types:

+
from llama_stack_client.types.post_training import (
    JobListResponse,
    JobArtifactsResponse,
    JobStatusResponse,
)
+

Methods:

+ +

Providers​

+

Types:

+
from llama_stack_client.types import ListProvidersResponse, ProviderListResponse
+

Methods:

+ +

Routes​

+

Types:

+
from llama_stack_client.types import ListRoutesResponse, RouteListResponse
+

Methods:

+ +

Safety​

+

Types:

+
from llama_stack_client.types import RunShieldResponse
+

Methods:

+ +

Shields​

+

Types:

+
from llama_stack_client.types import ListShieldsResponse, Shield, ShieldListResponse
+

Methods:

+ +

SyntheticDataGeneration​

+

Types:

+
from llama_stack_client.types import SyntheticDataGenerationResponse
+

Methods:

+ +

Telemetry​

+

Types:

+
from llama_stack_client.types import (
    QuerySpansResponse,
    SpanWithStatus,
    Trace,
    TelemetryGetSpanResponse,
    TelemetryGetSpanTreeResponse,
    TelemetryQuerySpansResponse,
    TelemetryQueryTracesResponse,
)
+

Methods:

+ +

Datasetio​

+

Types:

+
from llama_stack_client.types import PaginatedRowsResult
+

Methods:

+ +

Scoring​

+

Types:

+
from llama_stack_client.types import ScoringScoreResponse, ScoringScoreBatchResponse
+

Methods:

+ +

ScoringFunctions​

+

Types:

+
from llama_stack_client.types import (
    ListScoringFunctionsResponse,
    ScoringFn,
    ScoringFunctionListResponse,
)
+

Methods:

+ +

Benchmarks​

+

Types:

+
from llama_stack_client.types import (
    Benchmark,
    ListBenchmarksResponse,
    BenchmarkListResponse,
)
+

Methods:

+
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/tags.html b/docs/v0.3.0/docs/tags.html new file mode 100644 index 00000000..8b0de534 --- /dev/null +++ b/docs/v0.3.0/docs/tags.html @@ -0,0 +1,20 @@ + + + + + +Tags | Llama Stack + + + + + + + + + + + +

Tags

+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/tags/getting-started.html b/docs/v0.3.0/docs/tags/getting-started.html new file mode 100644 index 00000000..0a8f3030 --- /dev/null +++ b/docs/v0.3.0/docs/tags/getting-started.html @@ -0,0 +1,20 @@ + + + + + +One doc tagged with "getting-started" | Llama Stack + + + + + + + + + + + +

One doc tagged with "getting-started"

View all tags
+ + \ No newline at end of file diff --git a/docs/v0.3.0/docs/tags/overview.html b/docs/v0.3.0/docs/tags/overview.html new file mode 100644 index 00000000..6bd83737 --- /dev/null +++ b/docs/v0.3.0/docs/tags/overview.html @@ -0,0 +1,20 @@ + + + + + +One doc tagged with "overview" | Llama Stack + + + + + + + + + + + +

One doc tagged with "overview"

View all tags
+ + \ No newline at end of file diff --git a/docs/v0.3.0/experimental-llama-stack-spec.html b/docs/v0.3.0/experimental-llama-stack-spec.html new file mode 100644 index 00000000..ab474180 --- /dev/null +++ b/docs/v0.3.0/experimental-llama-stack-spec.html @@ -0,0 +1,5553 @@ + + + + + + + OpenAPI specification + + + + + + + + + + + + + diff --git a/docs/v0.3.0/experimental-llama-stack-spec.yaml b/docs/v0.3.0/experimental-llama-stack-spec.yaml new file mode 100644 index 00000000..dd9e43cc --- /dev/null +++ b/docs/v0.3.0/experimental-llama-stack-spec.yaml @@ -0,0 +1,4135 @@ +openapi: 3.1.0 +info: + title: >- + Llama Stack Specification - Experimental APIs + version: v1 + description: >- + This is the specification of the Llama Stack that provides + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. + + **🧪 EXPERIMENTAL**: Pre-release APIs (v1alpha, v1beta) that may change before + becoming stable. +servers: + - url: http://any-hosted-llama-stack.com +paths: + /v1beta/datasetio/append-rows/{dataset_id}: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: Append rows to a dataset. + description: Append rows to a dataset. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to append the rows to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/AppendRowsRequest' + required: true + deprecated: false + /v1beta/datasetio/iterrows/{dataset_id}: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: >- + Get a paginated list of rows from a dataset. + description: >- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + + - start_index: The starting index (0-based). If None, starts from beginning. + + - limit: Number of items to return. If None or -1, returns all items. + + + The response includes: + + - data: List of items for the current page. + + - has_more: Whether there are more items available after this set. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to get the rows from. + required: true + schema: + type: string + - name: start_index + in: query + description: >- + Index into dataset for the first row to get. Get all rows if None. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of rows to get. + required: false + schema: + type: integer + deprecated: false + /v1beta/datasets: + get: + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: List all datasets. + description: List all datasets. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Register a new dataset. + description: Register a new dataset. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterDatasetRequest' + required: true + deprecated: false + /v1beta/datasets/{dataset_id}: + get: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Get a dataset by its ID. + description: Get a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Unregister a dataset by its ID. + description: Unregister a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to unregister. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all agents. + description: List all agents. + parameters: + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of agents to return. + required: false + schema: + type: integer + deprecated: false + post: + responses: + '200': + description: >- + An AgentCreateResponse with the agent ID. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Create an agent with the given configuration. + description: >- + Create an agent with the given configuration. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}: + get: + responses: + '200': + description: An Agent of the agent. + content: + application/json: + schema: + $ref: '#/components/schemas/Agent' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Describe an agent by its ID. + description: Describe an agent by its ID. + parameters: + - name: agent_id + in: path + description: ID of the agent. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent by its ID and its associated sessions and turns. + description: >- + Delete an agent by its ID and its associated sessions and turns. + parameters: + - name: agent_id + in: path + description: The ID of the agent to delete. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session: + post: + responses: + '200': + description: An AgentSessionCreateResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentSessionCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new session for an agent. + description: Create a new session for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the session for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentSessionRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}: + get: + responses: + '200': + description: A Session. + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent session by its ID. + description: Retrieve an agent session by its ID. + parameters: + - name: session_id + in: path + description: The ID of the session to get. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to get the session for. + required: true + schema: + type: string + - name: turn_ids + in: query + description: >- + (Optional) List of turn IDs to filter the session by. + required: false + schema: + type: array + items: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent session by its ID and its associated turns. + description: >- + Delete an agent session by its ID and its associated turns. + parameters: + - name: session_id + in: path + description: The ID of the session to delete. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to delete the session for. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn: + post: + responses: + '200': + description: >- + If stream=False, returns a Turn object. If stream=True, returns an SSE + event stream of AgentTurnResponseStreamChunk. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new turn for an agent. + description: Create a new turn for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to create the turn for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentTurnRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}: + get: + responses: + '200': + description: A Turn. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent turn by its ID. + description: Retrieve an agent turn by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the turn for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}/resume: + post: + responses: + '200': + description: >- + A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk + objects. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Resume an agent turn with executed tool call responses. + description: >- + Resume an agent turn with executed tool call responses. + + When a Turn has the status `awaiting_input` due to pending input from client + side tool calls, this endpoint can be used to submit the outputs from the + tool calls once they are ready. + parameters: + - name: agent_id + in: path + description: The ID of the agent to resume. + required: true + schema: + type: string + - name: session_id + in: path + description: The ID of the session to resume. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to resume. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ResumeAgentTurnRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}: + get: + responses: + '200': + description: An AgentStepResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentStepResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent step by its ID. + description: Retrieve an agent step by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the step for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the step for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get the step for. + required: true + schema: + type: string + - name: step_id + in: path + description: The ID of the step to get. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/sessions: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all session(s) of a given agent. + description: List all session(s) of a given agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to list sessions for. + required: true + schema: + type: string + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of sessions to return. + required: false + schema: + type: integer + deprecated: false + /v1alpha/eval/benchmarks: + get: + responses: + '200': + description: A ListBenchmarksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListBenchmarksResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: List all benchmarks. + description: List all benchmarks. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Register a benchmark. + description: Register a benchmark. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterBenchmarkRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}: + get: + responses: + '200': + description: A Benchmark. + content: + application/json: + schema: + $ref: '#/components/schemas/Benchmark' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Get a benchmark by its ID. + description: Get a benchmark by its ID. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Unregister a benchmark. + description: Unregister a benchmark. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to unregister. + required: true + schema: + type: string + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: + post: + responses: + '200': + description: >- + EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Evaluate a list of rows on a benchmark. + description: Evaluate a list of rows on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateRowsRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs: + post: + responses: + '200': + description: >- + The job that was created to run the evaluation. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Run an evaluation on a benchmark. + description: Run an evaluation on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunEvalRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}: + get: + responses: + '200': + description: The status of the evaluation job. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the status of a job. + description: Get the status of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the status of. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Cancel a job. + description: Cancel a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to cancel. + required: true + schema: + type: string + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: + get: + responses: + '200': + description: The result of the job. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the result of a job. + description: Get the result of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the result of. + required: true + schema: + type: string + deprecated: false + /v1alpha/inference/rerank: + post: + responses: + '200': + description: >- + RerankResponse with indices sorted by relevance score (descending). + content: + application/json: + schema: + $ref: '#/components/schemas/RerankResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: >- + Rerank a list of documents based on their relevance to a query. + description: >- + Rerank a list of documents based on their relevance to a query. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RerankRequest' + required: true + deprecated: false + /v1alpha/post-training/job/artifacts: + get: + responses: + '200': + description: A PostTrainingJobArtifactsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the artifacts of a training job. + description: Get the artifacts of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the artifacts of. + required: true + schema: + type: string + deprecated: false + /v1alpha/post-training/job/cancel: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Cancel a training job. + description: Cancel a training job. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CancelTrainingJobRequest' + required: true + deprecated: false + /v1alpha/post-training/job/status: + get: + responses: + '200': + description: A PostTrainingJobStatusResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobStatusResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the status of a training job. + description: Get the status of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the status of. + required: true + schema: + type: string + deprecated: false + /v1alpha/post-training/jobs: + get: + responses: + '200': + description: A ListPostTrainingJobsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPostTrainingJobsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get all training jobs. + description: Get all training jobs. + parameters: [] + deprecated: false + /v1alpha/post-training/preference-optimize: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run preference optimization of a model. + description: Run preference optimization of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/PreferenceOptimizeRequest' + required: true + deprecated: false + /v1alpha/post-training/supervised-fine-tune: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run supervised fine-tuning of a model. + description: Run supervised fine-tuning of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SupervisedFineTuneRequest' + required: true + deprecated: false +jsonSchemaDialect: >- + https://json-schema.org/draft/2020-12/schema +components: + schemas: + Error: + type: object + properties: + status: + type: integer + description: HTTP status code + title: + type: string + description: >- + Error title, a short summary of the error which is invariant for an error + type + detail: + type: string + description: >- + Error detail, a longer human-readable description of the error + instance: + type: string + description: >- + (Optional) A URL which can be used to retrieve more information about + the specific occurrence of the error + additionalProperties: false + required: + - status + - title + - detail + title: Error + description: >- + Error response from the API. Roughly follows RFC 7807. + AppendRowsRequest: + type: object + properties: + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to append to the dataset. + additionalProperties: false + required: + - rows + title: AppendRowsRequest + PaginatedResponse: + type: object + properties: + data: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The list of items for the current page + has_more: + type: boolean + description: >- + Whether there are more items available after this set + url: + type: string + description: The URL for accessing this list + additionalProperties: false + required: + - data + - has_more + title: PaginatedResponse + description: >- + A generic paginated response that follows a simple format. + Dataset: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: dataset + default: dataset + description: >- + Type of resource, always 'dataset' for datasets + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + Purpose of the dataset indicating its intended use + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + description: >- + Data source configuration for the dataset + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Additional metadata for the dataset + additionalProperties: false + required: + - identifier + - provider_id + - type + - purpose + - source + - metadata + title: Dataset + description: >- + Dataset resource for storing and accessing training or evaluation data. + RowsDataSource: + type: object + properties: + type: + type: string + const: rows + default: rows + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user", + "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, + world!"}]} ] + additionalProperties: false + required: + - type + - rows + title: RowsDataSource + description: A dataset stored in rows. + URIDataSource: + type: object + properties: + type: + type: string + const: uri + default: uri + uri: + type: string + description: >- + The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl" + - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}" + additionalProperties: false + required: + - type + - uri + title: URIDataSource + description: >- + A dataset that can be obtained from a URI. + ListDatasetsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Dataset' + description: List of datasets + additionalProperties: false + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + DataSource: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + RegisterDatasetRequest: + type: object + properties: + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + The purpose of the dataset. One of: - "post-training/messages": The dataset + contains a messages column with list of messages for post-training. { + "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant", + "content": "Hello, world!"}, ] } - "eval/question-answer": The dataset + contains a question column and an answer column for evaluation. { "question": + "What is the capital of France?", "answer": "Paris" } - "eval/messages-answer": + The dataset contains a messages column with list of messages and an answer + column for evaluation. { "messages": [ {"role": "user", "content": "Hello, + my name is John Doe."}, {"role": "assistant", "content": "Hello, John + Doe. How can I help you today?"}, {"role": "user", "content": "What's + my name?"}, ], "answer": "John Doe" } + source: + $ref: '#/components/schemas/DataSource' + description: >- + The data source of the dataset. Ensure that the data source schema is + compatible with the purpose of the dataset. Examples: - { "type": "uri", + "uri": "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": + "lsfs://mydata.jsonl" } - { "type": "uri", "uri": "data:csv;base64,{base64_content}" + } - { "type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train" + } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content": + "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] + } ] } + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The metadata for the dataset. - E.g. {"description": "My dataset"}. + dataset_id: + type: string + description: >- + The ID of the dataset. If not provided, an ID will be generated. + additionalProperties: false + required: + - purpose + - source + title: RegisterDatasetRequest + AgentConfig: + type: object + properties: + sampling_params: + $ref: '#/components/schemas/SamplingParams' + input_shields: + type: array + items: + type: string + output_shields: + type: array + items: + type: string + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + client_tools: + type: array + items: + $ref: '#/components/schemas/ToolDef' + tool_choice: + type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following capabilities + of the model. + deprecated: true + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + description: >- + Prompt format for calling custom / zero shot tools. + deprecated: true + tool_config: + $ref: '#/components/schemas/ToolConfig' + max_infer_iters: + type: integer + default: 10 + model: + type: string + description: >- + The model identifier to use for the agent + instructions: + type: string + description: The system instructions for the agent + name: + type: string + description: >- + Optional name for the agent, used in telemetry and identification + enable_session_persistence: + type: boolean + default: false + description: >- + Optional flag indicating whether session data has to be persisted + response_format: + $ref: '#/components/schemas/ResponseFormat' + description: Optional response format configuration + additionalProperties: false + required: + - model + - instructions + title: AgentConfig + description: Configuration for an agent. + AgentTool: + oneOf: + - type: string + - type: object + properties: + name: + type: string + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - name + - args + title: AgentToolGroupWithArgs + GrammarResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "grammar" to identify this format type + const: grammar + default: grammar + bnf: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The BNF grammar specification the response should conform to + additionalProperties: false + required: + - type + - bnf + title: GrammarResponseFormat + description: >- + Configuration for grammar-guided response generation. + GreedySamplingStrategy: + type: object + properties: + type: + type: string + const: greedy + default: greedy + description: >- + Must be "greedy" to identify this sampling strategy + additionalProperties: false + required: + - type + title: GreedySamplingStrategy + description: >- + Greedy sampling strategy that selects the highest probability token at each + step. + JsonSchemaResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "json_schema" to identify this format type + const: json_schema + default: json_schema + json_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. + additionalProperties: false + required: + - type + - json_schema + title: JsonSchemaResponseFormat + description: >- + Configuration for JSON schema-guided response generation. + ResponseFormat: + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + discriminator: + propertyName: type + mapping: + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + grammar: '#/components/schemas/GrammarResponseFormat' + SamplingParams: + type: object + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + description: The sampling strategy. + max_tokens: + type: integer + default: 0 + description: >- + The maximum number of tokens that can be generated in the completion. + The token count of your prompt plus max_tokens cannot exceed the model's + context length. + repetition_penalty: + type: number + default: 1.0 + description: >- + Number between -2.0 and 2.0. Positive values penalize new tokens based + on whether they appear in the text so far, increasing the model's likelihood + to talk about new topics. + stop: + type: array + items: + type: string + description: >- + Up to 4 sequences where the API will stop generating further tokens. The + returned text will not contain the stop sequence. + additionalProperties: false + required: + - strategy + title: SamplingParams + description: Sampling parameters. + ToolConfig: + type: object + properties: + tool_choice: + oneOf: + - type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following + capabilities of the model. + - type: string + default: auto + description: >- + (Optional) Whether tool use is automatic, required, or none. Can also + specify a tool name to use a specific tool. Defaults to ToolChoice.auto. + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + description: >- + (Optional) Instructs the model how to format tool calls. By default, Llama + Stack will attempt to use a format that is best adapted to the model. + - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. + - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a + tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python + syntax -- a list of function calls. + system_message_behavior: + type: string + enum: + - append + - replace + description: >- + (Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: + Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: + Replaces the default system prompt with the provided system message. The + system message can include the string '{{function_definitions}}' to indicate + where the function definitions should be inserted. + default: append + additionalProperties: false + title: ToolConfig + description: Configuration for tool use. + ToolDef: + type: object + properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Human-readable description of what the tool does + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool + additionalProperties: false + required: + - name + title: ToolDef + description: >- + Tool definition used in runtime contexts. + TopKSamplingStrategy: + type: object + properties: + type: + type: string + const: top_k + default: top_k + description: >- + Must be "top_k" to identify this sampling strategy + top_k: + type: integer + description: >- + Number of top tokens to consider for sampling. Must be at least 1 + additionalProperties: false + required: + - type + - top_k + title: TopKSamplingStrategy + description: >- + Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + type: object + properties: + type: + type: string + const: top_p + default: top_p + description: >- + Must be "top_p" to identify this sampling strategy + temperature: + type: number + description: >- + Controls randomness in sampling. Higher values increase randomness + top_p: + type: number + default: 0.95 + description: >- + Cumulative probability threshold for nucleus sampling. Defaults to 0.95 + additionalProperties: false + required: + - type + title: TopPSamplingStrategy + description: >- + Top-p (nucleus) sampling strategy that samples from the smallest set of tokens + with cumulative probability >= p. + CreateAgentRequest: + type: object + properties: + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: The configuration for the agent. + additionalProperties: false + required: + - agent_config + title: CreateAgentRequest + AgentCreateResponse: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the created agent + additionalProperties: false + required: + - agent_id + title: AgentCreateResponse + description: >- + Response returned when creating a new agent. + Agent: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the agent + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: Configuration settings for the agent + created_at: + type: string + format: date-time + description: Timestamp when the agent was created + additionalProperties: false + required: + - agent_id + - agent_config + - created_at + title: Agent + description: >- + An agent instance with configuration and metadata. + CreateAgentSessionRequest: + type: object + properties: + session_name: + type: string + description: The name of the session to create. + additionalProperties: false + required: + - session_name + title: CreateAgentSessionRequest + AgentSessionCreateResponse: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the created session + additionalProperties: false + required: + - session_id + title: AgentSessionCreateResponse + description: >- + Response returned when creating a new agent session. + CompletionMessage: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + $ref: '#/components/schemas/InterleavedContent' + description: The content of the model's response + stop_reason: + type: string + enum: + - end_of_turn + - end_of_message + - out_of_tokens + description: >- + Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: + The model finished generating the entire response. - `StopReason.end_of_message`: + The model finished generating but generated a partial response -- usually, + a tool call. The user may call the tool and continue the conversation + with the tool's response. - `StopReason.out_of_tokens`: The model ran + out of token budget. + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: >- + List of tool calls. Each tool call is a ToolCall object. + additionalProperties: false + required: + - role + - content + - stop_reason + title: CompletionMessage + description: >- + A message containing the model's (assistant) response in a chat conversation. + ImageContentItem: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the content item. Always "image" + image: + type: object + properties: + url: + $ref: '#/components/schemas/URL' + description: >- + A URL of the image or data URL in the format of data:image/{type};base64,{data}. + Note that URL could have length limits. + data: + type: string + contentEncoding: base64 + description: base64 encoded image data as string + additionalProperties: false + description: >- + Image as a base64 encoded string or an URL + additionalProperties: false + required: + - type + - image + title: ImageContentItem + description: A image content item + InferenceStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: inference + default: inference + model_response: + $ref: '#/components/schemas/CompletionMessage' + description: The response from the LLM. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - model_response + title: InferenceStep + description: An inference step in an agent turn. + InterleavedContent: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + InterleavedContentItem: + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + MemoryRetrievalStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: memory_retrieval + default: memory_retrieval + vector_db_ids: + type: string + description: >- + The IDs of the vector databases to retrieve context from. + inserted_context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The context retrieved from the vector databases. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - vector_db_ids + - inserted_context + title: MemoryRetrievalStep + description: >- + A memory retrieval step in an agent turn. + SafetyViolation: + type: object + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + description: Severity level of the violation + user_message: + type: string + description: >- + (Optional) Message to convey to the user about the violation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata including specific violation codes for debugging and + telemetry + additionalProperties: false + required: + - violation_level + - metadata + title: SafetyViolation + description: >- + Details of a safety violation detected by content moderation. + Session: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the conversation session + session_name: + type: string + description: Human-readable name for the session + turns: + type: array + items: + $ref: '#/components/schemas/Turn' + description: >- + List of all turns that have occurred in this session + started_at: + type: string + format: date-time + description: Timestamp when the session was created + additionalProperties: false + required: + - session_id + - session_name + - turns + - started_at + title: Session + description: >- + A single session of an interaction with an Agentic System. + ShieldCallStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: shield_call + default: shield_call + violation: + $ref: '#/components/schemas/SafetyViolation' + description: The violation from the shield call. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + title: ShieldCallStep + description: A shield call step in an agent turn. + TextContentItem: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the content item. Always "text" + text: + type: string + description: Text content + additionalProperties: false + required: + - type + - text + title: TextContentItem + description: A text content item + ToolCall: + type: object + properties: + call_id: + type: string + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + arguments: + type: string + additionalProperties: false + required: + - call_id + - tool_name + - arguments + title: ToolCall + ToolExecutionStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: tool_execution + default: tool_execution + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: The tool calls to execute. + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: The tool responses from the tool calls. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - tool_calls + - tool_responses + title: ToolExecutionStep + description: A tool execution step in an agent turn. + ToolResponse: + type: object + properties: + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + description: Name of the tool that was invoked + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool response + additionalProperties: false + required: + - call_id + - tool_name + - content + title: ToolResponse + description: Response from a tool invocation. + ToolResponseMessage: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + additionalProperties: false + required: + - role + - call_id + - content + title: ToolResponseMessage + description: >- + A message representing the result of a tool invocation. + Turn: + type: object + properties: + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + session_id: + type: string + description: >- + Unique identifier for the conversation session + input_messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: >- + List of messages that initiated this turn + steps: + type: array + items: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + Ordered list of processing steps executed during this turn + output_message: + $ref: '#/components/schemas/CompletionMessage' + description: >- + The model's generated response containing content and metadata + output_attachments: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the attachment. + mime_type: + type: string + description: The MIME type of the attachment. + additionalProperties: false + required: + - content + - mime_type + title: Attachment + description: An attachment to an agent turn. + description: >- + (Optional) Files or media attached to the agent's response + started_at: + type: string + format: date-time + description: Timestamp when the turn began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the turn finished, if completed + additionalProperties: false + required: + - turn_id + - session_id + - input_messages + - steps + - output_message + - started_at + title: Turn + description: >- + A single turn in an interaction with an Agentic System. + URL: + type: object + properties: + uri: + type: string + description: The URL string pointing to the resource + additionalProperties: false + required: + - uri + title: URL + description: A URL reference to external content. + UserMessage: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the message, which can include text and other media + context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) This field is used internally by Llama Stack to pass RAG context. + This field may be removed in the API in the future. + additionalProperties: false + required: + - role + - content + title: UserMessage + description: >- + A message from the user in a chat conversation. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + CreateAgentTurnRequest: + type: object + properties: + messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: List of messages to start the turn with. + stream: + type: boolean + description: >- + (Optional) If True, generate an SSE event stream of the response. Defaults + to False. + documents: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the document. + mime_type: + type: string + description: The MIME type of the document. + additionalProperties: false + required: + - content + - mime_type + title: Document + description: A document to be used by an agent. + description: >- + (Optional) List of documents to create the turn with. + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + description: >- + (Optional) List of toolgroups to create the turn with, will be used in + addition to the agent's config toolgroups for the request. + tool_config: + $ref: '#/components/schemas/ToolConfig' + description: >- + (Optional) The tool configuration to create the turn with, will be used + to override the agent's tool_config. + additionalProperties: false + required: + - messages + title: CreateAgentTurnRequest + AgentTurnResponseEvent: + type: object + properties: + payload: + oneOf: + - $ref: '#/components/schemas/AgentTurnResponseStepStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepProgressPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + discriminator: + propertyName: event_type + mapping: + step_start: '#/components/schemas/AgentTurnResponseStepStartPayload' + step_progress: '#/components/schemas/AgentTurnResponseStepProgressPayload' + step_complete: '#/components/schemas/AgentTurnResponseStepCompletePayload' + turn_start: '#/components/schemas/AgentTurnResponseTurnStartPayload' + turn_complete: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + turn_awaiting_input: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + description: >- + Event-specific payload containing event data + additionalProperties: false + required: + - payload + title: AgentTurnResponseEvent + description: >- + An event in an agent turn response stream. + AgentTurnResponseStepCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_complete + default: step_complete + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + step_details: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: Complete details of the executed step + additionalProperties: false + required: + - event_type + - step_type + - step_id + - step_details + title: AgentTurnResponseStepCompletePayload + description: >- + Payload for step completion events in agent turn responses. + AgentTurnResponseStepProgressPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_progress + default: step_progress + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + delta: + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/TextDelta' + image: '#/components/schemas/ImageDelta' + tool_call: '#/components/schemas/ToolCallDelta' + description: >- + Incremental content changes during step execution + additionalProperties: false + required: + - event_type + - step_type + - step_id + - delta + title: AgentTurnResponseStepProgressPayload + description: >- + Payload for step progress events in agent turn responses. + AgentTurnResponseStepStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_start + default: step_start + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata for the step + additionalProperties: false + required: + - event_type + - step_type + - step_id + title: AgentTurnResponseStepStartPayload + description: >- + Payload for step start events in agent turn responses. + AgentTurnResponseStreamChunk: + type: object + properties: + event: + $ref: '#/components/schemas/AgentTurnResponseEvent' + description: >- + Individual event in the agent turn response stream + additionalProperties: false + required: + - event + title: AgentTurnResponseStreamChunk + description: Streamed agent turn completion response. + "AgentTurnResponseTurnAwaitingInputPayload": + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_awaiting_input + default: turn_awaiting_input + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Turn data when waiting for external tool responses + additionalProperties: false + required: + - event_type + - turn + title: >- + AgentTurnResponseTurnAwaitingInputPayload + description: >- + Payload for turn awaiting input events in agent turn responses. + AgentTurnResponseTurnCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_complete + default: turn_complete + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Complete turn data including all steps and results + additionalProperties: false + required: + - event_type + - turn + title: AgentTurnResponseTurnCompletePayload + description: >- + Payload for turn completion events in agent turn responses. + AgentTurnResponseTurnStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_start + default: turn_start + description: Type of event being reported + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + additionalProperties: false + required: + - event_type + - turn_id + title: AgentTurnResponseTurnStartPayload + description: >- + Payload for turn start events in agent turn responses. + ImageDelta: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the delta. Always "image" + image: + type: string + contentEncoding: base64 + description: The incremental image data as bytes + additionalProperties: false + required: + - type + - image + title: ImageDelta + description: >- + An image content delta for streaming responses. + TextDelta: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the delta. Always "text" + text: + type: string + description: The incremental text content + additionalProperties: false + required: + - type + - text + title: TextDelta + description: >- + A text content delta for streaming responses. + ToolCallDelta: + type: object + properties: + type: + type: string + const: tool_call + default: tool_call + description: >- + Discriminator type of the delta. Always "tool_call" + tool_call: + oneOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + description: >- + Either an in-progress tool call string or the final parsed tool call + parse_status: + type: string + enum: + - started + - in_progress + - failed + - succeeded + description: Current parsing status of the tool call + additionalProperties: false + required: + - type + - tool_call + - parse_status + title: ToolCallDelta + description: >- + A tool call content delta for streaming responses. + ResumeAgentTurnRequest: + type: object + properties: + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: >- + The tool call responses to resume the turn with. + stream: + type: boolean + description: Whether to stream the response. + additionalProperties: false + required: + - tool_responses + title: ResumeAgentTurnRequest + AgentStepResponse: + type: object + properties: + step: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + The complete step data and execution details + additionalProperties: false + required: + - step + title: AgentStepResponse + description: >- + Response containing details of a specific agent step. + Benchmark: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: benchmark + default: benchmark + description: The resource type, always benchmark + dataset_id: + type: string + description: >- + Identifier of the dataset to use for the benchmark evaluation + scoring_functions: + type: array + items: + type: string + description: >- + List of scoring function identifiers to apply during evaluation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Metadata for this evaluation task + additionalProperties: false + required: + - identifier + - provider_id + - type + - dataset_id + - scoring_functions + - metadata + title: Benchmark + description: >- + A benchmark resource for evaluating model performance. + ListBenchmarksResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Benchmark' + additionalProperties: false + required: + - data + title: ListBenchmarksResponse + RegisterBenchmarkRequest: + type: object + properties: + benchmark_id: + type: string + description: The ID of the benchmark to register. + dataset_id: + type: string + description: >- + The ID of the dataset to use for the benchmark. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the benchmark. + provider_benchmark_id: + type: string + description: >- + The ID of the provider benchmark to use for the benchmark. + provider_id: + type: string + description: >- + The ID of the provider to use for the benchmark. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The metadata to use for the benchmark. + additionalProperties: false + required: + - benchmark_id + - dataset_id + - scoring_functions + title: RegisterBenchmarkRequest + AgentCandidate: + type: object + properties: + type: + type: string + const: agent + default: agent + config: + $ref: '#/components/schemas/AgentConfig' + description: >- + The configuration for the agent candidate. + additionalProperties: false + required: + - type + - config + title: AgentCandidate + description: An agent candidate for evaluation. + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: >- + Types of aggregation functions for scoring results. + BasicScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: basic + default: basic + description: >- + The type of scoring function parameters, always basic + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - aggregation_functions + title: BasicScoringFnParams + description: >- + Parameters for basic scoring function configuration. + BenchmarkConfig: + type: object + properties: + eval_candidate: + oneOf: + - $ref: '#/components/schemas/ModelCandidate' + - $ref: '#/components/schemas/AgentCandidate' + discriminator: + propertyName: type + mapping: + model: '#/components/schemas/ModelCandidate' + agent: '#/components/schemas/AgentCandidate' + description: The candidate to evaluate. + scoring_params: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringFnParams' + description: >- + Map between scoring function id and parameters for each scoring function + you want to run + num_examples: + type: integer + description: >- + (Optional) The number of examples to evaluate. If not provided, all examples + in the dataset will be evaluated + additionalProperties: false + required: + - eval_candidate + - scoring_params + title: BenchmarkConfig + description: >- + A benchmark configuration for evaluation. + LLMAsJudgeScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: llm_as_judge + default: llm_as_judge + description: >- + The type of scoring function parameters, always llm_as_judge + judge_model: + type: string + description: >- + Identifier of the LLM model to use as a judge for scoring + prompt_template: + type: string + description: >- + (Optional) Custom prompt template for the judge model + judge_score_regexes: + type: array + items: + type: string + description: >- + Regexes to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - judge_model + - judge_score_regexes + - aggregation_functions + title: LLMAsJudgeScoringFnParams + description: >- + Parameters for LLM-as-judge scoring function configuration. + ModelCandidate: + type: object + properties: + type: + type: string + const: model + default: model + model: + type: string + description: The model ID to evaluate. + sampling_params: + $ref: '#/components/schemas/SamplingParams' + description: The sampling parameters for the model. + system_message: + $ref: '#/components/schemas/SystemMessage' + description: >- + (Optional) The system message providing instructions or context to the + model. + additionalProperties: false + required: + - type + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + RegexParserScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: regex_parser + default: regex_parser + description: >- + The type of scoring function parameters, always regex_parser + parsing_regexes: + type: array + items: + type: string + description: >- + Regex to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - parsing_regexes + - aggregation_functions + title: RegexParserScoringFnParams + description: >- + Parameters for regex parser scoring function configuration. + ScoringFnParams: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + basic: '#/components/schemas/BasicScoringFnParams' + ScoringFnParamsType: + type: string + enum: + - llm_as_judge + - regex_parser + - basic + title: ScoringFnParamsType + description: >- + Types of scoring function parameter configurations. + SystemMessage: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + additionalProperties: false + required: + - role + - content + title: SystemMessage + description: >- + A system message providing instructions or context to the model. + EvaluateRowsRequest: + type: object + properties: + input_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to evaluate. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the evaluation. + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - input_rows + - scoring_functions + - benchmark_config + title: EvaluateRowsRequest + EvaluateResponse: + type: object + properties: + generations: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The generations from the evaluation. + scores: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: The scores from the evaluation. + additionalProperties: false + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ScoringResult: + type: object + properties: + score_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The scoring result for each row. Each row is a map of column name to value. + aggregated_results: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Map of metric name to aggregated value + additionalProperties: false + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + RunEvalRequest: + type: object + properties: + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - benchmark_config + title: RunEvalRequest + Job: + type: object + properties: + job_id: + type: string + description: Unique identifier for the job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current execution status of the job + additionalProperties: false + required: + - job_id + - status + title: Job + description: >- + A job execution instance with status tracking. + "OpenAIChatCompletionContentPartImageParam": + type: object + properties: + type: + type: string + const: image_url + default: image_url + description: >- + Must be "image_url" to identify this as image content + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + description: >- + Image URL specification and processing details + additionalProperties: false + required: + - type + - image_url + title: >- + OpenAIChatCompletionContentPartImageParam + description: >- + Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to identify this as text content + text: + type: string + description: The text content of the message + additionalProperties: false + required: + - type + - text + title: OpenAIChatCompletionContentPartTextParam + description: >- + Text content part for OpenAI-compatible chat completion messages. + OpenAIImageURL: + type: object + properties: + url: + type: string + description: >- + URL of the image to include in the message + detail: + type: string + description: >- + (Optional) Level of detail for image processing. Can be "low", "high", + or "auto" + additionalProperties: false + required: + - url + title: OpenAIImageURL + description: >- + Image URL specification for OpenAI-compatible chat completion messages. + RerankRequest: + type: object + properties: + model: + type: string + description: >- + The identifier of the reranking model to use. + query: + oneOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + description: >- + The search query to rank items against. Can be a string, text content + part, or image content part. The input must not exceed the model's max + input token length. + items: + type: array + items: + oneOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + description: >- + List of items to rerank. Each item can be a string, text content part, + or image content part. Each input must not exceed the model's max input + token length. + max_num_results: + type: integer + description: >- + (Optional) Maximum number of results to return. Default: returns all. + additionalProperties: false + required: + - model + - query + - items + title: RerankRequest + RerankData: + type: object + properties: + index: + type: integer + description: >- + The original index of the document in the input list + relevance_score: + type: number + description: >- + The relevance score from the model output. Values are inverted when applicable + so that higher scores indicate greater relevance. + additionalProperties: false + required: + - index + - relevance_score + title: RerankData + description: >- + A single rerank result from a reranking response. + RerankResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/RerankData' + description: >- + List of rerank result objects, sorted by relevance score (descending) + additionalProperties: false + required: + - data + title: RerankResponse + description: Response from a reranking request. + Checkpoint: + type: object + properties: + identifier: + type: string + description: Unique identifier for the checkpoint + created_at: + type: string + format: date-time + description: >- + Timestamp when the checkpoint was created + epoch: + type: integer + description: >- + Training epoch when the checkpoint was saved + post_training_job_id: + type: string + description: >- + Identifier of the training job that created this checkpoint + path: + type: string + description: >- + File system path where the checkpoint is stored + training_metrics: + $ref: '#/components/schemas/PostTrainingMetric' + description: >- + (Optional) Training metrics associated with this checkpoint + additionalProperties: false + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + description: Checkpoint created during training runs. + PostTrainingJobArtifactsResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - checkpoints + title: PostTrainingJobArtifactsResponse + description: Artifacts of a finetuning job. + PostTrainingMetric: + type: object + properties: + epoch: + type: integer + description: Training epoch number + train_loss: + type: number + description: Loss value on the training dataset + validation_loss: + type: number + description: Loss value on the validation dataset + perplexity: + type: number + description: >- + Perplexity metric indicating model confidence + additionalProperties: false + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + description: >- + Training metrics captured during post-training jobs. + CancelTrainingJobRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to cancel. + additionalProperties: false + required: + - job_uuid + title: CancelTrainingJobRequest + PostTrainingJobStatusResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current status of the training job + scheduled_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job was scheduled + started_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job execution began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job finished, if completed + resources_allocated: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Information about computational resources allocated to the + job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - status + - checkpoints + title: PostTrainingJobStatusResponse + description: Status of a finetuning job. + ListPostTrainingJobsResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + additionalProperties: false + required: + - data + title: ListPostTrainingJobsResponse + DPOAlignmentConfig: + type: object + properties: + beta: + type: number + description: Temperature parameter for the DPO loss + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + description: The type of loss function to use for DPO + additionalProperties: false + required: + - beta + - loss_type + title: DPOAlignmentConfig + description: >- + Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + type: object + properties: + dataset_id: + type: string + description: >- + Unique identifier for the training dataset + batch_size: + type: integer + description: Number of samples per training batch + shuffle: + type: boolean + description: >- + Whether to shuffle the dataset during training + data_format: + $ref: '#/components/schemas/DatasetFormat' + description: >- + Format of the dataset (instruct or dialog) + validation_dataset_id: + type: string + description: >- + (Optional) Unique identifier for the validation dataset + packed: + type: boolean + default: false + description: >- + (Optional) Whether to pack multiple samples into a single sequence for + efficiency + train_on_input: + type: boolean + default: false + description: >- + (Optional) Whether to compute loss on input tokens as well as output tokens + additionalProperties: false + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: >- + Configuration for training data and data loading. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + EfficiencyConfig: + type: object + properties: + enable_activation_checkpointing: + type: boolean + default: false + description: >- + (Optional) Whether to use activation checkpointing to reduce memory usage + enable_activation_offloading: + type: boolean + default: false + description: >- + (Optional) Whether to offload activations to CPU to save GPU memory + memory_efficient_fsdp_wrap: + type: boolean + default: false + description: >- + (Optional) Whether to use memory-efficient FSDP wrapping + fsdp_cpu_offload: + type: boolean + default: false + description: >- + (Optional) Whether to offload FSDP parameters to CPU + additionalProperties: false + title: EfficiencyConfig + description: >- + Configuration for memory and compute efficiency optimizations. + OptimizerConfig: + type: object + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + description: >- + Type of optimizer to use (adam, adamw, or sgd) + lr: + type: number + description: Learning rate for the optimizer + weight_decay: + type: number + description: >- + Weight decay coefficient for regularization + num_warmup_steps: + type: integer + description: Number of steps for learning rate warmup + additionalProperties: false + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: >- + Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: >- + Available optimizer algorithms for training. + TrainingConfig: + type: object + properties: + n_epochs: + type: integer + description: Number of training epochs to run + max_steps_per_epoch: + type: integer + default: 1 + description: Maximum number of steps to run per epoch + gradient_accumulation_steps: + type: integer + default: 1 + description: >- + Number of steps to accumulate gradients before updating + max_validation_steps: + type: integer + default: 1 + description: >- + (Optional) Maximum number of validation steps per epoch + data_config: + $ref: '#/components/schemas/DataConfig' + description: >- + (Optional) Configuration for data loading and formatting + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' + description: >- + (Optional) Configuration for the optimization algorithm + efficiency_config: + $ref: '#/components/schemas/EfficiencyConfig' + description: >- + (Optional) Configuration for memory and compute optimizations + dtype: + type: string + default: bf16 + description: >- + (Optional) Data type for model parameters (bf16, fp16, fp32) + additionalProperties: false + required: + - n_epochs + - max_steps_per_epoch + - gradient_accumulation_steps + title: TrainingConfig + description: >- + Comprehensive configuration for the training process. + PreferenceOptimizeRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + finetuned_model: + type: string + description: The model to fine-tune. + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + description: The algorithm configuration. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + additionalProperties: false + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: PreferenceOptimizeRequest + PostTrainingJob: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + AlgorithmConfig: + oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + LoraFinetuningConfig: + type: object + properties: + type: + type: string + const: LoRA + default: LoRA + description: Algorithm type identifier, always "LoRA" + lora_attn_modules: + type: array + items: + type: string + description: >- + List of attention module names to apply LoRA to + apply_lora_to_mlp: + type: boolean + description: Whether to apply LoRA to MLP layers + apply_lora_to_output: + type: boolean + description: >- + Whether to apply LoRA to output projection layers + rank: + type: integer + description: >- + Rank of the LoRA adaptation (lower rank = fewer parameters) + alpha: + type: integer + description: >- + LoRA scaling parameter that controls adaptation strength + use_dora: + type: boolean + default: false + description: >- + (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) + quantize_base: + type: boolean + default: false + description: >- + (Optional) Whether to quantize the base model weights + additionalProperties: false + required: + - type + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: >- + Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + QATFinetuningConfig: + type: object + properties: + type: + type: string + const: QAT + default: QAT + description: Algorithm type identifier, always "QAT" + quantizer_name: + type: string + description: >- + Name of the quantization algorithm to use + group_size: + type: integer + description: Size of groups for grouped quantization + additionalProperties: false + required: + - type + - quantizer_name + - group_size + title: QATFinetuningConfig + description: >- + Configuration for Quantization-Aware Training (QAT) fine-tuning. + SupervisedFineTuneRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + model: + type: string + description: The model to fine-tune. + checkpoint_dir: + type: string + description: The directory to save checkpoint(s) to. + algorithm_config: + $ref: '#/components/schemas/AlgorithmConfig' + description: The algorithm configuration. + additionalProperties: false + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: SupervisedFineTuneRequest + responses: + BadRequest400: + description: The request was invalid or malformed + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 400 + title: Bad Request + detail: The request was invalid or malformed + TooManyRequests429: + description: >- + The client has sent too many requests in a given amount of time + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 429 + title: Too Many Requests + detail: >- + You have exceeded the rate limit. Please try again later. + InternalServerError500: + description: >- + The server encountered an unexpected error + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 500 + title: Internal Server Error + detail: >- + An unexpected error occurred. Our team has been notified. + DefaultError: + description: An unexpected error occurred + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 0 + title: Error + detail: An unexpected error occurred +security: + - Default: [] +tags: + - name: Agents + description: >- + APIs for creating and interacting with agentic systems. + + + ## Agents API (Experimental) + + + > **🧪 EXPERIMENTAL**: This API is in preview and may change based on user feedback. + Great for exploring new capabilities and providing feedback to influence the + final design. + + + Main functionalities provided by this API: + + + - Create agents with specific instructions and ability to use tools. + + - Interactions with agents are grouped into sessions ("threads"), and each interaction + is called a "turn". + + - Agents can be provided with various tools (see the ToolGroups and ToolRuntime + APIs for more details). + + - Agents can be provided with various shields (see the Safety API for more details). + + - Agents can also use Memory to retrieve information from knowledge bases. See + the RAG Tool and Vector IO APIs for more details. + + + ### 🧪 Feedback Welcome + + + This API is actively being developed. We welcome feedback on: + + - API design and usability + + - Performance characteristics + + - Missing features or capabilities + + - Integration patterns + + + **Provide Feedback**: [GitHub Discussions](https://github.com/llamastack/llama-stack/discussions) + or [GitHub Issues](https://github.com/llamastack/llama-stack/issues) + x-displayName: Agents + - name: Benchmarks + description: '' + - name: DatasetIO + description: '' + - name: Datasets + description: '' + - name: Eval + description: >- + Llama Stack Evaluation API for running evaluations on model and agent candidates. + x-displayName: Evaluations + - name: PostTraining (Coming Soon) + description: '' +x-tagGroups: + - name: Operations + tags: + - Agents + - Benchmarks + - DatasetIO + - Datasets + - Eval + - PostTraining (Coming Soon) diff --git a/docs/v0.3.0/img/agentic-system.png b/docs/v0.3.0/img/agentic-system.png new file mode 100644 index 0000000000000000000000000000000000000000..c452bcdd1ea94510ecdee9195d9ac346797d5622 GIT binary patch literal 130647 zcmeFa3EV8%RUbAIC?PUn;;`8eHhZvS{Jzw_fHCUYx~liRt2>0Dx~jUWy4J3>tHmbU z*p7(_U|}M5+dzyKOA1J46N|BbILJU^%pzeB{PM##78o!_Si<0(+sk|Xz4zwLXwZyi zM8Emw`?_!4y6d^;oO{my-21-{dd-h|>7RM&V~;)dQJN}^9((M=e*Ce=Ui1wg@!vqo zCx3?5hd(dMMor~T^&etMk1+&If0C#A;;!bp-E z%QKwR2(z2W&LIh&hq2|YJ=;3wAuxivgRyrAa)MKjlMNF6!r2?1VVB4JhGR#k0=x0v z3j*VDLZNRkDC%Wh!}Ov&&fLdI0lsTdZU^uelHqrM48L^vAIF}+=_lBi!^cLF1oqrs zwLNH!LX+$b$w2bU+Ulg+d7Kd8bKvzAEQ@9H;qF`QE-B}!O(w@I5yTs>Rl9p zdRE$L=Ec#eW7G{4e(Zvs8_qG+;@Y^g6c*$YZRv@+Zg-ivb!FlrZ-8 z=dK(YPGC;qS$1|R?f7OM$3gBTw-e1cifr>l1g8>>G>xm<+17Dz>fI?%0v*3qI!YKn zFr+AT?pZld5h7cTJ~a=etG4I3=bCZs^dvOSnNJCsYglo0eE*PiIV;C;Jdb7?$57tI zq+LEfX9{s!016>QSigFL;sAH_`U=U|seq2+lIM3toB10qa z9JJW-IDu3*4+Hpu!^gPD123}0yHo=UL&)+p_U}$J5IQi7LpPv0`%KZtq{O&4P=~R5 z^laUmv!)H4B2R0Ww^NA($ul?1i4B}q2|;5wERB&gPjEOzvZv{(?ol8~+%PnWF*rd` z6vuPNX1N!n$Z$6VLsBe>(Im$c#Hj}3v>=?j4MAOeIz$6`PBi!E<#CA8DTIE-&c; zReLebc4RfsdW8ux10%~k^Y)CTaS>Suk$|QOs5Gs0$b0w80(}8i&7Pl1XngNJme9!F z{Wh>u52oS3BvB$rs6dPZL|m}ENgKCl8x?eIuK;osdSXO@6S>No?obss;;jno0T zc3>Oy2ab3yNa4(jE+_w-mfC@ld*y8w_b?K8^psxmA2hv#7-Z@N2~#9~L(x1>;yg>R z9DnTRnV4DPhTwS$!{I4|Q7n6Wd~QY-7pZBVihO#+_>}Fz$r~19X&T1}jKWT<w$MXdVr4PfC%&M*xzNZcR(BC zs1wOO%gfopsr#=B($|KWD^qqW9axb6YygJKHRfuzi0dbdtuVox#itmFwm9 zI5AAbcq-5gA?<>;R)*<22Zr81%3;WLkA*%3J^WF{Eii=}oMSnH#0ehO|A{ot%z!FrF?;rMAdFWK+&N%q3#1u@k}&332LeZMB!ELLdYKh-QB zC3a_ZR=S>S+ASmX`#>ySeh|_(7!8GAB!VUeqWyV7ARx?66Mjh(G!HZd$_Gg?JjtJ!*+W#@EYQWuXN z5GEIk{3(_62P8~@)Oq19Z@5sq)`x#U73V_FLg=X2Kd87rptw;SgRvZxaCaMqM3rS^ z?p>YoywM1EV2()K8!yh-8xN#bc7wK@h_4+)o1Mxf2t_2}PI~#X%dtoTcoNGo6hqLk z@g&bY>CCYR@&@b<_gEIJcC_Fx$rIjZI8cZv4skBx)a*;@q(EV!Xc~j91cCM)A58K* zscRSHIkt_|bRVELFFfqt1tUw2d;hh!L(_RFYaY}_9-zB*9OWm=1CDlmr(z{9bb#Cg z5B8>tu`f~^hE)Mmlbsr{?^ceDy2(l~+&m{cMG|AN8y=@woB|63{60<6nGksTh9o(X zAW51ecrcUQPX`1CiZ4d61deeWMV?JDmvle?BO~tZEP3pMNeHKX#04Q}XvUj%^gJVl zL$jVsO29edhT?!1U^vNOG<6d4CrZE>>V`u?=Dfu@t*A?uaG$`UPbJ)<1?J`;%+#m*-4?Hstqao_(?iw|1)7h;AW2?cfA9&^*VGAPtW!;*y?0ai=c0A9?!E-mm16=T|!k9H!H^B!$!u)-pv~<|y z135^rJvth}j=w=?fI80PeOAlv+6Im-e0KFCf&q5NF!x$@TP%_cXzUNF>^OlR96N|- zToMTbOz(rr=b%BTO&3D%foXpKY^BH7A23XQAWYa70_ALRyd2AO+OuqSIUCX`9E{@k zO+Kvo`)2c5FgG&y)k>Y6Kxc!{Gd3xnZ9`xhH;~WZT;NHo1xk53ma$_g=dvDRzQu2k z+THd8vw1%%I9N1~EqywzdJfH{=lN#2UCh&@j3>33f?e#k zVeHO{FFiMFnY(SWKUaPx|L3`Z6<`X_jE85yDDtx#?4(CtsC>75V28{Kc&<(w?meFv zu)LFtY;iDBoW4AXN9;bW_5zUw5?+Wr_q2h%gP)k%nd+YJJovO|F9_~I zqInn(eo~e8LWN~->9EM4d3bo$VbKsj9U_17?LPBJH_}tF!e@asKe|B#1qv?DVi;I< z!FxsWCq8#xB`*lx{Gcm~ydiEzc9wvD8T8xR#)yZo>dFH=F@YgZH2eYZ>(lnhKks$r z0~>idB>kk;3Jh%iN7i%pg&x0Mb!CKBN1WgTYf`p%Uap_b4)7V784zL_acTH^k4d91 zXi55b4$Is&8L}1aB#HZp1#E*u-7Om;z=E8&oapN$ReIO z4+eN1#hqN5CyG3W6Ftj3_^dka1P{Tpb0Yo&UTXa==#v1Guv`LN9=MKv`8gC~XujbMgG>%SBIdB7qUS`{IdU z(UT}nL%=!Rdsad?n*oIbFx9E{N-bIIoNksRc2zjVz83o4Xfa@vznK6ec;e;$gu(1;pn86xm7iJUZ^? 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Build AI Applications with Llama Stack

Unified APIs for Inference, RAG, Agents, Tools, Safety, and Telemetry

🚀 Get Started📚 API Reference

Quick Start

Get up and running with Llama Stack in just a few commands. Build your first RAG application locally.

# Install uv and start Ollama
+ollama run llama3.2:3b --keepalive 60m
+
+# Install server dependencies
+uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install
+
+# Run Llama Stack server
+OLLAMA_URL=http://localhost:11434 uv run --with llama-stack llama stack run starter
+
+# Try the Python SDK
+from llama_stack_client import LlamaStackClient
+
+client = LlamaStackClient(
+  base_url="http://localhost:8321"
+)
+
+response = client.chat.completions.create(
+  model="Llama3.2-3B-Instruct",
+  messages=[{
+    "role": "user",
+    "content": "What is machine learning?"
+  }]
+)

Why Llama Stack?

🔗

Unified APIs

One consistent interface for all your AI needs - inference, safety, agents, and more.

🔄

Provider Flexibility

Swap between providers without code changes. Start local, deploy anywhere.

🛡️

Production Ready

Built-in safety, monitoring, and evaluation tools for enterprise applications.

📱

Multi-Platform

SDKs for Python, Node.js, iOS, Android, and REST APIs for any language.

Llama Stack Ecosystem

Complete toolkit for building AI applications with Llama Stack

🛠️

SDKs & Clients

Official client libraries for multiple programming languages

Python SDKTypeScript SDKKotlin SDKSwift SDKGo SDK
🚀

Example Applications

Ready-to-run examples to jumpstart your AI projects

Browse Example Apps
☸️

Kubernetes Operator

Deploy and manage Llama Stack on Kubernetes clusters

K8s Operator

Join the Community

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+ + \ No newline at end of file diff --git a/docs/v0.3.0/llama-stack-spec.html b/docs/v0.3.0/llama-stack-spec.html new file mode 100644 index 00000000..61deaec1 --- /dev/null +++ b/docs/v0.3.0/llama-stack-spec.html @@ -0,0 +1,13362 @@ + + + + + + + OpenAPI specification + + + + + + + + + + + + + diff --git a/docs/v0.3.0/llama-stack-spec.yaml b/docs/v0.3.0/llama-stack-spec.yaml new file mode 100644 index 00000000..c6197b36 --- /dev/null +++ b/docs/v0.3.0/llama-stack-spec.yaml @@ -0,0 +1,10251 @@ +openapi: 3.1.0 +info: + title: Llama Stack Specification + version: v1 + description: >- + This is the specification of the Llama Stack that provides + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. + + **✅ STABLE**: Production-ready APIs with backward compatibility guarantees. +servers: + - url: http://any-hosted-llama-stack.com +paths: + /v1/chat/completions: + get: + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: List chat completions. + description: List chat completions. + parameters: + - name: after + in: query + description: >- + The ID of the last chat completion to return. + required: false + schema: + type: string + - name: limit + in: query + description: >- + The maximum number of chat completions to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort the chat completions by: "asc" or "desc". Defaults to + "desc". + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + post: + responses: + '200': + description: An OpenAIChatCompletion. + content: + application/json: + schema: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletion' + - $ref: '#/components/schemas/OpenAIChatCompletionChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create chat completions. + description: >- + Create chat completions. + + Generate an OpenAI-compatible chat completion for the given messages using + the specified model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' + required: true + deprecated: false + /v1/chat/completions/{completion_id}: + get: + responses: + '200': + description: A OpenAICompletionWithInputMessages. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Get chat completion. + description: >- + Get chat completion. + + Describe a chat completion by its ID. + parameters: + - name: completion_id + in: path + description: ID of the chat completion. + required: true + schema: + type: string + deprecated: false + /v1/completions: + post: + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create completion. + description: >- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' + required: true + deprecated: false + /v1/conversations: + post: + responses: + '200': + description: The created conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Create a conversation. + description: >- + Create a conversation. + + Create a conversation. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateConversationRequest' + required: true + deprecated: false + /v1/conversations/{conversation_id}: + get: + responses: + '200': + description: The conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Retrieve a conversation. + description: >- + Retrieve a conversation. + + Get a conversation with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: The updated conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Update a conversation. + description: >- + Update a conversation. + + Update a conversation's metadata with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/UpdateConversationRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: The deleted conversation resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationDeletedResource' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Delete a conversation. + description: >- + Delete a conversation. + + Delete a conversation with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + deprecated: false + /v1/conversations/{conversation_id}/items: + get: + responses: + '200': + description: List of conversation items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: List items. + description: >- + List items. + + List items in the conversation. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: after + in: query + description: >- + An item ID to list items after, used in pagination. + required: true + schema: + oneOf: + - type: string + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: include + in: query + description: >- + Specify additional output data to include in the response. + required: true + schema: + oneOf: + - type: array + items: + type: string + enum: + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: limit + in: query + description: >- + A limit on the number of objects to be returned (1-100, default 20). + required: true + schema: + oneOf: + - type: integer + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: order + in: query + description: >- + The order to return items in (asc or desc, default desc). + required: true + schema: + oneOf: + - type: string + enum: + - asc + - desc + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + deprecated: false + post: + responses: + '200': + description: List of created items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Create items. + description: >- + Create items. + + Create items in the conversation. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/AddItemsRequest' + required: true + deprecated: false + /v1/conversations/{conversation_id}/items/{item_id}: + get: + responses: + '200': + description: The conversation item. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItem' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Retrieve an item. + description: >- + Retrieve an item. + + Retrieve a conversation item. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: item_id + in: path + description: The item identifier. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: The deleted item resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemDeletedResource' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Delete an item. + description: >- + Delete an item. + + Delete a conversation item. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: item_id + in: path + description: The item identifier. + required: true + schema: + type: string + deprecated: false + /v1/embeddings: + post: + responses: + '200': + description: >- + An OpenAIEmbeddingsResponse containing the embeddings. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create embeddings. + description: >- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' + required: true + deprecated: false + /v1/files: + get: + responses: + '200': + description: >- + An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: List files. + description: >- + List files. + + Returns a list of files that belong to the user's organization. + parameters: + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. For instance, if you make a list request and receive + 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo + in order to fetch the next page of the list. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 10,000, and the default is 10,000. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + $ref: '#/components/schemas/Order' + - name: purpose + in: query + description: >- + Only return files with the given purpose. + required: false + schema: + $ref: '#/components/schemas/OpenAIFilePurpose' + deprecated: false + post: + responses: + '200': + description: >- + An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Upload file. + description: >- + Upload file. + + Upload a file that can be used across various endpoints. + + + The file upload should be a multipart form request with: + + - file: The File object (not file name) to be uploaded. + + - purpose: The intended purpose of the uploaded file. + + - expires_after: Optional form values describing expiration for the file. + parameters: [] + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + $ref: '#/components/schemas/ExpiresAfter' + required: + - file + - purpose + required: true + deprecated: false + /v1/files/{file_id}: + get: + responses: + '200': + description: >- + An OpenAIFileObject containing file information. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file. + description: >- + Retrieve file. + + Returns information about a specific file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: >- + An OpenAIFileDeleteResponse indicating successful deletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Delete file. + description: Delete file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + /v1/files/{file_id}/content: + get: + responses: + '200': + description: >- + The raw file content as a binary response. + content: + application/json: + schema: + $ref: '#/components/schemas/Response' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file content. + description: >- + Retrieve file content. + + Returns the contents of the specified file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + /v1/health: + get: + responses: + '200': + description: >- + Health information indicating if the service is operational. + content: + application/json: + schema: + $ref: '#/components/schemas/HealthInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: Get health status. + description: >- + Get health status. + + Get the current health status of the service. + parameters: [] + deprecated: false + /v1/inspect/routes: + get: + responses: + '200': + description: >- + Response containing information about all available routes. + content: + application/json: + schema: + $ref: '#/components/schemas/ListRoutesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: List routes. + description: >- + List routes. + + List all available API routes with their methods and implementing providers. + parameters: [] + deprecated: false + /v1/models: + get: + responses: + '200': + description: A ListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListModelsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: List all models. + description: List all models. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Register model. + description: >- + Register model. + + Register a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterModelRequest' + required: true + deprecated: false + /v1/models/{model_id}: + get: + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Get model. + description: >- + Get model. + + Get a model by its identifier. + parameters: + - name: model_id + in: path + description: The identifier of the model to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Unregister model. + description: >- + Unregister model. + + Unregister a model. + parameters: + - name: model_id + in: path + description: >- + The identifier of the model to unregister. + required: true + schema: + type: string + deprecated: false + /v1/moderations: + post: + responses: + '200': + description: A moderation object. + content: + application/json: + schema: + $ref: '#/components/schemas/ModerationObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Safety + summary: Create moderation. + description: >- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunModerationRequest' + required: true + deprecated: false + /v1/prompts: + get: + responses: + '200': + description: >- + A ListPromptsResponse containing all prompts. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: List all prompts. + description: List all prompts. + parameters: [] + deprecated: false + post: + responses: + '200': + description: The created Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Create prompt. + description: >- + Create prompt. + + Create a new prompt. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreatePromptRequest' + required: true + deprecated: false + /v1/prompts/{prompt_id}: + get: + responses: + '200': + description: A Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Get prompt. + description: >- + Get prompt. + + Get a prompt by its identifier and optional version. + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to get. + required: true + schema: + type: string + - name: version + in: query + description: >- + The version of the prompt to get (defaults to latest). + required: false + schema: + type: integer + deprecated: false + post: + responses: + '200': + description: >- + The updated Prompt resource with incremented version. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Update prompt. + description: >- + Update prompt. + + Update an existing prompt (increments version). + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/UpdatePromptRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Delete prompt. + description: >- + Delete prompt. + + Delete a prompt. + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to delete. + required: true + schema: + type: string + deprecated: false + /v1/prompts/{prompt_id}/set-default-version: + post: + responses: + '200': + description: >- + The prompt with the specified version now set as default. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Set prompt version. + description: >- + Set prompt version. + + Set which version of a prompt should be the default in get_prompt (latest). + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SetDefaultVersionRequest' + required: true + deprecated: false + /v1/prompts/{prompt_id}/versions: + get: + responses: + '200': + description: >- + A ListPromptsResponse containing all versions of the prompt. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: List prompt versions. + description: >- + List prompt versions. + + List all versions of a specific prompt. + parameters: + - name: prompt_id + in: path + description: >- + The identifier of the prompt to list versions for. + required: true + schema: + type: string + deprecated: false + /v1/providers: + get: + responses: + '200': + description: >- + A ListProvidersResponse containing information about all providers. + content: + application/json: + schema: + $ref: '#/components/schemas/ListProvidersResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Providers + summary: List providers. + description: >- + List providers. + + List all available providers. + parameters: [] + deprecated: false + /v1/providers/{provider_id}: + get: + responses: + '200': + description: >- + A ProviderInfo object containing the provider's details. + content: + application/json: + schema: + $ref: '#/components/schemas/ProviderInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Providers + summary: Get provider. + description: >- + Get provider. + + Get detailed information about a specific provider. + parameters: + - name: provider_id + in: path + description: The ID of the provider to inspect. + required: true + schema: + type: string + deprecated: false + /v1/responses: + get: + responses: + '200': + description: A ListOpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all responses. + description: List all responses. + parameters: + - name: after + in: query + description: The ID of the last response to return. + required: false + schema: + type: string + - name: limit + in: query + description: The number of responses to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter responses by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort responses by when sorted by created_at ('asc' or 'desc'). + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + post: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + text/event-stream: + schema: + $ref: '#/components/schemas/OpenAIResponseObjectStream' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a model response. + description: Create a model response. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateOpenaiResponseRequest' + required: true + deprecated: false + x-llama-stack-extra-body-params: + - name: guardrails + schema: + type: array + items: + oneOf: + - type: string + - $ref: '#/components/schemas/ResponseGuardrailSpec' + description: >- + List of guardrails to apply during response generation. Guardrails provide + safety and content moderation. + required: false + /v1/responses/{response_id}: + get: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Get a model response. + description: Get a model response. + parameters: + - name: response_id + in: path + description: >- + The ID of the OpenAI response to retrieve. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: An OpenAIDeleteResponseObject + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIDeleteResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Delete a response. + description: Delete a response. + parameters: + - name: response_id + in: path + description: The ID of the OpenAI response to delete. + required: true + schema: + type: string + deprecated: false + /v1/responses/{response_id}/input_items: + get: + responses: + '200': + description: An ListOpenAIResponseInputItem. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseInputItem' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List input items. + description: List input items. + parameters: + - name: response_id + in: path + description: >- + The ID of the response to retrieve input items for. + required: true + schema: + type: string + - name: after + in: query + description: >- + An item ID to list items after, used for pagination. + required: false + schema: + type: string + - name: before + in: query + description: >- + An item ID to list items before, used for pagination. + required: false + schema: + type: string + - name: include + in: query + description: >- + Additional fields to include in the response. + required: false + schema: + type: array + items: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + The order to return the input items in. Default is desc. + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + /v1/safety/run-shield: + post: + responses: + '200': + description: A RunShieldResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Safety + summary: Run shield. + description: >- + Run shield. + + Run a shield. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldRequest' + required: true + deprecated: false + /v1/scoring-functions: + get: + responses: + '200': + description: A ListScoringFunctionsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListScoringFunctionsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: List all scoring functions. + description: List all scoring functions. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Register a scoring function. + description: Register a scoring function. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterScoringFunctionRequest' + required: true + deprecated: false + /v1/scoring-functions/{scoring_fn_id}: + get: + responses: + '200': + description: A ScoringFn. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoringFn' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Get a scoring function by its ID. + description: Get a scoring function by its ID. + parameters: + - name: scoring_fn_id + in: path + description: The ID of the scoring function to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Unregister a scoring function. + description: Unregister a scoring function. + parameters: + - name: scoring_fn_id + in: path + description: >- + The ID of the scoring function to unregister. + required: true + schema: + type: string + deprecated: false + /v1/scoring/score: + post: + responses: + '200': + description: >- + A ScoreResponse object containing rows and aggregated results. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Scoring + summary: Score a list of rows. + description: Score a list of rows. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreRequest' + required: true + deprecated: false + /v1/scoring/score-batch: + post: + responses: + '200': + description: A ScoreBatchResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Scoring + summary: Score a batch of rows. + description: Score a batch of rows. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchRequest' + required: true + deprecated: false + /v1/shields: + get: + responses: + '200': + description: A ListShieldsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListShieldsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: List all shields. + description: List all shields. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Register a shield. + description: Register a shield. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterShieldRequest' + required: true + deprecated: false + /v1/shields/{identifier}: + get: + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Get a shield by its identifier. + description: Get a shield by its identifier. + parameters: + - name: identifier + in: path + description: The identifier of the shield to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Unregister a shield. + description: Unregister a shield. + parameters: + - name: identifier + in: path + description: >- + The identifier of the shield to unregister. + required: true + schema: + type: string + deprecated: false + /v1/synthetic-data-generation/generate: + post: + responses: + '200': + description: >- + Response containing filtered synthetic data samples and optional statistics + content: + application/json: + schema: + $ref: '#/components/schemas/SyntheticDataGenerationResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - SyntheticDataGeneration (Coming Soon) + summary: >- + Generate synthetic data based on input dialogs and apply filtering. + description: >- + Generate synthetic data based on input dialogs and apply filtering. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SyntheticDataGenerateRequest' + required: true + deprecated: false + /v1/tool-runtime/invoke: + post: + responses: + '200': + description: A ToolInvocationResult. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolInvocationResult' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: Run a tool with the given arguments. + description: Run a tool with the given arguments. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InvokeToolRequest' + required: true + deprecated: false + /v1/tool-runtime/list-tools: + get: + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: List all tools in the runtime. + description: List all tools in the runtime. + parameters: + - name: tool_group_id + in: query + description: >- + The ID of the tool group to list tools for. + required: false + schema: + type: string + - name: mcp_endpoint + in: query + description: >- + The MCP endpoint to use for the tool group. + required: false + schema: + $ref: '#/components/schemas/URL' + deprecated: false + /v1/tool-runtime/rag-tool/insert: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: >- + Index documents so they can be used by the RAG system. + description: >- + Index documents so they can be used by the RAG system. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InsertRequest' + required: true + deprecated: false + /v1/tool-runtime/rag-tool/query: + post: + responses: + '200': + description: >- + RAGQueryResult containing the retrieved content and metadata + content: + application/json: + schema: + $ref: '#/components/schemas/RAGQueryResult' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: >- + Query the RAG system for context; typically invoked by the agent. + description: >- + Query the RAG system for context; typically invoked by the agent. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/QueryRequest' + required: true + deprecated: false + /v1/toolgroups: + get: + responses: + '200': + description: A ListToolGroupsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolGroupsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: List tool groups with optional provider. + description: List tool groups with optional provider. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Register a tool group. + description: Register a tool group. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterToolGroupRequest' + required: true + deprecated: false + /v1/toolgroups/{toolgroup_id}: + get: + responses: + '200': + description: A ToolGroup. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolGroup' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Get a tool group by its ID. + description: Get a tool group by its ID. + parameters: + - name: toolgroup_id + in: path + description: The ID of the tool group to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Unregister a tool group. + description: Unregister a tool group. + parameters: + - name: toolgroup_id + in: path + description: The ID of the tool group to unregister. + required: true + schema: + type: string + deprecated: false + /v1/tools: + get: + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: List tools with optional tool group. + description: List tools with optional tool group. + parameters: + - name: toolgroup_id + in: query + description: >- + The ID of the tool group to list tools for. + required: false + schema: + type: string + deprecated: false + /v1/tools/{tool_name}: + get: + responses: + '200': + description: A ToolDef. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolDef' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Get a tool by its name. + description: Get a tool by its name. + parameters: + - name: tool_name + in: path + description: The name of the tool to get. + required: true + schema: + type: string + deprecated: false + /v1/vector-io/insert: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Insert chunks into a vector database. + description: Insert chunks into a vector database. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InsertChunksRequest' + required: true + deprecated: false + /v1/vector-io/query: + post: + responses: + '200': + description: A QueryChunksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/QueryChunksResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Query chunks from a vector database. + description: Query chunks from a vector database. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/QueryChunksRequest' + required: true + deprecated: false + /v1/vector_stores: + get: + responses: + '200': + description: >- + A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Returns a list of vector stores. + description: Returns a list of vector stores. + parameters: + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Creates a vector store. + description: >- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}: + get: + responses: + '200': + description: >- + A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store. + description: Retrieves a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to retrieve. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store. + description: Updates a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: >- + A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store. + description: Delete a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to delete. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Create a vector store file batch. + description: >- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector + store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to create the file batch for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieve a vector store file batch. + description: Retrieve a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to retrieve. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Cancels a vector store file batch. + description: Cancels a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to cancel. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreFilesListInBatchResponse containing the list of files in + the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Returns a list of vector store files in a batch. + description: >- + Returns a list of vector store files in a batch. + parameters: + - name: batch_id + in: path + description: >- + The ID of the file batch to list files from. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + Filter by file status. One of in_progress, completed, failed, cancelled. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: List files in a vector store. + description: List files in a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to list files from. + required: true + schema: + type: string + - name: limit + in: query + description: >- + (Optional) A limit on the number of objects to be returned. Limit can + range between 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + (Optional) Sort order by the `created_at` timestamp of the objects. `asc` + for ascending order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + (Optional) A cursor for use in pagination. `after` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + (Optional) A cursor for use in pagination. `before` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + (Optional) Filter by file status to only return files with the specified + status. + required: false + schema: + $ref: '#/components/schemas/VectorStoreFileStatus' + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Attach a file to a vector store. + description: Attach a file to a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to attach the file to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store file. + description: Retrieves a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store file. + description: Updates a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to update. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: >- + A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store file. + description: Delete a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to delete. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to delete. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + responses: + '200': + description: >- + A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Retrieves the contents of a vector store file. + description: >- + Retrieves the contents of a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/search: + post: + responses: + '200': + description: >- + A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Search for chunks in a vector store. + description: >- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional + file attribute filters. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to search. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + required: true + deprecated: false + /v1/version: + get: + responses: + '200': + description: >- + Version information containing the service version number. + content: + application/json: + schema: + $ref: '#/components/schemas/VersionInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: Get version. + description: >- + Get version. + + Get the version of the service. + parameters: [] + deprecated: false +jsonSchemaDialect: >- + https://json-schema.org/draft/2020-12/schema +components: + schemas: + Error: + type: object + properties: + status: + type: integer + description: HTTP status code + title: + type: string + description: >- + Error title, a short summary of the error which is invariant for an error + type + detail: + type: string + description: >- + Error detail, a longer human-readable description of the error + instance: + type: string + description: >- + (Optional) A URL which can be used to retrieve more information about + the specific occurrence of the error + additionalProperties: false + required: + - status + - title + - detail + title: Error + description: >- + Error response from the API. Roughly follows RFC 7807. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + ListOpenAIChatCompletionResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + description: >- + List of chat completion objects with their input messages + has_more: + type: boolean + description: >- + Whether there are more completions available beyond this list + first_id: + type: string + description: ID of the first completion in this list + last_id: + type: string + description: ID of the last completion in this list + object: + type: string + const: list + default: list + description: >- + Must be "list" to identify this as a list response + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIChatCompletionResponse + description: >- + Response from listing OpenAI-compatible chat completions. + OpenAIAssistantMessageParam: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the model's response + name: + type: string + description: >- + (Optional) The name of the assistant message participant. + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: >- + List of tool calls. Each tool call is an OpenAIChatCompletionToolCall + object. + additionalProperties: false + required: + - role + title: OpenAIAssistantMessageParam + description: >- + A message containing the model's (assistant) response in an OpenAI-compatible + chat completion request. + "OpenAIChatCompletionContentPartImageParam": + type: object + properties: + type: + type: string + const: image_url + default: image_url + description: >- + Must be "image_url" to identify this as image content + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + description: >- + Image URL specification and processing details + additionalProperties: false + required: + - type + - image_url + title: >- + OpenAIChatCompletionContentPartImageParam + description: >- + Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartParam: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + file: '#/components/schemas/OpenAIFile' + OpenAIChatCompletionContentPartTextParam: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to identify this as text content + text: + type: string + description: The text content of the message + additionalProperties: false + required: + - type + - text + title: OpenAIChatCompletionContentPartTextParam + description: >- + Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionToolCall: + type: object + properties: + index: + type: integer + description: >- + (Optional) Index of the tool call in the list + id: + type: string + description: >- + (Optional) Unique identifier for the tool call + type: + type: string + const: function + default: function + description: >- + Must be "function" to identify this as a function call + function: + $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + description: (Optional) Function call details + additionalProperties: false + required: + - type + title: OpenAIChatCompletionToolCall + description: >- + Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: + type: object + properties: + name: + type: string + description: (Optional) Name of the function to call + arguments: + type: string + description: >- + (Optional) Arguments to pass to the function as a JSON string + additionalProperties: false + title: OpenAIChatCompletionToolCallFunction + description: >- + Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: + type: object + properties: + prompt_tokens: + type: integer + description: Number of tokens in the prompt + completion_tokens: + type: integer + description: Number of tokens in the completion + total_tokens: + type: integer + description: Total tokens used (prompt + completion) + prompt_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + title: >- + OpenAIChatCompletionUsagePromptTokensDetails + description: >- + Token details for prompt tokens in OpenAI chat completion usage. + completion_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + title: >- + OpenAIChatCompletionUsageCompletionTokensDetails + description: >- + Token details for output tokens in OpenAI chat completion usage. + additionalProperties: false + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: >- + Usage information for OpenAI chat completion. + OpenAIChoice: + type: object + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + description: The message from the model + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: >- + A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs: + type: object + properties: + content: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + refusal: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + title: OpenAIChoiceLogprobs + description: >- + The log probabilities for the tokens in the message from an OpenAI-compatible + chat completion response. + OpenAIDeveloperMessageParam: + type: object + properties: + role: + type: string + const: developer + default: developer + description: >- + Must be "developer" to identify this as a developer message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the developer message + name: + type: string + description: >- + (Optional) The name of the developer message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIDeveloperMessageParam + description: >- + A message from the developer in an OpenAI-compatible chat completion request. + OpenAIFile: + type: object + properties: + type: + type: string + const: file + default: file + file: + $ref: '#/components/schemas/OpenAIFileFile' + additionalProperties: false + required: + - type + - file + title: OpenAIFile + OpenAIFileFile: + type: object + properties: + file_data: + type: string + file_id: + type: string + filename: + type: string + additionalProperties: false + title: OpenAIFileFile + OpenAIImageURL: + type: object + properties: + url: + type: string + description: >- + URL of the image to include in the message + detail: + type: string + description: >- + (Optional) Level of detail for image processing. Can be "low", "high", + or "auto" + additionalProperties: false + required: + - url + title: OpenAIImageURL + description: >- + Image URL specification for OpenAI-compatible chat completion messages. + OpenAIMessageParam: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAISystemMessageParam: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + name: + type: string + description: >- + (Optional) The name of the system message participant. + additionalProperties: false + required: + - role + - content + title: OpenAISystemMessageParam + description: >- + A system message providing instructions or context to the model. + OpenAITokenLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + top_logprobs: + type: array + items: + $ref: '#/components/schemas/OpenAITopLogProb' + additionalProperties: false + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: >- + The log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIToolMessageParam: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + tool_call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The response content from the tool + additionalProperties: false + required: + - role + - tool_call_id + - content + title: OpenAIToolMessageParam + description: >- + A message representing the result of a tool invocation in an OpenAI-compatible + chat completion request. + OpenAITopLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + additionalProperties: false + required: + - token + - logprob + title: OpenAITopLogProb + description: >- + The top log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIUserMessageParam: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' + description: >- + The content of the message, which can include text and other media + name: + type: string + description: >- + (Optional) The name of the user message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIUserMessageParam + description: >- + A message from the user in an OpenAI-compatible chat completion request. + OpenAIJSONSchema: + type: object + properties: + name: + type: string + description: Name of the schema + description: + type: string + description: (Optional) Description of the schema + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict adherence to the schema + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The JSON schema definition + additionalProperties: false + required: + - name + title: OpenAIJSONSchema + description: >- + JSON schema specification for OpenAI-compatible structured response format. + OpenAIResponseFormatJSONObject: + type: object + properties: + type: + type: string + const: json_object + default: json_object + description: >- + Must be "json_object" to indicate generic JSON object response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatJSONObject + description: >- + JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: + type: object + properties: + type: + type: string + const: json_schema + default: json_schema + description: >- + Must be "json_schema" to indicate structured JSON response format + json_schema: + $ref: '#/components/schemas/OpenAIJSONSchema' + description: >- + The JSON schema specification for the response + additionalProperties: false + required: + - type + - json_schema + title: OpenAIResponseFormatJSONSchema + description: >- + JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatParam: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIResponseFormatText' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + OpenAIResponseFormatText: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to indicate plain text response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatText + description: >- + Text response format for OpenAI-compatible chat completion requests. + OpenAIChatCompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + description: List of messages in the conversation. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + function_call: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The function call to use. + functions: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) List of functions to use. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_completion_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + parallel_tool_calls: + type: boolean + description: >- + (Optional) Whether to parallelize tool calls. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + response_format: + $ref: '#/components/schemas/OpenAIResponseFormatParam' + description: (Optional) The response format to use. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + tool_choice: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tool choice to use. + tools: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tools to use. + top_logprobs: + type: integer + description: >- + (Optional) The top log probabilities to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + additionalProperties: false + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletion: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletion + description: >- + Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionChunk: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + description: List of choices + object: + type: string + const: chat.completion.chunk + default: chat.completion.chunk + description: >- + The object type, which will be "chat.completion.chunk" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information (typically included in final chunk with stream_options) + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletionChunk + description: >- + Chunk from a streaming response to an OpenAI-compatible chat completion request. + OpenAIChoiceDelta: + type: object + properties: + content: + type: string + description: (Optional) The content of the delta + refusal: + type: string + description: (Optional) The refusal of the delta + role: + type: string + description: (Optional) The role of the delta + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: (Optional) The tool calls of the delta + reasoning_content: + type: string + description: >- + (Optional) The reasoning content from the model (non-standard, for o1/o3 + models) + additionalProperties: false + title: OpenAIChoiceDelta + description: >- + A delta from an OpenAI-compatible chat completion streaming response. + OpenAIChunkChoice: + type: object + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + description: The delta from the chunk + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + description: >- + A chunk choice from an OpenAI-compatible chat completion streaming response. + OpenAICompletionWithInputMessages: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + prompt: + oneOf: + - type: string + - type: array + items: + type: string + - type: array + items: + type: integer + - type: array + items: + type: array + items: + type: integer + description: The prompt to generate a completion for. + best_of: + type: integer + description: >- + (Optional) The number of completions to generate. + echo: + type: boolean + description: (Optional) Whether to echo the prompt. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + suffix: + type: string + description: >- + (Optional) The suffix that should be appended to the completion. + additionalProperties: false + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletion: + type: object + properties: + id: + type: string + choices: + type: array + items: + $ref: '#/components/schemas/OpenAICompletionChoice' + created: + type: integer + model: + type: string + object: + type: string + const: text_completion + default: text_completion + additionalProperties: false + required: + - id + - choices + - created + - model + - object + title: OpenAICompletion + description: >- + Response from an OpenAI-compatible completion request. + OpenAICompletionChoice: + type: object + properties: + finish_reason: + type: string + text: + type: string + index: + type: integer + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + additionalProperties: false + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: >- + A choice from an OpenAI-compatible completion response. + ConversationItem: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + OpenAIResponseAnnotationCitation: + type: object + properties: + type: + type: string + const: url_citation + default: url_citation + description: >- + Annotation type identifier, always "url_citation" + end_index: + type: integer + description: >- + End position of the citation span in the content + start_index: + type: integer + description: >- + Start position of the citation span in the content + title: + type: string + description: Title of the referenced web resource + url: + type: string + description: URL of the referenced web resource + additionalProperties: false + required: + - type + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: >- + URL citation annotation for referencing external web resources. + "OpenAIResponseAnnotationContainerFileCitation": + type: object + properties: + type: + type: string + const: container_file_citation + default: container_file_citation + container_id: + type: string + end_index: + type: integer + file_id: + type: string + filename: + type: string + start_index: + type: integer + additionalProperties: false + required: + - type + - container_id + - end_index + - file_id + - filename + - start_index + title: >- + OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + type: object + properties: + type: + type: string + const: file_citation + default: file_citation + description: >- + Annotation type identifier, always "file_citation" + file_id: + type: string + description: Unique identifier of the referenced file + filename: + type: string + description: Name of the referenced file + index: + type: integer + description: >- + Position index of the citation within the content + additionalProperties: false + required: + - type + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: >- + File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + type: object + properties: + type: + type: string + const: file_path + default: file_path + file_id: + type: string + index: + type: integer + additionalProperties: false + required: + - type + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseAnnotations: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. + "OpenAIResponseInputFunctionToolCallOutput": + type: object + properties: + call_id: + type: string + output: + type: string + type: + type: string + const: function_call_output + default: function_call_output + id: + type: string + status: + type: string + additionalProperties: false + required: + - call_id + - output + - type + title: >- + OpenAIResponseInputFunctionToolCallOutput + description: >- + This represents the output of a function call that gets passed back to the + model. + OpenAIResponseInputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + discriminator: + propertyName: type + mapping: + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + OpenAIResponseInputMessageContentImage: + type: object + properties: + detail: + oneOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + default: auto + description: >- + Level of detail for image processing, can be "low", "high", or "auto" + type: + type: string + const: input_image + default: input_image + description: >- + Content type identifier, always "input_image" + image_url: + type: string + description: (Optional) URL of the image content + additionalProperties: false + required: + - detail + - type + title: OpenAIResponseInputMessageContentImage + description: >- + Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: + type: object + properties: + text: + type: string + description: The text content of the input message + type: + type: string + const: input_text + default: input_text + description: >- + Content type identifier, always "input_text" + additionalProperties: false + required: + - text + - type + title: OpenAIResponseInputMessageContentText + description: >- + Text content for input messages in OpenAI response format. + OpenAIResponseMCPApprovalRequest: + type: object + properties: + arguments: + type: string + id: + type: string + name: + type: string + server_label: + type: string + type: + type: string + const: mcp_approval_request + default: mcp_approval_request + additionalProperties: false + required: + - arguments + - id + - name + - server_label + - type + title: OpenAIResponseMCPApprovalRequest + description: >- + A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + type: object + properties: + approval_request_id: + type: string + approve: + type: boolean + type: + type: string + const: mcp_approval_response + default: mcp_approval_response + id: + type: string + reason: + type: string + additionalProperties: false + required: + - approval_request_id + - approve + - type + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage: + type: object + properties: + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputMessageContent' + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageContent' + role: + oneOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + type: + type: string + const: message + default: message + id: + type: string + status: + type: string + additionalProperties: false + required: + - content + - role + - type + title: OpenAIResponseMessage + description: >- + Corresponds to the various Message types in the Responses API. They are all + under one type because the Responses API gives them all the same "type" value, + and there is no way to tell them apart in certain scenarios. + OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": + type: object + properties: + text: + type: string + type: + type: string + const: output_text + default: output_text + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + additionalProperties: false + required: + - text + - type + - annotations + title: >- + OpenAIResponseOutputMessageContentOutputText + "OpenAIResponseOutputMessageFileSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + queries: + type: array + items: + type: string + description: List of search queries executed + status: + type: string + description: >- + Current status of the file search operation + type: + type: string + const: file_search_call + default: file_search_call + description: >- + Tool call type identifier, always "file_search_call" + results: + type: array + items: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes associated with the file + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: >- + Relevance score for this search result (between 0 and 1) + text: + type: string + description: Text content of the search result + additionalProperties: false + required: + - attributes + - file_id + - filename + - score + - text + title: >- + OpenAIResponseOutputMessageFileSearchToolCallResults + description: >- + Search results returned by the file search operation. + description: >- + (Optional) Search results returned by the file search operation + additionalProperties: false + required: + - id + - queries + - status + - type + title: >- + OpenAIResponseOutputMessageFileSearchToolCall + description: >- + File search tool call output message for OpenAI responses. + "OpenAIResponseOutputMessageFunctionToolCall": + type: object + properties: + call_id: + type: string + description: Unique identifier for the function call + name: + type: string + description: Name of the function being called + arguments: + type: string + description: >- + JSON string containing the function arguments + type: + type: string + const: function_call + default: function_call + description: >- + Tool call type identifier, always "function_call" + id: + type: string + description: >- + (Optional) Additional identifier for the tool call + status: + type: string + description: >- + (Optional) Current status of the function call execution + additionalProperties: false + required: + - call_id + - name + - arguments + - type + title: >- + OpenAIResponseOutputMessageFunctionToolCall + description: >- + Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + type: object + properties: + id: + type: string + description: Unique identifier for this MCP call + type: + type: string + const: mcp_call + default: mcp_call + description: >- + Tool call type identifier, always "mcp_call" + arguments: + type: string + description: >- + JSON string containing the MCP call arguments + name: + type: string + description: Name of the MCP method being called + server_label: + type: string + description: >- + Label identifying the MCP server handling the call + error: + type: string + description: >- + (Optional) Error message if the MCP call failed + output: + type: string + description: >- + (Optional) Output result from the successful MCP call + additionalProperties: false + required: + - id + - type + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: >- + Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + type: object + properties: + id: + type: string + description: >- + Unique identifier for this MCP list tools operation + type: + type: string + const: mcp_list_tools + default: mcp_list_tools + description: >- + Tool call type identifier, always "mcp_list_tools" + server_label: + type: string + description: >- + Label identifying the MCP server providing the tools + tools: + type: array + items: + type: object + properties: + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + JSON schema defining the tool's input parameters + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Description of what the tool does + additionalProperties: false + required: + - input_schema + - name + title: MCPListToolsTool + description: >- + Tool definition returned by MCP list tools operation. + description: >- + List of available tools provided by the MCP server + additionalProperties: false + required: + - id + - type + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: >- + MCP list tools output message containing available tools from an MCP server. + "OpenAIResponseOutputMessageWebSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + status: + type: string + description: >- + Current status of the web search operation + type: + type: string + const: web_search_call + default: web_search_call + description: >- + Tool call type identifier, always "web_search_call" + additionalProperties: false + required: + - id + - status + - type + title: >- + OpenAIResponseOutputMessageWebSearchToolCall + description: >- + Web search tool call output message for OpenAI responses. + CreateConversationRequest: + type: object + properties: + items: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + description: >- + Initial items to include in the conversation context. + metadata: + type: object + additionalProperties: + type: string + description: >- + Set of key-value pairs that can be attached to an object. + additionalProperties: false + title: CreateConversationRequest + Conversation: + type: object + properties: + id: + type: string + object: + type: string + const: conversation + default: conversation + created_at: + type: integer + metadata: + type: object + additionalProperties: + type: string + items: + type: array + items: + type: object + title: dict + description: >- + dict() -> new empty dictionary dict(mapping) -> new dictionary initialized + from a mapping object's (key, value) pairs dict(iterable) -> new + dictionary initialized as if via: d = {} for k, v in iterable: d[k] + = v dict(**kwargs) -> new dictionary initialized with the name=value + pairs in the keyword argument list. For example: dict(one=1, two=2) + additionalProperties: false + required: + - id + - object + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + UpdateConversationRequest: + type: object + properties: + metadata: + type: object + additionalProperties: + type: string + description: >- + Set of key-value pairs that can be attached to an object. + additionalProperties: false + required: + - metadata + title: UpdateConversationRequest + ConversationDeletedResource: + type: object + properties: + id: + type: string + object: + type: string + default: conversation.deleted + deleted: + type: boolean + default: true + additionalProperties: false + required: + - id + - object + - deleted + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemList: + type: object + properties: + object: + type: string + default: list + data: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + default: false + additionalProperties: false + required: + - object + - data + - has_more + title: ConversationItemList + description: >- + List of conversation items with pagination. + AddItemsRequest: + type: object + properties: + items: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + description: >- + Items to include in the conversation context. + additionalProperties: false + required: + - items + title: AddItemsRequest + ConversationItemDeletedResource: + type: object + properties: + id: + type: string + object: + type: string + default: conversation.item.deleted + deleted: + type: boolean + default: true + additionalProperties: false + required: + - id + - object + - deleted + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + OpenAIEmbeddingsRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be an embedding model + registered with Llama Stack and available via the /models endpoint. + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input text to embed, encoded as a string or array of strings. To embed + multiple inputs in a single request, pass an array of strings. + encoding_format: + type: string + default: float + description: >- + (Optional) The format to return the embeddings in. Can be either "float" + or "base64". Defaults to "float". + dimensions: + type: integer + description: >- + (Optional) The number of dimensions the resulting output embeddings should + have. Only supported in text-embedding-3 and later models. + user: + type: string + description: >- + (Optional) A unique identifier representing your end-user, which can help + OpenAI to monitor and detect abuse. + additionalProperties: false + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingData: + type: object + properties: + object: + type: string + const: embedding + default: embedding + description: >- + The object type, which will be "embedding" + embedding: + oneOf: + - type: array + items: + type: number + - type: string + description: >- + The embedding vector as a list of floats (when encoding_format="float") + or as a base64-encoded string (when encoding_format="base64") + index: + type: integer + description: >- + The index of the embedding in the input list + additionalProperties: false + required: + - object + - embedding + - index + title: OpenAIEmbeddingData + description: >- + A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + type: object + properties: + prompt_tokens: + type: integer + description: The number of tokens in the input + total_tokens: + type: integer + description: The total number of tokens used + additionalProperties: false + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: >- + Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsResponse: + type: object + properties: + object: + type: string + const: list + default: list + description: The object type, which will be "list" + data: + type: array + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + description: List of embedding data objects + model: + type: string + description: >- + The model that was used to generate the embeddings + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + description: Usage information + additionalProperties: false + required: + - object + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: >- + Response from an OpenAI-compatible embeddings request. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: >- + Valid purpose values for OpenAI Files API. + ListOpenAIFileResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIFileObject' + description: List of file objects + has_more: + type: boolean + description: >- + Whether there are more files available beyond this page + first_id: + type: string + description: >- + ID of the first file in the list for pagination + last_id: + type: string + description: >- + ID of the last file in the list for pagination + object: + type: string + const: list + default: list + description: The object type, which is always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIFileResponse + description: >- + Response for listing files in OpenAI Files API. + OpenAIFileObject: + type: object + properties: + object: + type: string + const: file + default: file + description: The object type, which is always "file" + id: + type: string + description: >- + The file identifier, which can be referenced in the API endpoints + bytes: + type: integer + description: The size of the file, in bytes + created_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file was created + expires_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file expires + filename: + type: string + description: The name of the file + purpose: + type: string + enum: + - assistants + - batch + description: The intended purpose of the file + additionalProperties: false + required: + - object + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: >- + OpenAI File object as defined in the OpenAI Files API. + ExpiresAfter: + type: object + properties: + anchor: + type: string + const: created_at + seconds: + type: integer + additionalProperties: false + required: + - anchor + - seconds + title: ExpiresAfter + description: >- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + OpenAIFileDeleteResponse: + type: object + properties: + id: + type: string + description: The file identifier that was deleted + object: + type: string + const: file + default: file + description: The object type, which is always "file" + deleted: + type: boolean + description: >- + Whether the file was successfully deleted + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIFileDeleteResponse + description: >- + Response for deleting a file in OpenAI Files API. + Response: + type: object + title: Response + HealthInfo: + type: object + properties: + status: + type: string + enum: + - OK + - Error + - Not Implemented + description: Current health status of the service + additionalProperties: false + required: + - status + title: HealthInfo + description: >- + Health status information for the service. + RouteInfo: + type: object + properties: + route: + type: string + description: The API endpoint path + method: + type: string + description: HTTP method for the route + provider_types: + type: array + items: + type: string + description: >- + List of provider types that implement this route + additionalProperties: false + required: + - route + - method + - provider_types + title: RouteInfo + description: >- + Information about an API route including its path, method, and implementing + providers. + ListRoutesResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/RouteInfo' + description: >- + List of available route information objects + additionalProperties: false + required: + - data + title: ListRoutesResponse + description: >- + Response containing a list of all available API routes. + Model: + type: object + properties: + identifier: + type: string + description: >- + Unique identifier for this resource in llama stack + provider_resource_id: + type: string + description: >- + Unique identifier for this resource in the provider + provider_id: + type: string + description: >- + ID of the provider that owns this resource + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: model + default: model + description: >- + The resource type, always 'model' for model resources + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + description: >- + The type of model (LLM or embedding model) + additionalProperties: false + required: + - identifier + - provider_id + - type + - metadata + - model_type + title: Model + description: >- + A model resource representing an AI model registered in Llama Stack. + ModelType: + type: string + enum: + - llm + - embedding + title: ModelType + description: >- + Enumeration of supported model types in Llama Stack. + ListModelsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Model' + additionalProperties: false + required: + - data + title: ListModelsResponse + RegisterModelRequest: + type: object + properties: + model_id: + type: string + description: The identifier of the model to register. + provider_model_id: + type: string + description: >- + The identifier of the model in the provider. + provider_id: + type: string + description: The identifier of the provider. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Any additional metadata for this model. + model_type: + $ref: '#/components/schemas/ModelType' + description: The type of model to register. + additionalProperties: false + required: + - model_id + title: RegisterModelRequest + RunModerationRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input (or inputs) to classify. Can be a single string, an array of strings, + or an array of multi-modal input objects similar to other models. + model: + type: string + description: >- + The content moderation model you would like to use. + additionalProperties: false + required: + - input + - model + title: RunModerationRequest + ModerationObject: + type: object + properties: + id: + type: string + description: >- + The unique identifier for the moderation request. + model: + type: string + description: >- + The model used to generate the moderation results. + results: + type: array + items: + $ref: '#/components/schemas/ModerationObjectResults' + description: A list of moderation objects + additionalProperties: false + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + type: object + properties: + flagged: + type: boolean + description: >- + Whether any of the below categories are flagged. + categories: + type: object + additionalProperties: + type: boolean + description: >- + A list of the categories, and whether they are flagged or not. + category_applied_input_types: + type: object + additionalProperties: + type: array + items: + type: string + description: >- + A list of the categories along with the input type(s) that the score applies + to. + category_scores: + type: object + additionalProperties: + type: number + description: >- + A list of the categories along with their scores as predicted by model. + user_message: + type: string + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - flagged + - metadata + title: ModerationObjectResults + description: A moderation object. + Prompt: + type: object + properties: + prompt: + type: string + description: >- + The system prompt text with variable placeholders. Variables are only + supported when using the Responses API. + version: + type: integer + description: >- + Version (integer starting at 1, incremented on save) + prompt_id: + type: string + description: >- + Unique identifier formatted as 'pmpt_<48-digit-hash>' + variables: + type: array + items: + type: string + description: >- + List of prompt variable names that can be used in the prompt template + is_default: + type: boolean + default: false + description: >- + Boolean indicating whether this version is the default version for this + prompt + additionalProperties: false + required: + - version + - prompt_id + - variables + - is_default + title: Prompt + description: >- + A prompt resource representing a stored OpenAI Compatible prompt template + in Llama Stack. + ListPromptsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Prompt' + additionalProperties: false + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + CreatePromptRequest: + type: object + properties: + prompt: + type: string + description: >- + The prompt text content with variable placeholders. + variables: + type: array + items: + type: string + description: >- + List of variable names that can be used in the prompt template. + additionalProperties: false + required: + - prompt + title: CreatePromptRequest + UpdatePromptRequest: + type: object + properties: + prompt: + type: string + description: The updated prompt text content. + version: + type: integer + description: >- + The current version of the prompt being updated. + variables: + type: array + items: + type: string + description: >- + Updated list of variable names that can be used in the prompt template. + set_as_default: + type: boolean + description: >- + Set the new version as the default (default=True). + additionalProperties: false + required: + - prompt + - version + - set_as_default + title: UpdatePromptRequest + SetDefaultVersionRequest: + type: object + properties: + version: + type: integer + description: The version to set as default. + additionalProperties: false + required: + - version + title: SetDefaultVersionRequest + ProviderInfo: + type: object + properties: + api: + type: string + description: The API name this provider implements + provider_id: + type: string + description: Unique identifier for the provider + provider_type: + type: string + description: The type of provider implementation + config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Configuration parameters for the provider + health: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Current health status of the provider + additionalProperties: false + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: >- + Information about a registered provider including its configuration and health + status. + ListProvidersResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ProviderInfo' + description: List of provider information objects + additionalProperties: false + required: + - data + title: ListProvidersResponse + description: >- + Response containing a list of all available providers. + ListOpenAIResponseObject: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + description: >- + List of response objects with their input context + has_more: + type: boolean + description: >- + Whether there are more results available beyond this page + first_id: + type: string + description: >- + Identifier of the first item in this page + last_id: + type: string + description: Identifier of the last item in this page + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIResponseObject + description: >- + Paginated list of OpenAI response objects with navigation metadata. + OpenAIResponseError: + type: object + properties: + code: + type: string + description: >- + Error code identifying the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: OpenAIResponseError + description: >- + Error details for failed OpenAI response requests. + OpenAIResponseInput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMessage' + OpenAIResponseInputToolFileSearch: + type: object + properties: + type: + type: string + const: file_search + default: file_search + description: >- + Tool type identifier, always "file_search" + vector_store_ids: + type: array + items: + type: string + description: >- + List of vector store identifiers to search within + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional filters to apply to the search + max_num_results: + type: integer + default: 10 + description: >- + (Optional) Maximum number of search results to return (1-50) + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + (Optional) Options for ranking and scoring search results + additionalProperties: false + required: + - type + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: >- + File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + type: object + properties: + type: + type: string + const: function + default: function + description: Tool type identifier, always "function" + name: + type: string + description: Name of the function that can be called + description: + type: string + description: >- + (Optional) Description of what the function does + parameters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON schema defining the function's parameters + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict parameter validation + additionalProperties: false + required: + - type + - name + title: OpenAIResponseInputToolFunction + description: >- + Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + type: object + properties: + type: + oneOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + default: web_search + description: Web search tool type variant to use + search_context_size: + type: string + default: medium + description: >- + (Optional) Size of search context, must be "low", "medium", or "high" + additionalProperties: false + required: + - type + title: OpenAIResponseInputToolWebSearch + description: >- + Web search tool configuration for OpenAI response inputs. + OpenAIResponseObjectWithInput: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + input: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: >- + List of input items that led to this response + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + - input + title: OpenAIResponseObjectWithInput + description: >- + OpenAI response object extended with input context information. + OpenAIResponseOutput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + OpenAIResponseText: + type: object + properties: + format: + type: object + properties: + type: + oneOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + description: >- + Must be "text", "json_schema", or "json_object" to identify the format + type + name: + type: string + description: >- + The name of the response format. Only used for json_schema. + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. Only used for json_schema. + description: + type: string + description: >- + (Optional) A description of the response format. Only used for json_schema. + strict: + type: boolean + description: >- + (Optional) Whether to strictly enforce the JSON schema. If true, the + response must match the schema exactly. Only used for json_schema. + additionalProperties: false + required: + - type + description: >- + (Optional) Text format configuration specifying output format requirements + additionalProperties: false + title: OpenAIResponseText + description: >- + Text response configuration for OpenAI responses. + OpenAIResponseTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + title: OpenAIResponseToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + type: object + properties: + input_tokens: + type: integer + description: Number of tokens in the input + output_tokens: + type: integer + description: Number of tokens in the output + total_tokens: + type: integer + description: Total tokens used (input + output) + input_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + description: Detailed breakdown of input token usage + output_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + description: Detailed breakdown of output token usage + additionalProperties: false + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + ResponseGuardrailSpec: + type: object + properties: + type: + type: string + description: The type/identifier of the guardrail. + additionalProperties: false + required: + - type + title: ResponseGuardrailSpec + description: >- + Specification for a guardrail to apply during response generation. + OpenAIResponseInputTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseInputToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + server_url: + type: string + description: URL endpoint of the MCP server + headers: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) HTTP headers to include when connecting to the server + require_approval: + oneOf: + - type: string + const: always + - type: string + const: never + - type: object + properties: + always: + type: array + items: + type: string + description: >- + (Optional) List of tool names that always require approval + never: + type: array + items: + type: string + description: >- + (Optional) List of tool names that never require approval + additionalProperties: false + title: ApprovalFilter + description: >- + Filter configuration for MCP tool approval requirements. + default: never + description: >- + Approval requirement for tool calls ("always", "never", or filter) + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + - server_url + - require_approval + title: OpenAIResponseInputToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + CreateOpenaiResponseRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: Input message(s) to create the response. + model: + type: string + description: The underlying LLM used for completions. + instructions: + type: string + previous_response_id: + type: string + description: >- + (Optional) if specified, the new response will be a continuation of the + previous response. This can be used to easily fork-off new responses from + existing responses. + conversation: + type: string + description: >- + (Optional) The ID of a conversation to add the response to. Must begin + with 'conv_'. Input and output messages will be automatically added to + the conversation. + store: + type: boolean + stream: + type: boolean + temperature: + type: number + text: + $ref: '#/components/schemas/OpenAIResponseText' + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputTool' + include: + type: array + items: + type: string + description: >- + (Optional) Additional fields to include in the response. + max_infer_iters: + type: integer + additionalProperties: false + required: + - input + - model + title: CreateOpenaiResponseRequest + OpenAIResponseObject: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + title: OpenAIResponseObject + description: >- + Complete OpenAI response object containing generation results and metadata. + OpenAIResponseContentPartOutputText: + type: object + properties: + type: + type: string + const: output_text + default: output_text + description: >- + Content part type identifier, always "output_text" + text: + type: string + description: Text emitted for this content part + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + description: >- + Structured annotations associated with the text + logprobs: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) Token log probability details + additionalProperties: false + required: + - type + - text + - annotations + title: OpenAIResponseContentPartOutputText + description: >- + Text content within a streamed response part. + "OpenAIResponseContentPartReasoningSummary": + type: object + properties: + type: + type: string + const: summary_text + default: summary_text + description: >- + Content part type identifier, always "summary_text" + text: + type: string + description: Summary text + additionalProperties: false + required: + - type + - text + title: >- + OpenAIResponseContentPartReasoningSummary + description: >- + Reasoning summary part in a streamed response. + OpenAIResponseContentPartReasoningText: + type: object + properties: + type: + type: string + const: reasoning_text + default: reasoning_text + description: >- + Content part type identifier, always "reasoning_text" + text: + type: string + description: Reasoning text supplied by the model + additionalProperties: false + required: + - type + - text + title: OpenAIResponseContentPartReasoningText + description: >- + Reasoning text emitted as part of a streamed response. + OpenAIResponseObjectStream: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + discriminator: + propertyName: type + mapping: + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + "OpenAIResponseObjectStreamResponseCompleted": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Completed response object + type: + type: string + const: response.completed + default: response.completed + description: >- + Event type identifier, always "response.completed" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCompleted + description: >- + Streaming event indicating a response has been completed. + "OpenAIResponseObjectStreamResponseContentPartAdded": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The content part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.added + default: response.content_part.added + description: >- + Event type identifier, always "response.content_part.added" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartAdded + description: >- + Streaming event for when a new content part is added to a response item. + "OpenAIResponseObjectStreamResponseContentPartDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The completed content part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.done + default: response.content_part.done + description: >- + Event type identifier, always "response.content_part.done" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartDone + description: >- + Streaming event for when a content part is completed. + "OpenAIResponseObjectStreamResponseCreated": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: The response object that was created + type: + type: string + const: response.created + default: response.created + description: >- + Event type identifier, always "response.created" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCreated + description: >- + Streaming event indicating a new response has been created. + OpenAIResponseObjectStreamResponseFailed: + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Response object describing the failure + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.failed + default: response.failed + description: >- + Event type identifier, always "response.failed" + additionalProperties: false + required: + - response + - sequence_number + - type + title: OpenAIResponseObjectStreamResponseFailed + description: >- + Streaming event emitted when a response fails. + "OpenAIResponseObjectStreamResponseFileSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.completed + default: response.file_search_call.completed + description: >- + Event type identifier, always "response.file_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallCompleted + description: >- + Streaming event for completed file search calls. + "OpenAIResponseObjectStreamResponseFileSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + description: >- + Event type identifier, always "response.file_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallInProgress + description: >- + Streaming event for file search calls in progress. + "OpenAIResponseObjectStreamResponseFileSearchCallSearching": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.searching + default: response.file_search_call.searching + description: >- + Event type identifier, always "response.file_search_call.searching" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallSearching + description: >- + Streaming event for file search currently searching. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta": + type: object + properties: + delta: + type: string + description: >- + Incremental function call arguments being added + item_id: + type: string + description: >- + Unique identifier of the function call being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + description: >- + Event type identifier, always "response.function_call_arguments.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + description: >- + Streaming event for incremental function call argument updates. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone": + type: object + properties: + arguments: + type: string + description: >- + Final complete arguments JSON string for the function call + item_id: + type: string + description: >- + Unique identifier of the completed function call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.done + default: response.function_call_arguments.done + description: >- + Event type identifier, always "response.function_call_arguments.done" + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + description: >- + Streaming event for when function call arguments are completed. + "OpenAIResponseObjectStreamResponseInProgress": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Current response state while in progress + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.in_progress + default: response.in_progress + description: >- + Event type identifier, always "response.in_progress" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseInProgress + description: >- + Streaming event indicating the response remains in progress. + "OpenAIResponseObjectStreamResponseIncomplete": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: >- + Response object describing the incomplete state + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.incomplete + default: response.incomplete + description: >- + Event type identifier, always "response.incomplete" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseIncomplete + description: >- + Streaming event emitted when a response ends in an incomplete state. + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta": + type: object + properties: + delta: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDone": + type: object + properties: + arguments: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + "OpenAIResponseObjectStreamResponseMcpCallCompleted": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.completed + default: response.mcp_call.completed + description: >- + Event type identifier, always "response.mcp_call.completed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallCompleted + description: Streaming event for completed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallFailed": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.failed + default: response.mcp_call.failed + description: >- + Event type identifier, always "response.mcp_call.failed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallFailed + description: Streaming event for failed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the MCP call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + description: >- + Event type identifier, always "response.mcp_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallInProgress + description: >- + Streaming event for MCP calls in progress. + "OpenAIResponseObjectStreamResponseMcpListToolsCompleted": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsCompleted + "OpenAIResponseObjectStreamResponseMcpListToolsFailed": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsFailed + "OpenAIResponseObjectStreamResponseMcpListToolsInProgress": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsInProgress + "OpenAIResponseObjectStreamResponseOutputItemAdded": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The output item that was added (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.added + default: response.output_item.added + description: >- + Event type identifier, always "response.output_item.added" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemAdded + description: >- + Streaming event for when a new output item is added to the response. + "OpenAIResponseObjectStreamResponseOutputItemDone": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The completed output item (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.done + default: response.output_item.done + description: >- + Event type identifier, always "response.output_item.done" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemDone + description: >- + Streaming event for when an output item is completed. + "OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the item to which the annotation is being added + output_index: + type: integer + description: >- + Index position of the output item in the response's output array + content_index: + type: integer + description: >- + Index position of the content part within the output item + annotation_index: + type: integer + description: >- + Index of the annotation within the content part + annotation: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + description: The annotation object being added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.annotation.added + default: response.output_text.annotation.added + description: >- + Event type identifier, always "response.output_text.annotation.added" + additionalProperties: false + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + description: >- + Streaming event for when an annotation is added to output text. + "OpenAIResponseObjectStreamResponseOutputTextDelta": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + delta: + type: string + description: Incremental text content being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.delta + default: response.output_text.delta + description: >- + Event type identifier, always "response.output_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDelta + description: >- + Streaming event for incremental text content updates. + "OpenAIResponseObjectStreamResponseOutputTextDone": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + text: + type: string + description: >- + Final complete text content of the output item + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.done + default: response.output_text.done + description: >- + Event type identifier, always "response.output_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDone + description: >- + Streaming event for when text output is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The summary part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + description: >- + Event type identifier, always "response.reasoning_summary_part.added" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + description: >- + Streaming event for when a new reasoning summary part is added. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartDone": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The completed summary part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + description: >- + Event type identifier, always "response.reasoning_summary_part.done" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + description: >- + Streaming event for when a reasoning summary part is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta": + type: object + properties: + delta: + type: string + description: Incremental summary text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + description: >- + Event type identifier, always "response.reasoning_summary_text.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + description: >- + Streaming event for incremental reasoning summary text updates. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDone": + type: object + properties: + text: + type: string + description: Final complete summary text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + description: >- + Event type identifier, always "response.reasoning_summary_text.done" + additionalProperties: false + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + description: >- + Streaming event for when reasoning summary text is completed. + "OpenAIResponseObjectStreamResponseReasoningTextDelta": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + delta: + type: string + description: Incremental reasoning text being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.delta + default: response.reasoning_text.delta + description: >- + Event type identifier, always "response.reasoning_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDelta + description: >- + Streaming event for incremental reasoning text updates. + "OpenAIResponseObjectStreamResponseReasoningTextDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + text: + type: string + description: Final complete reasoning text + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.done + default: response.reasoning_text.done + description: >- + Event type identifier, always "response.reasoning_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDone + description: >- + Streaming event for when reasoning text is completed. + "OpenAIResponseObjectStreamResponseRefusalDelta": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + delta: + type: string + description: Incremental refusal text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.delta + default: response.refusal.delta + description: >- + Event type identifier, always "response.refusal.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDelta + description: >- + Streaming event for incremental refusal text updates. + "OpenAIResponseObjectStreamResponseRefusalDone": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + refusal: + type: string + description: Final complete refusal text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.done + default: response.refusal.done + description: >- + Event type identifier, always "response.refusal.done" + additionalProperties: false + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDone + description: >- + Streaming event for when refusal text is completed. + "OpenAIResponseObjectStreamResponseWebSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.completed + default: response.web_search_call.completed + description: >- + Event type identifier, always "response.web_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallCompleted + description: >- + Streaming event for completed web search calls. + "OpenAIResponseObjectStreamResponseWebSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + description: >- + Event type identifier, always "response.web_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallInProgress + description: >- + Streaming event for web search calls in progress. + "OpenAIResponseObjectStreamResponseWebSearchCallSearching": + type: object + properties: + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.web_search_call.searching + default: response.web_search_call.searching + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallSearching + OpenAIDeleteResponseObject: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted response + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + deleted: + type: boolean + default: true + description: Deletion confirmation flag, always True + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIDeleteResponseObject + description: >- + Response object confirming deletion of an OpenAI response. + ListOpenAIResponseInputItem: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: List of input items + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - object + title: ListOpenAIResponseInputItem + description: >- + List container for OpenAI response input items. + RunShieldRequest: + type: object + properties: + shield_id: + type: string + description: The identifier of the shield to run. + messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + description: The messages to run the shield on. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the shield. + additionalProperties: false + required: + - shield_id + - messages + - params + title: RunShieldRequest + RunShieldResponse: + type: object + properties: + violation: + $ref: '#/components/schemas/SafetyViolation' + description: >- + (Optional) Safety violation detected by the shield, if any + additionalProperties: false + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + type: object + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + description: Severity level of the violation + user_message: + type: string + description: >- + (Optional) Message to convey to the user about the violation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata including specific violation codes for debugging and + telemetry + additionalProperties: false + required: + - violation_level + - metadata + title: SafetyViolation + description: >- + Details of a safety violation detected by content moderation. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + AgentTurnInputType: + type: object + properties: + type: + type: string + const: agent_turn_input + default: agent_turn_input + description: >- + Discriminator type. Always "agent_turn_input" + additionalProperties: false + required: + - type + title: AgentTurnInputType + description: Parameter type for agent turn input. + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: >- + Types of aggregation functions for scoring results. + ArrayType: + type: object + properties: + type: + type: string + const: array + default: array + description: Discriminator type. Always "array" + additionalProperties: false + required: + - type + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: basic + default: basic + description: >- + The type of scoring function parameters, always basic + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - aggregation_functions + title: BasicScoringFnParams + description: >- + Parameters for basic scoring function configuration. + BooleanType: + type: object + properties: + type: + type: string + const: boolean + default: boolean + description: Discriminator type. Always "boolean" + additionalProperties: false + required: + - type + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + type: object + properties: + type: + type: string + const: chat_completion_input + default: chat_completion_input + description: >- + Discriminator type. Always "chat_completion_input" + additionalProperties: false + required: + - type + title: ChatCompletionInputType + description: >- + Parameter type for chat completion input. + CompletionInputType: + type: object + properties: + type: + type: string + const: completion_input + default: completion_input + description: >- + Discriminator type. Always "completion_input" + additionalProperties: false + required: + - type + title: CompletionInputType + description: Parameter type for completion input. + JsonType: + type: object + properties: + type: + type: string + const: json + default: json + description: Discriminator type. Always "json" + additionalProperties: false + required: + - type + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: llm_as_judge + default: llm_as_judge + description: >- + The type of scoring function parameters, always llm_as_judge + judge_model: + type: string + description: >- + Identifier of the LLM model to use as a judge for scoring + prompt_template: + type: string + description: >- + (Optional) Custom prompt template for the judge model + judge_score_regexes: + type: array + items: + type: string + description: >- + Regexes to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - judge_model + - judge_score_regexes + - aggregation_functions + title: LLMAsJudgeScoringFnParams + description: >- + Parameters for LLM-as-judge scoring function configuration. + NumberType: + type: object + properties: + type: + type: string + const: number + default: number + description: Discriminator type. Always "number" + additionalProperties: false + required: + - type + title: NumberType + description: Parameter type for numeric values. + ObjectType: + type: object + properties: + type: + type: string + const: object + default: object + description: Discriminator type. Always "object" + additionalProperties: false + required: + - type + title: ObjectType + description: Parameter type for object values. + RegexParserScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: regex_parser + default: regex_parser + description: >- + The type of scoring function parameters, always regex_parser + parsing_regexes: + type: array + items: + type: string + description: >- + Regex to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - parsing_regexes + - aggregation_functions + title: RegexParserScoringFnParams + description: >- + Parameters for regex parser scoring function configuration. + ScoringFn: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: scoring_function + default: scoring_function + description: >- + The resource type, always scoring_function + description: + type: string + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + - $ref: '#/components/schemas/AgentTurnInputType' + discriminator: + propertyName: type + mapping: + string: '#/components/schemas/StringType' + number: '#/components/schemas/NumberType' + boolean: '#/components/schemas/BooleanType' + array: '#/components/schemas/ArrayType' + object: '#/components/schemas/ObjectType' + json: '#/components/schemas/JsonType' + union: '#/components/schemas/UnionType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + agent_turn_input: '#/components/schemas/AgentTurnInputType' + params: + $ref: '#/components/schemas/ScoringFnParams' + additionalProperties: false + required: + - identifier + - provider_id + - type + - metadata + - return_type + title: ScoringFn + description: >- + A scoring function resource for evaluating model outputs. + ScoringFnParams: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + basic: '#/components/schemas/BasicScoringFnParams' + ScoringFnParamsType: + type: string + enum: + - llm_as_judge + - regex_parser + - basic + title: ScoringFnParamsType + description: >- + Types of scoring function parameter configurations. + StringType: + type: object + properties: + type: + type: string + const: string + default: string + description: Discriminator type. Always "string" + additionalProperties: false + required: + - type + title: StringType + description: Parameter type for string values. + UnionType: + type: object + properties: + type: + type: string + const: union + default: union + description: Discriminator type. Always "union" + additionalProperties: false + required: + - type + title: UnionType + description: Parameter type for union values. + ListScoringFunctionsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ScoringFn' + additionalProperties: false + required: + - data + title: ListScoringFunctionsResponse + ParamType: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + - $ref: '#/components/schemas/AgentTurnInputType' + discriminator: + propertyName: type + mapping: + string: '#/components/schemas/StringType' + number: '#/components/schemas/NumberType' + boolean: '#/components/schemas/BooleanType' + array: '#/components/schemas/ArrayType' + object: '#/components/schemas/ObjectType' + json: '#/components/schemas/JsonType' + union: '#/components/schemas/UnionType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + agent_turn_input: '#/components/schemas/AgentTurnInputType' + RegisterScoringFunctionRequest: + type: object + properties: + scoring_fn_id: + type: string + description: >- + The ID of the scoring function to register. + description: + type: string + description: The description of the scoring function. + return_type: + $ref: '#/components/schemas/ParamType' + description: The return type of the scoring function. + provider_scoring_fn_id: + type: string + description: >- + The ID of the provider scoring function to use for the scoring function. + provider_id: + type: string + description: >- + The ID of the provider to use for the scoring function. + params: + $ref: '#/components/schemas/ScoringFnParams' + description: >- + The parameters for the scoring function for benchmark eval, these can + be overridden for app eval. + additionalProperties: false + required: + - scoring_fn_id + - description + - return_type + title: RegisterScoringFunctionRequest + ScoreRequest: + type: object + properties: + input_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to score. + scoring_functions: + type: object + additionalProperties: + oneOf: + - $ref: '#/components/schemas/ScoringFnParams' + - type: 'null' + description: >- + The scoring functions to use for the scoring. + additionalProperties: false + required: + - input_rows + - scoring_functions + title: ScoreRequest + ScoreResponse: + type: object + properties: + results: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: >- + A map of scoring function name to ScoringResult. + additionalProperties: false + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringResult: + type: object + properties: + score_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The scoring result for each row. Each row is a map of column name to value. + aggregated_results: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Map of metric name to aggregated value + additionalProperties: false + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + ScoreBatchRequest: + type: object + properties: + dataset_id: + type: string + description: The ID of the dataset to score. + scoring_functions: + type: object + additionalProperties: + oneOf: + - $ref: '#/components/schemas/ScoringFnParams' + - type: 'null' + description: >- + The scoring functions to use for the scoring. + save_results_dataset: + type: boolean + description: >- + Whether to save the results to a dataset. + additionalProperties: false + required: + - dataset_id + - scoring_functions + - save_results_dataset + title: ScoreBatchRequest + ScoreBatchResponse: + type: object + properties: + dataset_id: + type: string + description: >- + (Optional) The identifier of the dataset that was scored + results: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: >- + A map of scoring function name to ScoringResult + additionalProperties: false + required: + - results + title: ScoreBatchResponse + description: >- + Response from batch scoring operations on datasets. + Shield: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: shield + default: shield + description: The resource type, always shield + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Configuration parameters for the shield + additionalProperties: false + required: + - identifier + - provider_id + - type + title: Shield + description: >- + A safety shield resource that can be used to check content. + ListShieldsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Shield' + additionalProperties: false + required: + - data + title: ListShieldsResponse + RegisterShieldRequest: + type: object + properties: + shield_id: + type: string + description: >- + The identifier of the shield to register. + provider_shield_id: + type: string + description: >- + The identifier of the shield in the provider. + provider_id: + type: string + description: The identifier of the provider. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the shield. + additionalProperties: false + required: + - shield_id + title: RegisterShieldRequest + CompletionMessage: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + $ref: '#/components/schemas/InterleavedContent' + description: The content of the model's response + stop_reason: + type: string + enum: + - end_of_turn + - end_of_message + - out_of_tokens + description: >- + Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: + The model finished generating the entire response. - `StopReason.end_of_message`: + The model finished generating but generated a partial response -- usually, + a tool call. The user may call the tool and continue the conversation + with the tool's response. - `StopReason.out_of_tokens`: The model ran + out of token budget. + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: >- + List of tool calls. Each tool call is a ToolCall object. + additionalProperties: false + required: + - role + - content + - stop_reason + title: CompletionMessage + description: >- + A message containing the model's (assistant) response in a chat conversation. + ImageContentItem: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the content item. Always "image" + image: + type: object + properties: + url: + $ref: '#/components/schemas/URL' + description: >- + A URL of the image or data URL in the format of data:image/{type};base64,{data}. + Note that URL could have length limits. + data: + type: string + contentEncoding: base64 + description: base64 encoded image data as string + additionalProperties: false + description: >- + Image as a base64 encoded string or an URL + additionalProperties: false + required: + - type + - image + title: ImageContentItem + description: A image content item + InterleavedContent: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + InterleavedContentItem: + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + Message: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/UserMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + assistant: '#/components/schemas/CompletionMessage' + SystemMessage: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + additionalProperties: false + required: + - role + - content + title: SystemMessage + description: >- + A system message providing instructions or context to the model. + TextContentItem: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the content item. Always "text" + text: + type: string + description: Text content + additionalProperties: false + required: + - type + - text + title: TextContentItem + description: A text content item + ToolCall: + type: object + properties: + call_id: + type: string + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + arguments: + type: string + additionalProperties: false + required: + - call_id + - tool_name + - arguments + title: ToolCall + ToolResponseMessage: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + additionalProperties: false + required: + - role + - call_id + - content + title: ToolResponseMessage + description: >- + A message representing the result of a tool invocation. + URL: + type: object + properties: + uri: + type: string + description: The URL string pointing to the resource + additionalProperties: false + required: + - uri + title: URL + description: A URL reference to external content. + UserMessage: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the message, which can include text and other media + context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) This field is used internally by Llama Stack to pass RAG context. + This field may be removed in the API in the future. + additionalProperties: false + required: + - role + - content + title: UserMessage + description: >- + A message from the user in a chat conversation. + SyntheticDataGenerateRequest: + type: object + properties: + dialogs: + type: array + items: + $ref: '#/components/schemas/Message' + description: >- + List of conversation messages to use as input for synthetic data generation + filtering_function: + type: string + enum: + - none + - random + - top_k + - top_p + - top_k_top_p + - sigmoid + description: >- + Type of filtering to apply to generated synthetic data samples + model: + type: string + description: >- + (Optional) The identifier of the model to use. The model must be registered + with Llama Stack and available via the /models endpoint + additionalProperties: false + required: + - dialogs + - filtering_function + title: SyntheticDataGenerateRequest + SyntheticDataGenerationResponse: + type: object + properties: + synthetic_data: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + List of generated synthetic data samples that passed the filtering criteria + statistics: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Statistical information about the generation process and filtering + results + additionalProperties: false + required: + - synthetic_data + title: SyntheticDataGenerationResponse + description: >- + Response from the synthetic data generation. Batch of (prompt, response, score) + tuples that pass the threshold. + InvokeToolRequest: + type: object + properties: + tool_name: + type: string + description: The name of the tool to invoke. + kwargs: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + A dictionary of arguments to pass to the tool. + additionalProperties: false + required: + - tool_name + - kwargs + title: InvokeToolRequest + ToolInvocationResult: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) The output content from the tool execution + error_message: + type: string + description: >- + (Optional) Error message if the tool execution failed + error_code: + type: integer + description: >- + (Optional) Numeric error code if the tool execution failed + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool execution + additionalProperties: false + title: ToolInvocationResult + description: Result of a tool invocation. + ToolDef: + type: object + properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Human-readable description of what the tool does + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool + additionalProperties: false + required: + - name + title: ToolDef + description: >- + Tool definition used in runtime contexts. + ListToolDefsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ToolDef' + description: List of tool definitions + additionalProperties: false + required: + - data + title: ListToolDefsResponse + description: >- + Response containing a list of tool definitions. + RAGDocument: + type: object + properties: + document_id: + type: string + description: The unique identifier for the document. + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the document. + mime_type: + type: string + description: The MIME type of the document. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Additional metadata for the document. + additionalProperties: false + required: + - document_id + - content + - metadata + title: RAGDocument + description: >- + A document to be used for document ingestion in the RAG Tool. + InsertRequest: + type: object + properties: + documents: + type: array + items: + $ref: '#/components/schemas/RAGDocument' + description: >- + List of documents to index in the RAG system + vector_db_id: + type: string + description: >- + ID of the vector database to store the document embeddings + chunk_size_in_tokens: + type: integer + description: >- + (Optional) Size in tokens for document chunking during indexing + additionalProperties: false + required: + - documents + - vector_db_id + - chunk_size_in_tokens + title: InsertRequest + DefaultRAGQueryGeneratorConfig: + type: object + properties: + type: + type: string + const: default + default: default + description: >- + Type of query generator, always 'default' + separator: + type: string + default: ' ' + description: >- + String separator used to join query terms + additionalProperties: false + required: + - type + - separator + title: DefaultRAGQueryGeneratorConfig + description: >- + Configuration for the default RAG query generator. + LLMRAGQueryGeneratorConfig: + type: object + properties: + type: + type: string + const: llm + default: llm + description: Type of query generator, always 'llm' + model: + type: string + description: >- + Name of the language model to use for query generation + template: + type: string + description: >- + Template string for formatting the query generation prompt + additionalProperties: false + required: + - type + - model + - template + title: LLMRAGQueryGeneratorConfig + description: >- + Configuration for the LLM-based RAG query generator. + RAGQueryConfig: + type: object + properties: + query_generator_config: + oneOf: + - $ref: '#/components/schemas/DefaultRAGQueryGeneratorConfig' + - $ref: '#/components/schemas/LLMRAGQueryGeneratorConfig' + discriminator: + propertyName: type + mapping: + default: '#/components/schemas/DefaultRAGQueryGeneratorConfig' + llm: '#/components/schemas/LLMRAGQueryGeneratorConfig' + description: Configuration for the query generator. + max_tokens_in_context: + type: integer + default: 4096 + description: Maximum number of tokens in the context. + max_chunks: + type: integer + default: 5 + description: Maximum number of chunks to retrieve. + chunk_template: + type: string + default: > + Result {index} + + Content: {chunk.content} + + Metadata: {metadata} + description: >- + Template for formatting each retrieved chunk in the context. Available + placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk + content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent: + {chunk.content}\nMetadata: {metadata}\n" + mode: + $ref: '#/components/schemas/RAGSearchMode' + default: vector + description: >- + Search mode for retrieval—either "vector", "keyword", or "hybrid". Default + "vector". + ranker: + $ref: '#/components/schemas/Ranker' + description: >- + Configuration for the ranker to use in hybrid search. Defaults to RRF + ranker. + additionalProperties: false + required: + - query_generator_config + - max_tokens_in_context + - max_chunks + - chunk_template + title: RAGQueryConfig + description: >- + Configuration for the RAG query generation. + RAGSearchMode: + type: string + enum: + - vector + - keyword + - hybrid + title: RAGSearchMode + description: >- + Search modes for RAG query retrieval: - VECTOR: Uses vector similarity search + for semantic matching - KEYWORD: Uses keyword-based search for exact matching + - HYBRID: Combines both vector and keyword search for better results + RRFRanker: + type: object + properties: + type: + type: string + const: rrf + default: rrf + description: The type of ranker, always "rrf" + impact_factor: + type: number + default: 60.0 + description: >- + The impact factor for RRF scoring. Higher values give more weight to higher-ranked + results. Must be greater than 0 + additionalProperties: false + required: + - type + - impact_factor + title: RRFRanker + description: >- + Reciprocal Rank Fusion (RRF) ranker configuration. + Ranker: + oneOf: + - $ref: '#/components/schemas/RRFRanker' + - $ref: '#/components/schemas/WeightedRanker' + discriminator: + propertyName: type + mapping: + rrf: '#/components/schemas/RRFRanker' + weighted: '#/components/schemas/WeightedRanker' + WeightedRanker: + type: object + properties: + type: + type: string + const: weighted + default: weighted + description: The type of ranker, always "weighted" + alpha: + type: number + default: 0.5 + description: >- + Weight factor between 0 and 1. 0 means only use keyword scores, 1 means + only use vector scores, values in between blend both scores. + additionalProperties: false + required: + - type + - alpha + title: WeightedRanker + description: >- + Weighted ranker configuration that combines vector and keyword scores. + QueryRequest: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The query content to search for in the indexed documents + vector_db_ids: + type: array + items: + type: string + description: >- + List of vector database IDs to search within + query_config: + $ref: '#/components/schemas/RAGQueryConfig' + description: >- + (Optional) Configuration parameters for the query operation + additionalProperties: false + required: + - content + - vector_db_ids + title: QueryRequest + RAGQueryResult: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) The retrieved content from the query + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata about the query result + additionalProperties: false + required: + - metadata + title: RAGQueryResult + description: >- + Result of a RAG query containing retrieved content and metadata. + ToolGroup: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: tool_group + default: tool_group + description: Type of resource, always 'tool_group' + mcp_endpoint: + $ref: '#/components/schemas/URL' + description: >- + (Optional) Model Context Protocol endpoint for remote tools + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional arguments for the tool group + additionalProperties: false + required: + - identifier + - provider_id + - type + title: ToolGroup + description: >- + A group of related tools managed together. + ListToolGroupsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ToolGroup' + description: List of tool groups + additionalProperties: false + required: + - data + title: ListToolGroupsResponse + description: >- + Response containing a list of tool groups. + RegisterToolGroupRequest: + type: object + properties: + toolgroup_id: + type: string + description: The ID of the tool group to register. + provider_id: + type: string + description: >- + The ID of the provider to use for the tool group. + mcp_endpoint: + $ref: '#/components/schemas/URL' + description: >- + The MCP endpoint to use for the tool group. + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + A dictionary of arguments to pass to the tool group. + additionalProperties: false + required: + - toolgroup_id + - provider_id + title: RegisterToolGroupRequest + Chunk: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the chunk, which can be interleaved text, images, or other + types. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Metadata associated with the chunk that will be used in the model context + during inference. + embedding: + type: array + items: + type: number + description: >- + Optional embedding for the chunk. If not provided, it will be computed + later. + stored_chunk_id: + type: string + description: >- + The chunk ID that is stored in the vector database. Used for backend functionality. + chunk_metadata: + $ref: '#/components/schemas/ChunkMetadata' + description: >- + Metadata for the chunk that will NOT be used in the context during inference. + The `chunk_metadata` is required backend functionality. + additionalProperties: false + required: + - content + - metadata + title: Chunk + description: >- + A chunk of content that can be inserted into a vector database. + ChunkMetadata: + type: object + properties: + chunk_id: + type: string + description: >- + The ID of the chunk. If not set, it will be generated based on the document + ID and content. + document_id: + type: string + description: >- + The ID of the document this chunk belongs to. + source: + type: string + description: >- + The source of the content, such as a URL, file path, or other identifier. + created_timestamp: + type: integer + description: >- + An optional timestamp indicating when the chunk was created. + updated_timestamp: + type: integer + description: >- + An optional timestamp indicating when the chunk was last updated. + chunk_window: + type: string + description: >- + The window of the chunk, which can be used to group related chunks together. + chunk_tokenizer: + type: string + description: >- + The tokenizer used to create the chunk. Default is Tiktoken. + chunk_embedding_model: + type: string + description: >- + The embedding model used to create the chunk's embedding. + chunk_embedding_dimension: + type: integer + description: >- + The dimension of the embedding vector for the chunk. + content_token_count: + type: integer + description: >- + The number of tokens in the content of the chunk. + metadata_token_count: + type: integer + description: >- + The number of tokens in the metadata of the chunk. + additionalProperties: false + title: ChunkMetadata + description: >- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional + information about the chunk that will not be used in the context during + inference, but is required for backend functionality. The `ChunkMetadata` is + set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not + expected to change after. Use `Chunk.metadata` for metadata that will + be used in the context during inference. + InsertChunksRequest: + type: object + properties: + vector_db_id: + type: string + description: >- + The identifier of the vector database to insert the chunks into. + chunks: + type: array + items: + $ref: '#/components/schemas/Chunk' + description: >- + The chunks to insert. Each `Chunk` should contain content which can be + interleaved text, images, or other types. `metadata`: `dict[str, Any]` + and `embedding`: `List[float]` are optional. If `metadata` is provided, + you configure how Llama Stack formats the chunk during generation. If + `embedding` is not provided, it will be computed later. + ttl_seconds: + type: integer + description: The time to live of the chunks. + additionalProperties: false + required: + - vector_db_id + - chunks + title: InsertChunksRequest + QueryChunksRequest: + type: object + properties: + vector_db_id: + type: string + description: >- + The identifier of the vector database to query. + query: + $ref: '#/components/schemas/InterleavedContent' + description: The query to search for. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the query. + additionalProperties: false + required: + - vector_db_id + - query + title: QueryChunksRequest + QueryChunksResponse: + type: object + properties: + chunks: + type: array + items: + $ref: '#/components/schemas/Chunk' + description: >- + List of content chunks returned from the query + scores: + type: array + items: + type: number + description: >- + Relevance scores corresponding to each returned chunk + additionalProperties: false + required: + - chunks + - scores + title: QueryChunksResponse + description: >- + Response from querying chunks in a vector database. + VectorStoreFileCounts: + type: object + properties: + completed: + type: integer + description: >- + Number of files that have been successfully processed + cancelled: + type: integer + description: >- + Number of files that had their processing cancelled + failed: + type: integer + description: Number of files that failed to process + in_progress: + type: integer + description: >- + Number of files currently being processed + total: + type: integer + description: >- + Total number of files in the vector store + additionalProperties: false + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: >- + File processing status counts for a vector store. + VectorStoreListResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreObject' + description: List of vector store objects + first_id: + type: string + description: >- + (Optional) ID of the first vector store in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last vector store in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more vector stores available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListResponse + description: Response from listing vector stores. + VectorStoreObject: + type: object + properties: + id: + type: string + description: Unique identifier for the vector store + object: + type: string + default: vector_store + description: >- + Object type identifier, always "vector_store" + created_at: + type: integer + description: >- + Timestamp when the vector store was created + name: + type: string + description: (Optional) Name of the vector store + usage_bytes: + type: integer + default: 0 + description: >- + Storage space used by the vector store in bytes + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the vector store + status: + type: string + default: completed + description: Current status of the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + expires_at: + type: integer + description: >- + (Optional) Timestamp when the vector store will expire + last_active_at: + type: integer + description: >- + (Optional) Timestamp of last activity on the vector store + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + required: + - id + - object + - created_at + - usage_bytes + - file_counts + - status + - metadata + title: VectorStoreObject + description: OpenAI Vector Store object. + "OpenAICreateVectorStoreRequestWithExtraBody": + type: object + properties: + name: + type: string + description: (Optional) A name for the vector store + file_ids: + type: array + items: + type: string + description: >- + List of file IDs to include in the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + chunking_strategy: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Strategy for splitting files into chunks + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + title: >- + OpenAICreateVectorStoreRequestWithExtraBody + description: >- + Request to create a vector store with extra_body support. + OpenaiUpdateVectorStoreRequest: + type: object + properties: + name: + type: string + description: The name of the vector store. + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The expiration policy for a vector store. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of 16 key-value pairs that can be attached to an object. + additionalProperties: false + title: OpenaiUpdateVectorStoreRequest + VectorStoreDeleteResponse: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted vector store + object: + type: string + default: vector_store.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreChunkingStrategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreChunkingStrategyAuto: + type: object + properties: + type: + type: string + const: auto + default: auto + description: >- + Strategy type, always "auto" for automatic chunking + additionalProperties: false + required: + - type + title: VectorStoreChunkingStrategyAuto + description: >- + Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + type: object + properties: + type: + type: string + const: static + default: static + description: >- + Strategy type, always "static" for static chunking + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + description: >- + Configuration parameters for the static chunking strategy + additionalProperties: false + required: + - type + - static + title: VectorStoreChunkingStrategyStatic + description: >- + Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + type: object + properties: + chunk_overlap_tokens: + type: integer + default: 400 + description: >- + Number of tokens to overlap between adjacent chunks + max_chunk_size_tokens: + type: integer + default: 800 + description: >- + Maximum number of tokens per chunk, must be between 100 and 4096 + additionalProperties: false + required: + - chunk_overlap_tokens + - max_chunk_size_tokens + title: VectorStoreChunkingStrategyStaticConfig + description: >- + Configuration for static chunking strategy. + "OpenAICreateVectorStoreFileBatchRequestWithExtraBody": + type: object + properties: + file_ids: + type: array + items: + type: string + description: >- + A list of File IDs that the vector store should use + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes to store with the files + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + (Optional) The chunking strategy used to chunk the file(s). Defaults to + auto + additionalProperties: false + required: + - file_ids + title: >- + OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: >- + Request to create a vector store file batch with extra_body support. + VectorStoreFileBatchObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file batch + object: + type: string + default: vector_store.file_batch + description: >- + Object type identifier, always "vector_store.file_batch" + created_at: + type: integer + description: >- + Timestamp when the file batch was created + vector_store_id: + type: string + description: >- + ID of the vector store containing the file batch + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: >- + Current processing status of the file batch + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the batch + additionalProperties: false + required: + - id + - object + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileStatus: + oneOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + VectorStoreFileLastError: + type: object + properties: + code: + oneOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + description: >- + Error code indicating the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: VectorStoreFileLastError + description: >- + Error information for failed vector store file processing. + VectorStoreFileObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file + object: + type: string + default: vector_store.file + description: >- + Object type identifier, always "vector_store.file" + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + description: >- + Strategy used for splitting the file into chunks + created_at: + type: integer + description: >- + Timestamp when the file was added to the vector store + last_error: + $ref: '#/components/schemas/VectorStoreFileLastError' + description: >- + (Optional) Error information if file processing failed + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: Current processing status of the file + usage_bytes: + type: integer + default: 0 + description: Storage space used by this file in bytes + vector_store_id: + type: string + description: >- + ID of the vector store containing this file + additionalProperties: false + required: + - id + - object + - attributes + - chunking_strategy + - created_at + - status + - usage_bytes + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreFilesListInBatchResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: >- + List of vector store file objects in the batch + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreFilesListInBatchResponse + description: >- + Response from listing files in a vector store file batch. + VectorStoreListFilesResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: List of vector store file objects + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListFilesResponse + description: >- + Response from listing files in a vector store. + OpenaiAttachFileToVectorStoreRequest: + type: object + properties: + file_id: + type: string + description: >- + The ID of the file to attach to the vector store. + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The key-value attributes stored with the file, which can be used for filtering. + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + The chunking strategy to use for the file. + additionalProperties: false + required: + - file_id + title: OpenaiAttachFileToVectorStoreRequest + OpenaiUpdateVectorStoreFileRequest: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The updated key-value attributes to store with the file. + additionalProperties: false + required: + - attributes + title: OpenaiUpdateVectorStoreFileRequest + VectorStoreFileDeleteResponse: + type: object + properties: + id: + type: string + description: Unique identifier of the deleted file + object: + type: string + default: vector_store.file.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreFileDeleteResponse + description: >- + Response from deleting a vector store file. + VectorStoreContent: + type: object + properties: + type: + type: string + const: text + description: >- + Content type, currently only "text" is supported + text: + type: string + description: The actual text content + additionalProperties: false + required: + - type + - text + title: VectorStoreContent + description: >- + Content item from a vector store file or search result. + VectorStoreFileContentsResponse: + type: object + properties: + file_id: + type: string + description: Unique identifier for the file + filename: + type: string + description: Name of the file + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: List of content items from the file + additionalProperties: false + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: >- + Response from retrieving the contents of a vector store file. + OpenaiSearchVectorStoreRequest: + type: object + properties: + query: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + The query string or array for performing the search. + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Filters based on file attributes to narrow the search results. + max_num_results: + type: integer + description: >- + Maximum number of results to return (1 to 50 inclusive, default 10). + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + Ranking options for fine-tuning the search results. + rewrite_query: + type: boolean + description: >- + Whether to rewrite the natural language query for vector search (default + false) + search_mode: + type: string + description: >- + The search mode to use - "keyword", "vector", or "hybrid" (default "vector") + additionalProperties: false + required: + - query + title: OpenaiSearchVectorStoreRequest + VectorStoreSearchResponse: + type: object + properties: + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: Relevance score for this search result + attributes: + type: object + additionalProperties: + oneOf: + - type: string + - type: number + - type: boolean + description: >- + (Optional) Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: >- + List of content items matching the search query + additionalProperties: false + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + type: object + properties: + object: + type: string + default: vector_store.search_results.page + description: >- + Object type identifier for the search results page + search_query: + type: string + description: >- + The original search query that was executed + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + description: List of search result objects + has_more: + type: boolean + default: false + description: >- + Whether there are more results available beyond this page + next_page: + type: string + description: >- + (Optional) Token for retrieving the next page of results + additionalProperties: false + required: + - object + - search_query + - data + - has_more + title: VectorStoreSearchResponsePage + description: >- + Paginated response from searching a vector store. + VersionInfo: + type: object + properties: + version: + type: string + description: Version number of the service + additionalProperties: false + required: + - version + title: VersionInfo + description: Version information for the service. + responses: + BadRequest400: + description: The request was invalid or malformed + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 400 + title: Bad Request + detail: The request was invalid or malformed + TooManyRequests429: + description: >- + The client has sent too many requests in a given amount of time + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 429 + title: Too Many Requests + detail: >- + You have exceeded the rate limit. Please try again later. + InternalServerError500: + description: >- + The server encountered an unexpected error + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 500 + title: Internal Server Error + detail: >- + An unexpected error occurred. Our team has been notified. + DefaultError: + description: An unexpected error occurred + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 0 + title: Error + detail: An unexpected error occurred +security: + - Default: [] +tags: + - name: Agents + description: >- + APIs for creating and interacting with agentic systems. + + + ## Responses API + + + The Responses API provides OpenAI-compatible functionality with enhanced capabilities + for dynamic, stateful interactions. + + + > **✅ STABLE**: This API is production-ready with backward compatibility guarantees. + Recommended for production applications. + + + ### ✅ Supported Tools + + + The Responses API supports the following tool types: + + + - **`web_search`**: Search the web for current information and real-time data + + - **`file_search`**: Search through uploaded files and vector stores + - Supports dynamic `vector_store_ids` per call + - Compatible with OpenAI file search patterns + - **`function`**: Call custom functions with JSON schema validation + + - **`mcp_tool`**: Model Context Protocol integration + + + ### ✅ Supported Fields & Features + + + **Core Capabilities:** + + - **Dynamic Configuration**: Switch models, vector stores, and tools per request + without pre-configuration + + - **Conversation Branching**: Use `previous_response_id` to branch conversations + and explore different paths + + - **Rich Annotations**: Automatic file citations, URL citations, and container + file citations + + - **Status Tracking**: Monitor tool call execution status and handle failures + gracefully + + + ### 🚧 Work in Progress + + + - Full real-time response streaming support + + - `tool_choice` parameter + + - `max_tool_calls` parameter + + - Built-in tools (code interpreter, containers API) + + - Safety & guardrails + + - `reasoning` capabilities + + - `service_tier` + + - `logprobs` + + - `max_output_tokens` + + - `metadata` handling + + - `instructions` + + - `incomplete_details` + + - `background` + x-displayName: Agents + - name: Conversations + description: >- + Protocol for conversation management operations. + x-displayName: Conversations + - name: Files + description: >- + This API is used to upload documents that can be used with other Llama Stack + APIs. + x-displayName: Files + - name: Inference + description: >- + Llama Stack Inference API for generating completions, chat completions, and + embeddings. + + + This API provides the raw interface to the underlying models. Two kinds of models + are supported: + + - LLM models: these models generate "raw" and "chat" (conversational) completions. + + - Embedding models: these models generate embeddings to be used for semantic + search. + x-displayName: Inference + - name: Inspect + description: >- + APIs for inspecting the Llama Stack service, including health status, available + API routes with methods and implementing providers. + x-displayName: Inspect + - name: Models + description: '' + - name: Prompts + description: >- + Protocol for prompt management operations. + x-displayName: Prompts + - name: Providers + description: >- + Providers API for inspecting, listing, and modifying providers and their configurations. + x-displayName: Providers + - name: Safety + description: OpenAI-compatible Moderations API. + x-displayName: Safety + - name: Scoring + description: '' + - name: ScoringFunctions + description: '' + - name: Shields + description: '' + - name: SyntheticDataGeneration (Coming Soon) + description: '' + - name: ToolGroups + description: '' + - name: ToolRuntime + description: '' + - name: VectorIO + description: '' +x-tagGroups: + - name: Operations + tags: + - Agents + - Conversations + - Files + - Inference + - Inspect + - Models + - Prompts + - Providers + - Safety + - Scoring + - ScoringFunctions + - Shields + - SyntheticDataGeneration (Coming Soon) + - ToolGroups + - ToolRuntime + - VectorIO diff --git a/docs/v0.3.0/markdown-page.html b/docs/v0.3.0/markdown-page.html new file mode 100644 index 00000000..3d41ca37 --- /dev/null +++ b/docs/v0.3.0/markdown-page.html @@ -0,0 +1,21 @@ + + + + + +Markdown page example | Llama Stack + + + + + + + + + + + +

Markdown page example

+

You don't need React to write simple standalone pages.

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(Coming Soon)","u":"/v0.3.0/docs/api/synthetic-data-generation-coming-soon","p":1673},{"i":1676,"t":"ToolGroups","s":"ToolGroups","u":"/v0.3.0/docs/api/tool-groups","p":1676},{"i":1689,"t":"ToolRuntime","s":"ToolRuntime","u":"/v0.3.0/docs/api/tool-runtime","p":1689},{"i":1698,"t":"Unregister a scoring function.","s":"Unregister a scoring function.","u":"/v0.3.0/docs/api/unregister-a-scoring-function","p":1698},{"i":1705,"t":"Unregister a shield.","s":"Unregister a shield.","u":"/v0.3.0/docs/api/unregister-a-shield","p":1705},{"i":1712,"t":"Unregister a tool group.","s":"Unregister a tool group.","u":"/v0.3.0/docs/api/unregister-a-tool-group","p":1712},{"i":1719,"t":"Unregister model.","s":"Unregister model.","u":"/v0.3.0/docs/api/unregister-model","p":1719},{"i":1726,"t":"Update a conversation.","s":"Update a conversation.","u":"/v0.3.0/docs/api/update-a-conversation","p":1726},{"i":1733,"t":"Update prompt.","s":"Update 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Providers","u":"/v0.3.0/docs/concepts/apis/api_providers","p":2115},{"i":2117,"t":"Understanding external APIs in Llama Stack","s":"External APIs","u":"/v0.3.0/docs/concepts/apis/external","p":2117},{"i":2137,"t":"Understanding Llama Stack's service-oriented design and benefits","s":"Llama Stack architecture","u":"/v0.3.0/docs/concepts/architecture","p":2137},{"i":2146,"t":"Pre-packaged provider configurations for different deployment scenarios","s":"Distributions","u":"/v0.3.0/docs/concepts/distributions","p":2146},{"i":2148,"t":"Running evaluations on Llama Stack","s":"Evaluation Concepts","u":"/v0.3.0/docs/concepts/evaluation_concepts","p":2148},{"i":2157,"t":"Resource federation and registration in Llama Stack","s":"Resources","u":"/v0.3.0/docs/concepts/resources","p":2157},{"i":2159,"t":"We want to make contributing to this project as easy and transparent as","s":"Contributing to Llama Stack","u":"/v0.3.0/docs/contributing","p":2159},{"i":2196,"t":"Guide for adding new API providers to Llama Stack","s":"Adding a New API Provider","u":"/v0.3.0/docs/contributing/new_api_provider","p":2196},{"i":2214,"t":"Guide for adding new vector database providers to Llama Stack","s":"Adding a New Vector Database","u":"/v0.3.0/docs/contributing/new_vector_database","p":2214},{"i":2218,"t":"Understanding how Llama Stack captures and replays API interactions for testing","s":"Record-Replay System","u":"/v0.3.0/docs/contributing/testing/record-replay","p":2218},{"i":2261,"t":"Production deployment guides for Llama Stack in various environments","s":"Deploying Llama Stack","u":"/v0.3.0/docs/deploying","p":2261},{"i":2263,"t":"Deploy Llama Stack on AWS EKS","s":"AWS EKS Deployment Guide","u":"/v0.3.0/docs/deploying/aws_eks_deployment","p":2263},{"i":2269,"t":"Deploy Llama Stack on Kubernetes clusters with vLLM inference service","s":"Kubernetes Deployment Guide","u":"/v0.3.0/docs/deploying/kubernetes_deployment","p":2269},{"i":2289,"t":"Pre-packaged sets of Llama Stack components for different deployment scenarios","s":"Distributions Overview","u":"/v0.3.0/docs/distributions","p":2289},{"i":2293,"t":"Building a Llama Stack distribution from scratch","s":"Building Custom Distributions","u":"/v0.3.0/docs/distributions/building_distro","p":2293},{"i":2299,"t":"Configuring a \"Stack\"","s":"Configuring a \"Stack\"","u":"/v0.3.0/docs/distributions/configuration","p":2299},{"i":2321,"t":"Customizing run.yaml files for Llama Stack templates","s":"Customizing run.yaml Files","u":"/v0.3.0/docs/distributions/customizing_run_yaml","p":2321},{"i":2329,"t":"How to use Llama Stack as a Python library instead of running a server","s":"Using Llama Stack as a Library","u":"/v0.3.0/docs/distributions/importing_as_library","p":2329},{"i":2332,"t":"List of available distributions for Llama Stack","s":"Available Distributions","u":"/v0.3.0/docs/distributions/list_of_distributions","p":2332},{"i":2360,"t":"We are excited to share a guide for a Kotlin Library that brings front the benefits of Llama Stack to your Android device. This library is a set of SDKs that provide a simple and effective way to integrate AI capabilities into your Android app whether it is local (on-device) or remote inference.","s":"Llama Stack Client Kotlin API Library","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","p":2360},{"i":2395,"t":"We offer both remote and on-device use of Llama Stack in Swift via a single SDK llama-stack-client-swift that contains two components:","s":"iOS SDK","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","p":2395},{"i":2409,"t":"Remote-Hosted distributions are available endpoints serving Llama Stack API that you can directly connect to.","s":"Remote-Hosted Distributions","u":"/v0.3.0/docs/distributions/remote_hosted_distro","p":2409},{"i":2413,"t":"The llamastack/distribution-watsonx distribution consists of the following provider configurations.","s":"watsonx Distribution","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","p":2413},{"i":2425,"t":"The llamastack/distribution-dell distribution consists of the following provider configurations.","s":"Dell Distribution of Llama Stack","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","p":2425},{"i":2439,"t":"The llamastack/distribution-tgi distribution consists of the following provider configurations.","s":"Dell-TGI Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi","p":2439},{"i":2445,"t":"The llamastack/distribution-meta-reference-gpu distribution consists of the following provider configurations:","s":"Meta Reference GPU Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","p":2445},{"i":2453,"t":"The llamastack/distribution-nvidia distribution consists of the following provider configurations.","s":"NVIDIA Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","p":2453},{"i":2484,"t":"The llamastack/distribution-passthrough distribution consists of the following provider configurations.","s":"Passthrough Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/passthrough","p":2484},{"i":2490,"t":"The llamastack/distribution-starter distribution is a comprehensive, multi-provider distribution that includes most of the available inference providers in Llama Stack. It's designed to be a one-stop solution for developers who want to experiment with different AI providers without having to configure each one individually.","s":"Starter Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","p":2490},{"i":2538,"t":"Different ways to run Llama Stack servers - as library, container, or Kubernetes deployment","s":"Starting a Llama Stack Server","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","p":2538},{"i":2548,"t":"Complete guide to using Llama Stack server and client SDK to build AI agents","s":"Detailed Tutorial","u":"/v0.3.0/docs/getting_started/detailed_tutorial","p":2548},{"i":2558,"t":"We have a number of client-side SDKs available for different languages.","s":"Libraries (SDKs)","u":"/v0.3.0/docs/getting_started/libraries","p":2558},{"i":2560,"t":"environments.","s":"Quickstart","u":"/v0.3.0/docs/getting_started/quickstart","p":2560},{"i":2564,"t":"Ecosystem of providers for swapping implementations across the same API","s":"API Providers","u":"/v0.3.0/docs/providers","p":2564},{"i":2570,"t":"Agents\nAPIs for creating and interacting with agentic systems.","s":"Agents","u":"/v0.3.0/docs/providers/agents","p":2570},{"i":2573,"t":"Meta's reference implementation of an agent system that can use tools, access vector databases, and perform complex reasoning tasks.","s":"inline::meta-reference","u":"/v0.3.0/docs/providers/agents/inline_meta-reference","p":2573},{"i":2580,"t":"The Batches API enables efficient processing of multiple requests in a single operation, particularly useful for processing large datasets, batch evaluation workflows, and cost-effective inference at scale.\nThe API is designed to allow use of openai client libraries for seamless integration.\nThis API provides the following extensions: - idempotent batch creation\nNote: This API is currently under active development and may undergo changes.","s":"Batches","u":"/v0.3.0/docs/providers/batches","p":2580},{"i":2583,"t":"Reference implementation of batches API with KVStore persistence.","s":"inline::reference","u":"/v0.3.0/docs/providers/batches/inline_reference","p":2583},{"i":2590,"t":"Overview","s":"Datasetio","u":"/v0.3.0/docs/providers/datasetio","p":2590},{"i":2593,"t":"Local filesystem-based dataset I/O provider for reading and writing datasets to local storage.","s":"inline::localfs","u":"/v0.3.0/docs/providers/datasetio/inline_localfs","p":2593},{"i":2600,"t":"HuggingFace datasets provider for accessing and managing datasets from the HuggingFace Hub.","s":"remote::huggingface","u":"/v0.3.0/docs/providers/datasetio/remote_huggingface","p":2600},{"i":2607,"t":"NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.","s":"remote::nvidia","u":"/v0.3.0/docs/providers/datasetio/remote_nvidia","p":2607},{"i":2614,"t":"Evaluations\nLlama Stack Evaluation API for running evaluations on model and agent candidates.","s":"Eval","u":"/v0.3.0/docs/providers/eval","p":2614},{"i":2617,"t":"Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.","s":"inline::meta-reference","u":"/v0.3.0/docs/providers/eval/inline_meta-reference","p":2617},{"i":2624,"t":"NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.","s":"remote::nvidia","u":"/v0.3.0/docs/providers/eval/remote_nvidia","p":2624},{"i":2631,"t":"Llama Stack supports external providers that live outside of the main codebase. This allows you to:","s":"External Providers","u":"/v0.3.0/docs/providers/external","p":2631},{"i":2635,"t":"Configuration","s":"Creating External Providers","u":"/v0.3.0/docs/providers/external/external-providers-guide","p":2635},{"i":2660,"t":"Here's a list of known external providers that you can use with Llama Stack:","s":"Known External Providers","u":"/v0.3.0/docs/providers/external/external-providers-list","p":2660},{"i":2662,"t":"Files\nThis API is used to upload documents that can be used with other Llama Stack APIs.","s":"Files","u":"/v0.3.0/docs/providers/files","p":2662},{"i":2665,"t":"Local filesystem-based file storage provider for managing files and documents locally.","s":"inline::localfs","u":"/v0.3.0/docs/providers/files/inline_localfs","p":2665},{"i":2672,"t":"AWS S3-based file storage provider for scalable cloud file management with metadata persistence.","s":"remote::s3","u":"/v0.3.0/docs/providers/files/remote_s3","p":2672},{"i":2679,"t":"Inference\nLlama Stack Inference API for generating completions, chat completions, and embeddings.\nThis API provides the raw interface to the underlying models. Two kinds of models are supported: - LLM models: these models generate \"raw\" and \"chat\" (conversational) completions. - Embedding models: these models generate embeddings to be used for semantic search.","s":"Inference","u":"/v0.3.0/docs/providers/inference","p":2679},{"i":2682,"t":"Meta's reference implementation of inference with support for various model formats and optimization techniques.","s":"inline::meta-reference","u":"/v0.3.0/docs/providers/inference/inline_meta-reference","p":2682},{"i":2689,"t":"Sentence Transformers inference provider for text embeddings and similarity search.","s":"inline::sentence-transformers","u":"/v0.3.0/docs/providers/inference/inline_sentence-transformers","p":2689},{"i":2694,"t":"Anthropic inference provider for accessing Claude models and Anthropic's AI services.","s":"remote::anthropic","u":"/v0.3.0/docs/providers/inference/remote_anthropic","p":2694},{"i":2701,"t":"Azure OpenAI inference provider for accessing GPT models and other Azure services.\nProvider documentation\nhttps://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview\n","s":"remote::azure","u":"/v0.3.0/docs/providers/inference/remote_azure","p":2701},{"i":2708,"t":"AWS Bedrock inference provider for accessing various AI models through AWS's managed service.","s":"remote::bedrock","u":"/v0.3.0/docs/providers/inference/remote_bedrock","p":2708},{"i":2715,"t":"Cerebras inference provider for running models on Cerebras Cloud platform.","s":"remote::cerebras","u":"/v0.3.0/docs/providers/inference/remote_cerebras","p":2715},{"i":2722,"t":"Databricks inference provider for running models on Databricks' unified analytics platform.","s":"remote::databricks","u":"/v0.3.0/docs/providers/inference/remote_databricks","p":2722},{"i":2729,"t":"Fireworks AI inference provider for Llama models and other AI models on the Fireworks platform.","s":"remote::fireworks","u":"/v0.3.0/docs/providers/inference/remote_fireworks","p":2729},{"i":2736,"t":"Google Gemini inference provider for accessing Gemini models and Google's AI services.","s":"remote::gemini","u":"/v0.3.0/docs/providers/inference/remote_gemini","p":2736},{"i":2743,"t":"Groq inference provider for ultra-fast inference using Groq's LPU technology.","s":"remote::groq","u":"/v0.3.0/docs/providers/inference/remote_groq","p":2743},{"i":2750,"t":"HuggingFace Inference Endpoints provider for dedicated model serving.","s":"remote::hf::endpoint","u":"/v0.3.0/docs/providers/inference/remote_hf_endpoint","p":2750},{"i":2757,"t":"HuggingFace Inference API serverless provider for on-demand model inference.","s":"remote::hf::serverless","u":"/v0.3.0/docs/providers/inference/remote_hf_serverless","p":2757},{"i":2764,"t":"Llama OpenAI-compatible provider for using Llama models with OpenAI API format.","s":"remote::llama-openai-compat","u":"/v0.3.0/docs/providers/inference/remote_llama-openai-compat","p":2764},{"i":2771,"t":"NVIDIA inference provider for accessing NVIDIA NIM models and AI services.","s":"remote::nvidia","u":"/v0.3.0/docs/providers/inference/remote_nvidia","p":2771},{"i":2778,"t":"Ollama inference provider for running local models through the Ollama runtime.","s":"remote::ollama","u":"/v0.3.0/docs/providers/inference/remote_ollama","p":2778},{"i":2785,"t":"OpenAI inference provider for accessing GPT models and other OpenAI services.","s":"remote::openai","u":"/v0.3.0/docs/providers/inference/remote_openai","p":2785},{"i":2792,"t":"Passthrough inference provider for connecting to any external inference service not directly supported.","s":"remote::passthrough","u":"/v0.3.0/docs/providers/inference/remote_passthrough","p":2792},{"i":2799,"t":"RunPod inference provider for running models on RunPod's cloud GPU platform.","s":"remote::runpod","u":"/v0.3.0/docs/providers/inference/remote_runpod","p":2799},{"i":2806,"t":"SambaNova inference provider for running models on SambaNova's dataflow architecture.","s":"remote::sambanova","u":"/v0.3.0/docs/providers/inference/remote_sambanova","p":2806},{"i":2813,"t":"Description","s":"remote::sambanova-openai-compat","u":"/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat","p":2813},{"i":2820,"t":"Text Generation Inference (TGI) provider for HuggingFace model serving.","s":"remote::tgi","u":"/v0.3.0/docs/providers/inference/remote_tgi","p":2820},{"i":2827,"t":"Together AI inference provider for open-source models and collaborative AI development.","s":"remote::together","u":"/v0.3.0/docs/providers/inference/remote_together","p":2827},{"i":2834,"t":"Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:\n\n• Enterprise-grade security: Uses Google Cloud's security controls and IAM\n• Better integration: Seamless integration with other Google Cloud services\n• Advanced features: Access to additional Vertex AI features like model tuning and monitoring\n• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys\n\nConfiguration:\n- Set VERTEX_AI_PROJECT environment variable (required)\n- Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)\n- Use Google Cloud Application Default Credentials or service account key\n\nAuthentication Setup:\nOption 1 (Recommended): gcloud auth application-default login\nOption 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path\n\nAvailable Models:\n- vertex_ai/gemini-2.0-flash\n- vertex_ai/gemini-2.5-flash\n- vertex_ai/gemini-2.5-pro\n","s":"remote::vertexai","u":"/v0.3.0/docs/providers/inference/remote_vertexai","p":2834},{"i":2841,"t":"Remote vLLM inference provider for connecting to vLLM servers.","s":"remote::vllm","u":"/v0.3.0/docs/providers/inference/remote_vllm","p":2841},{"i":2848,"t":"IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform.","s":"remote::watsonx","u":"/v0.3.0/docs/providers/inference/remote_watsonx","p":2848},{"i":2855,"t":"OpenAI API Compatibility","s":"OpenAI Compatibility","u":"/v0.3.0/docs/providers/openai","p":2855},{"i":2863,"t":"Limitations of Responses API","s":"Known Limitations of the OpenAI-compatible Responses API in Llama Stack","u":"/v0.3.0/docs/providers/openai_responses_limitations","p":2863},{"i":2922,"t":"Overview","s":"Post_Training","u":"/v0.3.0/docs/providers/post_training","p":2922},{"i":2925,"t":"Description","s":"inline::huggingface","u":"/v0.3.0/docs/providers/post_training/inline_huggingface","p":2925},{"i":2932,"t":"Description","s":"inline::huggingface-cpu","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-cpu","p":2932},{"i":2939,"t":"HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.","s":"inline::huggingface-gpu","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-gpu","p":2939},{"i":2946,"t":"Description","s":"inline::torchtune","u":"/v0.3.0/docs/providers/post_training/inline_torchtune","p":2946},{"i":2953,"t":"TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.","s":"inline::torchtune-cpu","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-cpu","p":2953},{"i":2960,"t":"TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.","s":"inline::torchtune-gpu","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-gpu","p":2960},{"i":2967,"t":"NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.","s":"remote::nvidia","u":"/v0.3.0/docs/providers/post_training/remote_nvidia","p":2967},{"i":2974,"t":"Safety\nOpenAI-compatible Moderations API.","s":"Safety","u":"/v0.3.0/docs/providers/safety","p":2974},{"i":2977,"t":"Code Scanner safety provider for detecting security vulnerabilities and unsafe code patterns.","s":"inline::code-scanner","u":"/v0.3.0/docs/providers/safety/inline_code-scanner","p":2977},{"i":2982,"t":"Llama Guard safety provider for content moderation and safety filtering using Meta's Llama Guard model.","s":"inline::llama-guard","u":"/v0.3.0/docs/providers/safety/inline_llama-guard","p":2982},{"i":2989,"t":"Prompt Guard safety provider for detecting and filtering unsafe prompts and content.","s":"inline::prompt-guard","u":"/v0.3.0/docs/providers/safety/inline_prompt-guard","p":2989},{"i":2996,"t":"AWS Bedrock safety provider for content moderation using AWS's safety services.","s":"remote::bedrock","u":"/v0.3.0/docs/providers/safety/remote_bedrock","p":2996},{"i":3003,"t":"NVIDIA's safety provider for content moderation and safety filtering.","s":"remote::nvidia","u":"/v0.3.0/docs/providers/safety/remote_nvidia","p":3003},{"i":3010,"t":"SambaNova's safety provider for content moderation and safety filtering.","s":"remote::sambanova","u":"/v0.3.0/docs/providers/safety/remote_sambanova","p":3010},{"i":3017,"t":"Overview","s":"Scoring","u":"/v0.3.0/docs/providers/scoring","p":3017},{"i":3020,"t":"Basic scoring provider for simple evaluation metrics and scoring functions.","s":"inline::basic","u":"/v0.3.0/docs/providers/scoring/inline_basic","p":3020},{"i":3025,"t":"Braintrust scoring provider for evaluation and scoring using the Braintrust platform.","s":"inline::braintrust","u":"/v0.3.0/docs/providers/scoring/inline_braintrust","p":3025},{"i":3032,"t":"LLM-as-judge scoring provider that uses language models to evaluate and score responses.","s":"inline::llm-as-judge","u":"/v0.3.0/docs/providers/scoring/inline_llm-as-judge","p":3032},{"i":3037,"t":"Overview","s":"Telemetry","u":"/v0.3.0/docs/providers/telemetry","p":3037},{"i":3040,"t":"Meta's reference implementation of telemetry and observability using OpenTelemetry.","s":"inline::meta-reference","u":"/v0.3.0/docs/providers/telemetry/inline_meta-reference","p":3040},{"i":3047,"t":"Overview","s":"Tool_Runtime","u":"/v0.3.0/docs/providers/tool_runtime","p":3047},{"i":3050,"t":"RAG (Retrieval-Augmented Generation) tool runtime for document ingestion, chunking, and semantic search.","s":"inline::rag-runtime","u":"/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime","p":3050},{"i":3055,"t":"Bing Search tool for web search capabilities using Microsoft's search engine.","s":"remote::bing-search","u":"/v0.3.0/docs/providers/tool_runtime/remote_bing-search","p":3055},{"i":3062,"t":"Brave Search tool for web search capabilities with privacy-focused results.","s":"remote::brave-search","u":"/v0.3.0/docs/providers/tool_runtime/remote_brave-search","p":3062},{"i":3069,"t":"Model Context Protocol (MCP) tool for standardized tool calling and context management.","s":"remote::model-context-protocol","u":"/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol","p":3069},{"i":3074,"t":"Tavily Search tool for AI-optimized web search with structured results.","s":"remote::tavily-search","u":"/v0.3.0/docs/providers/tool_runtime/remote_tavily-search","p":3074},{"i":3081,"t":"Wolfram Alpha tool for computational knowledge and mathematical calculations.","s":"remote::wolfram-alpha","u":"/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha","p":3081},{"i":3088,"t":"Overview","s":"Vector_Io","u":"/v0.3.0/docs/providers/vector_io","p":3088},{"i":3091,"t":"[Chroma](https://www.trychroma.com/) is an inline and remote vector\ndatabase provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.\nThat means you're not limited to storing vectors in memory or in a separate service.\n\n## Features\nChroma supports:\n- Store embeddings and their metadata\n- Vector search\n- Full-text search\n- Document storage\n- Metadata filtering\n- Multi-modal retrieval\n\n## Usage\n\nTo use Chrome in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use chroma.\n3. Start storing and querying vectors.\n\n## Installation\n\nYou can install chroma using pip:\n\n```bash\npip install chromadb\n```\n\n## Documentation\nSee [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.\n","s":"inline::chromadb","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","p":3091},{"i":3106,"t":"[Faiss](https://github.com/facebookresearch/faiss) is an inline vector database provider for Llama Stack. It\nallows you to store and query vectors directly in memory.\nThat means you'll get fast and efficient vector retrieval.\n\n## Features\n\n- Lightweight and easy to use\n- Fully integrated with Llama Stack\n- GPU support\n- **Vector search** - FAISS supports pure vector similarity search using embeddings\n\n## Search Modes\n\n**Supported:**\n- **Vector Search** (`mode=\"vector\"`): Performs vector similarity search using embeddings\n\n**Not Supported:**\n- **Keyword Search** (`mode=\"keyword\"`): Not supported by FAISS\n- **Hybrid Search** (`mode=\"hybrid\"`): Not supported by FAISS\n\n> **Note**: FAISS is designed as a pure vector similarity search library. See the [FAISS GitHub repository](https://github.com/facebookresearch/faiss) for more details about FAISS's core functionality.\n\n## Usage\n\nTo use Faiss in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use Faiss.\n3. Start storing and querying vectors.\n\n## Installation\n\nYou can install Faiss using pip:\n\n```bash\npip install faiss-cpu\n```\n## Documentation\nSee [Faiss' documentation](https://faiss.ai/) or the [Faiss Wiki](https://github.com/facebookresearch/faiss/wiki) for\nmore details about Faiss in general.\n","s":"inline::faiss","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","p":3106},{"i":3123,"t":"Meta's reference implementation of a vector database.","s":"inline::meta-reference","u":"/v0.3.0/docs/providers/vector_io/inline_meta-reference","p":3123},{"i":3132,"t":"Please refer to the remote provider documentation.","s":"inline::milvus","u":"/v0.3.0/docs/providers/vector_io/inline_milvus","p":3132},{"i":3139,"t":"[Qdrant](https://qdrant.tech/documentation/) is an inline and remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly in memory.\nThat means you'll get fast and efficient vector retrieval.\n\n> By default, Qdrant stores vectors in RAM, delivering incredibly fast access for datasets that fit comfortably in\n> memory. But when your dataset exceeds RAM capacity, Qdrant offers Memmap as an alternative.\n>\n> \\[[An Introduction to Vector Databases](https://qdrant.tech/articles/what-is-a-vector-database/)\\]\n\n\n\n## Features\n\n- Lightweight and easy to use\n- Fully integrated with Llama Stack\n- Apache 2.0 license terms\n- Store embeddings and their metadata\n- Supports search by\n [Keyword](https://qdrant.tech/articles/qdrant-introduces-full-text-filters-and-indexes/)\n and [Hybrid](https://qdrant.tech/articles/hybrid-search/#building-a-hybrid-search-system-in-qdrant) search\n- [Multilingual and Multimodal retrieval](https://qdrant.tech/documentation/multimodal-search/)\n- [Medatata filtering](https://qdrant.tech/articles/vector-search-filtering/)\n- [GPU support](https://qdrant.tech/documentation/guides/running-with-gpu/)\n\n## Usage\n\nTo use Qdrant in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use Qdrant.\n3. Start storing and querying vectors.\n\n## Installation\n\nYou can install Qdrant using docker:\n\n```bash\ndocker pull qdrant/qdrant\n```\n## Documentation\nSee the [Qdrant documentation](https://qdrant.tech/documentation/) for more details about Qdrant in general.\n","s":"inline::qdrant","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","p":3139},{"i":3154,"t":"[SQLite-Vec](https://github.com/asg017/sqlite-vec) is an inline vector database provider for Llama Stack. It\nallows you to store and query vectors directly within an SQLite database.\nThat means you're not limited to storing vectors in memory or in a separate service.\n\n## Features\n\n- Lightweight and easy to use\n- Fully integrated with Llama Stacks\n- Uses disk-based storage for persistence, allowing for larger vector storage\n\n### Comparison to Faiss\n\nThe choice between Faiss and sqlite-vec should be made based on the needs of your application,\nas they have different strengths.\n\n#### Choosing the Right Provider\n\nScenario | Recommended Tool | Reason\n-- |-----------------| --\nOnline Analytical Processing (OLAP) | Faiss | Fast, in-memory searches\nOnline Transaction Processing (OLTP) | sqlite-vec | Frequent writes and reads\nFrequent writes | sqlite-vec | Efficient disk-based storage and incremental indexing\nLarge datasets | sqlite-vec | Disk-based storage for larger vector storage\nDatasets that can fit in memory, frequent reads | Faiss | Optimized for speed, indexing, and GPU acceleration\n\n#### Empirical Example\n\nConsider the histogram below in which 10,000 randomly generated strings were inserted\nin batches of 100 into both Faiss and sqlite-vec using `client.tool_runtime.rag_tool.insert()`.\n\n```{image} ../../../../_static/providers/vector_io/write_time_comparison_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n```\n\nYou will notice that the average write time for `sqlite-vec` was 788ms, compared to\n47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather\nuniformly spread across the [1500, 100000] interval.\n\nLooking at each individual write in the order that the documents are inserted you'll see the increase in\nwrite speed as Faiss reindexes the vectors after each write.\n```{image} ../../../../_static/providers/vector_io/write_time_sequence_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss write times\n:width: 400px\n```\n\nIn comparison, the read times for Faiss was on average 10% faster than sqlite-vec.\nThe modes of the two distributions highlight the differences much further where Faiss\nwill likely yield faster read performance.\n\n```{image} ../../../../_static/providers/vector_io/read_time_comparison_sqlite-vec-faiss.png\n:alt: Comparison of SQLite-Vec and Faiss read times\n:width: 400px\n```\n\n## Usage\n\nTo use sqlite-vec in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use SQLite-Vec.\n3. Start storing and querying vectors.\n\nThe SQLite-vec provider supports three search modes:\n\n1. **Vector Search** (`mode=\"vector\"`): Performs pure vector similarity search using the embeddings.\n2. **Keyword Search** (`mode=\"keyword\"`): Performs full-text search using SQLite's FTS5.\n3. **Hybrid Search** (`mode=\"hybrid\"`): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates.\n\nExample with hybrid search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id=\"my_db\",\n query=\"your query here\",\n params={\"mode\": \"hybrid\", \"max_chunks\": 3, \"score_threshold\": 0.7},\n)\n\n# Using RRF ranker\nresponse = await vector_io.query_chunks(\n vector_db_id=\"my_db\",\n query=\"your query here\",\n params={\n \"mode\": \"hybrid\",\n \"max_chunks\": 3,\n \"score_threshold\": 0.7,\n \"ranker\": {\"type\": \"rrf\", \"impact_factor\": 60.0},\n },\n)\n\n# Using weighted ranker\nresponse = await vector_io.query_chunks(\n vector_db_id=\"my_db\",\n query=\"your query here\",\n params={\n \"mode\": \"hybrid\",\n \"max_chunks\": 3,\n \"score_threshold\": 0.7,\n \"ranker\": {\"type\": \"weighted\", \"alpha\": 0.7}, # 70% vector, 30% keyword\n },\n)\n```\n\nExample with explicit vector search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id=\"my_db\",\n query=\"your query here\",\n params={\"mode\": \"vector\", \"max_chunks\": 3, \"score_threshold\": 0.7},\n)\n```\n\nExample with keyword search:\n```python\nresponse = await vector_io.query_chunks(\n vector_db_id=\"my_db\",\n query=\"your query here\",\n params={\"mode\": \"keyword\", \"max_chunks\": 3, \"score_threshold\": 0.7},\n)\n```\n\n## Supported Search Modes\n\nThe SQLite vector store supports three search modes:\n\n1. **Vector Search** (`mode=\"vector\"`): Uses vector similarity to find relevant chunks\n2. **Keyword Search** (`mode=\"keyword\"`): Uses keyword matching to find relevant chunks\n3. **Hybrid Search** (`mode=\"hybrid\"`): Combines both vector and keyword scores using a ranker\n\n### Hybrid Search\n\nHybrid search combines the strengths of both vector and keyword search by:\n- Computing vector similarity scores\n- Computing keyword match scores\n- Using a ranker to combine these scores\n\nTwo ranker types are supported:\n\n1. **RRF (Reciprocal Rank Fusion)**:\n - Combines ranks from both vector and keyword results\n - Uses an impact factor (default: 60.0) to control the weight of higher-ranked results\n - Good for balancing between vector and keyword results\n - The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) [^1], which found this value to provide optimal performance across various retrieval tasks\n\n2. **Weighted**:\n - Linearly combines normalized vector and keyword scores\n - Uses an alpha parameter (0-1) to control the blend:\n - alpha=0: Only use keyword scores\n - alpha=1: Only use vector scores\n - alpha=0.5: Equal weight to both (default)\n\nExample using RAGQueryConfig with different search modes:\n\n```python\nfrom llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker\n\n# Vector search\nconfig = RAGQueryConfig(mode=\"vector\", max_chunks=5)\n\n# Keyword search\nconfig = RAGQueryConfig(mode=\"keyword\", max_chunks=5)\n\n# Hybrid search with custom RRF ranker\nconfig = RAGQueryConfig(\n mode=\"hybrid\",\n max_chunks=5,\n ranker=RRFRanker(impact_factor=50.0), # Custom impact factor\n)\n\n# Hybrid search with weighted ranker\nconfig = RAGQueryConfig(\n mode=\"hybrid\",\n max_chunks=5,\n ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword\n)\n\n# Hybrid search with default RRF ranker\nconfig = RAGQueryConfig(\n mode=\"hybrid\", max_chunks=5\n) # Will use RRF with impact_factor=60.0\n```\n\nNote: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.\n\n## Installation\n\nYou can install SQLite-Vec using pip:\n\n```bash\npip install sqlite-vec\n```\n\n## Documentation\n\nSee [sqlite-vec's GitHub repo](https://github.com/asg017/sqlite-vec/tree/main) for more details about sqlite-vec in general.\n\n[^1]: Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). [Reciprocal rank fusion outperforms condorcet and individual rank learning methods](https://dl.acm.org/doi/10.1145/1571941.1572114). In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759).\n","s":"inline::sqlite-vec","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","p":3154},{"i":3177,"t":"Please refer to the sqlite-vec provider documentation.","s":"inline::sqlite_vec","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite_vec","p":3177},{"i":3186,"t":"[Chroma](https://www.trychroma.com/) is an inline and remote vector\ndatabase provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database.\nThat means you're not limited to storing vectors in memory or in a separate service.\n\n## Features\nChroma supports:\n- Store embeddings and their metadata\n- Vector search\n- Full-text search\n- Document storage\n- Metadata filtering\n- Multi-modal retrieval\n\n## Usage\n\nTo use Chrome in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use chroma.\n3. Start storing and querying vectors.\n\n## Installation\n\nYou can install chroma using pip:\n\n```bash\npip install chromadb\n```\n\n## Documentation\nSee [Chroma's documentation](https://docs.trychroma.com/docs/overview/introduction) for more details about Chroma in general.\n","s":"remote::chromadb","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","p":3186},{"i":3201,"t":"[Milvus](https://milvus.io/) is an inline and remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly within a Milvus database.\nThat means you're not limited to storing vectors in memory or in a separate service.\n\n## Features\n\n- Easy to use\n- Fully integrated with Llama Stack\n- Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)\n\n## Usage\n\nTo use Milvus in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use Milvus.\n3. Start storing and querying vectors.\n\n## Installation\n\nIf you want to use inline Milvus, you can install:\n\n```bash\npip install pymilvus[milvus-lite]\n```\n\nIf you want to use remote Milvus, you can install:\n\n```bash\npip install pymilvus\n```\n\n## Configuration\n\nIn Llama Stack, Milvus can be configured in two ways:\n- **Inline (Local) Configuration** - Uses Milvus-Lite for local storage\n- **Remote Configuration** - Connects to a remote Milvus server\n\n### Inline (Local) Configuration\n\nThe simplest method is local configuration, which requires setting `db_path`, a path for locally storing Milvus-Lite files:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: inline::milvus\n config:\n db_path: ~/.llama/distributions/together/milvus_store.db\n```\n\n### Remote Configuration\n\nRemote configuration is suitable for larger data storage requirements:\n\n#### Standard Remote Connection\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: \"http://:\"\n token: \":\"\n```\n\n#### TLS-Enabled Remote Connection (One-way TLS)\n\nFor connections to Milvus instances with one-way TLS enabled:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: \"https://:\"\n token: \":\"\n secure: True\n server_pem_path: \"/path/to/server.pem\"\n```\n\n#### Mutual TLS (mTLS) Remote Connection\n\nFor connections to Milvus instances with mutual TLS (mTLS) enabled:\n\n```yaml\nvector_io:\n - provider_id: milvus\n provider_type: remote::milvus\n config:\n uri: \"https://:\"\n token: \":\"\n secure: True\n ca_pem_path: \"/path/to/ca.pem\"\n client_pem_path: \"/path/to/client.pem\"\n client_key_path: \"/path/to/client.key\"\n```\n\n#### Key Parameters for TLS Configuration\n\n- **`secure`**: Enables TLS encryption when set to `true`. Defaults to `false`.\n- **`server_pem_path`**: Path to the **server certificate** for verifying the server's identity (used in one-way TLS).\n- **`ca_pem_path`**: Path to the **Certificate Authority (CA) certificate** for validating the server certificate (required in mTLS).\n- **`client_pem_path`**: Path to the **client certificate** file (required for mTLS).\n- **`client_key_path`**: Path to the **client private key** file (required for mTLS).\n\n## Search Modes\n\nMilvus supports three different search modes for both inline and remote configurations:\n\n### Vector Search\nVector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content.\n\n```python\n# Vector search example\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query=\"What is machine learning?\",\n search_mode=\"vector\",\n max_num_results=5,\n)\n```\n\n### Keyword Search\nKeyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches.\n\n```python\n# Keyword search example\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query=\"Python programming language\",\n search_mode=\"keyword\",\n max_num_results=5,\n)\n```\n\n### Hybrid Search\nHybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching.\n\n#### Basic Hybrid Search\n```python\n# Basic hybrid search example (uses RRF ranker with default impact_factor=60.0)\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query=\"neural networks in Python\",\n search_mode=\"hybrid\",\n max_num_results=5,\n)\n```\n\n**Note**: The default `impact_factor` value of 60.0 was empirically determined to be optimal in the original RRF research paper: [\"Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods\"](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) (Cormack et al., 2009).\n\n#### Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker\nRRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results.\n\n```python\n# Hybrid search with custom RRF parameters\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query=\"neural networks in Python\",\n search_mode=\"hybrid\",\n max_num_results=5,\n ranking_options={\n \"ranker\": {\n \"type\": \"rrf\",\n \"impact_factor\": 100.0, # Higher values give more weight to top-ranked results\n }\n },\n)\n```\n\n#### Hybrid Search with Weighted Ranker\nWeighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods.\n\n```python\n# Hybrid search with weighted ranker\nsearch_response = client.vector_stores.search(\n vector_store_id=vector_store.id,\n query=\"neural networks in Python\",\n search_mode=\"hybrid\",\n max_num_results=5,\n ranking_options={\n \"ranker\": {\n \"type\": \"weighted\",\n \"alpha\": 0.7, # 70% vector search, 30% keyword search\n }\n },\n)\n```\n\nFor detailed documentation on RRF and Weighted rankers, please refer to the [Milvus Reranking Guide](https://milvus.io/docs/reranking.md).\n\n## Documentation\nSee the [Milvus documentation](https://milvus.io/docs/install-overview.md) for more details about Milvus in general.\n\nFor more details on TLS configuration, refer to the [TLS setup guide](https://milvus.io/docs/tls.md).\n","s":"remote::milvus","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","p":3201},{"i":3230,"t":"[PGVector](https://github.com/pgvector/pgvector) is a remote vector database provider for Llama Stack. It\nallows you to store and query vectors directly in memory.\nThat means you'll get fast and efficient vector retrieval.\n\n## Features\n\n- Easy to use\n- Fully integrated with Llama Stack\n\nThere are three implementations of search for PGVectoIndex available:\n\n1. Vector Search:\n- How it works:\n - Uses PostgreSQL's vector extension (pgvector) to perform similarity search\n - Compares query embeddings against stored embeddings using Cosine distance or other distance metrics\n - Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance\n\n-Characteristics:\n - Semantic understanding - finds documents similar in meaning even if they don't share keywords\n - Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions)\n - Best for: Finding conceptually related content, handling synonyms, cross-language search\n\n2. Keyword Search\n- How it works:\n - Uses PostgreSQL's full-text search capabilities with tsvector and ts_rank\n - Converts text to searchable tokens using to_tsvector('english', text). Default language is English.\n - Eg. SQL query: SELECT document, ts_rank(tokenized_content, plainto_tsquery('english', %s)) AS score\n\n- Characteristics:\n - Lexical matching - finds exact keyword matches and variations\n - Uses GIN (Generalized Inverted Index) for fast text search performance\n - Scoring: Uses PostgreSQL's ts_rank function for relevance scoring\n - Best for: Exact term matching, proper names, technical terms, Boolean-style queries\n\n3. Hybrid Search\n- How it works:\n - Combines both vector and keyword search results\n - Runs both searches independently, then merges results using configurable reranking\n\n- Two reranking strategies available:\n - Reciprocal Rank Fusion (RRF) - (default: 60.0)\n - Weighted Average - (default: 0.5)\n\n- Characteristics:\n - Best of both worlds: semantic understanding + exact matching\n - Documents appearing in both searches get boosted scores\n - Configurable balance between semantic and lexical matching\n - Best for: General-purpose search where you want both precision and recall\n\n4. Database Schema\nThe PGVector implementation stores data optimized for all three search types:\nCREATE TABLE vector_store_xxx (\n id TEXT PRIMARY KEY,\n document JSONB, -- Original document\n embedding vector(dimension), -- For vector search\n content_text TEXT, -- Raw text content\n tokenized_content TSVECTOR -- For keyword search\n);\n\n-- Indexes for performance\nCREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search\n-- Vector index created automatically by pgvector\n\n## Usage\n\nTo use PGVector in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).\n3. Start storing and querying vectors.\n\n## This is an example how you can set up your environment for using PGVector\n\n1. Export env vars:\n```bash\nexport ENABLE_PGVECTOR=true\nexport PGVECTOR_HOST=localhost\nexport PGVECTOR_PORT=5432\nexport PGVECTOR_DB=llamastack\nexport PGVECTOR_USER=llamastack\nexport PGVECTOR_PASSWORD=llamastack\n```\n\n2. Create DB:\n```bash\npsql -h localhost -U postgres -c \"CREATE ROLE llamastack LOGIN PASSWORD 'llamastack';\"\npsql -h localhost -U postgres -c \"CREATE DATABASE llamastack OWNER llamastack;\"\npsql -h localhost -U llamastack -d llamastack -c \"CREATE EXTENSION IF NOT EXISTS vector;\"\n```\n\n## Installation\n\nYou can install PGVector using docker:\n\n```bash\ndocker pull pgvector/pgvector:pg17\n```\n## Documentation\nSee [PGVector's documentation](https://github.com/pgvector/pgvector) for more details about PGVector in general.\n","s":"remote::pgvector","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","p":3230},{"i":3247,"t":"Please refer to the inline provider documentation.","s":"remote::qdrant","u":"/v0.3.0/docs/providers/vector_io/remote_qdrant","p":3247},{"i":3254,"t":"[Weaviate](https://weaviate.io/) is a vector database provider for Llama Stack.\nIt allows you to store and query vectors directly within a Weaviate database.\nThat means you're not limited to storing vectors in memory or in a separate service.\n\n## Features\nWeaviate supports:\n- Store embeddings and their metadata\n- Vector search\n- Full-text search\n- Hybrid search\n- Document storage\n- Metadata filtering\n- Multi-modal retrieval\n\n\n## Usage\n\nTo use Weaviate in your Llama Stack project, follow these steps:\n\n1. Install the necessary dependencies.\n2. Configure your Llama Stack project to use chroma.\n3. Start storing and querying vectors.\n\n## Installation\n\nTo install Weaviate see the [Weaviate quickstart documentation](https://weaviate.io/developers/weaviate/quickstart).\n\n## Documentation\nSee [Weaviate's documentation](https://weaviate.io/developers/weaviate) for more details about Weaviate in general.\n","s":"remote::weaviate","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","p":3254},{"i":3269,"t":"Reference documentation for Llama Stack","s":"References","u":"/v0.3.0/docs/references","p":3269},{"i":3271,"t":"The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks.","s":"Evaluations","u":"/v0.3.0/docs/references/evals_reference","p":3271},{"i":3300,"t":"The llama CLI tool helps you set up and use the Llama Stack. The CLI is available on your path after installing the llama-stack package.","s":"llama (server-side) CLI Reference","u":"/v0.3.0/docs/references/llama_cli_reference","p":3300},{"i":3312,"t":"The llama CLI tool helps you setup and use the Llama Stack. 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... \\ --model_id \\ --output_dir You can run llama-stack-client eval run-benchmark help to see the description of all the flags that eval run-benchmark has In the output log, you can find the file path that has your evaluation results. Open that file and you can see you aggregate evaluation results over there.","s":"Run evaluation on open-benchmarks via CLI","u":"/v0.3.0/docs/advanced_apis/evaluation","h":"#run-evaluation-on-open-benchmarks-via-cli","p":13},{"i":28,"t":"Here's a basic example of using the evaluation API: from llama_stack_client import LlamaStackClient client = LlamaStackClient(base_url=\"http://localhost:8321\") # Register a dataset for evaluation client.datasets.register( purpose=\"evaluation\", source={ \"type\": \"uri\", \"uri\": \"huggingface://datasets/llamastack/evaluation_dataset\" }, dataset_id=\"my_eval_dataset\" ) # Run evaluation eval_result = client.eval.run_evaluation( dataset_id=\"my_eval_dataset\", scoring_functions=[\"accuracy\", \"bleu\"], model_id=\"my_model\" ) print(f\"Evaluation completed: {eval_result}\")","s":"Usage Example","u":"/v0.3.0/docs/advanced_apis/evaluation","h":"#usage-example","p":13},{"i":30,"t":"Choose appropriate providers: Use Meta Reference for comprehensive evaluation, NVIDIA for platform-specific needs Configure storage properly: Ensure your key-value store configuration matches your performance requirements Monitor evaluation progress: Large evaluations can take time - implement proper monitoring Use appropriate scoring functions: Select scoring metrics that align with your evaluation goals","s":"Best Practices","u":"/v0.3.0/docs/advanced_apis/evaluation","h":"#best-practices","p":13},{"i":32,"t":"Check out our Colab notebook on working examples with running benchmark evaluations here. Check out our Building Applications - Evaluation guide for more details on how to use the Evaluation APIs to evaluate your applications. Check out our Evaluation Reference for more details on the APIs. Explore the Scoring documentation for available scoring functions.","s":"What's Next?","u":"/v0.3.0/docs/advanced_apis/evaluation","h":"#whats-next","p":13},{"i":34,"t":"Post-training in Llama Stack allows you to fine-tune models using various providers and frameworks. This section covers all available post-training providers and how to use them effectively.","s":"Post-Training","u":"/v0.3.0/docs/advanced_apis/post_training","h":"","p":33},{"i":36,"t":"Llama Stack provides multiple post-training providers: HuggingFace SFTTrainer (inline::huggingface) - Fine-tuning using HuggingFace ecosystem TorchTune (inline::torchtune) - Fine-tuning using Meta's TorchTune framework NVIDIA (remote::nvidia) - Fine-tuning using NVIDIA's platform","s":"Overview","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#overview","p":33},{"i":38,"t":"HuggingFace SFTTrainer is an inline post training provider for Llama Stack. It allows you to run supervised fine tuning on a variety of models using many datasets.","s":"HuggingFace SFTTrainer","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#huggingface-sfttrainer","p":33},{"i":40,"t":"Simple access through the post_training API Fully integrated with Llama Stack GPU support, CPU support, and MPS support (MacOS Metal Performance Shaders)","s":"Features","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#features","p":33},{"i":42,"t":"Field Type Required Default Description device str No cuda distributed_backend Literal['fsdp', 'deepspeed'] No checkpoint_format Literal['full_state', 'huggingface'] No huggingface chat_template str No model_specific_config dict No {'trust_remote_code': True, 'attn_implementation': 'sdpa'} max_seq_length int No 2048 gradient_checkpointing bool No False save_total_limit int No 3 logging_steps int No 10 warmup_ratio float No 0.1 weight_decay float No 0.01 dataloader_num_workers int No 4 dataloader_pin_memory bool No True","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#configuration","p":33},{"i":44,"t":"checkpoint_format: huggingface distributed_backend: null device: cpu","s":"Sample Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#sample-configuration","p":33},{"i":46,"t":"You can access the HuggingFace trainer via the starter distribution: llama stack list-deps starter | xargs -L1 uv pip install llama stack run starter","s":"Setup","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#setup","p":33},{"i":48,"t":"import time import uuid from llama_stack_client.types import ( post_training_supervised_fine_tune_params, algorithm_config_param, ) def create_http_client(): from llama_stack_client import LlamaStackClient return LlamaStackClient(base_url=\"http://localhost:8321\") client = create_http_client() # Example Dataset client.datasets.register( purpose=\"post-training/messages\", source={ \"type\": \"uri\", \"uri\": \"huggingface://datasets/llamastack/simpleqa?split=train\", }, dataset_id=\"simpleqa\", ) training_config = post_training_supervised_fine_tune_params.TrainingConfig( data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig( batch_size=32, data_format=\"instruct\", dataset_id=\"simpleqa\", shuffle=True, ), gradient_accumulation_steps=1, max_steps_per_epoch=0, max_validation_steps=1, n_epochs=4, ) algorithm_config = algorithm_config_param.LoraFinetuningConfig( alpha=1, apply_lora_to_mlp=True, apply_lora_to_output=False, lora_attn_modules=[\"q_proj\"], rank=1, type=\"LoRA\", ) job_uuid = f\"test-job{uuid.uuid4()}\" # Example Model training_model = \"ibm-granite/granite-3.3-8b-instruct\" start_time = time.time() response = client.post_training.supervised_fine_tune( job_uuid=job_uuid, logger_config={}, model=training_model, hyperparam_search_config={}, training_config=training_config, algorithm_config=algorithm_config, checkpoint_dir=\"output\", ) print(\"Job: \", job_uuid) # Wait for the job to complete! while True: status = client.post_training.job.status(job_uuid=job_uuid) if not status: print(\"Job not found\") break print(status) if status.status == \"completed\": break print(\"Waiting for job to complete...\") time.sleep(5) end_time = time.time() print(\"Job completed in\", end_time - start_time, \"seconds!\") print(\"Artifacts:\") print(client.post_training.job.artifacts(job_uuid=job_uuid))","s":"Usage Example","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#usage-example","p":33},{"i":50,"t":"TorchTune is an inline post training provider for Llama Stack. It provides a simple and efficient way to fine-tune language models using PyTorch.","s":"TorchTune","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#torchtune","p":33},{"i":52,"t":"Simple access through the post_training API Fully integrated with Llama Stack GPU support and single device capabilities Support for LoRA","s":"Features","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#features-1","p":33},{"i":54,"t":"Field Type Required Default Description torch_seed int | None No checkpoint_format Literal['meta', 'huggingface'] No meta","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#configuration-1","p":33},{"i":56,"t":"checkpoint_format: meta","s":"Sample Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#sample-configuration-1","p":33},{"i":58,"t":"You can access the TorchTune trainer by writing your own yaml pointing to the provider: post_training: - provider_id: torchtune provider_type: inline::torchtune config: {} You can then build and run your own stack with this provider.","s":"Setup","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#setup-1","p":33},{"i":60,"t":"import time import uuid from llama_stack_client.types import ( post_training_supervised_fine_tune_params, algorithm_config_param, ) def create_http_client(): from llama_stack_client import LlamaStackClient return LlamaStackClient(base_url=\"http://localhost:8321\") client = create_http_client() # Example Dataset client.datasets.register( purpose=\"post-training/messages\", source={ \"type\": \"uri\", \"uri\": \"huggingface://datasets/llamastack/simpleqa?split=train\", }, dataset_id=\"simpleqa\", ) training_config = post_training_supervised_fine_tune_params.TrainingConfig( data_config=post_training_supervised_fine_tune_params.TrainingConfigDataConfig( batch_size=32, data_format=\"instruct\", dataset_id=\"simpleqa\", shuffle=True, ), gradient_accumulation_steps=1, max_steps_per_epoch=0, max_validation_steps=1, n_epochs=4, ) algorithm_config = algorithm_config_param.LoraFinetuningConfig( alpha=1, apply_lora_to_mlp=True, apply_lora_to_output=False, lora_attn_modules=[\"q_proj\"], rank=1, type=\"LoRA\", ) job_uuid = f\"test-job{uuid.uuid4()}\" # Example Model training_model = \"meta-llama/Llama-2-7b-hf\" start_time = time.time() response = client.post_training.supervised_fine_tune( job_uuid=job_uuid, logger_config={}, model=training_model, hyperparam_search_config={}, training_config=training_config, algorithm_config=algorithm_config, checkpoint_dir=\"output\", ) print(\"Job: \", job_uuid) # Wait for the job to complete! while True: status = client.post_training.job.status(job_uuid=job_uuid) if not status: print(\"Job not found\") break print(status) if status.status == \"completed\": break print(\"Waiting for job to complete...\") time.sleep(5) end_time = time.time() print(\"Job completed in\", end_time - start_time, \"seconds!\") print(\"Artifacts:\") print(client.post_training.job.artifacts(job_uuid=job_uuid))","s":"Usage Example","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#usage-example-1","p":33},{"i":62,"t":"NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.","s":"NVIDIA","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#nvidia","p":33},{"i":64,"t":"Field Type Required Default Description api_key str | None No The NVIDIA API key. dataset_namespace str | None No default The NVIDIA dataset namespace. project_id str | None No test-example-model@v1 The NVIDIA project ID. customizer_url str | None No Base URL for the NeMo Customizer API timeout int No 300 Timeout for the NVIDIA Post Training API max_retries int No 3 Maximum number of retries for the NVIDIA Post Training API output_model_dir str No test-example-model@v1 Directory to save the output model","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#configuration-2","p":33},{"i":66,"t":"api_key: ${env.NVIDIA_API_KEY:=} dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default} project_id: ${env.NVIDIA_PROJECT_ID:=test-project} customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:=http://nemo.test}","s":"Sample Configuration","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#sample-configuration-2","p":33},{"i":68,"t":"Choose the right provider: Use HuggingFace for broader compatibility, TorchTune for Meta models, or NVIDIA for their ecosystem Configure hardware appropriately: Ensure your configuration matches your available hardware (CPU, GPU, MPS) Monitor jobs: Always monitor job status and handle completion appropriately Use appropriate datasets: Ensure your dataset format matches the expected input format for your chosen provider","s":"Best Practices","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#best-practices","p":33},{"i":70,"t":"Check out the Building Applications - Fine-tuning guide for application-level examples See the Providers section for detailed provider documentation Review the API Reference for complete API documentation","s":"Next Steps","u":"/v0.3.0/docs/advanced_apis/post_training","h":"#next-steps","p":33},{"i":72,"t":"The Scoring API in Llama Stack allows you to evaluate outputs of your GenAI system using various scoring functions and metrics. This section covers all available scoring providers and their configuration.","s":"Scoring","u":"/v0.3.0/docs/advanced_apis/scoring","h":"","p":71},{"i":74,"t":"Llama Stack provides multiple scoring providers: Basic (inline::basic) - Simple evaluation metrics and scoring functions Braintrust (inline::braintrust) - Advanced evaluation using the Braintrust platform LLM-as-Judge (inline::llm-as-judge) - Uses language models to evaluate responses The Scoring API is associated with ScoringFunction resources and provides a suite of out-of-the-box scoring functions. You can also add custom evaluators to meet specific evaluation needs.","s":"Overview","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#overview","p":71},{"i":76,"t":"Basic scoring provider for simple evaluation metrics and scoring functions. This provider offers fundamental scoring capabilities without external dependencies.","s":"Basic Scoring","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#basic-scoring","p":71},{"i":78,"t":"No configuration required - this provider works out of the box. {}","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#configuration","p":71},{"i":80,"t":"Simple evaluation metrics (accuracy, precision, recall, F1-score) String matching and similarity metrics Basic statistical scoring functions No external dependencies required Fast execution for standard metrics","s":"Features","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#features","p":71},{"i":82,"t":"Quick evaluation of basic accuracy metrics String similarity comparisons Statistical analysis of model outputs Development and testing scenarios","s":"Use Cases","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#use-cases","p":71},{"i":84,"t":"Braintrust scoring provider for evaluation and scoring using the Braintrust platform. Braintrust provides advanced evaluation capabilities and experiment tracking.","s":"Braintrust","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#braintrust","p":71},{"i":86,"t":"Field Type Required Default Description openai_api_key str | None No The OpenAI API Key for LLM-powered evaluations","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#configuration-1","p":71},{"i":88,"t":"openai_api_key: ${env.OPENAI_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#sample-configuration","p":71},{"i":90,"t":"Advanced evaluation metrics Experiment tracking and comparison LLM-powered evaluation functions Integration with Braintrust's evaluation suite Detailed scoring analytics and insights","s":"Features","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#features-1","p":71},{"i":92,"t":"Production evaluation pipelines A/B testing of model versions Advanced scoring with custom metrics Detailed evaluation reporting and analysis","s":"Use Cases","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#use-cases-1","p":71},{"i":94,"t":"LLM-as-judge scoring provider that uses language models to evaluate and score responses. This approach leverages the reasoning capabilities of large language models to assess quality, relevance, and other subjective metrics.","s":"LLM-as-Judge","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#llm-as-judge","p":71},{"i":96,"t":"No configuration required - this provider works out of the box. {}","s":"Configuration","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#configuration-2","p":71},{"i":98,"t":"Subjective quality evaluation using LLMs Flexible evaluation criteria definition Natural language evaluation explanations Support for complex evaluation scenarios Contextual understanding of responses","s":"Features","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#features-2","p":71},{"i":100,"t":"Evaluating response quality and relevance Assessing creativity and coherence Subjective metric evaluation Human-like judgment for complex tasks","s":"Use Cases","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#use-cases-2","p":71},{"i":103,"t":"from llama_stack_client import LlamaStackClient client = LlamaStackClient(base_url=\"http://localhost:8321\") # Register a basic accuracy scoring function client.scoring_functions.register( scoring_function_id=\"basic_accuracy\", provider_id=\"basic\", provider_scoring_function_id=\"accuracy\" ) # Use the scoring function result = client.scoring.score( input_rows=[ {\"expected\": \"Paris\", \"actual\": \"Paris\"}, {\"expected\": \"London\", \"actual\": \"Paris\"} ], scoring_function_id=\"basic_accuracy\" ) print(f\"Accuracy: {result.results[0].score}\")","s":"Basic Scoring Example","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#basic-scoring-example","p":71},{"i":105,"t":"# Register an LLM-as-judge scoring function client.scoring_functions.register( scoring_function_id=\"quality_judge\", provider_id=\"llm_judge\", provider_scoring_function_id=\"response_quality\", params={ \"criteria\": \"Evaluate response quality, relevance, and helpfulness\", \"scale\": \"1-10\" } ) # Score responses using LLM judgment result = client.scoring.score( input_rows=[{ \"query\": \"What is machine learning?\", \"response\": \"Machine learning is a subset of AI that enables computers to learn patterns from data...\" }], scoring_function_id=\"quality_judge\" )","s":"LLM-as-Judge Example","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#llm-as-judge-example","p":71},{"i":107,"t":"# Register a Braintrust scoring function client.scoring_functions.register( scoring_function_id=\"braintrust_eval\", provider_id=\"braintrust\", provider_scoring_function_id=\"semantic_similarity\" ) # Run evaluation with Braintrust result = client.scoring.score( input_rows=[{ \"reference\": \"The capital of France is Paris\", \"candidate\": \"Paris is the capital city of France\" }], scoring_function_id=\"braintrust_eval\" )","s":"Braintrust Integration Example","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#braintrust-integration-example","p":71},{"i":109,"t":"Choose appropriate providers: Use Basic for simple metrics, Braintrust for advanced analytics, LLM-as-Judge for subjective evaluation Define clear criteria: When using LLM-as-Judge, provide specific evaluation criteria and scales Validate scoring functions: Test your scoring functions with known examples before production use Monitor performance: Track scoring performance and adjust thresholds based on results Combine multiple metrics: Use different scoring providers together for comprehensive evaluation","s":"Best Practices","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#best-practices","p":71},{"i":111,"t":"The Scoring API works closely with the Evaluation API to provide comprehensive evaluation workflows: Datasets are loaded via the DatasetIO API Evaluation generates model outputs using the Eval API Scoring evaluates the quality of outputs using various scoring functions Results are aggregated and reported for analysis","s":"Integration with Evaluation","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#integration-with-evaluation","p":71},{"i":113,"t":"Check out the Evaluation guide for running complete evaluations See the Building Applications - Evaluation guide for application examples Review the Evaluation Reference for comprehensive scoring function usage Explore the Evaluation Concepts for detailed conceptual information","s":"Next Steps","u":"/v0.3.0/docs/advanced_apis/scoring","h":"#next-steps","p":71},{"i":115,"t":"APIs for creating and interacting with agentic systems.","s":"Agents","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":117,"t":"⚠️ DEPRECATED: These APIs are provided for migration reference and will be removed in future versions. Not recommended for new projects.","s":"Deprecated APIs","u":"/v0.3.0/docs/api-deprecated/agents","h":"#deprecated-apis","p":114},{"i":119,"t":"If you are using deprecated versions of the Agents or Responses APIs, please migrate to: Responses API: Use the stable v1 Responses API endpoints 📄️ List all agents. List all agents. 📄️ Create an agent with the given configuration. Create an agent with the given configuration. 📄️ Describe an agent by its ID. Describe an agent by its ID. 📄️ Delete an agent by its ID and its associated sessions and turns. Delete an agent by its ID and its associated sessions and turns. 📄️ Create a new session for an agent. Create a new session for an agent. 📄️ Retrieve an agent session by its ID. Retrieve an agent session by its ID. 📄️ Delete an agent session by its ID and its associated turns. Delete an agent session by its ID and its associated turns. 📄️ Create a new turn for an agent. Create a new turn for an agent. 📄️ Retrieve an agent turn by its ID. Retrieve an agent turn by its ID. 📄️ Resume an agent turn with executed tool call responses. Resume an agent turn with executed tool call responses. 📄️ Retrieve an agent step by its ID. Retrieve an agent step by its ID. 📄️ List all session(s) of a given agent. List all session(s) of a given agent. 📄️ List all responses. List all responses. 📄️ Create a model response. Create a model response. 📄️ Get a model response. Get a model response. 📄️ Delete a response. Delete a response. 📄️ List input items. List input items.","s":"Migration Guidance","u":"/v0.3.0/docs/api-deprecated/agents","h":"#migration-guidance","p":114},{"i":121,"t":"List all agents.","s":"📄️ List all agents.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":123,"t":"Create an agent with the given configuration.","s":"📄️ Create an agent with the given configuration.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":125,"t":"Describe an agent by its ID.","s":"📄️ Describe an agent by its ID.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":127,"t":"Delete an agent by its ID and its associated sessions and turns.","s":"📄️ Delete an agent by its ID and its associated sessions and turns.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":129,"t":"Create a new session for an agent.","s":"📄️ Create a new session for an agent.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":131,"t":"Retrieve an agent session by its ID.","s":"📄️ Retrieve an agent session by its ID.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":133,"t":"Delete an agent session by its ID and its associated turns.","s":"📄️ Delete an agent session by its ID and its associated turns.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":135,"t":"Create a new turn for an agent.","s":"📄️ Create a new turn for an agent.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":137,"t":"Retrieve an agent turn by its ID.","s":"📄️ Retrieve an agent turn by its ID.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":139,"t":"Resume an agent turn with executed tool call responses.","s":"📄️ Resume an agent turn with executed tool call responses.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":141,"t":"Retrieve an agent step by its ID.","s":"📄️ Retrieve an agent step by its ID.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":143,"t":"List all session(s) of a given agent.","s":"📄️ List all session(s) of a given agent.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":145,"t":"List all responses.","s":"📄️ List all responses.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":147,"t":"Create a model response.","s":"📄️ Create a model response.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":149,"t":"Get a model response.","s":"📄️ Get a model response.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":151,"t":"Delete a response.","s":"📄️ Delete a response.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":153,"t":"List input items.","s":"📄️ List input items.","u":"/v0.3.0/docs/api-deprecated/agents","h":"","p":114},{"i":155,"t":"POST /v1/datasetio/append-rows/:dataset_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Append rows to a dataset.","s":"Append rows to a dataset.","u":"/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset","h":"","p":154},{"i":158,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset","h":"#request","p":154},{"i":160,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/append-rows-to-a-dataset","h":"#responses","p":154},{"i":162,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id/files deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Attach a file to a vector store.","s":"Attach a file to a vector store.","u":"/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store","h":"","p":161},{"i":165,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the attached file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store","h":"#request","p":161},{"i":167,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/attach-a-file-to-a-vector-store","h":"#responses","p":161},{"i":170,"t":"List all benchmarks.","s":"📄️ List all benchmarks.","u":"/v0.3.0/docs/api-deprecated/benchmarks","h":"","p":168},{"i":172,"t":"Register a benchmark.","s":"📄️ Register a benchmark.","u":"/v0.3.0/docs/api-deprecated/benchmarks","h":"","p":168},{"i":174,"t":"Get a benchmark by its ID.","s":"📄️ Get a benchmark by its ID.","u":"/v0.3.0/docs/api-deprecated/benchmarks","h":"","p":168},{"i":176,"t":"Unregister a benchmark.","s":"📄️ Unregister a benchmark.","u":"/v0.3.0/docs/api-deprecated/benchmarks","h":"","p":168},{"i":178,"t":"DELETE /v1/eval/benchmarks/:benchmark_id/jobs/:job_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Cancel a job.","s":"Cancel a job.","u":"/v0.3.0/docs/api-deprecated/cancel-a-job","h":"","p":177},{"i":181,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/cancel-a-job","h":"#request","p":177},{"i":183,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/cancel-a-job","h":"#responses","p":177},{"i":185,"t":"POST /v1/post-training/job/cancel deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Cancel a training job.","s":"Cancel a training job.","u":"/v0.3.0/docs/api-deprecated/cancel-a-training-job","h":"","p":184},{"i":188,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/cancel-a-training-job","h":"#request","p":184},{"i":190,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/cancel-a-training-job","h":"#responses","p":184},{"i":192,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id/cancel deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Cancels a vector store file batch.","s":"Cancels a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch","h":"","p":191},{"i":195,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the cancelled file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch","h":"#request","p":191},{"i":197,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/cancels-a-vector-store-file-batch","h":"#responses","p":191},{"i":199,"t":"POST /v1/openai/v1/responses deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create a model response.","s":"Create a model response.","u":"/v0.3.0/docs/api-deprecated/create-a-model-response","h":"","p":198},{"i":202,"t":"Responses​ 200 400 429 500 default An OpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-a-model-response","h":"#request","p":198},{"i":204,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-a-model-response","h":"#responses","p":198},{"i":206,"t":"POST /v1/agents/:agent_id/session deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create a new session for an agent.","s":"Create a new session for an agent.","u":"/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent","h":"","p":205},{"i":209,"t":"Responses​ 200 400 429 500 default An AgentSessionCreateResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent","h":"#request","p":205},{"i":211,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-a-new-session-for-an-agent","h":"#responses","p":205},{"i":213,"t":"POST /v1/agents/:agent_id/session/:session_id/turn deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create a new turn for an agent.","s":"Create a new turn for an agent.","u":"/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent","h":"","p":212},{"i":216,"t":"Responses​ 200 400 429 500 default If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent","h":"#request","p":212},{"i":218,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-a-new-turn-for-an-agent","h":"#responses","p":212},{"i":220,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id/file_batches deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create a vector store file batch. Generate an OpenAI-compatible vector store file batch for the given vector store.","s":"Create a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch","h":"","p":219},{"i":223,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the created file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch","h":"#request","p":219},{"i":225,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-a-vector-store-file-batch","h":"#responses","p":219},{"i":227,"t":"POST /v1/agents deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create an agent with the given configuration.","s":"Create an agent with the given configuration.","u":"/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration","h":"","p":226},{"i":230,"t":"Responses​ 200 400 429 500 default An AgentCreateResponse with the agent ID. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration","h":"#request","p":226},{"i":232,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-an-agent-with-the-given-configuration","h":"#responses","p":226},{"i":234,"t":"POST /v1/openai/v1/chat/completions deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create chat completions. Generate an OpenAI-compatible chat completion for the given messages using the specified model.","s":"Create chat completions.","u":"/v0.3.0/docs/api-deprecated/create-chat-completions","h":"","p":233},{"i":237,"t":"Responses​ 200 400 429 500 default An OpenAIChatCompletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-chat-completions","h":"#request","p":233},{"i":239,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-chat-completions","h":"#responses","p":233},{"i":241,"t":"POST /v1/openai/v1/completions deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create completion. Generate an OpenAI-compatible completion for the given prompt using the specified model.","s":"Create completion.","u":"/v0.3.0/docs/api-deprecated/create-completion","h":"","p":240},{"i":244,"t":"Responses​ 200 400 429 500 default An OpenAICompletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-completion","h":"#request","p":240},{"i":246,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-completion","h":"#responses","p":240},{"i":248,"t":"POST /v1/openai/v1/embeddings deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create embeddings. Generate OpenAI-compatible embeddings for the given input using the specified model.","s":"Create embeddings.","u":"/v0.3.0/docs/api-deprecated/create-embeddings","h":"","p":247},{"i":251,"t":"Responses​ 200 400 429 500 default An OpenAIEmbeddingsResponse containing the embeddings. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-embeddings","h":"#request","p":247},{"i":253,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-embeddings","h":"#responses","p":247},{"i":255,"t":"POST /v1/openai/v1/moderations deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Create moderation. Classifies if text and/or image inputs are potentially harmful.","s":"Create moderation.","u":"/v0.3.0/docs/api-deprecated/create-moderation","h":"","p":254},{"i":258,"t":"Responses​ 200 400 429 500 default A moderation object. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/create-moderation","h":"#request","p":254},{"i":260,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/create-moderation","h":"#responses","p":254},{"i":262,"t":"POST /v1/openai/v1/vector_stores deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Creates a vector store. Generate an OpenAI-compatible vector store with the given parameters.","s":"Creates a vector store.","u":"/v0.3.0/docs/api-deprecated/creates-a-vector-store","h":"","p":261},{"i":265,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the created vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/creates-a-vector-store","h":"#request","p":261},{"i":267,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/creates-a-vector-store","h":"#responses","p":261},{"i":270,"t":"Append rows to a dataset.","s":"📄️ Append rows to a dataset.","u":"/v0.3.0/docs/api-deprecated/dataset-io","h":"","p":268},{"i":272,"t":"Get a paginated list of rows from a dataset.","s":"📄️ Get a paginated list of rows from a dataset.","u":"/v0.3.0/docs/api-deprecated/dataset-io","h":"","p":268},{"i":275,"t":"List all datasets.","s":"📄️ List all datasets.","u":"/v0.3.0/docs/api-deprecated/datasets","h":"","p":273},{"i":277,"t":"Register a new dataset.","s":"📄️ Register a new dataset.","u":"/v0.3.0/docs/api-deprecated/datasets","h":"","p":273},{"i":279,"t":"Get a dataset by its ID.","s":"📄️ Get a dataset by its ID.","u":"/v0.3.0/docs/api-deprecated/datasets","h":"","p":273},{"i":281,"t":"Unregister a dataset by its ID.","s":"📄️ Unregister a dataset by its ID.","u":"/v0.3.0/docs/api-deprecated/datasets","h":"","p":273},{"i":283,"t":"DELETE /v1/openai/v1/responses/:response_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete a response.","s":"Delete a response.","u":"/v0.3.0/docs/api-deprecated/delete-a-response","h":"","p":282},{"i":286,"t":"Responses​ 200 400 429 500 default An OpenAIDeleteResponseObject The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-a-response","h":"#request","p":282},{"i":288,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-a-response","h":"#responses","p":282},{"i":290,"t":"DELETE /v1/openai/v1/vector_stores/:vector_store_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete a vector store.","s":"Delete a vector store.","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store","h":"","p":289},{"i":293,"t":"Responses​ 200 400 429 500 default A VectorStoreDeleteResponse indicating the deletion status. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store","h":"#request","p":289},{"i":295,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store","h":"#responses","p":289},{"i":297,"t":"DELETE /v1/openai/v1/vector_stores/:vector_store_id/files/:file_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete a vector store file.","s":"Delete a vector store file.","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store-file","h":"","p":296},{"i":300,"t":"Responses​ 200 400 429 500 default A VectorStoreFileDeleteResponse indicating the deletion status. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store-file","h":"#request","p":296},{"i":302,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-a-vector-store-file","h":"#responses","p":296},{"i":304,"t":"DELETE /v1/agents/:agent_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete an agent by its ID and its associated sessions and turns.","s":"Delete an agent by its ID and its associated sessions and turns.","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"","p":303},{"i":307,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"#request","p":303},{"i":309,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"#responses","p":303},{"i":311,"t":"DELETE /v1/agents/:agent_id/session/:session_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete an agent session by its ID and its associated turns.","s":"Delete an agent session by its ID and its associated turns.","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"","p":310},{"i":314,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"#request","p":310},{"i":316,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"#responses","p":310},{"i":318,"t":"DELETE /v1/openai/v1/files/:file_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Delete file.","s":"Delete file.","u":"/v0.3.0/docs/api-deprecated/delete-file","h":"","p":317},{"i":321,"t":"Responses​ 200 400 429 500 default An OpenAIFileDeleteResponse indicating successful deletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/delete-file","h":"#request","p":317},{"i":323,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/delete-file","h":"#responses","p":317},{"i":325,"t":"GET /v1/agents/:agent_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Describe an agent by its ID.","s":"Describe an agent by its ID.","u":"/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id","h":"","p":324},{"i":328,"t":"Responses​ 200 400 429 500 default An Agent of the agent. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id","h":"#request","p":324},{"i":330,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/describe-an-agent-by-its-id","h":"#responses","p":324},{"i":333,"t":"Evaluate a list of rows on a benchmark.","s":"📄️ Evaluate a list of rows on a benchmark.","u":"/v0.3.0/docs/api-deprecated/eval","h":"","p":331},{"i":335,"t":"Run an evaluation on a benchmark.","s":"📄️ Run an evaluation on a benchmark.","u":"/v0.3.0/docs/api-deprecated/eval","h":"","p":331},{"i":337,"t":"Get the status of a job.","s":"📄️ Get the status of a job.","u":"/v0.3.0/docs/api-deprecated/eval","h":"","p":331},{"i":339,"t":"Cancel a job.","s":"📄️ Cancel a job.","u":"/v0.3.0/docs/api-deprecated/eval","h":"","p":331},{"i":341,"t":"Get the result of a job.","s":"📄️ Get the result of a job.","u":"/v0.3.0/docs/api-deprecated/eval","h":"","p":331},{"i":343,"t":"POST /v1/eval/benchmarks/:benchmark_id/evaluations deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Evaluate a list of rows on a benchmark.","s":"Evaluate a list of rows on a benchmark.","u":"/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark","h":"","p":342},{"i":346,"t":"Responses​ 200 400 429 500 default EvaluateResponse object containing generations and scores. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark","h":"#request","p":342},{"i":348,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/evaluate-a-list-of-rows-on-a-benchmark","h":"#responses","p":342},{"i":351,"t":"List files.","s":"📄️ List files.","u":"/v0.3.0/docs/api-deprecated/files","h":"","p":349},{"i":353,"t":"Upload file.","s":"📄️ Upload file.","u":"/v0.3.0/docs/api-deprecated/files","h":"","p":349},{"i":355,"t":"Retrieve file.","s":"📄️ Retrieve file.","u":"/v0.3.0/docs/api-deprecated/files","h":"","p":349},{"i":357,"t":"Delete file.","s":"📄️ Delete file.","u":"/v0.3.0/docs/api-deprecated/files","h":"","p":349},{"i":359,"t":"Retrieve file content.","s":"📄️ Retrieve file content.","u":"/v0.3.0/docs/api-deprecated/files","h":"","p":349},{"i":361,"t":"GET /v1/eval/benchmarks/:benchmark_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get a benchmark by its ID.","s":"Get a benchmark by its ID.","u":"/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id","h":"","p":360},{"i":364,"t":"Responses​ 200 400 429 500 default A Benchmark. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id","h":"#request","p":360},{"i":366,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-a-benchmark-by-its-id","h":"#responses","p":360},{"i":368,"t":"GET /v1/datasets/:dataset_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get a dataset by its ID.","s":"Get a dataset by its ID.","u":"/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id","h":"","p":367},{"i":371,"t":"Responses​ 200 400 429 500 default A Dataset. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id","h":"#request","p":367},{"i":373,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-a-dataset-by-its-id","h":"#responses","p":367},{"i":375,"t":"GET /v1/openai/v1/responses/:response_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get a model response.","s":"Get a model response.","u":"/v0.3.0/docs/api-deprecated/get-a-model-response","h":"","p":374},{"i":378,"t":"Responses​ 200 400 429 500 default An OpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-a-model-response","h":"#request","p":374},{"i":380,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-a-model-response","h":"#responses","p":374},{"i":382,"t":"GET /v1/datasetio/iterrows/:dataset_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get a paginated list of rows from a dataset. Uses offset-based pagination where: start_index: The starting index (0-based). If None, starts from beginning. limit: Number of items to return. If None or -1, returns all items. The response includes: data: List of items for the current page. has_more: Whether there are more items available after this set.","s":"Get a paginated list of rows from a dataset.","u":"/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset","h":"","p":381},{"i":385,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset","h":"#request","p":381},{"i":387,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-a-paginated-list-of-rows-from-a-dataset","h":"#responses","p":381},{"i":389,"t":"GET /v1/post-training/jobs deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get all training jobs.","s":"Get all training jobs.","u":"/v0.3.0/docs/api-deprecated/get-all-training-jobs","h":"","p":388},{"i":392,"t":"Responses​ 200 400 429 500 default A ListPostTrainingJobsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-all-training-jobs","h":"#request","p":388},{"i":394,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-all-training-jobs","h":"#responses","p":388},{"i":396,"t":"GET /v1/openai/v1/chat/completions/:completion_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get chat completion. Describe a chat completion by its ID.","s":"Get chat completion.","u":"/v0.3.0/docs/api-deprecated/get-chat-completion","h":"","p":395},{"i":399,"t":"Responses​ 200 400 429 500 default A OpenAICompletionWithInputMessages. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-chat-completion","h":"#request","p":395},{"i":401,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-chat-completion","h":"#responses","p":395},{"i":403,"t":"GET /v1/post-training/job/artifacts deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get the artifacts of a training job.","s":"Get the artifacts of a training job.","u":"/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job","h":"","p":402},{"i":406,"t":"Responses​ 200 400 429 500 default A PostTrainingJobArtifactsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job","h":"#request","p":402},{"i":408,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-the-artifacts-of-a-training-job","h":"#responses","p":402},{"i":410,"t":"GET /v1/eval/benchmarks/:benchmark_id/jobs/:job_id/result deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get the result of a job.","s":"Get the result of a job.","u":"/v0.3.0/docs/api-deprecated/get-the-result-of-a-job","h":"","p":409},{"i":413,"t":"Responses​ 200 400 429 500 default The result of the job. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-the-result-of-a-job","h":"#request","p":409},{"i":415,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-the-result-of-a-job","h":"#responses","p":409},{"i":417,"t":"GET /v1/eval/benchmarks/:benchmark_id/jobs/:job_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get the status of a job.","s":"Get the status of a job.","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-job","h":"","p":416},{"i":420,"t":"Responses​ 200 400 429 500 default The status of the evaluation job. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-job","h":"#request","p":416},{"i":422,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-job","h":"#responses","p":416},{"i":424,"t":"GET /v1/post-training/job/status deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Get the status of a training job.","s":"Get the status of a training job.","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job","h":"","p":423},{"i":427,"t":"Responses​ 200 400 429 500 default A PostTrainingJobStatusResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job","h":"#request","p":423},{"i":429,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/get-the-status-of-a-training-job","h":"#responses","p":423},{"i":432,"t":"List chat completions.","s":"📄️ List chat completions.","u":"/v0.3.0/docs/api-deprecated/inference","h":"","p":430},{"i":434,"t":"Create chat completions.","s":"📄️ Create chat completions.","u":"/v0.3.0/docs/api-deprecated/inference","h":"","p":430},{"i":436,"t":"Get chat completion.","s":"📄️ Get chat completion.","u":"/v0.3.0/docs/api-deprecated/inference","h":"","p":430},{"i":438,"t":"Create completion.","s":"📄️ Create completion.","u":"/v0.3.0/docs/api-deprecated/inference","h":"","p":430},{"i":440,"t":"Create embeddings.","s":"📄️ Create embeddings.","u":"/v0.3.0/docs/api-deprecated/inference","h":"","p":430},{"i":442,"t":"GET /v1/agents deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List all agents.","s":"List all agents.","u":"/v0.3.0/docs/api-deprecated/list-all-agents","h":"","p":441},{"i":445,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-all-agents","h":"#request","p":441},{"i":447,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-all-agents","h":"#responses","p":441},{"i":449,"t":"GET /v1/eval/benchmarks deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List all benchmarks.","s":"List all benchmarks.","u":"/v0.3.0/docs/api-deprecated/list-all-benchmarks","h":"","p":448},{"i":452,"t":"Responses​ 200 400 429 500 default A ListBenchmarksResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-all-benchmarks","h":"#request","p":448},{"i":454,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-all-benchmarks","h":"#responses","p":448},{"i":456,"t":"GET /v1/datasets deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List all datasets.","s":"List all datasets.","u":"/v0.3.0/docs/api-deprecated/list-all-datasets","h":"","p":455},{"i":459,"t":"Responses​ 200 400 429 500 default A ListDatasetsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-all-datasets","h":"#request","p":455},{"i":461,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-all-datasets","h":"#responses","p":455},{"i":463,"t":"GET /v1/openai/v1/responses deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List all responses.","s":"List all responses.","u":"/v0.3.0/docs/api-deprecated/list-all-responses","h":"","p":462},{"i":466,"t":"Responses​ 200 400 429 500 default A ListOpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-all-responses","h":"#request","p":462},{"i":468,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-all-responses","h":"#responses","p":462},{"i":470,"t":"GET /v1/agents/:agent_id/sessions deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List all session(s) of a given agent.","s":"List all session(s) of a given agent.","u":"/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent","h":"","p":469},{"i":473,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent","h":"#request","p":469},{"i":475,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-all-session-s-of-a-given-agent","h":"#responses","p":469},{"i":477,"t":"GET /v1/openai/v1/chat/completions deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List chat completions.","s":"List chat completions.","u":"/v0.3.0/docs/api-deprecated/list-chat-completions","h":"","p":476},{"i":480,"t":"Responses​ 200 400 429 500 default A ListOpenAIChatCompletionResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-chat-completions","h":"#request","p":476},{"i":482,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-chat-completions","h":"#responses","p":476},{"i":484,"t":"GET /v1/openai/v1/files deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List files. Returns a list of files that belong to the user's organization.","s":"List files.","u":"/v0.3.0/docs/api-deprecated/list-files","h":"","p":483},{"i":487,"t":"Responses​ 200 400 429 500 default An ListOpenAIFileResponse containing the list of files. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-files","h":"#request","p":483},{"i":489,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-files","h":"#responses","p":483},{"i":491,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id/files deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List files in a vector store.","s":"List files in a vector store.","u":"/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store","h":"","p":490},{"i":494,"t":"Responses​ 200 400 429 500 default A VectorStoreListFilesResponse containing the list of files. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store","h":"#request","p":490},{"i":496,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-files-in-a-vector-store","h":"#responses","p":490},{"i":498,"t":"GET /v1/openai/v1/responses/:response_id/input_items deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List input items.","s":"List input items.","u":"/v0.3.0/docs/api-deprecated/list-input-items","h":"","p":497},{"i":501,"t":"Responses​ 200 400 429 500 default An ListOpenAIResponseInputItem. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-input-items","h":"#request","p":497},{"i":503,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-input-items","h":"#responses","p":497},{"i":505,"t":"GET /v1/openai/v1/models deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. List models using the OpenAI API.","s":"List models using the OpenAI API.","u":"/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api","h":"","p":504},{"i":508,"t":"Responses​ 200 400 429 500 default A OpenAIListModelsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api","h":"#request","p":504},{"i":510,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/list-models-using-the-open-ai-api","h":"#responses","p":504},{"i":512,"t":"This is the specification of the Llama Stack that provides a set of endpoints and their corresponding interfaces that are tailored to best leverage Llama Models. ⚠️ DEPRECATED: Legacy APIs that may be removed in future versions. Use for migration reference only.","s":"Llama Stack Specification - Deprecated APIs","u":"/v0.3.0/docs/api-deprecated/llama-stack-specification-deprecated-apis","h":"","p":511},{"i":515,"t":"List models using the OpenAI API.","s":"📄️ List models using the OpenAI API.","u":"/v0.3.0/docs/api-deprecated/models","h":"","p":513},{"i":518,"t":"Get the artifacts of a training job.","s":"📄️ Get the artifacts of a training job.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":520,"t":"Cancel a training job.","s":"📄️ Cancel a training job.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":522,"t":"Get the status of a training job.","s":"📄️ Get the status of a training job.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":524,"t":"Get all training jobs.","s":"📄️ Get all training jobs.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":526,"t":"Run preference optimization of a model.","s":"📄️ Run preference optimization of a model.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":528,"t":"Run supervised fine-tuning of a model.","s":"📄️ Run supervised fine-tuning of a model.","u":"/v0.3.0/docs/api-deprecated/post-training-coming-soon","h":"","p":516},{"i":530,"t":"POST /v1/eval/benchmarks deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Register a benchmark.","s":"Register a benchmark.","u":"/v0.3.0/docs/api-deprecated/register-a-benchmark","h":"","p":529},{"i":533,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/register-a-benchmark","h":"#request","p":529},{"i":535,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/register-a-benchmark","h":"#responses","p":529},{"i":537,"t":"POST /v1/datasets deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Register a new dataset.","s":"Register a new dataset.","u":"/v0.3.0/docs/api-deprecated/register-a-new-dataset","h":"","p":536},{"i":540,"t":"Responses​ 200 400 429 500 default A Dataset. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/register-a-new-dataset","h":"#request","p":536},{"i":542,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/register-a-new-dataset","h":"#responses","p":536},{"i":544,"t":"POST /v1/agents/:agent_id/session/:session_id/turn/:turn_id/resume deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Resume an agent turn with executed tool call responses. When a Turn has the status awaiting_input due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready.","s":"Resume an agent turn with executed tool call responses.","u":"/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses","h":"","p":543},{"i":547,"t":"Responses​ 200 400 429 500 default A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses","h":"#request","p":543},{"i":549,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/resume-an-agent-turn-with-executed-tool-call-responses","h":"#responses","p":543},{"i":551,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve a vector store file batch.","s":"Retrieve a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch","h":"","p":550},{"i":554,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch","h":"#request","p":550},{"i":556,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-a-vector-store-file-batch","h":"#responses","p":550},{"i":558,"t":"GET /v1/agents/:agent_id/session/:session_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve an agent session by its ID.","s":"Retrieve an agent session by its ID.","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id","h":"","p":557},{"i":561,"t":"Responses​ 200 400 429 500 default A Session. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id","h":"#request","p":557},{"i":563,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-session-by-its-id","h":"#responses","p":557},{"i":565,"t":"GET /v1/agents/:agent_id/session/:session_id/turn/:turn_id/step/:step_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve an agent step by its ID.","s":"Retrieve an agent step by its ID.","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id","h":"","p":564},{"i":568,"t":"Responses​ 200 400 429 500 default An AgentStepResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id","h":"#request","p":564},{"i":570,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-step-by-its-id","h":"#responses","p":564},{"i":572,"t":"GET /v1/agents/:agent_id/session/:session_id/turn/:turn_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve an agent turn by its ID.","s":"Retrieve an agent turn by its ID.","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id","h":"","p":571},{"i":575,"t":"Responses​ 200 400 429 500 default A Turn. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id","h":"#request","p":571},{"i":577,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-an-agent-turn-by-its-id","h":"#responses","p":571},{"i":579,"t":"GET /v1/openai/v1/files/:file_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve file. Returns information about a specific file.","s":"Retrieve file.","u":"/v0.3.0/docs/api-deprecated/retrieve-file","h":"","p":578},{"i":582,"t":"Responses​ 200 400 429 500 default An OpenAIFileObject containing file information. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-file","h":"#request","p":578},{"i":584,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-file","h":"#responses","p":578},{"i":586,"t":"GET /v1/openai/v1/files/:file_id/content deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieve file content. Returns the contents of the specified file.","s":"Retrieve file content.","u":"/v0.3.0/docs/api-deprecated/retrieve-file-content","h":"","p":585},{"i":589,"t":"Responses​ 200 400 429 500 default The raw file content as a binary response. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieve-file-content","h":"#request","p":585},{"i":591,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieve-file-content","h":"#responses","p":585},{"i":593,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieves a vector store.","s":"Retrieves a vector store.","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store","h":"","p":592},{"i":596,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store","h":"#request","p":592},{"i":598,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store","h":"#responses","p":592},{"i":600,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id/files/:file_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieves a vector store file.","s":"Retrieves a vector store file.","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file","h":"","p":599},{"i":603,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file","h":"#request","p":599},{"i":605,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieves-a-vector-store-file","h":"#responses","p":599},{"i":607,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id/files/:file_id/content deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Retrieves the contents of a vector store file.","s":"Retrieves the contents of a vector store file.","u":"/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file","h":"","p":606},{"i":610,"t":"Responses​ 200 400 429 500 default A list of InterleavedContent representing the file contents. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file","h":"#request","p":606},{"i":612,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/retrieves-the-contents-of-a-vector-store-file","h":"#responses","p":606},{"i":614,"t":"GET /v1/openai/v1/vector_stores/:vector_store_id/file_batches/:batch_id/files deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Returns a list of vector store files in a batch.","s":"Returns a list of vector store files in a batch.","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch","h":"","p":613},{"i":617,"t":"Responses​ 200 400 429 500 default A VectorStoreFilesListInBatchResponse containing the list of files in the batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch","h":"#request","p":613},{"i":619,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-store-files-in-a-batch","h":"#responses","p":613},{"i":621,"t":"GET /v1/openai/v1/vector_stores deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Returns a list of vector stores.","s":"Returns a list of vector stores.","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores","h":"","p":620},{"i":624,"t":"Responses​ 200 400 429 500 default A VectorStoreListResponse containing the list of vector stores. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores","h":"#request","p":620},{"i":626,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/returns-a-list-of-vector-stores","h":"#responses","p":620},{"i":628,"t":"POST /v1/eval/benchmarks/:benchmark_id/jobs deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Run an evaluation on a benchmark.","s":"Run an evaluation on a benchmark.","u":"/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark","h":"","p":627},{"i":631,"t":"Responses​ 200 400 429 500 default The job that was created to run the evaluation. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark","h":"#request","p":627},{"i":633,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/run-an-evaluation-on-a-benchmark","h":"#responses","p":627},{"i":635,"t":"POST /v1/post-training/preference-optimize deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Run preference optimization of a model.","s":"Run preference optimization of a model.","u":"/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model","h":"","p":634},{"i":638,"t":"Responses​ 200 400 429 500 default A PostTrainingJob. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model","h":"#request","p":634},{"i":640,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/run-preference-optimization-of-a-model","h":"#responses","p":634},{"i":642,"t":"POST /v1/post-training/supervised-fine-tune deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Run supervised fine-tuning of a model.","s":"Run supervised fine-tuning of a model.","u":"/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model","h":"","p":641},{"i":645,"t":"Responses​ 200 400 429 500 default A PostTrainingJob. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model","h":"#request","p":641},{"i":647,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/run-supervised-fine-tuning-of-a-model","h":"#responses","p":641},{"i":650,"t":"Create moderation.","s":"📄️ Create moderation.","u":"/v0.3.0/docs/api-deprecated/safety","h":"","p":648},{"i":652,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id/search deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Search for chunks in a vector store. Searches a vector store for relevant chunks based on a query and optional file attribute filters.","s":"Search for chunks in a vector store.","u":"/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store","h":"","p":651},{"i":655,"t":"Responses​ 200 400 429 500 default A VectorStoreSearchResponse containing the search results. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store","h":"#request","p":651},{"i":657,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/search-for-chunks-in-a-vector-store","h":"#responses","p":651},{"i":659,"t":"DELETE /v1/eval/benchmarks/:benchmark_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Unregister a benchmark.","s":"Unregister a benchmark.","u":"/v0.3.0/docs/api-deprecated/unregister-a-benchmark","h":"","p":658},{"i":662,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/unregister-a-benchmark","h":"#request","p":658},{"i":664,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/unregister-a-benchmark","h":"#responses","p":658},{"i":666,"t":"DELETE /v1/datasets/:dataset_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Unregister a dataset by its ID.","s":"Unregister a dataset by its ID.","u":"/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id","h":"","p":665},{"i":669,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id","h":"#request","p":665},{"i":671,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/unregister-a-dataset-by-its-id","h":"#responses","p":665},{"i":673,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Updates a vector store.","s":"Updates a vector store.","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store","h":"","p":672},{"i":676,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the updated vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store","h":"#request","p":672},{"i":678,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store","h":"#responses","p":672},{"i":680,"t":"POST /v1/openai/v1/vector_stores/:vector_store_id/files/:file_id deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Updates a vector store file.","s":"Updates a vector store file.","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store-file","h":"","p":679},{"i":683,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the updated file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store-file","h":"#request","p":679},{"i":685,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/updates-a-vector-store-file","h":"#responses","p":679},{"i":687,"t":"POST /v1/openai/v1/files deprecated This endpoint has been deprecated and may be replaced or removed in future versions of the API. Upload file. Upload a file that can be used across various endpoints. The file upload should be a multipart form request with: file: The File object (not file name) to be uploaded. purpose: The intended purpose of the uploaded file. expires_after: Optional form values describing expiration for the file.","s":"Upload file.","u":"/v0.3.0/docs/api-deprecated/upload-file","h":"","p":686},{"i":690,"t":"Responses​ 200 400 429 500 default An OpenAIFileObject representing the uploaded file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-deprecated/upload-file","h":"#request","p":686},{"i":692,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-deprecated/upload-file","h":"#responses","p":686},{"i":695,"t":"Returns a list of vector stores.","s":"📄️ Returns a list of vector stores.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":697,"t":"Creates a vector store.","s":"📄️ Creates a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":699,"t":"Retrieves a vector store.","s":"📄️ Retrieves a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":701,"t":"Updates a vector store.","s":"📄️ Updates a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":703,"t":"Delete a vector store.","s":"📄️ Delete a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":705,"t":"Create a vector store file batch.","s":"📄️ Create a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":707,"t":"Retrieve a vector store file batch.","s":"📄️ Retrieve a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":709,"t":"Cancels a vector store file batch.","s":"📄️ Cancels a vector store file batch.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":711,"t":"Returns a list of vector store files in a batch.","s":"📄️ Returns a list of vector store files in a batch.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":713,"t":"List files in a vector store.","s":"📄️ List files in a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":715,"t":"Attach a file to a vector store.","s":"📄️ Attach a file to a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":717,"t":"Retrieves a vector store file.","s":"📄️ Retrieves a vector store file.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":719,"t":"Updates a vector store file.","s":"📄️ Updates a vector store file.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":721,"t":"Delete a vector store file.","s":"📄️ Delete a vector store file.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":723,"t":"Retrieves the contents of a vector store file.","s":"📄️ Retrieves the contents of a vector store file.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":725,"t":"Search for chunks in a vector store.","s":"📄️ Search for chunks in a vector store.","u":"/v0.3.0/docs/api-deprecated/vector-io","h":"","p":693},{"i":727,"t":"APIs for creating and interacting with agentic systems.","s":"Agents","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":729,"t":"🧪 EXPERIMENTAL: This API is in preview and may change based on user feedback. Great for exploring new capabilities and providing feedback to influence the final design. Main functionalities provided by this API: Create agents with specific instructions and ability to use tools. Interactions with agents are grouped into sessions (\"threads\"), and each interaction is called a \"turn\". Agents can be provided with various tools (see the ToolGroups and ToolRuntime APIs for more details). Agents can be provided with various shields (see the Safety API for more details). Agents can also use Memory to retrieve information from knowledge bases. See the RAG Tool and Vector IO APIs for more details.","s":"Agents API (Experimental)","u":"/v0.3.0/docs/api-experimental/agents","h":"#agents-api-experimental","p":726},{"i":731,"t":"This API is actively being developed. We welcome feedback on: API design and usability Performance characteristics Missing features or capabilities Integration patterns Provide Feedback: GitHub Discussions or GitHub Issues 📄️ List all agents. List all agents. 📄️ Create an agent with the given configuration. Create an agent with the given configuration. 📄️ Describe an agent by its ID. Describe an agent by its ID. 📄️ Delete an agent by its ID and its associated sessions and turns. Delete an agent by its ID and its associated sessions and turns. 📄️ Create a new session for an agent. Create a new session for an agent. 📄️ Retrieve an agent session by its ID. Retrieve an agent session by its ID. 📄️ Delete an agent session by its ID and its associated turns. Delete an agent session by its ID and its associated turns. 📄️ Create a new turn for an agent. Create a new turn for an agent. 📄️ Retrieve an agent turn by its ID. Retrieve an agent turn by its ID. 📄️ Resume an agent turn with executed tool call responses. Resume an agent turn with executed tool call responses. 📄️ Retrieve an agent step by its ID. Retrieve an agent step by its ID. 📄️ List all session(s) of a given agent. List all session(s) of a given agent.","s":"🧪 Feedback Welcome","u":"/v0.3.0/docs/api-experimental/agents","h":"#-feedback-welcome","p":726},{"i":733,"t":"List all agents.","s":"📄️ List all agents.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":735,"t":"Create an agent with the given configuration.","s":"📄️ Create an agent with the given configuration.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":737,"t":"Describe an agent by its ID.","s":"📄️ Describe an agent by its ID.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":739,"t":"Delete an agent by its ID and its associated sessions and turns.","s":"📄️ Delete an agent by its ID and its associated sessions and turns.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":741,"t":"Create a new session for an agent.","s":"📄️ Create a new session for an agent.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":743,"t":"Retrieve an agent session by its ID.","s":"📄️ Retrieve an agent session by its ID.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":745,"t":"Delete an agent session by its ID and its associated turns.","s":"📄️ Delete an agent session by its ID and its associated turns.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":747,"t":"Create a new turn for an agent.","s":"📄️ Create a new turn for an agent.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":749,"t":"Retrieve an agent turn by its ID.","s":"📄️ Retrieve an agent turn by its ID.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":751,"t":"Resume an agent turn with executed tool call responses.","s":"📄️ Resume an agent turn with executed tool call responses.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":753,"t":"Retrieve an agent step by its ID.","s":"📄️ Retrieve an agent step by its ID.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":755,"t":"List all session(s) of a given agent.","s":"📄️ List all session(s) of a given agent.","u":"/v0.3.0/docs/api-experimental/agents","h":"","p":726},{"i":757,"t":"POST /v1beta/datasetio/append-rows/:dataset_id Append rows to a dataset.","s":"Append rows to a dataset.","u":"/v0.3.0/docs/api-experimental/append-rows-to-a-dataset","h":"","p":756},{"i":760,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/append-rows-to-a-dataset","h":"#request","p":756},{"i":762,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/append-rows-to-a-dataset","h":"#responses","p":756},{"i":765,"t":"List all benchmarks.","s":"📄️ List all benchmarks.","u":"/v0.3.0/docs/api-experimental/benchmarks","h":"","p":763},{"i":767,"t":"Register a benchmark.","s":"📄️ Register a benchmark.","u":"/v0.3.0/docs/api-experimental/benchmarks","h":"","p":763},{"i":769,"t":"Get a benchmark by its ID.","s":"📄️ Get a benchmark by its ID.","u":"/v0.3.0/docs/api-experimental/benchmarks","h":"","p":763},{"i":771,"t":"Unregister a benchmark.","s":"📄️ Unregister a benchmark.","u":"/v0.3.0/docs/api-experimental/benchmarks","h":"","p":763},{"i":773,"t":"DELETE /v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id Cancel a job.","s":"Cancel a job.","u":"/v0.3.0/docs/api-experimental/cancel-a-job","h":"","p":772},{"i":776,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/cancel-a-job","h":"#request","p":772},{"i":778,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/cancel-a-job","h":"#responses","p":772},{"i":780,"t":"POST /v1alpha/post-training/job/cancel Cancel a training job.","s":"Cancel a training job.","u":"/v0.3.0/docs/api-experimental/cancel-a-training-job","h":"","p":779},{"i":783,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/cancel-a-training-job","h":"#request","p":779},{"i":785,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/cancel-a-training-job","h":"#responses","p":779},{"i":787,"t":"POST /v1alpha/agents/:agent_id/session Create a new session for an agent.","s":"Create a new session for an agent.","u":"/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent","h":"","p":786},{"i":790,"t":"Responses​ 200 400 429 500 default An AgentSessionCreateResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent","h":"#request","p":786},{"i":792,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/create-a-new-session-for-an-agent","h":"#responses","p":786},{"i":794,"t":"POST /v1alpha/agents/:agent_id/session/:session_id/turn Create a new turn for an agent.","s":"Create a new turn for an agent.","u":"/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent","h":"","p":793},{"i":797,"t":"Responses​ 200 400 429 500 default If stream=False, returns a Turn object. If stream=True, returns an SSE event stream of AgentTurnResponseStreamChunk. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent","h":"#request","p":793},{"i":799,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/create-a-new-turn-for-an-agent","h":"#responses","p":793},{"i":801,"t":"POST /v1alpha/agents Create an agent with the given configuration.","s":"Create an agent with the given configuration.","u":"/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration","h":"","p":800},{"i":804,"t":"Responses​ 200 400 429 500 default An AgentCreateResponse with the agent ID. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration","h":"#request","p":800},{"i":806,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/create-an-agent-with-the-given-configuration","h":"#responses","p":800},{"i":809,"t":"Append rows to a dataset.","s":"📄️ Append rows to a dataset.","u":"/v0.3.0/docs/api-experimental/dataset-io","h":"","p":807},{"i":811,"t":"Get a paginated list of rows from a dataset.","s":"📄️ Get a paginated list of rows from a dataset.","u":"/v0.3.0/docs/api-experimental/dataset-io","h":"","p":807},{"i":814,"t":"List all datasets.","s":"📄️ List all datasets.","u":"/v0.3.0/docs/api-experimental/datasets","h":"","p":812},{"i":816,"t":"Register a new dataset.","s":"📄️ Register a new dataset.","u":"/v0.3.0/docs/api-experimental/datasets","h":"","p":812},{"i":818,"t":"Get a dataset by its ID.","s":"📄️ Get a dataset by its ID.","u":"/v0.3.0/docs/api-experimental/datasets","h":"","p":812},{"i":820,"t":"Unregister a dataset by its ID.","s":"📄️ Unregister a dataset by its ID.","u":"/v0.3.0/docs/api-experimental/datasets","h":"","p":812},{"i":822,"t":"DELETE /v1alpha/agents/:agent_id Delete an agent by its ID and its associated sessions and turns.","s":"Delete an agent by its ID and its associated sessions and turns.","u":"/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"","p":821},{"i":825,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"#request","p":821},{"i":827,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/delete-an-agent-by-its-id-and-its-associated-sessions-and-turns","h":"#responses","p":821},{"i":829,"t":"DELETE /v1alpha/agents/:agent_id/session/:session_id Delete an agent session by its ID and its associated turns.","s":"Delete an agent session by its ID and its associated turns.","u":"/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"","p":828},{"i":832,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"#request","p":828},{"i":834,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/delete-an-agent-session-by-its-id-and-its-associated-turns","h":"#responses","p":828},{"i":836,"t":"GET /v1alpha/agents/:agent_id Describe an agent by its ID.","s":"Describe an agent by its ID.","u":"/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id","h":"","p":835},{"i":839,"t":"Responses​ 200 400 429 500 default An Agent of the agent. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id","h":"#request","p":835},{"i":841,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/describe-an-agent-by-its-id","h":"#responses","p":835},{"i":844,"t":"Evaluate a list of rows on a benchmark.","s":"📄️ Evaluate a list of rows on a benchmark.","u":"/v0.3.0/docs/api-experimental/eval","h":"","p":842},{"i":846,"t":"Run an evaluation on a benchmark.","s":"📄️ Run an evaluation on a benchmark.","u":"/v0.3.0/docs/api-experimental/eval","h":"","p":842},{"i":848,"t":"Get the status of a job.","s":"📄️ Get the status of a job.","u":"/v0.3.0/docs/api-experimental/eval","h":"","p":842},{"i":850,"t":"Cancel a job.","s":"📄️ Cancel a job.","u":"/v0.3.0/docs/api-experimental/eval","h":"","p":842},{"i":852,"t":"Get the result of a job.","s":"📄️ Get the result of a job.","u":"/v0.3.0/docs/api-experimental/eval","h":"","p":842},{"i":854,"t":"POST /v1alpha/eval/benchmarks/:benchmark_id/evaluations Evaluate a list of rows on a benchmark.","s":"Evaluate a list of rows on a benchmark.","u":"/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark","h":"","p":853},{"i":857,"t":"Responses​ 200 400 429 500 default EvaluateResponse object containing generations and scores. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark","h":"#request","p":853},{"i":859,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/evaluate-a-list-of-rows-on-a-benchmark","h":"#responses","p":853},{"i":861,"t":"GET /v1alpha/eval/benchmarks/:benchmark_id Get a benchmark by its ID.","s":"Get a benchmark by its ID.","u":"/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id","h":"","p":860},{"i":864,"t":"Responses​ 200 400 429 500 default A Benchmark. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id","h":"#request","p":860},{"i":866,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-a-benchmark-by-its-id","h":"#responses","p":860},{"i":868,"t":"GET /v1beta/datasets/:dataset_id Get a dataset by its ID.","s":"Get a dataset by its ID.","u":"/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id","h":"","p":867},{"i":871,"t":"Responses​ 200 400 429 500 default A Dataset. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id","h":"#request","p":867},{"i":873,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-a-dataset-by-its-id","h":"#responses","p":867},{"i":875,"t":"GET /v1beta/datasetio/iterrows/:dataset_id Get a paginated list of rows from a dataset. Uses offset-based pagination where: start_index: The starting index (0-based). If None, starts from beginning. limit: Number of items to return. If None or -1, returns all items. The response includes: data: List of items for the current page. has_more: Whether there are more items available after this set.","s":"Get a paginated list of rows from a dataset.","u":"/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset","h":"","p":874},{"i":878,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset","h":"#request","p":874},{"i":880,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-a-paginated-list-of-rows-from-a-dataset","h":"#responses","p":874},{"i":882,"t":"GET /v1alpha/post-training/jobs Get all training jobs.","s":"Get all training jobs.","u":"/v0.3.0/docs/api-experimental/get-all-training-jobs","h":"","p":881},{"i":885,"t":"Responses​ 200 400 429 500 default A ListPostTrainingJobsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-all-training-jobs","h":"#request","p":881},{"i":887,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-all-training-jobs","h":"#responses","p":881},{"i":889,"t":"GET /v1alpha/post-training/job/artifacts Get the artifacts of a training job.","s":"Get the artifacts of a training job.","u":"/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job","h":"","p":888},{"i":892,"t":"Responses​ 200 400 429 500 default A PostTrainingJobArtifactsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job","h":"#request","p":888},{"i":894,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-the-artifacts-of-a-training-job","h":"#responses","p":888},{"i":896,"t":"GET /v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id/result Get the result of a job.","s":"Get the result of a job.","u":"/v0.3.0/docs/api-experimental/get-the-result-of-a-job","h":"","p":895},{"i":899,"t":"Responses​ 200 400 429 500 default The result of the job. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-the-result-of-a-job","h":"#request","p":895},{"i":901,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-the-result-of-a-job","h":"#responses","p":895},{"i":903,"t":"GET /v1alpha/eval/benchmarks/:benchmark_id/jobs/:job_id Get the status of a job.","s":"Get the status of a job.","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-job","h":"","p":902},{"i":906,"t":"Responses​ 200 400 429 500 default The status of the evaluation job. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-job","h":"#request","p":902},{"i":908,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-job","h":"#responses","p":902},{"i":910,"t":"GET /v1alpha/post-training/job/status Get the status of a training job.","s":"Get the status of a training job.","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job","h":"","p":909},{"i":913,"t":"Responses​ 200 400 429 500 default A PostTrainingJobStatusResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job","h":"#request","p":909},{"i":915,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/get-the-status-of-a-training-job","h":"#responses","p":909},{"i":917,"t":"GET /v1alpha/agents List all agents.","s":"List all agents.","u":"/v0.3.0/docs/api-experimental/list-all-agents","h":"","p":916},{"i":920,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/list-all-agents","h":"#request","p":916},{"i":922,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/list-all-agents","h":"#responses","p":916},{"i":924,"t":"GET /v1alpha/eval/benchmarks List all benchmarks.","s":"List all benchmarks.","u":"/v0.3.0/docs/api-experimental/list-all-benchmarks","h":"","p":923},{"i":927,"t":"Responses​ 200 400 429 500 default A ListBenchmarksResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/list-all-benchmarks","h":"#request","p":923},{"i":929,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/list-all-benchmarks","h":"#responses","p":923},{"i":931,"t":"GET /v1beta/datasets List all datasets.","s":"List all datasets.","u":"/v0.3.0/docs/api-experimental/list-all-datasets","h":"","p":930},{"i":934,"t":"Responses​ 200 400 429 500 default A ListDatasetsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/list-all-datasets","h":"#request","p":930},{"i":936,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/list-all-datasets","h":"#responses","p":930},{"i":938,"t":"GET /v1alpha/agents/:agent_id/sessions List all session(s) of a given agent.","s":"List all session(s) of a given agent.","u":"/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent","h":"","p":937},{"i":941,"t":"Responses​ 200 400 429 500 default A PaginatedResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent","h":"#request","p":937},{"i":943,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/list-all-session-s-of-a-given-agent","h":"#responses","p":937},{"i":945,"t":"This is the specification of the Llama Stack that provides a set of endpoints and their corresponding interfaces that are tailored to best leverage Llama Models. 🧪 EXPERIMENTAL: Pre-release APIs (v1alpha, v1beta) that may change before becoming stable.","s":"Llama Stack Specification - Experimental APIs","u":"/v0.3.0/docs/api-experimental/llama-stack-specification-experimental-apis","h":"","p":944},{"i":948,"t":"Get the artifacts of a training job.","s":"📄️ Get the artifacts of a training job.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":950,"t":"Cancel a training job.","s":"📄️ Cancel a training job.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":952,"t":"Get the status of a training job.","s":"📄️ Get the status of a training job.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":954,"t":"Get all training jobs.","s":"📄️ Get all training jobs.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":956,"t":"Run preference optimization of a model.","s":"📄️ Run preference optimization of a model.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":958,"t":"Run supervised fine-tuning of a model.","s":"📄️ Run supervised fine-tuning of a model.","u":"/v0.3.0/docs/api-experimental/post-training-coming-soon","h":"","p":946},{"i":960,"t":"POST /v1alpha/eval/benchmarks Register a benchmark.","s":"Register a benchmark.","u":"/v0.3.0/docs/api-experimental/register-a-benchmark","h":"","p":959},{"i":963,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/register-a-benchmark","h":"#request","p":959},{"i":965,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/register-a-benchmark","h":"#responses","p":959},{"i":967,"t":"POST /v1beta/datasets Register a new dataset.","s":"Register a new dataset.","u":"/v0.3.0/docs/api-experimental/register-a-new-dataset","h":"","p":966},{"i":970,"t":"Responses​ 200 400 429 500 default A Dataset. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/register-a-new-dataset","h":"#request","p":966},{"i":972,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/register-a-new-dataset","h":"#responses","p":966},{"i":974,"t":"POST /v1alpha/inference/rerank Rerank a list of documents based on their relevance to a query.","s":"Rerank a list of documents based on their relevance to a query.","u":"/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query","h":"","p":973},{"i":977,"t":"Responses​ 200 400 429 500 default RerankResponse with indices sorted by relevance score (descending). The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query","h":"#request","p":973},{"i":979,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/rerank-a-list-of-documents-based-on-their-relevance-to-a-query","h":"#responses","p":973},{"i":981,"t":"POST /v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id/resume Resume an agent turn with executed tool call responses. When a Turn has the status awaiting_input due to pending input from client side tool calls, this endpoint can be used to submit the outputs from the tool calls once they are ready.","s":"Resume an agent turn with executed tool call responses.","u":"/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses","h":"","p":980},{"i":984,"t":"Responses​ 200 400 429 500 default A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk objects. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses","h":"#request","p":980},{"i":986,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/resume-an-agent-turn-with-executed-tool-call-responses","h":"#responses","p":980},{"i":988,"t":"GET /v1alpha/agents/:agent_id/session/:session_id Retrieve an agent session by its ID.","s":"Retrieve an agent session by its ID.","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id","h":"","p":987},{"i":991,"t":"Responses​ 200 400 429 500 default A Session. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id","h":"#request","p":987},{"i":993,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-session-by-its-id","h":"#responses","p":987},{"i":995,"t":"GET /v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id/step/:step_id Retrieve an agent step by its ID.","s":"Retrieve an agent step by its ID.","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id","h":"","p":994},{"i":998,"t":"Responses​ 200 400 429 500 default An AgentStepResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id","h":"#request","p":994},{"i":1000,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-step-by-its-id","h":"#responses","p":994},{"i":1002,"t":"GET /v1alpha/agents/:agent_id/session/:session_id/turn/:turn_id Retrieve an agent turn by its ID.","s":"Retrieve an agent turn by its ID.","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id","h":"","p":1001},{"i":1005,"t":"Responses​ 200 400 429 500 default A Turn. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id","h":"#request","p":1001},{"i":1007,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/retrieve-an-agent-turn-by-its-id","h":"#responses","p":1001},{"i":1009,"t":"POST /v1alpha/eval/benchmarks/:benchmark_id/jobs Run an evaluation on a benchmark.","s":"Run an evaluation on a benchmark.","u":"/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark","h":"","p":1008},{"i":1012,"t":"Responses​ 200 400 429 500 default The job that was created to run the evaluation. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark","h":"#request","p":1008},{"i":1014,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/run-an-evaluation-on-a-benchmark","h":"#responses","p":1008},{"i":1016,"t":"POST /v1alpha/post-training/preference-optimize Run preference optimization of a model.","s":"Run preference optimization of a model.","u":"/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model","h":"","p":1015},{"i":1019,"t":"Responses​ 200 400 429 500 default A PostTrainingJob. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model","h":"#request","p":1015},{"i":1021,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/run-preference-optimization-of-a-model","h":"#responses","p":1015},{"i":1023,"t":"POST /v1alpha/post-training/supervised-fine-tune Run supervised fine-tuning of a model.","s":"Run supervised fine-tuning of a model.","u":"/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model","h":"","p":1022},{"i":1026,"t":"Responses​ 200 400 429 500 default A PostTrainingJob. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model","h":"#request","p":1022},{"i":1028,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/run-supervised-fine-tuning-of-a-model","h":"#responses","p":1022},{"i":1030,"t":"DELETE /v1alpha/eval/benchmarks/:benchmark_id Unregister a benchmark.","s":"Unregister a benchmark.","u":"/v0.3.0/docs/api-experimental/unregister-a-benchmark","h":"","p":1029},{"i":1033,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/unregister-a-benchmark","h":"#request","p":1029},{"i":1035,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/unregister-a-benchmark","h":"#responses","p":1029},{"i":1037,"t":"DELETE /v1beta/datasets/:dataset_id Unregister a dataset by its ID.","s":"Unregister a dataset by its ID.","u":"/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id","h":"","p":1036},{"i":1040,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id","h":"#request","p":1036},{"i":1042,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api-experimental/unregister-a-dataset-by-its-id","h":"#responses","p":1036},{"i":1044,"t":"The Llama Stack provides a comprehensive set of APIs organized by stability level to help you choose the right endpoints for your use case.","s":"API Reference Overview","u":"/v0.3.0/docs/api-overview","h":"","p":1043},{"i":1046,"t":"Production-ready APIs with backward compatibility guarantees. These APIs are fully tested, documented, and stable. They follow semantic versioning principles and maintain backward compatibility within major versions. Recommended for production applications. Browse Stable APIs → Key Features: ✅ Backward compatibility guaranteed ✅ Comprehensive testing and validation ✅ Production-ready reliability ✅ Long-term support","s":"🟢 Stable APIs","u":"/v0.3.0/docs/api-overview","h":"#-stable-apis","p":1043},{"i":1048,"t":"Preview APIs that may change before becoming stable. These APIs include v1alpha and v1beta endpoints that are feature-complete but may undergo changes based on feedback. Great for exploring new capabilities and providing feedback. Browse Experimental APIs → Key Features: 🧪 Latest features and capabilities 🧪 May change based on user feedback 🧪 Active development and iteration 🧪 Opportunity to influence final design","s":"🟡 Experimental APIs","u":"/v0.3.0/docs/api-overview","h":"#-experimental-apis","p":1043},{"i":1050,"t":"Legacy APIs for migration reference. These APIs are deprecated and will be removed in future versions. They are provided for migration purposes and to help transition to newer, stable alternatives. Browse Deprecated APIs → Key Features: ⚠️ Will be removed in future versions ⚠️ Migration guidance provided ⚠️ Use for compatibility during transition ⚠️ Not recommended for new projects","s":"🔴 Deprecated APIs","u":"/v0.3.0/docs/api-overview","h":"#-deprecated-apis","p":1043},{"i":1052,"t":"APIs for creating and interacting with agentic systems.","s":"Agents","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1054,"t":"The Responses API provides OpenAI-compatible functionality with enhanced capabilities for dynamic, stateful interactions. ✅ STABLE: This API is production-ready with backward compatibility guarantees. Recommended for production applications.","s":"Responses API","u":"/v0.3.0/docs/api/agents","h":"#responses-api","p":1051},{"i":1056,"t":"The Responses API supports the following tool types: web_search: Search the web for current information and real-time data file_search: Search through uploaded files and vector stores Supports dynamic vector_store_ids per call Compatible with OpenAI file search patterns function: Call custom functions with JSON schema validation mcp_tool: Model Context Protocol integration","s":"✅ Supported Tools","u":"/v0.3.0/docs/api/agents","h":"#-supported-tools","p":1051},{"i":1058,"t":"Core Capabilities: Dynamic Configuration: Switch models, vector stores, and tools per request without pre-configuration Conversation Branching: Use previous_response_id to branch conversations and explore different paths Rich Annotations: Automatic file citations, URL citations, and container file citations Status Tracking: Monitor tool call execution status and handle failures gracefully","s":"✅ Supported Fields & Features","u":"/v0.3.0/docs/api/agents","h":"#-supported-fields--features","p":1051},{"i":1060,"t":"Full real-time response streaming support tool_choice parameter max_tool_calls parameter Built-in tools (code interpreter, containers API) Safety & guardrails reasoning capabilities service_tier logprobs max_output_tokens metadata handling instructions incomplete_details background 📄️ List all responses. List all responses. 📄️ Create a model response. Create a model response. 📄️ Get a model response. Get a model response. 📄️ Delete a response. Delete a response. 📄️ List input items. List input items.","s":"🚧 Work in Progress","u":"/v0.3.0/docs/api/agents","h":"#-work-in-progress","p":1051},{"i":1062,"t":"List all responses.","s":"📄️ List all responses.","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1064,"t":"Create a model response.","s":"📄️ Create a model response.","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1066,"t":"Get a model response.","s":"📄️ Get a model response.","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1068,"t":"Delete a response.","s":"📄️ Delete a response.","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1070,"t":"List input items.","s":"📄️ List input items.","u":"/v0.3.0/docs/api/agents","h":"","p":1051},{"i":1072,"t":"POST /v1/vector_stores/:vector_store_id/files Attach a file to a vector store.","s":"Attach a file to a vector store.","u":"/v0.3.0/docs/api/attach-a-file-to-a-vector-store","h":"","p":1071},{"i":1075,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the attached file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/attach-a-file-to-a-vector-store","h":"#request","p":1071},{"i":1077,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/attach-a-file-to-a-vector-store","h":"#responses","p":1071},{"i":1079,"t":"POST /v1/vector_stores/:vector_store_id/file_batches/:batch_id/cancel Cancels a vector store file batch.","s":"Cancels a vector store file batch.","u":"/v0.3.0/docs/api/cancels-a-vector-store-file-batch","h":"","p":1078},{"i":1082,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the cancelled file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/cancels-a-vector-store-file-batch","h":"#request","p":1078},{"i":1084,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/cancels-a-vector-store-file-batch","h":"#responses","p":1078},{"i":1087,"t":"Create a conversation.","s":"📄️ Create a conversation.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1089,"t":"Retrieve a conversation.","s":"📄️ Retrieve a conversation.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1091,"t":"Update a conversation.","s":"📄️ Update a conversation.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1093,"t":"Delete a conversation.","s":"📄️ Delete a conversation.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1095,"t":"List items.","s":"📄️ List items.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1097,"t":"Create items.","s":"📄️ Create items.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1099,"t":"Retrieve an item.","s":"📄️ Retrieve an item.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1101,"t":"Delete an item.","s":"📄️ Delete an item.","u":"/v0.3.0/docs/api/conversations","h":"","p":1085},{"i":1103,"t":"POST /v1/conversations Create a conversation. Create a conversation.","s":"Create a conversation.","u":"/v0.3.0/docs/api/create-a-conversation","h":"","p":1102},{"i":1106,"t":"Responses​ 200 400 429 500 default The created conversation object. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-a-conversation","h":"#request","p":1102},{"i":1108,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-a-conversation","h":"#responses","p":1102},{"i":1110,"t":"POST /v1/responses Create a model response.","s":"Create a model response.","u":"/v0.3.0/docs/api/create-a-model-response","h":"","p":1109},{"i":1113,"t":"Responses​ 200 400 429 500 default An OpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-a-model-response","h":"#request","p":1109},{"i":1115,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-a-model-response","h":"#responses","p":1109},{"i":1117,"t":"POST /v1/vector_stores/:vector_store_id/file_batches Create a vector store file batch. Generate an OpenAI-compatible vector store file batch for the given vector store.","s":"Create a vector store file batch.","u":"/v0.3.0/docs/api/create-a-vector-store-file-batch","h":"","p":1116},{"i":1120,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the created file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-a-vector-store-file-batch","h":"#request","p":1116},{"i":1122,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-a-vector-store-file-batch","h":"#responses","p":1116},{"i":1124,"t":"POST /v1/chat/completions Create chat completions. Generate an OpenAI-compatible chat completion for the given messages using the specified model.","s":"Create chat completions.","u":"/v0.3.0/docs/api/create-chat-completions","h":"","p":1123},{"i":1127,"t":"Responses​ 200 400 429 500 default An OpenAIChatCompletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-chat-completions","h":"#request","p":1123},{"i":1129,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-chat-completions","h":"#responses","p":1123},{"i":1131,"t":"POST /v1/completions Create completion. Generate an OpenAI-compatible completion for the given prompt using the specified model.","s":"Create completion.","u":"/v0.3.0/docs/api/create-completion","h":"","p":1130},{"i":1134,"t":"Responses​ 200 400 429 500 default An OpenAICompletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-completion","h":"#request","p":1130},{"i":1136,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-completion","h":"#responses","p":1130},{"i":1138,"t":"POST /v1/embeddings Create embeddings. Generate OpenAI-compatible embeddings for the given input using the specified model.","s":"Create embeddings.","u":"/v0.3.0/docs/api/create-embeddings","h":"","p":1137},{"i":1141,"t":"Responses​ 200 400 429 500 default An OpenAIEmbeddingsResponse containing the embeddings. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-embeddings","h":"#request","p":1137},{"i":1143,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-embeddings","h":"#responses","p":1137},{"i":1145,"t":"POST /v1/conversations/:conversation_id/items Create items. Create items in the conversation.","s":"Create items.","u":"/v0.3.0/docs/api/create-items","h":"","p":1144},{"i":1148,"t":"Responses​ 200 400 429 500 default List of created items. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-items","h":"#request","p":1144},{"i":1150,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-items","h":"#responses","p":1144},{"i":1152,"t":"POST /v1/moderations Create moderation. Classifies if text and/or image inputs are potentially harmful.","s":"Create moderation.","u":"/v0.3.0/docs/api/create-moderation","h":"","p":1151},{"i":1155,"t":"Responses​ 200 400 429 500 default A moderation object. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-moderation","h":"#request","p":1151},{"i":1157,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-moderation","h":"#responses","p":1151},{"i":1159,"t":"POST /v1/prompts Create prompt. Create a new prompt.","s":"Create prompt.","u":"/v0.3.0/docs/api/create-prompt","h":"","p":1158},{"i":1162,"t":"Responses​ 200 400 429 500 default The created Prompt resource. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/create-prompt","h":"#request","p":1158},{"i":1164,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/create-prompt","h":"#responses","p":1158},{"i":1166,"t":"POST /v1/vector_stores Creates a vector store. Generate an OpenAI-compatible vector store with the given parameters.","s":"Creates a vector store.","u":"/v0.3.0/docs/api/creates-a-vector-store","h":"","p":1165},{"i":1169,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the created vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/creates-a-vector-store","h":"#request","p":1165},{"i":1171,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/creates-a-vector-store","h":"#responses","p":1165},{"i":1173,"t":"DELETE /v1/conversations/:conversation_id Delete a conversation. Delete a conversation with the given ID.","s":"Delete a conversation.","u":"/v0.3.0/docs/api/delete-a-conversation","h":"","p":1172},{"i":1176,"t":"Responses​ 200 400 429 500 default The deleted conversation resource. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-a-conversation","h":"#request","p":1172},{"i":1178,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-a-conversation","h":"#responses","p":1172},{"i":1180,"t":"DELETE /v1/responses/:response_id Delete a response.","s":"Delete a response.","u":"/v0.3.0/docs/api/delete-a-response","h":"","p":1179},{"i":1183,"t":"Responses​ 200 400 429 500 default An OpenAIDeleteResponseObject The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-a-response","h":"#request","p":1179},{"i":1185,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-a-response","h":"#responses","p":1179},{"i":1187,"t":"DELETE /v1/vector_stores/:vector_store_id Delete a vector store.","s":"Delete a vector store.","u":"/v0.3.0/docs/api/delete-a-vector-store","h":"","p":1186},{"i":1190,"t":"Responses​ 200 400 429 500 default A VectorStoreDeleteResponse indicating the deletion status. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-a-vector-store","h":"#request","p":1186},{"i":1192,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-a-vector-store","h":"#responses","p":1186},{"i":1194,"t":"DELETE /v1/vector_stores/:vector_store_id/files/:file_id Delete a vector store file.","s":"Delete a vector store file.","u":"/v0.3.0/docs/api/delete-a-vector-store-file","h":"","p":1193},{"i":1197,"t":"Responses​ 200 400 429 500 default A VectorStoreFileDeleteResponse indicating the deletion status. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-a-vector-store-file","h":"#request","p":1193},{"i":1199,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-a-vector-store-file","h":"#responses","p":1193},{"i":1201,"t":"DELETE /v1/conversations/:conversation_id/items/:item_id Delete an item. Delete a conversation item.","s":"Delete an item.","u":"/v0.3.0/docs/api/delete-an-item","h":"","p":1200},{"i":1204,"t":"Responses​ 200 400 429 500 default The deleted item resource. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-an-item","h":"#request","p":1200},{"i":1206,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-an-item","h":"#responses","p":1200},{"i":1208,"t":"DELETE /v1/files/:file_id Delete file.","s":"Delete file.","u":"/v0.3.0/docs/api/delete-file","h":"","p":1207},{"i":1211,"t":"Responses​ 200 400 429 500 default An OpenAIFileDeleteResponse indicating successful deletion. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-file","h":"#request","p":1207},{"i":1213,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-file","h":"#responses","p":1207},{"i":1215,"t":"DELETE /v1/prompts/:prompt_id Delete prompt. Delete a prompt.","s":"Delete prompt.","u":"/v0.3.0/docs/api/delete-prompt","h":"","p":1214},{"i":1218,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/delete-prompt","h":"#request","p":1214},{"i":1220,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/delete-prompt","h":"#responses","p":1214},{"i":1223,"t":"List files.","s":"📄️ List files.","u":"/v0.3.0/docs/api/files","h":"","p":1221},{"i":1225,"t":"Upload file.","s":"📄️ Upload file.","u":"/v0.3.0/docs/api/files","h":"","p":1221},{"i":1227,"t":"Retrieve file.","s":"📄️ Retrieve file.","u":"/v0.3.0/docs/api/files","h":"","p":1221},{"i":1229,"t":"Delete file.","s":"📄️ Delete file.","u":"/v0.3.0/docs/api/files","h":"","p":1221},{"i":1231,"t":"Retrieve file content.","s":"📄️ Retrieve file content.","u":"/v0.3.0/docs/api/files","h":"","p":1221},{"i":1233,"t":"POST /v1/synthetic-data-generation/generate Generate synthetic data based on input dialogs and apply filtering.","s":"Generate synthetic data based on input dialogs and apply filtering.","u":"/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering","h":"","p":1232},{"i":1236,"t":"Responses​ 200 400 429 500 default Response containing filtered synthetic data samples and optional statistics The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering","h":"#request","p":1232},{"i":1238,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/generate-synthetic-data-based-on-input-dialogs-and-apply-filtering","h":"#responses","p":1232},{"i":1240,"t":"GET /v1/responses/:response_id Get a model response.","s":"Get a model response.","u":"/v0.3.0/docs/api/get-a-model-response","h":"","p":1239},{"i":1243,"t":"Responses​ 200 400 429 500 default An OpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-a-model-response","h":"#request","p":1239},{"i":1245,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-a-model-response","h":"#responses","p":1239},{"i":1247,"t":"GET /v1/scoring-functions/:scoring_fn_id Get a scoring function by its ID.","s":"Get a scoring function by its ID.","u":"/v0.3.0/docs/api/get-a-scoring-function-by-its-id","h":"","p":1246},{"i":1250,"t":"Responses​ 200 400 429 500 default A ScoringFn. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-a-scoring-function-by-its-id","h":"#request","p":1246},{"i":1252,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-a-scoring-function-by-its-id","h":"#responses","p":1246},{"i":1254,"t":"GET /v1/shields/:identifier Get a shield by its identifier.","s":"Get a shield by its identifier.","u":"/v0.3.0/docs/api/get-a-shield-by-its-identifier","h":"","p":1253},{"i":1257,"t":"Responses​ 200 400 429 500 default A Shield. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-a-shield-by-its-identifier","h":"#request","p":1253},{"i":1259,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-a-shield-by-its-identifier","h":"#responses","p":1253},{"i":1261,"t":"GET /v1/tools/:tool_name Get a tool by its name.","s":"Get a tool by its name.","u":"/v0.3.0/docs/api/get-a-tool-by-its-name","h":"","p":1260},{"i":1264,"t":"Responses​ 200 400 429 500 default A ToolDef. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-a-tool-by-its-name","h":"#request","p":1260},{"i":1266,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-a-tool-by-its-name","h":"#responses","p":1260},{"i":1268,"t":"GET /v1/toolgroups/:toolgroup_id Get a tool group by its ID.","s":"Get a tool group by its ID.","u":"/v0.3.0/docs/api/get-a-tool-group-by-its-id","h":"","p":1267},{"i":1271,"t":"Responses​ 200 400 429 500 default A ToolGroup. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-a-tool-group-by-its-id","h":"#request","p":1267},{"i":1273,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-a-tool-group-by-its-id","h":"#responses","p":1267},{"i":1275,"t":"GET /v1/chat/completions/:completion_id Get chat completion. Describe a chat completion by its ID.","s":"Get chat completion.","u":"/v0.3.0/docs/api/get-chat-completion","h":"","p":1274},{"i":1278,"t":"Responses​ 200 400 429 500 default A OpenAICompletionWithInputMessages. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-chat-completion","h":"#request","p":1274},{"i":1280,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-chat-completion","h":"#responses","p":1274},{"i":1282,"t":"GET /v1/health Get health status. Get the current health status of the service.","s":"Get health status.","u":"/v0.3.0/docs/api/get-health-status","h":"","p":1281},{"i":1285,"t":"Responses​ 200 400 429 500 default Health information indicating if the service is operational. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-health-status","h":"#request","p":1281},{"i":1287,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-health-status","h":"#responses","p":1281},{"i":1289,"t":"GET /v1/models/:model_id Get model. Get a model by its identifier.","s":"Get model.","u":"/v0.3.0/docs/api/get-model","h":"","p":1288},{"i":1292,"t":"Responses​ 200 400 429 500 default A Model. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-model","h":"#request","p":1288},{"i":1294,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-model","h":"#responses","p":1288},{"i":1296,"t":"GET /v1/prompts/:prompt_id Get prompt. Get a prompt by its identifier and optional version.","s":"Get prompt.","u":"/v0.3.0/docs/api/get-prompt","h":"","p":1295},{"i":1299,"t":"Responses​ 200 400 429 500 default A Prompt resource. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-prompt","h":"#request","p":1295},{"i":1301,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-prompt","h":"#responses","p":1295},{"i":1303,"t":"GET /v1/providers/:provider_id Get provider. Get detailed information about a specific provider.","s":"Get provider.","u":"/v0.3.0/docs/api/get-provider","h":"","p":1302},{"i":1306,"t":"Responses​ 200 400 429 500 default A ProviderInfo object containing the provider's details. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-provider","h":"#request","p":1302},{"i":1308,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-provider","h":"#responses","p":1302},{"i":1310,"t":"GET /v1/version Get version. Get the version of the service.","s":"Get version.","u":"/v0.3.0/docs/api/get-version","h":"","p":1309},{"i":1313,"t":"Responses​ 200 400 429 500 default Version information containing the service version number. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/get-version","h":"#request","p":1309},{"i":1315,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/get-version","h":"#responses","p":1309},{"i":1317,"t":"POST /v1/tool-runtime/rag-tool/insert Index documents so they can be used by the RAG system.","s":"Index documents so they can be used by the RAG system.","u":"/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system","h":"","p":1316},{"i":1320,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system","h":"#request","p":1316},{"i":1322,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/index-documents-so-they-can-be-used-by-the-rag-system","h":"#responses","p":1316},{"i":1325,"t":"List chat completions.","s":"📄️ List chat completions.","u":"/v0.3.0/docs/api/inference","h":"","p":1323},{"i":1327,"t":"Create chat completions.","s":"📄️ Create chat completions.","u":"/v0.3.0/docs/api/inference","h":"","p":1323},{"i":1329,"t":"Get chat completion.","s":"📄️ Get chat completion.","u":"/v0.3.0/docs/api/inference","h":"","p":1323},{"i":1331,"t":"Create completion.","s":"📄️ Create completion.","u":"/v0.3.0/docs/api/inference","h":"","p":1323},{"i":1333,"t":"Create embeddings.","s":"📄️ Create embeddings.","u":"/v0.3.0/docs/api/inference","h":"","p":1323},{"i":1335,"t":"POST /v1/vector-io/insert Insert chunks into a vector database.","s":"Insert chunks into a vector database.","u":"/v0.3.0/docs/api/insert-chunks-into-a-vector-database","h":"","p":1334},{"i":1338,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/insert-chunks-into-a-vector-database","h":"#request","p":1334},{"i":1340,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/insert-chunks-into-a-vector-database","h":"#responses","p":1334},{"i":1343,"t":"Get health status.","s":"📄️ Get health status.","u":"/v0.3.0/docs/api/inspect","h":"","p":1341},{"i":1345,"t":"List routes.","s":"📄️ List routes.","u":"/v0.3.0/docs/api/inspect","h":"","p":1341},{"i":1347,"t":"Get version.","s":"📄️ Get version.","u":"/v0.3.0/docs/api/inspect","h":"","p":1341},{"i":1349,"t":"GET /v1/models List all models.","s":"List all models.","u":"/v0.3.0/docs/api/list-all-models","h":"","p":1348},{"i":1352,"t":"Responses​ 200 400 429 500 default A ListModelsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-models","h":"#request","p":1348},{"i":1354,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-models","h":"#responses","p":1348},{"i":1356,"t":"GET /v1/prompts List all prompts.","s":"List all prompts.","u":"/v0.3.0/docs/api/list-all-prompts","h":"","p":1355},{"i":1359,"t":"Responses​ 200 400 429 500 default A ListPromptsResponse containing all prompts. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-prompts","h":"#request","p":1355},{"i":1361,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-prompts","h":"#responses","p":1355},{"i":1363,"t":"GET /v1/responses List all responses.","s":"List all responses.","u":"/v0.3.0/docs/api/list-all-responses","h":"","p":1362},{"i":1366,"t":"Responses​ 200 400 429 500 default A ListOpenAIResponseObject. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-responses","h":"#request","p":1362},{"i":1368,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-responses","h":"#responses","p":1362},{"i":1370,"t":"GET /v1/scoring-functions List all scoring functions.","s":"List all scoring functions.","u":"/v0.3.0/docs/api/list-all-scoring-functions","h":"","p":1369},{"i":1373,"t":"Responses​ 200 400 429 500 default A ListScoringFunctionsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-scoring-functions","h":"#request","p":1369},{"i":1375,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-scoring-functions","h":"#responses","p":1369},{"i":1377,"t":"GET /v1/shields List all shields.","s":"List all shields.","u":"/v0.3.0/docs/api/list-all-shields","h":"","p":1376},{"i":1380,"t":"Responses​ 200 400 429 500 default A ListShieldsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-shields","h":"#request","p":1376},{"i":1382,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-shields","h":"#responses","p":1376},{"i":1384,"t":"GET /v1/tool-runtime/list-tools List all tools in the runtime.","s":"List all tools in the runtime.","u":"/v0.3.0/docs/api/list-all-tools-in-the-runtime","h":"","p":1383},{"i":1387,"t":"Responses​ 200 400 429 500 default A ListToolDefsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-all-tools-in-the-runtime","h":"#request","p":1383},{"i":1389,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-all-tools-in-the-runtime","h":"#responses","p":1383},{"i":1391,"t":"GET /v1/chat/completions List chat completions.","s":"List chat completions.","u":"/v0.3.0/docs/api/list-chat-completions","h":"","p":1390},{"i":1394,"t":"Responses​ 200 400 429 500 default A ListOpenAIChatCompletionResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-chat-completions","h":"#request","p":1390},{"i":1396,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-chat-completions","h":"#responses","p":1390},{"i":1398,"t":"GET /v1/files List files. Returns a list of files that belong to the user's organization.","s":"List files.","u":"/v0.3.0/docs/api/list-files","h":"","p":1397},{"i":1401,"t":"Responses​ 200 400 429 500 default An ListOpenAIFileResponse containing the list of files. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-files","h":"#request","p":1397},{"i":1403,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-files","h":"#responses","p":1397},{"i":1405,"t":"GET /v1/vector_stores/:vector_store_id/files List files in a vector store.","s":"List files in a vector store.","u":"/v0.3.0/docs/api/list-files-in-a-vector-store","h":"","p":1404},{"i":1408,"t":"Responses​ 200 400 429 500 default A VectorStoreListFilesResponse containing the list of files. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-files-in-a-vector-store","h":"#request","p":1404},{"i":1410,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-files-in-a-vector-store","h":"#responses","p":1404},{"i":1412,"t":"GET /v1/responses/:response_id/input_items List input items.","s":"List input items.","u":"/v0.3.0/docs/api/list-input-items","h":"","p":1411},{"i":1415,"t":"Responses​ 200 400 429 500 default An ListOpenAIResponseInputItem. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-input-items","h":"#request","p":1411},{"i":1417,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-input-items","h":"#responses","p":1411},{"i":1419,"t":"GET /v1/conversations/:conversation_id/items List items. List items in the conversation.","s":"List items.","u":"/v0.3.0/docs/api/list-items","h":"","p":1418},{"i":1422,"t":"Responses​ 200 400 429 500 default List of conversation items. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-items","h":"#request","p":1418},{"i":1424,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-items","h":"#responses","p":1418},{"i":1426,"t":"GET /v1/prompts/:prompt_id/versions List prompt versions. List all versions of a specific prompt.","s":"List prompt versions.","u":"/v0.3.0/docs/api/list-prompt-versions","h":"","p":1425},{"i":1429,"t":"Responses​ 200 400 429 500 default A ListPromptsResponse containing all versions of the prompt. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-prompt-versions","h":"#request","p":1425},{"i":1431,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-prompt-versions","h":"#responses","p":1425},{"i":1433,"t":"GET /v1/providers List providers. List all available providers.","s":"List providers.","u":"/v0.3.0/docs/api/list-providers","h":"","p":1432},{"i":1436,"t":"Responses​ 200 400 429 500 default A ListProvidersResponse containing information about all providers. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-providers","h":"#request","p":1432},{"i":1438,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-providers","h":"#responses","p":1432},{"i":1440,"t":"GET /v1/inspect/routes List routes. List all available API routes with their methods and implementing providers.","s":"List routes.","u":"/v0.3.0/docs/api/list-routes","h":"","p":1439},{"i":1443,"t":"Responses​ 200 400 429 500 default Response containing information about all available routes. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-routes","h":"#request","p":1439},{"i":1445,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-routes","h":"#responses","p":1439},{"i":1447,"t":"GET /v1/toolgroups List tool groups with optional provider.","s":"List tool groups with optional provider.","u":"/v0.3.0/docs/api/list-tool-groups-with-optional-provider","h":"","p":1446},{"i":1450,"t":"Responses​ 200 400 429 500 default A ListToolGroupsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-tool-groups-with-optional-provider","h":"#request","p":1446},{"i":1452,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-tool-groups-with-optional-provider","h":"#responses","p":1446},{"i":1454,"t":"GET /v1/tools List tools with optional tool group.","s":"List tools with optional tool group.","u":"/v0.3.0/docs/api/list-tools-with-optional-tool-group","h":"","p":1453},{"i":1457,"t":"Responses​ 200 400 429 500 default A ListToolDefsResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/list-tools-with-optional-tool-group","h":"#request","p":1453},{"i":1459,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/list-tools-with-optional-tool-group","h":"#responses","p":1453},{"i":1461,"t":"This is the specification of the Llama Stack that provides a set of endpoints and their corresponding interfaces that are tailored to best leverage Llama Models. ✅ STABLE: Production-ready APIs with backward compatibility guarantees.","s":"Llama Stack Specification","u":"/v0.3.0/docs/api/llama-stack-specification","h":"","p":1460},{"i":1464,"t":"List all models.","s":"📄️ List all models.","u":"/v0.3.0/docs/api/models","h":"","p":1462},{"i":1466,"t":"Register model.","s":"📄️ Register model.","u":"/v0.3.0/docs/api/models","h":"","p":1462},{"i":1468,"t":"Get model.","s":"📄️ Get model.","u":"/v0.3.0/docs/api/models","h":"","p":1462},{"i":1470,"t":"Unregister model.","s":"📄️ Unregister model.","u":"/v0.3.0/docs/api/models","h":"","p":1462},{"i":1473,"t":"List all prompts.","s":"📄️ List all prompts.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1475,"t":"Create prompt.","s":"📄️ Create prompt.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1477,"t":"Get prompt.","s":"📄️ Get prompt.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1479,"t":"Update prompt.","s":"📄️ Update prompt.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1481,"t":"Delete prompt.","s":"📄️ Delete prompt.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1483,"t":"Set prompt version.","s":"📄️ Set prompt version.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1485,"t":"List prompt versions.","s":"📄️ List prompt versions.","u":"/v0.3.0/docs/api/prompts","h":"","p":1471},{"i":1488,"t":"List providers.","s":"📄️ List providers.","u":"/v0.3.0/docs/api/providers","h":"","p":1486},{"i":1490,"t":"Get provider.","s":"📄️ Get provider.","u":"/v0.3.0/docs/api/providers","h":"","p":1486},{"i":1492,"t":"POST /v1/vector-io/query Query chunks from a vector database.","s":"Query chunks from a vector database.","u":"/v0.3.0/docs/api/query-chunks-from-a-vector-database","h":"","p":1491},{"i":1495,"t":"Responses​ 200 400 429 500 default A QueryChunksResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/query-chunks-from-a-vector-database","h":"#request","p":1491},{"i":1497,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/query-chunks-from-a-vector-database","h":"#responses","p":1491},{"i":1499,"t":"POST /v1/tool-runtime/rag-tool/query Query the RAG system for context; typically invoked by the agent.","s":"Query the RAG system for context; typically invoked by the agent.","u":"/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent","h":"","p":1498},{"i":1502,"t":"Responses​ 200 400 429 500 default RAGQueryResult containing the retrieved content and metadata The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent","h":"#request","p":1498},{"i":1504,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/query-the-rag-system-for-context-typically-invoked-by-the-agent","h":"#responses","p":1498},{"i":1506,"t":"POST /v1/scoring-functions Register a scoring function.","s":"Register a scoring function.","u":"/v0.3.0/docs/api/register-a-scoring-function","h":"","p":1505},{"i":1509,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/register-a-scoring-function","h":"#request","p":1505},{"i":1511,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/register-a-scoring-function","h":"#responses","p":1505},{"i":1513,"t":"POST /v1/shields Register a shield.","s":"Register a shield.","u":"/v0.3.0/docs/api/register-a-shield","h":"","p":1512},{"i":1516,"t":"Responses​ 200 400 429 500 default A Shield. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/register-a-shield","h":"#request","p":1512},{"i":1518,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/register-a-shield","h":"#responses","p":1512},{"i":1520,"t":"POST /v1/toolgroups Register a tool group.","s":"Register a tool group.","u":"/v0.3.0/docs/api/register-a-tool-group","h":"","p":1519},{"i":1523,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/register-a-tool-group","h":"#request","p":1519},{"i":1525,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/register-a-tool-group","h":"#responses","p":1519},{"i":1527,"t":"POST /v1/models Register model. Register a model.","s":"Register model.","u":"/v0.3.0/docs/api/register-model","h":"","p":1526},{"i":1530,"t":"Responses​ 200 400 429 500 default A Model. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/register-model","h":"#request","p":1526},{"i":1532,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/register-model","h":"#responses","p":1526},{"i":1534,"t":"GET /v1/conversations/:conversation_id Retrieve a conversation. Get a conversation with the given ID.","s":"Retrieve a conversation.","u":"/v0.3.0/docs/api/retrieve-a-conversation","h":"","p":1533},{"i":1537,"t":"Responses​ 200 400 429 500 default The conversation object. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieve-a-conversation","h":"#request","p":1533},{"i":1539,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieve-a-conversation","h":"#responses","p":1533},{"i":1541,"t":"GET /v1/vector_stores/:vector_store_id/file_batches/:batch_id Retrieve a vector store file batch.","s":"Retrieve a vector store file batch.","u":"/v0.3.0/docs/api/retrieve-a-vector-store-file-batch","h":"","p":1540},{"i":1544,"t":"Responses​ 200 400 429 500 default A VectorStoreFileBatchObject representing the file batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieve-a-vector-store-file-batch","h":"#request","p":1540},{"i":1546,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieve-a-vector-store-file-batch","h":"#responses","p":1540},{"i":1548,"t":"GET /v1/conversations/:conversation_id/items/:item_id Retrieve an item. Retrieve a conversation item.","s":"Retrieve an item.","u":"/v0.3.0/docs/api/retrieve-an-item","h":"","p":1547},{"i":1551,"t":"Responses​ 200 400 429 500 default The conversation item. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieve-an-item","h":"#request","p":1547},{"i":1553,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieve-an-item","h":"#responses","p":1547},{"i":1555,"t":"GET /v1/files/:file_id Retrieve file. Returns information about a specific file.","s":"Retrieve file.","u":"/v0.3.0/docs/api/retrieve-file","h":"","p":1554},{"i":1558,"t":"Responses​ 200 400 429 500 default An OpenAIFileObject containing file information. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieve-file","h":"#request","p":1554},{"i":1560,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieve-file","h":"#responses","p":1554},{"i":1562,"t":"GET /v1/files/:file_id/content Retrieve file content. Returns the contents of the specified file.","s":"Retrieve file content.","u":"/v0.3.0/docs/api/retrieve-file-content","h":"","p":1561},{"i":1565,"t":"Responses​ 200 400 429 500 default The raw file content as a binary response. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieve-file-content","h":"#request","p":1561},{"i":1567,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieve-file-content","h":"#responses","p":1561},{"i":1569,"t":"GET /v1/vector_stores/:vector_store_id Retrieves a vector store.","s":"Retrieves a vector store.","u":"/v0.3.0/docs/api/retrieves-a-vector-store","h":"","p":1568},{"i":1572,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieves-a-vector-store","h":"#request","p":1568},{"i":1574,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieves-a-vector-store","h":"#responses","p":1568},{"i":1576,"t":"GET /v1/vector_stores/:vector_store_id/files/:file_id Retrieves a vector store file.","s":"Retrieves a vector store file.","u":"/v0.3.0/docs/api/retrieves-a-vector-store-file","h":"","p":1575},{"i":1579,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieves-a-vector-store-file","h":"#request","p":1575},{"i":1581,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieves-a-vector-store-file","h":"#responses","p":1575},{"i":1583,"t":"GET /v1/vector_stores/:vector_store_id/files/:file_id/content Retrieves the contents of a vector store file.","s":"Retrieves the contents of a vector store file.","u":"/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file","h":"","p":1582},{"i":1586,"t":"Responses​ 200 400 429 500 default A list of InterleavedContent representing the file contents. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file","h":"#request","p":1582},{"i":1588,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/retrieves-the-contents-of-a-vector-store-file","h":"#responses","p":1582},{"i":1590,"t":"GET /v1/vector_stores/:vector_store_id/file_batches/:batch_id/files Returns a list of vector store files in a batch.","s":"Returns a list of vector store files in a batch.","u":"/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch","h":"","p":1589},{"i":1593,"t":"Responses​ 200 400 429 500 default A VectorStoreFilesListInBatchResponse containing the list of files in the batch. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch","h":"#request","p":1589},{"i":1595,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/returns-a-list-of-vector-store-files-in-a-batch","h":"#responses","p":1589},{"i":1597,"t":"GET /v1/vector_stores Returns a list of vector stores.","s":"Returns a list of vector stores.","u":"/v0.3.0/docs/api/returns-a-list-of-vector-stores","h":"","p":1596},{"i":1600,"t":"Responses​ 200 400 429 500 default A VectorStoreListResponse containing the list of vector stores. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/returns-a-list-of-vector-stores","h":"#request","p":1596},{"i":1602,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/returns-a-list-of-vector-stores","h":"#responses","p":1596},{"i":1604,"t":"POST /v1/tool-runtime/invoke Run a tool with the given arguments.","s":"Run a tool with the given arguments.","u":"/v0.3.0/docs/api/run-a-tool-with-the-given-arguments","h":"","p":1603},{"i":1607,"t":"Responses​ 200 400 429 500 default A ToolInvocationResult. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/run-a-tool-with-the-given-arguments","h":"#request","p":1603},{"i":1609,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/run-a-tool-with-the-given-arguments","h":"#responses","p":1603},{"i":1611,"t":"POST /v1/safety/run-shield Run shield. Run a shield.","s":"Run shield.","u":"/v0.3.0/docs/api/run-shield","h":"","p":1610},{"i":1614,"t":"Responses​ 200 400 429 500 default A RunShieldResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/run-shield","h":"#request","p":1610},{"i":1616,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/run-shield","h":"#responses","p":1610},{"i":1619,"t":"Create moderation.","s":"📄️ Create moderation.","u":"/v0.3.0/docs/api/safety","h":"","p":1617},{"i":1621,"t":"Run shield.","s":"📄️ Run shield.","u":"/v0.3.0/docs/api/safety","h":"","p":1617},{"i":1623,"t":"POST /v1/scoring/score-batch Score a batch of rows.","s":"Score a batch of rows.","u":"/v0.3.0/docs/api/score-a-batch-of-rows","h":"","p":1622},{"i":1626,"t":"Responses​ 200 400 429 500 default A ScoreBatchResponse. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/score-a-batch-of-rows","h":"#request","p":1622},{"i":1628,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/score-a-batch-of-rows","h":"#responses","p":1622},{"i":1630,"t":"POST /v1/scoring/score Score a list of rows.","s":"Score a list of rows.","u":"/v0.3.0/docs/api/score-a-list-of-rows","h":"","p":1629},{"i":1633,"t":"Responses​ 200 400 429 500 default A ScoreResponse object containing rows and aggregated results. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/score-a-list-of-rows","h":"#request","p":1629},{"i":1635,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/score-a-list-of-rows","h":"#responses","p":1629},{"i":1638,"t":"Score a list of rows.","s":"📄️ Score a list of rows.","u":"/v0.3.0/docs/api/scoring","h":"","p":1636},{"i":1640,"t":"Score a batch of rows.","s":"📄️ Score a batch of rows.","u":"/v0.3.0/docs/api/scoring","h":"","p":1636},{"i":1643,"t":"List all scoring functions.","s":"📄️ List all scoring functions.","u":"/v0.3.0/docs/api/scoring-functions","h":"","p":1641},{"i":1645,"t":"Register a scoring function.","s":"📄️ Register a scoring function.","u":"/v0.3.0/docs/api/scoring-functions","h":"","p":1641},{"i":1647,"t":"Get a scoring function by its ID.","s":"📄️ Get a scoring function by its ID.","u":"/v0.3.0/docs/api/scoring-functions","h":"","p":1641},{"i":1649,"t":"Unregister a scoring function.","s":"📄️ Unregister a scoring function.","u":"/v0.3.0/docs/api/scoring-functions","h":"","p":1641},{"i":1651,"t":"POST /v1/vector_stores/:vector_store_id/search Search for chunks in a vector store. Searches a vector store for relevant chunks based on a query and optional file attribute filters.","s":"Search for chunks in a vector store.","u":"/v0.3.0/docs/api/search-for-chunks-in-a-vector-store","h":"","p":1650},{"i":1654,"t":"Responses​ 200 400 429 500 default A VectorStoreSearchResponse containing the search results. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/search-for-chunks-in-a-vector-store","h":"#request","p":1650},{"i":1656,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/search-for-chunks-in-a-vector-store","h":"#responses","p":1650},{"i":1658,"t":"POST /v1/prompts/:prompt_id/set-default-version Set prompt version. Set which version of a prompt should be the default in get_prompt (latest).","s":"Set prompt version.","u":"/v0.3.0/docs/api/set-prompt-version","h":"","p":1657},{"i":1661,"t":"Responses​ 200 400 429 500 default The prompt with the specified version now set as default. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/set-prompt-version","h":"#request","p":1657},{"i":1663,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/set-prompt-version","h":"#responses","p":1657},{"i":1666,"t":"List all shields.","s":"📄️ List all shields.","u":"/v0.3.0/docs/api/shields","h":"","p":1664},{"i":1668,"t":"Register a shield.","s":"📄️ Register a shield.","u":"/v0.3.0/docs/api/shields","h":"","p":1664},{"i":1670,"t":"Get a shield by its identifier.","s":"📄️ Get a shield by its identifier.","u":"/v0.3.0/docs/api/shields","h":"","p":1664},{"i":1672,"t":"Unregister a shield.","s":"📄️ Unregister a shield.","u":"/v0.3.0/docs/api/shields","h":"","p":1664},{"i":1675,"t":"Generate synthetic data based on input dialogs and apply filtering.","s":"📄️ Generate synthetic data based on input dialogs and apply filtering.","u":"/v0.3.0/docs/api/synthetic-data-generation-coming-soon","h":"","p":1673},{"i":1678,"t":"List tool groups with optional provider.","s":"📄️ List tool groups with optional provider.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1680,"t":"Register a tool group.","s":"📄️ Register a tool group.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1682,"t":"Get a tool group by its ID.","s":"📄️ Get a tool group by its ID.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1684,"t":"Unregister a tool group.","s":"📄️ Unregister a tool group.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1686,"t":"List tools with optional tool group.","s":"📄️ List tools with optional tool group.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1688,"t":"Get a tool by its name.","s":"📄️ Get a tool by its name.","u":"/v0.3.0/docs/api/tool-groups","h":"","p":1676},{"i":1691,"t":"Run a tool with the given arguments.","s":"📄️ Run a tool with the given arguments.","u":"/v0.3.0/docs/api/tool-runtime","h":"","p":1689},{"i":1693,"t":"List all tools in the runtime.","s":"📄️ List all tools in the runtime.","u":"/v0.3.0/docs/api/tool-runtime","h":"","p":1689},{"i":1695,"t":"Index documents so they can be used by the RAG system.","s":"📄️ Index documents so they can be used by the RAG system.","u":"/v0.3.0/docs/api/tool-runtime","h":"","p":1689},{"i":1697,"t":"Query the RAG system for context; typically invoked by the agent.","s":"📄️ Query the RAG system for context; typically invoked by the agent.","u":"/v0.3.0/docs/api/tool-runtime","h":"","p":1689},{"i":1699,"t":"DELETE /v1/scoring-functions/:scoring_fn_id Unregister a scoring function.","s":"Unregister a scoring function.","u":"/v0.3.0/docs/api/unregister-a-scoring-function","h":"","p":1698},{"i":1702,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/unregister-a-scoring-function","h":"#request","p":1698},{"i":1704,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/unregister-a-scoring-function","h":"#responses","p":1698},{"i":1706,"t":"DELETE /v1/shields/:identifier Unregister a shield.","s":"Unregister a shield.","u":"/v0.3.0/docs/api/unregister-a-shield","h":"","p":1705},{"i":1709,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/unregister-a-shield","h":"#request","p":1705},{"i":1711,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/unregister-a-shield","h":"#responses","p":1705},{"i":1713,"t":"DELETE /v1/toolgroups/:toolgroup_id Unregister a tool group.","s":"Unregister a tool group.","u":"/v0.3.0/docs/api/unregister-a-tool-group","h":"","p":1712},{"i":1716,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/unregister-a-tool-group","h":"#request","p":1712},{"i":1718,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/unregister-a-tool-group","h":"#responses","p":1712},{"i":1720,"t":"DELETE /v1/models/:model_id Unregister model. Unregister a model.","s":"Unregister model.","u":"/v0.3.0/docs/api/unregister-model","h":"","p":1719},{"i":1723,"t":"Responses​ 200 400 429 500 default OK The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/unregister-model","h":"#request","p":1719},{"i":1725,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/unregister-model","h":"#responses","p":1719},{"i":1727,"t":"POST /v1/conversations/:conversation_id Update a conversation. Update a conversation's metadata with the given ID.","s":"Update a conversation.","u":"/v0.3.0/docs/api/update-a-conversation","h":"","p":1726},{"i":1730,"t":"Responses​ 200 400 429 500 default The updated conversation object. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/update-a-conversation","h":"#request","p":1726},{"i":1732,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/update-a-conversation","h":"#responses","p":1726},{"i":1734,"t":"POST /v1/prompts/:prompt_id Update prompt. Update an existing prompt (increments version).","s":"Update prompt.","u":"/v0.3.0/docs/api/update-prompt","h":"","p":1733},{"i":1737,"t":"Responses​ 200 400 429 500 default The updated Prompt resource with incremented version. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/update-prompt","h":"#request","p":1733},{"i":1739,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/update-prompt","h":"#responses","p":1733},{"i":1741,"t":"POST /v1/vector_stores/:vector_store_id Updates a vector store.","s":"Updates a vector store.","u":"/v0.3.0/docs/api/updates-a-vector-store","h":"","p":1740},{"i":1744,"t":"Responses​ 200 400 429 500 default A VectorStoreObject representing the updated vector store. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/updates-a-vector-store","h":"#request","p":1740},{"i":1746,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/updates-a-vector-store","h":"#responses","p":1740},{"i":1748,"t":"POST /v1/vector_stores/:vector_store_id/files/:file_id Updates a vector store file.","s":"Updates a vector store file.","u":"/v0.3.0/docs/api/updates-a-vector-store-file","h":"","p":1747},{"i":1751,"t":"Responses​ 200 400 429 500 default A VectorStoreFileObject representing the updated file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/updates-a-vector-store-file","h":"#request","p":1747},{"i":1753,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/updates-a-vector-store-file","h":"#responses","p":1747},{"i":1755,"t":"POST /v1/files Upload file. Upload a file that can be used across various endpoints. The file upload should be a multipart form request with: file: The File object (not file name) to be uploaded. purpose: The intended purpose of the uploaded file. expires_after: Optional form values describing expiration for the file.","s":"Upload file.","u":"/v0.3.0/docs/api/upload-file","h":"","p":1754},{"i":1758,"t":"Responses​ 200 400 429 500 default An OpenAIFileObject representing the uploaded file. The request was invalid or malformed The client has sent too many requests in a given amount of time The server encountered an unexpected error An unexpected error occurred","s":"Request","u":"/v0.3.0/docs/api/upload-file","h":"#request","p":1754},{"i":1760,"t":"200 400 429 500 default","s":"Responses","u":"/v0.3.0/docs/api/upload-file","h":"#responses","p":1754},{"i":1763,"t":"Insert chunks into a vector database.","s":"📄️ Insert chunks into a vector database.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1765,"t":"Query chunks from a vector database.","s":"📄️ Query chunks from a vector database.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1767,"t":"Returns a list of vector stores.","s":"📄️ Returns a list of vector stores.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1769,"t":"Creates a vector store.","s":"📄️ Creates a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1771,"t":"Retrieves a vector store.","s":"📄️ Retrieves a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1773,"t":"Updates a vector store.","s":"📄️ Updates a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1775,"t":"Delete a vector store.","s":"📄️ Delete a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1777,"t":"Create a vector store file batch.","s":"📄️ Create a vector store file batch.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1779,"t":"Retrieve a vector store file batch.","s":"📄️ Retrieve a vector store file batch.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1781,"t":"Cancels a vector store file batch.","s":"📄️ Cancels a vector store file batch.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1783,"t":"Returns a list of vector store files in a batch.","s":"📄️ Returns a list of vector store files in a batch.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1785,"t":"List files in a vector store.","s":"📄️ List files in a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1787,"t":"Attach a file to a vector store.","s":"📄️ Attach a file to a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1789,"t":"Retrieves a vector store file.","s":"📄️ Retrieves a vector store file.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1791,"t":"Updates a vector store file.","s":"📄️ Updates a vector store file.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1793,"t":"Delete a vector store file.","s":"📄️ Delete a vector store file.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1795,"t":"Retrieves the contents of a vector store file.","s":"📄️ Retrieves the contents of a vector store file.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1797,"t":"Search for chunks in a vector store.","s":"📄️ Search for chunks in a vector store.","u":"/v0.3.0/docs/api/vector-io","h":"","p":1761},{"i":1799,"t":"Llama Stack provides all the building blocks needed to create sophisticated AI applications.","s":"AI Application Examples","u":"/v0.3.0/docs/building_applications","h":"","p":1798},{"i":1801,"t":"The best way to get started is to look at this comprehensive notebook which walks through the various APIs (from basic inference, to RAG agents) and how to use them. 📓 Building AI Applications Notebook","s":"Getting Started","u":"/v0.3.0/docs/building_applications","h":"#getting-started","p":1798},{"i":1803,"t":"Here are the key topics that will help you build effective AI applications:","s":"Core Topics","u":"/v0.3.0/docs/building_applications","h":"#core-topics","p":1798},{"i":1805,"t":"Agent Framework - Understand the components and design patterns of the Llama Stack agent framework Agent Execution Loop - How agents process information, make decisions, and execute actions Agents vs Responses API - Learn when to use each API for different use cases","s":"🤖 Agent Development","u":"/v0.3.0/docs/building_applications","h":"#-agent-development","p":1798},{"i":1807,"t":"RAG (Retrieval-Augmented Generation) - Enhance your agents with external knowledge through retrieval mechanisms","s":"📚 Knowledge Integration","u":"/v0.3.0/docs/building_applications","h":"#-knowledge-integration","p":1798},{"i":1809,"t":"Tools - Extend your agents' capabilities by integrating with external tools and APIs","s":"🛠️ Capabilities & Extensions","u":"/v0.3.0/docs/building_applications","h":"#️-capabilities--extensions","p":1798},{"i":1811,"t":"Evaluations - Evaluate your agents' effectiveness and identify areas for improvement Telemetry - Monitor and analyze your agents' performance and behavior Safety - Implement guardrails and safety measures to ensure responsible AI behavior","s":"📊 Quality & Monitoring","u":"/v0.3.0/docs/building_applications","h":"#-quality--monitoring","p":1798},{"i":1813,"t":"Playground - Interactive environment for testing and developing applications","s":"🎮 Interactive Development","u":"/v0.3.0/docs/building_applications","h":"#-interactive-development","p":1798},{"i":1816,"t":"Build intelligent chatbots and assistants that can: Maintain context across conversations Access external knowledge bases Execute actions through tool integrations Apply safety filters and guardrails","s":"🤖 Conversational Agents","u":"/v0.3.0/docs/building_applications","h":"#-conversational-agents","p":1798},{"i":1818,"t":"Create knowledge-augmented applications that: Retrieve relevant information from documents Generate contextually accurate responses Handle large knowledge bases efficiently Provide source attribution","s":"📖 RAG Applications","u":"/v0.3.0/docs/building_applications","h":"#-rag-applications","p":1798},{"i":1820,"t":"Develop applications that can: Search the web for real-time information Interact with databases and APIs Perform calculations and analysis Execute complex multi-step workflows","s":"🔧 Tool-Enhanced Systems","u":"/v0.3.0/docs/building_applications","h":"#-tool-enhanced-systems","p":1798},{"i":1822,"t":"Build production-ready systems with: Comprehensive safety measures Performance monitoring and analytics Scalable deployment configurations Evaluation and quality assurance","s":"🛡️ Enterprise Applications","u":"/v0.3.0/docs/building_applications","h":"#️-enterprise-applications","p":1798},{"i":1824,"t":"📖 Start with the Notebook - Work through the complete tutorial 🎯 Choose Your Pattern - Pick the application type that matches your needs 🏗️ Build Your Foundation - Set up your providers and distributions 🚀 Deploy & Monitor - Use our deployment guides for production","s":"Next Steps","u":"/v0.3.0/docs/building_applications","h":"#next-steps","p":1798},{"i":1826,"t":"Getting Started - Basic setup and concepts Providers - Available AI service providers Distributions - Pre-configured deployment packages API Reference - Complete API documentation","s":"Related Resources","u":"/v0.3.0/docs/building_applications","h":"#related-resources","p":1798},{"i":1828,"t":"An Agent in Llama Stack is a powerful abstraction that allows you to build complex AI applications. The Llama Stack agent framework is built on a modular architecture that allows for flexible and powerful AI applications. This document explains the key components and how they work together.","s":"Agents","u":"/v0.3.0/docs/building_applications/agent","h":"","p":1827},{"i":1831,"t":"Agents are configured using the AgentConfig class, which includes: Model: The underlying LLM to power the agent Instructions: System prompt that defines the agent's behavior Tools: Capabilities the agent can use to interact with external systems Safety Shields: Guardrails to ensure responsible AI behavior from llama_stack_client import Agent # Create the agent agent = Agent( llama_stack_client, model=\"meta-llama/Llama-3-70b-chat\", instructions=\"You are a helpful assistant that can use tools to answer questions.\", tools=[\"builtin::code_interpreter\", \"builtin::rag/knowledge_search\"], )","s":"1. Agent Configuration","u":"/v0.3.0/docs/building_applications/agent","h":"#1-agent-configuration","p":1827},{"i":1833,"t":"Agents maintain state through sessions, which represent a conversation thread: # Create a session session_id = agent.create_session(session_name=\"My conversation\")","s":"2. Sessions","u":"/v0.3.0/docs/building_applications/agent","h":"#2-sessions","p":1827},{"i":1835,"t":"Each interaction with an agent is called a \"turn\" and consists of: Input Messages: What the user sends to the agent Steps: The agent's internal processing (inference, tool execution, etc.) Output Message: The agent's response Streaming Response Non-Streaming Response from llama_stack_client import AgentEventLogger # Create a turn with streaming response turn_response = agent.create_turn( session_id=session_id, messages=[{\"role\": \"user\", \"content\": \"Tell me about Llama models\"}], ) for log in AgentEventLogger().log(turn_response): log.print() from rich.pretty import pprint # Non-streaming API response = agent.create_turn( session_id=session_id, messages=[{\"role\": \"user\", \"content\": \"Tell me about Llama models\"}], stream=False, ) print(\"Inputs:\") pprint(response.input_messages) print(\"Output:\") pprint(response.output_message.content) print(\"Steps:\") pprint(response.steps)","s":"3. Turns","u":"/v0.3.0/docs/building_applications/agent","h":"#3-turns","p":1827},{"i":1837,"t":"Each turn consists of multiple steps that represent the agent's thought process: Inference Steps: The agent generating text responses Tool Execution Steps: The agent using tools to gather information Shield Call Steps: Safety checks being performed","s":"4. Steps","u":"/v0.3.0/docs/building_applications/agent","h":"#4-steps","p":1827},{"i":1839,"t":"Refer to the Agent Execution Loop for more details on what happens within an agent turn.","s":"Agent Execution Loop","u":"/v0.3.0/docs/building_applications/agent","h":"#agent-execution-loop","p":1827},{"i":1841,"t":"Agent Execution Loop - Understanding the internal processing flow RAG (Retrieval Augmented Generation) - Building knowledge-enhanced agents Tools Integration - Extending agent capabilities with external tools Safety Guardrails - Implementing responsible AI practices","s":"Related Resources","u":"/v0.3.0/docs/building_applications/agent","h":"#related-resources","p":1827},{"i":1843,"t":"Agents are the heart of Llama Stack applications. They combine inference, memory, safety, and tool usage into coherent workflows. At its core, an agent follows a sophisticated execution loop that enables multi-step reasoning, tool usage, and safety checks.","s":"Agent Execution Loop","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"","p":1842},{"i":1845,"t":"Each agent turn follows these key steps: Initial Safety Check: The user's input is first screened through configured safety shields Context Retrieval: If RAG is enabled, the agent can choose to query relevant documents from memory banks. You can use the instructions field to steer the agent. For new documents, they are first inserted into the memory bank. Retrieved context is provided to the LLM as a tool response in the message history. Inference Loop: The agent enters its main execution loop: The LLM receives a user prompt (with previous tool outputs) The LLM generates a response, potentially with tool calls If tool calls are present: Tool inputs are safety-checked Tools are executed (e.g., web search, code execution) Tool responses are fed back to the LLM for synthesis The loop continues until: The LLM provides a final response without tool calls Maximum iterations are reached Token limit is exceeded Final Safety Check: The agent's final response is screened through safety shields","s":"Steps in the Agent Workflow","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#steps-in-the-agent-workflow","p":1842},{"i":1847,"t":"sequenceDiagram participant U as User participant E as Executor participant M as Memory Bank participant L as LLM participant T as Tools participant S as Safety Shield Note over U,S: Agent Turn Start U->>S: 1. Submit Prompt activate S S->>E: Input Safety Check deactivate S loop Inference Loop E->>L: 2.1 Augment with Context L-->>E: 2.2 Response (with/without tool calls) alt Has Tool Calls E->>S: Check Tool Input S->>T: 3.1 Execute Tool T-->>E: 3.2 Tool Response E->>L: 4.1 Tool Response L-->>E: 4.2 Synthesized Response end opt Stop Conditions Note over E: Break if: Note over E: - No tool calls Note over E: - Max iterations reached Note over E: - Token limit exceeded end end E->>S: Output Safety Check S->>U: 5. Final Response Each step in this process can be monitored and controlled through configurations.","s":"Execution Flow Diagram","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#execution-flow-diagram","p":1842},{"i":1849,"t":"Here's an example that demonstrates monitoring the agent's execution: Streaming Execution Non-Streaming Execution from llama_stack_client import LlamaStackClient, Agent, AgentEventLogger # Replace host and port client = LlamaStackClient(base_url=f\"http://{HOST}:{PORT}\") agent = Agent( client, # Check with `llama-stack-client models list` model=\"Llama3.2-3B-Instruct\", instructions=\"You are a helpful assistant\", # Enable both RAG and tool usage tools=[ { \"name\": \"builtin::rag/knowledge_search\", \"args\": {\"vector_db_ids\": [\"my_docs\"]}, }, \"builtin::code_interpreter\", ], # Configure safety (optional) input_shields=[\"llama_guard\"], output_shields=[\"llama_guard\"], # Control the inference loop max_infer_iters=5, sampling_params={ \"strategy\": {\"type\": \"top_p\", \"temperature\": 0.7, \"top_p\": 0.95}, \"max_tokens\": 2048, }, ) session_id = agent.create_session(\"monitored_session\") # Stream the agent's execution steps response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Analyze this code and run it\"}], documents=[ { \"content\": \"https://raw.githubusercontent.com/example/code.py\", \"mime_type\": \"text/plain\", } ], session_id=session_id, ) # Monitor each step of execution for log in AgentEventLogger().log(response): log.print() from rich.pretty import pprint # Using non-streaming API, the response contains input, steps, and output. response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Analyze this code and run it\"}], documents=[ { \"content\": \"https://raw.githubusercontent.com/example/code.py\", \"mime_type\": \"text/plain\", } ], session_id=session_id, stream=False, ) pprint(f\"Input: {response.input_messages}\") pprint(f\"Output: {response.output_message.content}\") pprint(f\"Steps: {response.steps}\")","s":"Agent Execution Example","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#agent-execution-example","p":1842},{"i":1852,"t":"max_infer_iters: Maximum number of inference iterations (default: 5) max_tokens: Token limit for responses temperature: Controls response randomness","s":"Loop Control","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#loop-control","p":1842},{"i":1854,"t":"input_shields: Safety checks for user input output_shields: Safety checks for agent responses","s":"Safety Configuration","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#safety-configuration","p":1842},{"i":1856,"t":"tools: List of available tools for the agent tool_choice: Control over when tools are used","s":"Tool Integration","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#tool-integration","p":1842},{"i":1858,"t":"Agents - Understanding agent fundamentals Tools Integration - Adding capabilities to agents Safety Guardrails - Implementing safety measures RAG (Retrieval Augmented Generation) - Building knowledge-enhanced workflows","s":"Related Resources","u":"/v0.3.0/docs/building_applications/agent_execution_loop","h":"#related-resources","p":1842},{"i":1860,"t":"This guide walks you through the process of evaluating an LLM application built using Llama Stack. For detailed API reference, check out the Evaluation Reference guide that covers the complete set of APIs and developer experience flow. Interactive Examples Check out our Colab notebook for working examples with evaluations, or try the Getting Started notebook.","s":"Evaluations","u":"/v0.3.0/docs/building_applications/evals","h":"","p":1859},{"i":1862,"t":"Llama Stack offers a library of scoring functions and the /scoring API, allowing you to run evaluations on your pre-annotated AI application datasets. In this example, we will show you how to: Build an Agent with Llama Stack Query the agent's sessions, turns, and steps to analyze execution Evaluate the results using scoring functions","s":"Application Evaluation Example","u":"/v0.3.0/docs/building_applications/evals","h":"#application-evaluation-example","p":1859},{"i":1865,"t":"First, let's create an agent that can search the web to answer questions: from llama_stack_client import LlamaStackClient, Agent, AgentEventLogger client = LlamaStackClient(base_url=f\"http://{HOST}:{PORT}\") agent = Agent( client, model=\"meta-llama/Llama-3.3-70B-Instruct\", instructions=\"You are a helpful assistant. Use search tool to answer the questions.\", tools=[\"builtin::websearch\"], ) # Test prompts for evaluation user_prompts = [ \"Which teams played in the NBA Western Conference Finals of 2024. Search the web for the answer.\", \"In which episode and season of South Park does Bill Cosby (BSM-471) first appear? Give me the number and title. Search the web for the answer.\", \"What is the British-American kickboxer Andrew Tate's kickboxing name? Search the web for the answer.\", ] session_id = agent.create_session(\"test-session\") # Execute all prompts in the session for prompt in user_prompts: response = agent.create_turn( messages=[ { \"role\": \"user\", \"content\": prompt, } ], session_id=session_id, ) for log in AgentEventLogger().log(response): log.print()","s":"1. Building a Search Agent","u":"/v0.3.0/docs/building_applications/evals","h":"#1-building-a-search-agent","p":1859},{"i":1867,"t":"Now, let's analyze the agent's execution steps to understand its performance: Session Analysis Tool Usage Validation from rich.pretty import pprint # Query the agent's session to get detailed execution data session_response = client.agents.session.retrieve( session_id=session_id, agent_id=agent.agent_id, ) pprint(session_response) # Sanity check: Verify that all user prompts are followed by tool calls num_tool_call = 0 for turn in session_response.turns: for step in turn.steps: if ( step.step_type == \"tool_execution\" and step.tool_calls[0].tool_name == \"brave_search\" ): num_tool_call += 1 print( f\"{num_tool_call}/{len(session_response.turns)} user prompts are followed by a tool call to `brave_search`\" )","s":"2. Query Agent Execution Steps","u":"/v0.3.0/docs/building_applications/evals","h":"#2-query-agent-execution-steps","p":1859},{"i":1869,"t":"Now we'll evaluate the agent's responses using Llama Stack's scoring API: Data Preparation Scoring & Evaluation # Process agent execution history into evaluation rows eval_rows = [] # Define expected answers for our test prompts expected_answers = [ \"Dallas Mavericks and the Minnesota Timberwolves\", \"Season 4, Episode 12\", \"King Cobra\", ] # Create evaluation dataset from agent responses for i, turn in enumerate(session_response.turns): eval_rows.append( { \"input_query\": turn.input_messages[0].content, \"generated_answer\": turn.output_message.content, \"expected_answer\": expected_answers[i], } ) pprint(eval_rows) # Configure scoring parameters scoring_params = { \"basic::subset_of\": None, # Check if generated answer contains expected answer } # Run evaluation using Llama Stack's scoring API scoring_response = client.scoring.score( input_rows=eval_rows, scoring_functions=scoring_params ) pprint(scoring_response) # Analyze results for i, result in enumerate(scoring_response.results): print(f\"Query {i+1}: {result.score}\") print(f\" Generated: {eval_rows[i]['generated_answer'][:100]}...\") print(f\" Expected: {expected_answers[i]}\") print(f\" Score: {result.score}\") print()","s":"3. Evaluate Agent Responses","u":"/v0.3.0/docs/building_applications/evals","h":"#3-evaluate-agent-responses","p":1859},{"i":1871,"t":"Llama Stack provides several built-in scoring functions:","s":"Available Scoring Functions","u":"/v0.3.0/docs/building_applications/evals","h":"#available-scoring-functions","p":1859},{"i":1873,"t":"basic::subset_of: Checks if the expected answer is contained in the generated response basic::exact_match: Performs exact string matching between expected and generated answers basic::regex_match: Uses regular expressions to match patterns in responses","s":"Basic Scoring Functions","u":"/v0.3.0/docs/building_applications/evals","h":"#basic-scoring-functions","p":1859},{"i":1875,"t":"llm_as_judge::accuracy: Uses an LLM to judge response accuracy llm_as_judge::helpfulness: Evaluates how helpful the response is llm_as_judge::safety: Assesses response safety and appropriateness","s":"Advanced Scoring Functions","u":"/v0.3.0/docs/building_applications/evals","h":"#advanced-scoring-functions","p":1859},{"i":1877,"t":"You can also create custom scoring functions for domain-specific evaluation needs.","s":"Custom Scoring Functions","u":"/v0.3.0/docs/building_applications/evals","h":"#custom-scoring-functions","p":1859},{"i":1880,"t":"Use diverse test cases that cover edge cases and common scenarios Include clear expected answers or success criteria Balance your dataset across different difficulty levels","s":"🎯 Dataset Preparation","u":"/v0.3.0/docs/building_applications/evals","h":"#-dataset-preparation","p":1859},{"i":1882,"t":"Choose appropriate scoring functions for your use case Combine multiple metrics for comprehensive evaluation Consider both automated and human evaluation metrics","s":"📊 Metrics Selection","u":"/v0.3.0/docs/building_applications/evals","h":"#-metrics-selection","p":1859},{"i":1884,"t":"Run evaluations regularly during development Use evaluation results to identify areas for improvement Track performance changes over time","s":"🔄 Iterative Improvement","u":"/v0.3.0/docs/building_applications/evals","h":"#-iterative-improvement","p":1859},{"i":1886,"t":"Analyze failures to understand model limitations Generate comprehensive evaluation reports Share results with stakeholders for informed decision-making","s":"📈 Analysis & Reporting","u":"/v0.3.0/docs/building_applications/evals","h":"#-analysis--reporting","p":1859},{"i":1889,"t":"For evaluating large datasets efficiently: # Prepare large evaluation dataset large_eval_dataset = [ {\"input_query\": query, \"expected_answer\": answer} for query, answer in zip(queries, expected_answers) ] # Run batch evaluation batch_results = client.scoring.score( input_rows=large_eval_dataset, scoring_functions={ \"basic::subset_of\": None, \"llm_as_judge::accuracy\": {\"judge_model\": \"meta-llama/Llama-3.3-70B-Instruct\"}, } )","s":"Batch Evaluation","u":"/v0.3.0/docs/building_applications/evals","h":"#batch-evaluation","p":1859},{"i":1891,"t":"Combining different scoring approaches: comprehensive_scoring = { \"exact_match\": \"basic::exact_match\", \"subset_match\": \"basic::subset_of\", \"llm_judge\": \"llm_as_judge::accuracy\", \"safety_check\": \"llm_as_judge::safety\", } results = client.scoring.score( input_rows=eval_rows, scoring_functions=comprehensive_scoring )","s":"Multi-Metric Evaluation","u":"/v0.3.0/docs/building_applications/evals","h":"#multi-metric-evaluation","p":1859},{"i":1893,"t":"Agents - Building agents for evaluation Tools Integration - Using tools in evaluated agents Evaluation Reference - Complete API reference for evaluations Getting Started Notebook - Interactive examples Evaluation Examples - Additional evaluation scenarios","s":"Related Resources","u":"/v0.3.0/docs/building_applications/evals","h":"#related-resources","p":1859},{"i":1895,"t":"Experimental Feature The Llama Stack Playground is currently experimental and subject to change. We welcome feedback and contributions to help improve it. The Llama Stack Playground is a simple interface that aims to: Showcase capabilities and concepts of Llama Stack in an interactive environment Demo end-to-end application code to help users get started building their own applications Provide a UI to help users inspect and understand Llama Stack API providers and resources","s":"Llama Stack Playground","u":"/v0.3.0/docs/building_applications/playground","h":"","p":1894},{"i":1898,"t":"The playground provides interactive pages for users to explore Llama Stack API capabilities: Chatbot Interface​ Your browser does not support the video tag. Chat RAG Chat Simple Chat Interface Chat directly with Llama models through an intuitive interface Uses the /chat/completions streaming API under the hood Real-time message streaming for responsive interactions Perfect for testing model capabilities and prompt engineering Document-Aware Conversations Upload documents to create memory banks Chat with a RAG-enabled agent that can query your documents Uses Llama Stack's /agents API to create and manage RAG sessions Ideal for exploring knowledge-enhanced AI applications Evaluation Interface​ Your browser does not support the video tag. Scoring Evaluations Benchmark Evaluations Custom Dataset Evaluation Upload your own evaluation datasets Run evaluations using available scoring functions Uses Llama Stack's /scoring API for flexible evaluation workflows Great for testing application performance on custom metrics Your browser does not support the video tag. Pre-registered Evaluation Tasks Evaluate models or agents on pre-defined tasks Uses Llama Stack's /eval API for comprehensive evaluation Combines datasets and scoring functions for standardized testing Setup Requirements: Register evaluation datasets and benchmarks first: # Register evaluation dataset llama-stack-client datasets register \\ --dataset-id \"mmlu\" \\ --provider-id \"huggingface\" \\ --url \"https://huggingface.co/datasets/llamastack/evals\" \\ --metadata '{\"path\": \"llamastack/evals\", \"name\": \"evals__mmlu__details\", \"split\": \"train\"}' \\ --schema '{\"input_query\": {\"type\": \"string\"}, \"expected_answer\": {\"type\": \"string\"}, \"chat_completion_input\": {\"type\": \"string\"}}' # Register benchmark task llama-stack-client benchmarks register \\ --eval-task-id meta-reference-mmlu \\ --provider-id meta-reference \\ --dataset-id mmlu \\ --scoring-functions basic::regex_parser_multiple_choice_answer Inspection Interface​ Your browser does not support the video tag. API Providers API Resources Provider Management Inspect available Llama Stack API providers View provider configurations and capabilities Uses the /providers API for real-time provider information Essential for understanding your deployment's capabilities Resource Exploration Inspect Llama Stack API resources including: Models: Available language models Datasets: Registered evaluation datasets Memory Banks: Vector databases and knowledge stores Benchmarks: Evaluation tasks and scoring functions Shields: Safety and content moderation tools Uses //list APIs for comprehensive resource visibility For detailed information about resources, see Core Concepts","s":"Interactive Playground Pages","u":"/v0.3.0/docs/building_applications/playground","h":"#interactive-playground-pages","p":1894},{"i":1901,"t":"Setup Usage Tips 1. Start the Llama Stack API Server llama stack list-deps together | xargs -L1 uv pip install llama stack run together 2. Start the Streamlit UI # Launch the playground interface uv run --with \".[ui]\" streamlit run llama_stack.core/ui/app.py Making the Most of the Playground: Start with Chat: Test basic model interactions and prompt engineering Explore RAG: Upload sample documents to see knowledge-enhanced responses Try Evaluations: Use the scoring interface to understand evaluation metrics Inspect Resources: Check what providers and resources are available Experiment with Settings: Adjust parameters to see how they affect results","s":"Quick Start Guide","u":"/v0.3.0/docs/building_applications/playground","h":"#quick-start-guide","p":1894},{"i":1903,"t":"The playground works with any Llama Stack distribution. Popular options include: Together AI Ollama (Local) Meta Reference llama stack list-deps together | xargs -L1 uv pip install llama stack run together Features: Cloud-hosted models Fast inference Multiple model options llama stack list-deps ollama | xargs -L1 uv pip install llama stack run ollama Features: Local model execution Privacy-focused No internet required llama stack list-deps meta-reference | xargs -L1 uv pip install llama stack run meta-reference Features: Reference implementation All API features available Best for development","s":"Available Distributions","u":"/v0.3.0/docs/building_applications/playground","h":"#available-distributions","p":1894},{"i":1906,"t":"Learning Llama Stack: Hands-on exploration of API capabilities Prompt Engineering: Interactive testing of different prompting strategies RAG Experimentation: Understanding how document retrieval affects responses Evaluation Understanding: See how different metrics evaluate model performance","s":"Educational Use Cases","u":"/v0.3.0/docs/building_applications/playground","h":"#educational-use-cases","p":1894},{"i":1908,"t":"Prototype Testing: Quick validation of application concepts API Exploration: Understanding available endpoints and parameters Integration Planning: Seeing how different components work together Demo Creation: Showcasing Llama Stack capabilities to stakeholders","s":"Development Use Cases","u":"/v0.3.0/docs/building_applications/playground","h":"#development-use-cases","p":1894},{"i":1910,"t":"Model Comparison: Side-by-side testing of different models Evaluation Design: Understanding how scoring functions work Safety Testing: Exploring shield effectiveness with different inputs Performance Analysis: Measuring model behavior across different scenarios","s":"Research Use Cases","u":"/v0.3.0/docs/building_applications/playground","h":"#research-use-cases","p":1894},{"i":1913,"t":"Begin with simple chat interactions to understand basic functionality Gradually explore more advanced features like RAG and evaluations Use the inspection tools to understand your deployment's capabilities","s":"🚀 Getting Started","u":"/v0.3.0/docs/building_applications/playground","h":"#-getting-started","p":1894},{"i":1915,"t":"Use the playground to prototype before writing application code Test different parameter settings interactively Validate evaluation approaches before implementing them programmatically","s":"🔧 Development Workflow","u":"/v0.3.0/docs/building_applications/playground","h":"#-development-workflow","p":1894},{"i":1917,"t":"Start with simple scoring functions before trying complex evaluations Use the playground to understand evaluation results before automation Test safety features with various input types","s":"📊 Evaluation & Testing","u":"/v0.3.0/docs/building_applications/playground","h":"#-evaluation--testing","p":1894},{"i":1919,"t":"Use playground insights to inform your production API usage Test edge cases and error conditions interactively Validate resource configurations before deployment","s":"🎯 Production Preparation","u":"/v0.3.0/docs/building_applications/playground","h":"#-production-preparation","p":1894},{"i":1921,"t":"Getting Started Guide - Complete setup and introduction Core Concepts - Understanding Llama Stack fundamentals Agents - Building intelligent agents RAG (Retrieval Augmented Generation) - Knowledge-enhanced applications Evaluations - Comprehensive evaluation framework API Reference - Complete API documentation","s":"Related Resources","u":"/v0.3.0/docs/building_applications/playground","h":"#related-resources","p":1894},{"i":1923,"t":"RAG enables your applications to reference and recall information from external documents. Llama Stack makes Agentic RAG available through OpenAI's Responses API.","s":"Retrieval Augmented Generation (RAG)","u":"/v0.3.0/docs/building_applications/rag","h":"","p":1922},{"i":1926,"t":"In one terminal, start the Llama Stack server: llama stack list-deps starter | xargs -L1 uv pip install llama stack run starter","s":"1. Start the Server","u":"/v0.3.0/docs/building_applications/rag","h":"#1-start-the-server","p":1922},{"i":1928,"t":"In another terminal, use the standard OpenAI client with the Responses API: import io, requests from openai import OpenAI url = \"https://www.paulgraham.com/greatwork.html\" client = OpenAI(base_url=\"http://localhost:8321/v1/\", api_key=\"none\") # Create vector store - auto-detects default embedding model vs = client.vector_stores.create() response = requests.get(url) pseudo_file = io.BytesIO(str(response.content).encode('utf-8')) file_id = client.files.create(file=(url, pseudo_file, \"text/html\"), purpose=\"assistants\").id client.vector_stores.files.create(vector_store_id=vs.id, file_id=file_id) resp = client.responses.create( model=\"gpt-4o\", input=\"How do you do great work? Use the existing knowledge_search tool.\", tools=[{\"type\": \"file_search\", \"vector_store_ids\": [vs.id]}], include=[\"file_search_call.results\"], ) print(resp.output[-1].content[-1].text) Which should give output like: Doing great work is about more than just hard work and ambition; it involves combining several elements: 1. **Pursue What Excites You**: Engage in projects that are both ambitious and exciting to you. It's important to work on something you have a natural aptitude for and a deep interest in. 2. **Explore and Discover**: Great work often feels like a blend of discovery and creation. Focus on seeing possibilities and let ideas take their natural shape, rather than just executing a plan. 3. **Be Bold Yet Flexible**: Take bold steps in your work without over-planning. An adaptable approach that evolves with new ideas can often lead to breakthroughs. 4. **Work on Your Own Projects**: Develop a habit of working on projects of your own choosing, as these often lead to great achievements. These should be projects you find exciting and that challenge you intellectually. 5. **Be Earnest and Authentic**: Approach your work with earnestness and authenticity. Trying to impress others with affectation can be counterproductive, as genuine effort and intellectual honesty lead to better work outcomes. 6. **Build a Supportive Environment**: Work alongside great colleagues who inspire you and enhance your work. Surrounding yourself with motivating individuals creates a fertile environment for great work. 7. **Maintain High Morale**: High morale significantly impacts your ability to do great work. Stay optimistic and protect your mental well-being to maintain progress and momentum. 8. **Balance**: While hard work is essential, overworking can lead to diminishing returns. Balance periods of intensive work with rest to sustain productivity over time. This approach shows that great work is less about following a strict formula and more about aligning your interests, ambition, and environment to foster creativity and innovation.","s":"2. Connect with OpenAI Client","u":"/v0.3.0/docs/building_applications/rag","h":"#2-connect-with-openai-client","p":1922},{"i":1930,"t":"Llama Stack provides OpenAI-compatible RAG capabilities through: Vector Stores API: OpenAI-compatible vector storage with automatic embedding model detection Files API: Document upload and processing using OpenAI's file format Responses API: Enhanced chat completions with agentic tool calling via file search","s":"Architecture Overview","u":"/v0.3.0/docs/building_applications/rag","h":"#architecture-overview","p":1922},{"i":1932,"t":"To enable automatic vector store creation without specifying embedding models, configure a default embedding model in your run.yaml like so: vector_stores: default_provider_id: faiss default_embedding_model: provider_id: sentence-transformers model_id: nomic-ai/nomic-embed-text-v1.5 With this configuration: client.vector_stores.create() works without requiring embedding model or provider parameters The system automatically uses the default vector store provider (faiss) when multiple providers are available The system automatically uses the default embedding model (sentence-transformers/nomic-ai/nomic-embed-text-v1.5) for any newly created vector store The default_provider_id specifies which vector storage backend to use The default_embedding_model specifies both the inference provider and model for embeddings","s":"Configuring Default Embedding Models","u":"/v0.3.0/docs/building_applications/rag","h":"#configuring-default-embedding-models","p":1922},{"i":1935,"t":"You can create vector stores with automatic or explicit embedding model selection: # Automatic - uses default configured embedding model and vector store provider vs = client.vector_stores.create() # Explicit - specify embedding model and/or provider when you need specific ones vs = client.vector_stores.create( extra_body={ \"provider_id\": \"faiss\", # Optional: specify vector store provider \"embedding_model\": \"sentence-transformers/nomic-ai/nomic-embed-text-v1.5\", \"embedding_dimension\": 768 # Optional: will be auto-detected if not provided } )","s":"Creating Vector Stores","u":"/v0.3.0/docs/building_applications/rag","h":"#creating-vector-stores","p":1922},{"i":1937,"t":"Llama Stack (LLS) provides two different APIs for building AI applications with tool calling capabilities: the Agents API and the OpenAI Responses API. While both enable AI systems to use tools, and maintain full conversation history, they serve different use cases and have distinct characteristics. note Note: For simple and basic inferencing, you may want to use the Chat Completions API directly, before progressing to Agents or Responses API.","s":"Agents vs OpenAI Responses API","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"","p":1936},{"i":1940,"t":"The Agents API is a full-featured, stateful system designed for complex, multi-turn conversations. It maintains conversation state through persistent sessions identified by a unique session ID. The API supports comprehensive agent lifecycle management, detailed execution tracking, and rich metadata about each interaction through a structured session/turn/step hierarchy. The API can orchestrate multiple tool calls within a single turn.","s":"LLS Agents API","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#lls-agents-api","p":1936},{"i":1942,"t":"The OpenAI Responses API is a full-featured, stateful system designed for complex, multi-turn conversations, with direct compatibility with OpenAI's conversational patterns enhanced by LLama Stack's tool calling capabilities. It maintains conversation state by chaining responses through a previous_response_id, allowing interactions to branch or continue from any prior point. Each response can perform multiple tool calls within a single turn.","s":"OpenAI Responses API","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#openai-responses-api","p":1936},{"i":1944,"t":"The LLS Agents API uses the Chat Completions API on the backend for inference as it's the industry standard for building AI applications and most LLM providers are compatible with this API. For a detailed comparison between Responses and Chat Completions, see OpenAI's documentation. Additionally, Agents let you specify input/output shields whereas Responses do not (though support is planned). Agents use a linear conversation model referenced by a single session ID. Responses, on the other hand, support branching, where each response can serve as a fork point, and conversations are tracked by the latest response ID. Responses also lets you dynamically choose the model, vector store, files, MCP servers, and more on each inference call, enabling more complex workflows. Agents require a static configuration for these components at the start of the session. Today the Agents and Responses APIs can be used independently depending on the use case. But, it is also productive to treat the APIs as complementary. It is not currently supported, but it is planned for the LLS Agents API to alternatively use the Responses API as its backend instead of the default Chat Completions API, i.e., enabling a combination of the safety features of Agents with the dynamic configuration and branching capabilities of Responses.","s":"Key Differences","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#key-differences","p":1936},{"i":1946,"t":"Feature LLS Agents API OpenAI Responses API Conversation Management Linear persistent sessions Can branch from any previous response ID Input/Output Safety Shields Supported Not yet supported Per-call Flexibility Static per-session configuration Dynamic per-call configuration","s":"Feature Comparison","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#feature-comparison","p":1936},{"i":1948,"t":"Let's compare how both APIs handle a research task where we need to: Search for current information and examples Access different information sources dynamically Continue the conversation based on search results Agents API Responses API Session-based Configuration with Safety Shields​ # Create agent with static session configuration agent = Agent( client, model=\"Llama3.2-3B-Instruct\", instructions=\"You are a helpful coding assistant\", tools=[ { \"name\": \"builtin::rag/knowledge_search\", \"args\": {\"vector_db_ids\": [\"code_docs\"]}, }, \"builtin::code_interpreter\", ], input_shields=[\"llama_guard\"], output_shields=[\"llama_guard\"], ) session_id = agent.create_session(\"code_session\") # First turn: Search and execute response1 = agent.create_turn( messages=[ { \"role\": \"user\", \"content\": \"Find examples of sorting algorithms and run a bubble sort on [3,1,4,1,5]\", }, ], session_id=session_id, ) # Continue conversation in same session response2 = agent.create_turn( messages=[ { \"role\": \"user\", \"content\": \"Now optimize that code and test it with a larger dataset\", }, ], session_id=session_id, # Same session, maintains full context ) # Agents API benefits: # ✅ Safety shields protect against malicious code execution # ✅ Session maintains context between code executions # ✅ Consistent tool configuration throughout conversation print(f\"First result: {response1.output_message.content}\") print(f\"Optimization: {response2.output_message.content}\") Dynamic Per-call Configuration with Branching​ # First response: Use web search for latest algorithms response1 = client.responses.create( model=\"Llama3.2-3B-Instruct\", input=\"Search for the latest efficient sorting algorithms and their performance comparisons\", tools=[ { \"type\": \"web_search\", }, ], # Web search for current information ) # Continue conversation: Switch to file search for local docs response2 = client.responses.create( model=\"Llama3.2-1B-Instruct\", # Switch to faster model input=\"Now search my uploaded files for existing sorting implementations\", tools=[ { # Using Responses API built-in tools \"type\": \"file_search\", \"vector_store_ids\": [\"vs_abc123\"], # Vector store containing uploaded files }, ], previous_response_id=response1.id, ) # Branch from first response: Try different search approach response3 = client.responses.create( model=\"Llama3.2-3B-Instruct\", input=\"Instead, search the web for Python-specific sorting best practices\", tools=[{\"type\": \"web_search\"}], # Different web search query previous_response_id=response1.id, # Branch from response1 ) # Responses API benefits: # ✅ Dynamic tool switching (web search ↔ file search per call) # ✅ OpenAI-compatible tool patterns (web_search, file_search) # ✅ Branch conversations to explore different information sources # ✅ Model flexibility per search type print(f\"Web search results: {response1.output_message.content}\") print(f\"File search results: {response2.output_message.content}\") print(f\"Alternative web search: {response3.output_message.content}\") Both APIs demonstrate distinct strengths that make them valuable on their own for different scenarios. The Agents API excels in providing structured, safety-conscious workflows with persistent session management, while the Responses API offers flexibility through dynamic configuration and OpenAI compatible tool patterns.","s":"Use Case Example: Research with Multiple Search Methods","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#use-case-example-research-with-multiple-search-methods","p":1936},{"i":1950,"t":"# Create agent with static session configuration agent = Agent( client, model=\"Llama3.2-3B-Instruct\", instructions=\"You are a helpful coding assistant\", tools=[ { \"name\": \"builtin::rag/knowledge_search\", \"args\": {\"vector_db_ids\": [\"code_docs\"]}, }, \"builtin::code_interpreter\", ], input_shields=[\"llama_guard\"], output_shields=[\"llama_guard\"], ) session_id = agent.create_session(\"code_session\") # First turn: Search and execute response1 = agent.create_turn( messages=[ { \"role\": \"user\", \"content\": \"Find examples of sorting algorithms and run a bubble sort on [3,1,4,1,5]\", }, ], session_id=session_id, ) # Continue conversation in same session response2 = agent.create_turn( messages=[ { \"role\": \"user\", \"content\": \"Now optimize that code and test it with a larger dataset\", }, ], session_id=session_id, # Same session, maintains full context ) # Agents API benefits: # ✅ Safety shields protect against malicious code execution # ✅ Session maintains context between code executions # ✅ Consistent tool configuration throughout conversation print(f\"First result: {response1.output_message.content}\") print(f\"Optimization: {response2.output_message.content}\")","s":"Session-based Configuration with Safety Shields","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#session-based-configuration-with-safety-shields","p":1936},{"i":1952,"t":"# First response: Use web search for latest algorithms response1 = client.responses.create( model=\"Llama3.2-3B-Instruct\", input=\"Search for the latest efficient sorting algorithms and their performance comparisons\", tools=[ { \"type\": \"web_search\", }, ], # Web search for current information ) # Continue conversation: Switch to file search for local docs response2 = client.responses.create( model=\"Llama3.2-1B-Instruct\", # Switch to faster model input=\"Now search my uploaded files for existing sorting implementations\", tools=[ { # Using Responses API built-in tools \"type\": \"file_search\", \"vector_store_ids\": [\"vs_abc123\"], # Vector store containing uploaded files }, ], previous_response_id=response1.id, ) # Branch from first response: Try different search approach response3 = client.responses.create( model=\"Llama3.2-3B-Instruct\", input=\"Instead, search the web for Python-specific sorting best practices\", tools=[{\"type\": \"web_search\"}], # Different web search query previous_response_id=response1.id, # Branch from response1 ) # Responses API benefits: # ✅ Dynamic tool switching (web search ↔ file search per call) # ✅ OpenAI-compatible tool patterns (web_search, file_search) # ✅ Branch conversations to explore different information sources # ✅ Model flexibility per search type print(f\"Web search results: {response1.output_message.content}\") print(f\"File search results: {response2.output_message.content}\") print(f\"Alternative web search: {response3.output_message.content}\")","s":"Dynamic Per-call Configuration with Branching","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#dynamic-per-call-configuration-with-branching","p":1936},{"i":1955,"t":"Best Choice: Agents API Scenario: You're building a research assistant for a financial institution that needs to analyze market data, execute code to process financial models, and search through internal compliance documents. The system must ensure all interactions are logged for regulatory compliance and protected by safety shields to prevent malicious code execution or data leaks. Why Agents API? The Agents API provides persistent session management for iterative research workflows, built-in safety shields to protect against malicious code in financial models, and structured execution logs (session/turn/step) required for regulatory compliance. The static tool configuration ensures consistent access to your knowledge base and code interpreter throughout the entire research session.","s":"1. Research and Analysis with Safety Controls","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#1-research-and-analysis-with-safety-controls","p":1936},{"i":1957,"t":"Best Choice: Responses API Scenario: You're building a competitive intelligence tool that helps businesses research market trends. Users need to dynamically switch between web search for current market data and file search through uploaded industry reports. They also want to branch conversations to explore different market segments simultaneously and experiment with different models for various analysis types. Why Responses API? The Responses API's branching capability lets users explore multiple market segments from any research point. Dynamic per-call configuration allows switching between web search and file search as needed, while experimenting with different models (faster models for quick searches, more powerful models for deep analysis). The OpenAI-compatible tool patterns make integration straightforward.","s":"2. Dynamic Information Gathering with Branching Exploration","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#2-dynamic-information-gathering-with-branching-exploration","p":1936},{"i":1959,"t":"Best Choice: Responses API Scenario: You have an existing application built with OpenAI's Assistants API that uses file search and web search capabilities. You want to migrate to Llama Stack for better performance and cost control while maintaining the same tool calling patterns and adding new capabilities like dynamic vector store selection. Why Responses API? The Responses API provides full OpenAI tool compatibility (web_search, file_search) with identical syntax, making migration seamless. The dynamic per-call configuration enables advanced features like switching vector stores per query or changing models based on query complexity - capabilities that extend beyond basic OpenAI functionality while maintaining compatibility.","s":"3. OpenAI Migration with Advanced Tool Capabilities","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#3-openai-migration-with-advanced-tool-capabilities","p":1936},{"i":1961,"t":"Best Choice: Agents API Scenario: You're building a programming tutor that maintains student context across multiple sessions, safely executes code exercises, and tracks learning progress with audit trails for educators. Why Agents API? Persistent sessions remember student progress across multiple interactions, safety shields prevent malicious code execution while allowing legitimate programming exercises, and structured execution logs help educators track learning patterns.","s":"4. Educational Programming Tutor","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#4-educational-programming-tutor","p":1936},{"i":1963,"t":"Best Choice: Agents API with Responses Backend Scenario: You're building a debugging assistant that helps developers troubleshoot complex issues. It needs to maintain context throughout a debugging session, safely execute diagnostic code, switch between different analysis tools dynamically, and branch conversations to explore multiple potential causes simultaneously. Why Agents + Responses? The Agent provides safety shields for code execution and session management for the overall debugging workflow. The underlying Responses API enables dynamic model selection and flexible tool configuration per query, while branching lets you explore different theories (memory leak vs. concurrency issue) from the same debugging point and compare results. Future Enhancement The ability to use Responses API as the backend for Agents is not yet implemented but is planned for a future release. Currently, Agents use Chat Completions API as their backend by default.","s":"5. Advanced Software Debugging Assistant","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#5-advanced-software-debugging-assistant","p":1936},{"i":1965,"t":"Use this framework to choose the right API for your use case:","s":"Decision Framework","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#decision-framework","p":1936},{"i":1967,"t":"✅ You need safety shields for input/output validation ✅ Your application requires linear conversation flow with persistent context ✅ You need audit trails and structured execution logs ✅ Your tool configuration is static throughout the session ✅ You're building educational, financial, or enterprise applications with compliance requirements","s":"Choose Agents API when:","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#choose-agents-api-when","p":1936},{"i":1969,"t":"✅ You need conversation branching to explore multiple paths ✅ You want dynamic per-call configuration (models, tools, vector stores) ✅ You're migrating from OpenAI and want familiar tool patterns ✅ You need OpenAI compatibility for existing workflows ✅ Your application benefits from flexible, experimental interactions","s":"Choose Responses API when:","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#choose-responses-api-when","p":1936},{"i":1971,"t":"Agents - Understanding the Agents API fundamentals Agent Execution Loop - How agents process turns and steps Tools Integration - Adding capabilities to both APIs OpenAI Compatibility - Using OpenAI-compatible endpoints Safety Guardrails - Implementing safety measures in agents","s":"Related Resources","u":"/v0.3.0/docs/building_applications/responses_vs_agents","h":"#related-resources","p":1936},{"i":1973,"t":"Safety is a critical component of any AI application. Llama Stack provides a comprehensive Shield system that can be applied at multiple touchpoints to ensure responsible AI behavior and content moderation.","s":"Safety Guardrails","u":"/v0.3.0/docs/building_applications/safety","h":"","p":1972},{"i":1975,"t":"The Shield system in Llama Stack provides: Content filtering for both input and output messages Multi-touchpoint protection across your application flow Configurable safety policies tailored to your use case Integration with agents for automated safety enforcement","s":"Shield System Overview","u":"/v0.3.0/docs/building_applications/safety","h":"#shield-system-overview","p":1972},{"i":1978,"t":"Shield Registration Manual Safety Check # Register a safety shield shield_id = \"content_safety\" client.shields.register( shield_id=shield_id, provider_shield_id=\"llama-guard-basic\" ) # Run content through shield manually response = client.safety.run_shield( shield_id=shield_id, messages=[{\"role\": \"user\", \"content\": \"User message here\"}] ) if response.violation: print(f\"Safety violation detected: {response.violation.user_message}\") # Handle violation appropriately else: print(\"Content passed safety checks\")","s":"Registering a Safety Shield","u":"/v0.3.0/docs/building_applications/safety","h":"#registering-a-safety-shield","p":1972},{"i":1980,"t":"Shields can be automatically applied to agent interactions for seamless safety enforcement: Input Shields Output Shields Input & Output Shields from llama_stack_client import Agent # Create agent with input safety shields agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=\"You are a helpful assistant\", input_shields=[\"content_safety\"], # Shield user inputs tools=[\"builtin::websearch\"], ) session_id = agent.create_session(\"safe_session\") # All user inputs will be automatically screened response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Tell me about AI safety\"}], session_id=session_id, ) # Create agent with output safety shields agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=\"You are a helpful assistant\", output_shields=[\"content_safety\"], # Shield agent outputs tools=[\"builtin::websearch\"], ) session_id = agent.create_session(\"safe_session\") # All agent responses will be automatically screened response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Help me with my research\"}], session_id=session_id, ) # Create agent with comprehensive safety coverage agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=\"You are a helpful assistant\", input_shields=[\"content_safety\"], # Screen user inputs output_shields=[\"content_safety\"], # Screen agent outputs tools=[\"builtin::websearch\"], ) session_id = agent.create_session(\"fully_protected_session\") # Both input and output are automatically protected response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Research question here\"}], session_id=session_id, )","s":"Agent Integration","u":"/v0.3.0/docs/building_applications/safety","h":"#agent-integration","p":1972},{"i":1983,"t":"Llama Guard provides state-of-the-art content safety classification: Basic Llama Guard Advanced Llama Guard # Basic Llama Guard for general content safety client.shields.register( shield_id=\"llama_guard_basic\", provider_shield_id=\"llama-guard-basic\" ) Use Cases: General content moderation Harmful content detection Basic safety compliance # Advanced Llama Guard with custom categories client.shields.register( shield_id=\"llama_guard_advanced\", provider_shield_id=\"llama-guard-advanced\", config={ \"categories\": [ \"violence\", \"hate_speech\", \"sexual_content\", \"self_harm\", \"illegal_activity\" ], \"threshold\": 0.8 } ) Use Cases: Fine-tuned safety policies Domain-specific content filtering Enterprise compliance requirements","s":"Llama Guard Shields","u":"/v0.3.0/docs/building_applications/safety","h":"#llama-guard-shields","p":1972},{"i":1985,"t":"Create domain-specific safety shields for specialized use cases: # Register custom safety shield client.shields.register( shield_id=\"financial_compliance\", provider_shield_id=\"custom-financial-shield\", config={ \"detect_pii\": True, \"financial_advice_warning\": True, \"regulatory_compliance\": \"FINRA\" } )","s":"Custom Safety Shields","u":"/v0.3.0/docs/building_applications/safety","h":"#custom-safety-shields","p":1972},{"i":1987,"t":"When safety violations are detected, handle them appropriately: Basic Handling Advanced Handling response = client.safety.run_shield( shield_id=\"content_safety\", messages=[{\"role\": \"user\", \"content\": \"Potentially harmful content\"}] ) if response.violation: violation = response.violation print(f\"Violation Type: {violation.violation_type}\") print(f\"User Message: {violation.user_message}\") print(f\"Metadata: {violation.metadata}\") # Log the violation for audit purposes logger.warning(f\"Safety violation detected: {violation.violation_type}\") # Provide appropriate user feedback return \"I can't help with that request. Please try asking something else.\" def handle_safety_response(safety_response, user_message): \"\"\"Advanced safety response handling with logging and user feedback\"\"\" if not safety_response.violation: return {\"safe\": True, \"message\": \"Content passed safety checks\"} violation = safety_response.violation # Log violation details audit_log = { \"timestamp\": datetime.now().isoformat(), \"violation_type\": violation.violation_type, \"original_message\": user_message, \"shield_response\": violation.user_message, \"metadata\": violation.metadata } logger.warning(f\"Safety violation: {audit_log}\") # Determine appropriate response based on violation type if violation.violation_type == \"hate_speech\": user_feedback = \"I can't engage with content that contains hate speech. Let's keep our conversation respectful.\" elif violation.violation_type == \"violence\": user_feedback = \"I can't provide information that could promote violence. How else can I help you today?\" else: user_feedback = \"I can't help with that request. Please try asking something else.\" return { \"safe\": False, \"user_feedback\": user_feedback, \"violation_details\": audit_log } # Usage safety_result = handle_safety_response(response, user_input) if not safety_result[\"safe\"]: return safety_result[\"user_feedback\"]","s":"Safety Response Handling","u":"/v0.3.0/docs/building_applications/safety","h":"#safety-response-handling","p":1972},{"i":1990,"t":"Use both input and output shields for comprehensive coverage Combine multiple shield types for different threat categories Implement fallback mechanisms when shields fail","s":"🛡️ Multi-Layer Protection","u":"/v0.3.0/docs/building_applications/safety","h":"#️-multi-layer-protection","p":1972},{"i":1992,"t":"Log all safety violations for compliance and analysis Monitor false positive rates to tune shield sensitivity Track safety metrics across different use cases","s":"📊 Monitoring & Auditing","u":"/v0.3.0/docs/building_applications/safety","h":"#-monitoring--auditing","p":1972},{"i":1994,"t":"Use environment-specific safety configurations Implement A/B testing for shield effectiveness Regularly update shield models and policies","s":"⚙️ Configuration Management","u":"/v0.3.0/docs/building_applications/safety","h":"#️-configuration-management","p":1972},{"i":1996,"t":"Integrate shields early in the development process Test safety measures with adversarial inputs Provide clear user feedback for violations","s":"🔧 Integration Patterns","u":"/v0.3.0/docs/building_applications/safety","h":"#-integration-patterns","p":1972},{"i":1999,"t":"# Safety shields that consider conversation context agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=\"You are a healthcare assistant\", input_shields=[\"medical_safety\"], output_shields=[\"medical_safety\"], # Context helps shields make better decisions safety_context={ \"domain\": \"healthcare\", \"user_type\": \"patient\", \"compliance_level\": \"HIPAA\" } )","s":"Context-Aware Safety","u":"/v0.3.0/docs/building_applications/safety","h":"#context-aware-safety","p":1972},{"i":2001,"t":"def select_shield_for_user(user_profile): \"\"\"Select appropriate safety shield based on user context\"\"\" if user_profile.age < 18: return \"child_safety_shield\" elif user_profile.context == \"enterprise\": return \"enterprise_compliance_shield\" else: return \"general_safety_shield\" # Use dynamic shield selection shield_id = select_shield_for_user(current_user) response = client.safety.run_shield( shield_id=shield_id, messages=messages )","s":"Dynamic Shield Selection","u":"/v0.3.0/docs/building_applications/safety","h":"#dynamic-shield-selection","p":1972},{"i":2004,"t":"Healthcare (HIPAA) Financial (FINRA) Education (COPPA) # Healthcare-specific safety configuration client.shields.register( shield_id=\"hipaa_compliance\", provider_shield_id=\"healthcare-safety-shield\", config={ \"detect_phi\": True, # Protected Health Information \"medical_advice_warning\": True, \"regulatory_framework\": \"HIPAA\" } ) # Financial services safety configuration client.shields.register( shield_id=\"finra_compliance\", provider_shield_id=\"financial-safety-shield\", config={ \"detect_financial_advice\": True, \"investment_disclaimers\": True, \"regulatory_framework\": \"FINRA\" } ) # Educational platform safety for minors client.shields.register( shield_id=\"coppa_compliance\", provider_shield_id=\"educational-safety-shield\", config={ \"child_protection\": True, \"educational_content_only\": True, \"regulatory_framework\": \"COPPA\" } )","s":"Industry-Specific Safety","u":"/v0.3.0/docs/building_applications/safety","h":"#industry-specific-safety","p":1972},{"i":2006,"t":"Agents - Integrating safety shields with intelligent agents Agent Execution Loop - Understanding safety in the execution flow Evaluations - Evaluating safety shield effectiveness Telemetry - Monitoring safety violations and metrics Llama Guard Documentation - Advanced safety model details","s":"Related Resources","u":"/v0.3.0/docs/building_applications/safety","h":"#related-resources","p":1972},{"i":2008,"t":"The Llama Stack uses OpenTelemetry to provide comprehensive tracing, metrics, and logging capabilities.","s":"Telemetry","u":"/v0.3.0/docs/building_applications/telemetry","h":"","p":2007},{"i":2010,"t":"Llama Stack automatically generates metrics during inference operations. These metrics are aggregated at the inference request level and provide insights into token usage and model performance.","s":"Automatic Metrics Generation","u":"/v0.3.0/docs/building_applications/telemetry","h":"#automatic-metrics-generation","p":2007},{"i":2012,"t":"The following metrics are automatically generated for each inference request: Metric Name Type Unit Description Labels llama_stack_prompt_tokens_total Counter tokens Number of tokens in the input prompt model_id, provider_id llama_stack_completion_tokens_total Counter tokens Number of tokens in the generated response model_id, provider_id llama_stack_tokens_total Counter tokens Total tokens used (prompt + completion) model_id, provider_id","s":"Available Metrics","u":"/v0.3.0/docs/building_applications/telemetry","h":"#available-metrics","p":2007},{"i":2014,"t":"Token Counting: During inference operations (chat completion, completion, etc.), the system counts tokens in both input prompts and generated responses Metric Construction: For each request, MetricEvent objects are created with the token counts Telemetry Logging: Metrics are sent to the configured telemetry sinks OpenTelemetry Export: When OpenTelemetry is enabled, metrics are exposed as standard OpenTelemetry counters","s":"Metric Generation Flow","u":"/v0.3.0/docs/building_applications/telemetry","h":"#metric-generation-flow","p":2007},{"i":2016,"t":"All metrics are generated and aggregated at the inference request level. This means: Each individual inference request generates its own set of metrics Metrics are not pre-aggregated across multiple requests Aggregation (sums, averages, etc.) can be performed by your observability tools (Prometheus, Grafana, etc.) Each metric includes labels for model_id and provider_id to enable filtering and grouping","s":"Metric Aggregation Level","u":"/v0.3.0/docs/building_applications/telemetry","h":"#metric-aggregation-level","p":2007},{"i":2018,"t":"MetricEvent( trace_id=\"1234567890abcdef\", span_id=\"abcdef1234567890\", metric=\"total_tokens\", value=150, timestamp=1703123456.789, unit=\"tokens\", attributes={ \"model_id\": \"meta-llama/Llama-3.2-3B-Instruct\", \"provider_id\": \"tgi\" }, )","s":"Example Metric Event","u":"/v0.3.0/docs/building_applications/telemetry","h":"#example-metric-event","p":2007},{"i":2020,"t":"Choose from multiple sink types based on your observability needs: OpenTelemetry Console Send events to an OpenTelemetry Collector for integration with observability platforms: Use Cases: Visualizing traces in tools like Jaeger Collecting metrics for Prometheus Integration with enterprise observability stacks Features: Standard OpenTelemetry format Compatible with all OpenTelemetry collectors Supports both traces and metrics Print events to the console for immediate debugging: Use Cases: Development and testing Quick debugging sessions Simple logging without external tools Features: Immediate output visibility No setup required Human-readable format","s":"Telemetry Sinks","u":"/v0.3.0/docs/building_applications/telemetry","h":"#telemetry-sinks","p":2007},{"i":2023,"t":"Currently, only the meta-reference provider is implemented. It can be configured to send events to multiple sink types: telemetry: - provider_id: meta-reference provider_type: inline::meta-reference config: service_name: \"llama-stack-service\" sinks: ['console', 'otel_trace', 'otel_metric'] otel_exporter_otlp_endpoint: \"http://localhost:4318\"","s":"Meta-Reference Provider","u":"/v0.3.0/docs/building_applications/telemetry","h":"#meta-reference-provider","p":2007},{"i":2025,"t":"Configure telemetry behavior using environment variables: OTEL_EXPORTER_OTLP_ENDPOINT: OpenTelemetry Collector endpoint (default: http://localhost:4318) OTEL_SERVICE_NAME: Service name for telemetry (default: empty string) TELEMETRY_SINKS: Comma-separated list of sinks (default: [])","s":"Environment Variables","u":"/v0.3.0/docs/building_applications/telemetry","h":"#environment-variables","p":2007},{"i":2027,"t":"Use the automated setup script to launch the complete telemetry stack (Jaeger, OpenTelemetry Collector, Prometheus, and Grafana): ./scripts/telemetry/setup_telemetry.sh This sets up: Jaeger UI: http://localhost:16686 (traces visualization) Prometheus: http://localhost:9090 (metrics) Grafana: http://localhost:3000 (dashboards with auto-configured data sources) OTEL Collector: http://localhost:4318 (OTLP endpoint) Once running, you can visualize traces by navigating to Grafana and login with login admin and password admin.","s":"Quick Setup: Complete Telemetry Stack","u":"/v0.3.0/docs/building_applications/telemetry","h":"#quick-setup-complete-telemetry-stack","p":2007},{"i":2029,"t":"When using the OpenTelemetry sink, metrics are exposed in standard format and can be queried through various tools: Prometheus Queries Grafana Dashboards OpenTelemetry Collector Example Prometheus queries for analyzing token usage: # Total tokens used across all models sum(llama_stack_tokens_total) # Tokens per model sum by (model_id) (llama_stack_tokens_total) # Average tokens per request over 5 minutes rate(llama_stack_tokens_total[5m]) # Token usage by provider sum by (provider_id) (llama_stack_tokens_total) Create dashboards using Prometheus as a data source: Token Usage Over Time: Line charts showing token consumption trends Model Performance: Comparison of different models by token efficiency Provider Analysis: Breakdown of usage across different providers Request Patterns: Understanding peak usage times and patterns Forward metrics to other observability systems: Export to multiple backends simultaneously Apply transformations and filtering Integrate with existing monitoring infrastructure","s":"Querying Metrics","u":"/v0.3.0/docs/building_applications/telemetry","h":"#querying-metrics","p":2007},{"i":2032,"t":"Use OpenTelemetry for production environments Set up alerts on key metrics like token usage and error rates","s":"🔍 Monitoring Strategy","u":"/v0.3.0/docs/building_applications/telemetry","h":"#-monitoring-strategy","p":2007},{"i":2034,"t":"Track token usage trends to optimize costs Monitor response times across different models Analyze usage patterns to improve resource allocation","s":"📊 Metrics Analysis","u":"/v0.3.0/docs/building_applications/telemetry","h":"#-metrics-analysis","p":2007},{"i":2036,"t":"Set up alerts for unusual token consumption spikes Use trace data to debug performance issues Monitor error rates and failure patterns","s":"🚨 Alerting & Debugging","u":"/v0.3.0/docs/building_applications/telemetry","h":"#-alerting--debugging","p":2007},{"i":2038,"t":"Use environment variables for flexible deployment Ensure proper network access to OpenTelemetry collectors","s":"🔧 Configuration Management","u":"/v0.3.0/docs/building_applications/telemetry","h":"#-configuration-management","p":2007},{"i":2040,"t":"Agents - Monitoring agent execution with telemetry Evaluations - Using telemetry data for performance evaluation Getting Started Notebook - Telemetry examples and queries OpenTelemetry Documentation - Comprehensive observability framework Jaeger Documentation - Distributed tracing visualization","s":"Related Resources","u":"/v0.3.0/docs/building_applications/telemetry","h":"#related-resources","p":2007},{"i":2042,"t":"Tools are functions that can be invoked by an agent to perform tasks. They are organized into tool groups and registered with specific providers. Each tool group represents a collection of related tools from a single provider. They are organized into groups so that state can be externalized: the collection operates on the same state typically. An example of this would be a \"db_access\" tool group that contains tools for interacting with a database. \"list_tables\", \"query_table\", \"insert_row\" could be examples of tools in this group. Tools are treated as any other resource in llama stack like models. You can register them, have providers for them etc. When instantiating an agent, you can provide it a list of tool groups that it has access to. Agent gets the corresponding tool definitions for the specified tool groups and passes them along to the model. Refer to the Building AI Applications notebook for more examples on how to use tools.","s":"Tools","u":"/v0.3.0/docs/building_applications/tools","h":"","p":2041},{"i":2044,"t":"Llama Stack allows you to use both server-side and client-side tools. With server-side tools, agent.create_turn can perform execution of the tool calls emitted by the model transparently giving the user the final answer desired. If client-side tools are provided, the tool call is sent back to the user for execution and optional continuation using the agent.resume_turn method.","s":"Server-side vs. Client-side Tool Execution","u":"/v0.3.0/docs/building_applications/tools","h":"#server-side-vs-client-side-tool-execution","p":2041},{"i":2046,"t":"Llama Stack provides built-in providers for some common tools. These include web search, math, and RAG capabilities.","s":"Server-side Tools","u":"/v0.3.0/docs/building_applications/tools","h":"#server-side-tools","p":2041},{"i":2048,"t":"You have three providers to execute the web search tool calls generated by a model: Brave Search, Bing Search, and Tavily Search. To indicate that the web search tool calls should be executed by brave-search, you can point the \"builtin::websearch\" toolgroup to the \"brave-search\" provider. client.toolgroups.register( toolgroup_id=\"builtin::websearch\", provider_id=\"brave-search\", args={\"max_results\": 5}, ) The tool requires an API key which can be provided either in the configuration or through the request header X-LlamaStack-Provider-Data. The format of the header is: {\"_api_key\": }","s":"Web Search","u":"/v0.3.0/docs/building_applications/tools","h":"#web-search","p":2041},{"i":2050,"t":"The WolframAlpha tool provides access to computational knowledge through the WolframAlpha API. client.toolgroups.register( toolgroup_id=\"builtin::wolfram_alpha\", provider_id=\"wolfram-alpha\" ) Example usage: result = client.tool_runtime.invoke_tool( tool_name=\"wolfram_alpha\", args={\"query\": \"solve x^2 + 2x + 1 = 0\"} )","s":"Math","u":"/v0.3.0/docs/building_applications/tools","h":"#math","p":2041},{"i":2052,"t":"The RAG tool enables retrieval of context from various types of memory banks (vector, key-value, keyword, and graph). # Register Memory tool group client.toolgroups.register( toolgroup_id=\"builtin::rag\", provider_id=\"faiss\", args={\"max_chunks\": 5, \"max_tokens_in_context\": 4096}, ) Features: Support for multiple memory bank types Configurable query generation Context retrieval with token limits Default Configuration By default, llama stack run.yaml defines toolgroups for web search, wolfram alpha and rag, that are provided by tavily-search, wolfram-alpha and rag providers.","s":"RAG","u":"/v0.3.0/docs/building_applications/tools","h":"#rag","p":2041},{"i":2054,"t":"MCP is an upcoming, popular standard for tool discovery and execution. It is a protocol that allows tools to be dynamically discovered from an MCP endpoint and can be used to extend the agent's capabilities.","s":"Model Context Protocol (MCP)","u":"/v0.3.0/docs/building_applications/tools","h":"#model-context-protocol-mcp","p":2041},{"i":2056,"t":"You can find some popular remote MCP servers here. You can register them as toolgroups in the same way as local providers. client.toolgroups.register( toolgroup_id=\"mcp::deepwiki\", provider_id=\"model-context-protocol\", mcp_endpoint=URL(uri=\"https://mcp.deepwiki.com/sse\"), ) Note that most of the more useful MCP servers need you to authenticate with them. Many of them use OAuth2.0 for authentication. You can provide authorization headers to send to the MCP server using the \"Provider Data\" abstraction provided by Llama Stack. When making an agent call, agent = Agent( ..., tools=[\"mcp::deepwiki\"], extra_headers={ \"X-LlamaStack-Provider-Data\": json.dumps( { \"mcp_headers\": { \"http://mcp.deepwiki.com/sse\": { \"Authorization\": \"Bearer \", }, }, } ), }, ) agent.create_turn(...)","s":"Using Remote MCP Servers","u":"/v0.3.0/docs/building_applications/tools","h":"#using-remote-mcp-servers","p":2041},{"i":2058,"t":"Here's an example of how to run a simple MCP server that exposes a File System as a set of tools to the Llama Stack agent. Server Setup Registration # Start your MCP server mkdir /tmp/content touch /tmp/content/foo touch /tmp/content/bar npx -y supergateway --port 8000 --stdio 'npx -y @modelcontextprotocol/server-filesystem /tmp/content' # Register the MCP server as a tool group client.toolgroups.register( toolgroup_id=\"mcp::filesystem\", provider_id=\"model-context-protocol\", mcp_endpoint=URL(uri=\"http://localhost:8000/sse\"), )","s":"Running Your Own MCP Server","u":"/v0.3.0/docs/building_applications/tools","h":"#running-your-own-mcp-server","p":2041},{"i":2060,"t":"When you want to use tools other than the built-in tools, you just need to implement a python function with a docstring. The content of the docstring will be used to describe the tool and the parameters and passed along to the generative model. # Example tool definition def my_tool(input: int) -> int: \"\"\" Runs my awesome tool. :param input: some int parameter \"\"\" return input * 2 Documentation Best Practices We employ python docstrings to describe the tool and the parameters. It is important to document the tool and the parameters so that the model can use the tool correctly. It is recommended to experiment with different docstrings to see how they affect the model's behavior. Once defined, simply pass the tool to the agent config. Agent will take care of the rest (calling the model with the tool definition, executing the tool, and returning the result to the model for the next iteration). # Example agent config with client provided tools agent = Agent(client, ..., tools=[my_tool]) Refer to llama-stack-apps for an example of how to use client provided tools.","s":"Adding Custom (Client-side) Tools","u":"/v0.3.0/docs/building_applications/tools","h":"#adding-custom-client-side-tools","p":2041},{"i":2062,"t":"Tools can be invoked using the invoke_tool method: result = client.tool_runtime.invoke_tool( tool_name=\"web_search\", kwargs={\"query\": \"What is the capital of France?\"} ) The result contains: content: The tool's output error_message: Optional error message if the tool failed error_code: Optional error code if the tool failed","s":"Tool Invocation","u":"/v0.3.0/docs/building_applications/tools","h":"#tool-invocation","p":2041},{"i":2064,"t":"You can list all available tools or filter by tool group: # List all tools all_tools = client.tools.list_tools() # List tools in a specific group group_tools = client.tools.list_tools(toolgroup_id=\"search_tools\")","s":"Listing Available Tools","u":"/v0.3.0/docs/building_applications/tools","h":"#listing-available-tools","p":2041},{"i":2067,"t":"Setup & Configuration Implementation Start by registering a Tavily API key at Tavily. [Optional] Set the API key in your environment before starting the Llama Stack server export TAVILY_SEARCH_API_KEY=\"your key\" from llama_stack_client.lib.agents.agent import Agent from llama_stack_client.types.agent_create_params import AgentConfig from llama_stack_client.lib.agents.event_logger import EventLogger from llama_stack_client import LlamaStackClient client = LlamaStackClient( base_url=f\"http://localhost:8321\", provider_data={ \"tavily_search_api_key\": \"your_TAVILY_SEARCH_API_KEY\" }, # Set this from the client side. No need to provide it if it has already been configured on the Llama Stack server. ) agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=( \"You are a web search assistant, must use websearch tool to look up the most current and precise information available. \" ), tools=[\"builtin::websearch\"], ) session_id = agent.create_session(\"websearch-session\") response = agent.create_turn( messages=[ {\"role\": \"user\", \"content\": \"How did the USA perform in the last Olympics?\"} ], session_id=session_id, ) for log in EventLogger().log(response): log.print()","s":"Web Search Agent","u":"/v0.3.0/docs/building_applications/tools","h":"#web-search-agent","p":2041},{"i":2069,"t":"Setup & Configuration Implementation Start by registering for a WolframAlpha API key at WolframAlpha Developer Portal. Provide the API key either by setting it in your environment before starting the Llama Stack server: export WOLFRAM_ALPHA_API_KEY=\"your key\" or from the client side: client = LlamaStackClient( base_url=\"http://localhost:8321\", provider_data={\"wolfram_alpha_api_key\": wolfram_api_key}, ) # Configure the tools in the Agent by setting tools=[\"builtin::wolfram_alpha\"] agent = Agent( client, model=\"meta-llama/Llama-3.2-3B-Instruct\", instructions=\"You are a mathematical assistant that can solve complex equations.\", tools=[\"builtin::wolfram_alpha\"], ) session_id = agent.create_session(\"math-session\") # Example user query response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Solve x^2 + 2x + 1 = 0 using WolframAlpha\"}], session_id=session_id, )","s":"WolframAlpha Math Agent","u":"/v0.3.0/docs/building_applications/tools","h":"#wolframalpha-math-agent","p":2041},{"i":2072,"t":"Use server-side tools for production applications requiring reliability and security Use client-side tools for development, prototyping, or specialized integrations Combine multiple tool types for comprehensive functionality","s":"🛠️ Tool Selection","u":"/v0.3.0/docs/building_applications/tools","h":"#️-tool-selection","p":2041},{"i":2074,"t":"Write clear, detailed docstrings for custom tools Include parameter descriptions and expected return types Test tool descriptions with the model to ensure proper usage","s":"📝 Documentation","u":"/v0.3.0/docs/building_applications/tools","h":"#-documentation","p":2041},{"i":2076,"t":"Store API keys securely using environment variables or secure configuration Use the X-LlamaStack-Provider-Data header for dynamic authentication Validate tool inputs and outputs for security","s":"🔐 Security","u":"/v0.3.0/docs/building_applications/tools","h":"#-security","p":2041},{"i":2078,"t":"Implement proper error handling in custom tools Use structured error responses with meaningful messages Monitor tool performance and reliability","s":"🔄 Error Handling","u":"/v0.3.0/docs/building_applications/tools","h":"#-error-handling","p":2041},{"i":2080,"t":"Agents - Building intelligent agents with tools RAG (Retrieval Augmented Generation) - Using knowledge retrieval tools Agent Execution Loop - Understanding tool execution flow Building AI Applications Notebook - Comprehensive examples Llama Stack Apps Examples - Real-world tool implementations","s":"Related Resources","u":"/v0.3.0/docs/building_applications/tools","h":"#related-resources","p":2041},{"i":2082,"t":"Given Llama Stack's service-oriented philosophy, a few concepts and workflows arise which may not feel completely natural in the LLM landscape, especially if you are coming with a background in other frameworks.","s":"Core Concepts","u":"/v0.3.0/docs/concepts","h":"","p":2081},{"i":2084,"t":"This section covers the fundamental concepts of Llama Stack: Architecture - Learn about Llama Stack's architectural design and principles APIs - Understanding the core APIs and their stability levels API Overview - Core APIs available in Llama Stack API Providers - How providers implement APIs External APIs - External APIs available in Llama Stack API Stability Leveling - API stability and versioning Distributions - Pre-configured deployment packages Resources - Understanding Llama Stack resources and their lifecycle","s":"Documentation Structure","u":"/v0.3.0/docs/concepts","h":"#documentation-structure","p":2081},{"i":2086,"t":"If you're new to Llama Stack, we recommend starting with: Architecture - Understand the overall system design APIs - Learn about the available APIs and their purpose Distributions - Choose a pre-configured setup for your use case Each concept builds upon the previous ones to give you a comprehensive understanding of how Llama Stack works and how to use it effectively.","s":"Getting Started","u":"/v0.3.0/docs/concepts","h":"#getting-started","p":2081},{"i":2088,"t":"A Llama Stack API is described as a collection of REST endpoints. We currently support the following APIs: Inference: run inference with a LLM Safety: apply safety policies to the output at a Systems (not only model) level Agents: run multi-step agentic workflows with LLMs with tool usage, memory (RAG), etc. DatasetIO: interface with datasets and data loaders Scoring: evaluate outputs of the system Eval: generate outputs (via Inference or Agents) and perform scoring VectorIO: perform operations on vector stores, such as adding documents, searching, and deleting documents Telemetry: collect telemetry data from the system Post Training: fine-tune a model Tool Runtime: interact with various tools and protocols Responses: generate responses from an LLM using this OpenAI compatible API. We are working on adding a few more APIs to complete the application lifecycle. These will include: Batch Inference: run inference on a dataset of inputs Batch Agents: run agents on a dataset of inputs Synthetic Data Generation: generate synthetic data for model development Batches: OpenAI-compatible batch management for inference","s":"APIs","u":"/v0.3.0/docs/concepts/apis","h":"","p":2087},{"i":2090,"t":"In order to provide a stable experience in Llama Stack, the various APIs need different stability levels indicating the level of support, backwards compatability, and overall production readiness.","s":"Llama Stack API Stability Leveling","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"","p":2089},{"i":2093,"t":"Little to no expectation of support between versions Breaking changes are permitted Datatypes and parameters can break Routes can be added and removed Graduation Criteria​ an API can graduate from v1alpha to v1beta if the team has identified the extent of the non-optional routes and the shape of their parameters/return types for the API eg. /v1/openai/chat/completions. Optional types can change. CRUD must stay stable once in v1beta. This is a commitment to backward compatibility, guaranteeing that most code you write against the v1beta version will not break during future updates. We may make additive changes (like adding a new, optional field to a response), but we will not make breaking changes (like renaming an existing \"modelName\" field to \"name\", changing an ID's data type from an integer to a string, or altering an endpoint URL). for OpenAI APIs, a comparison to the OpenAI spec for the specific API can be done to ensure completeness.","s":"v1alpha","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#v1alpha","p":2089},{"i":2095,"t":"API routes remain consistent between versions Parameters and return types are not ensured between versions API, besides minor fixes and adjustments, should be almost v1. Changes should not be drastic. Graduation Criteria​ an API can graduate from v1beta to v1 if the API surface and datatypes are complete as identified by the team. The parameters and return types that are mandatory for each route are stable. All aspects of graduating from v1alpha1 to v1beta apply as well. Optional parameters, routes, or parts of the return type can be added after graduating to v1","s":"v1beta","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#v1beta","p":2089},{"i":2097,"t":"Considered stable Backwards compatible between Z-streams Y-stream breaking changes must go through the proper approval and announcement process. Datatypes for a route and its return types cannot change between Z-streams Y-stream datatype changes should be sparing, unless the changes are additional net-new parameters Must have proper conformance testing as outlined in https://github.com/llamastack/llama-stack/issues/3237","s":"v1 (stable)","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#v1-stable","p":2089},{"i":2099,"t":"Introducing a new major version like /v2 is a significant and disruptive event that should be treated as a last resort. It is reserved for essential changes to a stable /v1 API that are fundamentally backward-incompatible and cannot be implemented through additive, non-breaking changes or breaking changes across X/Y-Stream releases (x.y.z). If a /v2 version is deemed absolutely necessary, it must adhere to the following protocol to ensure a sane and predictable transition for users: Lifecycle Progression​ A new major version must follow the same stability lifecycle as /v1. It will be introduced as /v2alpha, mature to /v2beta, and finally become stable as /v2. Coexistence:​ The new /v2 API must be introduced alongside the existing /v1 API and run in parallel. It must not replace the /v1 API immediately. Deprecation Policy:​ When a /v2 API is introduced, a clear and generous deprecation policy for the /v1 API must be published simultaneously. This policy must outline the timeline for the eventual removal of the /v1 API, giving users ample time to migrate.","s":"v2+ (Major Versions)","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#v2-major-versions","p":2089},{"i":2101,"t":"Deprecated APIs are those that are no longer actively maintained or supported. Depreated APIs are marked with the flag deprecated = True in the OpenAPI spec. These APIs will be removed in a future release.","s":"Deprecated APIs","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#deprecated-apis","p":2089},{"i":2103,"t":"The leveling introduced in this document relates to the stability of the API and not specifically the providers within the API. Providers can iterate as much as they want on functionality as long as they work within the bounds of an API. If they need to change the API, then the API should not be /v1, or those breaking changes can only happen on a y-stream release basis.","s":"API Stability vs. Provider Stability","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#api-stability-vs-provider-stability","p":2089},{"i":2105,"t":"PR Labeling: Any pull request that introduces a breaking API change must be clearly labeled with breaking-change. PR Title/Commit: Any pull request that introduces a breaking API change must contain BREAKING CHANGE in the title and commit footer. Alternatively, the commit can include !, eg. feat(api)!: title goes here This is outlined in the conventional commits documentation Maintainer Review: At least one maintainer must explicitly acknowledge the breaking change during review by applying the breaking-change label. An approval must come with this label or the acknowledgement this label has already been applied. Announcement: Breaking changes require inclusion in release notes and, if applicable, a separate communication (e.g., Discord, Github Issues, or GitHub Discussions) prior to release. If a PR has proper approvals, labels, and commit/title hygiene, the failing API conformance tests will be bypassed.","s":"Approval and Announcement Process for Breaking Changes","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#approval-and-announcement-process-for-breaking-changes","p":2089},{"i":2108,"t":"Instead of placing every API under /v1, any API that is not fully stable or complete should go under /v1alpha or /v1beta. For example, at the time of this writing, post_training belongs here, as well as any OpenAI-compatible API whose surface does not exactly match the upstream OpenAI API it mimics. This migration is crucial as we get Llama Stack in the hands of users who intend to productize various APIs. A clear view of what is stable and what is actively being developed will enable users to pick and choose various APIs to build their products on. This migration will be a breaking change for any API moving out of /v1. Ideally, this should happen before 0.3.0 and especially 1.0.0.","s":"Migration of API routes under /v1alpha, /v1beta, and /v1","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#migration-of-api-routes-under-v1alpha-v1beta-and-v1","p":2089},{"i":2110,"t":"x-stability tags allow tools like oasdiff to enforce different rules for different stability levels; these tags should match the routes: oasdiff stability","s":"x-stability tags in the OpenAPI spec for oasdiff","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#x-stability-tags-in-the-openapi-spec-for-oasdiff","p":2089},{"i":2112,"t":"The testing of each stable API is already outlined in issue #3237 and is being worked on. These sorts of conformance tests should apply primarily to /v1 APIs only, with /v1alpha and /v1beta having any tests the maintainers see fit as well as basic testing to ensure the routing works properly.","s":"Testing","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#testing","p":2089},{"i":2114,"t":"Any subsequently introduced APIs should be introduced as /v1alpha","s":"New APIs going forward","u":"/v0.3.0/docs/concepts/apis/api_leveling","h":"#new-apis-going-forward","p":2089},{"i":2116,"t":"The goal of Llama Stack is to build an ecosystem where users can easily swap out different implementations for the same API. Examples for these include: LLM inference providers (e.g., Fireworks, Together, AWS Bedrock, Groq, Cerebras, SambaNova, vLLM, etc.), Vector databases (e.g., ChromaDB, Weaviate, Qdrant, Milvus, FAISS, PGVector, etc.), Safety providers (e.g., Meta's Llama Guard, AWS Bedrock Guardrails, etc.) Providers come in two flavors: Remote: the provider runs as a separate service external to the Llama Stack codebase. Llama Stack contains a small amount of adapter code. Inline: the provider is fully specified and implemented within the Llama Stack codebase. It may be a simple wrapper around an existing library, or a full fledged implementation within Llama Stack. Most importantly, Llama Stack always strives to provide at least one fully inline provider for each API so you can iterate on a fully featured environment locally.","s":"API Providers","u":"/v0.3.0/docs/concepts/apis/api_providers","h":"","p":2115},{"i":2118,"t":"Llama Stack supports external APIs that live outside of the main codebase. This allows you to: Create and maintain your own APIs independently Share APIs with others without contributing to the main codebase Keep API-specific code separate from the core Llama Stack code","s":"External APIs","u":"/v0.3.0/docs/concepts/apis/external","h":"","p":2117},{"i":2120,"t":"To enable external APIs, you need to configure the external_apis_dir in your Llama Stack configuration. This directory should contain your external API specifications: external_apis_dir: ~/.llama/apis.d/","s":"Configuration","u":"/v0.3.0/docs/concepts/apis/external","h":"#configuration","p":2117},{"i":2122,"t":"The external APIs directory should follow this structure: apis.d/ custom_api1.yaml custom_api2.yaml Each YAML file in these directories defines an API specification.","s":"Directory Structure","u":"/v0.3.0/docs/concepts/apis/external","h":"#directory-structure","p":2117},{"i":2124,"t":"Here's an example of an external API specification for a weather API: module: weather api_dependencies: - inference protocol: WeatherAPI name: weather pip_packages: - llama-stack-api-weather","s":"API Specification","u":"/v0.3.0/docs/concepts/apis/external","h":"#api-specification","p":2117},{"i":2126,"t":"module: Python module containing the API implementation protocol: Name of the protocol class for the API name: Name of the API pip_packages: List of pip packages to install the API, typically a single package","s":"API Specification Fields","u":"/v0.3.0/docs/concepts/apis/external","h":"#api-specification-fields","p":2117},{"i":2128,"t":"External APIs must expose a available_providers() function in their module that returns a list of provider names: # llama_stack_api_weather/api.py from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec def available_providers() -> list[ProviderSpec]: return [ InlineProviderSpec( api=Api.weather, provider_type=\"inline::darksky\", pip_packages=[], module=\"llama_stack_provider_darksky\", config_class=\"llama_stack_provider_darksky.DarkSkyWeatherImplConfig\", ), ] A Protocol class like so: # llama_stack_api_weather/api.py from typing import Protocol from llama_stack.schema_utils import webmethod class WeatherAPI(Protocol): \"\"\" A protocol for the Weather API. \"\"\" @webmethod(route=\"/locations\", method=\"GET\") async def get_available_locations() -> dict[str, list[str]]: \"\"\" Get the available locations. \"\"\" ...","s":"Required Implementation","u":"/v0.3.0/docs/concepts/apis/external","h":"#required-implementation","p":2117},{"i":2130,"t":"Here's a complete example of creating and using a custom API: First, create the API package: mkdir -p llama-stack-api-weather cd llama-stack-api-weather mkdir src/llama_stack_api_weather git init uv init Edit pyproject.toml: [project] name = \"llama-stack-api-weather\" version = \"0.1.0\" description = \"Weather API for Llama Stack\" readme = \"README.md\" requires-python = \">=3.12\" dependencies = [\"llama-stack\", \"pydantic\"] [build-system] requires = [\"setuptools\"] build-backend = \"setuptools.build_meta\" [tool.setuptools.packages.find] where = [\"src\"] include = [\"llama_stack_api_weather\", \"llama_stack_api_weather.*\"] Create the initial files: touch src/llama_stack_api_weather/__init__.py touch src/llama_stack_api_weather/api.py # llama-stack-api-weather/src/llama_stack_api_weather/__init__.py \"\"\"Weather API for Llama Stack.\"\"\" from .api import WeatherAPI, available_providers __all__ = [\"WeatherAPI\", \"available_providers\"] Create the API implementation: # llama-stack-api-weather/src/llama_stack_api_weather/weather.py from typing import Protocol from llama_stack.providers.datatypes import ( Api, ProviderSpec, RemoteProviderSpec, ) from llama_stack.schema_utils import webmethod def available_providers() -> list[ProviderSpec]: return [ RemoteProviderSpec( api=Api.weather, provider_type=\"remote::kaze\", config_class=\"llama_stack_provider_kaze.KazeProviderConfig\", adapter_type=\"kaze\", module=\"llama_stack_provider_kaze\", pip_packages=[\"llama_stack_provider_kaze\"], config_class=\"llama_stack_provider_kaze.KazeProviderConfig\", ), ] class WeatherProvider(Protocol): \"\"\" A protocol for the Weather API. \"\"\" @webmethod(route=\"/weather/locations\", method=\"GET\") async def get_available_locations() -> dict[str, list[str]]: \"\"\" Get the available locations. \"\"\" ... Create the API specification: # ~/.llama/apis.d/weather.yaml module: llama_stack_api_weather name: weather pip_packages: [\"llama-stack-api-weather\"] protocol: WeatherProvider Install the API package: uv pip install -e . Configure Llama Stack to use external APIs: version: \"2\" image_name: \"llama-stack-api-weather\" apis: - weather providers: {} external_apis_dir: ~/.llama/apis.d The API will now be available at /v1/weather/locations.","s":"Example: Custom API","u":"/v0.3.0/docs/concepts/apis/external","h":"#example-custom-api","p":2117},{"i":2132,"t":"Create the provider package: mkdir -p llama-stack-provider-kaze cd llama-stack-provider-kaze uv init Edit pyproject.toml: [project] name = \"llama-stack-provider-kaze\" version = \"0.1.0\" description = \"Kaze weather provider for Llama Stack\" readme = \"README.md\" requires-python = \">=3.12\" dependencies = [\"llama-stack\", \"pydantic\", \"aiohttp\"] [build-system] requires = [\"setuptools\"] build-backend = \"setuptools.build_meta\" [tool.setuptools.packages.find] where = [\"src\"] include = [\"llama_stack_provider_kaze\", \"llama_stack_provider_kaze.*\"] Create the initial files: touch src/llama_stack_provider_kaze/__init__.py touch src/llama_stack_provider_kaze/kaze.py Create the provider implementation: Initialization function: # llama-stack-provider-kaze/src/llama_stack_provider_kaze/__init__.py \"\"\"Kaze weather provider for Llama Stack.\"\"\" from .config import KazeProviderConfig from .kaze import WeatherKazeAdapter __all__ = [\"KazeProviderConfig\", \"WeatherKazeAdapter\"] async def get_adapter_impl(config: KazeProviderConfig, _deps): from .kaze import WeatherKazeAdapter impl = WeatherKazeAdapter(config) await impl.initialize() return impl Configuration: # llama-stack-provider-kaze/src/llama_stack_provider_kaze/config.py from pydantic import BaseModel, Field class KazeProviderConfig(BaseModel): \"\"\"Configuration for the Kaze weather provider.\"\"\" base_url: str = Field( \"https://api.kaze.io/v1\", description=\"Base URL for the Kaze weather API\", ) Main implementation: # llama-stack-provider-kaze/src/llama_stack_provider_kaze/kaze.py from llama_stack_api_weather.api import WeatherProvider from .config import KazeProviderConfig class WeatherKazeAdapter(WeatherProvider): \"\"\"Kaze weather provider implementation.\"\"\" def __init__( self, config: KazeProviderConfig, ) -> None: self.config = config async def initialize(self) -> None: pass async def get_available_locations(self) -> dict[str, list[str]]: \"\"\"Get available weather locations.\"\"\" return {\"locations\": [\"Paris\", \"Tokyo\"]} Create the provider specification: # ~/.llama/providers.d/remote/weather/kaze.yaml adapter_type: kaze pip_packages: [\"llama_stack_provider_kaze\"] config_class: llama_stack_provider_kaze.config.KazeProviderConfig module: llama_stack_provider_kaze optional_api_dependencies: [] Install the provider package: uv pip install -e . Configure Llama Stack to use the provider: # ~/.llama/run-byoa.yaml version: \"2\" image_name: \"llama-stack-api-weather\" apis: - weather providers: weather: - provider_id: kaze provider_type: remote::kaze config: {} external_apis_dir: ~/.llama/apis.d external_providers_dir: ~/.llama/providers.d server: port: 8321 Run the server: llama stack run ~/.llama/run-byoa.yaml Test the API: curl -sSf http://127.0.0.1:8321/v1/weather/locations {\"locations\":[\"Paris\",\"Tokyo\"]}%","s":"Example: custom provider for the weather API","u":"/v0.3.0/docs/concepts/apis/external","h":"#example-custom-provider-for-the-weather-api","p":2117},{"i":2134,"t":"Package Naming: Use a clear and descriptive name for your API package. Version Management: Keep your API package versioned and compatible with the Llama Stack version you're using. Dependencies: Only include the minimum required dependencies in your API package. Documentation: Include clear documentation in your API package about: Installation requirements Configuration options API endpoints and usage Any limitations or known issues Testing: Include tests in your API package to ensure it works correctly with Llama Stack.","s":"Best Practices","u":"/v0.3.0/docs/concepts/apis/external","h":"#best-practices","p":2117},{"i":2136,"t":"If your external API isn't being loaded: Check that the external_apis_dir path is correct and accessible. Verify that the YAML files are properly formatted. Ensure all required Python packages are installed. Check the Llama Stack server logs for any error messages - turn on debug logging to get more information using LLAMA_STACK_LOGGING=all=debug. Verify that the API package is installed in your Python environment.","s":"Troubleshooting","u":"/v0.3.0/docs/concepts/apis/external","h":"#troubleshooting","p":2117},{"i":2138,"t":"Llama Stack allows you to build different layers of distributions for your AI workloads using various SDKs and API providers.","s":"Llama Stack architecture","u":"/v0.3.0/docs/concepts/architecture","h":"","p":2137},{"i":2141,"t":"Building production AI applications today requires solving multiple challenges: Infrastructure Complexity Running large language models efficiently requires specialized infrastructure. Different deployment scenarios (local development, cloud, edge) need different solutions. Moving from development to production often requires significant rework. Essential Capabilities Safety guardrails and content filtering are necessary in an enterprise setting. Just model inference is not enough - Knowledge retrieval and RAG capabilities are required. Nearly any application needs composable multi-step workflows. Without monitoring, observability and evaluation, you end up operating in the dark. Lack of Flexibility and Choice Directly integrating with multiple providers creates tight coupling. Different providers have different APIs and abstractions. Changing providers requires significant code changes.","s":"Current challenges in custom AI applications","u":"/v0.3.0/docs/concepts/architecture","h":"#current-challenges-in-custom-ai-applications","p":2137},{"i":2143,"t":"Llama Stack addresses these challenges through a service-oriented, API-first approach: Develop Anywhere, Deploy Everywhere Start locally with CPU-only setups Move to GPU acceleration when needed Deploy to cloud or edge without code changes Same APIs and developer experience everywhere Production-Ready Building Blocks Pre-built safety guardrails and content filtering Built-in RAG and agent capabilities Comprehensive evaluation toolkit Full observability and monitoring True Provider Independence Swap providers without application changes Mix and match best-in-class implementations Federation and fallback support No vendor lock-in Robust Ecosystem Llama Stack is already integrated with distribution partners (cloud providers, hardware vendors, and AI-focused companies). Ecosystem offers tailored infrastructure, software, and services for deploying a variety of models.","s":"Our Solution: A Universal Stack","u":"/v0.3.0/docs/concepts/architecture","h":"#our-solution-a-universal-stack","p":2137},{"i":2145,"t":"Service-Oriented: REST APIs enforce clean interfaces and enable seamless transitions across different environments. Composability: Every component is independent but works together seamlessly Production Ready: Built for real-world applications, not just demos Turnkey Solutions: Easy to deploy built in solutions for popular deployment scenarios With Llama Stack, you can focus on building your application while we handle the infrastructure complexity, essential capabilities, and provider integrations.","s":"Our Philosophy","u":"/v0.3.0/docs/concepts/architecture","h":"#our-philosophy","p":2137},{"i":2147,"t":"While there is a lot of flexibility to mix-and-match providers, often users will work with a specific set of providers (hardware support, contractual obligations, etc.) We therefore need to provide a convenient shorthand for such collections. We call this shorthand a Llama Stack Distribution or a Distro. One can think of it as specific pre-packaged versions of the Llama Stack. Here are some examples: Remotely Hosted Distro: These are the simplest to consume from a user perspective. You can simply obtain the API key for these providers, point to a URL and have all Llama Stack APIs working out of the box. Currently, Fireworks and Together provide such easy-to-consume Llama Stack distributions. Locally Hosted Distro: You may want to run Llama Stack on your own hardware. Typically though, you still need to use Inference via an external service. You can use providers like HuggingFace TGI, Fireworks, Together, etc. for this purpose. Or you may have access to GPUs and can run a vLLM or NVIDIA NIM instance. If you \"just\" have a regular desktop machine, you can use Ollama for inference. To provide convenient quick access to these options, we provide a number of such pre-configured locally-hosted Distros. On-device Distro: To run Llama Stack directly on an edge device (mobile phone or a tablet), we provide Distros for iOS and Android","s":"Distributions","u":"/v0.3.0/docs/concepts/distributions","h":"","p":2146},{"i":2149,"t":"The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks. We introduce a set of APIs in Llama Stack for supporting running evaluations of LLM applications: /datasetio + /datasets API /scoring + /scoring_functions API /eval + /benchmarks API This guide goes over the sets of APIs and developer experience flow of using Llama Stack to run evaluations for different use cases. Checkout our Colab notebook on working examples with evaluations here. The Evaluation APIs are associated with a set of Resources. Please visit the Resources section in our Core Concepts guide for better high-level understanding. DatasetIO: defines interface with datasets and data loaders. Associated with Dataset resource. Scoring: evaluate outputs of the system. Associated with ScoringFunction resource. We provide a suite of out-of-the box scoring functions and also the ability for you to add custom evaluators. These scoring functions are the core part of defining an evaluation task to output evaluation metrics. Eval: generate outputs (via Inference or Agents) and perform scoring. Associated with Benchmark resource.","s":"Evaluation Concepts","u":"/v0.3.0/docs/concepts/evaluation_concepts","h":"","p":2148},{"i":2152,"t":"Llama stack pre-registers several popular open-benchmarks to easily evaluate model perfomance via CLI. The list of open-benchmarks we currently support: MMLU-COT (Measuring Massive Multitask Language Understanding): Benchmark designed to comprehensively evaluate the breadth and depth of a model's academic and professional understanding GPQA-COT (A Graduate-Level Google-Proof Q&A Benchmark): A challenging benchmark of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. SimpleQA: Benchmark designed to access models to answer short, fact-seeking questions. MMMU (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models. You can follow this contributing guide to add more open-benchmarks to Llama Stack","s":"List of open-benchmarks Llama Stack support","u":"/v0.3.0/docs/concepts/evaluation_concepts","h":"#list-of-open-benchmarks-llama-stack-support","p":2148},{"i":2154,"t":"We have built-in functionality to run the supported open-benckmarks using llama-stack-client CLI Spin up Llama Stack server​ Spin up llama stack server with 'open-benchmark' template llama stack run llama_stack/distributions/open-benchmark/run.yaml Run eval CLI​ There are 3 necessary inputs to run a benchmark eval list of benchmark_ids: The list of benchmark ids to run evaluation on model-id: The model id to evaluate on output_dir: Path to store the evaluate results llama-stack-client eval run-benchmark ... \\ --model_id \\ --output_dir You can run llama-stack-client eval run-benchmark help to see the description of all the flags that eval run-benchmark has In the output log, you can find the file path that has your evaluation results. Open that file and you can see you aggregate evaluation results over there.","s":"Run evaluation on open-benchmarks via CLI","u":"/v0.3.0/docs/concepts/evaluation_concepts","h":"#run-evaluation-on-open-benchmarks-via-cli","p":2148},{"i":2156,"t":"Check out our Colab notebook on working examples with running benchmark evaluations here. Check out our Building Applications - Evaluation guide for more details on how to use the Evaluation APIs to evaluate your applications. Check out our Evaluation Reference for more details on the APIs.","s":"What's Next?","u":"/v0.3.0/docs/concepts/evaluation_concepts","h":"#whats-next","p":2148},{"i":2158,"t":"Some of these APIs are associated with a set of Resources. Here is the mapping of APIs to resources: Inference, Eval and Post Training are associated with Model resources. Safety is associated with Shield resources. Tool Runtime is associated with ToolGroup resources. DatasetIO is associated with Dataset resources. VectorIO is associated with VectorDB resources. Scoring is associated with ScoringFunction resources. Eval is associated with Model and Benchmark resources. Furthermore, we allow these resources to be federated across multiple providers. For example, you may have some Llama models served by Fireworks while others are served by AWS Bedrock. Regardless, they will all work seamlessly with the same uniform Inference API provided by Llama Stack. Registering Resources Given this architecture, it is necessary for the Stack to know which provider to use for a given resource. This means you need to explicitly register resources (including models) before you can use them with the associated APIs.","s":"Resources","u":"/v0.3.0/docs/concepts/resources","h":"","p":2157},{"i":2160,"t":"We want to make contributing to this project as easy and transparent as possible.","s":"Contributing to Llama Stack","u":"/v0.3.0/docs/contributing","h":"","p":2159},{"i":2162,"t":"We use uv to manage python dependencies and virtual environments. You can install uv by following this guide. You can install the dependencies by running: cd llama-stack uv sync --group dev uv pip install -e . source .venv/bin/activate You can use a specific version of Python with `uv` by adding the `--python ` flag (e.g. `--python 3.12`). Otherwise, `uv` will automatically select a Python version according to the `requires-python` section of the `pyproject.toml`. For more info, see the [uv docs around Python versions](https://docs.astral.sh/uv/concepts/python-versions/). Note that you can create a dotenv file .env that includes necessary environment variables: LLAMA_STACK_BASE_URL=http://localhost:8321 LLAMA_STACK_CLIENT_LOG=debug LLAMA_STACK_PORT=8321 LLAMA_STACK_CONFIG= TAVILY_SEARCH_API_KEY= BRAVE_SEARCH_API_KEY= And then use this dotenv file when running client SDK tests via the following: uv run --env-file .env -- pytest -v tests/integration/inference/test_text_inference.py --text-model=meta-llama/Llama-3.1-8B-Instruct","s":"Set up your development environment","u":"/v0.3.0/docs/contributing","h":"#set-up-your-development-environment","p":2159},{"i":2164,"t":"We use pre-commit to run linting and formatting checks on your code. You can install the pre-commit hooks by running: uv run pre-commit install After that, pre-commit hooks will run automatically before each commit. Alternatively, if you don't want to install the pre-commit hooks, you can run the checks manually by running: uv run pre-commit run --all-files Before pushing your changes, make sure that the pre-commit hooks have passed successfully.","s":"Pre-commit Hooks","u":"/v0.3.0/docs/contributing","h":"#pre-commit-hooks","p":2159},{"i":2166,"t":"We actively welcome your pull requests. However, please read the following. This is heavily inspired by Ghostty. If in doubt, please open a discussion; we can always convert that to an issue later.","s":"Discussions -> Issues -> Pull Requests","u":"/v0.3.0/docs/contributing","h":"#discussions---issues---pull-requests","p":2159},{"i":2168,"t":"We use GitHub issues to track public bugs. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue. Meta has a bounty program for the safe disclosure of security bugs. In those cases, please go through the process outlined on that page and do not file a public issue.","s":"Issues","u":"/v0.3.0/docs/contributing","h":"#issues","p":2159},{"i":2170,"t":"In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Meta's open source projects. Complete your CLA here: https://code.facebook.com/cla I'd like to contribute! If you are new to the project, start by looking at the issues tagged with \"good first issue\". If you're interested leave a comment on the issue and a triager will assign it to you. Please avoid picking up too many issues at once. This helps you stay focused and ensures that others in the community also have opportunities to contribute. Try to work on only 1–2 issues at a time, especially if you’re still getting familiar with the codebase. Before taking an issue, check if it’s already assigned or being actively discussed. If you’re blocked or can’t continue with an issue, feel free to unassign yourself or leave a comment so others can step in. I have a bug! Search the issue tracker and discussions for similar issues. If you don't have steps to reproduce, open a discussion. If you have steps to reproduce, open an issue. I have an idea for a feature! Open a discussion. I've implemented a feature! If there is an issue for the feature, open a pull request. If there is no issue, open a discussion and link to your branch. I have a question! Open a discussion or use Discord. Opening a Pull Request Fork the repo and create your branch from main. If you've changed APIs, update the documentation. Ensure the test suite passes. Make sure your code lints using pre-commit. If you haven't already, complete the Contributor License Agreement (\"CLA\"). Ensure your pull request follows the conventional commits format. Ensure your pull request follows the coding style. Please keep pull requests (PRs) small and focused. If you have a large set of changes, consider splitting them into logically grouped, smaller PRs to facilitate review and testing. As a general guideline: - Experienced contributors should try to keep no more than 5 open PRs at a time. - New contributors are encouraged to have only one open PR at a time until they’re familiar with the codebase and process.","s":"Contributor License Agreement (\"CLA\")","u":"/v0.3.0/docs/contributing","h":"#contributor-license-agreement-cla","p":2159},{"i":2173,"t":"Comments should provide meaningful insights into the code. Avoid filler comments that simply describe the next step, as they create unnecessary clutter, same goes for docstrings. Prefer comments to clarify surprising behavior and/or relationships between parts of the code rather than explain what the next line of code does. Catching exceptions, prefer using a specific exception type rather than a broad catch-all like Exception. Error messages should be prefixed with \"Failed to ...\" 4 spaces for indentation rather than tab When using # noqa to suppress a style or linter warning, include a comment explaining the justification for bypassing the check. When using # type: ignore to suppress a mypy warning, include a comment explaining the justification for bypassing the check. Don't use unicode characters in the codebase. ASCII-only is preferred for compatibility or readability reasons. Providers configuration class should be Pydantic Field class. It should have a description field that describes the configuration. These descriptions will be used to generate the provider documentation. When possible, use keyword arguments only when calling functions. Llama Stack utilizes custom Exception classes for certain Resources that should be used where applicable.","s":"Coding Style","u":"/v0.3.0/docs/contributing","h":"#coding-style","p":2159},{"i":2175,"t":"By contributing to Llama, you agree that your contributions will be licensed under the LICENSE file in the root directory of this source tree.","s":"License","u":"/v0.3.0/docs/contributing","h":"#license","p":2159},{"i":2177,"t":"Some tips about common tasks you work on while contributing to Llama Stack:","s":"Common Tasks","u":"/v0.3.0/docs/contributing","h":"#common-tasks","p":2159},{"i":2179,"t":"git clone https://github.com/meta-llama/llama-stack.git cd llama-stack uv run llama stack list-deps | xargs -L1 uv pip install # (Optional) If you are developing the llama-stack-client-python package, you can add it as an editable package. git clone https://github.com/meta-llama/llama-stack-client-python.git uv add --editable ../llama-stack-client-python","s":"Setup for development","u":"/v0.3.0/docs/contributing","h":"#setup-for-development","p":2159},{"i":2181,"t":"If you have made changes to a provider's configuration in any form (introducing a new config key, or changing models, etc.), you should run ./scripts/distro_codegen.py to re-generate various YAML files as well as the documentation. You should not change docs/source/.../distributions/ files manually as they are auto-generated.","s":"Updating distribution configurations","u":"/v0.3.0/docs/contributing","h":"#updating-distribution-configurations","p":2159},{"i":2183,"t":"If you have made changes to a provider's configuration, you should run ./scripts/provider_codegen.py to re-generate the documentation. You should not change docs/source/.../providers/ files manually as they are auto-generated. Note that the provider \"description\" field will be used to generate the provider documentation.","s":"Updating the provider documentation","u":"/v0.3.0/docs/contributing","h":"#updating-the-provider-documentation","p":2159},{"i":2185,"t":"If you are making changes to the documentation at https://llamastack.github.io/, you can use the following command to build the documentation and preview your changes. # This rebuilds the documentation pages and the OpenAPI spec. npm install npm run gen-api-docs all npm run build # This will start a local server (usually at http://127.0.0.1:3000). npm run serve","s":"Building the Documentation","u":"/v0.3.0/docs/contributing","h":"#building-the-documentation","p":2159},{"i":2187,"t":"If you modify or add new API endpoints, update the API documentation accordingly. You can do this by running the following command: uv run ./docs/openapi_generator/run_openapi_generator.sh The generated API schema will be available in docs/static/. Make sure to review the changes before committing.","s":"Update API Documentation","u":"/v0.3.0/docs/contributing","h":"#update-api-documentation","p":2159},{"i":2189,"t":"See: Adding a New API Provider Page which describes how to add new API providers to the Stack. Vector Database Page which describes how to add a new vector databases with Llama Stack. External Provider Page which describes how to add external providers to the Stack.","s":"Adding a New Provider","u":"/v0.3.0/docs/contributing","h":"#adding-a-new-provider","p":2159},{"i":2191,"t":"See the Testing README for detailed testing information.","s":"Testing","u":"/v0.3.0/docs/contributing","h":"#testing","p":2159},{"i":2193,"t":"For developers who need deeper understanding of the testing system internals: Record-Replay Testing","s":"Advanced Topics","u":"/v0.3.0/docs/contributing","h":"#advanced-topics","p":2159},{"i":2195,"t":"See the Benchmarking README for benchmarking information.","s":"Benchmarking","u":"/v0.3.0/docs/contributing","h":"#benchmarking","p":2159},{"i":2197,"t":"This guide will walk you through the process of adding a new API provider to Llama Stack. Begin by reviewing the core concepts of Llama Stack and choose the API your provider belongs to (Inference, Safety, VectorIO, etc.) Determine the provider type (Remote or Inline). Remote providers make requests to external services, while inline providers execute implementation locally. Add your provider to the appropriate Registry. Specify pip dependencies necessary. Update any distribution Templates build.yaml and run.yaml files if they should include your provider by default. Run ./scripts/distro_codegen.py if necessary. Note that distro_codegen.py will fail if the new provider causes any distribution template to attempt to import provider-specific dependencies. This usually means the distribution's get_distribution_template() code path should only import any necessary Config or model alias definitions from each provider and not the provider's actual implementation. Here are some example PRs to help you get started: Grok Inference Implementation Nvidia Inference Implementation Model context protocol Tool Runtime","s":"Adding a New API Provider","u":"/v0.3.0/docs/contributing/new_api_provider","h":"","p":2196},{"i":2199,"t":"Type Internal (In-tree) External (out-of-tree) Description A provider that is directly in the Llama Stack code A provider that is outside of the Llama stack core codebase but is still accessible and usable by Llama Stack. Benefits Ability to interact with the provider with minimal additional configurations or installations Contributors do not have to add directly to the code to create providers accessible on Llama Stack. Keep provider-specific code separate from the core Llama Stack code.","s":"Guidelines for creating Internal or External Providers","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#guidelines-for-creating-internal-or-external-providers","p":2196},{"i":2201,"t":"When implementing Inference providers for OpenAI-compatible APIs, Llama Stack provides several mixin classes to simplify development and ensure consistent behavior across providers.","s":"Inference Provider Patterns","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#inference-provider-patterns","p":2196},{"i":2203,"t":"The OpenAIMixin class provides direct OpenAI API functionality for providers that work with OpenAI-compatible endpoints. It includes: Direct API Methods​ openai_completion(): Legacy text completion API with full parameter support openai_chat_completion(): Chat completion API supporting streaming, tools, and function calling openai_embeddings(): Text embeddings generation with customizable encoding and dimensions Model Management​ check_model_availability(): Queries the API endpoint to verify if a model exists and is accessible Client Management​ client property: Automatically creates and configures AsyncOpenAI client instances using your provider's credentials Required Implementation​ To use OpenAIMixin, your provider must implement these abstract methods: @abstractmethod def get_api_key(self) -> str: \"\"\"Return the API key for authentication\"\"\" pass @abstractmethod def get_base_url(self) -> str: \"\"\"Return the OpenAI-compatible API base URL\"\"\" pass","s":"OpenAIMixin","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#openaimixin","p":2196},{"i":2205,"t":"Before running tests, you must have required dependencies installed. This depends on the providers or distributions you are testing. For example, if you are testing the together distribution, install its dependencies with llama stack list-deps together | xargs -L1 uv pip install.","s":"Testing the Provider","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#testing-the-provider","p":2196},{"i":2207,"t":"Integration tests are located in tests/integration. These tests use the python client-SDK APIs (from the llama_stack_client package) to test functionality. Since these tests use client APIs, they can be run either by pointing to an instance of the Llama Stack server or \"inline\" by using LlamaStackAsLibraryClient. Consult tests/integration/README.md for more details on how to run the tests. Note that each provider's sample_run_config() method (in the configuration class for that provider) typically references some environment variables for specifying API keys and the like. You can set these in the environment before running the test command.","s":"1. Integration Testing","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#1-integration-testing","p":2196},{"i":2209,"t":"Unit tests are located in tests/unit. Provider-specific unit tests are located in tests/unit/providers. These tests are all run automatically as part of the CI process. Consult tests/unit/README.md for more details on how to run the tests manually.","s":"2. Unit Testing","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#2-unit-testing","p":2196},{"i":2211,"t":"Start a Llama Stack server with your new provider Verify compatibility with existing client scripts in the llama-stack-apps repository Document which scripts are compatible with your provider","s":"3. Additional end-to-end testing","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#3-additional-end-to-end-testing","p":2196},{"i":2213,"t":"Ensure all tests pass Include a comprehensive test plan in your PR summary Document any known limitations or considerations","s":"Submitting Your PR","u":"/v0.3.0/docs/contributing/new_api_provider","h":"#submitting-your-pr","p":2196},{"i":2215,"t":"This guide will walk you through the process of adding a new vector database to Llama Stack. NOTE: Here's an example Pull Request of the Milvus Vector Database Provider. Vector Database providers are used to store and retrieve vector embeddings. Vector databases are not limited to vector search but can support keyword and hybrid search. Additionally, vector database can also support operations like filtering, sorting, and aggregating vectors.","s":"Adding a New Vector Database","u":"/v0.3.0/docs/contributing/new_vector_database","h":"","p":2214},{"i":2217,"t":"Choose the Database Type: Determine if your vector database is a remote service, inline, or both. Remote databases make requests to external services, while inline databases execute locally. Some providers support both. Implement the Provider: Create a new provider class that inherits from VectorDatabaseProvider and implements the required methods. Implement methods for vector storage, retrieval, search, and any additional features your database supports. You will need to implement the following methods for YourVectorIndex: YourVectorIndex.create() YourVectorIndex.initialize() YourVectorIndex.add_chunks() YourVectorIndex.delete_chunk() YourVectorIndex.query_vector() YourVectorIndex.query_keyword() YourVectorIndex.query_hybrid() You will need to implement the following methods for YourVectorIOAdapter: YourVectorIOAdapter.initialize() YourVectorIOAdapter.shutdown() YourVectorIOAdapter.list_vector_dbs() YourVectorIOAdapter.register_vector_db() YourVectorIOAdapter.unregister_vector_db() YourVectorIOAdapter.insert_chunks() YourVectorIOAdapter.query_chunks() YourVectorIOAdapter.delete_chunks() Add to Registry: Register your provider in the appropriate registry file. Update llama_stack/providers/registry/vector_io.py to include your new provider. from llama_stack.providers.registry.specs import InlineProviderSpec from llama_stack.providers.registry.api import Api InlineProviderSpec( api=Api.vector_io, provider_type=\"inline::milvus\", pip_packages=[\"pymilvus>=2.4.10\"], module=\"llama_stack.providers.inline.vector_io.milvus\", config_class=\"llama_stack.providers.inline.vector_io.milvus.MilvusVectorIOConfig\", api_dependencies=[Api.inference], optional_api_dependencies=[Api.files], description=\"\", ), Add Tests: Create unit tests and integration tests for your provider in the tests/ directory. Unit Tests By following the structure of the class methods, you will be able to easily run unit and integration tests for your database. You have to configure the tests for your provide in /tests/unit/providers/vector_io/conftest.py. Update the vector_provider fixture to include your provider if they are an inline provider. Create a your_vectorprovider_index fixture that initializes your vector index. Create a your_vectorprovider_adapter fixture that initializes your vector adapter. Add your provider to the vector_io_providers fixture dictionary. Please follow the naming convention of your_vectorprovider_index and your_vectorprovider_adapter as the tests require this to execute properly. Integration Tests Integration tests are located in tests/integration. These tests use the python client-SDK APIs (from the llama_stack_client package) to test functionality. The two set of integration tests are: tests/integration/vector_io/test_vector_io.py: This file tests registration, insertion, and retrieval. tests/integration/vector_io/test_openai_vector_stores.py: These tests are for OpenAI-compatible vector stores and test the OpenAI API compatibility. You will need to update skip_if_provider_doesnt_support_openai_vector_stores to include your provider as well as skip_if_provider_doesnt_support_openai_vector_stores_search to test the appropriate search functionality. Running the tests in the GitHub CI You will need to update the .github/workflows/integration-vector-io-tests.yml file to include your provider. If your provider is a remote provider, you will also have to add a container to spin up and run it in the action. Updating the pyproject.yml If you are adding tests for the inline provider you will have to update the unit group. uv add new_pip_package --group unit If you are adding tests for the remote provider you will have to update the test group, which is used in the GitHub CI for integration tests. uv add new_pip_package --group test Update Documentation: Please update the documentation for end users Generate the provider documentation by running ./scripts/provider_codegen.py. Update the autogenerated content in the registry/vector_io.py file with information about your provider. Please see other providers for examples.","s":"Steps to Add a New Vector Database Provider","u":"/v0.3.0/docs/contributing/new_vector_database","h":"#steps-to-add-a-new-vector-database-provider","p":2214},{"i":2219,"t":"Understanding how Llama Stack captures and replays API interactions for testing.","s":"Record-Replay System","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"","p":2218},{"i":2221,"t":"The record-replay system solves a fundamental challenge in AI testing: how do you test against expensive, non-deterministic APIs without breaking the bank or dealing with flaky tests? The solution: intercept API calls, store real responses, and replay them later. This gives you real API behavior without the cost or variability.","s":"Overview","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#overview","p":2218},{"i":2224,"t":"Every API request gets converted to a deterministic hash for lookup: def normalize_request(method: str, url: str, headers: dict, body: dict) -> str: normalized = { \"method\": method.upper(), \"endpoint\": urlparse(url).path, # Just the path, not full URL \"body\": body, # Request parameters } return hashlib.sha256(json.dumps(normalized, sort_keys=True).encode()).hexdigest() Key insight: The hashing is intentionally precise. Different whitespace, float precision, or parameter order produces different hashes. This prevents subtle bugs from false cache hits. # These produce DIFFERENT hashes: {\"content\": \"Hello world\"} {\"content\": \"Hello world\\n\"} {\"temperature\": 0.7} {\"temperature\": 0.7000001}","s":"Request Hashing","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#request-hashing","p":2218},{"i":2226,"t":"The system patches OpenAI and Ollama client methods to intercept calls before they leave your application. This happens transparently - your test code doesn't change.","s":"Client Interception","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#client-interception","p":2218},{"i":2228,"t":"Recordings are stored as JSON files in the recording directory. They are looked up by their request hash. recordings/ └── responses/ ├── abc123def456.json # Individual response files └── def789ghi012.json JSON files store complete request/response pairs in human-readable format for debugging.","s":"Storage Architecture","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#storage-architecture","p":2218},{"i":2231,"t":"Direct API calls with no recording or replay: from llama_stack.testing.api_recorder import api_recording, APIRecordingMode with api_recording(mode=APIRecordingMode.LIVE): response = await client.chat.completions.create(...) Use for initial development and debugging against real APIs.","s":"LIVE Mode","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#live-mode","p":2218},{"i":2233,"t":"Captures API interactions while passing through real responses: with api_recording(mode=APIRecordingMode.RECORD, storage_dir=\"./recordings\"): response = await client.chat.completions.create(...) # Real API call made, response captured AND returned The recording process: Request intercepted and hashed Real API call executed Response captured and serialized Recording stored to disk Original response returned to caller","s":"RECORD Mode","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#record-mode","p":2218},{"i":2235,"t":"Returns stored responses instead of making API calls: with api_recording(mode=APIRecordingMode.REPLAY, storage_dir=\"./recordings\"): response = await client.chat.completions.create(...) # No API call made, cached response returned instantly The replay process: Request intercepted and hashed Hash looked up in SQLite index Response loaded from JSON file Response deserialized and returned Error if no recording found","s":"REPLAY Mode","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#replay-mode","p":2218},{"i":2237,"t":"Streaming APIs present a unique challenge: how do you capture an async generator?","s":"Streaming Support","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#streaming-support","p":2218},{"i":2239,"t":"# How do you record this? async for chunk in client.chat.completions.create(stream=True): process(chunk)","s":"The Problem","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#the-problem","p":2218},{"i":2241,"t":"The system captures all chunks immediately before yielding any: async def handle_streaming_record(response): # Capture complete stream first chunks = [] async for chunk in response: chunks.append(chunk) # Store complete recording storage.store_recording( request_hash, request_data, {\"body\": chunks, \"is_streaming\": True} ) # Return generator that replays captured chunks async def replay_stream(): for chunk in chunks: yield chunk return replay_stream() This ensures: Complete capture - The entire stream is saved atomically Interface preservation - The returned object behaves like the original API Deterministic replay - Same chunks in the same order every time","s":"The Solution","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#the-solution","p":2218},{"i":2243,"t":"API responses contain complex Pydantic objects that need careful serialization: def _serialize_response(response): if hasattr(response, \"model_dump\"): # Preserve type information for proper deserialization return { \"__type__\": f\"{response.__class__.__module__}.{response.__class__.__qualname__}\", \"__data__\": response.model_dump(mode=\"json\"), } return response This preserves type safety - when replayed, you get the same Pydantic objects with all their validation and methods.","s":"Serialization","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#serialization","p":2218},{"i":2246,"t":"Control recording behavior globally: export LLAMA_STACK_TEST_INFERENCE_MODE=replay # this is the default export LLAMA_STACK_TEST_RECORDING_DIR=/path/to/recordings # default is tests/integration/recordings pytest tests/integration/","s":"Environment Variables","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#environment-variables","p":2218},{"i":2248,"t":"The system integrates automatically based on environment variables, requiring no changes to test code.","s":"Pytest Integration","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#pytest-integration","p":2218},{"i":2251,"t":"# See what's recorded sqlite3 recordings/index.sqlite \"SELECT endpoint, model, timestamp FROM recordings LIMIT 10;\" # View specific response cat recordings/responses/abc123def456.json | jq '.response.body' # Find recordings by endpoint sqlite3 recordings/index.sqlite \"SELECT * FROM recordings WHERE endpoint='/v1/chat/completions';\"","s":"Inspecting Storage","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#inspecting-storage","p":2218},{"i":2253,"t":"Hash mismatches: Request parameters changed slightly between record and replay # Compare request details cat recordings/responses/abc123.json | jq '.request' Serialization errors: Response types changed between versions # Re-record with updated types rm recordings/responses/failing_hash.json LLAMA_STACK_TEST_INFERENCE_MODE=record pytest test_failing.py Missing recordings: New test or changed parameters # Record the missing interaction LLAMA_STACK_TEST_INFERENCE_MODE=record pytest test_new.py","s":"Common Issues","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#common-issues","p":2218},{"i":2256,"t":"Traditional mocking breaks down with AI APIs because: Response structures are complex and evolve frequently Streaming behavior is hard to mock correctly Edge cases in real APIs get missed Mocks become brittle maintenance burdens","s":"Why Not Mocks?","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#why-not-mocks","p":2218},{"i":2258,"t":"Loose hashing (normalizing whitespace, rounding floats) seems convenient but hides bugs. If a test changes slightly, you want to know about it rather than accidentally getting the wrong cached response.","s":"Why Precise Hashing?","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#why-precise-hashing","p":2218},{"i":2260,"t":"JSON - Human readable, diff-friendly, easy to inspect and modify SQLite - Fast indexed lookups without loading response bodies Hybrid - Best of both worlds for different use cases This system provides reliable, fast testing against real AI APIs while maintaining the ability to debug issues when they arise.","s":"Why JSON + SQLite?","u":"/v0.3.0/docs/contributing/testing/record-replay","h":"#why-json--sqlite","p":2218},{"i":2262,"t":"→ Kubernetes Deployment Guide → AWS EKS Deployment Guide","s":"Deploying Llama Stack","u":"/v0.3.0/docs/deploying","h":"","p":2261},{"i":2266,"t":"Set up an EKS cluster Create a GitHub OAuth app Set authorization callback URL to http:///api/auth/callback/","s":"Prerequisites","u":"/v0.3.0/docs/deploying/aws_eks_deployment","h":"#prerequisites","p":2263},{"i":2268,"t":"export HF_TOKEN= export GITHUB_CLIENT_ID= export GITHUB_CLIENT_SECRET= export LLAMA_STACK_UI_URL= cd docs/source/distributions/eks ./apply.sh This script will: Set up default storage class for AWS EKS Deploy Llama Stack server in Kubernetes pods and services","s":"Automated Deployment","u":"/v0.3.0/docs/deploying/aws_eks_deployment","h":"#automated-deployment","p":2263},{"i":2270,"t":"Deploy Llama Stack and vLLM servers in a Kubernetes cluster instead of running them locally. This guide covers both local development with Kind and production deployment on AWS EKS.","s":"Kubernetes Deployment Guide","u":"/v0.3.0/docs/deploying/kubernetes_deployment","h":"","p":2269},{"i":2273,"t":"Create a local Kubernetes cluster via Kind: kind create cluster --image kindest/node:v1.32.0 --name llama-stack-test Set your Hugging Face token: export HF_TOKEN=$(echo -n \"your-hf-token\" | base64)","s":"Local Kubernetes Setup","u":"/v0.3.0/docs/deploying/kubernetes_deployment","h":"#local-kubernetes-setup","p":2269},{"i":2276,"t":"cat <$tmp_dir/Containerfile.llama-stack-run-k8s < ProviderSpec: return ProviderSpec( provider_type=\"remote::custom_ollama\", module=\"llama_stack_ollama_provider\", config_class=\"llama_stack_ollama_provider.config.OllamaImplConfig\", pip_packages=[ \"ollama\", \"aiohttp\", \"llama-stack-provider-ollama\", ], ) Here's an example for a custom Ollama provider: adapter: adapter_type: custom_ollama pip_packages: - ollama - aiohttp - llama-stack-provider-ollama # This is the provider package config_class: llama_stack_ollama_provider.config.OllamaImplConfig module: llama_stack_ollama_provider api_dependencies: [] optional_api_dependencies: [] The pip_packages section lists the Python packages required by the provider, as well as the provider package itself. The package must be available on PyPI or can be provided from a local directory or a git repository (git must be installed on the build environment). For deeper guidance, see the External Providers documentation.","s":"Explore existing distributions","u":"/v0.3.0/docs/distributions/building_distro","h":"#explore-existing-distributions","p":2293},{"i":2298,"t":"After building the image, launch it directly with Docker or Podman—the entrypoint calls llama stack run using the baked distribution or the bundled run config: docker run -d \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ~/.llama:/root/.llama \\ -e INFERENCE_MODEL=$INFERENCE_MODEL \\ -e OLLAMA_URL=http://host.docker.internal:11434 \\ llama-stack:starter \\ --port $LLAMA_STACK_PORT Here are the docker flags and their uses: -d: Runs the container in the detached mode as a background process -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT: Maps the container port to the host port for accessing the server -v ~/.llama:/root/.llama: Mounts the local .llama directory to persist configurations and data localhost/distribution-ollama:dev: The name and tag of the container image to run -e INFERENCE_MODEL=$INFERENCE_MODEL: Sets the INFERENCE_MODEL environment variable in the container -e OLLAMA_URL=http://host.docker.internal:11434: Sets the OLLAMA_URL environment variable in the container --port $LLAMA_STACK_PORT: Port number for the server to listen on If you prepared a custom run config, mount it into the container and reference it explicitly: docker run \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v $(pwd)/run.yaml:/app/run.yaml \\ llama-stack:starter \\ /app/run.yaml","s":"Run your stack server","u":"/v0.3.0/docs/distributions/building_distro","h":"#run-your-stack-server","p":2293},{"i":2300,"t":"The Llama Stack runtime configuration is specified as a YAML file. Here is a simplified version of an example configuration file for the Ollama distribution: The default `run.yaml` files generated by templates are starting points for your configuration. For guidance on customizing these files for your specific needs, see [Customizing Your run.yaml Configuration](customizing_run_yaml.md). ```yaml version: 2 apis: - agents - inference - vector_io - safety - telemetry providers: inference: - provider_id: ollama provider_type: remote::ollama config: url: ${env.OLLAMA_URL:=http://localhost:11434} vector_io: - provider_id: faiss provider_type: inline::faiss config: kvstore: type: sqlite namespace: null db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/faiss_store.db safety: - provider_id: llama-guard provider_type: inline::llama-guard config: {} agents: - provider_id: meta-reference provider_type: inline::meta-reference config: persistence: agent_state: backend: kv_default namespace: agents responses: backend: sql_default table_name: responses telemetry: - provider_id: meta-reference provider_type: inline::meta-reference config: {} storage: backends: kv_default: type: kv_sqlite db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/kvstore.db sql_default: type: sql_sqlite db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/ollama}/sqlstore.db references: metadata: backend: kv_default namespace: registry inference: backend: sql_default table_name: inference_store models: - metadata: {} model_id: ${env.INFERENCE_MODEL} provider_id: ollama provider_model_id: null shields: [] server: port: 8321 auth: provider_config: type: \"oauth2_token\" jwks: uri: \"https://my-token-issuing-svc.com/jwks\" Let's break this down into the different sections. The first section specifies the set of APIs that the stack server will serve: apis: - agents - inference - vector_io - safety - telemetry","s":"Configuring a \"Stack\"","u":"/v0.3.0/docs/distributions/configuration","h":"","p":2299},{"i":2302,"t":"Next up is the most critical part: the set of providers that the stack will use to serve the above APIs. Consider the inference API: providers: inference: # provider_id is a string you can choose freely - provider_id: ollama # provider_type is a string that specifies the type of provider. # in this case, the provider for inference is ollama and it runs remotely (outside of the distribution) provider_type: remote::ollama # config is a dictionary that contains the configuration for the provider. # in this case, the configuration is the url of the ollama server config: url: ${env.OLLAMA_URL:=http://localhost:11434} A few things to note: A provider instance is identified with an (id, type, config) triplet. The id is a string you can choose freely. You can instantiate any number of provider instances of the same type. The configuration dictionary is provider-specific. Notice that configuration can reference environment variables (with default values), which are expanded at runtime. When you run a stack server, you can set environment variables in your shell before running llama stack run to override the default values.","s":"Providers","u":"/v0.3.0/docs/distributions/configuration","h":"#providers","p":2299},{"i":2304,"t":"Llama Stack supports environment variable substitution in configuration values using the ${env.VARIABLE_NAME} syntax. This allows you to externalize configuration values and provide different settings for different environments. The syntax is inspired by bash parameter expansion and follows similar patterns. Basic Syntax​ The basic syntax for environment variable substitution is: config: api_key: ${env.API_KEY} url: ${env.SERVICE_URL} If the environment variable is not set, the server will raise an error during startup. Default Values​ You can provide default values using the := operator: config: url: ${env.OLLAMA_URL:=http://localhost:11434} port: ${env.PORT:=8321} timeout: ${env.TIMEOUT:=60} If the environment variable is not set, the default value http://localhost:11434 will be used. Empty defaults are allowed so url: ${env.OLLAMA_URL:=} will be set to None if the environment variable is not set. Conditional Values​ You can use the :+ operator to provide a value only when the environment variable is set: config: # Only include this field if ENVIRONMENT is set environment: ${env.ENVIRONMENT:+production} If the environment variable is set, the value after :+ will be used. If it's not set, the field will be omitted with a None value. Do not use conditional values (${env.OLLAMA_URL:+}) for empty defaults (${env.OLLAMA_URL:=}). This will be set to None if the environment variable is not set. Conditional must only be used when the environment variable is set. Examples​ Here are some common patterns: # Required environment variable (will error if not set) api_key: ${env.OPENAI_API_KEY} # Optional with default base_url: ${env.API_BASE_URL:=https://api.openai.com/v1} # Conditional field debug_mode: ${env.DEBUG:+true} # Optional field that becomes None if not set optional_token: ${env.OPTIONAL_TOKEN:+} Runtime Override​ You can override environment variables at runtime by setting them in your shell before starting the server: # Set environment variables in your shell export API_KEY=sk-123 export BASE_URL=https://custom-api.com llama stack run --config run.yaml Type Safety​ The environment variable substitution system is type-safe: String values remain strings Empty defaults (${env.VAR:+}) are converted to None for fields that accept str | None Numeric defaults are properly typed (e.g., ${env.PORT:=8321} becomes an integer) Boolean defaults work correctly (e.g., ${env.DEBUG:=false} becomes a boolean)","s":"Environment Variable Substitution","u":"/v0.3.0/docs/distributions/configuration","h":"#environment-variable-substitution","p":2299},{"i":2306,"t":"Let's look at the models section: models: - metadata: {} model_id: ${env.INFERENCE_MODEL} provider_id: ollama provider_model_id: null model_type: llm A Model is an instance of a \"Resource\" (see Concepts) and is associated with a specific inference provider (in this case, the provider with identifier ollama). This is an instance of a \"pre-registered\" model. While we always encourage the clients to register models before using them, some Stack servers may come up a list of \"already known and available\" models. What's with the provider_model_id field? This is an identifier for the model inside the provider's model catalog. Contrast it with model_id which is the identifier for the same model for Llama Stack's purposes. For example, you may want to name \"llama3.2:vision-11b\" as \"image_captioning_model\" when you use it in your Stack interactions. When omitted, the server will set provider_model_id to be the same as model_id. If you need to conditionally register a model in the configuration, such as only when specific environment variable(s) are set, this can be accomplished by utilizing a special __disabled__ string as the default value of an environment variable substitution, as shown below: models: - metadata: {} model_id: ${env.INFERENCE_MODEL:__disabled__} provider_id: ollama provider_model_id: ${env.INFERENCE_MODEL:__disabled__} The snippet above will only register this model if the environment variable INFERENCE_MODEL is set and non-empty. If the environment variable is not set, the model will not get registered at all.","s":"Resources","u":"/v0.3.0/docs/distributions/configuration","h":"#resources","p":2299},{"i":2308,"t":"The server section configures the HTTP server that serves the Llama Stack APIs: server: port: 8321 # Port to listen on (default: 8321) tls_certfile: \"/path/to/cert.pem\" # Optional: Path to TLS certificate for HTTPS tls_keyfile: \"/path/to/key.pem\" # Optional: Path to TLS key for HTTPS cors: true # Optional: Enable CORS (dev mode) or full config object","s":"Server Configuration","u":"/v0.3.0/docs/distributions/configuration","h":"#server-configuration","p":2299},{"i":2310,"t":"CORS (Cross-Origin Resource Sharing) can be configured in two ways: Local development (allows localhost origins only): server: cors: true Explicit configuration (custom origins and settings): server: cors: allow_origins: [\"https://myapp.com\", \"https://app.example.com\"] allow_methods: [\"GET\", \"POST\", \"PUT\", \"DELETE\"] allow_headers: [\"Content-Type\", \"Authorization\"] allow_credentials: true max_age: 3600 When cors: true, the server enables secure localhost-only access for local development. For production, specify exact origins to maintain security.","s":"CORS Configuration","u":"/v0.3.0/docs/distributions/configuration","h":"#cors-configuration","p":2299},{"i":2312,"t":"Breaking Change (v0.2.14): The authentication configuration structure has changed. The previous format with provider_type and config fields has been replaced with a unified provider_config field that includes the type field. Update your configuration files accordingly. The auth section configures authentication for the server. When configured, all API requests must include a valid Bearer token in the Authorization header: Authorization: Bearer The server supports multiple authentication providers: OAuth 2.0/OpenID Connect Provider with Kubernetes​ The server can be configured to use service account tokens for authorization, validating these against the Kubernetes API server, e.g.: server: auth: provider_config: type: \"oauth2_token\" jwks: uri: \"https://kubernetes.default.svc:8443/openid/v1/jwks\" token: \"${env.TOKEN:+}\" key_recheck_period: 3600 tls_cafile: \"/path/to/ca.crt\" issuer: \"https://kubernetes.default.svc\" audience: \"https://kubernetes.default.svc\" To find your cluster's jwks uri (from which the public key(s) to verify the token signature are obtained), run: kubectl get --raw /.well-known/openid-configuration| jq -r .jwks_uri For the tls_cafile, you can use the CA certificate of the OIDC provider: kubectl config view --minify -o jsonpath='{.clusters[0].cluster.certificate-authority}' For the issuer, you can use the OIDC provider's URL: kubectl get --raw /.well-known/openid-configuration| jq .issuer The audience can be obtained from a token, e.g. run: kubectl create token default --duration=1h | cut -d. -f2 | base64 -d | jq .aud The jwks token is used to authorize access to the jwks endpoint. You can obtain a token by running: kubectl create namespace llama-stack kubectl create serviceaccount llama-stack-auth -n llama-stack kubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token export TOKEN=$(cat llama-stack-auth-token) Alternatively, you can configure the jwks endpoint to allow anonymous access. To do this, make sure the kube-apiserver runs with --anonymous-auth=true to allow unauthenticated requests and that the correct RoleBinding is created to allow the service account to access the necessary resources. If that is not the case, you can create a RoleBinding for the service account to access the necessary resources: # allow-anonymous-openid.yaml apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRole metadata: name: allow-anonymous-openid rules: - nonResourceURLs: [\"/openid/v1/jwks\"] verbs: [\"get\"] --- apiVersion: rbac.authorization.k8s.io/v1 kind: ClusterRoleBinding metadata: name: allow-anonymous-openid roleRef: apiGroup: rbac.authorization.k8s.io kind: ClusterRole name: allow-anonymous-openid subjects: - kind: User name: system:anonymous apiGroup: rbac.authorization.k8s.io And then apply the configuration: kubectl apply -f allow-anonymous-openid.yaml The provider extracts user information from the JWT token: Username from the sub claim becomes a role Kubernetes groups become teams You can easily validate a request by running: curl -s -L -H \"Authorization: Bearer $(cat llama-stack-auth-token)\" http://127.0.0.1:8321/v1/providers Kubernetes Authentication Provider​ The server can be configured to use Kubernetes SelfSubjectReview API to validate tokens directly against the Kubernetes API server: server: auth: provider_config: type: \"kubernetes\" api_server_url: \"https://kubernetes.default.svc\" claims_mapping: username: \"roles\" groups: \"roles\" uid: \"uid_attr\" verify_tls: true tls_cafile: \"/path/to/ca.crt\" Configuration options: api_server_url: The Kubernetes API server URL (e.g., https://kubernetes.default.svc:6443) verify_tls: Whether to verify TLS certificates (default: true) tls_cafile: Path to CA certificate file for TLS verification claims_mapping: Mapping of Kubernetes user claims to access attributes The provider validates tokens by sending a SelfSubjectReview request to the Kubernetes API server at /apis/authentication.k8s.io/v1/selfsubjectreviews. The provider extracts user information from the response: Username from the userInfo.username field Groups from the userInfo.groups field UID from the userInfo.uid field To obtain a token for testing: kubectl create namespace llama-stack kubectl create serviceaccount llama-stack-auth -n llama-stack kubectl create token llama-stack-auth -n llama-stack > llama-stack-auth-token You can validate a request by running: curl -s -L -H \"Authorization: Bearer $(cat llama-stack-auth-token)\" http://127.0.0.1:8321/v1/providers GitHub Token Provider​ Validates GitHub personal access tokens or OAuth tokens directly: server: auth: provider_config: type: \"github_token\" github_api_base_url: \"https://api.github.com\" # Or GitHub Enterprise URL The provider fetches user information from GitHub and maps it to access attributes based on the claims_mapping configuration. Custom Provider​ Validates tokens against a custom authentication endpoint: server: auth: provider_config: type: \"custom\" endpoint: \"https://auth.example.com/validate\" # URL of the auth endpoint The custom endpoint receives a POST request with: { \"api_key\": \"\", \"request\": { \"path\": \"/api/v1/endpoint\", \"headers\": { \"content-type\": \"application/json\", \"user-agent\": \"curl/7.64.1\" }, \"params\": { \"key\": [\"value\"] } } } And must respond with: { \"access_attributes\": { \"roles\": [\"admin\", \"user\"], \"teams\": [\"ml-team\", \"nlp-team\"], \"projects\": [\"llama-3\", \"project-x\"], \"namespaces\": [\"research\"] }, \"message\": \"Authentication successful\" } If no access attributes are returned, the token is used as a namespace.","s":"Authentication Configuration","u":"/v0.3.0/docs/distributions/configuration","h":"#authentication-configuration","p":2299},{"i":2314,"t":"When authentication is enabled, access to resources is controlled through the access_policy attribute of the auth config section under server. The value for this is a list of access rules. Each access rule defines a list of actions either to permit or to forbid. It may specify a principal or a resource that must match for the rule to take effect. Valid actions are create, read, update, and delete. The resource to match should be specified in the form of a type qualified identifier, e.g. model::my-model or vector_db::some-db, or a wildcard for all resources of a type, e.g. model::*. If the principal or resource are not specified, they will match all requests. The valid resource types are model, shield, vector_db, dataset, scoring_function, benchmark, tool, tool_group and session. A rule may also specify a condition, either a 'when' or an 'unless', with additional constraints as to where the rule applies. The constraints supported at present are: 'user with in ' 'user with not in ' 'user is owner' 'user is not owner' 'user in owners ' 'user not in owners ' The attributes defined for a user will depend on how the auth configuration is defined. When checking whether a particular action is allowed by the current user for a resource, all the defined rules are tested in order to find a match. If a match is found, the request is permitted or forbidden depending on the type of rule. If no match is found, the request is denied. If no explicit rules are specified, a default policy is defined with which all users can access all resources defined in config but resources created dynamically can only be accessed by the user that created them. Examples: The following restricts access to particular github users: server: auth: provider_config: type: \"github_token\" github_api_base_url: \"https://api.github.com\" access_policy: - permit: principal: user-1 actions: [create, read, delete] description: user-1 has full access to all resources - permit: principal: user-2 actions: [read] resource: model::model-1 description: user-2 has read access to model-1 only Similarly, the following restricts access to particular kubernetes service accounts: server: auth: provider_config: type: \"oauth2_token\" audience: https://kubernetes.default.svc.cluster.local issuer: https://kubernetes.default.svc.cluster.local tls_cafile: /home/gsim/.minikube/ca.crt jwks: uri: https://kubernetes.default.svc.cluster.local:8443/openid/v1/jwks token: ${env.TOKEN} access_policy: - permit: principal: system:serviceaccount:my-namespace:my-serviceaccount actions: [create, read, delete] description: specific serviceaccount has full access to all resources - permit: principal: system:serviceaccount:default:default actions: [read] resource: model::model-1 description: default account has read access to model-1 only The following policy, which assumes that users are defined with roles and teams by whichever authentication system is in use, allows any user with a valid token to use models, create resources other than models, read and delete resources they created and read resources created by users sharing a team with them: access_policy: - permit: actions: [read] resource: model::* description: all users have read access to models - forbid: actions: [create, delete] resource: model::* unless: user with admin in roles description: only user with admin role can create or delete models - permit: actions: [create, read, delete] when: user is owner description: users can create resources other than models and read and delete those they own - permit: actions: [read] when: user in owner teams description: any user has read access to any resource created by a user with the same team API Endpoint Authorization with Scopes​ In addition to resource-based access control, Llama Stack supports endpoint-level authorization using OAuth 2.0 style scopes. When authentication is enabled, specific API endpoints require users to have particular scopes in their authentication token. Scope-Gated APIs: The following APIs are currently gated by scopes: Telemetry API (scope: telemetry.read): POST /telemetry/traces - Query traces GET /telemetry/traces/{trace_id} - Get trace by ID GET /telemetry/traces/{trace_id}/spans/{span_id} - Get span by ID POST /telemetry/spans/{span_id}/tree - Get span tree POST /telemetry/spans - Query spans POST /telemetry/metrics/{metric_name} - Query metrics Authentication Configuration: For JWT/OAuth2 providers, scopes should be included in the JWT's claims: { \"sub\": \"user123\", \"scope\": \"telemetry.read\", \"aud\": \"llama-stack\" } For custom authentication providers, the endpoint must return user attributes including the scopes array: { \"principal\": \"user123\", \"attributes\": { \"scopes\": [\"telemetry.read\"] } } Behavior: Users without the required scope receive a 403 Forbidden response When authentication is disabled, scope checks are bypassed Endpoints without required_scope work normally for all authenticated users","s":"Access control","u":"/v0.3.0/docs/distributions/configuration","h":"#access-control","p":2299},{"i":2316,"t":"The quota section allows you to enable server-side request throttling for both authenticated and anonymous clients. This is useful for preventing abuse, enforcing fairness across tenants, and controlling infrastructure costs without requiring client-side rate limiting or external proxies. Quotas are disabled by default. When enabled, each client is tracked using either: Their authenticated client_id (derived from the Bearer token), or Their IP address (fallback for anonymous requests) Quota state is stored in a SQLite-backed key-value store, and rate limits are applied within a configurable time window (currently only day is supported). Example​ server: quota: kvstore: type: sqlite db_path: ./quotas.db anonymous_max_requests: 100 authenticated_max_requests: 1000 period: day Configuration Options​ Field Description kvstore Required. Backend storage config for tracking request counts. kvstore.type Must be \"sqlite\" for now. Other backends may be supported in the future. kvstore.db_path File path to the SQLite database. anonymous_max_requests Max requests per period for unauthenticated clients. authenticated_max_requests Max requests per period for authenticated clients. period Time window for quota enforcement. Only \"day\" is supported. Note: if authenticated_max_requests is set but no authentication provider is configured, the server will fall back to applying anonymous_max_requests to all clients. Example with Authentication Enabled​ server: port: 8321 auth: provider_config: type: custom endpoint: https://auth.example.com/validate quota: kvstore: type: sqlite db_path: ./quotas.db anonymous_max_requests: 100 authenticated_max_requests: 1000 period: day If a client exceeds their limit, the server responds with: HTTP/1.1 429 Too Many Requests Content-Type: application/json { \"error\": { \"message\": \"Quota exceeded\" } }","s":"Quota Configuration","u":"/v0.3.0/docs/distributions/configuration","h":"#quota-configuration","p":2299},{"i":2318,"t":"Configure CORS to allow web browsers to make requests from different domains. Disabled by default. Quick Setup​ For development, use the simple boolean flag: server: cors: true # Auto-enables localhost with any port This automatically allows http://localhost:* and https://localhost:* with secure defaults. Custom Configuration​ For specific origins and full control: server: cors: allow_origins: [\"https://myapp.com\", \"https://staging.myapp.com\"] allow_credentials: true allow_methods: [\"GET\", \"POST\", \"PUT\", \"DELETE\"] allow_headers: [\"Content-Type\", \"Authorization\"] allow_origin_regex: \"https://.*\\\\.example\\\\.com\" # Optional regex pattern expose_headers: [\"X-Total-Count\"] max_age: 86400 Configuration Options​ Field Description Default allow_origins List of allowed origins. Use [\"*\"] for any. [\"*\"] allow_origin_regex Regex pattern for allowed origins (optional). None allow_methods Allowed HTTP methods. [\"*\"] allow_headers Allowed headers. [\"*\"] allow_credentials Allow credentials (cookies, auth headers). false expose_headers Headers exposed to browser. [] max_age Preflight cache time (seconds). 600 Security Notes: allow_credentials: true requires explicit origins (no wildcards) cors: true enables localhost access only (secure for development) For public APIs, always specify exact allowed origins","s":"CORS Configuration","u":"/v0.3.0/docs/distributions/configuration","h":"#cors-configuration-1","p":2299},{"i":2320,"t":"Configuring Safety can be a little involved so it is instructive to go through an example. The Safety API works with the associated Resource called a Shield. Providers can support various kinds of Shields. Good examples include the Llama Guard system-safety models, or Bedrock Guardrails. To configure a Bedrock Shield, you would need to add: A Safety API provider instance with type remote::bedrock A Shield resource served by this provider. ... providers: safety: - provider_id: bedrock provider_type: remote::bedrock config: aws_access_key_id: ${env.AWS_ACCESS_KEY_ID} aws_secret_access_key: ${env.AWS_SECRET_ACCESS_KEY} ... shields: - provider_id: bedrock params: guardrailVersion: ${env.GUARDRAIL_VERSION} provider_shield_id: ${env.GUARDRAIL_ID} ... The situation is more involved if the Shield needs Inference of an associated model. This is the case with Llama Guard. In that case, you would need to add: A Safety API provider instance with type inline::llama-guard An Inference API provider instance for serving the model. A Model resource associated with this provider. A Shield resource served by the Safety provider. The yaml configuration for this setup, assuming you were using vLLM as your inference server, would look like: ... providers: safety: - provider_id: llama-guard provider_type: inline::llama-guard config: {} inference: # this vLLM server serves the \"normal\" inference model (e.g., llama3.2:3b) - provider_id: vllm-0 provider_type: remote::vllm config: url: ${env.VLLM_URL:=http://localhost:8000} # this vLLM server serves the llama-guard model (e.g., llama-guard:3b) - provider_id: vllm-1 provider_type: remote::vllm config: url: ${env.SAFETY_VLLM_URL:=http://localhost:8001} ... models: - metadata: {} model_id: ${env.INFERENCE_MODEL} provider_id: vllm-0 provider_model_id: null - metadata: {} model_id: ${env.SAFETY_MODEL} provider_id: vllm-1 provider_model_id: null shields: - provider_id: llama-guard shield_id: ${env.SAFETY_MODEL} # Llama Guard shields are identified by the corresponding LlamaGuard model provider_shield_id: null ...","s":"Extending to handle Safety","u":"/v0.3.0/docs/distributions/configuration","h":"#extending-to-handle-safety","p":2299},{"i":2322,"t":"The run.yaml files generated by Llama Stack templates are starting points designed to be customized for your specific needs. They are not meant to be used as-is in production environments.","s":"Customizing run.yaml Files","u":"/v0.3.0/docs/distributions/customizing_run_yaml","h":"","p":2321},{"i":2324,"t":"Templates are starting points: Generated run.yaml files contain defaults for development/testing Customization expected: Update URLs, credentials, models, and settings for your environment Version control separately: Keep customized configs in your own repository Environment-specific: Create different configurations for dev, staging, production","s":"Key Points","u":"/v0.3.0/docs/distributions/customizing_run_yaml","h":"#key-points","p":2321},{"i":2326,"t":"You can customize: Provider endpoints: Change http://localhost:8000 to your actual servers Swap providers: Replace default providers (e.g., swap Tavily with Brave for search) Storage paths: Move from /tmp/ to production directories Authentication: Add API keys, SSL, timeouts Models: Different model sizes for dev vs prod Database settings: Switch from SQLite to PostgreSQL Tool configurations: Add custom tools and integrations","s":"What You Can Customize","u":"/v0.3.0/docs/distributions/customizing_run_yaml","h":"#what-you-can-customize","p":2321},{"i":2328,"t":"Use environment variables for secrets and environment-specific values Create separate run.yaml files for different environments (dev, staging, prod) Document your changes with comments Test configurations before deployment Keep your customized configs in version control Example structure: your-project/ ├── configs/ │ ├── dev-run.yaml │ ├── prod-run.yaml └── README.md The goal is to take the generated template and adapt it to your specific infrastructure and operational needs.","s":"Best Practices","u":"/v0.3.0/docs/distributions/customizing_run_yaml","h":"#best-practices","p":2321},{"i":2331,"t":"If you are planning to use an external service for Inference (even Ollama or TGI counts as external), it is often easier to use Llama Stack as a library. This avoids the overhead of setting up a server. # setup uv pip install llama-stack llama stack list-deps starter | xargs -L1 uv pip install from llama_stack.core.library_client import LlamaStackAsLibraryClient client = LlamaStackAsLibraryClient( \"starter\", # provider_data is optional, but if you need to pass in any provider specific data, you can do so here. provider_data={\"tavily_search_api_key\": os.environ[\"TAVILY_SEARCH_API_KEY\"]}, ) This will parse your config and set up any inline implementations and remote clients needed for your implementation. Then, you can access the APIs like models and inference on the client and call their methods directly: response = client.models.list() If you've created a custom distribution, you can also use the run.yaml configuration file directly: client = LlamaStackAsLibraryClient(config_path)","s":"Setup Llama Stack without a Server","u":"/v0.3.0/docs/distributions/importing_as_library","h":"#setup-llama-stack-without-a-server","p":2329},{"i":2333,"t":"Llama Stack provides several pre-configured distributions to help you get started quickly. Choose the distribution that best fits your hardware and use case.","s":"Available Distributions","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"","p":2332},{"i":2335,"t":"Distribution Use Case Hardware Requirements Provider distribution-starter General purpose, prototyping Any (CPU/GPU) Ollama, Remote APIs distribution-meta-reference-gpu High-performance inference GPU required Local GPU inference Remote-hosted Production, managed service None Partner providers iOS/Android SDK Mobile applications Mobile device On-device inference","s":"Quick Reference","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#quick-reference","p":2332},{"i":2338,"t":"Use distribution-starter if you want to: Prototype quickly without GPU requirements Use remote inference providers (Fireworks, Together, vLLM etc.) Run locally with Ollama for development docker pull llama-stack/distribution-starter Guides: Starter Distribution Guide","s":"🚀 Getting Started (Recommended for Beginners)","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#-getting-started-recommended-for-beginners","p":2332},{"i":2340,"t":"Use distribution-meta-reference-gpu if you: Have access to GPU hardware Want maximum performance and control Need to run inference locally docker pull llama-stack/distribution-meta-reference-gpu Guides: Meta Reference GPU Guide","s":"🖥️ Self-Hosted with GPU","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#️-self-hosted-with-gpu","p":2332},{"i":2342,"t":"Use nvidia if you: Want to use Llama Stack with NVIDIA NeMo Microservices Guides: NVIDIA Distribution Guide","s":"🖥️ Self-Hosted with NVIDA NeMo Microservices","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#️-self-hosted-with-nvida-nemo-microservices","p":2332},{"i":2344,"t":"Use remote-hosted endpoints if you: Don't want to manage infrastructure Need production-ready reliability Prefer managed services Partners: Fireworks.ai and Together.xyz Guides: Remote-Hosted Endpoints","s":"☁️ Managed Hosting","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#️-managed-hosting","p":2332},{"i":2346,"t":"Use mobile SDKs if you: Are building iOS or Android applications Need on-device inference capabilities Want offline functionality iOS SDK Android SDK","s":"📱 Mobile Development","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#-mobile-development","p":2332},{"i":2348,"t":"Build your own distribution if: None of the above fit your specific needs You need custom configurations You want to optimize for your specific use case Guides: Building Custom Distributions","s":"🔧 Custom Solutions","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#-custom-solutions","p":2332},{"i":2351,"t":":maxdepth: 1 self_hosted_distro/starter self_hosted_distro/meta-reference-gpu","s":"Self-Hosted Distributions","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#self-hosted-distributions","p":2332},{"i":2353,"t":":maxdepth: 1 remote_hosted_distro/index","s":"Remote-Hosted Solutions","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#remote-hosted-solutions","p":2332},{"i":2355,"t":":maxdepth: 1 ondevice_distro/ios_sdk ondevice_distro/android_sdk","s":"Mobile SDKs","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#mobile-sdks","p":2332},{"i":2357,"t":"graph TD A[What's your use case?] --> B{Need mobile app?} B -->|Yes| C[Use Mobile SDKs] B -->|No| D{Have GPU hardware?} D -->|Yes| E[Use Meta Reference GPU] D -->|No| F{Want managed hosting?} F -->|Yes| G[Use Remote-Hosted] F -->|No| H[Use Starter Distribution]","s":"Decision Flow","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#decision-flow","p":2332},{"i":2359,"t":"Choose your distribution from the options above Follow the setup guide for your selected distribution Configure your providers with API keys or local models Start building with Llama Stack! For help choosing or troubleshooting, check our Getting Started Guide or Community Support.","s":"Next Steps","u":"/v0.3.0/docs/distributions/list_of_distributions","h":"#next-steps","p":2332},{"i":2361,"t":"We are excited to share a guide for a Kotlin Library that brings front the benefits of Llama Stack to your Android device. This library is a set of SDKs that provide a simple and effective way to integrate AI capabilities into your Android app whether it is local (on-device) or remote inference. Features: Local Inferencing: Run Llama models purely on-device with real-time processing. We currently utilize ExecuTorch as the local inference distributor and may support others in the future. ExecuTorch is a complete end-to-end solution within the PyTorch framework for inferencing capabilities on-device with high portability and seamless performance. Remote Inferencing: Perform inferencing tasks remotely with Llama models hosted on a remote connection (or serverless localhost). Simple Integration: With easy-to-use APIs, a developer can quickly integrate Llama Stack in their Android app. The difference with local vs remote inferencing is also minimal. Latest Release Notes: link Tagged releases are stable versions of the project. While we strive to maintain a stable main branch, it's not guaranteed to be free of bugs or issues.","s":"Llama Stack Client Kotlin API Library","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"","p":2360},{"i":2363,"t":"Check out our demo app to see how to integrate Llama Stack into your Android app: Android Demo App The key files in the app are ExampleLlamaStackLocalInference.kt, ExampleLlamaStackRemoteInference.kts, and MainActivity.java. With encompassed business logic, the app shows how to use Llama Stack for both the environments.","s":"Android Demo App","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#android-demo-app","p":2360},{"i":2366,"t":"Kotlin Library​ Add the following dependency in your build.gradle.kts file: dependencies { implementation(\"com.llama.llamastack:llama-stack-client-kotlin:0.2.2\") } This will download jar files in your gradle cache in a directory like ~/.gradle/caches/modules-2/files-2.1/com.llama.llamastack/ If you plan on doing remote inferencing this is sufficient to get started. Dependency for Local​ For local inferencing, it is required to include the ExecuTorch library into your app. Include the ExecuTorch library by: Download the download-prebuilt-et-lib.sh script file from the llama-stack-client-kotlin-client-local directory to your local machine. Move the script to the top level of your Android app where the app directory resides. Run sh download-prebuilt-et-lib.sh to create an app/libs directory and download the executorch.aar in that path. This generates an ExecuTorch library for the XNNPACK delegate. Add the executorch.aar dependency in your build.gradle.kts file: dependencies { ... implementation(files(\"libs/executorch.aar\")) ... } See other dependencies for the local RAG in Android app README.","s":"Add Dependencies","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#add-dependencies","p":2360},{"i":2368,"t":"Breaking down the demo app, this section will show the core pieces that are used to initialize and run inference with Llama Stack using the Kotlin library.","s":"Llama Stack APIs in Your Android App","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#llama-stack-apis-in-your-android-app","p":2360},{"i":2370,"t":"Start a Llama Stack server on localhost. Here is an example of how you can do this using the firework.ai distribution: uv venv starter --python 3.12 source starter/bin/activate # On Windows: starter\\Scripts\\activate pip install --no-cache llama-stack==0.2.2 llama stack list-deps starter | xargs -L1 uv pip install export FIREWORKS_API_KEY= llama stack run starter --port 5050 Ensure the Llama Stack server version is the same as the Kotlin SDK Library for maximum compatibility. Other inference providers: Table How to set remote localhost in Demo App: Settings","s":"Setup Remote Inferencing","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#setup-remote-inferencing","p":2360},{"i":2372,"t":"A client serves as the primary interface for interacting with a specific inference type and its associated parameters. Only after client is initialized then you can configure and start inferences. Local Inference Remote Inference client = LlamaStackClientLocalClient .builder() .modelPath(modelPath) .tokenizerPath(tokenizerPath) .temperature(temperature) .build() // remoteURL is a string like \"http://localhost:5050\" client = LlamaStackClientOkHttpClient .builder() .baseUrl(remoteURL) .build()","s":"Initialize the Client","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#initialize-the-client","p":2360},{"i":2374,"t":"With the Kotlin Library managing all the major operational logic, there are minimal to no changes when running simple chat inference for local or remote: val result = client!!.inference().chatCompletion( InferenceChatCompletionParams.builder() .modelId(modelName) .messages(listOfMessages) .build() ) // response contains string with response from model var response = result.asChatCompletionResponse().completionMessage().content().string(); [Remote only] For inference with a streaming response: val result = client!!.inference().chatCompletionStreaming( InferenceChatCompletionParams.builder() .modelId(modelName) .messages(listOfMessages) .build() ) // Response can be received as a asChatCompletionResponseStreamChunk as part of a callback. // See Android demo app for a detailed implementation example.","s":"Run Inference","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#run-inference","p":2360},{"i":2376,"t":"Android demo app for more details: Custom Tool Calling","s":"Setup Custom Tool Calling","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#setup-custom-tool-calling","p":2360},{"i":2378,"t":"The purpose of this section is to share more details with users that would like to dive deeper into the Llama Stack Kotlin Library. Whether you’re interested in contributing to the open source library, debugging or just want to learn more, this section is for you!","s":"Advanced Users","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#advanced-users","p":2360},{"i":2380,"t":"You must complete the following steps: Clone the repo (git clone https://github.com/meta-llama/llama-stack-client-kotlin.git -b latest-release) Port the appropriate ExecuTorch libraries over into your Llama Stack Kotlin library environment. cd llama-stack-client-kotlin-client-local sh download-prebuilt-et-lib.sh --unzip Now you will notice that the jni/ , libs/, and AndroidManifest.xml files from the executorch.aar file are present in the local module. This way the local client module will be able to realize the ExecuTorch SDK.","s":"Prerequisite","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#prerequisite","p":2360},{"i":2382,"t":"If you’d like to contribute to the Kotlin library via development, debug, or add play around with the library with various print statements, run the following command in your terminal under the llama-stack-client-kotlin directory. sh build-libs.sh Output: .jar files located in the build-jars directory Copy the .jar files over to the lib directory in your Android app. At the same time make sure to remove the llama-stack-client-kotlin dependency within your build.gradle.kts file in your app (or if you are using the demo app) to avoid having multiple llama stack client dependencies.","s":"Building for Development/Debugging","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#building-for-developmentdebugging","p":2360},{"i":2384,"t":"Currently we provide additional properties support with local inferencing. In order to get the tokens/sec metric for each inference call, add the following code in your Android app after you run your chatCompletion inference function. The Reference app has this implementation as well: var tps = (result.asChatCompletionResponse()._additionalProperties()[\"tps\"] as JsonNumber).value as Float We will be adding more properties in the future.","s":"Additional Options for Local Inferencing","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#additional-options-for-local-inferencing","p":2360},{"i":2386,"t":"Network options​ Retries​ Requests that experience certain errors are automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default. You can provide a maxRetries on the client builder to configure this: val client = LlamaStackClientOkHttpClient.builder() .fromEnv() .maxRetries(4) .build() Timeouts​ Requests time out after 1 minute by default. You can configure this on the client builder: val client = LlamaStackClientOkHttpClient.builder() .fromEnv() .timeout(Duration.ofSeconds(30)) .build() Proxies​ Requests can be routed through a proxy. You can configure this on the client builder: val client = LlamaStackClientOkHttpClient.builder() .fromEnv() .proxy(new Proxy( Type.HTTP, new InetSocketAddress(\"proxy.com\", 8080) )) .build() Environments​ Requests are made to the production environment by default. You can connect to other environments, like sandbox, via the client builder: val client = LlamaStackClientOkHttpClient.builder() .fromEnv() .sandbox() .build()","s":"Additional Options for Remote Inferencing","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#additional-options-for-remote-inferencing","p":2360},{"i":2388,"t":"This library throws exceptions in a single hierarchy for easy handling: LlamaStackClientException - Base exception for all exceptions LlamaStackClientServiceException - HTTP errors with a well-formed response body we were able to parse. The exception message and the .debuggingRequestId() will be set by the server. 400 BadRequestException 401 AuthenticationException 403 PermissionDeniedException 404 NotFoundException 422 UnprocessableEntityException 429 RateLimitException 5xx InternalServerException others UnexpectedStatusCodeException LlamaStackClientIoException - I/O networking errors LlamaStackClientInvalidDataException - any other exceptions on the client side, e.g.: We failed to serialize the request body We failed to parse the response body (has access to response code and body)","s":"Error Handling","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#error-handling","p":2360},{"i":2390,"t":"If you encountered any bugs or issues following this guide please file a bug/issue on our Github issue tracker.","s":"Reporting Issues","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#reporting-issues","p":2360},{"i":2392,"t":"We're aware of the following issues and are working to resolve them: Streaming response is a work-in-progress for local and remote inference Due to #1, agents are not supported at the time. LS agents only work in streaming mode Changing to another model is a work in progress for local and remote platforms","s":"Known Issues","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#known-issues","p":2360},{"i":2394,"t":"We'd like to extend our thanks to the ExecuTorch team for providing their support as we integrated ExecuTorch as one of the local inference distributors for Llama Stack. Checkout ExecuTorch Github repo for more information. The API interface is generated using the OpenAPI standard with Stainless.","s":"Thanks","u":"/v0.3.0/docs/distributions/ondevice_distro/android_sdk","h":"#thanks","p":2360},{"i":2396,"t":"We offer both remote and on-device use of Llama Stack in Swift via a single SDK llama-stack-client-swift that contains two components: LlamaStackClient for remote Local Inference for on-device :alt: Seamlessly switching between local, on-device inference and remote hosted inference :width: 412px :align: center","s":"iOS SDK","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"","p":2395},{"i":2398,"t":"If you don't want to run inference on-device, then you can connect to any hosted Llama Stack distribution with #1. Add https://github.com/meta-llama/llama-stack-client-swift/ as a Package Dependency in Xcode Add LlamaStackClient as a framework to your app target Call an API: import LlamaStackClient let agents = RemoteAgents(url: URL(string: \"http://localhost:8321\")!) let request = Components.Schemas.CreateAgentTurnRequest( agent_id: agentId, messages: [ .UserMessage(Components.Schemas.UserMessage( content: .case1(\"Hello Llama!\"), role: .user )) ], session_id: self.agenticSystemSessionId, stream: true ) for try await chunk in try await agents.createTurn(request: request) { let payload = chunk.event.payload // ... Check out iOSCalendarAssistant for a complete app demo.","s":"Remote Only","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#remote-only","p":2395},{"i":2400,"t":"LocalInference provides a local inference implementation powered by executorch. Llama Stack currently supports on-device inference for iOS with Android coming soon. You can run on-device inference on Android today using executorch, PyTorch’s on-device inference library. The APIs work the same as remote – the only difference is you'll instead use the LocalAgents / LocalInference classes and pass in a DispatchQueue: private let runnerQueue = DispatchQueue(label: \"org.llamastack.stacksummary\") let inference = LocalInference(queue: runnerQueue) let agents = LocalAgents(inference: self.inference) Check out iOSCalendarAssistantWithLocalInf for a complete app demo.","s":"LocalInference","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#localinference","p":2395},{"i":2402,"t":"We're working on making LocalInference easier to set up. For now, you'll need to import it via .xcframework: Clone the executorch submodule in this repo and its dependencies: git submodule update --init --recursive Install Cmake for the executorch build` Drag LocalInference.xcodeproj into your project Add LocalInference as a framework in your app target","s":"Installation","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#installation","p":2395},{"i":2404,"t":"Prepare a .pte file following the executorch docs Bundle the .pte and tokenizer.model file into your app We now support models quantized using SpinQuant and QAT-LoRA which offer a significant performance boost (demo app on iPhone 13 Pro): Llama 3.2 1B Tokens / Second (total) Time-to-First-Token (sec) Haiku Paragraph Haiku Paragraph BF16 2.2 2.5 2.3 1.9 QAT+LoRA 7.1 3.3 0.37 0.24 SpinQuant 10.1 5.2 0.2 0.2","s":"Preparing a model","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#preparing-a-model","p":2395},{"i":2406,"t":"Instantiate LocalInference with a DispatchQueue. Optionally, pass it into your agents service: init () { runnerQueue = DispatchQueue(label: \"org.meta.llamastack\") inferenceService = LocalInferenceService(queue: runnerQueue) agentsService = LocalAgentsService(inference: inferenceService) } Before making any inference calls, load your model from your bundle: let mainBundle = Bundle.main inferenceService.loadModel( modelPath: mainBundle.url(forResource: \"llama32_1b_spinquant\", withExtension: \"pte\"), tokenizerPath: mainBundle.url(forResource: \"tokenizer\", withExtension: \"model\"), completion: {_ in } // use to handle load failures ) Make inference calls (or agents calls) as you normally would with LlamaStack: for await chunk in try await agentsService.initAndCreateTurn( messages: [ .UserMessage(Components.Schemas.UserMessage( content: .case1(\"Call functions as needed to handle any actions in the following text:\\n\\n\" + text), role: .user)) ] ) {","s":"Using LocalInference","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#using-localinference","p":2395},{"i":2408,"t":"If you receive errors like \"missing package product\" or \"invalid checksum\", try cleaning the build folder and resetting the Swift package cache: (Opt+Click) Product > Clean Build Folder Immediately rm -rf \\ ~/Library/org.swift.swiftpm \\ ~/Library/Caches/org.swift.swiftpm \\ ~/Library/Caches/com.apple.dt.Xcode \\ ~/Library/Developer/Xcode/DerivedData","s":"Troubleshooting","u":"/v0.3.0/docs/distributions/ondevice_distro/ios_sdk","h":"#troubleshooting","p":2395},{"i":2410,"t":"Remote-Hosted distributions are available endpoints serving Llama Stack API that you can directly connect to. Distribution Endpoint Inference Agents Memory Safety Telemetry Together https://llama-stack.together.ai remote::together meta-reference remote::weaviate meta-reference meta-reference Fireworks https://llamastack-preview.fireworks.ai remote::fireworks meta-reference remote::weaviate meta-reference meta-reference","s":"Remote-Hosted Distributions","u":"/v0.3.0/docs/distributions/remote_hosted_distro","h":"","p":2409},{"i":2412,"t":"You can use llama-stack-client to interact with these endpoints. For example, to list the available models served by the Fireworks endpoint: $ pip install llama-stack-client $ llama-stack-client configure --endpoint https://llamastack-preview.fireworks.ai $ llama-stack-client models list Checkout the llama-stack-client-python repo for more details on how to use the llama-stack-client CLI. Checkout llama-stack-app for examples applications built on top of Llama Stack.","s":"Connecting to Remote-Hosted Distributions","u":"/v0.3.0/docs/distributions/remote_hosted_distro","h":"#connecting-to-remote-hosted-distributions","p":2409},{"i":2414,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-watsonx distribution consists of the following provider configurations. API Provider(s) agents inline::meta-reference datasetio remote::huggingface, inline::localfs eval inline::meta-reference inference remote::watsonx, inline::sentence-transformers safety inline::llama-guard scoring inline::basic, inline::llm-as-judge, inline::braintrust telemetry inline::meta-reference tool_runtime remote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol vector_io inline::faiss","s":"watsonx Distribution","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"","p":2413},{"i":2416,"t":"The following environment variables can be configured: LLAMASTACK_PORT: Port for the Llama Stack distribution server (default: 5001) WATSONX_API_KEY: watsonx API Key (default: ``) WATSONX_PROJECT_ID: watsonx Project ID (default: ``)","s":"Environment Variables","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"#environment-variables","p":2413},{"i":2418,"t":"The following models are available by default: meta-llama/llama-3-3-70b-instruct (aliases: meta-llama/Llama-3.3-70B-Instruct) meta-llama/llama-2-13b-chat (aliases: meta-llama/Llama-2-13b) meta-llama/llama-3-1-70b-instruct (aliases: meta-llama/Llama-3.1-70B-Instruct) meta-llama/llama-3-1-8b-instruct (aliases: meta-llama/Llama-3.1-8B-Instruct) meta-llama/llama-3-2-11b-vision-instruct (aliases: meta-llama/Llama-3.2-11B-Vision-Instruct) meta-llama/llama-3-2-1b-instruct (aliases: meta-llama/Llama-3.2-1B-Instruct) meta-llama/llama-3-2-3b-instruct (aliases: meta-llama/Llama-3.2-3B-Instruct) meta-llama/llama-3-2-90b-vision-instruct (aliases: meta-llama/Llama-3.2-90B-Vision-Instruct) meta-llama/llama-guard-3-11b-vision (aliases: meta-llama/Llama-Guard-3-11B-Vision)","s":"Models","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"#models","p":2413},{"i":2420,"t":"Make sure you have access to a watsonx API Key. You can get one by referring watsonx.ai.","s":"Prerequisite: API Keys","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"#prerequisite-api-keys","p":2413},{"i":2422,"t":"You can do this via venv or Docker which has a pre-built image.","s":"Running Llama Stack with watsonx","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"#running-llama-stack-with-watsonx","p":2413},{"i":2424,"t":"This method allows you to get started quickly without having to build the distribution code. LLAMA_STACK_PORT=5001 docker run \\ -it \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ./run.yaml:/root/my-run.yaml \\ -e WATSONX_API_KEY=$WATSONX_API_KEY \\ -e WATSONX_PROJECT_ID=$WATSONX_PROJECT_ID \\ -e WATSONX_BASE_URL=$WATSONX_BASE_URL \\ llamastack/distribution-watsonx \\ --config /root/my-run.yaml \\ --port $LLAMA_STACK_PORT","s":"Via Docker","u":"/v0.3.0/docs/distributions/remote_hosted_distro/watsonx","h":"#via-docker","p":2413},{"i":2426,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-dell distribution consists of the following provider configurations. API Provider(s) agents inline::meta-reference datasetio remote::huggingface, inline::localfs eval inline::meta-reference inference remote::tgi, inline::sentence-transformers safety inline::llama-guard scoring inline::basic, inline::llm-as-judge, inline::braintrust telemetry inline::meta-reference tool_runtime remote::brave-search, remote::tavily-search, inline::rag-runtime vector_io inline::faiss, remote::chromadb, remote::pgvector You can use this distribution if you have GPUs and want to run an independent TGI or Dell Enterprise Hub container for running inference.","s":"Dell Distribution of Llama Stack","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"","p":2425},{"i":2428,"t":"The following environment variables can be configured: DEH_URL: URL for the Dell inference server (default: http://0.0.0.0:8181) DEH_SAFETY_URL: URL for the Dell safety inference server (default: http://0.0.0.0:8282) CHROMA_URL: URL for the Chroma server (default: http://localhost:6601) INFERENCE_MODEL: Inference model loaded into the TGI server (default: meta-llama/Llama-3.2-3B-Instruct) SAFETY_MODEL: Name of the safety (Llama-Guard) model to use (default: meta-llama/Llama-Guard-3-1B)","s":"Environment Variables","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#environment-variables","p":2425},{"i":2430,"t":"NOTE: This is a placeholder to run inference with TGI. This will be updated to use Dell Enterprise Hub's containers once verified. export INFERENCE_PORT=8181 export DEH_URL=http://0.0.0.0:$INFERENCE_PORT export INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct export CHROMADB_HOST=localhost export CHROMADB_PORT=6601 export CHROMA_URL=http://$CHROMADB_HOST:$CHROMADB_PORT export CUDA_VISIBLE_DEVICES=0 export LLAMA_STACK_PORT=8321 docker run --rm -it \\ --pull always \\ --network host \\ -v $HOME/.cache/huggingface:/data \\ -e HF_TOKEN=$HF_TOKEN \\ -p $INFERENCE_PORT:$INFERENCE_PORT \\ --gpus $CUDA_VISIBLE_DEVICES \\ ghcr.io/huggingface/text-generation-inference \\ --dtype bfloat16 \\ --usage-stats off \\ --sharded false \\ --cuda-memory-fraction 0.7 \\ --model-id $INFERENCE_MODEL \\ --port $INFERENCE_PORT --hostname 0.0.0.0 If you are using Llama Stack Safety / Shield APIs, then you will need to also run another instance of a TGI with a corresponding safety model like meta-llama/Llama-Guard-3-1B using a script like: export SAFETY_INFERENCE_PORT=8282 export DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT export SAFETY_MODEL=meta-llama/Llama-Guard-3-1B export CUDA_VISIBLE_DEVICES=1 docker run --rm -it \\ --pull always \\ --network host \\ -v $HOME/.cache/huggingface:/data \\ -e HF_TOKEN=$HF_TOKEN \\ -p $SAFETY_INFERENCE_PORT:$SAFETY_INFERENCE_PORT \\ --gpus $CUDA_VISIBLE_DEVICES \\ ghcr.io/huggingface/text-generation-inference \\ --dtype bfloat16 \\ --usage-stats off \\ --sharded false \\ --cuda-memory-fraction 0.7 \\ --model-id $SAFETY_MODEL \\ --hostname 0.0.0.0 \\ --port $SAFETY_INFERENCE_PORT","s":"Setting up Inference server using Dell Enterprise Hub's custom TGI container.","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#setting-up-inference-server-using-dell-enterprise-hubs-custom-tgi-container","p":2425},{"i":2432,"t":"You can start a chroma-db easily using docker. # This is where the indices are persisted mkdir -p $HOME/chromadb docker run --rm -it \\ --network host \\ --name chromadb \\ -v $HOME/chromadb:/chroma/chroma \\ -e IS_PERSISTENT=TRUE \\ chromadb/chroma:latest \\ --port $CHROMADB_PORT \\ --host $CHROMADB_HOST","s":"Dell distribution relies on ChromaDB for vector database usage","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#dell-distribution-relies-on-chromadb-for-vector-database-usage","p":2425},{"i":2434,"t":"Now you are ready to run Llama Stack with TGI as the inference provider. You can do this via venv or Docker which has a pre-built image.","s":"Running Llama Stack","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#running-llama-stack","p":2425},{"i":2436,"t":"This method allows you to get started quickly without having to build the distribution code. docker run -it \\ --pull always \\ --network host \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v $HOME/.llama:/root/.llama \\ # NOTE: mount the llama-stack / llama-model directories if testing local changes else not needed -v $HOME/git/llama-stack:/app/llama-stack-source -v $HOME/git/llama-models:/app/llama-models-source \\ # localhost/distribution-dell:dev if building / testing locally -e INFERENCE_MODEL=$INFERENCE_MODEL \\ -e DEH_URL=$DEH_URL \\ -e CHROMA_URL=$CHROMA_URL \\ llamastack/distribution-dell \\ --port $LLAMA_STACK_PORT If you are using Llama Stack Safety / Shield APIs, use: # You need a local checkout of llama-stack to run this, get it using # git clone https://github.com/meta-llama/llama-stack.git cd /path/to/llama-stack export SAFETY_INFERENCE_PORT=8282 export DEH_SAFETY_URL=http://0.0.0.0:$SAFETY_INFERENCE_PORT export SAFETY_MODEL=meta-llama/Llama-Guard-3-1B docker run \\ -it \\ --pull always \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v $HOME/.llama:/root/.llama \\ -v ./llama_stack/distributions/tgi/run-with-safety.yaml:/root/my-run.yaml \\ -e INFERENCE_MODEL=$INFERENCE_MODEL \\ -e DEH_URL=$DEH_URL \\ -e SAFETY_MODEL=$SAFETY_MODEL \\ -e DEH_SAFETY_URL=$DEH_SAFETY_URL \\ -e CHROMA_URL=$CHROMA_URL \\ llamastack/distribution-dell \\ --config /root/my-run.yaml \\ --port $LLAMA_STACK_PORT","s":"Via Docker","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#via-docker","p":2425},{"i":2438,"t":"Install the distribution dependencies before launching: llama stack list-deps dell | xargs -L1 uv pip install INFERENCE_MODEL=$INFERENCE_MODEL \\ DEH_URL=$DEH_URL \\ CHROMA_URL=$CHROMA_URL \\ llama stack run dell \\ --port $LLAMA_STACK_PORT If you are using Llama Stack Safety / Shield APIs, use: INFERENCE_MODEL=$INFERENCE_MODEL \\ DEH_URL=$DEH_URL \\ SAFETY_MODEL=$SAFETY_MODEL \\ DEH_SAFETY_URL=$DEH_SAFETY_URL \\ CHROMA_URL=$CHROMA_URL \\ llama stack run ./run-with-safety.yaml \\ --port $LLAMA_STACK_PORT","s":"Via venv","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell","h":"#via-venv","p":2425},{"i":2440,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-tgi distribution consists of the following provider configurations. API Inference Agents Memory Safety Telemetry Provider(s) remote::tgi meta-reference meta-reference, remote::pgvector, remote::chroma meta-reference meta-reference The only difference vs. the tgi distribution is that it runs the Dell-TGI server for inference.","s":"Dell-TGI Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi","h":"","p":2439},{"i":2442,"t":"[!NOTE] This assumes you have access to GPU to start a TGI server with access to your GPU. $ cd distributions/dell-tgi/ $ ls compose.yaml README.md run.yaml $ docker compose up The script will first start up TGI server, then start up Llama Stack distribution server hooking up to the remote TGI provider for inference. You should be able to see the following outputs -- [text-generation-inference] | 2024-10-15T18:56:33.810397Z INFO text_generation_router::server: router/src/server.rs:1813: Using config Some(Llama) [text-generation-inference] | 2024-10-15T18:56:33.810448Z WARN text_generation_router::server: router/src/server.rs:1960: Invalid hostname, defaulting to 0.0.0.0 [text-generation-inference] | 2024-10-15T18:56:33.864143Z INFO text_generation_router::server: router/src/server.rs:2353: Connected INFO: Started server process [1] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://[::]:8321 (Press CTRL+C to quit) To kill the server docker compose down","s":"Start the Distribution (Single Node GPU)","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi","h":"#start-the-distribution-single-node-gpu","p":2439},{"i":2444,"t":"Start Dell-TGI server locally​ docker run -it --pull always --shm-size 1g -p 80:80 --gpus 4 \\ -e NUM_SHARD=4 -e MAX_BATCH_PREFILL_TOKENS=32768 \\ -e MAX_INPUT_TOKENS=8000 \\ -e MAX_TOTAL_TOKENS=8192 \\ registry.dell.huggingface.co/enterprise-dell-inference-meta-llama-meta-llama-3.1-8b-instruct Start Llama Stack server pointing to TGI server​ docker run --pull always --network host -it -p 8321:8321 -v ./run.yaml:/root/my-run.yaml --gpus=all llamastack/distribution-tgi --yaml_config /root/my-run.yaml Make sure in you run.yaml file, you inference provider is pointing to the correct TGI server endpoint. E.g. inference: - provider_id: tgi0 provider_type: remote::tgi config: url: http://127.0.0.1:5009","s":"(Alternative) Dell-TGI server + llama stack run (Single Node GPU)","u":"/v0.3.0/docs/distributions/self_hosted_distro/dell-tgi","h":"#alternative-dell-tgi-server--llama-stack-run-single-node-gpu","p":2439},{"i":2446,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-meta-reference-gpu distribution consists of the following provider configurations: API Provider(s) agents inline::meta-reference datasetio remote::huggingface, inline::localfs eval inline::meta-reference inference inline::meta-reference safety inline::llama-guard scoring inline::basic, inline::llm-as-judge, inline::braintrust tool_runtime remote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol vector_io inline::faiss, remote::chromadb, remote::pgvector Note that you need access to nvidia GPUs to run this distribution. This distribution is not compatible with CPU-only machines or machines with AMD GPUs.","s":"Meta Reference GPU Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","h":"","p":2445},{"i":2448,"t":"The following environment variables can be configured: LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321) INFERENCE_MODEL: Inference model loaded into the Meta Reference server (default: meta-llama/Llama-3.2-3B-Instruct) INFERENCE_CHECKPOINT_DIR: Directory containing the Meta Reference model checkpoint (default: null) SAFETY_MODEL: Name of the safety (Llama-Guard) model to use (default: meta-llama/Llama-Guard-3-1B) SAFETY_CHECKPOINT_DIR: Directory containing the Llama-Guard model checkpoint (default: null)","s":"Environment Variables","u":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","h":"#environment-variables","p":2445},{"i":2450,"t":"Please check that you have llama model checkpoints downloaded in ~/.llama before proceeding. See installation guide here to download the models using the Hugging Face CLI. ## Running the Distribution You can do this via venv or Docker which has a pre-built image. ### Via Docker This method allows you to get started quickly without having to build the distribution code. ```bash LLAMA_STACK_PORT=8321 docker run \\ -it \\ --pull always \\ --gpu all \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ~/.llama:/root/.llama \\ -e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \\ llamastack/distribution-meta-reference-gpu \\ --port $LLAMA_STACK_PORT If you are using Llama Stack Safety / Shield APIs, use: docker run \\ -it \\ --pull always \\ --gpu all \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ~/.llama:/root/.llama \\ -e INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \\ -e SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \\ llamastack/distribution-meta-reference-gpu \\ --port $LLAMA_STACK_PORT","s":"Prerequisite: Downloading Models","u":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","h":"#prerequisite-downloading-models","p":2445},{"i":2452,"t":"Make sure you have the Llama Stack CLI available. llama stack list-deps meta-reference-gpu | xargs -L1 uv pip install INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \\ llama stack run distributions/meta-reference-gpu/run.yaml \\ --port 8321 If you are using Llama Stack Safety / Shield APIs, use: INFERENCE_MODEL=meta-llama/Llama-3.2-3B-Instruct \\ SAFETY_MODEL=meta-llama/Llama-Guard-3-1B \\ llama stack run distributions/meta-reference-gpu/run-with-safety.yaml \\ --port 8321","s":"Via venv","u":"/v0.3.0/docs/distributions/self_hosted_distro/meta-reference-gpu","h":"#via-venv","p":2445},{"i":2454,"t":"The llamastack/distribution-nvidia distribution consists of the following provider configurations. API Provider(s) agents inline::meta-reference datasetio inline::localfs, remote::nvidia eval remote::nvidia files inline::localfs inference remote::nvidia post_training remote::nvidia safety remote::nvidia scoring inline::basic tool_runtime inline::rag-runtime vector_io inline::faiss","s":"NVIDIA Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"","p":2453},{"i":2456,"t":"The following environment variables can be configured: NVIDIA_API_KEY: NVIDIA API Key (default: ``) NVIDIA_APPEND_API_VERSION: Whether to append the API version to the base_url (default: True) NVIDIA_DATASET_NAMESPACE: NVIDIA Dataset Namespace (default: default) NVIDIA_PROJECT_ID: NVIDIA Project ID (default: test-project) NVIDIA_CUSTOMIZER_URL: NVIDIA Customizer URL (default: https://customizer.api.nvidia.com) NVIDIA_OUTPUT_MODEL_DIR: NVIDIA Output Model Directory (default: test-example-model@v1) GUARDRAILS_SERVICE_URL: URL for the NeMo Guardrails Service (default: http://0.0.0.0:7331) NVIDIA_GUARDRAILS_CONFIG_ID: NVIDIA Guardrail Configuration ID (default: self-check) NVIDIA_EVALUATOR_URL: URL for the NeMo Evaluator Service (default: http://0.0.0.0:7331) INFERENCE_MODEL: Inference model (default: Llama3.1-8B-Instruct) SAFETY_MODEL: Name of the model to use for safety (default: meta/llama-3.1-8b-instruct)","s":"Environment Variables","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#environment-variables","p":2453},{"i":2459,"t":"Make sure you have access to a NVIDIA API Key. You can get one by visiting https://build.nvidia.com/. Use this key for the NVIDIA_API_KEY environment variable.","s":"NVIDIA API Keys","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#nvidia-api-keys","p":2453},{"i":2461,"t":"The NVIDIA NeMo microservices platform supports end-to-end microservice deployment of a complete AI flywheel on your Kubernetes cluster through the NeMo Microservices Helm Chart. Please reference the NVIDIA NeMo Microservices documentation for platform prerequisites and instructions to install and deploy the platform.","s":"Deploy NeMo Microservices Platform","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#deploy-nemo-microservices-platform","p":2453},{"i":2463,"t":"Each Llama Stack API corresponds to a specific NeMo microservice. The core microservices (Customizer, Evaluator, Guardrails) are exposed by the same endpoint. The platform components (Data Store) are each exposed by separate endpoints.","s":"Supported Services","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#supported-services","p":2453},{"i":2465,"t":"NVIDIA NIM is used for running inference with registered models. There are two ways to access NVIDIA NIMs: Hosted (default): Preview APIs hosted at https://integrate.api.nvidia.com (Requires an API key) Self-hosted: NVIDIA NIMs that run on your own infrastructure. The deployed platform includes the NIM Proxy microservice, which is the service that provides to access your NIMs (for example, to run inference on a model). Set the NVIDIA_BASE_URL environment variable to use your NVIDIA NIM Proxy deployment.","s":"Inference: NVIDIA NIM","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#inference-nvidia-nim","p":2453},{"i":2467,"t":"The NeMo Data Store microservice serves as the default file storage solution for the NeMo microservices platform. It exposts APIs compatible with the Hugging Face Hub client (HfApi), so you can use the client to interact with Data Store. The NVIDIA_DATASETS_URL environment variable should point to your NeMo Data Store endpoint. See the NVIDIA Datasetio docs for supported features and example usage.","s":"Datasetio API: NeMo Data Store","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#datasetio-api-nemo-data-store","p":2453},{"i":2469,"t":"The NeMo Evaluator microservice supports evaluation of LLMs. Launching an Evaluation job with NeMo Evaluator requires an Evaluation Config (an object that contains metadata needed by the job). A Llama Stack Benchmark maps to an Evaluation Config, so registering a Benchmark creates an Evaluation Config in NeMo Evaluator. The NVIDIA_EVALUATOR_URL environment variable should point to your NeMo Microservices endpoint. See the NVIDIA Eval docs for supported features and example usage.","s":"Eval API: NeMo Evaluator","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#eval-api-nemo-evaluator","p":2453},{"i":2471,"t":"The NeMo Customizer microservice supports fine-tuning models. You can reference this list of supported models that can be fine-tuned using Llama Stack. The NVIDIA_CUSTOMIZER_URL environment variable should point to your NeMo Microservices endpoint. See the NVIDIA Post-Training docs for supported features and example usage.","s":"Post-Training API: NeMo Customizer","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#post-training-api-nemo-customizer","p":2453},{"i":2473,"t":"The NeMo Guardrails microservice sits between your application and the LLM, and adds checks and content moderation to a model. The GUARDRAILS_SERVICE_URL environment variable should point to your NeMo Microservices endpoint. See the NVIDIA Safety docs for supported features and example usage.","s":"Safety API: NeMo Guardrails","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#safety-api-nemo-guardrails","p":2453},{"i":2475,"t":"In order to use a registered model with the Llama Stack APIs, ensure the corresponding NIM is deployed to your environment. For example, you can use the NIM Proxy microservice to deploy meta/llama-3.2-1b-instruct. Note: For improved inference speeds, we need to use NIM with fast_outlines guided decoding system (specified in the request body). This is the default if you deployed the platform with the NeMo Microservices Helm Chart. # URL to NeMo NIM Proxy service export NEMO_URL=\"http://nemo.test\" curl --location \"$NEMO_URL/v1/deployment/model-deployments\" \\ -H 'accept: application/json' \\ -H 'Content-Type: application/json' \\ -d '{ \"name\": \"llama-3.2-1b-instruct\", \"namespace\": \"meta\", \"config\": { \"model\": \"meta/llama-3.2-1b-instruct\", \"nim_deployment\": { \"image_name\": \"nvcr.io/nim/meta/llama-3.2-1b-instruct\", \"image_tag\": \"1.8.3\", \"pvc_size\": \"25Gi\", \"gpu\": 1, \"additional_envs\": { \"NIM_GUIDED_DECODING_BACKEND\": \"fast_outlines\" } } } }' This NIM deployment should take approximately 10 minutes to go live. See the docs for more information on how to deploy a NIM and verify it's available for inference. You can also remove a deployed NIM to free up GPU resources, if needed. export NEMO_URL=\"http://nemo.test\" curl -X DELETE \"$NEMO_URL/v1/deployment/model-deployments/meta/llama-3.1-8b-instruct\"","s":"Deploying models","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#deploying-models","p":2453},{"i":2477,"t":"You can do this via venv (build code), or Docker which has a pre-built image.","s":"Running Llama Stack with NVIDIA","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#running-llama-stack-with-nvidia","p":2453},{"i":2479,"t":"This method allows you to get started quickly without having to build the distribution code. LLAMA_STACK_PORT=8321 docker run \\ -it \\ --pull always \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ./run.yaml:/root/my-run.yaml \\ -e NVIDIA_API_KEY=$NVIDIA_API_KEY \\ llamastack/distribution-nvidia \\ --config /root/my-run.yaml \\ --port $LLAMA_STACK_PORT","s":"Via Docker","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#via-docker","p":2453},{"i":2481,"t":"If you've set up your local development environment, you can also install the distribution dependencies using your local virtual environment. INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct llama stack list-deps nvidia | xargs -L1 uv pip install NVIDIA_API_KEY=$NVIDIA_API_KEY \\ INFERENCE_MODEL=$INFERENCE_MODEL \\ llama stack run ./run.yaml \\ --port 8321","s":"Via venv","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#via-venv","p":2453},{"i":2483,"t":"For examples of how to use the NVIDIA Distribution to run inference, fine-tune, evaluate, and run safety checks on your LLMs, you can reference the example notebooks in docs/notebooks/nvidia.","s":"Example Notebooks","u":"/v0.3.0/docs/distributions/self_hosted_distro/nvidia","h":"#example-notebooks","p":2453},{"i":2485,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-passthrough distribution consists of the following provider configurations. API Provider(s) agents inline::meta-reference datasetio remote::huggingface, inline::localfs eval inline::meta-reference inference remote::passthrough, inline::sentence-transformers safety inline::llama-guard scoring inline::basic, inline::llm-as-judge, inline::braintrust telemetry inline::meta-reference tool_runtime remote::brave-search, remote::tavily-search, remote::wolfram-alpha, inline::rag-runtime, remote::model-context-protocol vector_io inline::faiss, remote::chromadb, remote::pgvector","s":"Passthrough Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/passthrough","h":"","p":2484},{"i":2487,"t":"The following environment variables can be configured: LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321) PASSTHROUGH_API_KEY: Passthrough API Key (default: ``) PASSTHROUGH_URL: Passthrough URL (default: ``)","s":"Environment Variables","u":"/v0.3.0/docs/distributions/self_hosted_distro/passthrough","h":"#environment-variables","p":2484},{"i":2489,"t":"The following models are available by default: llama3.1-8b-instruct llama3.2-11b-vision-instruct","s":"Models","u":"/v0.3.0/docs/distributions/self_hosted_distro/passthrough","h":"#models","p":2484},{"i":2491,"t":":maxdepth: 2 :hidden: self The llamastack/distribution-starter distribution is a comprehensive, multi-provider distribution that includes most of the available inference providers in Llama Stack. It's designed to be a one-stop solution for developers who want to experiment with different AI providers without having to configure each one individually.","s":"Starter Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"","p":2490},{"i":2493,"t":"The starter distribution consists of the following provider configurations: API Provider(s) agents inline::meta-reference datasetio remote::huggingface, inline::localfs eval inline::meta-reference files inline::localfs inference remote::openai, remote::fireworks, remote::together, remote::ollama, remote::anthropic, remote::gemini, remote::groq, remote::sambanova, remote::vllm, remote::tgi, remote::cerebras, remote::llama-openai-compat, remote::nvidia, remote::hf::serverless, remote::hf::endpoint, inline::sentence-transformers safety inline::llama-guard scoring inline::basic, inline::llm-as-judge, inline::braintrust telemetry inline::meta-reference tool_runtime remote::brave-search, remote::tavily-search, inline::rag-runtime, remote::model-context-protocol vector_io inline::faiss, inline::sqlite-vec, inline::milvus, remote::chromadb, remote::pgvector","s":"Provider Composition","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#provider-composition","p":2490},{"i":2495,"t":"The starter distribution includes a comprehensive set of inference providers:","s":"Inference Providers","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#inference-providers","p":2490},{"i":2497,"t":"OpenAI: GPT-4, GPT-3.5, O1, O3, O4 models and text embeddings - provider ID: openai - reference documentation: openai Fireworks: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models and embeddings - provider ID: fireworks - reference documentation: fireworks Together: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models and embeddings - provider ID: together - reference documentation: together Anthropic: Claude 3.5 Sonnet, Claude 3.7 Sonnet, Claude 3.5 Haiku, and Voyage embeddings - provider ID: anthropic - reference documentation: anthropic Gemini: Gemini 1.5, 2.0, 2.5 models and text embeddings - provider ID: gemini - reference documentation: gemini Groq: Fast Llama models (3.1, 3.2, 3.3, 4 Scout, 4 Maverick) - provider ID: groq - reference documentation: groq SambaNova: Llama 3.1, 3.2, 3.3, 4 Scout, 4 Maverick models - provider ID: sambanova - reference documentation: sambanova Cerebras: Cerebras AI models - provider ID: cerebras - reference documentation: cerebras NVIDIA: NVIDIA NIM - provider ID: nvidia - reference documentation: nvidia HuggingFace: Serverless and endpoint models - provider ID: hf::serverless and hf::endpoint - reference documentation: huggingface-serverless and huggingface-endpoint Bedrock: AWS Bedrock models - provider ID: bedrock - reference documentation: bedrock","s":"Hosted Providers","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#hosted-providers","p":2490},{"i":2499,"t":"Ollama: Local Ollama models - provider ID: ollama - reference documentation: ollama vLLM: Local or remote vLLM server - provider ID: vllm - reference documentation: vllm TGI: Text Generation Inference server - Dell Enterprise Hub's custom TGI container too (use DEH_URL) - provider ID: tgi - reference documentation: tgi Sentence Transformers: Local embedding models - provider ID: sentence-transformers - reference documentation: sentence-transformers All providers are disabled by default. So you need to enable them by setting the environment variables.","s":"Local/Remote Providers","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#localremote-providers","p":2490},{"i":2501,"t":"The starter distribution includes a comprehensive set of vector IO providers: FAISS: Local FAISS vector store - enabled by default - provider ID: faiss SQLite: Local SQLite vector store - disabled by default - provider ID: sqlite-vec ChromaDB: Remote ChromaDB vector store - disabled by default - provider ID: chromadb PGVector: PostgreSQL vector store - disabled by default - provider ID: pgvector Milvus: Milvus vector store - disabled by default - provider ID: milvus","s":"Vector IO","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#vector-io","p":2490},{"i":2503,"t":"The following environment variables can be configured:","s":"Environment Variables","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#environment-variables","p":2490},{"i":2505,"t":"LLAMA_STACK_PORT: Port for the Llama Stack distribution server (default: 8321)","s":"Server Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#server-configuration","p":2490},{"i":2507,"t":"OPENAI_API_KEY: OpenAI API key FIREWORKS_API_KEY: Fireworks API key TOGETHER_API_KEY: Together API key ANTHROPIC_API_KEY: Anthropic API key GEMINI_API_KEY: Google Gemini API key GROQ_API_KEY: Groq API key SAMBANOVA_API_KEY: SambaNova API key CEREBRAS_API_KEY: Cerebras API key LLAMA_API_KEY: Llama API key NVIDIA_API_KEY: NVIDIA API key HF_API_TOKEN: HuggingFace API token","s":"API Keys for Hosted Providers","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#api-keys-for-hosted-providers","p":2490},{"i":2509,"t":"OLLAMA_URL: Ollama server URL (default: http://localhost:11434) VLLM_URL: vLLM server URL (default: http://localhost:8000/v1) VLLM_MAX_TOKENS: vLLM max tokens (default: 4096) VLLM_API_TOKEN: vLLM API token (default: fake) VLLM_TLS_VERIFY: vLLM TLS verification (default: true) TGI_URL: TGI server URL","s":"Local Provider Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#local-provider-configuration","p":2490},{"i":2511,"t":"INFERENCE_MODEL: HuggingFace model for serverless inference INFERENCE_ENDPOINT_NAME: HuggingFace endpoint name","s":"Model Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#model-configuration","p":2490},{"i":2513,"t":"SQLITE_STORE_DIR: SQLite store directory (default: ~/.llama/distributions/starter) ENABLE_SQLITE_VEC: Enable SQLite vector provider ENABLE_CHROMADB: Enable ChromaDB provider ENABLE_PGVECTOR: Enable PGVector provider CHROMADB_URL: ChromaDB server URL PGVECTOR_HOST: PGVector host (default: localhost) PGVECTOR_PORT: PGVector port (default: 5432) PGVECTOR_DB: PGVector database name PGVECTOR_USER: PGVector username PGVECTOR_PASSWORD: PGVector password","s":"Vector Database Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#vector-database-configuration","p":2490},{"i":2515,"t":"BRAVE_SEARCH_API_KEY: Brave Search API key TAVILY_SEARCH_API_KEY: Tavily Search API key","s":"Tool Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#tool-configuration","p":2490},{"i":2517,"t":"OTEL_SERVICE_NAME: OpenTelemetry service name TELEMETRY_SINKS: Telemetry sinks (default: [])","s":"Telemetry Configuration","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#telemetry-configuration","p":2490},{"i":2519,"t":"You can enable specific providers by setting appropriate environment variables. For example, # self-hosted export OLLAMA_URL=http://localhost:11434 # enables the Ollama inference provider export VLLM_URL=http://localhost:8000/v1 # enables the vLLM inference provider export TGI_URL=http://localhost:8000/v1 # enables the TGI inference provider # cloud-hosted requiring API key configuration on the server export CEREBRAS_API_KEY=your_cerebras_api_key # enables the Cerebras inference provider export NVIDIA_API_KEY=your_nvidia_api_key # enables the NVIDIA inference provider # vector providers export MILVUS_URL=http://localhost:19530 # enables the Milvus vector provider export CHROMADB_URL=http://localhost:8000/v1 # enables the ChromaDB vector provider export PGVECTOR_DB=llama_stack_db # enables the PGVector vector provider This distribution comes with a default \"llama-guard\" shield that can be enabled by setting the SAFETY_MODEL environment variable to point to an appropriate Llama Guard model id. Use llama-stack-client models list to see the list of available models.","s":"Enabling Providers","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#enabling-providers","p":2490},{"i":2521,"t":"You can run the starter distribution via Docker or venv.","s":"Running the Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#running-the-distribution","p":2490},{"i":2523,"t":"This method allows you to get started quickly without having to build the distribution code. LLAMA_STACK_PORT=8321 docker run \\ -it \\ --pull always \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -e OPENAI_API_KEY=your_openai_key \\ -e FIREWORKS_API_KEY=your_fireworks_key \\ -e TOGETHER_API_KEY=your_together_key \\ llamastack/distribution-starter \\ --port $LLAMA_STACK_PORT","s":"Via Docker","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#via-docker","p":2490},{"i":2525,"t":"Ensure you have configured the starter distribution using the environment variables explained above. # Install dependencies for the starter distribution uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install # Run the server uv run --with llama-stack llama stack run starter","s":"Via venv","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#via-venv","p":2490},{"i":2527,"t":"Once the distribution is running, you can use any of the available models. Here are some examples:","s":"Example Usage","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#example-usage","p":2490},{"i":2529,"t":"llama-stack-client --endpoint http://localhost:8321 \\ inference chat-completion \\ --model-id openai/gpt-4o \\ --message \"Hello, how are you?\"","s":"Using OpenAI Models","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#using-openai-models","p":2490},{"i":2531,"t":"llama-stack-client --endpoint http://localhost:8321 \\ inference chat-completion \\ --model-id fireworks/meta-llama/Llama-3.2-3B-Instruct \\ --message \"Write a short story about a robot.\"","s":"Using Fireworks Models","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#using-fireworks-models","p":2490},{"i":2533,"t":"# First, make sure Ollama is running and you have a model ollama run llama3.2:3b # Then use it through Llama Stack export OLLAMA_INFERENCE_MODEL=llama3.2:3b llama-stack-client --endpoint http://localhost:8321 \\ inference chat-completion \\ --model-id ollama/llama3.2:3b \\ --message \"Explain quantum computing in simple terms.\"","s":"Using Local Ollama Models","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#using-local-ollama-models","p":2490},{"i":2535,"t":"The starter distribution uses SQLite for local storage of various components: Metadata store: ~/.llama/distributions/starter/registry.db Inference store: ~/.llama/distributions/starter/inference_store.db FAISS store: ~/.llama/distributions/starter/faiss_store.db SQLite vector store: ~/.llama/distributions/starter/sqlite_vec.db Files metadata: ~/.llama/distributions/starter/files_metadata.db Agents store: ~/.llama/distributions/starter/agents_store.db Responses store: ~/.llama/distributions/starter/responses_store.db Evaluation store: ~/.llama/distributions/starter/meta_reference_eval.db Dataset I/O stores: Various HuggingFace and local filesystem stores","s":"Storage","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#storage","p":2490},{"i":2537,"t":"Comprehensive Coverage: Includes most popular AI providers in one distribution Flexible Configuration: Easy to enable/disable providers based on your needs No Local GPU Required: Most providers are cloud-based, making it accessible to developers without high-end hardware Easy Migration: Start with hosted providers and gradually move to local ones as needed Production Ready: Includes safety, evaluation, and telemetry components Tool Integration: Comes with web search, RAG, and model context protocol tools The starter distribution is ideal for developers who want to experiment with different AI providers, build prototypes quickly, or create applications that can work with multiple AI backends.","s":"Benefits of the Starter Distribution","u":"/v0.3.0/docs/distributions/self_hosted_distro/starter","h":"#benefits-of-the-starter-distribution","p":2490},{"i":2539,"t":"You can run a Llama Stack server in one of the following ways:","s":"Starting a Llama Stack Server","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","h":"","p":2538},{"i":2541,"t":"This is the simplest way to get started. Using Llama Stack as a library means you do not need to start a server. This is especially useful when you are not running inference locally and relying on an external inference service (eg. fireworks, together, groq, etc.) See Using Llama Stack as a Library","s":"As a Library:","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","h":"#as-a-library","p":2538},{"i":2543,"t":"Another simple way to start interacting with Llama Stack is to just spin up a container (via Docker or Podman) which is pre-built with all the providers you need. We provide a number of pre-built images so you can start a Llama Stack server instantly. You can also build your own custom container. Which distribution to choose depends on the hardware you have. See Selection of a Distribution for more details.","s":"Container:","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","h":"#container","p":2538},{"i":2545,"t":"If you have built a container image and want to deploy it in a Kubernetes cluster instead of starting the Llama Stack server locally. See Kubernetes Deployment Guide for more details.","s":"Kubernetes:","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","h":"#kubernetes","p":2538},{"i":2547,"t":"Control log output via environment variables before starting the server. LLAMA_STACK_LOGGING sets per-component levels, e.g. LLAMA_STACK_LOGGING=server=debug;core=info. Supported categories: all, core, server, router, inference, agents, safety, eval, tools, client. Levels: debug, info, warning, error, critical (default is info). Use all= to apply globally. LLAMA_STACK_LOG_FILE=/path/to/log mirrors logs to a file while still printing to stdout. Export these variables prior to running llama stack run, launching a container, or starting the server through any other pathway. :maxdepth: 1 :hidden: importing_as_library configuration","s":"Configure logging","u":"/v0.3.0/docs/distributions/starting_llama_stack_server","h":"#configure-logging","p":2538},{"i":2549,"t":"In this guide, we'll walk through how you can use the Llama Stack (server and client SDK) to test a simple agent. A Llama Stack agent is a simple integrated system that can perform tasks by combining a Llama model for reasoning with tools (e.g., RAG, web search, code execution, etc.) for taking actions. In Llama Stack, we provide a server exposing multiple APIs. These APIs are backed by implementations from different providers. Llama Stack is a stateful service with REST APIs to support seamless transition of AI applications across different environments. The server can be run in a variety of ways, including as a standalone binary, Docker container, or hosted service. You can build and test using a local server first and deploy to a hosted endpoint for production. In this guide, we'll walk through how to build a RAG agent locally using Llama Stack with Ollama as the inference provider for a Llama Model.","s":"Detailed Tutorial","u":"/v0.3.0/docs/getting_started/detailed_tutorial","h":"#detailed-tutorial","p":2548},{"i":2551,"t":"Install Ollama by following the instructions on the Ollama website, then download Llama 3.2 3B model, and then start the Ollama service. ollama pull llama3.2:3b ollama run llama3.2:3b --keepalive 60m Install uv to setup your virtual environment macOS and Linux Windows Use curl to download the script and execute it with sh: curl -LsSf https://astral.sh/uv/install.sh | sh Use irm to download the script and execute it with iex: powershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\" Setup your virtual environment. uv sync --python 3.12 source .venv/bin/activate","s":"Step 1: Installation and Setup","u":"/v0.3.0/docs/getting_started/detailed_tutorial","h":"#step-1-installation-and-setup","p":2548},{"i":2553,"t":"Llama Stack is a server that exposes multiple APIs, you connect with it using the Llama Stack client SDK. Using venv Using a Container You can use Python to install dependencies and run the Llama Stack server, which is useful for testing and development. Llama Stack uses a YAML configuration file to specify the stack setup, which defines the providers and their settings. The generated configuration serves as a starting point that you can customize for your specific needs. Now let's install dependencies and run the Llama Stack config for Ollama. We use starter as template. By default all providers are disabled, this requires enable ollama by passing environment variables. # Install dependencies for the starter distribution uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install # Run the server llama stack run starter You can use a container image to run the Llama Stack server. We provide several container images for the server component that works with different inference providers out of the box. For this guide, we will use llamastack/distribution-starter as the container image. If you'd like to build your own image or customize the configurations, please check out this guide. First lets setup some environment variables and create a local directory to mount into the container’s file system. export LLAMA_STACK_PORT=8321 mkdir -p ~/.llama Then start the server using the container tool of your choice. For example, if you are running Docker you can use the following command: docker run -it \\ --pull always \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ~/.llama:/root/.llama \\ -e OLLAMA_URL=http://host.docker.internal:11434 \\ llamastack/distribution-starter \\ --port $LLAMA_STACK_PORT Note to start the container with Podman, you can do the same but replace docker at the start of the command with podman. If you are using podman older than 4.7.0, please also replace host.docker.internal in the OLLAMA_URL with host.containers.internal. The configuration YAML for the Ollama distribution is available at distributions/ollama/run.yaml. tip Docker containers run in their own isolated network namespaces on Linux. To allow the container to communicate with services running on the host via localhost, you need --network=host. This makes the container use the host's network directly so it can connect to Ollama running on localhost:11434. Linux users having issues running the above command should instead try the following: docker run -it \\ --pull always \\ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \\ -v ~/.llama:/root/.llama \\ --network=host \\ -e OLLAMA_URL=http://localhost:11434 \\ llamastack/distribution-starter \\ --port $LLAMA_STACK_PORT You will see output like below: INFO: Application startup complete. INFO: Uvicorn running on http://['::', '0.0.0.0']:8321 (Press CTRL+C to quit) Now you can use the Llama Stack client to run inference and build agents! You can reuse the server setup or use the Llama Stack Client. Note that the client package is already included in the llama-stack package.","s":"Step 2: Run Llama Stack","u":"/v0.3.0/docs/getting_started/detailed_tutorial","h":"#step-2--run-llama-stack","p":2548},{"i":2555,"t":"Open a new terminal and navigate to the same directory you started the server from. Then set up a new or activate your existing server virtual environment. Reuse Server venv Install with venv # The client is included in the llama-stack package so we just activate the server venv source .venv/bin/activate uv venv client --python 3.12 source client/bin/activate pip install llama-stack-client Now let's use the llama-stack-client CLI to check the connectivity to the server. llama-stack-client configure --endpoint http://localhost:8321 --api-key none You will see the below: Done! You can now use the Llama Stack Client CLI with endpoint http://localhost:8321 List the models llama-stack-client models list Available Models ┏━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ model_type ┃ identifier ┃ provider_resource_id ┃ metadata ┃ provider_id ┃ ┡━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━┩ │ embedding │ ollama/nomic-embed-text:v1.5 │ nomic-embed-text:v1.5 │ {'embedding_dimension': 768.0} │ ollama │ ├─────────────────┼─────────────────────────────────────┼─────────────────────────────────────┼───────────────────────────────────────────┼───────────────────────┤ │ ... │ ... │ ... │ │ ... │ ├─────────────────┼─────────────────────────────────────┼─────────────────────────────────────┼───────────────────────────────────────────┼───────────────────────┤ │ llm │ ollama/Llama-3.2:3b │ llama3.2:3b │ │ ollama │ └─────────────────┴─────────────────────────────────────┴─────────────────────────────────────┴───────────────────────────────────────────┴───────────────────────┘ You can test basic Llama inference completion using the CLI. llama-stack-client inference chat-completion --model-id \"ollama/llama3.2:3b\" --message \"tell me a joke\" Sample output: OpenAIChatCompletion( id=\"chatcmpl-08d7b2be-40f3-47ed-8f16-a6f29f2436af\", choices=[ OpenAIChatCompletionChoice( finish_reason=\"stop\", index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam( role=\"assistant\", content=\"Why couldn't the bicycle stand up by itself?\\n\\nBecause it was two-tired.\", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None, ), logprobs=None, ) ], created=1751725254, model=\"llama3.2:3b\", object=\"chat.completion\", service_tier=None, system_fingerprint=\"fp_ollama\", usage={ \"completion_tokens\": 18, \"prompt_tokens\": 29, \"total_tokens\": 47, \"completion_tokens_details\": None, \"prompt_tokens_details\": None, }, )","s":"Step 3: Run Client CLI","u":"/v0.3.0/docs/getting_started/detailed_tutorial","h":"#step-3-run-client-cli","p":2548},{"i":2557,"t":"Note that these demos show the Python Client SDK. Other SDKs are also available, please refer to the Client SDK list for the complete options. Basic Inference Build a Simple Agent Build a RAG Agent Now you can run inference using the Llama Stack client SDK. i. Create the Script​ Create a file inference.py and add the following code: from llama_stack_client import LlamaStackClient client = LlamaStackClient(base_url=\"http://localhost:8321\") # List available models models = client.models.list() # Select the first LLM llm = next(m for m in models if m.model_type == \"llm\" and m.provider_id == \"ollama\") model_id = llm.identifier print(\"Model:\", model_id) response = client.chat.completions.create( model=model_id, messages=[ {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"}, {\"role\": \"user\", \"content\": \"Write a haiku about coding\"}, ], ) print(response) ii. Run the Script​ Let's run the script using uv uv run python inference.py Which will output: Model: ollama/llama3.2:3b OpenAIChatCompletion(id='chatcmpl-30cd0f28-a2ad-4b6d-934b-13707fc60ebf', choices=[OpenAIChatCompletionChoice(finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam(role='assistant', content=\"Lines of code unfold\\nAlgorithms dance with ease\\nLogic's gentle kiss\", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None), logprobs=None)], created=1751732480, model='llama3.2:3b', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={'completion_tokens': 16, 'prompt_tokens': 37, 'total_tokens': 53, 'completion_tokens_details': None, 'prompt_tokens_details': None}) Next we can move beyond simple inference and build an agent that can perform tasks using the Llama Stack server. i. Create the Script​ Create a file agent.py and add the following code: from llama_stack_client import LlamaStackClient from llama_stack_client import Agent, AgentEventLogger from rich.pretty import pprint import uuid client = LlamaStackClient(base_url=f\"http://localhost:8321\") models = client.models.list() llm = next(m for m in models if m.model_type == \"llm\" and m.provider_id == \"ollama\") model_id = llm.identifier agent = Agent(client, model=model_id, instructions=\"You are a helpful assistant.\") s_id = agent.create_session(session_name=f\"s{uuid.uuid4().hex}\") print(\"Non-streaming ...\") response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Who are you?\"}], session_id=s_id, stream=False, ) print(\"agent>\", response.output_message.content) print(\"Streaming ...\") stream = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Who are you?\"}], session_id=s_id, stream=True ) for event in stream: pprint(event) print(\"Streaming with print helper...\") stream = agent.create_turn( messages=[{\"role\": \"user\", \"content\": \"Who are you?\"}], session_id=s_id, stream=True ) for event in AgentEventLogger().log(stream): event.print() ii. Run the Script​ Let's run the script using uv uv run python agent.py Non-streaming ... agent> I'm an artificial intelligence designed to assist and communicate with users like you. I don't have a personal identity, but I can provide information, answer questions, and help with tasks to the best of my abilities. I'm a large language model, which means I've been trained on a massive dataset of text from various sources, allowing me to understand and respond to a wide range of topics and questions. My purpose is to provide helpful and accurate information, and I'm constantly learning and improving my responses based on the interactions I have with users like you. I can help with: * Answering questions on various subjects * Providing definitions and explanations * Offering suggestions and ideas * Assisting with language-related tasks, such as proofreading and editing * Generating text and content * And more! Feel free to ask me anything, and I'll do my best to help! Streaming ... AgentTurnResponseStreamChunk( │ event=TurnResponseEvent( │ │ payload=AgentTurnResponseStepStartPayload( │ │ │ event_type='step_start', │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ step_type='inference', │ │ │ metadata={} │ │ ) │ ) ) AgentTurnResponseStreamChunk( │ event=TurnResponseEvent( │ │ payload=AgentTurnResponseStepProgressPayload( │ │ │ delta=TextDelta(text='As', type='text'), │ │ │ event_type='step_progress', │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ step_type='inference' │ │ ) │ ) ) AgentTurnResponseStreamChunk( │ event=TurnResponseEvent( │ │ payload=AgentTurnResponseStepProgressPayload( │ │ │ delta=TextDelta(text=' a', type='text'), │ │ │ event_type='step_progress', │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ step_type='inference' │ │ ) │ ) ) ... AgentTurnResponseStreamChunk( │ event=TurnResponseEvent( │ │ payload=AgentTurnResponseStepCompletePayload( │ │ │ event_type='step_complete', │ │ │ step_details=InferenceStep( │ │ │ │ api_model_response=CompletionMessage( │ │ │ │ │ content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface – I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?', │ │ │ │ │ role='assistant', │ │ │ │ │ stop_reason='end_of_turn', │ │ │ │ │ tool_calls=[] │ │ │ │ ), │ │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ │ step_type='inference', │ │ │ │ turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca', │ │ │ │ completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 716174, tzinfo=TzInfo(UTC)), │ │ │ │ started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28823, tzinfo=TzInfo(UTC)) │ │ │ ), │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ step_type='inference' │ │ ) │ ) ) AgentTurnResponseStreamChunk( │ event=TurnResponseEvent( │ │ payload=AgentTurnResponseTurnCompletePayload( │ │ │ event_type='turn_complete', │ │ │ turn=Turn( │ │ │ │ input_messages=[UserMessage(content='Who are you?', role='user', context=None)], │ │ │ │ output_message=CompletionMessage( │ │ │ │ │ content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface – I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?', │ │ │ │ │ role='assistant', │ │ │ │ │ stop_reason='end_of_turn', │ │ │ │ │ tool_calls=[] │ │ │ │ ), │ │ │ │ session_id='abd4afea-4324-43f4-9513-cfe3970d92e8', │ │ │ │ started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28722, tzinfo=TzInfo(UTC)), │ │ │ │ steps=[ │ │ │ │ │ InferenceStep( │ │ │ │ │ │ api_model_response=CompletionMessage( │ │ │ │ │ │ │ content='As a conversational AI, I don\\'t have a personal identity in the classical sense. I exist as a program running on computer servers, designed to process and respond to text-based inputs.\\n\\nI\\'m an instance of a type of artificial intelligence called a \"language model,\" which is trained on vast amounts of text data to generate human-like responses. My primary function is to understand and respond to natural language inputs, like our conversation right now.\\n\\nThink of me as a virtual assistant, a chatbot, or a conversational interface – I\\'m here to provide information, answer questions, and engage in conversation to the best of my abilities. I don\\'t have feelings, emotions, or consciousness like humans do, but I\\'m designed to simulate human-like interactions to make our conversations feel more natural and helpful.\\n\\nSo, that\\'s me in a nutshell! What can I help you with today?', │ │ │ │ │ │ │ role='assistant', │ │ │ │ │ │ │ stop_reason='end_of_turn', │ │ │ │ │ │ │ tool_calls=[] │ │ │ │ │ │ ), │ │ │ │ │ │ step_id='69831607-fa75-424a-949b-e2049e3129d1', │ │ │ │ │ │ step_type='inference', │ │ │ │ │ │ turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca', │ │ │ │ │ │ completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 716174, tzinfo=TzInfo(UTC)), │ │ │ │ │ │ started_at=datetime.datetime(2025, 4, 3, 1, 15, 14, 28823, tzinfo=TzInfo(UTC)) │ │ │ │ │ ) │ │ │ │ ], │ │ │ │ turn_id='8b360202-f7cb-4786-baa9-166a1b46e2ca', │ │ │ │ completed_at=datetime.datetime(2025, 4, 3, 1, 15, 21, 727364, tzinfo=TzInfo(UTC)), │ │ │ │ output_attachments=[] │ │ │ ) │ │ ) │ ) ) Streaming with print helper... inference> Déjà vu! You're asking me again! As I mentioned earlier, I'm a computer program designed to simulate conversation and answer questions. I don't have a personal identity or consciousness like a human would. I exist solely as a digital entity, running on computer servers and responding to inputs from users like you. I'm a type of artificial intelligence (AI) called a large language model, which means I've been trained on a massive dataset of text from various sources. This training allows me to understand and respond to a wide range of questions and topics. My purpose is to provide helpful and accurate information, answer questions, and assist users like you with tasks and conversations. I don't have personal preferences, emotions, or opinions like humans do. My goal is to be informative, neutral, and respectful in my responses. So, that's me in a nutshell! For our last demo, we can build a RAG agent that can answer questions about the Torchtune project using the documents in a vector database. i. Create the Script​ Create a file rag_agent.py and add the following code: from llama_stack_client import LlamaStackClient from llama_stack_client import Agent, AgentEventLogger from llama_stack_client.types import Document import uuid client = LlamaStackClient(base_url=\"http://localhost:8321\") # Create a vector database instance embed_lm = next(m for m in client.models.list() if m.model_type == \"embedding\") embedding_model = embed_lm.identifier vector_db_id = f\"v{uuid.uuid4().hex}\" # The VectorDB API is deprecated; the server now returns its own authoritative ID. # We capture the correct ID from the response's .identifier attribute. vector_db_id = client.vector_dbs.register( vector_db_id=vector_db_id, embedding_model=embedding_model, ).identifier # Create Documents urls = [ \"memory_optimizations.rst\", \"chat.rst\", \"llama3.rst\", \"qat_finetune.rst\", \"lora_finetune.rst\", ] documents = [ Document( document_id=f\"num-{i}\", content=f\"https://raw.githubusercontent.com/pytorch/torchtune/main/docs/source/tutorials/{url}\", mime_type=\"text/plain\", metadata={}, ) for i, url in enumerate(urls) ] # Insert documents client.tool_runtime.rag_tool.insert( documents=documents, vector_db_id=vector_db_id, chunk_size_in_tokens=512, ) # Get the model being served llm = next( m for m in client.models.list() if m.model_type == \"llm\" and m.provider_id == \"ollama\" ) model = llm.identifier # Create the RAG agent rag_agent = Agent( client, model=model, instructions=\"You are a helpful assistant. Use the RAG tool to answer questions as needed.\", tools=[ { \"name\": \"builtin::rag/knowledge_search\", \"args\": {\"vector_db_ids\": [vector_db_id]}, } ], ) session_id = rag_agent.create_session(session_name=f\"s{uuid.uuid4().hex}\") turns = [\"what is torchtune\", \"tell me about dora\"] for t in turns: print(\"user>\", t) stream = rag_agent.create_turn( messages=[{\"role\": \"user\", \"content\": t}], session_id=session_id, stream=True ) for event in AgentEventLogger().log(stream): event.print() ii. Run the Script​ Let's run the script using uv uv run python rag_agent.py user> what is torchtune inference> [knowledge_search(query='TorchTune')] tool_execution> Tool:knowledge_search Args:{'query': 'TorchTune'} tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks:\\nBEGIN of knowledge_search tool results.\\n', type='text'), TextContentItem(text='Result 1:\\nDocument_id:num-1\\nContent: conversational data, :func:`~torchtune.datasets.chat_dataset` seems to be a good fit. ..., type='text'), TextContentItem(text='END of knowledge_search tool results.\\n', type='text')] inference> Here is a high-level overview of the text: **LoRA Finetuning with PyTorch Tune** PyTorch Tune provides a recipe for LoRA (Low-Rank Adaptation) finetuning, which is a technique to adapt pre-trained models to new tasks. The recipe uses the `lora_finetune_distributed` command. ... Overall, DORA is a powerful reinforcement learning algorithm that can learn complex tasks from human demonstrations. However, it requires careful consideration of the challenges and limitations to achieve optimal results. You're Ready to Build Your Own Apps! Congrats! 🥳 Now you're ready to build your own Llama Stack applications! 🚀","s":"Step 4: Run the Demos","u":"/v0.3.0/docs/getting_started/detailed_tutorial","h":"#step-4-run-the-demos","p":2548},{"i":2559,"t":"We have a number of client-side SDKs available for different languages. Language Client SDK Package Python llama-stack-client-python Swift llama-stack-client-swift Node llama-stack-client-node Kotlin llama-stack-client-kotlin","s":"Libraries (SDKs)","u":"/v0.3.0/docs/getting_started/libraries","h":"#libraries-sdks","p":2558},{"i":2561,"t":"Get started with Llama Stack in minutes! Llama Stack is a stateful service with REST APIs to support the seamless transition of AI applications across different environments. You can build and test using a local server first and deploy to a hosted endpoint for production. In this guide, we'll walk through how to build a RAG application locally using Llama Stack with Ollama as the inference provider for a Llama Model. 💡 Notebook Version: You can also follow this quickstart guide in a Jupyter notebook format: quick_start.ipynb Step 1: Install and setup​ Install uv Run inference on a Llama model with Ollama ollama run llama3.2:3b --keepalive 60m Step 2: Run the Llama Stack server​ We will use uv to install dependencies and run the Llama Stack server. # Install dependencies for the starter distribution uv run --with llama-stack llama stack list-deps starter | xargs -L1 uv pip install # Run the server OLLAMA_URL=http://localhost:11434 uv run --with llama-stack llama stack run starter Step 3: Run the demo​ Now open up a new terminal and copy the following script into a file named demo_script.py. demo_script.py # Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. from llama_stack_client import Agent, AgentEventLogger, RAGDocument, LlamaStackClient vector_db_id = \"my_demo_vector_db\" client = LlamaStackClient(base_url=\"http://localhost:8321\") models = client.models.list() # Select the first LLM and first embedding models model_id = next(m for m in models if m.model_type == \"llm\").identifier embedding_model_id = ( em := next(m for m in models if m.model_type == \"embedding\") ).identifier embedding_dimension = em.metadata[\"embedding_dimension\"] vector_db = client.vector_dbs.register( vector_db_id=vector_db_id, embedding_model=embedding_model_id, embedding_dimension=embedding_dimension, provider_id=\"faiss\", ) vector_db_id = vector_db.identifier source = \"https://www.paulgraham.com/greatwork.html\" print(\"rag_tool> Ingesting document:\", source) document = RAGDocument( document_id=\"document_1\", content=source, mime_type=\"text/html\", metadata={}, ) client.tool_runtime.rag_tool.insert( documents=[document], vector_db_id=vector_db_id, chunk_size_in_tokens=100, ) agent = Agent( client, model=model_id, instructions=\"You are a helpful assistant\", tools=[ { \"name\": \"builtin::rag/knowledge_search\", \"args\": {\"vector_db_ids\": [vector_db_id]}, } ], ) prompt = \"How do you do great work?\" print(\"prompt>\", prompt) use_stream = True response = agent.create_turn( messages=[{\"role\": \"user\", \"content\": prompt}], session_id=agent.create_session(\"rag_session\"), stream=use_stream, ) # Only call `AgentEventLogger().log(response)` for streaming responses. if use_stream: for log in AgentEventLogger().log(response): log.print() else: print(response) We will use uv to run the script uv run --with llama-stack-client,fire,requests demo_script.py And you should see output like below. rag_tool> Ingesting document: https://www.paulgraham.com/greatwork.html prompt> How do you do great work? inference> [knowledge_search(query=\"What is the key to doing great work\")] tool_execution> Tool:knowledge_search Args:{'query': 'What is the key to doing great work'} tool_execution> Tool:knowledge_search Response:[TextContentItem(text='knowledge_search tool found 5 chunks:\\nBEGIN of knowledge_search tool results.\\n', type='text'), TextContentItem(text=\"Result 1:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 2:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 3:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 4:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text=\"Result 5:\\nDocument_id:docum\\nContent: work. Doing great work means doing something important\\nso well that you expand people's ideas of what's possible. But\\nthere's no threshold for importance. It's a matter of degree, and\\noften hard to judge at the time anyway.\\n\", type='text'), TextContentItem(text='END of knowledge_search tool results.\\n', type='text')] inference> Based on the search results, it seems that doing great work means doing something important so well that you expand people's ideas of what's possible. However, there is no clear threshold for importance, and it can be difficult to judge at the time. To further clarify, I would suggest that doing great work involves: * Completing tasks with high quality and attention to detail * Expanding on existing knowledge or ideas * Making a positive impact on others through your work * Striving for excellence and continuous improvement Ultimately, great work is about making a meaningful contribution and leaving a lasting impression. Congratulations! You've successfully built your first RAG application using Llama Stack! 🎉🥳 HuggingFace access If you are getting a 401 Client Error from HuggingFace for the all-MiniLM-L6-v2 model, try setting HF_TOKEN to a valid HuggingFace token in your environment","s":"Quickstart","u":"/v0.3.0/docs/getting_started/quickstart","h":"","p":2560},{"i":2563,"t":"Now you're ready to dive deeper into Llama Stack! Explore the Detailed Tutorial. Try the Getting Started Notebook. Browse more Notebooks on GitHub. Learn about Llama Stack Concepts. Discover how to Build Llama Stacks. Refer to our References for details on the Llama CLI and Python SDK. Check out the llama-stack-apps repository for example applications and tutorials.","s":"Next Steps","u":"/v0.3.0/docs/getting_started/quickstart","h":"#next-steps","p":2560},{"i":2565,"t":"The goal of Llama Stack is to build an ecosystem where users can easily swap out different implementations for the same API. Examples for these include: LLM inference providers (e.g., Meta Reference, Ollama, Fireworks, Together, AWS Bedrock, Groq, Cerebras, SambaNova, vLLM, OpenAI, Anthropic, Gemini, WatsonX, etc.), Vector databases (e.g., FAISS, SQLite-Vec, ChromaDB, Weaviate, Qdrant, Milvus, PGVector, etc.), Safety providers (e.g., Meta's Llama Guard, Prompt Guard, Code Scanner, AWS Bedrock Guardrails, etc.), Tool Runtime providers (e.g., RAG Runtime, Brave Search, etc.) Providers come in two flavors: Remote: the provider runs as a separate service external to the Llama Stack codebase. Llama Stack contains a small amount of adapter code. Inline: the provider is fully specified and implemented within the Llama Stack codebase. It may be a simple wrapper around an existing library, or a full fledged implementation within Llama Stack. Importantly, Llama Stack always strives to provide at least one fully inline provider for each API so you can iterate on a fully featured environment locally.","s":"API Providers","u":"/v0.3.0/docs/providers","h":"","p":2564},{"i":2567,"t":"External Providers - Guide for building and using external providers Inference - LLM and embedding model providers Agents - Agentic system providers DatasetIO - Dataset and data loader providers Safety - Content moderation and safety providers Telemetry - Monitoring and observability providers Vector IO - Vector database providers Tool Runtime - Tool and protocol providers Files - File system and storage providers","s":"Provider Categories","u":"/v0.3.0/docs/providers","h":"#provider-categories","p":2564},{"i":2569,"t":"OpenAI Compatibility - OpenAI API compatibility layer OpenAI-Compatible Responses Limitations - Known limitations of the Responses API in Llama Stack","s":"Other information about Providers","u":"/v0.3.0/docs/providers","h":"#other-information-about-providers","p":2564},{"i":2572,"t":"Agents APIs for creating and interacting with agentic systems. This section contains documentation for all available providers for the agents API.","s":"Overview","u":"/v0.3.0/docs/providers/agents","h":"#overview","p":2570},{"i":2575,"t":"Meta's reference implementation of an agent system that can use tools, access vector databases, and perform complex reasoning tasks.","s":"Description","u":"/v0.3.0/docs/providers/agents/inline_meta-reference","h":"#description","p":2573},{"i":2577,"t":"Field Type Required Default Description persistence No","s":"Configuration","u":"/v0.3.0/docs/providers/agents/inline_meta-reference","h":"#configuration","p":2573},{"i":2579,"t":"persistence: agent_state: namespace: agents backend: kv_default responses: table_name: responses backend: sql_default max_write_queue_size: 10000 num_writers: 4","s":"Sample Configuration","u":"/v0.3.0/docs/providers/agents/inline_meta-reference","h":"#sample-configuration","p":2573},{"i":2582,"t":"The Batches API enables efficient processing of multiple requests in a single operation, particularly useful for processing large datasets, batch evaluation workflows, and cost-effective inference at scale. The API is designed to allow use of openai client libraries for seamless integration. This API provides the following extensions: idempotent batch creation Note: This API is currently under active development and may undergo changes. This section contains documentation for all available providers for the batches API.","s":"Overview","u":"/v0.3.0/docs/providers/batches","h":"#overview","p":2580},{"i":2585,"t":"Reference implementation of batches API with KVStore persistence.","s":"Description","u":"/v0.3.0/docs/providers/batches/inline_reference","h":"#description","p":2583},{"i":2587,"t":"Field Type Required Default Description kvstore No Configuration for the key-value store backend. max_concurrent_batches No 1 Maximum number of concurrent batches to process simultaneously. max_concurrent_requests_per_batch No 10 Maximum number of concurrent requests to process per batch.","s":"Configuration","u":"/v0.3.0/docs/providers/batches/inline_reference","h":"#configuration","p":2583},{"i":2589,"t":"kvstore: namespace: batches backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/batches/inline_reference","h":"#sample-configuration","p":2583},{"i":2592,"t":"This section contains documentation for all available providers for the datasetio API.","s":"Overview","u":"/v0.3.0/docs/providers/datasetio","h":"#overview","p":2590},{"i":2595,"t":"Local filesystem-based dataset I/O provider for reading and writing datasets to local storage.","s":"Description","u":"/v0.3.0/docs/providers/datasetio/inline_localfs","h":"#description","p":2593},{"i":2597,"t":"Field Type Required Default Description kvstore No","s":"Configuration","u":"/v0.3.0/docs/providers/datasetio/inline_localfs","h":"#configuration","p":2593},{"i":2599,"t":"kvstore: namespace: datasetio::localfs backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/datasetio/inline_localfs","h":"#sample-configuration","p":2593},{"i":2602,"t":"HuggingFace datasets provider for accessing and managing datasets from the HuggingFace Hub.","s":"Description","u":"/v0.3.0/docs/providers/datasetio/remote_huggingface","h":"#description","p":2600},{"i":2604,"t":"Field Type Required Default Description kvstore No","s":"Configuration","u":"/v0.3.0/docs/providers/datasetio/remote_huggingface","h":"#configuration","p":2600},{"i":2606,"t":"kvstore: namespace: datasetio::huggingface backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/datasetio/remote_huggingface","h":"#sample-configuration","p":2600},{"i":2609,"t":"NVIDIA's dataset I/O provider for accessing datasets from NVIDIA's data platform.","s":"Description","u":"/v0.3.0/docs/providers/datasetio/remote_nvidia","h":"#description","p":2607},{"i":2611,"t":"Field Type Required Default Description api_key str | None No The NVIDIA API key. dataset_namespace str | None No default The NVIDIA dataset namespace. project_id str | None No test-project The NVIDIA project ID. datasets_url No http://nemo.test Base URL for the NeMo Dataset API","s":"Configuration","u":"/v0.3.0/docs/providers/datasetio/remote_nvidia","h":"#configuration","p":2607},{"i":2613,"t":"api_key: ${env.NVIDIA_API_KEY:=} dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default} project_id: ${env.NVIDIA_PROJECT_ID:=test-project} datasets_url: ${env.NVIDIA_DATASETS_URL:=http://nemo.test}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/datasetio/remote_nvidia","h":"#sample-configuration","p":2607},{"i":2616,"t":"Evaluations Llama Stack Evaluation API for running evaluations on model and agent candidates. This section contains documentation for all available providers for the eval API.","s":"Overview","u":"/v0.3.0/docs/providers/eval","h":"#overview","p":2614},{"i":2619,"t":"Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.","s":"Description","u":"/v0.3.0/docs/providers/eval/inline_meta-reference","h":"#description","p":2617},{"i":2621,"t":"Field Type Required Default Description kvstore No","s":"Configuration","u":"/v0.3.0/docs/providers/eval/inline_meta-reference","h":"#configuration","p":2617},{"i":2623,"t":"kvstore: namespace: eval backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/eval/inline_meta-reference","h":"#sample-configuration","p":2617},{"i":2626,"t":"NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.","s":"Description","u":"/v0.3.0/docs/providers/eval/remote_nvidia","h":"#description","p":2624},{"i":2628,"t":"Field Type Required Default Description evaluator_url No http://0.0.0.0:7331 The url for accessing the evaluator service","s":"Configuration","u":"/v0.3.0/docs/providers/eval/remote_nvidia","h":"#configuration","p":2624},{"i":2630,"t":"evaluator_url: ${env.NVIDIA_EVALUATOR_URL:=http://localhost:7331}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/eval/remote_nvidia","h":"#sample-configuration","p":2624},{"i":2632,"t":"Llama Stack supports external providers that live outside of the main codebase. This allows you to: Create and maintain your own providers independently Share providers with others without contributing to the main codebase Keep provider-specific code separate from the core Llama Stack code","s":"External Providers","u":"/v0.3.0/docs/providers/external","h":"","p":2631},{"i":2634,"t":"Known External Providers Creating External Providers","s":"External Provider Documentation","u":"/v0.3.0/docs/providers/external","h":"#external-provider-documentation","p":2631},{"i":2637,"t":"To enable external providers, you need to add module into your build yaml, allowing Llama Stack to install the required package corresponding to the external provider. an example entry in your build.yaml should look like: - provider_type: remote::ramalama module: ramalama_stack","s":"Configuration","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#configuration","p":2635},{"i":2639,"t":"Llama Stack supports two types of external providers: Remote Providers: Providers that communicate with external services (e.g., cloud APIs) Inline Providers: Providers that run locally within the Llama Stack process","s":"Provider Types","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#provider-types","p":2635},{"i":2641,"t":"provider_type: The type of the provider to be installed (remote or inline). eg. remote::ollama api: The API for this provider, eg. inference config_class: The full path to the configuration class module: The Python module containing the provider implementation optional_api_dependencies: List of optional Llama Stack APIs that this provider can use api_dependencies: List of Llama Stack APIs that this provider depends on provider_data_validator: Optional validator for provider data. pip_packages: List of Python packages required by the provider","s":"Provider Specification (Common between inline and remote providers)","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#provider-specification-common-between-inline-and-remote-providers","p":2635},{"i":2643,"t":"Remote providers are used when you need to communicate with external services. Here's an example for a custom Ollama provider: adapter_type: custom_ollama provider_type: \"remote::ollama\" pip_packages: - ollama - aiohttp config_class: llama_stack_ollama_provider.config.OllamaImplConfig module: llama_stack_ollama_provider api_dependencies: [] optional_api_dependencies: [] Remote Provider Configuration​ adapter_type: A unique identifier for this adapter, eg. ollama","s":"Remote Provider Specification","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#remote-provider-specification","p":2635},{"i":2645,"t":"Inline providers run locally within the Llama Stack process. Here's an example for a custom vector store provider: module: llama_stack_vector_provider provider_type: inline::llama_stack_vector_provider config_class: llama_stack_vector_provider.config.VectorStoreConfig pip_packages: - faiss-cpu - numpy api_dependencies: - inference optional_api_dependencies: - vector_io provider_data_validator: llama_stack_vector_provider.validator.VectorStoreValidator container_image: custom-vector-store:latest # optional Inline Provider Fields​ container_image: Optional container image to use instead of pip packages","s":"Inline Provider Specification","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#inline-provider-specification","p":2635},{"i":2648,"t":"All providers must contain a get_provider_spec function in their provider module. This is a standardized structure that Llama Stack expects and is necessary for getting things such as the config class. The get_provider_spec method returns a structure identical to the adapter. An example function may look like: from llama_stack.providers.datatypes import ( ProviderSpec, Api, RemoteProviderSpec, ) def get_provider_spec() -> ProviderSpec: return RemoteProviderSpec( api=Api.inference, adapter_type=\"ramalama\", pip_packages=[\"ramalama>=0.8.5\", \"pymilvus\"], config_class=\"ramalama_stack.config.RamalamaImplConfig\", module=\"ramalama_stack\", ) Remote Providers​ Remote providers must expose a get_adapter_impl() function in their module that takes two arguments: config: An instance of the provider's config class deps: A dictionary of API dependencies This function must return an instance of the provider's adapter class that implements the required protocol for the API. Example: async def get_adapter_impl( config: OllamaImplConfig, deps: Dict[Api, Any] ) -> OllamaInferenceAdapter: return OllamaInferenceAdapter(config) Inline Providers​ Inline providers must expose a get_provider_impl() function in their module that takes two arguments: config: An instance of the provider's config class deps: A dictionary of API dependencies Example: async def get_provider_impl( config: VectorStoreConfig, deps: Dict[Api, Any] ) -> VectorStoreImpl: impl = VectorStoreImpl(config, deps[Api.inference]) await impl.initialize() return impl","s":"All Providers","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#all-providers","p":2635},{"i":2650,"t":"The provider package must be installed on the system. For example: $ uv pip show llama-stack-ollama-provider Name: llama-stack-ollama-provider Version: 0.1.0 Location: /path/to/venv/lib/python3.10/site-packages","s":"Dependencies","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#dependencies","p":2635},{"i":2652,"t":"Package Naming: Use the prefix llama-stack-provider- for your provider packages to make them easily identifiable. Version Management: Keep your provider package versioned and compatible with the Llama Stack version you're using. Dependencies: Only include the minimum required dependencies in your provider package. Documentation: Include clear documentation in your provider package about: Installation requirements Configuration options Usage examples Any limitations or known issues Testing: Include tests in your provider package to ensure it works correctly with Llama Stack. You can refer to the integration tests guide for more information. Execute the test for the Provider type you are developing.","s":"Best Practices","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#best-practices","p":2635},{"i":2654,"t":"If your external provider isn't being loaded: Check that module points to a published pip package with a top level provider module including get_provider_spec. Verify that the YAML files are properly formatted. Ensure all required Python packages are installed. Check the Llama Stack server logs for any error messages - turn on debug logging to get more information using LLAMA_STACK_LOGGING=all=debug.","s":"Troubleshooting","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#troubleshooting","p":2635},{"i":2657,"t":"If you are creating a new external provider called llama-stack-provider-ollama here is how you would set up the package properly: First, create the provider package: mkdir -p llama-stack-provider-ollama cd llama-stack-provider-ollama git init uv init Edit pyproject.toml: [project] name = \"llama-stack-provider-ollama\" version = \"0.1.0\" description = \"Ollama provider for Llama Stack\" requires-python = \">=3.12\" dependencies = [\"llama-stack\", \"pydantic\", \"ollama\", \"aiohttp\"] Install the provider: uv pip install -e . Edit provider.py provider.py must be updated to contain get_provider_spec. This is used by llama stack to install the provider. def get_provider_spec() -> ProviderSpec: return RemoteProviderSpec( api=Api.inference, adapter_type=\"llama-stack-provider-ollama\", pip_packages=[\"ollama\", \"aiohttp\"], config_class=\"llama_stack_provider_ollama.config.OllamaImplConfig\", module=\"llama_stack_provider_ollama\", ) Implement the provider as outlined above with get_provider_impl or get_adapter_impl, etc.","s":"How to create an external provider module","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#how-to-create-an-external-provider-module","p":2635},{"i":2659,"t":"ramalama-stack is a recognized external provider that supports installation via module. To install Llama Stack with this external provider a user can provider the following build.yaml: version: 2 distribution_spec: description: Use (an external) Ramalama server for running LLM inference container_image: null providers: inference: - provider_type: remote::ramalama module: ramalama_stack==0.3.0a0 image_type: venv image_name: null additional_pip_packages: - aiosqlite - sqlalchemy[asyncio] No other steps are required beyond installing dependencies with llama stack list-deps | xargs -L1 uv pip install and then running llama stack run. The CLI will use module to install the provider dependencies, retrieve the spec, etc. The provider will now be available in Llama Stack with the type remote::ramalama.","s":"Example using module: ramalama-stack","u":"/v0.3.0/docs/providers/external/external-providers-guide","h":"#example-using-module-ramalama-stack","p":2635},{"i":2661,"t":"Here's a list of known external providers that you can use with Llama Stack: Name Description API Type Repository KubeFlow Training Train models with KubeFlow Post Training Remote llama-stack-provider-kft KubeFlow Pipelines Train models with KubeFlow Pipelines Post Training Inline and Remote llama-stack-provider-kfp-trainer RamaLama Inference models with RamaLama Inference Remote ramalama-stack TrustyAI LM-Eval Evaluate models with TrustyAI LM-Eval Eval Remote llama-stack-provider-lmeval MongoDB VectorIO with MongoDB Vector_IO Remote mongodb-llama-stack","s":"Known External Providers","u":"/v0.3.0/docs/providers/external/external-providers-list","h":"","p":2660},{"i":2664,"t":"Files This API is used to upload documents that can be used with other Llama Stack APIs. This section contains documentation for all available providers for the files API.","s":"Overview","u":"/v0.3.0/docs/providers/files","h":"#overview","p":2662},{"i":2667,"t":"Local filesystem-based file storage provider for managing files and documents locally.","s":"Description","u":"/v0.3.0/docs/providers/files/inline_localfs","h":"#description","p":2665},{"i":2669,"t":"Field Type Required Default Description storage_dir No Directory to store uploaded files metadata_store No SQL store configuration for file metadata ttl_secs No 31536000","s":"Configuration","u":"/v0.3.0/docs/providers/files/inline_localfs","h":"#configuration","p":2665},{"i":2671,"t":"storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/dummy/files} metadata_store: table_name: files_metadata backend: sql_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/files/inline_localfs","h":"#sample-configuration","p":2665},{"i":2674,"t":"AWS S3-based file storage provider for scalable cloud file management with metadata persistence.","s":"Description","u":"/v0.3.0/docs/providers/files/remote_s3","h":"#description","p":2672},{"i":2676,"t":"Field Type Required Default Description bucket_name No S3 bucket name to store files region No us-east-1 AWS region where the bucket is located aws_access_key_id str | None No AWS access key ID (optional if using IAM roles) aws_secret_access_key str | None No AWS secret access key (optional if using IAM roles) endpoint_url str | None No Custom S3 endpoint URL (for MinIO, LocalStack, etc.) auto_create_bucket No False Automatically create the S3 bucket if it doesn't exist metadata_store No SQL store configuration for file metadata","s":"Configuration","u":"/v0.3.0/docs/providers/files/remote_s3","h":"#configuration","p":2672},{"i":2678,"t":"bucket_name: ${env.S3_BUCKET_NAME} region: ${env.AWS_REGION:=us-east-1} aws_access_key_id: ${env.AWS_ACCESS_KEY_ID:=} aws_secret_access_key: ${env.AWS_SECRET_ACCESS_KEY:=} endpoint_url: ${env.S3_ENDPOINT_URL:=} auto_create_bucket: ${env.S3_AUTO_CREATE_BUCKET:=false} metadata_store: table_name: s3_files_metadata backend: sql_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/files/remote_s3","h":"#sample-configuration","p":2672},{"i":2681,"t":"Inference Llama Stack Inference API for generating completions, chat completions, and embeddings. This API provides the raw interface to the underlying models. Two kinds of models are supported: LLM models: these models generate \"raw\" and \"chat\" (conversational) completions. Embedding models: these models generate embeddings to be used for semantic search. This section contains documentation for all available providers for the inference API.","s":"Overview","u":"/v0.3.0/docs/providers/inference","h":"#overview","p":2679},{"i":2684,"t":"Meta's reference implementation of inference with support for various model formats and optimization techniques.","s":"Description","u":"/v0.3.0/docs/providers/inference/inline_meta-reference","h":"#description","p":2682},{"i":2686,"t":"Field Type Required Default Description model str | None No torch_seed int | None No max_seq_len No 4096 max_batch_size No 1 model_parallel_size int | None No create_distributed_process_group No True checkpoint_dir str | None No quantization Bf16QuantizationConfig | Fp8QuantizationConfig | Int4QuantizationConfig, annotation=NoneType, required=True, discriminator='type' No","s":"Configuration","u":"/v0.3.0/docs/providers/inference/inline_meta-reference","h":"#configuration","p":2682},{"i":2688,"t":"model: Llama3.2-3B-Instruct checkpoint_dir: ${env.CHECKPOINT_DIR:=null} quantization: type: ${env.QUANTIZATION_TYPE:=bf16} model_parallel_size: ${env.MODEL_PARALLEL_SIZE:=0} max_batch_size: ${env.MAX_BATCH_SIZE:=1} max_seq_len: ${env.MAX_SEQ_LEN:=4096}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/inline_meta-reference","h":"#sample-configuration","p":2682},{"i":2691,"t":"Sentence Transformers inference provider for text embeddings and similarity search.","s":"Description","u":"/v0.3.0/docs/providers/inference/inline_sentence-transformers","h":"#description","p":2689},{"i":2693,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/inline_sentence-transformers","h":"#sample-configuration","p":2689},{"i":2696,"t":"Anthropic inference provider for accessing Claude models and Anthropic's AI services.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_anthropic","h":"#description","p":2694},{"i":2698,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_anthropic","h":"#configuration","p":2694},{"i":2700,"t":"api_key: ${env.ANTHROPIC_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_anthropic","h":"#sample-configuration","p":2694},{"i":2703,"t":"Azure OpenAI inference provider for accessing GPT models and other Azure services. Provider documentation https://learn.microsoft.com/en-us/azure/ai-foundry/openai/overview","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_azure","h":"#description","p":2701},{"i":2705,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider api_base No Azure API base for Azure (e.g., https://your-resource-name.openai.azure.com) api_version str | None No Azure API version for Azure (e.g., 2024-12-01-preview) api_type str | None No azure Azure API type for Azure (e.g., azure)","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_azure","h":"#configuration","p":2701},{"i":2707,"t":"api_key: ${env.AZURE_API_KEY:=} api_base: ${env.AZURE_API_BASE:=} api_version: ${env.AZURE_API_VERSION:=} api_type: ${env.AZURE_API_TYPE:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_azure","h":"#sample-configuration","p":2701},{"i":2710,"t":"AWS Bedrock inference provider for accessing various AI models through AWS's managed service.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_bedrock","h":"#description","p":2708},{"i":2712,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider aws_access_key_id str | None No The AWS access key to use. Default use environment variable: AWS_ACCESS_KEY_ID aws_secret_access_key str | None No The AWS secret access key to use. Default use environment variable: AWS_SECRET_ACCESS_KEY aws_session_token str | None No The AWS session token to use. Default use environment variable: AWS_SESSION_TOKEN region_name str | None No The default AWS Region to use, for example, us-west-1 or us-west-2.Default use environment variable: AWS_DEFAULT_REGION profile_name str | None No The profile name that contains credentials to use.Default use environment variable: AWS_PROFILE total_max_attempts int | None No An integer representing the maximum number of attempts that will be made for a single request, including the initial attempt. Default use environment variable: AWS_MAX_ATTEMPTS retry_mode str | None No A string representing the type of retries Boto3 will perform.Default use environment variable: AWS_RETRY_MODE connect_timeout float | None No 60.0 The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. read_timeout float | None No 60.0 The time in seconds till a timeout exception is thrown when attempting to read from a connection.The default is 60 seconds. session_ttl int | None No 3600 The time in seconds till a session expires. The default is 3600 seconds (1 hour).","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_bedrock","h":"#configuration","p":2708},{"i":2714,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_bedrock","h":"#sample-configuration","p":2708},{"i":2717,"t":"Cerebras inference provider for running models on Cerebras Cloud platform.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_cerebras","h":"#description","p":2715},{"i":2719,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider base_url No https://api.cerebras.ai Base URL for the Cerebras API","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_cerebras","h":"#configuration","p":2715},{"i":2721,"t":"base_url: https://api.cerebras.ai api_key: ${env.CEREBRAS_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_cerebras","h":"#sample-configuration","p":2715},{"i":2724,"t":"Databricks inference provider for running models on Databricks' unified analytics platform.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_databricks","h":"#description","p":2722},{"i":2726,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_token pydantic.types.SecretStr | None No The Databricks API token url str | None No The URL for the Databricks model serving endpoint","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_databricks","h":"#configuration","p":2722},{"i":2728,"t":"url: ${env.DATABRICKS_HOST:=} api_token: ${env.DATABRICKS_TOKEN:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_databricks","h":"#sample-configuration","p":2722},{"i":2731,"t":"Fireworks AI inference provider for Llama models and other AI models on the Fireworks platform.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_fireworks","h":"#description","p":2729},{"i":2733,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://api.fireworks.ai/inference/v1 The URL for the Fireworks server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_fireworks","h":"#configuration","p":2729},{"i":2735,"t":"url: https://api.fireworks.ai/inference/v1 api_key: ${env.FIREWORKS_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_fireworks","h":"#sample-configuration","p":2729},{"i":2738,"t":"Google Gemini inference provider for accessing Gemini models and Google's AI services.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_gemini","h":"#description","p":2736},{"i":2740,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_gemini","h":"#configuration","p":2736},{"i":2742,"t":"api_key: ${env.GEMINI_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_gemini","h":"#sample-configuration","p":2736},{"i":2745,"t":"Groq inference provider for ultra-fast inference using Groq's LPU technology.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_groq","h":"#description","p":2743},{"i":2747,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://api.groq.com The URL for the Groq AI server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_groq","h":"#configuration","p":2743},{"i":2749,"t":"url: https://api.groq.com api_key: ${env.GROQ_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_groq","h":"#sample-configuration","p":2743},{"i":2752,"t":"HuggingFace Inference Endpoints provider for dedicated model serving.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_hf_endpoint","h":"#description","p":2750},{"i":2754,"t":"Field Type Required Default Description endpoint_name No The name of the Hugging Face Inference Endpoint in the format of '{namespace}/{endpoint_name}' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided. api_token pydantic.types.SecretStr | None No Your Hugging Face user access token (will default to locally saved token if not provided)","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_hf_endpoint","h":"#configuration","p":2750},{"i":2756,"t":"endpoint_name: ${env.INFERENCE_ENDPOINT_NAME} api_token: ${env.HF_API_TOKEN}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_hf_endpoint","h":"#sample-configuration","p":2750},{"i":2759,"t":"HuggingFace Inference API serverless provider for on-demand model inference.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_hf_serverless","h":"#description","p":2757},{"i":2761,"t":"Field Type Required Default Description huggingface_repo No The model ID of the model on the Hugging Face Hub (e.g. 'meta-llama/Meta-Llama-3.1-70B-Instruct') api_token pydantic.types.SecretStr | None No Your Hugging Face user access token (will default to locally saved token if not provided)","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_hf_serverless","h":"#configuration","p":2757},{"i":2763,"t":"huggingface_repo: ${env.INFERENCE_MODEL} api_token: ${env.HF_API_TOKEN}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_hf_serverless","h":"#sample-configuration","p":2757},{"i":2766,"t":"Llama OpenAI-compatible provider for using Llama models with OpenAI API format.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_llama-openai-compat","h":"#description","p":2764},{"i":2768,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider openai_compat_api_base No https://api.llama.com/compat/v1/ The URL for the Llama API server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_llama-openai-compat","h":"#configuration","p":2764},{"i":2770,"t":"openai_compat_api_base: https://api.llama.com/compat/v1/ api_key: ${env.LLAMA_API_KEY}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_llama-openai-compat","h":"#sample-configuration","p":2764},{"i":2773,"t":"NVIDIA inference provider for accessing NVIDIA NIM models and AI services.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_nvidia","h":"#description","p":2771},{"i":2775,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://integrate.api.nvidia.com A base url for accessing the NVIDIA NIM timeout No 60 Timeout for the HTTP requests append_api_version No True When set to false, the API version will not be appended to the base_url. By default, it is true.","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_nvidia","h":"#configuration","p":2771},{"i":2777,"t":"url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com} api_key: ${env.NVIDIA_API_KEY:=} append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_nvidia","h":"#sample-configuration","p":2771},{"i":2780,"t":"Ollama inference provider for running local models through the Ollama runtime.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_ollama","h":"#description","p":2778},{"i":2782,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider url No http://localhost:11434","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_ollama","h":"#configuration","p":2778},{"i":2784,"t":"url: ${env.OLLAMA_URL:=http://localhost:11434}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_ollama","h":"#sample-configuration","p":2778},{"i":2787,"t":"OpenAI inference provider for accessing GPT models and other OpenAI services.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_openai","h":"#description","p":2785},{"i":2789,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider base_url No https://api.openai.com/v1 Base URL for OpenAI API","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_openai","h":"#configuration","p":2785},{"i":2791,"t":"api_key: ${env.OPENAI_API_KEY:=} base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_openai","h":"#sample-configuration","p":2785},{"i":2794,"t":"Passthrough inference provider for connecting to any external inference service not directly supported.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_passthrough","h":"#description","p":2792},{"i":2796,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No API Key for the passthrouth endpoint url No The URL for the passthrough endpoint","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_passthrough","h":"#configuration","p":2792},{"i":2798,"t":"url: ${env.PASSTHROUGH_URL} api_key: ${env.PASSTHROUGH_API_KEY}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_passthrough","h":"#sample-configuration","p":2792},{"i":2801,"t":"RunPod inference provider for running models on RunPod's cloud GPU platform.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_runpod","h":"#description","p":2799},{"i":2803,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_token pydantic.types.SecretStr | None No The API token url str | None No The URL for the Runpod model serving endpoint","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_runpod","h":"#configuration","p":2799},{"i":2805,"t":"url: ${env.RUNPOD_URL:=} api_token: ${env.RUNPOD_API_TOKEN}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_runpod","h":"#sample-configuration","p":2799},{"i":2808,"t":"SambaNova inference provider for running models on SambaNova's dataflow architecture.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_sambanova","h":"#description","p":2806},{"i":2810,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://api.sambanova.ai/v1 The URL for the SambaNova AI server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_sambanova","h":"#configuration","p":2806},{"i":2812,"t":"url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_sambanova","h":"#sample-configuration","p":2806},{"i":2815,"t":"SambaNova OpenAI-compatible provider for using SambaNova models with OpenAI API format.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat","h":"#description","p":2813},{"i":2817,"t":"Field Type Required Default Description api_key str | None No The SambaNova API key openai_compat_api_base No https://api.sambanova.ai/v1 The URL for the SambaNova API server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat","h":"#configuration","p":2813},{"i":2819,"t":"openai_compat_api_base: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_sambanova-openai-compat","h":"#sample-configuration","p":2813},{"i":2822,"t":"Text Generation Inference (TGI) provider for HuggingFace model serving.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_tgi","h":"#description","p":2820},{"i":2824,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider url No The URL for the TGI serving endpoint","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_tgi","h":"#configuration","p":2820},{"i":2826,"t":"url: ${env.TGI_URL:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_tgi","h":"#sample-configuration","p":2820},{"i":2829,"t":"Together AI inference provider for open-source models and collaborative AI development.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_together","h":"#description","p":2827},{"i":2831,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://api.together.xyz/v1 The URL for the Together AI server","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_together","h":"#configuration","p":2827},{"i":2833,"t":"url: https://api.together.xyz/v1 api_key: ${env.TOGETHER_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_together","h":"#sample-configuration","p":2827},{"i":2836,"t":"Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages: • Enterprise-grade security: Uses Google Cloud's security controls and IAM • Better integration: Seamless integration with other Google Cloud services • Advanced features: Access to additional Vertex AI features like model tuning and monitoring • Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys Configuration: Set VERTEX_AI_PROJECT environment variable (required) Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1) Use Google Cloud Application Default Credentials or service account key Authentication Setup: Option 1 (Recommended): gcloud auth application-default login Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path Available Models: vertex_ai/gemini-2.0-flash vertex_ai/gemini-2.5-flash vertex_ai/gemini-2.5-pro","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_vertexai","h":"#description","p":2834},{"i":2838,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider project No Google Cloud project ID for Vertex AI location No us-central1 Google Cloud location for Vertex AI","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_vertexai","h":"#configuration","p":2834},{"i":2840,"t":"project: ${env.VERTEX_AI_PROJECT:=} location: ${env.VERTEX_AI_LOCATION:=us-central1}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_vertexai","h":"#sample-configuration","p":2834},{"i":2843,"t":"Remote vLLM inference provider for connecting to vLLM servers.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_vllm","h":"#description","p":2841},{"i":2845,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_token pydantic.types.SecretStr | None No The API token url str | None No The URL for the vLLM model serving endpoint max_tokens No 4096 Maximum number of tokens to generate. tls_verify bool | str No True Whether to verify TLS certificates. Can be a boolean or a path to a CA certificate file.","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_vllm","h":"#configuration","p":2841},{"i":2847,"t":"url: ${env.VLLM_URL:=} max_tokens: ${env.VLLM_MAX_TOKENS:=4096} api_token: ${env.VLLM_API_TOKEN:=fake} tls_verify: ${env.VLLM_TLS_VERIFY:=true}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_vllm","h":"#sample-configuration","p":2841},{"i":2850,"t":"IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform.","s":"Description","u":"/v0.3.0/docs/providers/inference/remote_watsonx","h":"#description","p":2848},{"i":2852,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider api_key pydantic.types.SecretStr | None No Authentication credential for the provider url No https://us-south.ml.cloud.ibm.com A base url for accessing the watsonx.ai project_id str | None No The watsonx.ai project ID timeout No 60 Timeout for the HTTP requests","s":"Configuration","u":"/v0.3.0/docs/providers/inference/remote_watsonx","h":"#configuration","p":2848},{"i":2854,"t":"url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com} api_key: ${env.WATSONX_API_KEY:=} project_id: ${env.WATSONX_PROJECT_ID:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/inference/remote_watsonx","h":"#sample-configuration","p":2848},{"i":2858,"t":"Llama Stack exposes OpenAI-compatible API endpoints at /v1. So, for a Llama Stack server running locally on port 8321, the full url to the OpenAI-compatible API endpoint is http://localhost:8321/v1.","s":"Server path","u":"/v0.3.0/docs/providers/openai","h":"#server-path","p":2855},{"i":2860,"t":"You should be able to use any client that speaks OpenAI APIs with Llama Stack. We regularly test with the official Llama Stack clients as well as OpenAI's official Python client. Llama Stack Client​ When using the Llama Stack client, set the base_url to the root of your Llama Stack server. It will automatically route OpenAI-compatible requests to the right server endpoint for you. from llama_stack_client import LlamaStackClient client = LlamaStackClient(base_url=\"http://localhost:8321\") OpenAI Client​ When using an OpenAI client, set the base_url to the /v1 path on your Llama Stack server. from openai import OpenAI client = OpenAI(base_url=\"http://localhost:8321/v1\", api_key=\"none\") Regardless of the client you choose, the following code examples should all work the same.","s":"Clients","u":"/v0.3.0/docs/providers/openai","h":"#clients","p":2855},{"i":2862,"t":"Models​ Many of the APIs require you to pass in a model parameter. To see the list of models available in your Llama Stack server: models = client.models.list() Responses​ Note: The Responses API implementation is still in active development. While it is quite usable, there are still unimplemented parts of the API. See Known Limitations of the OpenAI-compatible Responses API in Llama Stack for more details. Simple inference​ Request: response = client.responses.create( model=\"meta-llama/Llama-3.2-3B-Instruct\", input=\"Write a haiku about coding.\" ) print(response.output_text) Example output: Pixels dancing slow Syntax whispers secrets sweet Code's gentle silence Structured Output​ Request: response = client.responses.create( model=\"meta-llama/Llama-3.2-3B-Instruct\", input=[ { \"role\": \"system\", \"content\": \"Extract the participants from the event information.\", }, { \"role\": \"user\", \"content\": \"Alice and Bob are going to a science fair on Friday.\", }, ], text={ \"format\": { \"type\": \"json_schema\", \"name\": \"participants\", \"schema\": { \"type\": \"object\", \"properties\": { \"participants\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}} }, \"required\": [\"participants\"], }, } }, ) print(response.output_text) Example output: { \"participants\": [\"Alice\", \"Bob\"] } Chat Completions​ Simple inference​ Request: chat_completion = client.chat.completions.create( model=\"meta-llama/Llama-3.2-3B-Instruct\", messages=[{\"role\": \"user\", \"content\": \"Write a haiku about coding.\"}], ) print(chat_completion.choices[0].message.content) Example output: Lines of code unfold Logic flows like a river Code's gentle beauty Structured Output​ Request: chat_completion = client.chat.completions.create( model=\"meta-llama/Llama-3.2-3B-Instruct\", messages=[ { \"role\": \"system\", \"content\": \"Extract the participants from the event information.\", }, { \"role\": \"user\", \"content\": \"Alice and Bob are going to a science fair on Friday.\", }, ], response_format={ \"type\": \"json_schema\", \"json_schema\": { \"name\": \"participants\", \"schema\": { \"type\": \"object\", \"properties\": { \"participants\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}} }, \"required\": [\"participants\"], }, }, }, ) print(chat_completion.choices[0].message.content) Example output: { \"participants\": [\"Alice\", \"Bob\"] } Completions​ Simple inference​ Request: completion = client.completions.create( model=\"meta-llama/Llama-3.2-3B-Instruct\", prompt=\"Write a haiku about coding.\" ) print(completion.choices[0].text) Example output: Lines of code unfurl Logic whispers in the dark Art in hidden form","s":"APIs implemented","u":"/v0.3.0/docs/providers/openai","h":"#apis-implemented","p":2855},{"i":2865,"t":"This document outlines known limitations and inconsistencies between Llama Stack's Responses API and OpenAI's Responses API. This comparison is based on OpenAI's API and reflects a comparison with the OpenAI APIs as of October 6, 2025 (OpenAI's client version openai==1.107). See the OpenAI changelog for details of any new functionality that has been added since that date. Links to issues are included so readers can read about status, post comments, and/or subscribe for updates relating to any limitations that are of specific interest to them. We would also love any other feedback on any use-cases you try that do not work to help prioritize the pieces left to implement. Please open new issues in the meta-llama/llama-stack GitHub repository with details of anything that does not work that does not already have an open issue.","s":"Unresolved Issues","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#unresolved-issues","p":2863},{"i":2867,"t":"Status: Partial Implementation + Work in Progress Issue: #3566 In Llama Stack, the instructions parameter is already implemented for creating a response, but it is not yet included in the output response object.","s":"Instructions","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#instructions","p":2863},{"i":2869,"t":"Status: Partial Implementation Issue: #2364 Streaming functionality for the Responses API is partially implemented and does work to some extent, but some streaming response objects that would be needed for full compatibility are still missing.","s":"Streaming","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#streaming","p":2863},{"i":2871,"t":"Status: Partial Implementation Issue: #3321 OpenAI's platform supports templated prompts using a structured language. These templates can be stored server-side for organizational sharing. This feature is under development for Llama Stack.","s":"Prompt Templates","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#prompt-templates","p":2863},{"i":2873,"t":"Status: Partial Implementation Both OpenAI and Llama Stack support a web-search built-in tool. The OpenAI documentation for web search tool in a Responses tool list says: The type of the web search tool. One of web_search or web_search_2025_08_26. In contrast, the Llama Stack documentation says that the allowed values for type for web search are MOD1, MOD2 and MOD3. Is that correct? If so, what are the meanings of each of them? It might make sense for the allowed values for OpenAI map to some values for Llama Stack so that code written to the OpenAI specification also work with Llama Stack. The OpenAI web search tool also has fields for filters and user_location which are not documented as options for Llama Stack. If feasible, it would be good to support these too.","s":"Web-search tool compatibility","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#web-search-tool-compatibility","p":2863},{"i":2875,"t":"Status: Partial Implementation OpenAI's Responses API includes an ecosystem of built-in tools (e.g., code interpreter) that lower the barrier to entry for agentic workflows. These tools are typically aligned with specific model training. Current Status in Llama Stack: Some built-in tools exist (file search, web search) Missing tools include code interpreter, computer use, and image generation Some built-in tools may require additional APIs (e.g., containers API for code interpreter) It's unclear whether there is demand for additional built-in tools in Llama Stack. No upstream issues have been filed for adding more built-in tools.","s":"Other built-in Tools","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#other-built-in-tools","p":2863},{"i":2877,"t":"Status: Not Working Response branching, as discussed in the Agents vs OpenAI Responses API documentation, is not currently functional.","s":"Response Branching","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#response-branching","p":2863},{"i":2879,"t":"Status: Not Implemented The include parameter allows you to provide a list of values that indicate additional information for the system to include in the model response. The OpenAI API specifies the following allowed values for this parameter. web_search_call.action.sources code_interpreter_call.outputs computer_call_output.output.image_url file_search_call.results message.input_image.image_url message.output_text.logprobs reasoning.encrypted_content Some of these are not relevant to Llama Stack in its current form. For example, code interpreter is not implemented (see \"Built-in tools\" below), so code_interpreter_call.outputs would not be a useful directive to Llama Stack. However, others might be useful. For example, message.output_text.logprobs can be useful for assessing how confident a model is in each token of its output.","s":"Include","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#include","p":2863},{"i":2881,"t":"Status: Not Implemented Issue: #3548 In OpenAI's API, the tool_choice parameter allows you to set restrictions or requirements for which tools should be used when generating a response. This feature is not implemented in Llama Stack.","s":"Tool Choice","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#tool-choice","p":2863},{"i":2883,"t":"Status: Not Implemented OpenAI's platform allows users to track agentic users using a safety identifier passed with each response. When requests violate moderation or safety rules, account holders are alerted and automated actions can be taken. This capability is not currently available in Llama Stack.","s":"Safety Identification and Tracking","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#safety-identification-and-tracking","p":2863},{"i":2885,"t":"Status: Not Implemented Connectors are MCP servers maintained and managed by the Responses API provider. OpenAI has documented their connectors at https://platform.openai.com/docs/guides/tools-connectors-mcp. Open Questions: Should Llama Stack include built-in support for some, all, or none of OpenAI's connectors? Should there be a mechanism for administrators to add custom connectors via run.yaml or an API?","s":"Connectors","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#connectors","p":2863},{"i":2887,"t":"Status: Partially Implemented The reasoning object in the output of Responses works for inference providers such as vLLM that output reasoning traces in chat completions requests. It does not work for other providers such as OpenAI's hosted service. See #3551 for more details.","s":"Reasoning","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#reasoning","p":2863},{"i":2889,"t":"Status: Not Implemented Issue: #3550 Responses has a field service_tier that can be used to prioritize access to inference resources. Not all inference providers have such a concept, but Llama Stack pass through this value for those providers that do. Currently it does not.","s":"Service Tier","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#service-tier","p":2863},{"i":2891,"t":"Status: Not Implemented Issue: #3552 The top_logprobs parameter from OpenAI's Responses API extends the functionality obtained by including message.output_text.logprobs in the include parameter list (as discussed in the Include section above). It enables users to also get logprobs for alternative tokens.","s":"Top Logprobs","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#top-logprobs","p":2863},{"i":2893,"t":"Status: Not Implemented Issue: #3563 The Responses API can accept a max_tool_calls parameter that limits the number of tool calls allowed to be executed for a given response. This feature needs full implementation and documentation.","s":"Max Tool Calls","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#max-tool-calls","p":2863},{"i":2895,"t":"Status: Not Implemented Issue: #3562 The max_output_tokens field limits how many tokens the model is allowed to generate (for both reasoning and output combined). It is not implemented in Llama Stack.","s":"Max Output Tokens","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#max-output-tokens","p":2863},{"i":2897,"t":"Status: Not Implemented Issue: #3567 The return object from a call to Responses includes a field for indicating why a response is incomplete if it is. For example, if the model stops generating because it has reached the specified max output tokens (see above), this field should be set to \"IncompleteDetails(reason='max_output_tokens')\". This is not implemented in Llama Stack.","s":"Incomplete Details","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#incomplete-details","p":2863},{"i":2899,"t":"Status: Not Implemented Issue: #3564 Metadata allows you to attach additional information to a response for your own reference and tracking. It is not implemented in Llama Stack.","s":"Metadata","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#metadata","p":2863},{"i":2901,"t":"Status: Not Implemented Issue: #3568 Background mode in OpenAI Responses lets you start a response generation job and then check back in on it later. This is useful if you might lose a connection during a generation and want to reconnect later and get the response back (for example if the client is running in a mobile app). It is not implemented in Llama Stack.","s":"Background","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#background","p":2863},{"i":2903,"t":"Status: Feature Request When calling the OpenAI Responses API, model outputs go through safety models configured by OpenAI administrators. Perhaps Llama Stack should provide a mechanism to configure safety models (or non-model logic) for all Responses requests, either through run.yaml or an administrative API.","s":"Global Guardrails","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#global-guardrails","p":2863},{"i":2905,"t":"Status: Feature Request Issue: #3325 OpenAI has not released a way for users to configure their own guardrails. However, Llama Stack users may want this capability to complement or replace global guardrails. This could be implemented as a non-breaking, additive difference from the OpenAI API.","s":"User-Controlled Guardrails","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#user-controlled-guardrails","p":2863},{"i":2907,"t":"Status: Unknown Elicitations allow MCP servers to request additional information from users through the client during interactions (e.g., a tool requesting a username before proceeding). See the MCP specification for details. Open Questions: Does this work in OpenAI's Responses API reference implementation? If not, is there a reasonable way to make that work within the API as is? Or would the API need to change? Does this work in Llama Stack?","s":"MCP Elicitations","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#mcp-elicitations","p":2863},{"i":2909,"t":"Status: Unknown Sampling allows MCP tools to query the generative AI model. See the MCP specification for details. Open Questions: Does this work in OpenAI's Responses API reference implementation? If not, is there a reasonable way to make that work within the API as is? Or would the API need to change? Does this work in Llama Stack?","s":"MCP Sampling","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#mcp-sampling","p":2863},{"i":2911,"t":"Status: Unknown OpenAI provides a prompt caching mechanism in Responses that is enabled for its most recent models. Open Questions: Does this work in Llama Stack? If not, is there a reasonable way to make that work for those inference providers that have this capability by passing through the provided prompt_cache_key to the inference provider? Is there a reasonable way to make that work for inference providers that don't build in this capability by doing some sort of caching at the Llama Stack layer?","s":"Prompt Caching","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#prompt-caching","p":2863},{"i":2913,"t":"Status: Rumored Issue There are reports that parallel_tool_calls may not work correctly. This needs verification and a ticket should be opened if confirmed.","s":"Parallel Tool Calls","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#parallel-tool-calls","p":2863},{"i":2915,"t":"The following limitations have been addressed in recent releases:","s":"Resolved Issues","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#resolved-issues","p":2863},{"i":2917,"t":"Status: ✅ Resolved MCP and function tools now work correctly even when they have no arguments.","s":"MCP and Function Tools with No Arguments","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#mcp-and-function-tools-with-no-arguments","p":2863},{"i":2919,"t":"Status: ✅ Resolved The require_approval parameter for MCP tools in the Responses API now works correctly.","s":"require_approval Parameter for MCP Tools","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#require_approval-parameter-for-mcp-tools","p":2863},{"i":2921,"t":"Status: ✅ Resolved Fixed in: #3003 (Agent API), #3602 (Responses API) MCP tools now correctly handle array-type arguments in both the Agent API and Responses API.","s":"MCP Tools with Array-Type Arguments","u":"/v0.3.0/docs/providers/openai_responses_limitations","h":"#mcp-tools-with-array-type-arguments","p":2863},{"i":2924,"t":"This section contains documentation for all available providers for the post_training API.","s":"Overview","u":"/v0.3.0/docs/providers/post_training","h":"#overview","p":2922},{"i":2927,"t":"HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_huggingface","h":"#description","p":2925},{"i":2929,"t":"Field Type Required Default Description device No cuda distributed_backend Literal['fsdp', 'deepspeed' No checkpoint_format Literal['full_state', 'huggingface' No huggingface chat_template No `< user model_specific_config No {'trust_remote_code': True, 'attn_implementation': 'sdpa'} max_seq_length No 2048 gradient_checkpointing No False save_total_limit No 3 logging_steps No 10 warmup_ratio No 0.1 weight_decay No 0.01 dataloader_num_workers No 4 dataloader_pin_memory No True dpo_beta No 0.1 use_reference_model No True dpo_loss_type Literal['sigmoid', 'hinge', 'ipo', 'kto_pair' No sigmoid dpo_output_dir No","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface","h":"#configuration","p":2925},{"i":2931,"t":"checkpoint_format: huggingface distributed_backend: null device: cpu dpo_output_dir: ~/.llama/dummy/dpo_output","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface","h":"#sample-configuration","p":2925},{"i":2934,"t":"HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-cpu","h":"#description","p":2932},{"i":2936,"t":"Field Type Required Default Description device No cuda distributed_backend Literal['fsdp', 'deepspeed' No checkpoint_format Literal['full_state', 'huggingface' No huggingface chat_template No `< user model_specific_config No {'trust_remote_code': True, 'attn_implementation': 'sdpa'} max_seq_length No 2048 gradient_checkpointing No False save_total_limit No 3 logging_steps No 10 warmup_ratio No 0.1 weight_decay No 0.01 dataloader_num_workers No 4 dataloader_pin_memory No True dpo_beta No 0.1 use_reference_model No True dpo_loss_type Literal['sigmoid', 'hinge', 'ipo', 'kto_pair' No sigmoid dpo_output_dir No","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-cpu","h":"#configuration","p":2932},{"i":2938,"t":"checkpoint_format: huggingface distributed_backend: null device: cpu dpo_output_dir: ~/.llama/dummy/dpo_output","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-cpu","h":"#sample-configuration","p":2932},{"i":2941,"t":"HuggingFace-based post-training provider for fine-tuning models using the HuggingFace ecosystem.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-gpu","h":"#description","p":2939},{"i":2943,"t":"Field Type Required Default Description device No cuda distributed_backend Literal['fsdp', 'deepspeed' No checkpoint_format Literal['full_state', 'huggingface' No huggingface chat_template No `< user model_specific_config No {'trust_remote_code': True, 'attn_implementation': 'sdpa'} max_seq_length No 2048 gradient_checkpointing No False save_total_limit No 3 logging_steps No 10 warmup_ratio No 0.1 weight_decay No 0.01 dataloader_num_workers No 4 dataloader_pin_memory No True dpo_beta No 0.1 use_reference_model No True dpo_loss_type Literal['sigmoid', 'hinge', 'ipo', 'kto_pair' No sigmoid dpo_output_dir No","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-gpu","h":"#configuration","p":2939},{"i":2945,"t":"checkpoint_format: huggingface distributed_backend: null device: cpu dpo_output_dir: ~/.llama/dummy/dpo_output","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_huggingface-gpu","h":"#sample-configuration","p":2939},{"i":2948,"t":"TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_torchtune","h":"#description","p":2946},{"i":2950,"t":"Field Type Required Default Description torch_seed int | None No checkpoint_format Literal['meta', 'huggingface' No meta","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune","h":"#configuration","p":2946},{"i":2952,"t":"checkpoint_format: meta","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune","h":"#sample-configuration","p":2946},{"i":2955,"t":"TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-cpu","h":"#description","p":2953},{"i":2957,"t":"Field Type Required Default Description torch_seed int | None No checkpoint_format Literal['meta', 'huggingface' No meta","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-cpu","h":"#configuration","p":2953},{"i":2959,"t":"checkpoint_format: meta","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-cpu","h":"#sample-configuration","p":2953},{"i":2962,"t":"TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.","s":"Description","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-gpu","h":"#description","p":2960},{"i":2964,"t":"Field Type Required Default Description torch_seed int | None No checkpoint_format Literal['meta', 'huggingface' No meta","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-gpu","h":"#configuration","p":2960},{"i":2966,"t":"checkpoint_format: meta","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/inline_torchtune-gpu","h":"#sample-configuration","p":2960},{"i":2969,"t":"NVIDIA's post-training provider for fine-tuning models on NVIDIA's platform.","s":"Description","u":"/v0.3.0/docs/providers/post_training/remote_nvidia","h":"#description","p":2967},{"i":2971,"t":"Field Type Required Default Description api_key str | None No The NVIDIA API key. dataset_namespace str | None No default The NVIDIA dataset namespace. project_id str | None No test-example-model@v1 The NVIDIA project ID. customizer_url str | None No Base URL for the NeMo Customizer API timeout No 300 Timeout for the NVIDIA Post Training API max_retries No 3 Maximum number of retries for the NVIDIA Post Training API output_model_dir No test-example-model@v1 Directory to save the output model","s":"Configuration","u":"/v0.3.0/docs/providers/post_training/remote_nvidia","h":"#configuration","p":2967},{"i":2973,"t":"api_key: ${env.NVIDIA_API_KEY:=} dataset_namespace: ${env.NVIDIA_DATASET_NAMESPACE:=default} project_id: ${env.NVIDIA_PROJECT_ID:=test-project} customizer_url: ${env.NVIDIA_CUSTOMIZER_URL:=http://nemo.test}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/post_training/remote_nvidia","h":"#sample-configuration","p":2967},{"i":2976,"t":"Safety OpenAI-compatible Moderations API. This section contains documentation for all available providers for the safety API.","s":"Overview","u":"/v0.3.0/docs/providers/safety","h":"#overview","p":2974},{"i":2979,"t":"Code Scanner safety provider for detecting security vulnerabilities and unsafe code patterns.","s":"Description","u":"/v0.3.0/docs/providers/safety/inline_code-scanner","h":"#description","p":2977},{"i":2981,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/inline_code-scanner","h":"#sample-configuration","p":2977},{"i":2984,"t":"Llama Guard safety provider for content moderation and safety filtering using Meta's Llama Guard model.","s":"Description","u":"/v0.3.0/docs/providers/safety/inline_llama-guard","h":"#description","p":2982},{"i":2986,"t":"Field Type Required Default Description excluded_categories list[str No []","s":"Configuration","u":"/v0.3.0/docs/providers/safety/inline_llama-guard","h":"#configuration","p":2982},{"i":2988,"t":"excluded_categories: []","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/inline_llama-guard","h":"#sample-configuration","p":2982},{"i":2991,"t":"Prompt Guard safety provider for detecting and filtering unsafe prompts and content.","s":"Description","u":"/v0.3.0/docs/providers/safety/inline_prompt-guard","h":"#description","p":2989},{"i":2993,"t":"Field Type Required Default Description guard_type No injection","s":"Configuration","u":"/v0.3.0/docs/providers/safety/inline_prompt-guard","h":"#configuration","p":2989},{"i":2995,"t":"guard_type: injection","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/inline_prompt-guard","h":"#sample-configuration","p":2989},{"i":2998,"t":"AWS Bedrock safety provider for content moderation using AWS's safety services.","s":"Description","u":"/v0.3.0/docs/providers/safety/remote_bedrock","h":"#description","p":2996},{"i":3000,"t":"Field Type Required Default Description allowed_models list[str | None No List of models that should be registered with the model registry. If None, all models are allowed. refresh_models No False Whether to refresh models periodically from the provider aws_access_key_id str | None No The AWS access key to use. Default use environment variable: AWS_ACCESS_KEY_ID aws_secret_access_key str | None No The AWS secret access key to use. Default use environment variable: AWS_SECRET_ACCESS_KEY aws_session_token str | None No The AWS session token to use. Default use environment variable: AWS_SESSION_TOKEN region_name str | None No The default AWS Region to use, for example, us-west-1 or us-west-2.Default use environment variable: AWS_DEFAULT_REGION profile_name str | None No The profile name that contains credentials to use.Default use environment variable: AWS_PROFILE total_max_attempts int | None No An integer representing the maximum number of attempts that will be made for a single request, including the initial attempt. Default use environment variable: AWS_MAX_ATTEMPTS retry_mode str | None No A string representing the type of retries Boto3 will perform.Default use environment variable: AWS_RETRY_MODE connect_timeout float | None No 60.0 The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. read_timeout float | None No 60.0 The time in seconds till a timeout exception is thrown when attempting to read from a connection.The default is 60 seconds. session_ttl int | None No 3600 The time in seconds till a session expires. The default is 3600 seconds (1 hour).","s":"Configuration","u":"/v0.3.0/docs/providers/safety/remote_bedrock","h":"#configuration","p":2996},{"i":3002,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/remote_bedrock","h":"#sample-configuration","p":2996},{"i":3005,"t":"NVIDIA's safety provider for content moderation and safety filtering.","s":"Description","u":"/v0.3.0/docs/providers/safety/remote_nvidia","h":"#description","p":3003},{"i":3007,"t":"Field Type Required Default Description guardrails_service_url No http://0.0.0.0:7331 The url for accessing the Guardrails service config_id str | None No self-check Guardrails configuration ID to use from the Guardrails configuration store","s":"Configuration","u":"/v0.3.0/docs/providers/safety/remote_nvidia","h":"#configuration","p":3003},{"i":3009,"t":"guardrails_service_url: ${env.GUARDRAILS_SERVICE_URL:=http://localhost:7331} config_id: ${env.NVIDIA_GUARDRAILS_CONFIG_ID:=self-check}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/remote_nvidia","h":"#sample-configuration","p":3003},{"i":3012,"t":"SambaNova's safety provider for content moderation and safety filtering.","s":"Description","u":"/v0.3.0/docs/providers/safety/remote_sambanova","h":"#description","p":3010},{"i":3014,"t":"Field Type Required Default Description url No https://api.sambanova.ai/v1 The URL for the SambaNova AI server api_key pydantic.types.SecretStr | None No The SambaNova cloud API Key","s":"Configuration","u":"/v0.3.0/docs/providers/safety/remote_sambanova","h":"#configuration","p":3010},{"i":3016,"t":"url: https://api.sambanova.ai/v1 api_key: ${env.SAMBANOVA_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/safety/remote_sambanova","h":"#sample-configuration","p":3010},{"i":3019,"t":"This section contains documentation for all available providers for the scoring API.","s":"Overview","u":"/v0.3.0/docs/providers/scoring","h":"#overview","p":3017},{"i":3022,"t":"Basic scoring provider for simple evaluation metrics and scoring functions.","s":"Description","u":"/v0.3.0/docs/providers/scoring/inline_basic","h":"#description","p":3020},{"i":3024,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/scoring/inline_basic","h":"#sample-configuration","p":3020},{"i":3027,"t":"Braintrust scoring provider for evaluation and scoring using the Braintrust platform.","s":"Description","u":"/v0.3.0/docs/providers/scoring/inline_braintrust","h":"#description","p":3025},{"i":3029,"t":"Field Type Required Default Description openai_api_key str | None No The OpenAI API Key","s":"Configuration","u":"/v0.3.0/docs/providers/scoring/inline_braintrust","h":"#configuration","p":3025},{"i":3031,"t":"openai_api_key: ${env.OPENAI_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/scoring/inline_braintrust","h":"#sample-configuration","p":3025},{"i":3034,"t":"LLM-as-judge scoring provider that uses language models to evaluate and score responses.","s":"Description","u":"/v0.3.0/docs/providers/scoring/inline_llm-as-judge","h":"#description","p":3032},{"i":3036,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/scoring/inline_llm-as-judge","h":"#sample-configuration","p":3032},{"i":3039,"t":"This section contains documentation for all available providers for the telemetry API.","s":"Overview","u":"/v0.3.0/docs/providers/telemetry","h":"#overview","p":3037},{"i":3042,"t":"Meta's reference implementation of telemetry and observability using OpenTelemetry.","s":"Description","u":"/v0.3.0/docs/providers/telemetry/inline_meta-reference","h":"#description","p":3040},{"i":3044,"t":"Field Type Required Default Description otel_exporter_otlp_endpoint str | None No The OpenTelemetry collector endpoint URL (base URL for traces, metrics, and logs). If not set, the SDK will use OTEL_EXPORTER_OTLP_ENDPOINT environment variable. service_name No ​ The service name to use for telemetry sinks list[inline.telemetry.meta_reference.config.TelemetrySink No [] List of telemetry sinks to enable (possible values: otel_trace, otel_metric, console)","s":"Configuration","u":"/v0.3.0/docs/providers/telemetry/inline_meta-reference","h":"#configuration","p":3040},{"i":3046,"t":"service_name: \"${env.OTEL_SERVICE_NAME:=\\u200B}\" sinks: ${env.TELEMETRY_SINKS:=} otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/telemetry/inline_meta-reference","h":"#sample-configuration","p":3040},{"i":3049,"t":"This section contains documentation for all available providers for the tool_runtime API.","s":"Overview","u":"/v0.3.0/docs/providers/tool_runtime","h":"#overview","p":3047},{"i":3052,"t":"RAG (Retrieval-Augmented Generation) tool runtime for document ingestion, chunking, and semantic search.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime","h":"#description","p":3050},{"i":3054,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/inline_rag-runtime","h":"#sample-configuration","p":3050},{"i":3057,"t":"Bing Search tool for web search capabilities using Microsoft's search engine.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/remote_bing-search","h":"#description","p":3055},{"i":3059,"t":"Field Type Required Default Description api_key str | None No top_k No 3","s":"Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_bing-search","h":"#configuration","p":3055},{"i":3061,"t":"api_key: ${env.BING_API_KEY:}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_bing-search","h":"#sample-configuration","p":3055},{"i":3064,"t":"Brave Search tool for web search capabilities with privacy-focused results.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/remote_brave-search","h":"#description","p":3062},{"i":3066,"t":"Field Type Required Default Description api_key str | None No The Brave Search API Key max_results No 3 The maximum number of results to return","s":"Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_brave-search","h":"#configuration","p":3062},{"i":3068,"t":"api_key: ${env.BRAVE_SEARCH_API_KEY:=} max_results: 3","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_brave-search","h":"#sample-configuration","p":3062},{"i":3071,"t":"Model Context Protocol (MCP) tool for standardized tool calling and context management.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol","h":"#description","p":3069},{"i":3073,"t":"{}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_model-context-protocol","h":"#sample-configuration","p":3069},{"i":3076,"t":"Tavily Search tool for AI-optimized web search with structured results.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/remote_tavily-search","h":"#description","p":3074},{"i":3078,"t":"Field Type Required Default Description api_key str | None No The Tavily Search API Key max_results No 3 The maximum number of results to return","s":"Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_tavily-search","h":"#configuration","p":3074},{"i":3080,"t":"api_key: ${env.TAVILY_SEARCH_API_KEY:=} max_results: 3","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_tavily-search","h":"#sample-configuration","p":3074},{"i":3083,"t":"Wolfram Alpha tool for computational knowledge and mathematical calculations.","s":"Description","u":"/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha","h":"#description","p":3081},{"i":3085,"t":"Field Type Required Default Description api_key str | None No","s":"Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha","h":"#configuration","p":3081},{"i":3087,"t":"api_key: ${env.WOLFRAM_ALPHA_API_KEY:=}","s":"Sample Configuration","u":"/v0.3.0/docs/providers/tool_runtime/remote_wolfram-alpha","h":"#sample-configuration","p":3081},{"i":3090,"t":"This section contains documentation for all available providers for the vector_io API.","s":"Overview","u":"/v0.3.0/docs/providers/vector_io","h":"#overview","p":3088},{"i":3093,"t":"Chroma is an inline and remote vector database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database. That means you're not limited to storing vectors in memory or in a separate service.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#description","p":3091},{"i":3095,"t":"Chroma supports: Store embeddings and their metadata Vector search Full-text search Document storage Metadata filtering Multi-modal retrieval","s":"Features","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#features","p":3091},{"i":3097,"t":"To use Chrome in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use chroma. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#usage","p":3091},{"i":3099,"t":"You can install chroma using pip: pip install chromadb","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#installation","p":3091},{"i":3101,"t":"See Chroma's documentation for more details about Chroma in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#documentation","p":3091},{"i":3103,"t":"Field Type Required Default Description db_path No persistence No Config for KV store backend","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#configuration","p":3091},{"i":3105,"t":"db_path: ${env.CHROMADB_PATH} persistence: namespace: vector_io::chroma backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_chromadb","h":"#sample-configuration","p":3091},{"i":3108,"t":"Faiss is an inline vector database provider for Llama Stack. It allows you to store and query vectors directly in memory. That means you'll get fast and efficient vector retrieval.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#description","p":3106},{"i":3110,"t":"Lightweight and easy to use Fully integrated with Llama Stack GPU support Vector search - FAISS supports pure vector similarity search using embeddings","s":"Features","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#features","p":3106},{"i":3112,"t":"Supported: Vector Search (mode=\"vector\"): Performs vector similarity search using embeddings Not Supported: Keyword Search (mode=\"keyword\"): Not supported by FAISS Hybrid Search (mode=\"hybrid\"): Not supported by FAISS Note: FAISS is designed as a pure vector similarity search library. See the FAISS GitHub repository for more details about FAISS's core functionality.","s":"Search Modes","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#search-modes","p":3106},{"i":3114,"t":"To use Faiss in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use Faiss. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#usage","p":3106},{"i":3116,"t":"You can install Faiss using pip: pip install faiss-cpu","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#installation","p":3106},{"i":3118,"t":"See Faiss' documentation or the Faiss Wiki for more details about Faiss in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#documentation","p":3106},{"i":3120,"t":"Field Type Required Default Description persistence No","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#configuration","p":3106},{"i":3122,"t":"persistence: namespace: vector_io::faiss backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_faiss","h":"#sample-configuration","p":3106},{"i":3125,"t":"Meta's reference implementation of a vector database.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_meta-reference","h":"#description","p":3123},{"i":3127,"t":"Field Type Required Default Description persistence No","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_meta-reference","h":"#configuration","p":3123},{"i":3129,"t":"persistence: namespace: vector_io::faiss backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_meta-reference","h":"#sample-configuration","p":3123},{"i":3131,"t":"warning Please use the inline::faiss provider instead.","s":"Deprecation Notice","u":"/v0.3.0/docs/providers/vector_io/inline_meta-reference","h":"#deprecation-notice","p":3123},{"i":3134,"t":"Please refer to the remote provider documentation.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_milvus","h":"#description","p":3132},{"i":3136,"t":"Field Type Required Default Description db_path No persistence No Config for KV store backend (SQLite only for now) consistency_level No Strong The consistency level of the Milvus server","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_milvus","h":"#configuration","p":3132},{"i":3138,"t":"db_path: ${env.MILVUS_DB_PATH:=~/.llama/dummy}/milvus.db persistence: namespace: vector_io::milvus backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_milvus","h":"#sample-configuration","p":3132},{"i":3141,"t":"Qdrant is an inline and remote vector database provider for Llama Stack. It allows you to store and query vectors directly in memory. That means you'll get fast and efficient vector retrieval. By default, Qdrant stores vectors in RAM, delivering incredibly fast access for datasets that fit comfortably in memory. But when your dataset exceeds RAM capacity, Qdrant offers Memmap as an alternative. [An Introduction to Vector Databases]","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#description","p":3139},{"i":3143,"t":"Lightweight and easy to use Fully integrated with Llama Stack Apache 2.0 license terms Store embeddings and their metadata Supports search by Keyword and Hybrid search Multilingual and Multimodal retrieval Medatata filtering GPU support","s":"Features","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#features","p":3139},{"i":3145,"t":"To use Qdrant in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use Qdrant. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#usage","p":3139},{"i":3147,"t":"You can install Qdrant using docker: docker pull qdrant/qdrant","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#installation","p":3139},{"i":3149,"t":"See the Qdrant documentation for more details about Qdrant in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#documentation","p":3139},{"i":3151,"t":"Field Type Required Default Description path No persistence No","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#configuration","p":3139},{"i":3153,"t":"path: ${env.QDRANT_PATH:=~/.llama/~/.llama/dummy}/qdrant.db persistence: namespace: vector_io::qdrant backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_qdrant","h":"#sample-configuration","p":3139},{"i":3156,"t":"SQLite-Vec is an inline vector database provider for Llama Stack. It allows you to store and query vectors directly within an SQLite database. That means you're not limited to storing vectors in memory or in a separate service.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#description","p":3154},{"i":3158,"t":"Lightweight and easy to use Fully integrated with Llama Stacks Uses disk-based storage for persistence, allowing for larger vector storage","s":"Features","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#features","p":3154},{"i":3160,"t":"The choice between Faiss and sqlite-vec should be made based on the needs of your application, as they have different strengths. Choosing the Right Provider​ Scenario Recommended Tool Reason Online Analytical Processing (OLAP) Faiss Fast, in-memory searches Online Transaction Processing (OLTP) sqlite-vec Frequent writes and reads Frequent writes sqlite-vec Efficient disk-based storage and incremental indexing Large datasets sqlite-vec Disk-based storage for larger vector storage Datasets that can fit in memory, frequent reads Faiss Optimized for speed, indexing, and GPU acceleration Empirical Example​ Consider the histogram below in which 10,000 randomly generated strings were inserted in batches of 100 into both Faiss and sqlite-vec using client.tool_runtime.rag_tool.insert(). :alt: Comparison of SQLite-Vec and Faiss write times :width: 400px You will notice that the average write time for sqlite-vec was 788ms, compared to 47,640ms for Faiss. While the number is jarring, if you look at the distribution, you can see that it is rather uniformly spread across the [1500, 100000] interval. Looking at each individual write in the order that the documents are inserted you'll see the increase in write speed as Faiss reindexes the vectors after each write. :alt: Comparison of SQLite-Vec and Faiss write times :width: 400px In comparison, the read times for Faiss was on average 10% faster than sqlite-vec. The modes of the two distributions highlight the differences much further where Faiss will likely yield faster read performance. :alt: Comparison of SQLite-Vec and Faiss read times :width: 400px","s":"Comparison to Faiss","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#comparison-to-faiss","p":3154},{"i":3162,"t":"To use sqlite-vec in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use SQLite-Vec. Start storing and querying vectors. The SQLite-vec provider supports three search modes: Vector Search (mode=\"vector\"): Performs pure vector similarity search using the embeddings. Keyword Search (mode=\"keyword\"): Performs full-text search using SQLite's FTS5. Hybrid Search (mode=\"hybrid\"): Combines both vector and keyword search for better results. First performs keyword search to get candidate matches, then applies vector similarity search on those candidates. Example with hybrid search: response = await vector_io.query_chunks( vector_db_id=\"my_db\", query=\"your query here\", params={\"mode\": \"hybrid\", \"max_chunks\": 3, \"score_threshold\": 0.7}, ) # Using RRF ranker response = await vector_io.query_chunks( vector_db_id=\"my_db\", query=\"your query here\", params={ \"mode\": \"hybrid\", \"max_chunks\": 3, \"score_threshold\": 0.7, \"ranker\": {\"type\": \"rrf\", \"impact_factor\": 60.0}, }, ) # Using weighted ranker response = await vector_io.query_chunks( vector_db_id=\"my_db\", query=\"your query here\", params={ \"mode\": \"hybrid\", \"max_chunks\": 3, \"score_threshold\": 0.7, \"ranker\": {\"type\": \"weighted\", \"alpha\": 0.7}, # 70% vector, 30% keyword }, ) Example with explicit vector search: response = await vector_io.query_chunks( vector_db_id=\"my_db\", query=\"your query here\", params={\"mode\": \"vector\", \"max_chunks\": 3, \"score_threshold\": 0.7}, ) Example with keyword search: response = await vector_io.query_chunks( vector_db_id=\"my_db\", query=\"your query here\", params={\"mode\": \"keyword\", \"max_chunks\": 3, \"score_threshold\": 0.7}, )","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#usage","p":3154},{"i":3164,"t":"The SQLite vector store supports three search modes: Vector Search (mode=\"vector\"): Uses vector similarity to find relevant chunks Keyword Search (mode=\"keyword\"): Uses keyword matching to find relevant chunks Hybrid Search (mode=\"hybrid\"): Combines both vector and keyword scores using a ranker","s":"Supported Search Modes","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#supported-search-modes","p":3154},{"i":3166,"t":"Hybrid search combines the strengths of both vector and keyword search by: Computing vector similarity scores Computing keyword match scores Using a ranker to combine these scores Two ranker types are supported: RRF (Reciprocal Rank Fusion): Combines ranks from both vector and keyword results Uses an impact factor (default: 60.0) to control the weight of higher-ranked results Good for balancing between vector and keyword results The default impact factor of 60.0 comes from the original RRF paper by Cormack et al. (2009) 1, which found this value to provide optimal performance across various retrieval tasks Weighted: Linearly combines normalized vector and keyword scores Uses an alpha parameter (0-1) to control the blend: alpha=0: Only use keyword scores alpha=1: Only use vector scores alpha=0.5: Equal weight to both (default) Example using RAGQueryConfig with different search modes: from llama_stack.apis.tools import RAGQueryConfig, RRFRanker, WeightedRanker # Vector search config = RAGQueryConfig(mode=\"vector\", max_chunks=5) # Keyword search config = RAGQueryConfig(mode=\"keyword\", max_chunks=5) # Hybrid search with custom RRF ranker config = RAGQueryConfig( mode=\"hybrid\", max_chunks=5, ranker=RRFRanker(impact_factor=50.0), # Custom impact factor ) # Hybrid search with weighted ranker config = RAGQueryConfig( mode=\"hybrid\", max_chunks=5, ranker=WeightedRanker(alpha=0.7), # 70% vector, 30% keyword ) # Hybrid search with default RRF ranker config = RAGQueryConfig( mode=\"hybrid\", max_chunks=5 ) # Will use RRF with impact_factor=60.0 Note: The ranker configuration is only used in hybrid mode. For vector or keyword modes, the ranker parameter is ignored.","s":"Hybrid Search","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#hybrid-search","p":3154},{"i":3168,"t":"You can install SQLite-Vec using pip: pip install sqlite-vec","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#installation","p":3154},{"i":3170,"t":"See sqlite-vec's GitHub repo for more details about sqlite-vec in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#documentation","p":3154},{"i":3172,"t":"Field Type Required Default Description db_path No Path to the SQLite database file persistence No Config for KV store backend (SQLite only for now)","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#configuration","p":3154},{"i":3174,"t":"db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/sqlite_vec.db persistence: namespace: vector_io::sqlite_vec backend: kv_default Footnotes​ Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). Reciprocal rank fusion outperforms condorcet and individual rank learning methods. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759). ↩","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#sample-configuration","p":3154},{"i":3176,"t":"Cormack, G. V., Clarke, C. L., & Buettcher, S. (2009). Reciprocal rank fusion outperforms condorcet and individual rank learning methods. In Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (pp. 758-759). ↩","s":"Footnotes","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite-vec","h":"#footnote-label","p":3154},{"i":3179,"t":"Please refer to the sqlite-vec provider documentation.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite_vec","h":"#description","p":3177},{"i":3181,"t":"Field Type Required Default Description db_path No Path to the SQLite database file persistence No Config for KV store backend (SQLite only for now)","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite_vec","h":"#configuration","p":3177},{"i":3183,"t":"db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/sqlite_vec.db persistence: namespace: vector_io::sqlite_vec backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite_vec","h":"#sample-configuration","p":3177},{"i":3185,"t":"warning Please use the inline::sqlite-vec provider (notice the hyphen instead of underscore) instead.","s":"Deprecation Notice","u":"/v0.3.0/docs/providers/vector_io/inline_sqlite_vec","h":"#deprecation-notice","p":3177},{"i":3188,"t":"Chroma is an inline and remote vector database provider for Llama Stack. It allows you to store and query vectors directly within a Chroma database. That means you're not limited to storing vectors in memory or in a separate service.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#description","p":3186},{"i":3190,"t":"Chroma supports: Store embeddings and their metadata Vector search Full-text search Document storage Metadata filtering Multi-modal retrieval","s":"Features","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#features","p":3186},{"i":3192,"t":"To use Chrome in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use chroma. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#usage","p":3186},{"i":3194,"t":"You can install chroma using pip: pip install chromadb","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#installation","p":3186},{"i":3196,"t":"See Chroma's documentation for more details about Chroma in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#documentation","p":3186},{"i":3198,"t":"Field Type Required Default Description url str | None No persistence No Config for KV store backend","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#configuration","p":3186},{"i":3200,"t":"url: ${env.CHROMADB_URL} persistence: namespace: vector_io::chroma_remote backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_chromadb","h":"#sample-configuration","p":3186},{"i":3203,"t":"Milvus is an inline and remote vector database provider for Llama Stack. It allows you to store and query vectors directly within a Milvus database. That means you're not limited to storing vectors in memory or in a separate service.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#description","p":3201},{"i":3205,"t":"Easy to use Fully integrated with Llama Stack Supports all search modes: vector, keyword, and hybrid search (both inline and remote configurations)","s":"Features","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#features","p":3201},{"i":3207,"t":"To use Milvus in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use Milvus. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#usage","p":3201},{"i":3209,"t":"If you want to use inline Milvus, you can install: pip install pymilvus[milvus-lite] If you want to use remote Milvus, you can install: pip install pymilvus","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#installation","p":3201},{"i":3211,"t":"In Llama Stack, Milvus can be configured in two ways: Inline (Local) Configuration - Uses Milvus-Lite for local storage Remote Configuration - Connects to a remote Milvus server","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#configuration","p":3201},{"i":3213,"t":"The simplest method is local configuration, which requires setting db_path, a path for locally storing Milvus-Lite files: vector_io: - provider_id: milvus provider_type: inline::milvus config: db_path: ~/.llama/distributions/together/milvus_store.db","s":"Inline (Local) Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#inline-local-configuration","p":3201},{"i":3215,"t":"Remote configuration is suitable for larger data storage requirements: Standard Remote Connection​ vector_io: - provider_id: milvus provider_type: remote::milvus config: uri: \"http://:\" token: \":\" TLS-Enabled Remote Connection (One-way TLS)​ For connections to Milvus instances with one-way TLS enabled: vector_io: - provider_id: milvus provider_type: remote::milvus config: uri: \"https://:\" token: \":\" secure: True server_pem_path: \"/path/to/server.pem\" Mutual TLS (mTLS) Remote Connection​ For connections to Milvus instances with mutual TLS (mTLS) enabled: vector_io: - provider_id: milvus provider_type: remote::milvus config: uri: \"https://:\" token: \":\" secure: True ca_pem_path: \"/path/to/ca.pem\" client_pem_path: \"/path/to/client.pem\" client_key_path: \"/path/to/client.key\" Key Parameters for TLS Configuration​ secure: Enables TLS encryption when set to true. Defaults to false. server_pem_path: Path to the server certificate for verifying the server's identity (used in one-way TLS). ca_pem_path: Path to the Certificate Authority (CA) certificate for validating the server certificate (required in mTLS). client_pem_path: Path to the client certificate file (required for mTLS). client_key_path: Path to the client private key file (required for mTLS).","s":"Remote Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#remote-configuration","p":3201},{"i":3217,"t":"Milvus supports three different search modes for both inline and remote configurations:","s":"Search Modes","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#search-modes","p":3201},{"i":3219,"t":"Vector search uses semantic similarity to find the most relevant chunks based on embedding vectors. This is the default search mode and works well for finding conceptually similar content. # Vector search example search_response = client.vector_stores.search( vector_store_id=vector_store.id, query=\"What is machine learning?\", search_mode=\"vector\", max_num_results=5, )","s":"Vector Search","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#vector-search","p":3201},{"i":3221,"t":"Keyword search uses traditional text-based matching to find chunks containing specific terms or phrases. This is useful when you need exact term matches. # Keyword search example search_response = client.vector_stores.search( vector_store_id=vector_store.id, query=\"Python programming language\", search_mode=\"keyword\", max_num_results=5, )","s":"Keyword Search","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#keyword-search","p":3201},{"i":3223,"t":"Hybrid search combines both vector and keyword search methods to provide more comprehensive results. It leverages the strengths of both semantic similarity and exact term matching. Basic Hybrid Search​ # Basic hybrid search example (uses RRF ranker with default impact_factor=60.0) search_response = client.vector_stores.search( vector_store_id=vector_store.id, query=\"neural networks in Python\", search_mode=\"hybrid\", max_num_results=5, ) Note: The default impact_factor value of 60.0 was empirically determined to be optimal in the original RRF research paper: \"Reciprocal Rank Fusion outperforms Condorcet and individual Rank Learning Methods\" (Cormack et al., 2009). Hybrid Search with RRF (Reciprocal Rank Fusion) Ranker​ RRF combines rankings from vector and keyword search by using reciprocal ranks. The impact factor controls how much weight is given to higher-ranked results. # Hybrid search with custom RRF parameters search_response = client.vector_stores.search( vector_store_id=vector_store.id, query=\"neural networks in Python\", search_mode=\"hybrid\", max_num_results=5, ranking_options={ \"ranker\": { \"type\": \"rrf\", \"impact_factor\": 100.0, # Higher values give more weight to top-ranked results } }, ) Hybrid Search with Weighted Ranker​ Weighted ranker linearly combines normalized scores from vector and keyword search. The alpha parameter controls the balance between the two search methods. # Hybrid search with weighted ranker search_response = client.vector_stores.search( vector_store_id=vector_store.id, query=\"neural networks in Python\", search_mode=\"hybrid\", max_num_results=5, ranking_options={ \"ranker\": { \"type\": \"weighted\", \"alpha\": 0.7, # 70% vector search, 30% keyword search } }, ) For detailed documentation on RRF and Weighted rankers, please refer to the Milvus Reranking Guide.","s":"Hybrid Search","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#hybrid-search","p":3201},{"i":3225,"t":"See the Milvus documentation for more details about Milvus in general. For more details on TLS configuration, refer to the TLS setup guide.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#documentation","p":3201},{"i":3227,"t":"Field Type Required Default Description uri No The URI of the Milvus server token str | None No The token of the Milvus server consistency_level No Strong The consistency level of the Milvus server persistence No Config for KV store backend config dict No {} This configuration allows additional fields to be passed through to the underlying Milvus client. See the Milvus documentation for more details about Milvus in general. note This configuration class accepts additional fields beyond those listed above. You can pass any additional configuration options that will be forwarded to the underlying provider.","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#configuration-1","p":3201},{"i":3229,"t":"uri: ${env.MILVUS_ENDPOINT} token: ${env.MILVUS_TOKEN} persistence: namespace: vector_io::milvus_remote backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_milvus","h":"#sample-configuration","p":3201},{"i":3232,"t":"PGVector is a remote vector database provider for Llama Stack. It allows you to store and query vectors directly in memory. That means you'll get fast and efficient vector retrieval.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#description","p":3230},{"i":3234,"t":"Easy to use Fully integrated with Llama Stack There are three implementations of search for PGVectoIndex available: Vector Search: How it works: Uses PostgreSQL's vector extension (pgvector) to perform similarity search Compares query embeddings against stored embeddings using Cosine distance or other distance metrics Eg. SQL query: SELECT document, embedding <=> %s::vector AS distance FROM table ORDER BY distance -Characteristics: Semantic understanding - finds documents similar in meaning even if they don't share keywords Works with high-dimensional vector embeddings (typically 768, 1024, or higher dimensions) Best for: Finding conceptually related content, handling synonyms, cross-language search Keyword Search How it works: Uses PostgreSQL's full-text search capabilities with tsvector and ts_rank Converts text to searchable tokens using to_tsvector('english', text). Default language is English. Eg. SQL query: SELECT document, ts_rank(tokenized_content, plainto_tsquery('english', %s)) AS score Characteristics: Lexical matching - finds exact keyword matches and variations Uses GIN (Generalized Inverted Index) for fast text search performance Scoring: Uses PostgreSQL's ts_rank function for relevance scoring Best for: Exact term matching, proper names, technical terms, Boolean-style queries Hybrid Search How it works: Combines both vector and keyword search results Runs both searches independently, then merges results using configurable reranking Two reranking strategies available: Reciprocal Rank Fusion (RRF) - (default: 60.0) Weighted Average - (default: 0.5) Characteristics: Best of both worlds: semantic understanding + exact matching Documents appearing in both searches get boosted scores Configurable balance between semantic and lexical matching Best for: General-purpose search where you want both precision and recall Database Schema The PGVector implementation stores data optimized for all three search types: CREATE TABLE vector_store_xxx ( id TEXT PRIMARY KEY, document JSONB, -- Original document embedding vector(dimension), -- For vector search content_text TEXT, -- Raw text content tokenized_content TSVECTOR -- For keyword search ); -- Indexes for performance CREATE INDEX content_gin_idx ON table USING GIN(tokenized_content); -- Keyword search -- Vector index created automatically by pgvector","s":"Features","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#features","p":3230},{"i":3236,"t":"To use PGVector in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector). Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#usage","p":3230},{"i":3238,"t":"Export env vars: export ENABLE_PGVECTOR=true export PGVECTOR_HOST=localhost export PGVECTOR_PORT=5432 export PGVECTOR_DB=llamastack export PGVECTOR_USER=llamastack export PGVECTOR_PASSWORD=llamastack Create DB: psql -h localhost -U postgres -c \"CREATE ROLE llamastack LOGIN PASSWORD 'llamastack';\" psql -h localhost -U postgres -c \"CREATE DATABASE llamastack OWNER llamastack;\" psql -h localhost -U llamastack -d llamastack -c \"CREATE EXTENSION IF NOT EXISTS vector;\"","s":"This is an example how you can set up your environment for using PGVector","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#this-is-an-example-how-you-can-set-up-your-environment-for-using-pgvector","p":3230},{"i":3240,"t":"You can install PGVector using docker: docker pull pgvector/pgvector:pg17","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#installation","p":3230},{"i":3242,"t":"See PGVector's documentation for more details about PGVector in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#documentation","p":3230},{"i":3244,"t":"Field Type Required Default Description host str | None No localhost port int | None No 5432 db str | None No postgres user str | None No postgres password str | None No mysecretpassword persistence llama_stack.core.storage.datatypes.KVStoreReference | None No Config for KV store backend (SQLite only for now)","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#configuration","p":3230},{"i":3246,"t":"host: ${env.PGVECTOR_HOST:=localhost} port: ${env.PGVECTOR_PORT:=5432} db: ${env.PGVECTOR_DB} user: ${env.PGVECTOR_USER} password: ${env.PGVECTOR_PASSWORD} persistence: namespace: vector_io::pgvector backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_pgvector","h":"#sample-configuration","p":3230},{"i":3249,"t":"Please refer to the inline provider documentation.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/remote_qdrant","h":"#description","p":3247},{"i":3251,"t":"Field Type Required Default Description location str | None No url str | None No port int | None No 6333 grpc_port No 6334 prefer_grpc No False https bool | None No api_key str | None No prefix str | None No timeout int | None No host str | None No persistence No","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_qdrant","h":"#configuration","p":3247},{"i":3253,"t":"api_key: ${env.QDRANT_API_KEY:=} persistence: namespace: vector_io::qdrant_remote backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_qdrant","h":"#sample-configuration","p":3247},{"i":3256,"t":"Weaviate is a vector database provider for Llama Stack. It allows you to store and query vectors directly within a Weaviate database. That means you're not limited to storing vectors in memory or in a separate service.","s":"Description","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#description","p":3254},{"i":3258,"t":"Weaviate supports: Store embeddings and their metadata Vector search Full-text search Hybrid search Document storage Metadata filtering Multi-modal retrieval","s":"Features","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#features","p":3254},{"i":3260,"t":"To use Weaviate in your Llama Stack project, follow these steps: Install the necessary dependencies. Configure your Llama Stack project to use chroma. Start storing and querying vectors.","s":"Usage","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#usage","p":3254},{"i":3262,"t":"To install Weaviate see the Weaviate quickstart documentation.","s":"Installation","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#installation","p":3254},{"i":3264,"t":"See Weaviate's documentation for more details about Weaviate in general.","s":"Documentation","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#documentation","p":3254},{"i":3266,"t":"Field Type Required Default Description weaviate_api_key str | None No The API key for the Weaviate instance weaviate_cluster_url str | None No localhost:8080 The URL of the Weaviate cluster persistence llama_stack.core.storage.datatypes.KVStoreReference | None No Config for KV store backend (SQLite only for now)","s":"Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#configuration","p":3254},{"i":3268,"t":"weaviate_api_key: null weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080} persistence: namespace: vector_io::weaviate backend: kv_default","s":"Sample Configuration","u":"/v0.3.0/docs/providers/vector_io/remote_weaviate","h":"#sample-configuration","p":3254},{"i":3270,"t":"Python SDK Reference Llama CLI for building and running your Llama Stack server Llama Stack Client CLI for interacting with your Llama Stack server","s":"References","u":"/v0.3.0/docs/references","h":"","p":3269},{"i":3272,"t":"The Llama Stack Evaluation flow allows you to run evaluations on your GenAI application datasets or pre-registered benchmarks. We introduce a set of APIs in Llama Stack for supporting running evaluations of LLM applications. /datasetio + /datasets API /scoring + /scoring_functions API /eval + /benchmarks API This guide goes over the sets of APIs and developer experience flow of using Llama Stack to run evaluations for different use cases. Checkout our Colab notebook on working examples with evaluations here.","s":"Evaluations","u":"/v0.3.0/docs/references/evals_reference","h":"","p":3271},{"i":3274,"t":"The Evaluation APIs are associated with a set of Resources as shown in the following diagram. Please visit the Resources section in our Core Concepts guide for better high-level understanding. DatasetIO: defines interface with datasets and data loaders. Associated with Dataset resource. Scoring: evaluate outputs of the system. Associated with ScoringFunction resource. We provide a suite of out-of-the box scoring functions and also the ability for you to add custom evaluators. These scoring functions are the core part of defining an evaluation task to output evaluation metrics. Eval: generate outputs (via Inference or Agents) and perform scoring. Associated with Benchmark resource.","s":"Evaluation Concepts","u":"/v0.3.0/docs/references/evals_reference","h":"#evaluation-concepts","p":3271},{"i":3276,"t":"It is best to open this notebook in Colab to follow along with the examples.","s":"Evaluation Examples Walkthrough","u":"/v0.3.0/docs/references/evals_reference","h":"#evaluation-examples-walkthrough","p":3271},{"i":3278,"t":"This first example walks you through how to evaluate a model candidate served by Llama Stack on open benchmarks. We will use the following benchmark: MMMU (A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI)]: Benchmark designed to evaluate multimodal models. SimpleQA: Benchmark designed to access models to answer short, fact-seeking questions. 1.1 Running MMMU​ We will use a pre-processed MMMU dataset from llamastack/mmmu. The preprocessing code is shown in this GitHub Gist. The dataset is obtained by transforming the original MMMU/MMMU dataset into correct format by inference/chat-completion API. import datasets ds = datasets.load_dataset(path=\"llamastack/mmmu\", name=\"Agriculture\", split=\"dev\") ds = ds.select_columns([\"chat_completion_input\", \"input_query\", \"expected_answer\"]) eval_rows = ds.to_pandas().to_dict(orient=\"records\") Next, we will run evaluation on an model candidate, we will need to: Define a system prompt Define an EvalCandidate Run evaluate on the dataset from rich.pretty import pprint from tqdm import tqdm SYSTEM_PROMPT_TEMPLATE = \"\"\" You are an expert in {subject} whose job is to answer questions from the user using images. First, reason about the correct answer. Then write the answer in the following format where X is exactly one of A,B,C,D: Answer: X Make sure X is one of A,B,C,D. If you are uncertain of the correct answer, guess the most likely one. \"\"\" system_message = { \"role\": \"system\", \"content\": SYSTEM_PROMPT_TEMPLATE.format(subject=subset), } # register the evaluation benchmark task with the dataset and scoring function client.benchmarks.register( benchmark_id=\"meta-reference::mmmu\", dataset_id=f\"mmmu-{subset}-{split}\", scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"], ) response = client.eval.evaluate_rows( benchmark_id=\"meta-reference::mmmu\", input_rows=eval_rows, scoring_functions=[\"basic::regex_parser_multiple_choice_answer\"], benchmark_config={ \"eval_candidate\": { \"type\": \"model\", \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\", \"sampling_params\": { \"strategy\": { \"type\": \"top_p\", \"temperature\": 1.0, \"top_p\": 0.95, }, \"max_tokens\": 4096, \"repeat_penalty\": 1.0, }, \"system_message\": system_message, }, }, ) pprint(response) 1.2. Running SimpleQA​ We will use a pre-processed SimpleQA dataset from llamastack/evals which is obtained by transforming the input query into correct format accepted by inference/chat-completion API. Since we will be using this same dataset in our next example for Agentic evaluation, we will register it using the /datasets API, and interact with it through /datasetio API. simpleqa_dataset_id = \"huggingface::simpleqa\" _ = client.datasets.register( purpose=\"eval/messages-answer\", source={ \"type\": \"uri\", \"uri\": \"huggingface://datasets/llamastack/simpleqa?split=train\", }, dataset_id=simpleqa_dataset_id, ) eval_rows = client.datasets.iterrows( dataset_id=simpleqa_dataset_id, limit=5, ) client.benchmarks.register( benchmark_id=\"meta-reference::simpleqa\", dataset_id=simpleqa_dataset_id, scoring_functions=[\"llm-as-judge::405b-simpleqa\"], ) response = client.eval.evaluate_rows( benchmark_id=\"meta-reference::simpleqa\", input_rows=eval_rows.data, scoring_functions=[\"llm-as-judge::405b-simpleqa\"], benchmark_config={ \"eval_candidate\": { \"type\": \"model\", \"model\": \"meta-llama/Llama-3.2-90B-Vision-Instruct\", \"sampling_params\": { \"strategy\": { \"type\": \"greedy\", }, \"max_tokens\": 4096, \"repeat_penalty\": 1.0, }, }, }, ) pprint(response)","s":"1. Open Benchmark Model Evaluation","u":"/v0.3.0/docs/references/evals_reference","h":"#1-open-benchmark-model-evaluation","p":3271},{"i":3280,"t":"In this example, we will demonstrate how to evaluate a agent candidate served by Llama Stack via /agent API. We will continue to use the SimpleQA dataset we used in previous example. Instead of running evaluation on model, we will run the evaluation on a Search Agent with access to search tool. We will define our agent evaluation candidate through AgentConfig. agent_config = { \"model\": \"meta-llama/Llama-3.3-70B-Instruct\", \"instructions\": \"You are a helpful assistant that have access to tool to search the web. \", \"sampling_params\": { \"strategy\": { \"type\": \"top_p\", \"temperature\": 0.5, \"top_p\": 0.9, } }, \"toolgroups\": [ \"builtin::websearch\", ], \"tool_choice\": \"auto\", \"tool_prompt_format\": \"json\", \"input_shields\": [], \"output_shields\": [], \"enable_session_persistence\": False, } response = client.eval.evaluate_rows( benchmark_id=\"meta-reference::simpleqa\", input_rows=eval_rows.data, scoring_functions=[\"llm-as-judge::405b-simpleqa\"], benchmark_config={ \"eval_candidate\": { \"type\": \"agent\", \"config\": agent_config, }, }, ) pprint(response)","s":"2. Agentic Evaluation","u":"/v0.3.0/docs/references/evals_reference","h":"#2-agentic-evaluation","p":3271},{"i":3282,"t":"Llama Stack offers a library of scoring functions and the /scoring API, allowing you to run evaluations on your pre-annotated AI application datasets. In this example, we will work with an example RAG dataset you have built previously, label with an annotation, and use LLM-As-Judge with custom judge prompt for scoring. Please checkout our Llama Stack Playground for an interactive interface to upload datasets and run scorings. judge_model_id = \"meta-llama/Llama-3.1-405B-Instruct-FP8\" JUDGE_PROMPT = \"\"\" Given a QUESTION and GENERATED_RESPONSE and EXPECTED_RESPONSE. Compare the factual content of the GENERATED_RESPONSE with the EXPECTED_RESPONSE. Ignore any differences in style, grammar, or punctuation. The GENERATED_RESPONSE may either be a subset or superset of the EXPECTED_RESPONSE, or it may conflict with it. Determine which case applies. Answer the question by selecting one of the following options: (A) The GENERATED_RESPONSE is a subset of the EXPECTED_RESPONSE and is fully consistent with it. (B) The GENERATED_RESPONSE is a superset of the EXPECTED_RESPONSE and is fully consistent with it. (C) The GENERATED_RESPONSE contains all the same details as the EXPECTED_RESPONSE. (D) There is a disagreement between the GENERATED_RESPONSE and the EXPECTED_RESPONSE. (E) The answers differ, but these differences don't matter from the perspective of factuality. Give your answer in the format \"Answer: One of ABCDE, Explanation: \". Your actual task: QUESTION: {input_query} GENERATED_RESPONSE: {generated_answer} EXPECTED_RESPONSE: {expected_answer} \"\"\" input_query = ( \"What are the top 5 topics that were explained? Only list succinct bullet points.\" ) generated_answer = \"\"\" Here are the top 5 topics that were explained in the documentation for Torchtune: * What is LoRA and how does it work? * Fine-tuning with LoRA: memory savings and parameter-efficient finetuning * Running a LoRA finetune with Torchtune: overview and recipe * Experimenting with different LoRA configurations: rank, alpha, and attention modules * LoRA finetuning \"\"\" expected_answer = \"\"\"LoRA\"\"\" dataset_rows = [ { \"input_query\": input_query, \"generated_answer\": generated_answer, \"expected_answer\": expected_answer, }, ] scoring_params = { \"llm-as-judge::base\": { \"judge_model\": judge_model_id, \"prompt_template\": JUDGE_PROMPT, \"type\": \"llm_as_judge\", \"judge_score_regexes\": [\"Answer: (A|B|C|D|E)\"], }, \"basic::subset_of\": None, \"braintrust::factuality\": None, } response = client.scoring.score( input_rows=dataset_rows, scoring_functions=scoring_params )","s":"3. Agentic Application Dataset Scoring","u":"/v0.3.0/docs/references/evals_reference","h":"#3-agentic-application-dataset-scoring","p":3271},{"i":3284,"t":"The following examples give the quick steps to start running evaluations using the llama-stack-client CLI.","s":"Running Evaluations via CLI","u":"/v0.3.0/docs/references/evals_reference","h":"#running-evaluations-via-cli","p":3271},{"i":3286,"t":"There are 3 necessary input for running a benchmark eval list of benchmark_ids: The list of benchmark ids to run evaluation on model-id: The model id to evaluate on output_dir: Path to store the evaluate results llama-stack-client eval run-benchmark ... \\ --model_id \\ --output_dir \\ You can run llama-stack-client eval run-benchmark help to see the description of all the flags to run benchmark eval In the output log, you can find the path to the file that has your evaluation results. Open that file and you can see your aggregate evaluation results over there.","s":"Benchmark Evaluation CLI","u":"/v0.3.0/docs/references/evals_reference","h":"#benchmark-evaluation-cli","p":3271},{"i":3288,"t":"Usage: For running application evals, you will already have available datasets in hand from your application. You will need to specify: scoring-fn-id: List of ScoringFunction identifiers you wish to use to run on your application. Dataset used for evaluation: (1) --dataset-path: path to local file system containing datasets to run evaluation on (2) --dataset-id: pre-registered dataset in Llama Stack (Optional) --scoring-params-config: optionally parameterize scoring functions with custom params (e.g. judge_prompt, judge_model, parsing_regexes). llama-stack-client eval run_scoring ... --dataset-path \\ --output-dir ./","s":"Application Evaluation CLI","u":"/v0.3.0/docs/references/evals_reference","h":"#application-evaluation-cli","p":3271},{"i":3290,"t":"The BenchmarkConfig are user specified config to define: EvalCandidate to run generation on: ModelCandidate: The model will be used for generation through LlamaStack /inference API. AgentCandidate: The agentic system specified by AgentConfig will be used for generation through LlamaStack /agents API. Optionally scoring function params to allow customization of scoring function behaviour. This is useful to parameterize generic scoring functions such as LLMAsJudge with custom judge_model / judge_prompt. Example BenchmarkConfig { \"eval_candidate\": { \"type\": \"model\", \"model\": \"Llama3.1-405B-Instruct\", \"sampling_params\": { \"strategy\": { \"type\": \"greedy\", }, \"max_tokens\": 0, \"repetition_penalty\": 1.0 } }, \"scoring_params\": { \"llm-as-judge::llm_as_judge_base\": { \"type\": \"llm_as_judge\", \"judge_model\": \"meta-llama/Llama-3.1-8B-Instruct\", \"prompt_template\": \"Your job is to look at a question, a gold target ........\", \"judge_score_regexes\": [ \"(A|B|C)\" ] } } }","s":"Defining BenchmarkConfig","u":"/v0.3.0/docs/references/evals_reference","h":"#defining-benchmarkconfig","p":3271},{"i":3293,"t":"An eval open-benchmark essentially contains 2 parts: raw data: The raw dataset associated with the benchmark. You typically need to search the original paper that introduces the benchmark and find the canonical dataset (usually hosted on huggingface) prompt template: How to ask the candidate model to generate the answer (prompt template plays a critical role to the evaluation results). Typically, you can find the reference prompt template associated with the benchmark in benchmarks author's repo (example) or some other popular open source repos (example) To create new open-benchmark in llama stack, you need to combine the prompt template and the raw data into the chat_completion_input column in the evaluation dataset. Llama stack enforces the evaluate dataset schema to contain at least 3 columns: chat_completion_input: The actual input to the model to run the generation for eval input_query: The raw input from the raw dataset without the prompt template expected_answer: The ground truth for scoring functions to calculate the score from. You need to write a script example convert script to convert the benchmark raw dataset to llama stack format eval dataset and update the dataset to huggingface example benchmark dataset","s":"Create the new dataset for your new benchmark","u":"/v0.3.0/docs/references/evals_reference","h":"#create-the-new-dataset-for-your-new-benchmark","p":3271},{"i":3295,"t":"The purpose of scoring function is to calculate the score for each example based on candidate model generation result and expected_answer. It also aggregates the scores from all the examples and generate the final evaluate results. Firstly, you can see if the existing llama stack scoring functions can fulfill your need. If not, you need to write a new scoring function based on what benchmark author / other open source repo describe.","s":"Find scoring function for your new benchmark","u":"/v0.3.0/docs/references/evals_reference","h":"#find-scoring-function-for-your-new-benchmark","p":3271},{"i":3297,"t":"Firstly, you need to add the evaluation dataset associated with your benchmark under datasets resource in the open-benchmark Secondly, you need to add the new benchmark you just created under the benchmarks resource in the same template. To add the new benchmark, you need to have benchmark_id: identifier of the benchmark dataset_id: identifier of the dataset associated with your benchmark scoring_functions: scoring function to calculate the score based on generation results and expected_answer","s":"Add new benchmark into template","u":"/v0.3.0/docs/references/evals_reference","h":"#add-new-benchmark-into-template","p":3271},{"i":3299,"t":"Spin up llama stack server with 'open-benchmark' templates llama stack run llama_stack/distributions/open-benchmark/run.yaml Run eval benchmark CLI with your new benchmark id llama-stack-client eval run-benchmark \\ --model_id \\ --output_dir \\","s":"Test the new benchmark","u":"/v0.3.0/docs/references/evals_reference","h":"#test-the-new-benchmark","p":3271},{"i":3301,"t":"The llama CLI tool helps you set up and use the Llama Stack. The CLI is available on your path after installing the llama-stack package.","s":"llama (server-side) CLI Reference","u":"/v0.3.0/docs/references/llama_cli_reference","h":"","p":3300},{"i":3303,"t":"You have two ways to install Llama Stack: Install as a package: You can install the repository directly from PyPI by running the following command: pip install llama-stack Install from source: If you prefer to install from the source code, follow these steps: mkdir -p ~/local cd ~/local git clone git@github.com:meta-llama/llama-stack.git uv venv myenv --python 3.12 source myenv/bin/activate # On Windows: myenv\\Scripts\\activate cd llama-stack pip install -e .","s":"Installation","u":"/v0.3.0/docs/references/llama_cli_reference","h":"#installation","p":3300},{"i":3305,"t":"stack: Allows you to build a stack using the llama stack distribution and run a Llama Stack server. You can read more about how to build a Llama Stack distribution in the Build your own Distribution documentation. For downloading models, we recommend using the Hugging Face CLI. See Downloading models for more information.","s":"llama subcommands","u":"/v0.3.0/docs/references/llama_cli_reference","h":"#llama-subcommands","p":3300},{"i":3307,"t":"llama --help usage: llama [-h] {stack} ... Welcome to the Llama CLI options: -h, --help show this help message and exit subcommands: {stack} stack Operations for the Llama Stack / Distributions","s":"Sample Usage","u":"/v0.3.0/docs/references/llama_cli_reference","h":"#sample-usage","p":3300},{"i":3309,"t":"You first need to have models downloaded locally. We recommend using the Hugging Face CLI to download models. First, install the Hugging Face CLI: pip install huggingface_hub[cli] Then authenticate and download models: # Authenticate with Hugging Face huggingface-cli login # Download a model huggingface-cli download meta-llama/Llama-3.2-3B-Instruct --local-dir ~/.llama/Llama-3.2-3B-Instruct","s":"Downloading models","u":"/v0.3.0/docs/references/llama_cli_reference","h":"#downloading-models","p":3300},{"i":3311,"t":"To list the downloaded models, you can use the Hugging Face CLI: # List all downloaded models in your local cache huggingface-cli scan-cache","s":"List the downloaded models","u":"/v0.3.0/docs/references/llama_cli_reference","h":"#list-the-downloaded-models","p":3300},{"i":3313,"t":"The llama CLI tool helps you setup and use the Llama Stack. It should be available on your path after installing the llama-stack package.","s":"Downloading Models","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"","p":3312},{"i":3315,"t":"You have two ways to install Llama Stack: Install as a package: You can install the repository directly from PyPI by running the following command: pip install llama-stack Install from source: If you prefer to install from the source code, follow these steps: mkdir -p ~/local cd ~/local git clone git@github.com:meta-llama/llama-stack.git uv venv myenv --python 3.12 source myenv/bin/activate # On Windows: myenv\\Scripts\\activate cd llama-stack pip install -e .","s":"Installation","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"#installation","p":3312},{"i":3317,"t":"You first need to have models downloaded locally. We recommend using the Hugging Face CLI to download models.","s":"Downloading models via Hugging Face CLI","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"#downloading-models-via-hugging-face-cli","p":3312},{"i":3319,"t":"First, install the Hugging Face CLI: pip install huggingface_hub[cli]","s":"Install Hugging Face CLI","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"#install-hugging-face-cli","p":3312},{"i":3321,"t":"You can download models using the huggingface-cli download command. Here are some examples: # Download Llama 3.2 3B Instruct model huggingface-cli download meta-llama/Llama-3.2-3B-Instruct --local-dir ~/.llama/Llama-3.2-3B-Instruct # Download Llama 3.2 1B Instruct model huggingface-cli download meta-llama/Llama-3.2-1B-Instruct --local-dir ~/.llama/Llama-3.2-1B-Instruct # Download Llama Guard 3 1B model huggingface-cli download meta-llama/Llama-Guard-3-1B --local-dir ~/.llama/Llama-Guard-3-1B # Download Prompt Guard model huggingface-cli download meta-llama/Prompt-Guard-86M --local-dir ~/.llama/Prompt-Guard-86M Important: You need to authenticate with Hugging Face to download models. You can do this by: Getting your token from https://huggingface.co/settings/tokens Running huggingface-cli login and entering your token","s":"Download models from Hugging Face","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"#download-models-from-hugging-face","p":3312},{"i":3323,"t":"To list the downloaded models, you can use the Hugging Face CLI: # List all downloaded models in your local cache huggingface-cli scan-cache","s":"List the downloaded models","u":"/v0.3.0/docs/references/llama_cli_reference/download_models","h":"#list-the-downloaded-models","p":3312},{"i":3325,"t":"The llama-stack-client CLI allows you to query information about the distribution.","s":"llama (client-side) CLI Reference","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"","p":3324},{"i":3328,"t":"llama-stack-client Usage: llama-stack-client [OPTIONS] COMMAND [ARGS]... Welcome to the llama-stack-client CLI - a command-line interface for interacting with Llama Stack Options: --version Show the version and exit. --endpoint TEXT Llama Stack distribution endpoint --api-key TEXT Llama Stack distribution API key --config TEXT Path to config file --help Show this message and exit. Commands: configure Configure Llama Stack Client CLI. datasets Manage datasets. eval Run evaluation tasks. eval_tasks Manage evaluation tasks. inference Inference (chat). inspect Inspect server configuration. models Manage GenAI models. post_training Post-training. providers Manage API providers. scoring_functions Manage scoring functions. shields Manage safety shield services. toolgroups Manage available tool groups.","s":"llama-stack-client","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client","p":3324},{"i":3330,"t":"Configure Llama Stack Client CLI. llama-stack-client configure > Enter the host name of the Llama Stack distribution server: localhost > Enter the port number of the Llama Stack distribution server: 8321 Done! You can now use the Llama Stack Client CLI with endpoint http://localhost:8321 Optional arguments: --endpoint: Llama Stack distribution endpoint --api-key: Llama Stack distribution API key","s":"llama-stack-client configure","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-configure","p":3324},{"i":3332,"t":"Inspect server configuration. llama-stack-client inspect version VersionInfo(version='0.2.14')","s":"llama-stack-client inspect version","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-inspect-version","p":3324},{"i":3334,"t":"Show available providers on distribution endpoint llama-stack-client providers list +-----------+----------------+-----------------+ | API | Provider ID | Provider Type | +===========+================+=================+ | scoring | meta0 | meta-reference | +-----------+----------------+-----------------+ | datasetio | meta0 | meta-reference | +-----------+----------------+-----------------+ | inference | tgi0 | remote::tgi | +-----------+----------------+-----------------+ | memory | meta-reference | meta-reference | +-----------+----------------+-----------------+ | agents | meta-reference | meta-reference | +-----------+----------------+-----------------+ | telemetry | meta-reference | meta-reference | +-----------+----------------+-----------------+ | safety | meta-reference | meta-reference | +-----------+----------------+-----------------+","s":"llama-stack-client providers list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-providers-list","p":3324},{"i":3336,"t":"Show specific provider configuration on distribution endpoint llama-stack-client providers inspect ","s":"llama-stack-client providers inspect","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-providers-inspect","p":3324},{"i":3338,"t":"Inference (chat).","s":"Inference","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#inference","p":3324},{"i":3340,"t":"Show available inference chat completion endpoints on distribution endpoint llama-stack-client inference chat-completion --message [--stream] [--session] [--model-id] OpenAIChatCompletion( id='chatcmpl-aacd11f3-8899-4ec5-ac5b-e655132f6891', choices=[ OpenAIChatCompletionChoice( finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam( role='assistant', content='The captain of the whaleship Pequod in Nathaniel Hawthorne\\'s novel \"Moby-Dick\" is Captain Ahab. He\\'s a vengeful and obsessive old sailor who\\'s determined to hunt down and kill the white sperm whale Moby-Dick, whom he\\'s lost his leg to in a previous encounter.', name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None ), logprobs=None ) ], created=1752578797, model='llama3.2:3b-instruct-fp16', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={ 'completion_tokens': 67, 'prompt_tokens': 33, 'total_tokens': 100, 'completion_tokens_details': None, 'prompt_tokens_details': None } ) Required arguments: Note: At least one of these parameters is required for chat completion --message: Message --session: Start a Chat Session Optional arguments: --stream: Stream --model-id: Model ID","s":"llama-stack-client inference chat-completion","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-inference-chat-completion","p":3324},{"i":3342,"t":"Manage GenAI models.","s":"Model Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#model-management","p":3324},{"i":3344,"t":"Show available llama models at distribution endpoint llama-stack-client models list Available Models ┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━┓ ┃ model_type ┃ identifier ┃ provider_resource_id ┃ metadata ┃ provider_id ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━┩ │ llm │ meta-llama/Llama-3.2-3B-Instruct │ llama3.2:3b-instruct-fp16 │ │ ollama │ └──────────────┴──────────────────────────────────────┴──────────────────────────────┴───────────┴─────────────┘ Total models: 1","s":"llama-stack-client models list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-models-list","p":3324},{"i":3346,"t":"Show details of a specific model at the distribution endpoint llama-stack-client models get Llama3.1-8B-Instruct +----------------------+----------------------+----------------------------------------------------------+---------------+ | identifier | llama_model | metadata | provider_id | +======================+======================+==========================================================+===============+ | Llama3.1-8B-Instruct | Llama3.1-8B-Instruct | {'huggingface_repo': 'meta-llama/Llama-3.1-8B-Instruct'} | tgi0 | +----------------------+----------------------+----------------------------------------------------------+---------------+ llama-stack-client models get Random-Model Model RandomModel is not found at distribution endpoint host:port. Please ensure endpoint is serving specified model.","s":"llama-stack-client models get","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-models-get","p":3324},{"i":3348,"t":"Register a new model at distribution endpoint llama-stack-client models register [--provider-id ] [--provider-model-id ] [--metadata ] [--model-type ] Required arguments: MODEL_ID: Model ID --provider-id: Provider ID for the model Optional arguments: --provider-model-id: Provider's model ID --metadata: JSON metadata for the model --model-type: Model type: llm, embedding","s":"llama-stack-client models register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-models-register","p":3324},{"i":3350,"t":"Unregister a model from distribution endpoint llama-stack-client models unregister ","s":"llama-stack-client models unregister","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-models-unregister","p":3324},{"i":3352,"t":"Manage safety shield services.","s":"Shield Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#shield-management","p":3324},{"i":3354,"t":"Show available safety shields on distribution endpoint llama-stack-client shields list ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ ┃ identifier ┃ provider_alias ┃ params ┃ provider_id ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩ │ ollama │ ollama/llama-guard3:1b │ │ llama-guard │ └──────────────────────────────────┴───────────────────────────────────────────────────────────────────────┴───────────────────────┴────────────────────────────────────┘","s":"llama-stack-client shields list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-shields-list","p":3324},{"i":3356,"t":"Register a new safety shield llama-stack-client shields register --shield-id [--provider-id ] [--provider-shield-id ] [--params ] Required arguments: --shield-id: ID of the shield Optional arguments: --provider-id: Provider ID for the shield --provider-shield-id: Provider's shield ID --params: JSON configuration parameters for the shield","s":"llama-stack-client shields register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-shields-register","p":3324},{"i":3358,"t":"Run evaluation tasks.","s":"Eval execution","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#eval-execution","p":3324},{"i":3360,"t":"Run a evaluation benchmark task llama-stack-client eval run-benchmark [ ...] --eval-task-config --output-dir --model-id [--num-examples ] [--visualize] [--repeat-penalty ] [--top-p ] [--max-tokens ] Required arguments: --eval-task-config: Path to the eval task config file in JSON format --output-dir: Path to the directory where evaluation results will be saved --model-id: model id to run the benchmark eval on Optional arguments: --num-examples: Number of examples to evaluate (useful for debugging) --visualize: If set, visualizes evaluation results after completion --repeat-penalty: repeat-penalty in the sampling params to run generation --top-p: top-p in the sampling params to run generation --max-tokens: max-tokens in the sampling params to run generation --temperature: temperature in the sampling params to run generation Example benchmark_config.json: { \"type\": \"benchmark\", \"eval_candidate\": { \"type\": \"model\", \"model\": \"Llama3.1-405B-Instruct\", \"sampling_params\": { \"strategy\": \"greedy\", } } }","s":"llama-stack-client eval run-benchmark","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-eval-run-benchmark","p":3324},{"i":3362,"t":"Run scoring from application datasets llama-stack-client eval run-scoring --output-dir [--num-examples ] [--visualize] Required arguments: --output-dir: Path to the directory where scoring results will be saved Optional arguments: --num-examples: Number of examples to evaluate (useful for debugging) --visualize: If set, visualizes scoring results after completion --scoring-params-config: Path to the scoring params config file in JSON format --dataset-id: Pre-registered dataset_id to score (from llama-stack-client datasets list) --dataset-path: Path to the dataset file to score","s":"llama-stack-client eval run-scoring","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-eval-run-scoring","p":3324},{"i":3364,"t":"Manage evaluation tasks.","s":"Eval Tasks","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#eval-tasks","p":3324},{"i":3366,"t":"Show available eval tasks on distribution endpoint llama-stack-client eval_tasks list","s":"llama-stack-client eval_tasks list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-eval_tasks-list","p":3324},{"i":3368,"t":"Register a new eval task llama-stack-client eval_tasks register --eval-task-id --dataset-id --scoring-functions [--provider-id ] [--provider-eval-task-id ] [--metadata ] Required arguments: --eval-task-id: ID of the eval task --dataset-id: ID of the dataset to evaluate --scoring-functions: Scoring functions to use for evaluation Optional arguments: --provider-id: Provider ID for the eval task --provider-eval-task-id: Provider's eval task ID","s":"llama-stack-client eval_tasks register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-eval_tasks-register","p":3324},{"i":3370,"t":"Manage available tool groups.","s":"Tool Group Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#tool-group-management","p":3324},{"i":3372,"t":"Show available llama toolgroups at distribution endpoint llama-stack-client toolgroups list +---------------------------+------------------+------+---------------+ | identifier | provider_id | args | mcp_endpoint | +===========================+==================+======+===============+ | builtin::rag | rag-runtime | None | None | +---------------------------+------------------+------+---------------+ | builtin::websearch | tavily-search | None | None | +---------------------------+------------------+------+---------------+","s":"llama-stack-client toolgroups list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-toolgroups-list","p":3324},{"i":3374,"t":"Get available llama toolgroups by id llama-stack-client toolgroups get Shows detailed information about a specific toolgroup. If the toolgroup is not found, displays an error message. Required arguments: TOOLGROUP_ID: ID of the tool group","s":"llama-stack-client toolgroups get","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-toolgroups-get","p":3324},{"i":3376,"t":"Register a new toolgroup at distribution endpoint llama-stack-client toolgroups register [--provider-id ] [--provider-toolgroup-id ] [--mcp-config ] [--args ] Required arguments: TOOLGROUP_ID: ID of the tool group Optional arguments: --provider-id: Provider ID for the toolgroup --provider-toolgroup-id: Provider's toolgroup ID --mcp-config: JSON configuration for the MCP endpoint --args: JSON arguments for the toolgroup","s":"llama-stack-client toolgroups register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-toolgroups-register","p":3324},{"i":3378,"t":"Unregister a toolgroup from distribution endpoint llama-stack-client toolgroups unregister Required arguments: TOOLGROUP_ID: ID of the tool group","s":"llama-stack-client toolgroups unregister","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-toolgroups-unregister","p":3324},{"i":3380,"t":"Manage datasets.","s":"Datasets Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#datasets-management","p":3324},{"i":3382,"t":"Show available datasets on distribution endpoint llama-stack-client datasets list","s":"llama-stack-client datasets list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-datasets-list","p":3324},{"i":3384,"t":"llama-stack-client datasets register --dataset_id --purpose [--url ] [--dataset-id ] [--metadata ] Required arguments: --dataset_id: Id of the dataset --purpose: Purpose of the dataset Optional arguments: --metadata: Metadata of the dataset --url: URL of the dataset --dataset-path: Local file path to the dataset. If specified, upload dataset via URL","s":"llama-stack-client datasets register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-datasets-register","p":3324},{"i":3386,"t":"Remove a dataset llama-stack-client datasets unregister Required arguments: DATASET_ID: Id of the dataset","s":"llama-stack-client datasets unregister","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-datasets-unregister","p":3324},{"i":3388,"t":"Manage scoring functions.","s":"Scoring Functions Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#scoring-functions-management","p":3324},{"i":3390,"t":"Show available scoring functions on distribution endpoint llama-stack-client scoring_functions list ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┓ ┃ identifier ┃ provider_id ┃ description ┃ type ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━┩ │ basic::docvqa │ basic │ DocVQA Visual Question & Answer scoring function │ scoring_function │ │ basic::equality │ basic │ Returns 1.0 if the input is equal to the target, 0.0 │ scoring_function │ │ │ │ otherwise. │ │ └────────────────────────────────────────────┴──────────────┴───────────────────────────────────────────────────────────────┴──────────────────┘","s":"llama-stack-client scoring_functions list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-scoring_functions-list","p":3324},{"i":3392,"t":"Register a new scoring function llama-stack-client scoring_functions register --scoring-fn-id --description --return-type [--provider-id ] [--provider-scoring-fn-id ] [--params ] Required arguments: --scoring-fn-id: Id of the scoring function --description: Description of the scoring function --return-type: Return type of the scoring function Optional arguments: --provider-id: Provider ID for the scoring function --provider-scoring-fn-id: Provider's scoring function ID --params: Parameters for the scoring function in JSON format","s":"llama-stack-client scoring_functions register","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-scoring_functions-register","p":3324},{"i":3394,"t":"Post-training.","s":"Post Training Management","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#post-training-management","p":3324},{"i":3396,"t":"Show the list of available post training jobs llama-stack-client post_training list [\"job-1\", \"job-2\", \"job-3\"]","s":"llama-stack-client post_training list","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-post_training-list","p":3324},{"i":3398,"t":"Get the training artifacts of a specific post training job llama-stack-client post_training artifacts --job-uuid JobArtifactsResponse(checkpoints=[], job_uuid='job-1') Required arguments: --job-uuid: Job UUID","s":"llama-stack-client post_training artifacts","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-post_training-artifacts","p":3324},{"i":3400,"t":"Kick off a supervised fine tune job llama-stack-client post_training supervised_fine_tune --job-uuid --model --algorithm-config --training-config [--checkpoint-dir ] Required arguments: --job-uuid: Job UUID --model: Model ID --algorithm-config: Algorithm Config --training-config: Training Config Optional arguments: --checkpoint-dir: Checkpoint Config","s":"llama-stack-client post_training supervised_fine_tune","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-post_training-supervised_fine_tune","p":3324},{"i":3402,"t":"Show the status of a specific post training job llama-stack-client post_training status --job-uuid JobStatusResponse( checkpoints=[], job_uuid='job-1', status='completed', completed_at=\"\", resources_allocated=\"\", scheduled_at=\"\", started_at=\"\" ) Required arguments: --job-uuid: Job UUID","s":"llama-stack-client post_training status","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-post_training-status","p":3324},{"i":3404,"t":"Cancel the training job llama-stack-client post_training cancel --job-uuid # This functionality is not yet implemented for llama-stack-client ╭────────────────────────────────────────────────────────────╮ │ Failed to post_training cancel_training_job │ │ │ │ Error Type: InternalServerError │ │ Details: Error code: 501 - {'detail': 'Not implemented: '} │ ╰────────────────────────────────────────────────────────────╯ Required arguments: --job-uuid: Job UUID","s":"llama-stack-client post_training cancel","u":"/v0.3.0/docs/references/llama_stack_client_cli_reference","h":"#llama-stack-client-post_training-cancel","p":3324},{"i":3407,"t":"from llama_stack_client.types import ( AgentConfig, BatchCompletion, CompletionMessage, ContentDelta, Document, InterleavedContent, InterleavedContentItem, Message, ParamType, QueryConfig, QueryResult, ReturnType, SafetyViolation, SamplingParams, ScoringResult, SystemMessage, ToolCall, ToolParamDefinition, ToolResponseMessage, URL, UserMessage, )","s":"Shared Types","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#shared-types","p":3405},{"i":3409,"t":"Types: from llama_stack_client.types import ( ListToolGroupsResponse, ToolGroup, ToolgroupListResponse, ) Methods: client.toolgroups.list() -> ToolgroupListResponse client.toolgroups.get(toolgroup_id) -> ToolGroup client.toolgroups.register(**params) -> None client.toolgroups.unregister(toolgroup_id) -> None","s":"Toolgroups","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#toolgroups","p":3405},{"i":3411,"t":"Types: from llama_stack_client.types import ListToolsResponse, Tool, ToolListResponse Methods: client.tools.list(**params) -> ToolListResponse client.tools.get(tool_name) -> Tool","s":"Tools","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#tools","p":3405},{"i":3413,"t":"Types: from llama_stack_client.types import ToolDef, ToolInvocationResult Methods: client.tool_runtime.invoke_tool(**params) -> ToolInvocationResult client.tool_runtime.list_tools(**params) -> JSONLDecoder[ToolDef]","s":"ToolRuntime","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#toolruntime","p":3405},{"i":3415,"t":"Methods: client.tool_runtime.rag_tool.insert(**params) -> None client.tool_runtime.rag_tool.query(**params) -> QueryResult","s":"RagTool","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#ragtool","p":3405},{"i":3417,"t":"Types: from llama_stack_client.types import ( InferenceStep, MemoryRetrievalStep, ShieldCallStep, ToolExecutionStep, ToolResponse, AgentCreateResponse, ) Methods: client.agents.create(**params) -> AgentCreateResponse client.agents.delete(agent_id) -> None","s":"Agents","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#agents","p":3405},{"i":3419,"t":"Types: from llama_stack_client.types.agents import Session, SessionCreateResponse Methods: client.agents.session.create(agent_id, **params) -> SessionCreateResponse client.agents.session.retrieve(session_id, *, agent_id, **params) -> Session client.agents.session.delete(session_id, *, agent_id) -> None","s":"Session","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#session","p":3405},{"i":3421,"t":"Types: from llama_stack_client.types.agents import StepRetrieveResponse Methods: client.agents.steps.retrieve(step_id, *, agent_id, session_id, turn_id) -> StepRetrieveResponse","s":"Steps","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#steps","p":3405},{"i":3423,"t":"Types: from llama_stack_client.types.agents import Turn, TurnCreateResponse Methods: client.agents.turn.create(session_id, *, agent_id, **params) -> TurnCreateResponse client.agents.turn.retrieve(turn_id, *, agent_id, session_id) -> Turn","s":"Turn","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#turn","p":3405},{"i":3425,"t":"Types: from llama_stack_client.types import ( ListDatasetsResponse, DatasetRetrieveResponse, DatasetListResponse, ) Methods: client.datasets.retrieve(dataset_id) -> Optional[DatasetRetrieveResponse] client.datasets.list() -> DatasetListResponse client.datasets.register(**params) -> None client.datasets.unregister(dataset_id) -> None","s":"Datasets","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#datasets","p":3405},{"i":3427,"t":"Types: from llama_stack_client.types import EvaluateResponse, Job Methods: client.eval.evaluate_rows(benchmark_id, **params) -> EvaluateResponse client.eval.run_eval(benchmark_id, **params) -> Job","s":"Eval","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#eval","p":3405},{"i":3429,"t":"Types: from llama_stack_client.types.eval import JobStatusResponse Methods: client.eval.jobs.retrieve(job_id, *, benchmark_id) -> EvaluateResponse client.eval.jobs.cancel(job_id, *, benchmark_id) -> None client.eval.jobs.status(job_id, *, benchmark_id) -> Optional[JobStatusResponse]","s":"Jobs","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#jobs","p":3405},{"i":3431,"t":"Types: from llama_stack_client.types import HealthInfo, ProviderInfo, RouteInfo, VersionInfo Methods: client.inspect.health() -> HealthInfo client.inspect.version() -> VersionInfo","s":"Inspect","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#inspect","p":3405},{"i":3433,"t":"Types: from llama_stack_client.types import ( CompletionResponse, EmbeddingsResponse, TokenLogProbs, InferenceChatCompletionResponse, InferenceCompletionResponse, ) Methods: client.inference.embeddings(**params) -> EmbeddingsResponse","s":"Inference","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#inference","p":3405},{"i":3435,"t":"Types: from llama_stack_client.types import QueryChunksResponse Methods: client.vector_io.insert(**params) -> None client.vector_io.query(**params) -> QueryChunksResponse","s":"VectorIo","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#vectorio","p":3405},{"i":3437,"t":"Types: from llama_stack_client.types import ( ListVectorDBsResponse, VectorDBRetrieveResponse, VectorDBListResponse, VectorDBRegisterResponse, ) Methods: client.vector_dbs.retrieve(vector_db_id) -> Optional[VectorDBRetrieveResponse] client.vector_dbs.list() -> VectorDBListResponse client.vector_dbs.register(**params) -> VectorDBRegisterResponse client.vector_dbs.unregister(vector_db_id) -> None","s":"VectorDBs","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#vectordbs","p":3405},{"i":3439,"t":"Types: from llama_stack_client.types import ListModelsResponse, Model, ModelListResponse Methods: client.models.retrieve(model_id) -> Optional[Model] client.models.list() -> ModelListResponse client.models.register(**params) -> Model client.models.unregister(model_id) -> None","s":"Models","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#models","p":3405},{"i":3441,"t":"Types: from llama_stack_client.types import ListPostTrainingJobsResponse, PostTrainingJob Methods: client.post_training.preference_optimize(**params) -> PostTrainingJob client.post_training.supervised_fine_tune(**params) -> PostTrainingJob","s":"PostTraining","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#posttraining","p":3405},{"i":3443,"t":"Types: from llama_stack_client.types.post_training import ( JobListResponse, JobArtifactsResponse, JobStatusResponse, ) Methods: client.post_training.job.list() -> JobListResponse client.post_training.job.artifacts(**params) -> Optional[JobArtifactsResponse] client.post_training.job.cancel(**params) -> None client.post_training.job.status(**params) -> Optional[JobStatusResponse]","s":"Job","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#job","p":3405},{"i":3445,"t":"Types: from llama_stack_client.types import ListProvidersResponse, ProviderListResponse Methods: client.providers.list() -> ProviderListResponse","s":"Providers","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#providers","p":3405},{"i":3447,"t":"Types: from llama_stack_client.types import ListRoutesResponse, RouteListResponse Methods: client.routes.list() -> RouteListResponse","s":"Routes","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#routes","p":3405},{"i":3449,"t":"Types: from llama_stack_client.types import RunShieldResponse Methods: client.safety.run_shield(**params) -> RunShieldResponse","s":"Safety","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#safety","p":3405},{"i":3451,"t":"Types: from llama_stack_client.types import ListShieldsResponse, Shield, ShieldListResponse Methods: client.shields.retrieve(identifier) -> Optional[Shield] client.shields.list() -> ShieldListResponse client.shields.register(**params) -> Shield","s":"Shields","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#shields","p":3405},{"i":3453,"t":"Types: from llama_stack_client.types import SyntheticDataGenerationResponse Methods: client.synthetic_data_generation.generate(**params) -> SyntheticDataGenerationResponse","s":"SyntheticDataGeneration","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#syntheticdatageneration","p":3405},{"i":3455,"t":"Types: from llama_stack_client.types import ( QuerySpansResponse, SpanWithStatus, Trace, TelemetryGetSpanResponse, TelemetryGetSpanTreeResponse, TelemetryQuerySpansResponse, TelemetryQueryTracesResponse, ) Methods: client.telemetry.get_span(span_id, *, trace_id) -> TelemetryGetSpanResponse client.telemetry.get_span_tree(span_id, **params) -> TelemetryGetSpanTreeResponse client.telemetry.get_trace(trace_id) -> Trace client.telemetry.log_event(**params) -> None client.telemetry.query_spans(**params) -> TelemetryQuerySpansResponse client.telemetry.query_traces(**params) -> TelemetryQueryTracesResponse client.telemetry.save_spans_to_dataset(**params) -> None","s":"Telemetry","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#telemetry","p":3405},{"i":3457,"t":"Types: from llama_stack_client.types import PaginatedRowsResult Methods: client.datasetio.append_rows(**params) -> None client.datasetio.get_rows_paginated(**params) -> PaginatedRowsResult","s":"Datasetio","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#datasetio","p":3405},{"i":3459,"t":"Types: from llama_stack_client.types import ScoringScoreResponse, ScoringScoreBatchResponse Methods: client.scoring.score(**params) -> ScoringScoreResponse client.scoring.score_batch(**params) -> ScoringScoreBatchResponse","s":"Scoring","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#scoring","p":3405},{"i":3461,"t":"Types: from llama_stack_client.types import ( ListScoringFunctionsResponse, ScoringFn, ScoringFunctionListResponse, ) Methods: client.scoring_functions.retrieve(scoring_fn_id) -> Optional[ScoringFn] client.scoring_functions.list() -> ScoringFunctionListResponse client.scoring_functions.register(**params) -> None","s":"ScoringFunctions","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#scoringfunctions","p":3405},{"i":3463,"t":"Types: from llama_stack_client.types import ( Benchmark, ListBenchmarksResponse, BenchmarkListResponse, ) Methods: client.benchmarks.retrieve(benchmark_id) -> Optional[Benchmark] client.benchmarks.list() -> BenchmarkListResponse client.benchmarks.register(**params) -> None","s":"Benchmarks","u":"/v0.3.0/docs/references/python_sdk_reference","h":"#benchmarks","p":3405},{"i":3465,"t":"Markdown page example You don't need React to write simple standalone pages.","s":"Markdown page 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\ No newline at end of file diff --git a/docs/v0.3.0/stainless-llama-stack-spec.html b/docs/v0.3.0/stainless-llama-stack-spec.html new file mode 100644 index 00000000..38122ebc --- /dev/null +++ b/docs/v0.3.0/stainless-llama-stack-spec.html @@ -0,0 +1,18061 @@ + + + + + + + OpenAPI specification + + + + + + + + + + + + + diff --git a/docs/v0.3.0/stainless-llama-stack-spec.yaml b/docs/v0.3.0/stainless-llama-stack-spec.yaml new file mode 100644 index 00000000..93049a14 --- /dev/null +++ b/docs/v0.3.0/stainless-llama-stack-spec.yaml @@ -0,0 +1,13653 @@ +openapi: 3.1.0 +info: + title: >- + Llama Stack Specification - Stable & Experimental APIs + version: v1 + description: >- + This is the specification of the Llama Stack that provides + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. + + **🔗 COMBINED**: This specification includes both stable production-ready APIs + and experimental pre-release APIs. Use stable APIs for production deployments + and experimental APIs for testing new features. +servers: + - url: http://any-hosted-llama-stack.com +paths: + /v1/chat/completions: + get: + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: List chat completions. + description: List chat completions. + parameters: + - name: after + in: query + description: >- + The ID of the last chat completion to return. + required: false + schema: + type: string + - name: limit + in: query + description: >- + The maximum number of chat completions to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort the chat completions by: "asc" or "desc". Defaults to + "desc". + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + post: + responses: + '200': + description: An OpenAIChatCompletion. + content: + application/json: + schema: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletion' + - $ref: '#/components/schemas/OpenAIChatCompletionChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create chat completions. + description: >- + Create chat completions. + + Generate an OpenAI-compatible chat completion for the given messages using + the specified model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' + required: true + deprecated: false + /v1/chat/completions/{completion_id}: + get: + responses: + '200': + description: A OpenAICompletionWithInputMessages. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Get chat completion. + description: >- + Get chat completion. + + Describe a chat completion by its ID. + parameters: + - name: completion_id + in: path + description: ID of the chat completion. + required: true + schema: + type: string + deprecated: false + /v1/completions: + post: + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create completion. + description: >- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' + required: true + deprecated: false + /v1/conversations: + post: + responses: + '200': + description: The created conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Create a conversation. + description: >- + Create a conversation. + + Create a conversation. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateConversationRequest' + required: true + deprecated: false + /v1/conversations/{conversation_id}: + get: + responses: + '200': + description: The conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Retrieve a conversation. + description: >- + Retrieve a conversation. + + Get a conversation with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: The updated conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Update a conversation. + description: >- + Update a conversation. + + Update a conversation's metadata with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/UpdateConversationRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: The deleted conversation resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationDeletedResource' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Delete a conversation. + description: >- + Delete a conversation. + + Delete a conversation with the given ID. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + deprecated: false + /v1/conversations/{conversation_id}/items: + get: + responses: + '200': + description: List of conversation items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: List items. + description: >- + List items. + + List items in the conversation. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: after + in: query + description: >- + An item ID to list items after, used in pagination. + required: true + schema: + oneOf: + - type: string + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: include + in: query + description: >- + Specify additional output data to include in the response. + required: true + schema: + oneOf: + - type: array + items: + type: string + enum: + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: limit + in: query + description: >- + A limit on the number of objects to be returned (1-100, default 20). + required: true + schema: + oneOf: + - type: integer + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + - name: order + in: query + description: >- + The order to return items in (asc or desc, default desc). + required: true + schema: + oneOf: + - type: string + enum: + - asc + - desc + - type: object + title: NotGiven + description: >- + A sentinel singleton class used to distinguish omitted keyword arguments + from those passed in with the value None (which may have different + behavior). + + For example: + + + ```py + + def get(timeout: Union[int, NotGiven, None] = NotGiven()) -> Response: + ... + + + + get(timeout=1) # 1s timeout + + get(timeout=None) # No timeout + + get() # Default timeout behavior, which may not be statically known + at the method definition. + + ``` + deprecated: false + post: + responses: + '200': + description: List of created items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Create items. + description: >- + Create items. + + Create items in the conversation. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/AddItemsRequest' + required: true + deprecated: false + /v1/conversations/{conversation_id}/items/{item_id}: + get: + responses: + '200': + description: The conversation item. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItem' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Retrieve an item. + description: >- + Retrieve an item. + + Retrieve a conversation item. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: item_id + in: path + description: The item identifier. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: The deleted item resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemDeletedResource' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Conversations + summary: Delete an item. + description: >- + Delete an item. + + Delete a conversation item. + parameters: + - name: conversation_id + in: path + description: The conversation identifier. + required: true + schema: + type: string + - name: item_id + in: path + description: The item identifier. + required: true + schema: + type: string + deprecated: false + /v1/embeddings: + post: + responses: + '200': + description: >- + An OpenAIEmbeddingsResponse containing the embeddings. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: Create embeddings. + description: >- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified + model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' + required: true + deprecated: false + /v1/files: + get: + responses: + '200': + description: >- + An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: List files. + description: >- + List files. + + Returns a list of files that belong to the user's organization. + parameters: + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. For instance, if you make a list request and receive + 100 objects, ending with obj_foo, your subsequent call can include after=obj_foo + in order to fetch the next page of the list. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 10,000, and the default is 10,000. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + $ref: '#/components/schemas/Order' + - name: purpose + in: query + description: >- + Only return files with the given purpose. + required: false + schema: + $ref: '#/components/schemas/OpenAIFilePurpose' + deprecated: false + post: + responses: + '200': + description: >- + An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Upload file. + description: >- + Upload file. + + Upload a file that can be used across various endpoints. + + + The file upload should be a multipart form request with: + + - file: The File object (not file name) to be uploaded. + + - purpose: The intended purpose of the uploaded file. + + - expires_after: Optional form values describing expiration for the file. + parameters: [] + requestBody: + content: + multipart/form-data: + schema: + type: object + properties: + file: + type: string + format: binary + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + $ref: '#/components/schemas/ExpiresAfter' + required: + - file + - purpose + required: true + deprecated: false + /v1/files/{file_id}: + get: + responses: + '200': + description: >- + An OpenAIFileObject containing file information. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file. + description: >- + Retrieve file. + + Returns information about a specific file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: >- + An OpenAIFileDeleteResponse indicating successful deletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Delete file. + description: Delete file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + /v1/files/{file_id}/content: + get: + responses: + '200': + description: >- + The raw file content as a binary response. + content: + application/json: + schema: + $ref: '#/components/schemas/Response' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Files + summary: Retrieve file content. + description: >- + Retrieve file content. + + Returns the contents of the specified file. + parameters: + - name: file_id + in: path + description: >- + The ID of the file to use for this request. + required: true + schema: + type: string + deprecated: false + /v1/health: + get: + responses: + '200': + description: >- + Health information indicating if the service is operational. + content: + application/json: + schema: + $ref: '#/components/schemas/HealthInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: Get health status. + description: >- + Get health status. + + Get the current health status of the service. + parameters: [] + deprecated: false + /v1/inspect/routes: + get: + responses: + '200': + description: >- + Response containing information about all available routes. + content: + application/json: + schema: + $ref: '#/components/schemas/ListRoutesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: List routes. + description: >- + List routes. + + List all available API routes with their methods and implementing providers. + parameters: [] + deprecated: false + /v1/models: + get: + responses: + '200': + description: A ListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListModelsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: List all models. + description: List all models. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Register model. + description: >- + Register model. + + Register a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterModelRequest' + required: true + deprecated: false + /v1/models/{model_id}: + get: + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Get model. + description: >- + Get model. + + Get a model by its identifier. + parameters: + - name: model_id + in: path + description: The identifier of the model to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Models + summary: Unregister model. + description: >- + Unregister model. + + Unregister a model. + parameters: + - name: model_id + in: path + description: >- + The identifier of the model to unregister. + required: true + schema: + type: string + deprecated: false + /v1/moderations: + post: + responses: + '200': + description: A moderation object. + content: + application/json: + schema: + $ref: '#/components/schemas/ModerationObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Safety + summary: Create moderation. + description: >- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunModerationRequest' + required: true + deprecated: false + /v1/prompts: + get: + responses: + '200': + description: >- + A ListPromptsResponse containing all prompts. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: List all prompts. + description: List all prompts. + parameters: [] + deprecated: false + post: + responses: + '200': + description: The created Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Create prompt. + description: >- + Create prompt. + + Create a new prompt. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreatePromptRequest' + required: true + deprecated: false + /v1/prompts/{prompt_id}: + get: + responses: + '200': + description: A Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Get prompt. + description: >- + Get prompt. + + Get a prompt by its identifier and optional version. + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to get. + required: true + schema: + type: string + - name: version + in: query + description: >- + The version of the prompt to get (defaults to latest). + required: false + schema: + type: integer + deprecated: false + post: + responses: + '200': + description: >- + The updated Prompt resource with incremented version. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Update prompt. + description: >- + Update prompt. + + Update an existing prompt (increments version). + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/UpdatePromptRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Delete prompt. + description: >- + Delete prompt. + + Delete a prompt. + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt to delete. + required: true + schema: + type: string + deprecated: false + /v1/prompts/{prompt_id}/set-default-version: + post: + responses: + '200': + description: >- + The prompt with the specified version now set as default. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: Set prompt version. + description: >- + Set prompt version. + + Set which version of a prompt should be the default in get_prompt (latest). + parameters: + - name: prompt_id + in: path + description: The identifier of the prompt. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SetDefaultVersionRequest' + required: true + deprecated: false + /v1/prompts/{prompt_id}/versions: + get: + responses: + '200': + description: >- + A ListPromptsResponse containing all versions of the prompt. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Prompts + summary: List prompt versions. + description: >- + List prompt versions. + + List all versions of a specific prompt. + parameters: + - name: prompt_id + in: path + description: >- + The identifier of the prompt to list versions for. + required: true + schema: + type: string + deprecated: false + /v1/providers: + get: + responses: + '200': + description: >- + A ListProvidersResponse containing information about all providers. + content: + application/json: + schema: + $ref: '#/components/schemas/ListProvidersResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Providers + summary: List providers. + description: >- + List providers. + + List all available providers. + parameters: [] + deprecated: false + /v1/providers/{provider_id}: + get: + responses: + '200': + description: >- + A ProviderInfo object containing the provider's details. + content: + application/json: + schema: + $ref: '#/components/schemas/ProviderInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Providers + summary: Get provider. + description: >- + Get provider. + + Get detailed information about a specific provider. + parameters: + - name: provider_id + in: path + description: The ID of the provider to inspect. + required: true + schema: + type: string + deprecated: false + /v1/responses: + get: + responses: + '200': + description: A ListOpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all responses. + description: List all responses. + parameters: + - name: after + in: query + description: The ID of the last response to return. + required: false + schema: + type: string + - name: limit + in: query + description: The number of responses to return. + required: false + schema: + type: integer + - name: model + in: query + description: The model to filter responses by. + required: false + schema: + type: string + - name: order + in: query + description: >- + The order to sort responses by when sorted by created_at ('asc' or 'desc'). + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + post: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + text/event-stream: + schema: + $ref: '#/components/schemas/OpenAIResponseObjectStream' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a model response. + description: Create a model response. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateOpenaiResponseRequest' + required: true + deprecated: false + x-llama-stack-extra-body-params: + - name: guardrails + schema: + type: array + items: + oneOf: + - type: string + - $ref: '#/components/schemas/ResponseGuardrailSpec' + description: >- + List of guardrails to apply during response generation. Guardrails provide + safety and content moderation. + required: false + /v1/responses/{response_id}: + get: + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Get a model response. + description: Get a model response. + parameters: + - name: response_id + in: path + description: >- + The ID of the OpenAI response to retrieve. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: An OpenAIDeleteResponseObject + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIDeleteResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Delete a response. + description: Delete a response. + parameters: + - name: response_id + in: path + description: The ID of the OpenAI response to delete. + required: true + schema: + type: string + deprecated: false + /v1/responses/{response_id}/input_items: + get: + responses: + '200': + description: An ListOpenAIResponseInputItem. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIResponseInputItem' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List input items. + description: List input items. + parameters: + - name: response_id + in: path + description: >- + The ID of the response to retrieve input items for. + required: true + schema: + type: string + - name: after + in: query + description: >- + An item ID to list items after, used for pagination. + required: false + schema: + type: string + - name: before + in: query + description: >- + An item ID to list items before, used for pagination. + required: false + schema: + type: string + - name: include + in: query + description: >- + Additional fields to include in the response. + required: false + schema: + type: array + items: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + The order to return the input items in. Default is desc. + required: false + schema: + $ref: '#/components/schemas/Order' + deprecated: false + /v1/safety/run-shield: + post: + responses: + '200': + description: A RunShieldResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Safety + summary: Run shield. + description: >- + Run shield. + + Run a shield. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldRequest' + required: true + deprecated: false + /v1/scoring-functions: + get: + responses: + '200': + description: A ListScoringFunctionsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListScoringFunctionsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: List all scoring functions. + description: List all scoring functions. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Register a scoring function. + description: Register a scoring function. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterScoringFunctionRequest' + required: true + deprecated: false + /v1/scoring-functions/{scoring_fn_id}: + get: + responses: + '200': + description: A ScoringFn. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoringFn' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Get a scoring function by its ID. + description: Get a scoring function by its ID. + parameters: + - name: scoring_fn_id + in: path + description: The ID of the scoring function to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ScoringFunctions + summary: Unregister a scoring function. + description: Unregister a scoring function. + parameters: + - name: scoring_fn_id + in: path + description: >- + The ID of the scoring function to unregister. + required: true + schema: + type: string + deprecated: false + /v1/scoring/score: + post: + responses: + '200': + description: >- + A ScoreResponse object containing rows and aggregated results. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Scoring + summary: Score a list of rows. + description: Score a list of rows. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreRequest' + required: true + deprecated: false + /v1/scoring/score-batch: + post: + responses: + '200': + description: A ScoreBatchResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Scoring + summary: Score a batch of rows. + description: Score a batch of rows. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchRequest' + required: true + deprecated: false + /v1/shields: + get: + responses: + '200': + description: A ListShieldsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListShieldsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: List all shields. + description: List all shields. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Register a shield. + description: Register a shield. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterShieldRequest' + required: true + deprecated: false + /v1/shields/{identifier}: + get: + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Get a shield by its identifier. + description: Get a shield by its identifier. + parameters: + - name: identifier + in: path + description: The identifier of the shield to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Shields + summary: Unregister a shield. + description: Unregister a shield. + parameters: + - name: identifier + in: path + description: >- + The identifier of the shield to unregister. + required: true + schema: + type: string + deprecated: false + /v1/synthetic-data-generation/generate: + post: + responses: + '200': + description: >- + Response containing filtered synthetic data samples and optional statistics + content: + application/json: + schema: + $ref: '#/components/schemas/SyntheticDataGenerationResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - SyntheticDataGeneration (Coming Soon) + summary: >- + Generate synthetic data based on input dialogs and apply filtering. + description: >- + Generate synthetic data based on input dialogs and apply filtering. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SyntheticDataGenerateRequest' + required: true + deprecated: false + /v1/tool-runtime/invoke: + post: + responses: + '200': + description: A ToolInvocationResult. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolInvocationResult' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: Run a tool with the given arguments. + description: Run a tool with the given arguments. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InvokeToolRequest' + required: true + deprecated: false + /v1/tool-runtime/list-tools: + get: + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: List all tools in the runtime. + description: List all tools in the runtime. + parameters: + - name: tool_group_id + in: query + description: >- + The ID of the tool group to list tools for. + required: false + schema: + type: string + - name: mcp_endpoint + in: query + description: >- + The MCP endpoint to use for the tool group. + required: false + schema: + $ref: '#/components/schemas/URL' + deprecated: false + /v1/tool-runtime/rag-tool/insert: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: >- + Index documents so they can be used by the RAG system. + description: >- + Index documents so they can be used by the RAG system. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InsertRequest' + required: true + deprecated: false + /v1/tool-runtime/rag-tool/query: + post: + responses: + '200': + description: >- + RAGQueryResult containing the retrieved content and metadata + content: + application/json: + schema: + $ref: '#/components/schemas/RAGQueryResult' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolRuntime + summary: >- + Query the RAG system for context; typically invoked by the agent. + description: >- + Query the RAG system for context; typically invoked by the agent. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/QueryRequest' + required: true + deprecated: false + /v1/toolgroups: + get: + responses: + '200': + description: A ListToolGroupsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolGroupsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: List tool groups with optional provider. + description: List tool groups with optional provider. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Register a tool group. + description: Register a tool group. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterToolGroupRequest' + required: true + deprecated: false + /v1/toolgroups/{toolgroup_id}: + get: + responses: + '200': + description: A ToolGroup. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolGroup' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Get a tool group by its ID. + description: Get a tool group by its ID. + parameters: + - name: toolgroup_id + in: path + description: The ID of the tool group to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Unregister a tool group. + description: Unregister a tool group. + parameters: + - name: toolgroup_id + in: path + description: The ID of the tool group to unregister. + required: true + schema: + type: string + deprecated: false + /v1/tools: + get: + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: List tools with optional tool group. + description: List tools with optional tool group. + parameters: + - name: toolgroup_id + in: query + description: >- + The ID of the tool group to list tools for. + required: false + schema: + type: string + deprecated: false + /v1/tools/{tool_name}: + get: + responses: + '200': + description: A ToolDef. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolDef' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - ToolGroups + summary: Get a tool by its name. + description: Get a tool by its name. + parameters: + - name: tool_name + in: path + description: The name of the tool to get. + required: true + schema: + type: string + deprecated: false + /v1/vector-io/insert: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Insert chunks into a vector database. + description: Insert chunks into a vector database. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/InsertChunksRequest' + required: true + deprecated: false + /v1/vector-io/query: + post: + responses: + '200': + description: A QueryChunksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/QueryChunksResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Query chunks from a vector database. + description: Query chunks from a vector database. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/QueryChunksRequest' + required: true + deprecated: false + /v1/vector_stores: + get: + responses: + '200': + description: >- + A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Returns a list of vector stores. + description: Returns a list of vector stores. + parameters: + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Creates a vector store. + description: >- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}: + get: + responses: + '200': + description: >- + A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store. + description: Retrieves a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to retrieve. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store. + description: Updates a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: >- + A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store. + description: Delete a vector store. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to delete. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Create a vector store file batch. + description: >- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector + store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to create the file batch for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieve a vector store file batch. + description: Retrieve a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to retrieve. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + responses: + '200': + description: >- + A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Cancels a vector store file batch. + description: Cancels a vector store file batch. + parameters: + - name: batch_id + in: path + description: The ID of the file batch to cancel. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreFilesListInBatchResponse containing the list of files in + the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Returns a list of vector store files in a batch. + description: >- + Returns a list of vector store files in a batch. + parameters: + - name: batch_id + in: path + description: >- + The ID of the file batch to list files from. + required: true + schema: + type: string + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file batch. + required: true + schema: + type: string + - name: after + in: query + description: >- + A cursor for use in pagination. `after` is an object ID that defines your + place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + A cursor for use in pagination. `before` is an object ID that defines + your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + Filter by file status. One of in_progress, completed, failed, cancelled. + required: false + schema: + type: string + - name: limit + in: query + description: >- + A limit on the number of objects to be returned. Limit can range between + 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + Sort order by the `created_at` timestamp of the objects. `asc` for ascending + order and `desc` for descending order. + required: false + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/files: + get: + responses: + '200': + description: >- + A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: List files in a vector store. + description: List files in a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to list files from. + required: true + schema: + type: string + - name: limit + in: query + description: >- + (Optional) A limit on the number of objects to be returned. Limit can + range between 1 and 100, and the default is 20. + required: false + schema: + type: integer + - name: order + in: query + description: >- + (Optional) Sort order by the `created_at` timestamp of the objects. `asc` + for ascending order and `desc` for descending order. + required: false + schema: + type: string + - name: after + in: query + description: >- + (Optional) A cursor for use in pagination. `after` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: before + in: query + description: >- + (Optional) A cursor for use in pagination. `before` is an object ID that + defines your place in the list. + required: false + schema: + type: string + - name: filter + in: query + description: >- + (Optional) Filter by file status to only return files with the specified + status. + required: false + schema: + $ref: '#/components/schemas/VectorStoreFileStatus' + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Attach a file to a vector store. + description: Attach a file to a vector store. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store to attach the file to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' + required: true + deprecated: false + /v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + responses: + '200': + description: >- + A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Retrieves a vector store file. + description: Retrieves a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: false + post: + responses: + '200': + description: >- + A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Updates a vector store file. + description: Updates a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to update. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to update. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' + required: true + deprecated: false + delete: + responses: + '200': + description: >- + A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Delete a vector store file. + description: Delete a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to delete. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to delete. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + responses: + '200': + description: >- + A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: >- + Retrieves the contents of a vector store file. + description: >- + Retrieves the contents of a vector store file. + parameters: + - name: vector_store_id + in: path + description: >- + The ID of the vector store containing the file to retrieve. + required: true + schema: + type: string + - name: file_id + in: path + description: The ID of the file to retrieve. + required: true + schema: + type: string + deprecated: false + /v1/vector_stores/{vector_store_id}/search: + post: + responses: + '200': + description: >- + A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - VectorIO + summary: Search for chunks in a vector store. + description: >- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional + file attribute filters. + parameters: + - name: vector_store_id + in: path + description: The ID of the vector store to search. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + required: true + deprecated: false + /v1/version: + get: + responses: + '200': + description: >- + Version information containing the service version number. + content: + application/json: + schema: + $ref: '#/components/schemas/VersionInfo' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inspect + summary: Get version. + description: >- + Get version. + + Get the version of the service. + parameters: [] + deprecated: false + /v1beta/datasetio/append-rows/{dataset_id}: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: Append rows to a dataset. + description: Append rows to a dataset. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to append the rows to. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/AppendRowsRequest' + required: true + deprecated: false + /v1beta/datasetio/iterrows/{dataset_id}: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - DatasetIO + summary: >- + Get a paginated list of rows from a dataset. + description: >- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + + - start_index: The starting index (0-based). If None, starts from beginning. + + - limit: Number of items to return. If None or -1, returns all items. + + + The response includes: + + - data: List of items for the current page. + + - has_more: Whether there are more items available after this set. + parameters: + - name: dataset_id + in: path + description: >- + The ID of the dataset to get the rows from. + required: true + schema: + type: string + - name: start_index + in: query + description: >- + Index into dataset for the first row to get. Get all rows if None. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of rows to get. + required: false + schema: + type: integer + deprecated: false + /v1beta/datasets: + get: + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: List all datasets. + description: List all datasets. + parameters: [] + deprecated: false + post: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Register a new dataset. + description: Register a new dataset. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterDatasetRequest' + required: true + deprecated: false + /v1beta/datasets/{dataset_id}: + get: + responses: + '200': + description: A Dataset. + content: + application/json: + schema: + $ref: '#/components/schemas/Dataset' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Get a dataset by its ID. + description: Get a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Datasets + summary: Unregister a dataset by its ID. + description: Unregister a dataset by its ID. + parameters: + - name: dataset_id + in: path + description: The ID of the dataset to unregister. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all agents. + description: List all agents. + parameters: + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of agents to return. + required: false + schema: + type: integer + deprecated: false + post: + responses: + '200': + description: >- + An AgentCreateResponse with the agent ID. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Create an agent with the given configuration. + description: >- + Create an agent with the given configuration. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}: + get: + responses: + '200': + description: An Agent of the agent. + content: + application/json: + schema: + $ref: '#/components/schemas/Agent' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Describe an agent by its ID. + description: Describe an agent by its ID. + parameters: + - name: agent_id + in: path + description: ID of the agent. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent by its ID and its associated sessions and turns. + description: >- + Delete an agent by its ID and its associated sessions and turns. + parameters: + - name: agent_id + in: path + description: The ID of the agent to delete. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session: + post: + responses: + '200': + description: An AgentSessionCreateResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentSessionCreateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new session for an agent. + description: Create a new session for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the session for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentSessionRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}: + get: + responses: + '200': + description: A Session. + content: + application/json: + schema: + $ref: '#/components/schemas/Session' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent session by its ID. + description: Retrieve an agent session by its ID. + parameters: + - name: session_id + in: path + description: The ID of the session to get. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to get the session for. + required: true + schema: + type: string + - name: turn_ids + in: query + description: >- + (Optional) List of turn IDs to filter the session by. + required: false + schema: + type: array + items: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Delete an agent session by its ID and its associated turns. + description: >- + Delete an agent session by its ID and its associated turns. + parameters: + - name: session_id + in: path + description: The ID of the session to delete. + required: true + schema: + type: string + - name: agent_id + in: path + description: >- + The ID of the agent to delete the session for. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn: + post: + responses: + '200': + description: >- + If stream=False, returns a Turn object. If stream=True, returns an SSE + event stream of AgentTurnResponseStreamChunk. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Create a new turn for an agent. + description: Create a new turn for an agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to create the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to create the turn for. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CreateAgentTurnRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}: + get: + responses: + '200': + description: A Turn. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent turn by its ID. + description: Retrieve an agent turn by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the turn for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the turn for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}/resume: + post: + responses: + '200': + description: >- + A Turn object if stream is False, otherwise an AsyncIterator of AgentTurnResponseStreamChunk + objects. + content: + application/json: + schema: + $ref: '#/components/schemas/Turn' + text/event-stream: + schema: + $ref: '#/components/schemas/AgentTurnResponseStreamChunk' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: >- + Resume an agent turn with executed tool call responses. + description: >- + Resume an agent turn with executed tool call responses. + + When a Turn has the status `awaiting_input` due to pending input from client + side tool calls, this endpoint can be used to submit the outputs from the + tool calls once they are ready. + parameters: + - name: agent_id + in: path + description: The ID of the agent to resume. + required: true + schema: + type: string + - name: session_id + in: path + description: The ID of the session to resume. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to resume. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/ResumeAgentTurnRequest' + required: true + deprecated: false + /v1alpha/agents/{agent_id}/session/{session_id}/turn/{turn_id}/step/{step_id}: + get: + responses: + '200': + description: An AgentStepResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/AgentStepResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: Retrieve an agent step by its ID. + description: Retrieve an agent step by its ID. + parameters: + - name: agent_id + in: path + description: The ID of the agent to get the step for. + required: true + schema: + type: string + - name: session_id + in: path + description: >- + The ID of the session to get the step for. + required: true + schema: + type: string + - name: turn_id + in: path + description: The ID of the turn to get the step for. + required: true + schema: + type: string + - name: step_id + in: path + description: The ID of the step to get. + required: true + schema: + type: string + deprecated: false + /v1alpha/agents/{agent_id}/sessions: + get: + responses: + '200': + description: A PaginatedResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PaginatedResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Agents + summary: List all session(s) of a given agent. + description: List all session(s) of a given agent. + parameters: + - name: agent_id + in: path + description: >- + The ID of the agent to list sessions for. + required: true + schema: + type: string + - name: start_index + in: query + description: The index to start the pagination from. + required: false + schema: + type: integer + - name: limit + in: query + description: The number of sessions to return. + required: false + schema: + type: integer + deprecated: false + /v1alpha/eval/benchmarks: + get: + responses: + '200': + description: A ListBenchmarksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListBenchmarksResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: List all benchmarks. + description: List all benchmarks. + parameters: [] + deprecated: false + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Register a benchmark. + description: Register a benchmark. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RegisterBenchmarkRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}: + get: + responses: + '200': + description: A Benchmark. + content: + application/json: + schema: + $ref: '#/components/schemas/Benchmark' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Get a benchmark by its ID. + description: Get a benchmark by its ID. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to get. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Benchmarks + summary: Unregister a benchmark. + description: Unregister a benchmark. + parameters: + - name: benchmark_id + in: path + description: The ID of the benchmark to unregister. + required: true + schema: + type: string + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: + post: + responses: + '200': + description: >- + EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Evaluate a list of rows on a benchmark. + description: Evaluate a list of rows on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateRowsRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs: + post: + responses: + '200': + description: >- + The job that was created to run the evaluation. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Run an evaluation on a benchmark. + description: Run an evaluation on a benchmark. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RunEvalRequest' + required: true + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}: + get: + responses: + '200': + description: The status of the evaluation job. + content: + application/json: + schema: + $ref: '#/components/schemas/Job' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the status of a job. + description: Get the status of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the status of. + required: true + schema: + type: string + deprecated: false + delete: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Cancel a job. + description: Cancel a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to cancel. + required: true + schema: + type: string + deprecated: false + /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: + get: + responses: + '200': + description: The result of the job. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Eval + summary: Get the result of a job. + description: Get the result of a job. + parameters: + - name: benchmark_id + in: path + description: >- + The ID of the benchmark to run the evaluation on. + required: true + schema: + type: string + - name: job_id + in: path + description: The ID of the job to get the result of. + required: true + schema: + type: string + deprecated: false + /v1alpha/inference/rerank: + post: + responses: + '200': + description: >- + RerankResponse with indices sorted by relevance score (descending). + content: + application/json: + schema: + $ref: '#/components/schemas/RerankResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - Inference + summary: >- + Rerank a list of documents based on their relevance to a query. + description: >- + Rerank a list of documents based on their relevance to a query. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/RerankRequest' + required: true + deprecated: false + /v1alpha/post-training/job/artifacts: + get: + responses: + '200': + description: A PostTrainingJobArtifactsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the artifacts of a training job. + description: Get the artifacts of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the artifacts of. + required: true + schema: + type: string + deprecated: false + /v1alpha/post-training/job/cancel: + post: + responses: + '200': + description: OK + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Cancel a training job. + description: Cancel a training job. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CancelTrainingJobRequest' + required: true + deprecated: false + /v1alpha/post-training/job/status: + get: + responses: + '200': + description: A PostTrainingJobStatusResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJobStatusResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get the status of a training job. + description: Get the status of a training job. + parameters: + - name: job_uuid + in: query + description: >- + The UUID of the job to get the status of. + required: true + schema: + type: string + deprecated: false + /v1alpha/post-training/jobs: + get: + responses: + '200': + description: A ListPostTrainingJobsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPostTrainingJobsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Get all training jobs. + description: Get all training jobs. + parameters: [] + deprecated: false + /v1alpha/post-training/preference-optimize: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run preference optimization of a model. + description: Run preference optimization of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/PreferenceOptimizeRequest' + required: true + deprecated: false + /v1alpha/post-training/supervised-fine-tune: + post: + responses: + '200': + description: A PostTrainingJob. + content: + application/json: + schema: + $ref: '#/components/schemas/PostTrainingJob' + '400': + $ref: '#/components/responses/BadRequest400' + '429': + $ref: >- + #/components/responses/TooManyRequests429 + '500': + $ref: >- + #/components/responses/InternalServerError500 + default: + $ref: '#/components/responses/DefaultError' + tags: + - PostTraining (Coming Soon) + summary: Run supervised fine-tuning of a model. + description: Run supervised fine-tuning of a model. + parameters: [] + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/SupervisedFineTuneRequest' + required: true + deprecated: false +jsonSchemaDialect: >- + https://json-schema.org/draft/2020-12/schema +components: + schemas: + Error: + type: object + properties: + status: + type: integer + description: HTTP status code + title: + type: string + description: >- + Error title, a short summary of the error which is invariant for an error + type + detail: + type: string + description: >- + Error detail, a longer human-readable description of the error + instance: + type: string + description: >- + (Optional) A URL which can be used to retrieve more information about + the specific occurrence of the error + additionalProperties: false + required: + - status + - title + - detail + title: Error + description: >- + Error response from the API. Roughly follows RFC 7807. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + ListOpenAIChatCompletionResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + description: >- + List of chat completion objects with their input messages + has_more: + type: boolean + description: >- + Whether there are more completions available beyond this list + first_id: + type: string + description: ID of the first completion in this list + last_id: + type: string + description: ID of the last completion in this list + object: + type: string + const: list + default: list + description: >- + Must be "list" to identify this as a list response + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIChatCompletionResponse + description: >- + Response from listing OpenAI-compatible chat completions. + OpenAIAssistantMessageParam: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the model's response + name: + type: string + description: >- + (Optional) The name of the assistant message participant. + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: >- + List of tool calls. Each tool call is an OpenAIChatCompletionToolCall + object. + additionalProperties: false + required: + - role + title: OpenAIAssistantMessageParam + description: >- + A message containing the model's (assistant) response in an OpenAI-compatible + chat completion request. + "OpenAIChatCompletionContentPartImageParam": + type: object + properties: + type: + type: string + const: image_url + default: image_url + description: >- + Must be "image_url" to identify this as image content + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + description: >- + Image URL specification and processing details + additionalProperties: false + required: + - type + - image_url + title: >- + OpenAIChatCompletionContentPartImageParam + description: >- + Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartParam: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + file: '#/components/schemas/OpenAIFile' + OpenAIChatCompletionContentPartTextParam: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to identify this as text content + text: + type: string + description: The text content of the message + additionalProperties: false + required: + - type + - text + title: OpenAIChatCompletionContentPartTextParam + description: >- + Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionToolCall: + type: object + properties: + index: + type: integer + description: >- + (Optional) Index of the tool call in the list + id: + type: string + description: >- + (Optional) Unique identifier for the tool call + type: + type: string + const: function + default: function + description: >- + Must be "function" to identify this as a function call + function: + $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + description: (Optional) Function call details + additionalProperties: false + required: + - type + title: OpenAIChatCompletionToolCall + description: >- + Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: + type: object + properties: + name: + type: string + description: (Optional) Name of the function to call + arguments: + type: string + description: >- + (Optional) Arguments to pass to the function as a JSON string + additionalProperties: false + title: OpenAIChatCompletionToolCallFunction + description: >- + Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: + type: object + properties: + prompt_tokens: + type: integer + description: Number of tokens in the prompt + completion_tokens: + type: integer + description: Number of tokens in the completion + total_tokens: + type: integer + description: Total tokens used (prompt + completion) + prompt_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + title: >- + OpenAIChatCompletionUsagePromptTokensDetails + description: >- + Token details for prompt tokens in OpenAI chat completion usage. + completion_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + title: >- + OpenAIChatCompletionUsageCompletionTokensDetails + description: >- + Token details for output tokens in OpenAI chat completion usage. + additionalProperties: false + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: >- + Usage information for OpenAI chat completion. + OpenAIChoice: + type: object + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + description: The message from the model + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: >- + A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs: + type: object + properties: + content: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + refusal: + type: array + items: + $ref: '#/components/schemas/OpenAITokenLogProb' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + title: OpenAIChoiceLogprobs + description: >- + The log probabilities for the tokens in the message from an OpenAI-compatible + chat completion response. + OpenAIDeveloperMessageParam: + type: object + properties: + role: + type: string + const: developer + default: developer + description: >- + Must be "developer" to identify this as a developer message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The content of the developer message + name: + type: string + description: >- + (Optional) The name of the developer message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIDeveloperMessageParam + description: >- + A message from the developer in an OpenAI-compatible chat completion request. + OpenAIFile: + type: object + properties: + type: + type: string + const: file + default: file + file: + $ref: '#/components/schemas/OpenAIFileFile' + additionalProperties: false + required: + - type + - file + title: OpenAIFile + OpenAIFileFile: + type: object + properties: + file_data: + type: string + file_id: + type: string + filename: + type: string + additionalProperties: false + title: OpenAIFileFile + OpenAIImageURL: + type: object + properties: + url: + type: string + description: >- + URL of the image to include in the message + detail: + type: string + description: >- + (Optional) Level of detail for image processing. Can be "low", "high", + or "auto" + additionalProperties: false + required: + - url + title: OpenAIImageURL + description: >- + Image URL specification for OpenAI-compatible chat completion messages. + OpenAIMessageParam: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/OpenAIUserMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAISystemMessageParam: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + name: + type: string + description: >- + (Optional) The name of the system message participant. + additionalProperties: false + required: + - role + - content + title: OpenAISystemMessageParam + description: >- + A system message providing instructions or context to the model. + OpenAITokenLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + top_logprobs: + type: array + items: + $ref: '#/components/schemas/OpenAITopLogProb' + additionalProperties: false + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: >- + The log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIToolMessageParam: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + tool_call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + description: The response content from the tool + additionalProperties: false + required: + - role + - tool_call_id + - content + title: OpenAIToolMessageParam + description: >- + A message representing the result of a tool invocation in an OpenAI-compatible + chat completion request. + OpenAITopLogProb: + type: object + properties: + token: + type: string + bytes: + type: array + items: + type: integer + logprob: + type: number + additionalProperties: false + required: + - token + - logprob + title: OpenAITopLogProb + description: >- + The top log probability for a token from an OpenAI-compatible chat completion + response. + OpenAIUserMessageParam: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' + description: >- + The content of the message, which can include text and other media + name: + type: string + description: >- + (Optional) The name of the user message participant. + additionalProperties: false + required: + - role + - content + title: OpenAIUserMessageParam + description: >- + A message from the user in an OpenAI-compatible chat completion request. + OpenAIJSONSchema: + type: object + properties: + name: + type: string + description: Name of the schema + description: + type: string + description: (Optional) Description of the schema + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict adherence to the schema + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The JSON schema definition + additionalProperties: false + required: + - name + title: OpenAIJSONSchema + description: >- + JSON schema specification for OpenAI-compatible structured response format. + OpenAIResponseFormatJSONObject: + type: object + properties: + type: + type: string + const: json_object + default: json_object + description: >- + Must be "json_object" to indicate generic JSON object response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatJSONObject + description: >- + JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: + type: object + properties: + type: + type: string + const: json_schema + default: json_schema + description: >- + Must be "json_schema" to indicate structured JSON response format + json_schema: + $ref: '#/components/schemas/OpenAIJSONSchema' + description: >- + The JSON schema specification for the response + additionalProperties: false + required: + - type + - json_schema + title: OpenAIResponseFormatJSONSchema + description: >- + JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatParam: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/OpenAIResponseFormatText' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + OpenAIResponseFormatText: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Must be "text" to indicate plain text response format + additionalProperties: false + required: + - type + title: OpenAIResponseFormatText + description: >- + Text response format for OpenAI-compatible chat completion requests. + OpenAIChatCompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + description: List of messages in the conversation. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + function_call: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The function call to use. + functions: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) List of functions to use. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_completion_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + parallel_tool_calls: + type: boolean + description: >- + (Optional) Whether to parallelize tool calls. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + response_format: + $ref: '#/components/schemas/OpenAIResponseFormatParam' + description: (Optional) The response format to use. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + tool_choice: + oneOf: + - type: string + - type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tool choice to use. + tools: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The tools to use. + top_logprobs: + type: integer + description: >- + (Optional) The top log probabilities to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + additionalProperties: false + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletion: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletion + description: >- + Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionChunk: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + description: List of choices + object: + type: string + const: chat.completion.chunk + default: chat.completion.chunk + description: >- + The object type, which will be "chat.completion.chunk" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information (typically included in final chunk with stream_options) + additionalProperties: false + required: + - id + - choices + - object + - created + - model + title: OpenAIChatCompletionChunk + description: >- + Chunk from a streaming response to an OpenAI-compatible chat completion request. + OpenAIChoiceDelta: + type: object + properties: + content: + type: string + description: (Optional) The content of the delta + refusal: + type: string + description: (Optional) The refusal of the delta + role: + type: string + description: (Optional) The role of the delta + tool_calls: + type: array + items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + description: (Optional) The tool calls of the delta + reasoning_content: + type: string + description: >- + (Optional) The reasoning content from the model (non-standard, for o1/o3 + models) + additionalProperties: false + title: OpenAIChoiceDelta + description: >- + A delta from an OpenAI-compatible chat completion streaming response. + OpenAIChunkChoice: + type: object + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + description: The delta from the chunk + finish_reason: + type: string + description: The reason the model stopped generating + index: + type: integer + description: The index of the choice + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + description: >- + (Optional) The log probabilities for the tokens in the message + additionalProperties: false + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + description: >- + A chunk choice from an OpenAI-compatible chat completion streaming response. + OpenAICompletionWithInputMessages: + type: object + properties: + id: + type: string + description: The ID of the chat completion + choices: + type: array + items: + $ref: '#/components/schemas/OpenAIChoice' + description: List of choices + object: + type: string + const: chat.completion + default: chat.completion + description: >- + The object type, which will be "chat.completion" + created: + type: integer + description: >- + The Unix timestamp in seconds when the chat completion was created + model: + type: string + description: >- + The model that was used to generate the chat completion + usage: + $ref: '#/components/schemas/OpenAIChatCompletionUsage' + description: >- + Token usage information for the completion + input_messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + additionalProperties: false + required: + - id + - choices + - object + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICompletionRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be registered with + Llama Stack and available via the /models endpoint. + prompt: + oneOf: + - type: string + - type: array + items: + type: string + - type: array + items: + type: integer + - type: array + items: + type: array + items: + type: integer + description: The prompt to generate a completion for. + best_of: + type: integer + description: >- + (Optional) The number of completions to generate. + echo: + type: boolean + description: (Optional) Whether to echo the prompt. + frequency_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + logit_bias: + type: object + additionalProperties: + type: number + description: (Optional) The logit bias to use. + logprobs: + type: boolean + description: (Optional) The log probabilities to use. + max_tokens: + type: integer + description: >- + (Optional) The maximum number of tokens to generate. + n: + type: integer + description: >- + (Optional) The number of completions to generate. + presence_penalty: + type: number + description: >- + (Optional) The penalty for repeated tokens. + seed: + type: integer + description: (Optional) The seed to use. + stop: + oneOf: + - type: string + - type: array + items: + type: string + description: (Optional) The stop tokens to use. + stream: + type: boolean + description: >- + (Optional) Whether to stream the response. + stream_options: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) The stream options to use. + temperature: + type: number + description: (Optional) The temperature to use. + top_p: + type: number + description: (Optional) The top p to use. + user: + type: string + description: (Optional) The user to use. + suffix: + type: string + description: >- + (Optional) The suffix that should be appended to the completion. + additionalProperties: false + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletion: + type: object + properties: + id: + type: string + choices: + type: array + items: + $ref: '#/components/schemas/OpenAICompletionChoice' + created: + type: integer + model: + type: string + object: + type: string + const: text_completion + default: text_completion + additionalProperties: false + required: + - id + - choices + - created + - model + - object + title: OpenAICompletion + description: >- + Response from an OpenAI-compatible completion request. + OpenAICompletionChoice: + type: object + properties: + finish_reason: + type: string + text: + type: string + index: + type: integer + logprobs: + $ref: '#/components/schemas/OpenAIChoiceLogprobs' + additionalProperties: false + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: >- + A choice from an OpenAI-compatible completion response. + ConversationItem: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + OpenAIResponseAnnotationCitation: + type: object + properties: + type: + type: string + const: url_citation + default: url_citation + description: >- + Annotation type identifier, always "url_citation" + end_index: + type: integer + description: >- + End position of the citation span in the content + start_index: + type: integer + description: >- + Start position of the citation span in the content + title: + type: string + description: Title of the referenced web resource + url: + type: string + description: URL of the referenced web resource + additionalProperties: false + required: + - type + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: >- + URL citation annotation for referencing external web resources. + "OpenAIResponseAnnotationContainerFileCitation": + type: object + properties: + type: + type: string + const: container_file_citation + default: container_file_citation + container_id: + type: string + end_index: + type: integer + file_id: + type: string + filename: + type: string + start_index: + type: integer + additionalProperties: false + required: + - type + - container_id + - end_index + - file_id + - filename + - start_index + title: >- + OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + type: object + properties: + type: + type: string + const: file_citation + default: file_citation + description: >- + Annotation type identifier, always "file_citation" + file_id: + type: string + description: Unique identifier of the referenced file + filename: + type: string + description: Name of the referenced file + index: + type: integer + description: >- + Position index of the citation within the content + additionalProperties: false + required: + - type + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: >- + File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + type: object + properties: + type: + type: string + const: file_path + default: file_path + file_id: + type: string + index: + type: integer + additionalProperties: false + required: + - type + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseAnnotations: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. + "OpenAIResponseInputFunctionToolCallOutput": + type: object + properties: + call_id: + type: string + output: + type: string + type: + type: string + const: function_call_output + default: function_call_output + id: + type: string + status: + type: string + additionalProperties: false + required: + - call_id + - output + - type + title: >- + OpenAIResponseInputFunctionToolCallOutput + description: >- + This represents the output of a function call that gets passed back to the + model. + OpenAIResponseInputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + discriminator: + propertyName: type + mapping: + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + OpenAIResponseInputMessageContentImage: + type: object + properties: + detail: + oneOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + default: auto + description: >- + Level of detail for image processing, can be "low", "high", or "auto" + type: + type: string + const: input_image + default: input_image + description: >- + Content type identifier, always "input_image" + image_url: + type: string + description: (Optional) URL of the image content + additionalProperties: false + required: + - detail + - type + title: OpenAIResponseInputMessageContentImage + description: >- + Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: + type: object + properties: + text: + type: string + description: The text content of the input message + type: + type: string + const: input_text + default: input_text + description: >- + Content type identifier, always "input_text" + additionalProperties: false + required: + - text + - type + title: OpenAIResponseInputMessageContentText + description: >- + Text content for input messages in OpenAI response format. + OpenAIResponseMCPApprovalRequest: + type: object + properties: + arguments: + type: string + id: + type: string + name: + type: string + server_label: + type: string + type: + type: string + const: mcp_approval_request + default: mcp_approval_request + additionalProperties: false + required: + - arguments + - id + - name + - server_label + - type + title: OpenAIResponseMCPApprovalRequest + description: >- + A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + type: object + properties: + approval_request_id: + type: string + approve: + type: boolean + type: + type: string + const: mcp_approval_response + default: mcp_approval_response + id: + type: string + reason: + type: string + additionalProperties: false + required: + - approval_request_id + - approve + - type + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage: + type: object + properties: + content: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputMessageContent' + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageContent' + role: + oneOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + type: + type: string + const: message + default: message + id: + type: string + status: + type: string + additionalProperties: false + required: + - content + - role + - type + title: OpenAIResponseMessage + description: >- + Corresponds to the various Message types in the Responses API. They are all + under one type because the Responses API gives them all the same "type" value, + and there is no way to tell them apart in certain scenarios. + OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": + type: object + properties: + text: + type: string + type: + type: string + const: output_text + default: output_text + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + additionalProperties: false + required: + - text + - type + - annotations + title: >- + OpenAIResponseOutputMessageContentOutputText + "OpenAIResponseOutputMessageFileSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + queries: + type: array + items: + type: string + description: List of search queries executed + status: + type: string + description: >- + Current status of the file search operation + type: + type: string + const: file_search_call + default: file_search_call + description: >- + Tool call type identifier, always "file_search_call" + results: + type: array + items: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes associated with the file + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: >- + Relevance score for this search result (between 0 and 1) + text: + type: string + description: Text content of the search result + additionalProperties: false + required: + - attributes + - file_id + - filename + - score + - text + title: >- + OpenAIResponseOutputMessageFileSearchToolCallResults + description: >- + Search results returned by the file search operation. + description: >- + (Optional) Search results returned by the file search operation + additionalProperties: false + required: + - id + - queries + - status + - type + title: >- + OpenAIResponseOutputMessageFileSearchToolCall + description: >- + File search tool call output message for OpenAI responses. + "OpenAIResponseOutputMessageFunctionToolCall": + type: object + properties: + call_id: + type: string + description: Unique identifier for the function call + name: + type: string + description: Name of the function being called + arguments: + type: string + description: >- + JSON string containing the function arguments + type: + type: string + const: function_call + default: function_call + description: >- + Tool call type identifier, always "function_call" + id: + type: string + description: >- + (Optional) Additional identifier for the tool call + status: + type: string + description: >- + (Optional) Current status of the function call execution + additionalProperties: false + required: + - call_id + - name + - arguments + - type + title: >- + OpenAIResponseOutputMessageFunctionToolCall + description: >- + Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + type: object + properties: + id: + type: string + description: Unique identifier for this MCP call + type: + type: string + const: mcp_call + default: mcp_call + description: >- + Tool call type identifier, always "mcp_call" + arguments: + type: string + description: >- + JSON string containing the MCP call arguments + name: + type: string + description: Name of the MCP method being called + server_label: + type: string + description: >- + Label identifying the MCP server handling the call + error: + type: string + description: >- + (Optional) Error message if the MCP call failed + output: + type: string + description: >- + (Optional) Output result from the successful MCP call + additionalProperties: false + required: + - id + - type + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: >- + Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + type: object + properties: + id: + type: string + description: >- + Unique identifier for this MCP list tools operation + type: + type: string + const: mcp_list_tools + default: mcp_list_tools + description: >- + Tool call type identifier, always "mcp_list_tools" + server_label: + type: string + description: >- + Label identifying the MCP server providing the tools + tools: + type: array + items: + type: object + properties: + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + JSON schema defining the tool's input parameters + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Description of what the tool does + additionalProperties: false + required: + - input_schema + - name + title: MCPListToolsTool + description: >- + Tool definition returned by MCP list tools operation. + description: >- + List of available tools provided by the MCP server + additionalProperties: false + required: + - id + - type + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: >- + MCP list tools output message containing available tools from an MCP server. + "OpenAIResponseOutputMessageWebSearchToolCall": + type: object + properties: + id: + type: string + description: Unique identifier for this tool call + status: + type: string + description: >- + Current status of the web search operation + type: + type: string + const: web_search_call + default: web_search_call + description: >- + Tool call type identifier, always "web_search_call" + additionalProperties: false + required: + - id + - status + - type + title: >- + OpenAIResponseOutputMessageWebSearchToolCall + description: >- + Web search tool call output message for OpenAI responses. + CreateConversationRequest: + type: object + properties: + items: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + description: >- + Initial items to include in the conversation context. + metadata: + type: object + additionalProperties: + type: string + description: >- + Set of key-value pairs that can be attached to an object. + additionalProperties: false + title: CreateConversationRequest + Conversation: + type: object + properties: + id: + type: string + object: + type: string + const: conversation + default: conversation + created_at: + type: integer + metadata: + type: object + additionalProperties: + type: string + items: + type: array + items: + type: object + title: dict + description: >- + dict() -> new empty dictionary dict(mapping) -> new dictionary initialized + from a mapping object's (key, value) pairs dict(iterable) -> new + dictionary initialized as if via: d = {} for k, v in iterable: d[k] + = v dict(**kwargs) -> new dictionary initialized with the name=value + pairs in the keyword argument list. For example: dict(one=1, two=2) + additionalProperties: false + required: + - id + - object + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + UpdateConversationRequest: + type: object + properties: + metadata: + type: object + additionalProperties: + type: string + description: >- + Set of key-value pairs that can be attached to an object. + additionalProperties: false + required: + - metadata + title: UpdateConversationRequest + ConversationDeletedResource: + type: object + properties: + id: + type: string + object: + type: string + default: conversation.deleted + deleted: + type: boolean + default: true + additionalProperties: false + required: + - id + - object + - deleted + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemList: + type: object + properties: + object: + type: string + default: list + data: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + first_id: + type: string + last_id: + type: string + has_more: + type: boolean + default: false + additionalProperties: false + required: + - object + - data + - has_more + title: ConversationItemList + description: >- + List of conversation items with pagination. + AddItemsRequest: + type: object + properties: + items: + type: array + items: + $ref: '#/components/schemas/ConversationItem' + description: >- + Items to include in the conversation context. + additionalProperties: false + required: + - items + title: AddItemsRequest + ConversationItemDeletedResource: + type: object + properties: + id: + type: string + object: + type: string + default: conversation.item.deleted + deleted: + type: boolean + default: true + additionalProperties: false + required: + - id + - object + - deleted + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + OpenAIEmbeddingsRequestWithExtraBody: + type: object + properties: + model: + type: string + description: >- + The identifier of the model to use. The model must be an embedding model + registered with Llama Stack and available via the /models endpoint. + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input text to embed, encoded as a string or array of strings. To embed + multiple inputs in a single request, pass an array of strings. + encoding_format: + type: string + default: float + description: >- + (Optional) The format to return the embeddings in. Can be either "float" + or "base64". Defaults to "float". + dimensions: + type: integer + description: >- + (Optional) The number of dimensions the resulting output embeddings should + have. Only supported in text-embedding-3 and later models. + user: + type: string + description: >- + (Optional) A unique identifier representing your end-user, which can help + OpenAI to monitor and detect abuse. + additionalProperties: false + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: >- + Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingData: + type: object + properties: + object: + type: string + const: embedding + default: embedding + description: >- + The object type, which will be "embedding" + embedding: + oneOf: + - type: array + items: + type: number + - type: string + description: >- + The embedding vector as a list of floats (when encoding_format="float") + or as a base64-encoded string (when encoding_format="base64") + index: + type: integer + description: >- + The index of the embedding in the input list + additionalProperties: false + required: + - object + - embedding + - index + title: OpenAIEmbeddingData + description: >- + A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + type: object + properties: + prompt_tokens: + type: integer + description: The number of tokens in the input + total_tokens: + type: integer + description: The total number of tokens used + additionalProperties: false + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: >- + Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsResponse: + type: object + properties: + object: + type: string + const: list + default: list + description: The object type, which will be "list" + data: + type: array + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + description: List of embedding data objects + model: + type: string + description: >- + The model that was used to generate the embeddings + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + description: Usage information + additionalProperties: false + required: + - object + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: >- + Response from an OpenAI-compatible embeddings request. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: >- + Valid purpose values for OpenAI Files API. + ListOpenAIFileResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIFileObject' + description: List of file objects + has_more: + type: boolean + description: >- + Whether there are more files available beyond this page + first_id: + type: string + description: >- + ID of the first file in the list for pagination + last_id: + type: string + description: >- + ID of the last file in the list for pagination + object: + type: string + const: list + default: list + description: The object type, which is always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIFileResponse + description: >- + Response for listing files in OpenAI Files API. + OpenAIFileObject: + type: object + properties: + object: + type: string + const: file + default: file + description: The object type, which is always "file" + id: + type: string + description: >- + The file identifier, which can be referenced in the API endpoints + bytes: + type: integer + description: The size of the file, in bytes + created_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file was created + expires_at: + type: integer + description: >- + The Unix timestamp (in seconds) for when the file expires + filename: + type: string + description: The name of the file + purpose: + type: string + enum: + - assistants + - batch + description: The intended purpose of the file + additionalProperties: false + required: + - object + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: >- + OpenAI File object as defined in the OpenAI Files API. + ExpiresAfter: + type: object + properties: + anchor: + type: string + const: created_at + seconds: + type: integer + additionalProperties: false + required: + - anchor + - seconds + title: ExpiresAfter + description: >- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + OpenAIFileDeleteResponse: + type: object + properties: + id: + type: string + description: The file identifier that was deleted + object: + type: string + const: file + default: file + description: The object type, which is always "file" + deleted: + type: boolean + description: >- + Whether the file was successfully deleted + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIFileDeleteResponse + description: >- + Response for deleting a file in OpenAI Files API. + Response: + type: object + title: Response + HealthInfo: + type: object + properties: + status: + type: string + enum: + - OK + - Error + - Not Implemented + description: Current health status of the service + additionalProperties: false + required: + - status + title: HealthInfo + description: >- + Health status information for the service. + RouteInfo: + type: object + properties: + route: + type: string + description: The API endpoint path + method: + type: string + description: HTTP method for the route + provider_types: + type: array + items: + type: string + description: >- + List of provider types that implement this route + additionalProperties: false + required: + - route + - method + - provider_types + title: RouteInfo + description: >- + Information about an API route including its path, method, and implementing + providers. + ListRoutesResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/RouteInfo' + description: >- + List of available route information objects + additionalProperties: false + required: + - data + title: ListRoutesResponse + description: >- + Response containing a list of all available API routes. + Model: + type: object + properties: + identifier: + type: string + description: >- + Unique identifier for this resource in llama stack + provider_resource_id: + type: string + description: >- + Unique identifier for this resource in the provider + provider_id: + type: string + description: >- + ID of the provider that owns this resource + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: model + default: model + description: >- + The resource type, always 'model' for model resources + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + description: >- + The type of model (LLM or embedding model) + additionalProperties: false + required: + - identifier + - provider_id + - type + - metadata + - model_type + title: Model + description: >- + A model resource representing an AI model registered in Llama Stack. + ModelType: + type: string + enum: + - llm + - embedding + title: ModelType + description: >- + Enumeration of supported model types in Llama Stack. + ListModelsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Model' + additionalProperties: false + required: + - data + title: ListModelsResponse + RegisterModelRequest: + type: object + properties: + model_id: + type: string + description: The identifier of the model to register. + provider_model_id: + type: string + description: >- + The identifier of the model in the provider. + provider_id: + type: string + description: The identifier of the provider. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Any additional metadata for this model. + model_type: + $ref: '#/components/schemas/ModelType' + description: The type of model to register. + additionalProperties: false + required: + - model_id + title: RegisterModelRequest + RunModerationRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + Input (or inputs) to classify. Can be a single string, an array of strings, + or an array of multi-modal input objects similar to other models. + model: + type: string + description: >- + The content moderation model you would like to use. + additionalProperties: false + required: + - input + - model + title: RunModerationRequest + ModerationObject: + type: object + properties: + id: + type: string + description: >- + The unique identifier for the moderation request. + model: + type: string + description: >- + The model used to generate the moderation results. + results: + type: array + items: + $ref: '#/components/schemas/ModerationObjectResults' + description: A list of moderation objects + additionalProperties: false + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + type: object + properties: + flagged: + type: boolean + description: >- + Whether any of the below categories are flagged. + categories: + type: object + additionalProperties: + type: boolean + description: >- + A list of the categories, and whether they are flagged or not. + category_applied_input_types: + type: object + additionalProperties: + type: array + items: + type: string + description: >- + A list of the categories along with the input type(s) that the score applies + to. + category_scores: + type: object + additionalProperties: + type: number + description: >- + A list of the categories along with their scores as predicted by model. + user_message: + type: string + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - flagged + - metadata + title: ModerationObjectResults + description: A moderation object. + Prompt: + type: object + properties: + prompt: + type: string + description: >- + The system prompt text with variable placeholders. Variables are only + supported when using the Responses API. + version: + type: integer + description: >- + Version (integer starting at 1, incremented on save) + prompt_id: + type: string + description: >- + Unique identifier formatted as 'pmpt_<48-digit-hash>' + variables: + type: array + items: + type: string + description: >- + List of prompt variable names that can be used in the prompt template + is_default: + type: boolean + default: false + description: >- + Boolean indicating whether this version is the default version for this + prompt + additionalProperties: false + required: + - version + - prompt_id + - variables + - is_default + title: Prompt + description: >- + A prompt resource representing a stored OpenAI Compatible prompt template + in Llama Stack. + ListPromptsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Prompt' + additionalProperties: false + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + CreatePromptRequest: + type: object + properties: + prompt: + type: string + description: >- + The prompt text content with variable placeholders. + variables: + type: array + items: + type: string + description: >- + List of variable names that can be used in the prompt template. + additionalProperties: false + required: + - prompt + title: CreatePromptRequest + UpdatePromptRequest: + type: object + properties: + prompt: + type: string + description: The updated prompt text content. + version: + type: integer + description: >- + The current version of the prompt being updated. + variables: + type: array + items: + type: string + description: >- + Updated list of variable names that can be used in the prompt template. + set_as_default: + type: boolean + description: >- + Set the new version as the default (default=True). + additionalProperties: false + required: + - prompt + - version + - set_as_default + title: UpdatePromptRequest + SetDefaultVersionRequest: + type: object + properties: + version: + type: integer + description: The version to set as default. + additionalProperties: false + required: + - version + title: SetDefaultVersionRequest + ProviderInfo: + type: object + properties: + api: + type: string + description: The API name this provider implements + provider_id: + type: string + description: Unique identifier for the provider + provider_type: + type: string + description: The type of provider implementation + config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Configuration parameters for the provider + health: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Current health status of the provider + additionalProperties: false + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: >- + Information about a registered provider including its configuration and health + status. + ListProvidersResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ProviderInfo' + description: List of provider information objects + additionalProperties: false + required: + - data + title: ListProvidersResponse + description: >- + Response containing a list of all available providers. + ListOpenAIResponseObject: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + description: >- + List of response objects with their input context + has_more: + type: boolean + description: >- + Whether there are more results available beyond this page + first_id: + type: string + description: >- + Identifier of the first item in this page + last_id: + type: string + description: Identifier of the last item in this page + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - has_more + - first_id + - last_id + - object + title: ListOpenAIResponseObject + description: >- + Paginated list of OpenAI response objects with navigation metadata. + OpenAIResponseError: + type: object + properties: + code: + type: string + description: >- + Error code identifying the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: OpenAIResponseError + description: >- + Error details for failed OpenAI response requests. + OpenAIResponseInput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMessage' + OpenAIResponseInputToolFileSearch: + type: object + properties: + type: + type: string + const: file_search + default: file_search + description: >- + Tool type identifier, always "file_search" + vector_store_ids: + type: array + items: + type: string + description: >- + List of vector store identifiers to search within + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional filters to apply to the search + max_num_results: + type: integer + default: 10 + description: >- + (Optional) Maximum number of search results to return (1-50) + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + (Optional) Options for ranking and scoring search results + additionalProperties: false + required: + - type + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: >- + File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + type: object + properties: + type: + type: string + const: function + default: function + description: Tool type identifier, always "function" + name: + type: string + description: Name of the function that can be called + description: + type: string + description: >- + (Optional) Description of what the function does + parameters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON schema defining the function's parameters + strict: + type: boolean + description: >- + (Optional) Whether to enforce strict parameter validation + additionalProperties: false + required: + - type + - name + title: OpenAIResponseInputToolFunction + description: >- + Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + type: object + properties: + type: + oneOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + default: web_search + description: Web search tool type variant to use + search_context_size: + type: string + default: medium + description: >- + (Optional) Size of search context, must be "low", "medium", or "high" + additionalProperties: false + required: + - type + title: OpenAIResponseInputToolWebSearch + description: >- + Web search tool configuration for OpenAI response inputs. + OpenAIResponseObjectWithInput: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + input: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: >- + List of input items that led to this response + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + - input + title: OpenAIResponseObjectWithInput + description: >- + OpenAI response object extended with input context information. + OpenAIResponseOutput: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + OpenAIResponseText: + type: object + properties: + format: + type: object + properties: + type: + oneOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + description: >- + Must be "text", "json_schema", or "json_object" to identify the format + type + name: + type: string + description: >- + The name of the response format. Only used for json_schema. + schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. Only used for json_schema. + description: + type: string + description: >- + (Optional) A description of the response format. Only used for json_schema. + strict: + type: boolean + description: >- + (Optional) Whether to strictly enforce the JSON schema. If true, the + response must match the schema exactly. Only used for json_schema. + additionalProperties: false + required: + - type + description: >- + (Optional) Text format configuration specifying output format requirements + additionalProperties: false + title: OpenAIResponseText + description: >- + Text response configuration for OpenAI responses. + OpenAIResponseTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + title: OpenAIResponseToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + type: object + properties: + input_tokens: + type: integer + description: Number of tokens in the input + output_tokens: + type: integer + description: Number of tokens in the output + total_tokens: + type: integer + description: Total tokens used (input + output) + input_tokens_details: + type: object + properties: + cached_tokens: + type: integer + description: Number of tokens retrieved from cache + additionalProperties: false + description: Detailed breakdown of input token usage + output_tokens_details: + type: object + properties: + reasoning_tokens: + type: integer + description: >- + Number of tokens used for reasoning (o1/o3 models) + additionalProperties: false + description: Detailed breakdown of output token usage + additionalProperties: false + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + ResponseGuardrailSpec: + type: object + properties: + type: + type: string + description: The type/identifier of the guardrail. + additionalProperties: false + required: + - type + title: ResponseGuardrailSpec + description: >- + Specification for a guardrail to apply during response generation. + OpenAIResponseInputTool: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + discriminator: + propertyName: type + mapping: + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseInputToolMCP: + type: object + properties: + type: + type: string + const: mcp + default: mcp + description: Tool type identifier, always "mcp" + server_label: + type: string + description: Label to identify this MCP server + server_url: + type: string + description: URL endpoint of the MCP server + headers: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) HTTP headers to include when connecting to the server + require_approval: + oneOf: + - type: string + const: always + - type: string + const: never + - type: object + properties: + always: + type: array + items: + type: string + description: >- + (Optional) List of tool names that always require approval + never: + type: array + items: + type: string + description: >- + (Optional) List of tool names that never require approval + additionalProperties: false + title: ApprovalFilter + description: >- + Filter configuration for MCP tool approval requirements. + default: never + description: >- + Approval requirement for tool calls ("always", "never", or filter) + allowed_tools: + oneOf: + - type: array + items: + type: string + - type: object + properties: + tool_names: + type: array + items: + type: string + description: >- + (Optional) List of specific tool names that are allowed + additionalProperties: false + title: AllowedToolsFilter + description: >- + Filter configuration for restricting which MCP tools can be used. + description: >- + (Optional) Restriction on which tools can be used from this server + additionalProperties: false + required: + - type + - server_label + - server_url + - require_approval + title: OpenAIResponseInputToolMCP + description: >- + Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + CreateOpenaiResponseRequest: + type: object + properties: + input: + oneOf: + - type: string + - type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: Input message(s) to create the response. + model: + type: string + description: The underlying LLM used for completions. + instructions: + type: string + previous_response_id: + type: string + description: >- + (Optional) if specified, the new response will be a continuation of the + previous response. This can be used to easily fork-off new responses from + existing responses. + conversation: + type: string + description: >- + (Optional) The ID of a conversation to add the response to. Must begin + with 'conv_'. Input and output messages will be automatically added to + the conversation. + store: + type: boolean + stream: + type: boolean + temperature: + type: number + text: + $ref: '#/components/schemas/OpenAIResponseText' + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInputTool' + include: + type: array + items: + type: string + description: >- + (Optional) Additional fields to include in the response. + max_infer_iters: + type: integer + additionalProperties: false + required: + - input + - model + title: CreateOpenaiResponseRequest + OpenAIResponseObject: + type: object + properties: + created_at: + type: integer + description: >- + Unix timestamp when the response was created + error: + $ref: '#/components/schemas/OpenAIResponseError' + description: >- + (Optional) Error details if the response generation failed + id: + type: string + description: Unique identifier for this response + model: + type: string + description: Model identifier used for generation + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + output: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseOutput' + description: >- + List of generated output items (messages, tool calls, etc.) + parallel_tool_calls: + type: boolean + default: false + description: >- + Whether tool calls can be executed in parallel + previous_response_id: + type: string + description: >- + (Optional) ID of the previous response in a conversation + status: + type: string + description: >- + Current status of the response generation + temperature: + type: number + description: >- + (Optional) Sampling temperature used for generation + text: + $ref: '#/components/schemas/OpenAIResponseText' + description: >- + Text formatting configuration for the response + top_p: + type: number + description: >- + (Optional) Nucleus sampling parameter used for generation + tools: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseTool' + description: >- + (Optional) An array of tools the model may call while generating a response. + truncation: + type: string + description: >- + (Optional) Truncation strategy applied to the response + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + description: >- + (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context + additionalProperties: false + required: + - created_at + - id + - model + - object + - output + - parallel_tool_calls + - status + - text + title: OpenAIResponseObject + description: >- + Complete OpenAI response object containing generation results and metadata. + OpenAIResponseContentPartOutputText: + type: object + properties: + type: + type: string + const: output_text + default: output_text + description: >- + Content part type identifier, always "output_text" + text: + type: string + description: Text emitted for this content part + annotations: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseAnnotations' + description: >- + Structured annotations associated with the text + logprobs: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: (Optional) Token log probability details + additionalProperties: false + required: + - type + - text + - annotations + title: OpenAIResponseContentPartOutputText + description: >- + Text content within a streamed response part. + "OpenAIResponseContentPartReasoningSummary": + type: object + properties: + type: + type: string + const: summary_text + default: summary_text + description: >- + Content part type identifier, always "summary_text" + text: + type: string + description: Summary text + additionalProperties: false + required: + - type + - text + title: >- + OpenAIResponseContentPartReasoningSummary + description: >- + Reasoning summary part in a streamed response. + OpenAIResponseContentPartReasoningText: + type: object + properties: + type: + type: string + const: reasoning_text + default: reasoning_text + description: >- + Content part type identifier, always "reasoning_text" + text: + type: string + description: Reasoning text supplied by the model + additionalProperties: false + required: + - type + - text + title: OpenAIResponseContentPartReasoningText + description: >- + Reasoning text emitted as part of a streamed response. + OpenAIResponseObjectStream: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + discriminator: + propertyName: type + mapping: + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + "OpenAIResponseObjectStreamResponseCompleted": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Completed response object + type: + type: string + const: response.completed + default: response.completed + description: >- + Event type identifier, always "response.completed" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCompleted + description: >- + Streaming event indicating a response has been completed. + "OpenAIResponseObjectStreamResponseContentPartAdded": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The content part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.added + default: response.content_part.added + description: >- + Event type identifier, always "response.content_part.added" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartAdded + description: >- + Streaming event for when a new content part is added to a response item. + "OpenAIResponseObjectStreamResponseContentPartDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the part within the content array + response_id: + type: string + description: >- + Unique identifier of the response containing this content + item_id: + type: string + description: >- + Unique identifier of the output item containing this content part + output_index: + type: integer + description: >- + Index position of the output item in the response + part: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + description: The completed content part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.content_part.done + default: response.content_part.done + description: >- + Event type identifier, always "response.content_part.done" + additionalProperties: false + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseContentPartDone + description: >- + Streaming event for when a content part is completed. + "OpenAIResponseObjectStreamResponseCreated": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: The response object that was created + type: + type: string + const: response.created + default: response.created + description: >- + Event type identifier, always "response.created" + additionalProperties: false + required: + - response + - type + title: >- + OpenAIResponseObjectStreamResponseCreated + description: >- + Streaming event indicating a new response has been created. + OpenAIResponseObjectStreamResponseFailed: + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Response object describing the failure + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.failed + default: response.failed + description: >- + Event type identifier, always "response.failed" + additionalProperties: false + required: + - response + - sequence_number + - type + title: OpenAIResponseObjectStreamResponseFailed + description: >- + Streaming event emitted when a response fails. + "OpenAIResponseObjectStreamResponseFileSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.completed + default: response.file_search_call.completed + description: >- + Event type identifier, always "response.file_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallCompleted + description: >- + Streaming event for completed file search calls. + "OpenAIResponseObjectStreamResponseFileSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + description: >- + Event type identifier, always "response.file_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallInProgress + description: >- + Streaming event for file search calls in progress. + "OpenAIResponseObjectStreamResponseFileSearchCallSearching": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the file search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.file_search_call.searching + default: response.file_search_call.searching + description: >- + Event type identifier, always "response.file_search_call.searching" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFileSearchCallSearching + description: >- + Streaming event for file search currently searching. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta": + type: object + properties: + delta: + type: string + description: >- + Incremental function call arguments being added + item_id: + type: string + description: >- + Unique identifier of the function call being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + description: >- + Event type identifier, always "response.function_call_arguments.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + description: >- + Streaming event for incremental function call argument updates. + "OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone": + type: object + properties: + arguments: + type: string + description: >- + Final complete arguments JSON string for the function call + item_id: + type: string + description: >- + Unique identifier of the completed function call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.function_call_arguments.done + default: response.function_call_arguments.done + description: >- + Event type identifier, always "response.function_call_arguments.done" + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + description: >- + Streaming event for when function call arguments are completed. + "OpenAIResponseObjectStreamResponseInProgress": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: Current response state while in progress + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.in_progress + default: response.in_progress + description: >- + Event type identifier, always "response.in_progress" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseInProgress + description: >- + Streaming event indicating the response remains in progress. + "OpenAIResponseObjectStreamResponseIncomplete": + type: object + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + description: >- + Response object describing the incomplete state + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.incomplete + default: response.incomplete + description: >- + Event type identifier, always "response.incomplete" + additionalProperties: false + required: + - response + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseIncomplete + description: >- + Streaming event emitted when a response ends in an incomplete state. + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta": + type: object + properties: + delta: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + "OpenAIResponseObjectStreamResponseMcpCallArgumentsDone": + type: object + properties: + arguments: + type: string + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + additionalProperties: false + required: + - arguments + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + "OpenAIResponseObjectStreamResponseMcpCallCompleted": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.completed + default: response.mcp_call.completed + description: >- + Event type identifier, always "response.mcp_call.completed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallCompleted + description: Streaming event for completed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallFailed": + type: object + properties: + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.failed + default: response.mcp_call.failed + description: >- + Event type identifier, always "response.mcp_call.failed" + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallFailed + description: Streaming event for failed MCP calls. + "OpenAIResponseObjectStreamResponseMcpCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the MCP call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + description: >- + Event type identifier, always "response.mcp_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpCallInProgress + description: >- + Streaming event for MCP calls in progress. + "OpenAIResponseObjectStreamResponseMcpListToolsCompleted": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsCompleted + "OpenAIResponseObjectStreamResponseMcpListToolsFailed": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsFailed + "OpenAIResponseObjectStreamResponseMcpListToolsInProgress": + type: object + properties: + sequence_number: + type: integer + type: + type: string + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + additionalProperties: false + required: + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseMcpListToolsInProgress + "OpenAIResponseObjectStreamResponseOutputItemAdded": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The output item that was added (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.added + default: response.output_item.added + description: >- + Event type identifier, always "response.output_item.added" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemAdded + description: >- + Streaming event for when a new output item is added to the response. + "OpenAIResponseObjectStreamResponseOutputItemDone": + type: object + properties: + response_id: + type: string + description: >- + Unique identifier of the response containing this output + item: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + description: >- + The completed output item (message, tool call, etc.) + output_index: + type: integer + description: >- + Index position of this item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_item.done + default: response.output_item.done + description: >- + Event type identifier, always "response.output_item.done" + additionalProperties: false + required: + - response_id + - item + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputItemDone + description: >- + Streaming event for when an output item is completed. + "OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the item to which the annotation is being added + output_index: + type: integer + description: >- + Index position of the output item in the response's output array + content_index: + type: integer + description: >- + Index position of the content part within the output item + annotation_index: + type: integer + description: >- + Index of the annotation within the content part + annotation: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + description: The annotation object being added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.annotation.added + default: response.output_text.annotation.added + description: >- + Event type identifier, always "response.output_text.annotation.added" + additionalProperties: false + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + description: >- + Streaming event for when an annotation is added to output text. + "OpenAIResponseObjectStreamResponseOutputTextDelta": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + delta: + type: string + description: Incremental text content being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.delta + default: response.output_text.delta + description: >- + Event type identifier, always "response.output_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDelta + description: >- + Streaming event for incremental text content updates. + "OpenAIResponseObjectStreamResponseOutputTextDone": + type: object + properties: + content_index: + type: integer + description: Index position within the text content + text: + type: string + description: >- + Final complete text content of the output item + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.output_text.done + default: response.output_text.done + description: >- + Event type identifier, always "response.output_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseOutputTextDone + description: >- + Streaming event for when text output is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The summary part that was added + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + description: >- + Event type identifier, always "response.reasoning_summary_part.added" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + description: >- + Streaming event for when a new reasoning summary part is added. + "OpenAIResponseObjectStreamResponseReasoningSummaryPartDone": + type: object + properties: + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + description: The completed summary part + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + description: >- + Event type identifier, always "response.reasoning_summary_part.done" + additionalProperties: false + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + description: >- + Streaming event for when a reasoning summary part is completed. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta": + type: object + properties: + delta: + type: string + description: Incremental summary text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + description: >- + Event type identifier, always "response.reasoning_summary_text.delta" + additionalProperties: false + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + description: >- + Streaming event for incremental reasoning summary text updates. + "OpenAIResponseObjectStreamResponseReasoningSummaryTextDone": + type: object + properties: + text: + type: string + description: Final complete summary text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: Index position of the output item + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + summary_index: + type: integer + description: >- + Index of the summary part within the reasoning summary + type: + type: string + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + description: >- + Event type identifier, always "response.reasoning_summary_text.done" + additionalProperties: false + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + description: >- + Streaming event for when reasoning summary text is completed. + "OpenAIResponseObjectStreamResponseReasoningTextDelta": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + delta: + type: string + description: Incremental reasoning text being added + item_id: + type: string + description: >- + Unique identifier of the output item being updated + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.delta + default: response.reasoning_text.delta + description: >- + Event type identifier, always "response.reasoning_text.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDelta + description: >- + Streaming event for incremental reasoning text updates. + "OpenAIResponseObjectStreamResponseReasoningTextDone": + type: object + properties: + content_index: + type: integer + description: >- + Index position of the reasoning content part + text: + type: string + description: Final complete reasoning text + item_id: + type: string + description: >- + Unique identifier of the completed output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.reasoning_text.done + default: response.reasoning_text.done + description: >- + Event type identifier, always "response.reasoning_text.done" + additionalProperties: false + required: + - content_index + - text + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseReasoningTextDone + description: >- + Streaming event for when reasoning text is completed. + "OpenAIResponseObjectStreamResponseRefusalDelta": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + delta: + type: string + description: Incremental refusal text being added + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.delta + default: response.refusal.delta + description: >- + Event type identifier, always "response.refusal.delta" + additionalProperties: false + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDelta + description: >- + Streaming event for incremental refusal text updates. + "OpenAIResponseObjectStreamResponseRefusalDone": + type: object + properties: + content_index: + type: integer + description: Index position of the content part + refusal: + type: string + description: Final complete refusal text + item_id: + type: string + description: Unique identifier of the output item + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.refusal.done + default: response.refusal.done + description: >- + Event type identifier, always "response.refusal.done" + additionalProperties: false + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseRefusalDone + description: >- + Streaming event for when refusal text is completed. + "OpenAIResponseObjectStreamResponseWebSearchCallCompleted": + type: object + properties: + item_id: + type: string + description: >- + Unique identifier of the completed web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.completed + default: response.web_search_call.completed + description: >- + Event type identifier, always "response.web_search_call.completed" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallCompleted + description: >- + Streaming event for completed web search calls. + "OpenAIResponseObjectStreamResponseWebSearchCallInProgress": + type: object + properties: + item_id: + type: string + description: Unique identifier of the web search call + output_index: + type: integer + description: >- + Index position of the item in the output list + sequence_number: + type: integer + description: >- + Sequential number for ordering streaming events + type: + type: string + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + description: >- + Event type identifier, always "response.web_search_call.in_progress" + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallInProgress + description: >- + Streaming event for web search calls in progress. + "OpenAIResponseObjectStreamResponseWebSearchCallSearching": + type: object + properties: + item_id: + type: string + output_index: + type: integer + sequence_number: + type: integer + type: + type: string + const: response.web_search_call.searching + default: response.web_search_call.searching + additionalProperties: false + required: + - item_id + - output_index + - sequence_number + - type + title: >- + OpenAIResponseObjectStreamResponseWebSearchCallSearching + OpenAIDeleteResponseObject: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted response + object: + type: string + const: response + default: response + description: >- + Object type identifier, always "response" + deleted: + type: boolean + default: true + description: Deletion confirmation flag, always True + additionalProperties: false + required: + - id + - object + - deleted + title: OpenAIDeleteResponseObject + description: >- + Response object confirming deletion of an OpenAI response. + ListOpenAIResponseInputItem: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/OpenAIResponseInput' + description: List of input items + object: + type: string + const: list + default: list + description: Object type identifier, always "list" + additionalProperties: false + required: + - data + - object + title: ListOpenAIResponseInputItem + description: >- + List container for OpenAI response input items. + RunShieldRequest: + type: object + properties: + shield_id: + type: string + description: The identifier of the shield to run. + messages: + type: array + items: + $ref: '#/components/schemas/OpenAIMessageParam' + description: The messages to run the shield on. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the shield. + additionalProperties: false + required: + - shield_id + - messages + - params + title: RunShieldRequest + RunShieldResponse: + type: object + properties: + violation: + $ref: '#/components/schemas/SafetyViolation' + description: >- + (Optional) Safety violation detected by the shield, if any + additionalProperties: false + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + type: object + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + description: Severity level of the violation + user_message: + type: string + description: >- + (Optional) Message to convey to the user about the violation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata including specific violation codes for debugging and + telemetry + additionalProperties: false + required: + - violation_level + - metadata + title: SafetyViolation + description: >- + Details of a safety violation detected by content moderation. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + AgentTurnInputType: + type: object + properties: + type: + type: string + const: agent_turn_input + default: agent_turn_input + description: >- + Discriminator type. Always "agent_turn_input" + additionalProperties: false + required: + - type + title: AgentTurnInputType + description: Parameter type for agent turn input. + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: >- + Types of aggregation functions for scoring results. + ArrayType: + type: object + properties: + type: + type: string + const: array + default: array + description: Discriminator type. Always "array" + additionalProperties: false + required: + - type + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: basic + default: basic + description: >- + The type of scoring function parameters, always basic + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - aggregation_functions + title: BasicScoringFnParams + description: >- + Parameters for basic scoring function configuration. + BooleanType: + type: object + properties: + type: + type: string + const: boolean + default: boolean + description: Discriminator type. Always "boolean" + additionalProperties: false + required: + - type + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + type: object + properties: + type: + type: string + const: chat_completion_input + default: chat_completion_input + description: >- + Discriminator type. Always "chat_completion_input" + additionalProperties: false + required: + - type + title: ChatCompletionInputType + description: >- + Parameter type for chat completion input. + CompletionInputType: + type: object + properties: + type: + type: string + const: completion_input + default: completion_input + description: >- + Discriminator type. Always "completion_input" + additionalProperties: false + required: + - type + title: CompletionInputType + description: Parameter type for completion input. + JsonType: + type: object + properties: + type: + type: string + const: json + default: json + description: Discriminator type. Always "json" + additionalProperties: false + required: + - type + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: llm_as_judge + default: llm_as_judge + description: >- + The type of scoring function parameters, always llm_as_judge + judge_model: + type: string + description: >- + Identifier of the LLM model to use as a judge for scoring + prompt_template: + type: string + description: >- + (Optional) Custom prompt template for the judge model + judge_score_regexes: + type: array + items: + type: string + description: >- + Regexes to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - judge_model + - judge_score_regexes + - aggregation_functions + title: LLMAsJudgeScoringFnParams + description: >- + Parameters for LLM-as-judge scoring function configuration. + NumberType: + type: object + properties: + type: + type: string + const: number + default: number + description: Discriminator type. Always "number" + additionalProperties: false + required: + - type + title: NumberType + description: Parameter type for numeric values. + ObjectType: + type: object + properties: + type: + type: string + const: object + default: object + description: Discriminator type. Always "object" + additionalProperties: false + required: + - type + title: ObjectType + description: Parameter type for object values. + RegexParserScoringFnParams: + type: object + properties: + type: + $ref: '#/components/schemas/ScoringFnParamsType' + const: regex_parser + default: regex_parser + description: >- + The type of scoring function parameters, always regex_parser + parsing_regexes: + type: array + items: + type: string + description: >- + Regex to extract the answer from generated response + aggregation_functions: + type: array + items: + $ref: '#/components/schemas/AggregationFunctionType' + description: >- + Aggregation functions to apply to the scores of each row + additionalProperties: false + required: + - type + - parsing_regexes + - aggregation_functions + title: RegexParserScoringFnParams + description: >- + Parameters for regex parser scoring function configuration. + ScoringFn: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: scoring_function + default: scoring_function + description: >- + The resource type, always scoring_function + description: + type: string + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + - $ref: '#/components/schemas/AgentTurnInputType' + discriminator: + propertyName: type + mapping: + string: '#/components/schemas/StringType' + number: '#/components/schemas/NumberType' + boolean: '#/components/schemas/BooleanType' + array: '#/components/schemas/ArrayType' + object: '#/components/schemas/ObjectType' + json: '#/components/schemas/JsonType' + union: '#/components/schemas/UnionType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + agent_turn_input: '#/components/schemas/AgentTurnInputType' + params: + $ref: '#/components/schemas/ScoringFnParams' + additionalProperties: false + required: + - identifier + - provider_id + - type + - metadata + - return_type + title: ScoringFn + description: >- + A scoring function resource for evaluating model outputs. + ScoringFnParams: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + basic: '#/components/schemas/BasicScoringFnParams' + ScoringFnParamsType: + type: string + enum: + - llm_as_judge + - regex_parser + - basic + title: ScoringFnParamsType + description: >- + Types of scoring function parameter configurations. + StringType: + type: object + properties: + type: + type: string + const: string + default: string + description: Discriminator type. Always "string" + additionalProperties: false + required: + - type + title: StringType + description: Parameter type for string values. + UnionType: + type: object + properties: + type: + type: string + const: union + default: union + description: Discriminator type. Always "union" + additionalProperties: false + required: + - type + title: UnionType + description: Parameter type for union values. + ListScoringFunctionsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ScoringFn' + additionalProperties: false + required: + - data + title: ListScoringFunctionsResponse + ParamType: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + - $ref: '#/components/schemas/AgentTurnInputType' + discriminator: + propertyName: type + mapping: + string: '#/components/schemas/StringType' + number: '#/components/schemas/NumberType' + boolean: '#/components/schemas/BooleanType' + array: '#/components/schemas/ArrayType' + object: '#/components/schemas/ObjectType' + json: '#/components/schemas/JsonType' + union: '#/components/schemas/UnionType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + agent_turn_input: '#/components/schemas/AgentTurnInputType' + RegisterScoringFunctionRequest: + type: object + properties: + scoring_fn_id: + type: string + description: >- + The ID of the scoring function to register. + description: + type: string + description: The description of the scoring function. + return_type: + $ref: '#/components/schemas/ParamType' + description: The return type of the scoring function. + provider_scoring_fn_id: + type: string + description: >- + The ID of the provider scoring function to use for the scoring function. + provider_id: + type: string + description: >- + The ID of the provider to use for the scoring function. + params: + $ref: '#/components/schemas/ScoringFnParams' + description: >- + The parameters for the scoring function for benchmark eval, these can + be overridden for app eval. + additionalProperties: false + required: + - scoring_fn_id + - description + - return_type + title: RegisterScoringFunctionRequest + ScoreRequest: + type: object + properties: + input_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to score. + scoring_functions: + type: object + additionalProperties: + oneOf: + - $ref: '#/components/schemas/ScoringFnParams' + - type: 'null' + description: >- + The scoring functions to use for the scoring. + additionalProperties: false + required: + - input_rows + - scoring_functions + title: ScoreRequest + ScoreResponse: + type: object + properties: + results: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: >- + A map of scoring function name to ScoringResult. + additionalProperties: false + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringResult: + type: object + properties: + score_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The scoring result for each row. Each row is a map of column name to value. + aggregated_results: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Map of metric name to aggregated value + additionalProperties: false + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + ScoreBatchRequest: + type: object + properties: + dataset_id: + type: string + description: The ID of the dataset to score. + scoring_functions: + type: object + additionalProperties: + oneOf: + - $ref: '#/components/schemas/ScoringFnParams' + - type: 'null' + description: >- + The scoring functions to use for the scoring. + save_results_dataset: + type: boolean + description: >- + Whether to save the results to a dataset. + additionalProperties: false + required: + - dataset_id + - scoring_functions + - save_results_dataset + title: ScoreBatchRequest + ScoreBatchResponse: + type: object + properties: + dataset_id: + type: string + description: >- + (Optional) The identifier of the dataset that was scored + results: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: >- + A map of scoring function name to ScoringResult + additionalProperties: false + required: + - results + title: ScoreBatchResponse + description: >- + Response from batch scoring operations on datasets. + Shield: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: shield + default: shield + description: The resource type, always shield + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Configuration parameters for the shield + additionalProperties: false + required: + - identifier + - provider_id + - type + title: Shield + description: >- + A safety shield resource that can be used to check content. + ListShieldsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Shield' + additionalProperties: false + required: + - data + title: ListShieldsResponse + RegisterShieldRequest: + type: object + properties: + shield_id: + type: string + description: >- + The identifier of the shield to register. + provider_shield_id: + type: string + description: >- + The identifier of the shield in the provider. + provider_id: + type: string + description: The identifier of the provider. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the shield. + additionalProperties: false + required: + - shield_id + title: RegisterShieldRequest + CompletionMessage: + type: object + properties: + role: + type: string + const: assistant + default: assistant + description: >- + Must be "assistant" to identify this as the model's response + content: + $ref: '#/components/schemas/InterleavedContent' + description: The content of the model's response + stop_reason: + type: string + enum: + - end_of_turn + - end_of_message + - out_of_tokens + description: >- + Reason why the model stopped generating. Options are: - `StopReason.end_of_turn`: + The model finished generating the entire response. - `StopReason.end_of_message`: + The model finished generating but generated a partial response -- usually, + a tool call. The user may call the tool and continue the conversation + with the tool's response. - `StopReason.out_of_tokens`: The model ran + out of token budget. + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: >- + List of tool calls. Each tool call is a ToolCall object. + additionalProperties: false + required: + - role + - content + - stop_reason + title: CompletionMessage + description: >- + A message containing the model's (assistant) response in a chat conversation. + ImageContentItem: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the content item. Always "image" + image: + type: object + properties: + url: + $ref: '#/components/schemas/URL' + description: >- + A URL of the image or data URL in the format of data:image/{type};base64,{data}. + Note that URL could have length limits. + data: + type: string + contentEncoding: base64 + description: base64 encoded image data as string + additionalProperties: false + description: >- + Image as a base64 encoded string or an URL + additionalProperties: false + required: + - type + - image + title: ImageContentItem + description: A image content item + InterleavedContent: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + InterleavedContentItem: + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + Message: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + discriminator: + propertyName: role + mapping: + user: '#/components/schemas/UserMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + assistant: '#/components/schemas/CompletionMessage' + SystemMessage: + type: object + properties: + role: + type: string + const: system + default: system + description: >- + Must be "system" to identify this as a system message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the "system prompt". If multiple system messages are provided, + they are concatenated. The underlying Llama Stack code may also add other + system messages (for example, for formatting tool definitions). + additionalProperties: false + required: + - role + - content + title: SystemMessage + description: >- + A system message providing instructions or context to the model. + TextContentItem: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the content item. Always "text" + text: + type: string + description: Text content + additionalProperties: false + required: + - type + - text + title: TextContentItem + description: A text content item + ToolCall: + type: object + properties: + call_id: + type: string + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + arguments: + type: string + additionalProperties: false + required: + - call_id + - tool_name + - arguments + title: ToolCall + ToolResponseMessage: + type: object + properties: + role: + type: string + const: tool + default: tool + description: >- + Must be "tool" to identify this as a tool response + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + additionalProperties: false + required: + - role + - call_id + - content + title: ToolResponseMessage + description: >- + A message representing the result of a tool invocation. + URL: + type: object + properties: + uri: + type: string + description: The URL string pointing to the resource + additionalProperties: false + required: + - uri + title: URL + description: A URL reference to external content. + UserMessage: + type: object + properties: + role: + type: string + const: user + default: user + description: >- + Must be "user" to identify this as a user message + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the message, which can include text and other media + context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) This field is used internally by Llama Stack to pass RAG context. + This field may be removed in the API in the future. + additionalProperties: false + required: + - role + - content + title: UserMessage + description: >- + A message from the user in a chat conversation. + SyntheticDataGenerateRequest: + type: object + properties: + dialogs: + type: array + items: + $ref: '#/components/schemas/Message' + description: >- + List of conversation messages to use as input for synthetic data generation + filtering_function: + type: string + enum: + - none + - random + - top_k + - top_p + - top_k_top_p + - sigmoid + description: >- + Type of filtering to apply to generated synthetic data samples + model: + type: string + description: >- + (Optional) The identifier of the model to use. The model must be registered + with Llama Stack and available via the /models endpoint + additionalProperties: false + required: + - dialogs + - filtering_function + title: SyntheticDataGenerateRequest + SyntheticDataGenerationResponse: + type: object + properties: + synthetic_data: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + List of generated synthetic data samples that passed the filtering criteria + statistics: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Statistical information about the generation process and filtering + results + additionalProperties: false + required: + - synthetic_data + title: SyntheticDataGenerationResponse + description: >- + Response from the synthetic data generation. Batch of (prompt, response, score) + tuples that pass the threshold. + InvokeToolRequest: + type: object + properties: + tool_name: + type: string + description: The name of the tool to invoke. + kwargs: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + A dictionary of arguments to pass to the tool. + additionalProperties: false + required: + - tool_name + - kwargs + title: InvokeToolRequest + ToolInvocationResult: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) The output content from the tool execution + error_message: + type: string + description: >- + (Optional) Error message if the tool execution failed + error_code: + type: integer + description: >- + (Optional) Numeric error code if the tool execution failed + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool execution + additionalProperties: false + title: ToolInvocationResult + description: Result of a tool invocation. + ToolDef: + type: object + properties: + toolgroup_id: + type: string + description: >- + (Optional) ID of the tool group this tool belongs to + name: + type: string + description: Name of the tool + description: + type: string + description: >- + (Optional) Human-readable description of what the tool does + input_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool inputs (MCP inputSchema) + output_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) JSON Schema for tool outputs (MCP outputSchema) + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool + additionalProperties: false + required: + - name + title: ToolDef + description: >- + Tool definition used in runtime contexts. + ListToolDefsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ToolDef' + description: List of tool definitions + additionalProperties: false + required: + - data + title: ListToolDefsResponse + description: >- + Response containing a list of tool definitions. + RAGDocument: + type: object + properties: + document_id: + type: string + description: The unique identifier for the document. + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the document. + mime_type: + type: string + description: The MIME type of the document. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Additional metadata for the document. + additionalProperties: false + required: + - document_id + - content + - metadata + title: RAGDocument + description: >- + A document to be used for document ingestion in the RAG Tool. + InsertRequest: + type: object + properties: + documents: + type: array + items: + $ref: '#/components/schemas/RAGDocument' + description: >- + List of documents to index in the RAG system + vector_db_id: + type: string + description: >- + ID of the vector database to store the document embeddings + chunk_size_in_tokens: + type: integer + description: >- + (Optional) Size in tokens for document chunking during indexing + additionalProperties: false + required: + - documents + - vector_db_id + - chunk_size_in_tokens + title: InsertRequest + DefaultRAGQueryGeneratorConfig: + type: object + properties: + type: + type: string + const: default + default: default + description: >- + Type of query generator, always 'default' + separator: + type: string + default: ' ' + description: >- + String separator used to join query terms + additionalProperties: false + required: + - type + - separator + title: DefaultRAGQueryGeneratorConfig + description: >- + Configuration for the default RAG query generator. + LLMRAGQueryGeneratorConfig: + type: object + properties: + type: + type: string + const: llm + default: llm + description: Type of query generator, always 'llm' + model: + type: string + description: >- + Name of the language model to use for query generation + template: + type: string + description: >- + Template string for formatting the query generation prompt + additionalProperties: false + required: + - type + - model + - template + title: LLMRAGQueryGeneratorConfig + description: >- + Configuration for the LLM-based RAG query generator. + RAGQueryConfig: + type: object + properties: + query_generator_config: + oneOf: + - $ref: '#/components/schemas/DefaultRAGQueryGeneratorConfig' + - $ref: '#/components/schemas/LLMRAGQueryGeneratorConfig' + discriminator: + propertyName: type + mapping: + default: '#/components/schemas/DefaultRAGQueryGeneratorConfig' + llm: '#/components/schemas/LLMRAGQueryGeneratorConfig' + description: Configuration for the query generator. + max_tokens_in_context: + type: integer + default: 4096 + description: Maximum number of tokens in the context. + max_chunks: + type: integer + default: 5 + description: Maximum number of chunks to retrieve. + chunk_template: + type: string + default: > + Result {index} + + Content: {chunk.content} + + Metadata: {metadata} + description: >- + Template for formatting each retrieved chunk in the context. Available + placeholders: {index} (1-based chunk ordinal), {chunk.content} (chunk + content string), {metadata} (chunk metadata dict). Default: "Result {index}\nContent: + {chunk.content}\nMetadata: {metadata}\n" + mode: + $ref: '#/components/schemas/RAGSearchMode' + default: vector + description: >- + Search mode for retrieval—either "vector", "keyword", or "hybrid". Default + "vector". + ranker: + $ref: '#/components/schemas/Ranker' + description: >- + Configuration for the ranker to use in hybrid search. Defaults to RRF + ranker. + additionalProperties: false + required: + - query_generator_config + - max_tokens_in_context + - max_chunks + - chunk_template + title: RAGQueryConfig + description: >- + Configuration for the RAG query generation. + RAGSearchMode: + type: string + enum: + - vector + - keyword + - hybrid + title: RAGSearchMode + description: >- + Search modes for RAG query retrieval: - VECTOR: Uses vector similarity search + for semantic matching - KEYWORD: Uses keyword-based search for exact matching + - HYBRID: Combines both vector and keyword search for better results + RRFRanker: + type: object + properties: + type: + type: string + const: rrf + default: rrf + description: The type of ranker, always "rrf" + impact_factor: + type: number + default: 60.0 + description: >- + The impact factor for RRF scoring. Higher values give more weight to higher-ranked + results. Must be greater than 0 + additionalProperties: false + required: + - type + - impact_factor + title: RRFRanker + description: >- + Reciprocal Rank Fusion (RRF) ranker configuration. + Ranker: + oneOf: + - $ref: '#/components/schemas/RRFRanker' + - $ref: '#/components/schemas/WeightedRanker' + discriminator: + propertyName: type + mapping: + rrf: '#/components/schemas/RRFRanker' + weighted: '#/components/schemas/WeightedRanker' + WeightedRanker: + type: object + properties: + type: + type: string + const: weighted + default: weighted + description: The type of ranker, always "weighted" + alpha: + type: number + default: 0.5 + description: >- + Weight factor between 0 and 1. 0 means only use keyword scores, 1 means + only use vector scores, values in between blend both scores. + additionalProperties: false + required: + - type + - alpha + title: WeightedRanker + description: >- + Weighted ranker configuration that combines vector and keyword scores. + QueryRequest: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The query content to search for in the indexed documents + vector_db_ids: + type: array + items: + type: string + description: >- + List of vector database IDs to search within + query_config: + $ref: '#/components/schemas/RAGQueryConfig' + description: >- + (Optional) Configuration parameters for the query operation + additionalProperties: false + required: + - content + - vector_db_ids + title: QueryRequest + RAGQueryResult: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + (Optional) The retrieved content from the query + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Additional metadata about the query result + additionalProperties: false + required: + - metadata + title: RAGQueryResult + description: >- + Result of a RAG query containing retrieved content and metadata. + ToolGroup: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: tool_group + default: tool_group + description: Type of resource, always 'tool_group' + mcp_endpoint: + $ref: '#/components/schemas/URL' + description: >- + (Optional) Model Context Protocol endpoint for remote tools + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional arguments for the tool group + additionalProperties: false + required: + - identifier + - provider_id + - type + title: ToolGroup + description: >- + A group of related tools managed together. + ListToolGroupsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/ToolGroup' + description: List of tool groups + additionalProperties: false + required: + - data + title: ListToolGroupsResponse + description: >- + Response containing a list of tool groups. + RegisterToolGroupRequest: + type: object + properties: + toolgroup_id: + type: string + description: The ID of the tool group to register. + provider_id: + type: string + description: >- + The ID of the provider to use for the tool group. + mcp_endpoint: + $ref: '#/components/schemas/URL' + description: >- + The MCP endpoint to use for the tool group. + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + A dictionary of arguments to pass to the tool group. + additionalProperties: false + required: + - toolgroup_id + - provider_id + title: RegisterToolGroupRequest + Chunk: + type: object + properties: + content: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The content of the chunk, which can be interleaved text, images, or other + types. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Metadata associated with the chunk that will be used in the model context + during inference. + embedding: + type: array + items: + type: number + description: >- + Optional embedding for the chunk. If not provided, it will be computed + later. + stored_chunk_id: + type: string + description: >- + The chunk ID that is stored in the vector database. Used for backend functionality. + chunk_metadata: + $ref: '#/components/schemas/ChunkMetadata' + description: >- + Metadata for the chunk that will NOT be used in the context during inference. + The `chunk_metadata` is required backend functionality. + additionalProperties: false + required: + - content + - metadata + title: Chunk + description: >- + A chunk of content that can be inserted into a vector database. + ChunkMetadata: + type: object + properties: + chunk_id: + type: string + description: >- + The ID of the chunk. If not set, it will be generated based on the document + ID and content. + document_id: + type: string + description: >- + The ID of the document this chunk belongs to. + source: + type: string + description: >- + The source of the content, such as a URL, file path, or other identifier. + created_timestamp: + type: integer + description: >- + An optional timestamp indicating when the chunk was created. + updated_timestamp: + type: integer + description: >- + An optional timestamp indicating when the chunk was last updated. + chunk_window: + type: string + description: >- + The window of the chunk, which can be used to group related chunks together. + chunk_tokenizer: + type: string + description: >- + The tokenizer used to create the chunk. Default is Tiktoken. + chunk_embedding_model: + type: string + description: >- + The embedding model used to create the chunk's embedding. + chunk_embedding_dimension: + type: integer + description: >- + The dimension of the embedding vector for the chunk. + content_token_count: + type: integer + description: >- + The number of tokens in the content of the chunk. + metadata_token_count: + type: integer + description: >- + The number of tokens in the metadata of the chunk. + additionalProperties: false + title: ChunkMetadata + description: >- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional + information about the chunk that will not be used in the context during + inference, but is required for backend functionality. The `ChunkMetadata` is + set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not + expected to change after. Use `Chunk.metadata` for metadata that will + be used in the context during inference. + InsertChunksRequest: + type: object + properties: + vector_db_id: + type: string + description: >- + The identifier of the vector database to insert the chunks into. + chunks: + type: array + items: + $ref: '#/components/schemas/Chunk' + description: >- + The chunks to insert. Each `Chunk` should contain content which can be + interleaved text, images, or other types. `metadata`: `dict[str, Any]` + and `embedding`: `List[float]` are optional. If `metadata` is provided, + you configure how Llama Stack formats the chunk during generation. If + `embedding` is not provided, it will be computed later. + ttl_seconds: + type: integer + description: The time to live of the chunks. + additionalProperties: false + required: + - vector_db_id + - chunks + title: InsertChunksRequest + QueryChunksRequest: + type: object + properties: + vector_db_id: + type: string + description: >- + The identifier of the vector database to query. + query: + $ref: '#/components/schemas/InterleavedContent' + description: The query to search for. + params: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The parameters of the query. + additionalProperties: false + required: + - vector_db_id + - query + title: QueryChunksRequest + QueryChunksResponse: + type: object + properties: + chunks: + type: array + items: + $ref: '#/components/schemas/Chunk' + description: >- + List of content chunks returned from the query + scores: + type: array + items: + type: number + description: >- + Relevance scores corresponding to each returned chunk + additionalProperties: false + required: + - chunks + - scores + title: QueryChunksResponse + description: >- + Response from querying chunks in a vector database. + VectorStoreFileCounts: + type: object + properties: + completed: + type: integer + description: >- + Number of files that have been successfully processed + cancelled: + type: integer + description: >- + Number of files that had their processing cancelled + failed: + type: integer + description: Number of files that failed to process + in_progress: + type: integer + description: >- + Number of files currently being processed + total: + type: integer + description: >- + Total number of files in the vector store + additionalProperties: false + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: >- + File processing status counts for a vector store. + VectorStoreListResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreObject' + description: List of vector store objects + first_id: + type: string + description: >- + (Optional) ID of the first vector store in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last vector store in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more vector stores available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListResponse + description: Response from listing vector stores. + VectorStoreObject: + type: object + properties: + id: + type: string + description: Unique identifier for the vector store + object: + type: string + default: vector_store + description: >- + Object type identifier, always "vector_store" + created_at: + type: integer + description: >- + Timestamp when the vector store was created + name: + type: string + description: (Optional) Name of the vector store + usage_bytes: + type: integer + default: 0 + description: >- + Storage space used by the vector store in bytes + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the vector store + status: + type: string + default: completed + description: Current status of the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + expires_at: + type: integer + description: >- + (Optional) Timestamp when the vector store will expire + last_active_at: + type: integer + description: >- + (Optional) Timestamp of last activity on the vector store + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + required: + - id + - object + - created_at + - usage_bytes + - file_counts + - status + - metadata + title: VectorStoreObject + description: OpenAI Vector Store object. + "OpenAICreateVectorStoreRequestWithExtraBody": + type: object + properties: + name: + type: string + description: (Optional) A name for the vector store + file_ids: + type: array + items: + type: string + description: >- + List of file IDs to include in the vector store + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Expiration policy for the vector store + chunking_strategy: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Strategy for splitting files into chunks + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of key-value pairs that can be attached to the vector store + additionalProperties: false + title: >- + OpenAICreateVectorStoreRequestWithExtraBody + description: >- + Request to create a vector store with extra_body support. + OpenaiUpdateVectorStoreRequest: + type: object + properties: + name: + type: string + description: The name of the vector store. + expires_after: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The expiration policy for a vector store. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Set of 16 key-value pairs that can be attached to an object. + additionalProperties: false + title: OpenaiUpdateVectorStoreRequest + VectorStoreDeleteResponse: + type: object + properties: + id: + type: string + description: >- + Unique identifier of the deleted vector store + object: + type: string + default: vector_store.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreChunkingStrategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreChunkingStrategyAuto: + type: object + properties: + type: + type: string + const: auto + default: auto + description: >- + Strategy type, always "auto" for automatic chunking + additionalProperties: false + required: + - type + title: VectorStoreChunkingStrategyAuto + description: >- + Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + type: object + properties: + type: + type: string + const: static + default: static + description: >- + Strategy type, always "static" for static chunking + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + description: >- + Configuration parameters for the static chunking strategy + additionalProperties: false + required: + - type + - static + title: VectorStoreChunkingStrategyStatic + description: >- + Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + type: object + properties: + chunk_overlap_tokens: + type: integer + default: 400 + description: >- + Number of tokens to overlap between adjacent chunks + max_chunk_size_tokens: + type: integer + default: 800 + description: >- + Maximum number of tokens per chunk, must be between 100 and 4096 + additionalProperties: false + required: + - chunk_overlap_tokens + - max_chunk_size_tokens + title: VectorStoreChunkingStrategyStaticConfig + description: >- + Configuration for static chunking strategy. + "OpenAICreateVectorStoreFileBatchRequestWithExtraBody": + type: object + properties: + file_ids: + type: array + items: + type: string + description: >- + A list of File IDs that the vector store should use + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Key-value attributes to store with the files + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + (Optional) The chunking strategy used to chunk the file(s). Defaults to + auto + additionalProperties: false + required: + - file_ids + title: >- + OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: >- + Request to create a vector store file batch with extra_body support. + VectorStoreFileBatchObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file batch + object: + type: string + default: vector_store.file_batch + description: >- + Object type identifier, always "vector_store.file_batch" + created_at: + type: integer + description: >- + Timestamp when the file batch was created + vector_store_id: + type: string + description: >- + ID of the vector store containing the file batch + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: >- + Current processing status of the file batch + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + description: >- + File processing status counts for the batch + additionalProperties: false + required: + - id + - object + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileStatus: + oneOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + VectorStoreFileLastError: + type: object + properties: + code: + oneOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + description: >- + Error code indicating the type of failure + message: + type: string + description: >- + Human-readable error message describing the failure + additionalProperties: false + required: + - code + - message + title: VectorStoreFileLastError + description: >- + Error information for failed vector store file processing. + VectorStoreFileObject: + type: object + properties: + id: + type: string + description: Unique identifier for the file + object: + type: string + default: vector_store.file + description: >- + Object type identifier, always "vector_store.file" + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + description: >- + Strategy used for splitting the file into chunks + created_at: + type: integer + description: >- + Timestamp when the file was added to the vector store + last_error: + $ref: '#/components/schemas/VectorStoreFileLastError' + description: >- + (Optional) Error information if file processing failed + status: + $ref: '#/components/schemas/VectorStoreFileStatus' + description: Current processing status of the file + usage_bytes: + type: integer + default: 0 + description: Storage space used by this file in bytes + vector_store_id: + type: string + description: >- + ID of the vector store containing this file + additionalProperties: false + required: + - id + - object + - attributes + - chunking_strategy + - created_at + - status + - usage_bytes + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreFilesListInBatchResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: >- + List of vector store file objects in the batch + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreFilesListInBatchResponse + description: >- + Response from listing files in a vector store file batch. + VectorStoreListFilesResponse: + type: object + properties: + object: + type: string + default: list + description: Object type identifier, always "list" + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreFileObject' + description: List of vector store file objects + first_id: + type: string + description: >- + (Optional) ID of the first file in the list for pagination + last_id: + type: string + description: >- + (Optional) ID of the last file in the list for pagination + has_more: + type: boolean + default: false + description: >- + Whether there are more files available beyond this page + additionalProperties: false + required: + - object + - data + - has_more + title: VectorStoreListFilesResponse + description: >- + Response from listing files in a vector store. + OpenaiAttachFileToVectorStoreRequest: + type: object + properties: + file_id: + type: string + description: >- + The ID of the file to attach to the vector store. + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The key-value attributes stored with the file, which can be used for filtering. + chunking_strategy: + $ref: '#/components/schemas/VectorStoreChunkingStrategy' + description: >- + The chunking strategy to use for the file. + additionalProperties: false + required: + - file_id + title: OpenaiAttachFileToVectorStoreRequest + OpenaiUpdateVectorStoreFileRequest: + type: object + properties: + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The updated key-value attributes to store with the file. + additionalProperties: false + required: + - attributes + title: OpenaiUpdateVectorStoreFileRequest + VectorStoreFileDeleteResponse: + type: object + properties: + id: + type: string + description: Unique identifier of the deleted file + object: + type: string + default: vector_store.file.deleted + description: >- + Object type identifier for the deletion response + deleted: + type: boolean + default: true + description: >- + Whether the deletion operation was successful + additionalProperties: false + required: + - id + - object + - deleted + title: VectorStoreFileDeleteResponse + description: >- + Response from deleting a vector store file. + VectorStoreContent: + type: object + properties: + type: + type: string + const: text + description: >- + Content type, currently only "text" is supported + text: + type: string + description: The actual text content + additionalProperties: false + required: + - type + - text + title: VectorStoreContent + description: >- + Content item from a vector store file or search result. + VectorStoreFileContentsResponse: + type: object + properties: + file_id: + type: string + description: Unique identifier for the file + filename: + type: string + description: Name of the file + attributes: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: List of content items from the file + additionalProperties: false + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: >- + Response from retrieving the contents of a vector store file. + OpenaiSearchVectorStoreRequest: + type: object + properties: + query: + oneOf: + - type: string + - type: array + items: + type: string + description: >- + The query string or array for performing the search. + filters: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + Filters based on file attributes to narrow the search results. + max_num_results: + type: integer + description: >- + Maximum number of results to return (1 to 50 inclusive, default 10). + ranking_options: + type: object + properties: + ranker: + type: string + description: >- + (Optional) Name of the ranking algorithm to use + score_threshold: + type: number + default: 0.0 + description: >- + (Optional) Minimum relevance score threshold for results + additionalProperties: false + description: >- + Ranking options for fine-tuning the search results. + rewrite_query: + type: boolean + description: >- + Whether to rewrite the natural language query for vector search (default + false) + search_mode: + type: string + description: >- + The search mode to use - "keyword", "vector", or "hybrid" (default "vector") + additionalProperties: false + required: + - query + title: OpenaiSearchVectorStoreRequest + VectorStoreSearchResponse: + type: object + properties: + file_id: + type: string + description: >- + Unique identifier of the file containing the result + filename: + type: string + description: Name of the file containing the result + score: + type: number + description: Relevance score for this search result + attributes: + type: object + additionalProperties: + oneOf: + - type: string + - type: number + - type: boolean + description: >- + (Optional) Key-value attributes associated with the file + content: + type: array + items: + $ref: '#/components/schemas/VectorStoreContent' + description: >- + List of content items matching the search query + additionalProperties: false + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + type: object + properties: + object: + type: string + default: vector_store.search_results.page + description: >- + Object type identifier for the search results page + search_query: + type: string + description: >- + The original search query that was executed + data: + type: array + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + description: List of search result objects + has_more: + type: boolean + default: false + description: >- + Whether there are more results available beyond this page + next_page: + type: string + description: >- + (Optional) Token for retrieving the next page of results + additionalProperties: false + required: + - object + - search_query + - data + - has_more + title: VectorStoreSearchResponsePage + description: >- + Paginated response from searching a vector store. + VersionInfo: + type: object + properties: + version: + type: string + description: Version number of the service + additionalProperties: false + required: + - version + title: VersionInfo + description: Version information for the service. + AppendRowsRequest: + type: object + properties: + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to append to the dataset. + additionalProperties: false + required: + - rows + title: AppendRowsRequest + PaginatedResponse: + type: object + properties: + data: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The list of items for the current page + has_more: + type: boolean + description: >- + Whether there are more items available after this set + url: + type: string + description: The URL for accessing this list + additionalProperties: false + required: + - data + - has_more + title: PaginatedResponse + description: >- + A generic paginated response that follows a simple format. + Dataset: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: dataset + default: dataset + description: >- + Type of resource, always 'dataset' for datasets + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + Purpose of the dataset indicating its intended use + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + description: >- + Data source configuration for the dataset + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Additional metadata for the dataset + additionalProperties: false + required: + - identifier + - provider_id + - type + - purpose + - source + - metadata + title: Dataset + description: >- + Dataset resource for storing and accessing training or evaluation data. + RowsDataSource: + type: object + properties: + type: + type: string + const: rows + default: rows + rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user", + "content": "Hello, world!"}, {"role": "assistant", "content": "Hello, + world!"}]} ] + additionalProperties: false + required: + - type + - rows + title: RowsDataSource + description: A dataset stored in rows. + URIDataSource: + type: object + properties: + type: + type: string + const: uri + default: uri + uri: + type: string + description: >- + The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl" + - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}" + additionalProperties: false + required: + - type + - uri + title: URIDataSource + description: >- + A dataset that can be obtained from a URI. + ListDatasetsResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Dataset' + description: List of datasets + additionalProperties: false + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + DataSource: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + discriminator: + propertyName: type + mapping: + uri: '#/components/schemas/URIDataSource' + rows: '#/components/schemas/RowsDataSource' + RegisterDatasetRequest: + type: object + properties: + purpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + description: >- + The purpose of the dataset. One of: - "post-training/messages": The dataset + contains a messages column with list of messages for post-training. { + "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant", + "content": "Hello, world!"}, ] } - "eval/question-answer": The dataset + contains a question column and an answer column for evaluation. { "question": + "What is the capital of France?", "answer": "Paris" } - "eval/messages-answer": + The dataset contains a messages column with list of messages and an answer + column for evaluation. { "messages": [ {"role": "user", "content": "Hello, + my name is John Doe."}, {"role": "assistant", "content": "Hello, John + Doe. How can I help you today?"}, {"role": "user", "content": "What's + my name?"}, ], "answer": "John Doe" } + source: + $ref: '#/components/schemas/DataSource' + description: >- + The data source of the dataset. Ensure that the data source schema is + compatible with the purpose of the dataset. Examples: - { "type": "uri", + "uri": "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri": + "lsfs://mydata.jsonl" } - { "type": "uri", "uri": "data:csv;base64,{base64_content}" + } - { "type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train" + } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content": + "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ] + } ] } + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The metadata for the dataset. - E.g. {"description": "My dataset"}. + dataset_id: + type: string + description: >- + The ID of the dataset. If not provided, an ID will be generated. + additionalProperties: false + required: + - purpose + - source + title: RegisterDatasetRequest + AgentConfig: + type: object + properties: + sampling_params: + $ref: '#/components/schemas/SamplingParams' + input_shields: + type: array + items: + type: string + output_shields: + type: array + items: + type: string + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + client_tools: + type: array + items: + $ref: '#/components/schemas/ToolDef' + tool_choice: + type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following capabilities + of the model. + deprecated: true + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + description: >- + Prompt format for calling custom / zero shot tools. + deprecated: true + tool_config: + $ref: '#/components/schemas/ToolConfig' + max_infer_iters: + type: integer + default: 10 + model: + type: string + description: >- + The model identifier to use for the agent + instructions: + type: string + description: The system instructions for the agent + name: + type: string + description: >- + Optional name for the agent, used in telemetry and identification + enable_session_persistence: + type: boolean + default: false + description: >- + Optional flag indicating whether session data has to be persisted + response_format: + $ref: '#/components/schemas/ResponseFormat' + description: Optional response format configuration + additionalProperties: false + required: + - model + - instructions + title: AgentConfig + description: Configuration for an agent. + AgentTool: + oneOf: + - type: string + - type: object + properties: + name: + type: string + args: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + additionalProperties: false + required: + - name + - args + title: AgentToolGroupWithArgs + GrammarResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "grammar" to identify this format type + const: grammar + default: grammar + bnf: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The BNF grammar specification the response should conform to + additionalProperties: false + required: + - type + - bnf + title: GrammarResponseFormat + description: >- + Configuration for grammar-guided response generation. + GreedySamplingStrategy: + type: object + properties: + type: + type: string + const: greedy + default: greedy + description: >- + Must be "greedy" to identify this sampling strategy + additionalProperties: false + required: + - type + title: GreedySamplingStrategy + description: >- + Greedy sampling strategy that selects the highest probability token at each + step. + JsonSchemaResponseFormat: + type: object + properties: + type: + type: string + enum: + - json_schema + - grammar + description: >- + Must be "json_schema" to identify this format type + const: json_schema + default: json_schema + json_schema: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + The JSON schema the response should conform to. In a Python SDK, this + is often a `pydantic` model. + additionalProperties: false + required: + - type + - json_schema + title: JsonSchemaResponseFormat + description: >- + Configuration for JSON schema-guided response generation. + ResponseFormat: + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + discriminator: + propertyName: type + mapping: + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + grammar: '#/components/schemas/GrammarResponseFormat' + SamplingParams: + type: object + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + description: The sampling strategy. + max_tokens: + type: integer + default: 0 + description: >- + The maximum number of tokens that can be generated in the completion. + The token count of your prompt plus max_tokens cannot exceed the model's + context length. + repetition_penalty: + type: number + default: 1.0 + description: >- + Number between -2.0 and 2.0. Positive values penalize new tokens based + on whether they appear in the text so far, increasing the model's likelihood + to talk about new topics. + stop: + type: array + items: + type: string + description: >- + Up to 4 sequences where the API will stop generating further tokens. The + returned text will not contain the stop sequence. + additionalProperties: false + required: + - strategy + title: SamplingParams + description: Sampling parameters. + ToolConfig: + type: object + properties: + tool_choice: + oneOf: + - type: string + enum: + - auto + - required + - none + title: ToolChoice + description: >- + Whether tool use is required or automatic. This is a hint to the model + which may not be followed. It depends on the Instruction Following + capabilities of the model. + - type: string + default: auto + description: >- + (Optional) Whether tool use is automatic, required, or none. Can also + specify a tool name to use a specific tool. Defaults to ToolChoice.auto. + tool_prompt_format: + type: string + enum: + - json + - function_tag + - python_list + description: >- + (Optional) Instructs the model how to format tool calls. By default, Llama + Stack will attempt to use a format that is best adapted to the model. + - `ToolPromptFormat.json`: The tool calls are formatted as a JSON object. + - `ToolPromptFormat.function_tag`: The tool calls are enclosed in a + tag. - `ToolPromptFormat.python_list`: The tool calls are output as Python + syntax -- a list of function calls. + system_message_behavior: + type: string + enum: + - append + - replace + description: >- + (Optional) Config for how to override the default system prompt. - `SystemMessageBehavior.append`: + Appends the provided system message to the default system prompt. - `SystemMessageBehavior.replace`: + Replaces the default system prompt with the provided system message. The + system message can include the string '{{function_definitions}}' to indicate + where the function definitions should be inserted. + default: append + additionalProperties: false + title: ToolConfig + description: Configuration for tool use. + TopKSamplingStrategy: + type: object + properties: + type: + type: string + const: top_k + default: top_k + description: >- + Must be "top_k" to identify this sampling strategy + top_k: + type: integer + description: >- + Number of top tokens to consider for sampling. Must be at least 1 + additionalProperties: false + required: + - type + - top_k + title: TopKSamplingStrategy + description: >- + Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + type: object + properties: + type: + type: string + const: top_p + default: top_p + description: >- + Must be "top_p" to identify this sampling strategy + temperature: + type: number + description: >- + Controls randomness in sampling. Higher values increase randomness + top_p: + type: number + default: 0.95 + description: >- + Cumulative probability threshold for nucleus sampling. Defaults to 0.95 + additionalProperties: false + required: + - type + title: TopPSamplingStrategy + description: >- + Top-p (nucleus) sampling strategy that samples from the smallest set of tokens + with cumulative probability >= p. + CreateAgentRequest: + type: object + properties: + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: The configuration for the agent. + additionalProperties: false + required: + - agent_config + title: CreateAgentRequest + AgentCreateResponse: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the created agent + additionalProperties: false + required: + - agent_id + title: AgentCreateResponse + description: >- + Response returned when creating a new agent. + Agent: + type: object + properties: + agent_id: + type: string + description: Unique identifier for the agent + agent_config: + $ref: '#/components/schemas/AgentConfig' + description: Configuration settings for the agent + created_at: + type: string + format: date-time + description: Timestamp when the agent was created + additionalProperties: false + required: + - agent_id + - agent_config + - created_at + title: Agent + description: >- + An agent instance with configuration and metadata. + CreateAgentSessionRequest: + type: object + properties: + session_name: + type: string + description: The name of the session to create. + additionalProperties: false + required: + - session_name + title: CreateAgentSessionRequest + AgentSessionCreateResponse: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the created session + additionalProperties: false + required: + - session_id + title: AgentSessionCreateResponse + description: >- + Response returned when creating a new agent session. + InferenceStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: inference + default: inference + model_response: + $ref: '#/components/schemas/CompletionMessage' + description: The response from the LLM. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - model_response + title: InferenceStep + description: An inference step in an agent turn. + MemoryRetrievalStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: memory_retrieval + default: memory_retrieval + vector_db_ids: + type: string + description: >- + The IDs of the vector databases to retrieve context from. + inserted_context: + $ref: '#/components/schemas/InterleavedContent' + description: >- + The context retrieved from the vector databases. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - vector_db_ids + - inserted_context + title: MemoryRetrievalStep + description: >- + A memory retrieval step in an agent turn. + Session: + type: object + properties: + session_id: + type: string + description: >- + Unique identifier for the conversation session + session_name: + type: string + description: Human-readable name for the session + turns: + type: array + items: + $ref: '#/components/schemas/Turn' + description: >- + List of all turns that have occurred in this session + started_at: + type: string + format: date-time + description: Timestamp when the session was created + additionalProperties: false + required: + - session_id + - session_name + - turns + - started_at + title: Session + description: >- + A single session of an interaction with an Agentic System. + ShieldCallStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: shield_call + default: shield_call + violation: + $ref: '#/components/schemas/SafetyViolation' + description: The violation from the shield call. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + title: ShieldCallStep + description: A shield call step in an agent turn. + ToolExecutionStep: + type: object + properties: + turn_id: + type: string + description: The ID of the turn. + step_id: + type: string + description: The ID of the step. + started_at: + type: string + format: date-time + description: The time the step started. + completed_at: + type: string + format: date-time + description: The time the step completed. + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + title: StepType + description: Type of the step in an agent turn. + const: tool_execution + default: tool_execution + tool_calls: + type: array + items: + $ref: '#/components/schemas/ToolCall' + description: The tool calls to execute. + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: The tool responses from the tool calls. + additionalProperties: false + required: + - turn_id + - step_id + - step_type + - tool_calls + - tool_responses + title: ToolExecutionStep + description: A tool execution step in an agent turn. + ToolResponse: + type: object + properties: + call_id: + type: string + description: >- + Unique identifier for the tool call this response is for + tool_name: + oneOf: + - type: string + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + - type: string + description: Name of the tool that was invoked + content: + $ref: '#/components/schemas/InterleavedContent' + description: The response content from the tool + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata about the tool response + additionalProperties: false + required: + - call_id + - tool_name + - content + title: ToolResponse + description: Response from a tool invocation. + Turn: + type: object + properties: + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + session_id: + type: string + description: >- + Unique identifier for the conversation session + input_messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: >- + List of messages that initiated this turn + steps: + type: array + items: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + Ordered list of processing steps executed during this turn + output_message: + $ref: '#/components/schemas/CompletionMessage' + description: >- + The model's generated response containing content and metadata + output_attachments: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the attachment. + mime_type: + type: string + description: The MIME type of the attachment. + additionalProperties: false + required: + - content + - mime_type + title: Attachment + description: An attachment to an agent turn. + description: >- + (Optional) Files or media attached to the agent's response + started_at: + type: string + format: date-time + description: Timestamp when the turn began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the turn finished, if completed + additionalProperties: false + required: + - turn_id + - session_id + - input_messages + - steps + - output_message + - started_at + title: Turn + description: >- + A single turn in an interaction with an Agentic System. + CreateAgentTurnRequest: + type: object + properties: + messages: + type: array + items: + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + description: List of messages to start the turn with. + stream: + type: boolean + description: >- + (Optional) If True, generate an SSE event stream of the response. Defaults + to False. + documents: + type: array + items: + type: object + properties: + content: + oneOf: + - type: string + - $ref: '#/components/schemas/InterleavedContentItem' + - type: array + items: + $ref: '#/components/schemas/InterleavedContentItem' + - $ref: '#/components/schemas/URL' + description: The content of the document. + mime_type: + type: string + description: The MIME type of the document. + additionalProperties: false + required: + - content + - mime_type + title: Document + description: A document to be used by an agent. + description: >- + (Optional) List of documents to create the turn with. + toolgroups: + type: array + items: + $ref: '#/components/schemas/AgentTool' + description: >- + (Optional) List of toolgroups to create the turn with, will be used in + addition to the agent's config toolgroups for the request. + tool_config: + $ref: '#/components/schemas/ToolConfig' + description: >- + (Optional) The tool configuration to create the turn with, will be used + to override the agent's tool_config. + additionalProperties: false + required: + - messages + title: CreateAgentTurnRequest + AgentTurnResponseEvent: + type: object + properties: + payload: + oneOf: + - $ref: '#/components/schemas/AgentTurnResponseStepStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepProgressPayload' + - $ref: '#/components/schemas/AgentTurnResponseStepCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnStartPayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + - $ref: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + discriminator: + propertyName: event_type + mapping: + step_start: '#/components/schemas/AgentTurnResponseStepStartPayload' + step_progress: '#/components/schemas/AgentTurnResponseStepProgressPayload' + step_complete: '#/components/schemas/AgentTurnResponseStepCompletePayload' + turn_start: '#/components/schemas/AgentTurnResponseTurnStartPayload' + turn_complete: '#/components/schemas/AgentTurnResponseTurnCompletePayload' + turn_awaiting_input: '#/components/schemas/AgentTurnResponseTurnAwaitingInputPayload' + description: >- + Event-specific payload containing event data + additionalProperties: false + required: + - payload + title: AgentTurnResponseEvent + description: >- + An event in an agent turn response stream. + AgentTurnResponseStepCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_complete + default: step_complete + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + step_details: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: Complete details of the executed step + additionalProperties: false + required: + - event_type + - step_type + - step_id + - step_details + title: AgentTurnResponseStepCompletePayload + description: >- + Payload for step completion events in agent turn responses. + AgentTurnResponseStepProgressPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_progress + default: step_progress + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + delta: + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + discriminator: + propertyName: type + mapping: + text: '#/components/schemas/TextDelta' + image: '#/components/schemas/ImageDelta' + tool_call: '#/components/schemas/ToolCallDelta' + description: >- + Incremental content changes during step execution + additionalProperties: false + required: + - event_type + - step_type + - step_id + - delta + title: AgentTurnResponseStepProgressPayload + description: >- + Payload for step progress events in agent turn responses. + AgentTurnResponseStepStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: step_start + default: step_start + description: Type of event being reported + step_type: + type: string + enum: + - inference + - tool_execution + - shield_call + - memory_retrieval + description: Type of step being executed + step_id: + type: string + description: >- + Unique identifier for the step within a turn + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Additional metadata for the step + additionalProperties: false + required: + - event_type + - step_type + - step_id + title: AgentTurnResponseStepStartPayload + description: >- + Payload for step start events in agent turn responses. + AgentTurnResponseStreamChunk: + type: object + properties: + event: + $ref: '#/components/schemas/AgentTurnResponseEvent' + description: >- + Individual event in the agent turn response stream + additionalProperties: false + required: + - event + title: AgentTurnResponseStreamChunk + description: Streamed agent turn completion response. + "AgentTurnResponseTurnAwaitingInputPayload": + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_awaiting_input + default: turn_awaiting_input + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Turn data when waiting for external tool responses + additionalProperties: false + required: + - event_type + - turn + title: >- + AgentTurnResponseTurnAwaitingInputPayload + description: >- + Payload for turn awaiting input events in agent turn responses. + AgentTurnResponseTurnCompletePayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_complete + default: turn_complete + description: Type of event being reported + turn: + $ref: '#/components/schemas/Turn' + description: >- + Complete turn data including all steps and results + additionalProperties: false + required: + - event_type + - turn + title: AgentTurnResponseTurnCompletePayload + description: >- + Payload for turn completion events in agent turn responses. + AgentTurnResponseTurnStartPayload: + type: object + properties: + event_type: + type: string + enum: + - step_start + - step_complete + - step_progress + - turn_start + - turn_complete + - turn_awaiting_input + const: turn_start + default: turn_start + description: Type of event being reported + turn_id: + type: string + description: >- + Unique identifier for the turn within a session + additionalProperties: false + required: + - event_type + - turn_id + title: AgentTurnResponseTurnStartPayload + description: >- + Payload for turn start events in agent turn responses. + ImageDelta: + type: object + properties: + type: + type: string + const: image + default: image + description: >- + Discriminator type of the delta. Always "image" + image: + type: string + contentEncoding: base64 + description: The incremental image data as bytes + additionalProperties: false + required: + - type + - image + title: ImageDelta + description: >- + An image content delta for streaming responses. + TextDelta: + type: object + properties: + type: + type: string + const: text + default: text + description: >- + Discriminator type of the delta. Always "text" + text: + type: string + description: The incremental text content + additionalProperties: false + required: + - type + - text + title: TextDelta + description: >- + A text content delta for streaming responses. + ToolCallDelta: + type: object + properties: + type: + type: string + const: tool_call + default: tool_call + description: >- + Discriminator type of the delta. Always "tool_call" + tool_call: + oneOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + description: >- + Either an in-progress tool call string or the final parsed tool call + parse_status: + type: string + enum: + - started + - in_progress + - failed + - succeeded + description: Current parsing status of the tool call + additionalProperties: false + required: + - type + - tool_call + - parse_status + title: ToolCallDelta + description: >- + A tool call content delta for streaming responses. + ResumeAgentTurnRequest: + type: object + properties: + tool_responses: + type: array + items: + $ref: '#/components/schemas/ToolResponse' + description: >- + The tool call responses to resume the turn with. + stream: + type: boolean + description: Whether to stream the response. + additionalProperties: false + required: + - tool_responses + title: ResumeAgentTurnRequest + AgentStepResponse: + type: object + properties: + step: + oneOf: + - $ref: '#/components/schemas/InferenceStep' + - $ref: '#/components/schemas/ToolExecutionStep' + - $ref: '#/components/schemas/ShieldCallStep' + - $ref: '#/components/schemas/MemoryRetrievalStep' + discriminator: + propertyName: step_type + mapping: + inference: '#/components/schemas/InferenceStep' + tool_execution: '#/components/schemas/ToolExecutionStep' + shield_call: '#/components/schemas/ShieldCallStep' + memory_retrieval: '#/components/schemas/MemoryRetrievalStep' + description: >- + The complete step data and execution details + additionalProperties: false + required: + - step + title: AgentStepResponse + description: >- + Response containing details of a specific agent step. + Benchmark: + type: object + properties: + identifier: + type: string + provider_resource_id: + type: string + provider_id: + type: string + type: + type: string + enum: + - model + - shield + - vector_store + - dataset + - scoring_function + - benchmark + - tool + - tool_group + - prompt + const: benchmark + default: benchmark + description: The resource type, always benchmark + dataset_id: + type: string + description: >- + Identifier of the dataset to use for the benchmark evaluation + scoring_functions: + type: array + items: + type: string + description: >- + List of scoring function identifiers to apply during evaluation + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: Metadata for this evaluation task + additionalProperties: false + required: + - identifier + - provider_id + - type + - dataset_id + - scoring_functions + - metadata + title: Benchmark + description: >- + A benchmark resource for evaluating model performance. + ListBenchmarksResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/Benchmark' + additionalProperties: false + required: + - data + title: ListBenchmarksResponse + RegisterBenchmarkRequest: + type: object + properties: + benchmark_id: + type: string + description: The ID of the benchmark to register. + dataset_id: + type: string + description: >- + The ID of the dataset to use for the benchmark. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the benchmark. + provider_benchmark_id: + type: string + description: >- + The ID of the provider benchmark to use for the benchmark. + provider_id: + type: string + description: >- + The ID of the provider to use for the benchmark. + metadata: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The metadata to use for the benchmark. + additionalProperties: false + required: + - benchmark_id + - dataset_id + - scoring_functions + title: RegisterBenchmarkRequest + AgentCandidate: + type: object + properties: + type: + type: string + const: agent + default: agent + config: + $ref: '#/components/schemas/AgentConfig' + description: >- + The configuration for the agent candidate. + additionalProperties: false + required: + - type + - config + title: AgentCandidate + description: An agent candidate for evaluation. + BenchmarkConfig: + type: object + properties: + eval_candidate: + oneOf: + - $ref: '#/components/schemas/ModelCandidate' + - $ref: '#/components/schemas/AgentCandidate' + discriminator: + propertyName: type + mapping: + model: '#/components/schemas/ModelCandidate' + agent: '#/components/schemas/AgentCandidate' + description: The candidate to evaluate. + scoring_params: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringFnParams' + description: >- + Map between scoring function id and parameters for each scoring function + you want to run + num_examples: + type: integer + description: >- + (Optional) The number of examples to evaluate. If not provided, all examples + in the dataset will be evaluated + additionalProperties: false + required: + - eval_candidate + - scoring_params + title: BenchmarkConfig + description: >- + A benchmark configuration for evaluation. + ModelCandidate: + type: object + properties: + type: + type: string + const: model + default: model + model: + type: string + description: The model ID to evaluate. + sampling_params: + $ref: '#/components/schemas/SamplingParams' + description: The sampling parameters for the model. + system_message: + $ref: '#/components/schemas/SystemMessage' + description: >- + (Optional) The system message providing instructions or context to the + model. + additionalProperties: false + required: + - type + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + EvaluateRowsRequest: + type: object + properties: + input_rows: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The rows to evaluate. + scoring_functions: + type: array + items: + type: string + description: >- + The scoring functions to use for the evaluation. + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - input_rows + - scoring_functions + - benchmark_config + title: EvaluateRowsRequest + EvaluateResponse: + type: object + properties: + generations: + type: array + items: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The generations from the evaluation. + scores: + type: object + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + description: The scores from the evaluation. + additionalProperties: false + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + RunEvalRequest: + type: object + properties: + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + description: The configuration for the benchmark. + additionalProperties: false + required: + - benchmark_config + title: RunEvalRequest + Job: + type: object + properties: + job_id: + type: string + description: Unique identifier for the job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current execution status of the job + additionalProperties: false + required: + - job_id + - status + title: Job + description: >- + A job execution instance with status tracking. + RerankRequest: + type: object + properties: + model: + type: string + description: >- + The identifier of the reranking model to use. + query: + oneOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + description: >- + The search query to rank items against. Can be a string, text content + part, or image content part. The input must not exceed the model's max + input token length. + items: + type: array + items: + oneOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + description: >- + List of items to rerank. Each item can be a string, text content part, + or image content part. Each input must not exceed the model's max input + token length. + max_num_results: + type: integer + description: >- + (Optional) Maximum number of results to return. Default: returns all. + additionalProperties: false + required: + - model + - query + - items + title: RerankRequest + RerankData: + type: object + properties: + index: + type: integer + description: >- + The original index of the document in the input list + relevance_score: + type: number + description: >- + The relevance score from the model output. Values are inverted when applicable + so that higher scores indicate greater relevance. + additionalProperties: false + required: + - index + - relevance_score + title: RerankData + description: >- + A single rerank result from a reranking response. + RerankResponse: + type: object + properties: + data: + type: array + items: + $ref: '#/components/schemas/RerankData' + description: >- + List of rerank result objects, sorted by relevance score (descending) + additionalProperties: false + required: + - data + title: RerankResponse + description: Response from a reranking request. + Checkpoint: + type: object + properties: + identifier: + type: string + description: Unique identifier for the checkpoint + created_at: + type: string + format: date-time + description: >- + Timestamp when the checkpoint was created + epoch: + type: integer + description: >- + Training epoch when the checkpoint was saved + post_training_job_id: + type: string + description: >- + Identifier of the training job that created this checkpoint + path: + type: string + description: >- + File system path where the checkpoint is stored + training_metrics: + $ref: '#/components/schemas/PostTrainingMetric' + description: >- + (Optional) Training metrics associated with this checkpoint + additionalProperties: false + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + description: Checkpoint created during training runs. + PostTrainingJobArtifactsResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - checkpoints + title: PostTrainingJobArtifactsResponse + description: Artifacts of a finetuning job. + PostTrainingMetric: + type: object + properties: + epoch: + type: integer + description: Training epoch number + train_loss: + type: number + description: Loss value on the training dataset + validation_loss: + type: number + description: Loss value on the validation dataset + perplexity: + type: number + description: >- + Perplexity metric indicating model confidence + additionalProperties: false + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + description: >- + Training metrics captured during post-training jobs. + CancelTrainingJobRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to cancel. + additionalProperties: false + required: + - job_uuid + title: CancelTrainingJobRequest + PostTrainingJobStatusResponse: + type: object + properties: + job_uuid: + type: string + description: Unique identifier for the training job + status: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + description: Current status of the training job + scheduled_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job was scheduled + started_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job execution began + completed_at: + type: string + format: date-time + description: >- + (Optional) Timestamp when the job finished, if completed + resources_allocated: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: >- + (Optional) Information about computational resources allocated to the + job + checkpoints: + type: array + items: + $ref: '#/components/schemas/Checkpoint' + description: >- + List of model checkpoints created during training + additionalProperties: false + required: + - job_uuid + - status + - checkpoints + title: PostTrainingJobStatusResponse + description: Status of a finetuning job. + ListPostTrainingJobsResponse: + type: object + properties: + data: + type: array + items: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + additionalProperties: false + required: + - data + title: ListPostTrainingJobsResponse + DPOAlignmentConfig: + type: object + properties: + beta: + type: number + description: Temperature parameter for the DPO loss + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + description: The type of loss function to use for DPO + additionalProperties: false + required: + - beta + - loss_type + title: DPOAlignmentConfig + description: >- + Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + type: object + properties: + dataset_id: + type: string + description: >- + Unique identifier for the training dataset + batch_size: + type: integer + description: Number of samples per training batch + shuffle: + type: boolean + description: >- + Whether to shuffle the dataset during training + data_format: + $ref: '#/components/schemas/DatasetFormat' + description: >- + Format of the dataset (instruct or dialog) + validation_dataset_id: + type: string + description: >- + (Optional) Unique identifier for the validation dataset + packed: + type: boolean + default: false + description: >- + (Optional) Whether to pack multiple samples into a single sequence for + efficiency + train_on_input: + type: boolean + default: false + description: >- + (Optional) Whether to compute loss on input tokens as well as output tokens + additionalProperties: false + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: >- + Configuration for training data and data loading. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + EfficiencyConfig: + type: object + properties: + enable_activation_checkpointing: + type: boolean + default: false + description: >- + (Optional) Whether to use activation checkpointing to reduce memory usage + enable_activation_offloading: + type: boolean + default: false + description: >- + (Optional) Whether to offload activations to CPU to save GPU memory + memory_efficient_fsdp_wrap: + type: boolean + default: false + description: >- + (Optional) Whether to use memory-efficient FSDP wrapping + fsdp_cpu_offload: + type: boolean + default: false + description: >- + (Optional) Whether to offload FSDP parameters to CPU + additionalProperties: false + title: EfficiencyConfig + description: >- + Configuration for memory and compute efficiency optimizations. + OptimizerConfig: + type: object + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + description: >- + Type of optimizer to use (adam, adamw, or sgd) + lr: + type: number + description: Learning rate for the optimizer + weight_decay: + type: number + description: >- + Weight decay coefficient for regularization + num_warmup_steps: + type: integer + description: Number of steps for learning rate warmup + additionalProperties: false + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: >- + Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: >- + Available optimizer algorithms for training. + TrainingConfig: + type: object + properties: + n_epochs: + type: integer + description: Number of training epochs to run + max_steps_per_epoch: + type: integer + default: 1 + description: Maximum number of steps to run per epoch + gradient_accumulation_steps: + type: integer + default: 1 + description: >- + Number of steps to accumulate gradients before updating + max_validation_steps: + type: integer + default: 1 + description: >- + (Optional) Maximum number of validation steps per epoch + data_config: + $ref: '#/components/schemas/DataConfig' + description: >- + (Optional) Configuration for data loading and formatting + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' + description: >- + (Optional) Configuration for the optimization algorithm + efficiency_config: + $ref: '#/components/schemas/EfficiencyConfig' + description: >- + (Optional) Configuration for memory and compute optimizations + dtype: + type: string + default: bf16 + description: >- + (Optional) Data type for model parameters (bf16, fp16, fp32) + additionalProperties: false + required: + - n_epochs + - max_steps_per_epoch + - gradient_accumulation_steps + title: TrainingConfig + description: >- + Comprehensive configuration for the training process. + PreferenceOptimizeRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + finetuned_model: + type: string + description: The model to fine-tune. + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + description: The algorithm configuration. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + additionalProperties: false + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: PreferenceOptimizeRequest + PostTrainingJob: + type: object + properties: + job_uuid: + type: string + additionalProperties: false + required: + - job_uuid + title: PostTrainingJob + AlgorithmConfig: + oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + LoraFinetuningConfig: + type: object + properties: + type: + type: string + const: LoRA + default: LoRA + description: Algorithm type identifier, always "LoRA" + lora_attn_modules: + type: array + items: + type: string + description: >- + List of attention module names to apply LoRA to + apply_lora_to_mlp: + type: boolean + description: Whether to apply LoRA to MLP layers + apply_lora_to_output: + type: boolean + description: >- + Whether to apply LoRA to output projection layers + rank: + type: integer + description: >- + Rank of the LoRA adaptation (lower rank = fewer parameters) + alpha: + type: integer + description: >- + LoRA scaling parameter that controls adaptation strength + use_dora: + type: boolean + default: false + description: >- + (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) + quantize_base: + type: boolean + default: false + description: >- + (Optional) Whether to quantize the base model weights + additionalProperties: false + required: + - type + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: >- + Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + QATFinetuningConfig: + type: object + properties: + type: + type: string + const: QAT + default: QAT + description: Algorithm type identifier, always "QAT" + quantizer_name: + type: string + description: >- + Name of the quantization algorithm to use + group_size: + type: integer + description: Size of groups for grouped quantization + additionalProperties: false + required: + - type + - quantizer_name + - group_size + title: QATFinetuningConfig + description: >- + Configuration for Quantization-Aware Training (QAT) fine-tuning. + SupervisedFineTuneRequest: + type: object + properties: + job_uuid: + type: string + description: The UUID of the job to create. + training_config: + $ref: '#/components/schemas/TrainingConfig' + description: The training configuration. + hyperparam_search_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The hyperparam search configuration. + logger_config: + type: object + additionalProperties: + oneOf: + - type: 'null' + - type: boolean + - type: number + - type: string + - type: array + - type: object + description: The logger configuration. + model: + type: string + description: The model to fine-tune. + checkpoint_dir: + type: string + description: The directory to save checkpoint(s) to. + algorithm_config: + $ref: '#/components/schemas/AlgorithmConfig' + description: The algorithm configuration. + additionalProperties: false + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: SupervisedFineTuneRequest + responses: + BadRequest400: + description: The request was invalid or malformed + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 400 + title: Bad Request + detail: The request was invalid or malformed + TooManyRequests429: + description: >- + The client has sent too many requests in a given amount of time + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 429 + title: Too Many Requests + detail: >- + You have exceeded the rate limit. Please try again later. + InternalServerError500: + description: >- + The server encountered an unexpected error + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 500 + title: Internal Server Error + detail: >- + An unexpected error occurred. Our team has been notified. + DefaultError: + description: An unexpected error occurred + content: + application/json: + schema: + $ref: '#/components/schemas/Error' + example: + status: 0 + title: Error + detail: An unexpected error occurred +security: + - Default: [] +tags: + - name: Agents + description: >- + APIs for creating and interacting with agentic systems. + x-displayName: Agents + - name: Benchmarks + description: '' + - name: Conversations + description: >- + Protocol for conversation management operations. + x-displayName: Conversations + - name: DatasetIO + description: '' + - name: Datasets + description: '' + - name: Eval + description: >- + Llama Stack Evaluation API for running evaluations on model and agent candidates. + x-displayName: Evaluations + - name: Files + description: >- + This API is used to upload documents that can be used with other Llama Stack + APIs. + x-displayName: Files + - name: Inference + description: >- + Llama Stack Inference API for generating completions, chat completions, and + embeddings. + + + This API provides the raw interface to the underlying models. Two kinds of models + are supported: + + - LLM models: these models generate "raw" and "chat" (conversational) completions. + + - Embedding models: these models generate embeddings to be used for semantic + search. + x-displayName: Inference + - name: Inspect + description: >- + APIs for inspecting the Llama Stack service, including health status, available + API routes with methods and implementing providers. + x-displayName: Inspect + - name: Models + description: '' + - name: PostTraining (Coming Soon) + description: '' + - name: Prompts + description: >- + Protocol for prompt management operations. + x-displayName: Prompts + - name: Providers + description: >- + Providers API for inspecting, listing, and modifying providers and their configurations. + x-displayName: Providers + - name: Safety + description: OpenAI-compatible Moderations API. + x-displayName: Safety + - name: Scoring + description: '' + - name: ScoringFunctions + description: '' + - name: Shields + description: '' + - name: SyntheticDataGeneration (Coming Soon) + description: '' + - name: ToolGroups + description: '' + - name: ToolRuntime + description: '' + - name: VectorIO + description: '' +x-tagGroups: + - name: Operations + tags: + - Agents + - Benchmarks + - Conversations + - DatasetIO + - Datasets + - Eval + - Files + - Inference + - Inspect + - Models + - PostTraining (Coming Soon) + - Prompts + - Providers + - Safety + - Scoring + - ScoringFunctions + - Shields + - SyntheticDataGeneration (Coming Soon) + - ToolGroups + - ToolRuntime + - VectorIO diff --git a/versionsArchived.json b/versionsArchived.json index 295a056a..b18f1432 100644 --- a/versionsArchived.json +++ b/versionsArchived.json @@ -1,4 +1,5 @@ { + "v0.3.0": "https://llamastack.github.io/v0.3.0/", "v0.2.22": "https://llamastack.github.io/v0.2.22/", "v0.2.21": "https://llamastack.github.io/v0.2.21/", "v0.2.20": "https://llamastack.github.io/v0.2.20/",

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