diff --git a/client-sdks/stainless/config.yml b/client-sdks/stainless/config.yml index e9b33581be..6c790bc54a 100644 --- a/client-sdks/stainless/config.yml +++ b/client-sdks/stainless/config.yml @@ -175,6 +175,10 @@ resources: models: response_object_stream: OpenAIResponseObjectStream response_object: OpenAIResponseObject + compacted_response: OpenAICompactedResponse + response_input: OpenAIResponseInput + response_message: OpenAIResponseMessage + response_output: OpenAIResponseOutput methods: create: type: http @@ -189,6 +193,9 @@ resources: delete: type: http endpoint: delete /v1/responses/{response_id} + compact: + type: http + endpoint: post /v1/responses/compact subresources: input_items: methods: diff --git a/client-sdks/stainless/openapi.yml b/client-sdks/stainless/openapi.yml index 495df0e0c5..b2c8955800 100644 --- a/client-sdks/stainless/openapi.yml +++ b/client-sdks/stainless/openapi.yml @@ -3733,6 +3733,38 @@ paths: summary: Get service version description: Get the version of the service. operationId: version_v1alpha_admin_version_get + /v1/responses/compact: + post: + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompactedResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + tags: + - Responses + summary: Compact a conversation. + description: Compresses conversation history into a smaller representation while preserving context. + operationId: compact_openai_response_v1_responses_compact_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CompactResponseRequest' + required: true /v1/responses/{response_id}/cancel: post: responses: @@ -6947,9 +6979,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage' title: OpenAIResponseMessage - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) OpenAIResponseInputToolFileSearch: properties: type: @@ -7254,40 +7288,7 @@ components: title: Store input: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Input required: @@ -8909,40 +8910,7 @@ components: properties: data: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Data object: @@ -11334,6 +11302,7 @@ components: - failed - total title: BatchRequestCounts + description: The request counts for different statuses within the batch. BatchUsage: properties: input_tokens: @@ -11357,6 +11326,10 @@ components: - output_tokens_details - total_tokens title: BatchUsage + description: |- + Represents token usage details including input tokens, output tokens, a + breakdown of output tokens, and the total tokens used. Only populated on + batches created after September 7, 2025. Body_process_file_v1alpha_file_processors_process_post: properties: file: @@ -11403,6 +11376,78 @@ components: - file - purpose title: Body_upload_file_v1_files_post + CompactResponseRequest: + properties: + model: + type: string + title: Model + description: The model to use for generating the compacted summary. + input: + anyOf: + - type: string + - items: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseMessage-Input | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) + type: array + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + - type: 'null' + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + description: Input message(s) to compact. + instructions: + anyOf: + - type: string + - type: 'null' + description: Instructions to guide the compaction. + previous_response_id: + anyOf: + - type: string + - type: 'null' + description: ID of a previous response whose history to compact. + prompt_cache_key: + anyOf: + - type: string + maxLength: 64 + - type: 'null' + description: A key to use when reading from or writing to the prompt cache. + additionalProperties: false + required: + - model + title: CompactResponseRequest + description: Request model for compacting a conversation. Connector: properties: connector_type: @@ -11447,6 +11492,24 @@ components: - mcp title: ConnectorType description: Type of connector. + ContextManagement: + properties: + type: + type: string + title: Type + description: The context management entry type. Currently only 'compaction' is supported. + enum: + - compaction + compact_threshold: + anyOf: + - type: integer + - type: 'null' + description: Token threshold at which compaction should be triggered. + additionalProperties: false + required: + - type + title: ContextManagement + description: Configuration for automatic context management during response generation. ConversationItemInclude: type: string enum: @@ -11496,10 +11559,12 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction type: array - title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse] - title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse] + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] description: Input message(s) to create the response. model: type: string @@ -11734,6 +11799,13 @@ components: - type: 'null' description: Options that control streamed response behavior. title: ResponseStreamOptions + context_management: + anyOf: + - items: + $ref: '#/components/schemas/ContextManagement' + type: array + - type: 'null' + description: Context management configuration. When set with type 'compaction', automatically compacts conversation history when token count exceeds the compact_threshold. additionalProperties: true required: - input @@ -11954,6 +12026,7 @@ components: required: - cached_tokens title: InputTokensDetails + description: A detailed breakdown of the input tokens. JobStatus: type: string enum: @@ -12200,6 +12273,51 @@ components: default: 0 title: OpenAIChatCompletionUsagePromptTokensDetails description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAICompactedResponse: + properties: + id: + type: string + title: Id + created_at: + type: integer + title: Created At + object: + type: string + title: Object + enum: + - response.compaction + output: + items: + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' + type: array + title: Output + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + required: + - id + - created_at + - output + - usage + title: OpenAICompactedResponse + description: Response from compacting a conversation. + OpenAIResponseCompaction: + properties: + type: + type: string + title: Type + enum: + - compaction + encrypted_content: + type: string + title: Encrypted Content + id: + anyOf: + - type: string + - type: 'null' + required: + - encrypted_content + title: OpenAIResponseCompaction + description: A compaction item that summarizes prior conversation context. OpenAIResponseIncompleteDetails: properties: reason: @@ -12807,6 +12925,7 @@ components: required: - reasoning_tokens title: OutputTokensDetails + description: A detailed breakdown of the output tokens. ProcessFileResponse: properties: chunks: @@ -14783,6 +14902,43 @@ components: required: - prompt_id title: DeletePromptRequest + OpenAIResponseMessageOutputUnion: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + title: OpenAIResponseMessage-Output + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + x-stainless-naming: OpenAIResponseMessageOutputOneOf + title: OpenAIResponseMessage-Output | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction + x-stainless-naming: OpenAIResponseMessageOutputUnion ChatCompletionMessageToolCall: properties: id: diff --git a/docs/docs/api-openai/conformance.mdx b/docs/docs/api-openai/conformance.mdx index e1f719d4b3..24abb84115 100644 --- a/docs/docs/api-openai/conformance.mdx +++ b/docs/docs/api-openai/conformance.mdx @@ -18,20 +18,20 @@ This documentation is auto-generated from the OpenAI API specification compariso | Metric | Value | |--------|-------| -| **Overall Conformance Score** | 87.8% | -| **Endpoints Implemented** | 28/146 | +| **Overall Conformance Score** | 87.6% | +| **Endpoints Implemented** | 29/146 | | **Total Properties Checked** | 3441 | -| **Schema/Type Issues** | 288 | -| **Missing Properties** | 131 | -| **Total Issues to Fix** | 419 | +| **Schema/Type Issues** | 295 | +| **Missing Properties** | 132 | +| **Total Issues to Fix** | 427 | ## Integration Test Coverage -**Overall Test Coverage Score: 44.1%** +**Overall Test Coverage Score: 43.8%** | Category | Covered | Total | Score | |----------|---------|-------|-------| -| CRUD Operations | 5 | 6 | 83.3% | +| CRUD Operations | 5 | 7 | 71.4% | | Conversations | 5 | 9 | 55.6% | | Request Parameters | 21 | 25 | 84.0% | | Streaming Events | 16 | 53 | 30.2% | @@ -51,7 +51,7 @@ Categories are sorted by conformance score (lowest first, needing most attention | Embeddings | 64.3% | 14 | 5 | 0 | | Files | 66.7% | 42 | 8 | 6 | | Models | 66.7% | 15 | 0 | 5 | -| Responses | 86.7% | 225 | 29 | 1 | +| Responses | 83.1% | 225 | 36 | 2 | | Chat | 87.1% | 403 | 33 | 19 | | Conversations | 98.8% | 2165 | 22 | 4 | @@ -175,7 +175,6 @@ The following OpenAI API endpoints are not yet implemented in Llama Stack: ### /responses -- `/responses/compact` - `/responses/input_tokens` ### /skills @@ -964,7 +963,7 @@ Below is a detailed breakdown of conformance issues and missing properties for e ### Responses -**Score:** 86.7% · **Issues:** 29 · **Missing:** 1 +**Score:** 83.1% · **Issues:** 36 · **Missing:** 2 #### `/responses` @@ -1014,6 +1013,32 @@ Below is a detailed breakdown of conformance issues and missing properties for e +#### `/responses/compact` + +**POST** + +
+Missing Properties (1) + +- `requestBody.content.application/x-www-form-urlencoded` + +
+ +
+Schema Issues (7) + +| Property | Issues | Tested | +|----------|--------|--------| +| `requestBody.content.application/json.properties.input` | Union variants added: 2; Union variants removed: 1 | Yes | +| `requestBody.content.application/json.properties.model` | Type added: ['string']; Union variants removed: 3 | Yes | +| `responses.200.content.application/json.properties.object` | Default changed: response.compaction -> None | No | +| `responses.200.content.application/json.properties.output.items` | Union variants added: 4 | Yes | +| `responses.200.content.application/json.properties.usage` | Type removed: ['object'] | Yes | +| `responses.200.content.application/json.properties.usage.properties.input_tokens_details` | Type removed: ['object'] | No | +| `responses.200.content.application/json.properties.usage.properties.output_tokens_details` | Type removed: ['object'] | No | + +
+ ### Chat **Score:** 87.1% · **Issues:** 33 · **Missing:** 19 diff --git a/docs/docs/api-openai/provider_matrix.md b/docs/docs/api-openai/provider_matrix.md index 02240a1904..335e9fd0bb 100644 --- a/docs/docs/api-openai/provider_matrix.md +++ b/docs/docs/api-openai/provider_matrix.md @@ -19,11 +19,11 @@ inference provider, based on integration test results. | Provider | Tested | Passing | Failing | Coverage | |----------|--------|---------|---------|----------| -| azure | 102 | 102 | 0 | 86% | -| bedrock | 25 | 25 | 0 | 21% | -| openai | 119 | 119 | 0 | 100% | +| azure | 113 | 113 | 0 | 87% | +| bedrock | 25 | 25 | 0 | 19% | +| openai | 130 | 130 | 0 | 100% | | vllm | 1 | 1 | 0 | 1% | -| watsonx | 56 | 56 | 0 | 47% | +| watsonx | 56 | 56 | 0 | 43% | ## Provider Details @@ -31,7 +31,7 @@ Models, endpoints, and versions used during test recordings. | Provider | Model(s) | Endpoint | Version Info | |----------|----------|----------|--------------| -| azure | gpt-4o | llama-stack-test.openai.azure.com, lls-test.openai.azure.com | openai sdk: 2.5.0 | +| azure | gpt-4o | llama-stack-test.openai.azure.com, lls-test.openai.azure.com | openai sdk: 2.30.0 | | bedrock | openai.gpt-oss-20b | bedrock-mantle.us-east-2.api.aws | openai sdk: 2.5.0 | | openai | gpt-4o, o4-mini, text-embedding-3-small | api.openai.com | openai sdk: 2.5.0 | | vllm | Qwen/Qwen3-0.6B | — | — | @@ -53,6 +53,22 @@ Models, endpoints, and versions used during test recordings. | streaming basic | ✅ | ✅ | ✅ | — | ✅ | | streaming incremental content | ✅ | ✅ | ✅ | — | ✅ | +## Compact Responses + +| Feature | azure | bedrock | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | +| compact basic conversation | ✅ | — | ✅ | — | — | +| compact chain through compaction | ✅ | — | ✅ | — | — | +| compact double compaction | ✅ | — | ✅ | — | — | +| compact input items hides compaction | ✅ | — | ✅ | — | — | +| compact roundtrip | ✅ | — | ✅ | — | — | +| compact single message | ✅ | — | ✅ | — | — | +| compact with previous response id | ✅ | — | ✅ | — | — | +| compact with tool calls dropped | ✅ | — | ✅ | — | — | +| context management auto compacts large input | ✅ | — | ✅ | — | — | +| context management no compact below threshold | ✅ | — | ✅ | — | — | +| context management none does not compact | ✅ | — | ✅ | — | — | + ## Conversation Responses | Feature | azure | bedrock | openai | vllm | watsonx | diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index f1ae56a67c..ab24f9e2c5 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -3603,9 +3603,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage' title: OpenAIResponseMessage - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) OpenAIResponseInputToolFileSearch: properties: type: @@ -3910,40 +3912,7 @@ components: title: Store input: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Input required: @@ -5565,40 +5534,7 @@ components: properties: data: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Data object: @@ -7990,6 +7926,7 @@ components: - failed - total title: BatchRequestCounts + description: The request counts for different statuses within the batch. BatchUsage: properties: input_tokens: @@ -8013,6 +7950,10 @@ components: - output_tokens_details - total_tokens title: BatchUsage + description: |- + Represents token usage details including input tokens, output tokens, a + breakdown of output tokens, and the total tokens used. Only populated on + batches created after September 7, 2025. Body_process_file_v1alpha_file_processors_process_post: properties: file: @@ -8059,6 +8000,78 @@ components: - file - purpose title: Body_upload_file_v1_files_post + CompactResponseRequest: + properties: + model: + type: string + title: Model + description: The model to use for generating the compacted summary. + input: + anyOf: + - type: string + - items: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseMessage-Input | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) + type: array + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + - type: 'null' + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + description: Input message(s) to compact. + instructions: + anyOf: + - type: string + - type: 'null' + description: Instructions to guide the compaction. + previous_response_id: + anyOf: + - type: string + - type: 'null' + description: ID of a previous response whose history to compact. + prompt_cache_key: + anyOf: + - type: string + maxLength: 64 + - type: 'null' + description: A key to use when reading from or writing to the prompt cache. + additionalProperties: false + required: + - model + title: CompactResponseRequest + description: Request model for compacting a conversation. Connector: properties: connector_type: @@ -8103,6 +8116,24 @@ components: - mcp title: ConnectorType description: Type of connector. + ContextManagement: + properties: + type: + type: string + title: Type + description: The context management entry type. Currently only 'compaction' is supported. + enum: + - compaction + compact_threshold: + anyOf: + - type: integer + - type: 'null' + description: Token threshold at which compaction should be triggered. + additionalProperties: false + required: + - type + title: ContextManagement + description: Configuration for automatic context management during response generation. ConversationItemInclude: type: string enum: @@ -8152,9 +8183,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage-Input' title: OpenAIResponseMessage-Input - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) type: array title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] @@ -8392,6 +8425,13 @@ components: - type: 'null' description: Options that control streamed response behavior. title: ResponseStreamOptions + context_management: + anyOf: + - items: + $ref: '#/components/schemas/ContextManagement' + type: array + - type: 'null' + description: Context management configuration. When set with type 'compaction', automatically compacts conversation history when token count exceeds the compact_threshold. additionalProperties: true required: - input @@ -8612,6 +8652,7 @@ components: required: - cached_tokens title: InputTokensDetails + description: A detailed breakdown of the input tokens. JobStatus: type: string enum: @@ -8858,6 +8899,51 @@ components: default: 0 title: OpenAIChatCompletionUsagePromptTokensDetails description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAICompactedResponse: + properties: + id: + type: string + title: Id + created_at: + type: integer + title: Created At + object: + type: string + title: Object + enum: + - response.compaction + output: + items: + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' + type: array + title: Output + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + required: + - id + - created_at + - output + - usage + title: OpenAICompactedResponse + description: Response from compacting a conversation. + OpenAIResponseCompaction: + properties: + type: + type: string + title: Type + enum: + - compaction + encrypted_content: + type: string + title: Encrypted Content + id: + anyOf: + - type: string + - type: 'null' + required: + - encrypted_content + title: OpenAIResponseCompaction + description: A compaction item that summarizes prior conversation context. OpenAIResponseIncompleteDetails: properties: reason: @@ -9465,6 +9551,7 @@ components: required: - reasoning_tokens title: OutputTokensDetails + description: A detailed breakdown of the output tokens. ProcessFileResponse: properties: chunks: @@ -11441,6 +11528,43 @@ components: required: - prompt_id title: DeletePromptRequest + OpenAIResponseMessageOutputUnion: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + title: OpenAIResponseMessage-Output + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + x-stainless-naming: OpenAIResponseMessageOutputOneOf + title: OpenAIResponseMessage-Output | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction + x-stainless-naming: OpenAIResponseMessageOutputUnion ChatCompletionMessageToolCall: properties: id: diff --git a/docs/static/experimental-llama-stack-spec.yaml b/docs/static/experimental-llama-stack-spec.yaml index 75594ef438..2053bb1e9c 100644 --- a/docs/static/experimental-llama-stack-spec.yaml +++ b/docs/static/experimental-llama-stack-spec.yaml @@ -3794,9 +3794,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage' title: OpenAIResponseMessage - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) OpenAIResponseInputToolFileSearch: properties: type: @@ -4101,40 +4103,7 @@ components: title: Store input: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Input required: @@ -5746,40 +5715,7 @@ components: properties: data: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Data object: @@ -8171,6 +8107,7 @@ components: - failed - total title: BatchRequestCounts + description: The request counts for different statuses within the batch. BatchUsage: properties: input_tokens: @@ -8194,6 +8131,10 @@ components: - output_tokens_details - total_tokens title: BatchUsage + description: |- + Represents token usage details including input tokens, output tokens, a + breakdown of output tokens, and the total tokens used. Only populated on + batches created after September 7, 2025. Body_process_file_v1alpha_file_processors_process_post: properties: file: @@ -8489,6 +8430,7 @@ components: required: - cached_tokens title: InputTokensDetails + description: A detailed breakdown of the input tokens. JobStatus: type: string enum: @@ -8735,6 +8677,51 @@ components: default: 0 title: OpenAIChatCompletionUsagePromptTokensDetails description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAICompactedResponse: + properties: + id: + type: string + title: Id + created_at: + type: integer + title: Created At + object: + type: string + title: Object + enum: + - response.compaction + output: + items: + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' + type: array + title: Output + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + required: + - id + - created_at + - output + - usage + title: OpenAICompactedResponse + description: Response from compacting a conversation. + OpenAIResponseCompaction: + properties: + type: + type: string + title: Type + enum: + - compaction + encrypted_content: + type: string + title: Encrypted Content + id: + anyOf: + - type: string + - type: 'null' + required: + - encrypted_content + title: OpenAIResponseCompaction + description: A compaction item that summarizes prior conversation context. OpenAIResponseIncompleteDetails: properties: reason: @@ -9342,6 +9329,7 @@ components: required: - reasoning_tokens title: OutputTokensDetails + description: A detailed breakdown of the output tokens. ProcessFileResponse: properties: chunks: @@ -11289,6 +11277,43 @@ components: required: - prompt_id title: DeletePromptRequest + OpenAIResponseMessageOutputUnion: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + title: OpenAIResponseMessage-Output + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + x-stainless-naming: OpenAIResponseMessageOutputOneOf + title: OpenAIResponseMessage-Output | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction + x-stainless-naming: OpenAIResponseMessageOutputUnion ChatCompletionMessageToolCall: properties: id: diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index a66d107695..c5a87b5900 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -2818,6 +2818,38 @@ paths: description: Get the version of the service. operationId: version_v1_version_get x-public: true + /v1/responses/compact: + post: + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompactedResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + tags: + - Responses + summary: Compact a conversation. + description: Compresses conversation history into a smaller representation while preserving context. + operationId: compact_openai_response_v1_responses_compact_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CompactResponseRequest' + required: true /v1/responses/{response_id}/cancel: post: responses: @@ -5832,9 +5864,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage' title: OpenAIResponseMessage - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) OpenAIResponseInputToolFileSearch: properties: type: @@ -6139,40 +6173,7 @@ components: title: Store input: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Input required: @@ -7794,40 +7795,7 @@ components: properties: data: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Data object: @@ -10219,6 +10187,7 @@ components: - failed - total title: BatchRequestCounts + description: The request counts for different statuses within the batch. BatchUsage: properties: input_tokens: @@ -10242,6 +10211,10 @@ components: - output_tokens_details - total_tokens title: BatchUsage + description: |- + Represents token usage details including input tokens, output tokens, a + breakdown of output tokens, and the total tokens used. Only populated on + batches created after September 7, 2025. Body_upload_file_v1_files_post: properties: file: @@ -10263,6 +10236,78 @@ components: - file - purpose title: Body_upload_file_v1_files_post + CompactResponseRequest: + properties: + model: + type: string + title: Model + description: The model to use for generating the compacted summary. + input: + anyOf: + - type: string + - items: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseMessage-Input | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) + type: array + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + - type: 'null' + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + description: Input message(s) to compact. + instructions: + anyOf: + - type: string + - type: 'null' + description: Instructions to guide the compaction. + previous_response_id: + anyOf: + - type: string + - type: 'null' + description: ID of a previous response whose history to compact. + prompt_cache_key: + anyOf: + - type: string + maxLength: 64 + - type: 'null' + description: A key to use when reading from or writing to the prompt cache. + additionalProperties: false + required: + - model + title: CompactResponseRequest + description: Request model for compacting a conversation. Connector: properties: connector_type: @@ -10307,6 +10352,24 @@ components: - mcp title: ConnectorType description: Type of connector. + ContextManagement: + properties: + type: + type: string + title: Type + description: The context management entry type. Currently only 'compaction' is supported. + enum: + - compaction + compact_threshold: + anyOf: + - type: integer + - type: 'null' + description: Token threshold at which compaction should be triggered. + additionalProperties: false + required: + - type + title: ContextManagement + description: Configuration for automatic context management during response generation. ConversationItemInclude: type: string enum: @@ -10356,9 +10419,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage-Input' title: OpenAIResponseMessage-Input - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) type: array title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] @@ -10596,6 +10661,13 @@ components: - type: 'null' description: Options that control streamed response behavior. title: ResponseStreamOptions + context_management: + anyOf: + - items: + $ref: '#/components/schemas/ContextManagement' + type: array + - type: 'null' + description: Context management configuration. When set with type 'compaction', automatically compacts conversation history when token count exceeds the compact_threshold. additionalProperties: true required: - input @@ -10816,6 +10888,7 @@ components: required: - cached_tokens title: InputTokensDetails + description: A detailed breakdown of the input tokens. JobStatus: type: string enum: @@ -11062,6 +11135,51 @@ components: default: 0 title: OpenAIChatCompletionUsagePromptTokensDetails description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAICompactedResponse: + properties: + id: + type: string + title: Id + created_at: + type: integer + title: Created At + object: + type: string + title: Object + enum: + - response.compaction + output: + items: + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' + type: array + title: Output + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + required: + - id + - created_at + - output + - usage + title: OpenAICompactedResponse + description: Response from compacting a conversation. + OpenAIResponseCompaction: + properties: + type: + type: string + title: Type + enum: + - compaction + encrypted_content: + type: string + title: Encrypted Content + id: + anyOf: + - type: string + - type: 'null' + required: + - encrypted_content + title: OpenAIResponseCompaction + description: A compaction item that summarizes prior conversation context. OpenAIResponseIncompleteDetails: properties: reason: @@ -11669,6 +11787,7 @@ components: required: - reasoning_tokens title: OutputTokensDetails + description: A detailed breakdown of the output tokens. ProcessFileResponse: properties: chunks: @@ -13645,6 +13764,43 @@ components: required: - prompt_id title: DeletePromptRequest + OpenAIResponseMessageOutputUnion: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + title: OpenAIResponseMessage-Output + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + x-stainless-naming: OpenAIResponseMessageOutputOneOf + title: OpenAIResponseMessage-Output | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction + x-stainless-naming: OpenAIResponseMessageOutputUnion ChatCompletionMessageToolCall: properties: id: diff --git a/docs/static/openai-coverage.json b/docs/static/openai-coverage.json index 1e5c133f09..bf8471f892 100644 --- a/docs/static/openai-coverage.json +++ b/docs/static/openai-coverage.json @@ -4,7 +4,7 @@ "llama_spec": "docs/static/llama-stack-spec.yaml", "summary": { "endpoints": { - "implemented": 28, + "implemented": 29, "total": 146, "missing": [ "/assistants", @@ -94,7 +94,6 @@ "/realtime/client_secrets", "/realtime/sessions", "/realtime/transcription_sessions", - "/responses/compact", "/responses/input_tokens", "/skills", "/skills/{skill_id}", @@ -128,10 +127,10 @@ ] }, "conformance": { - "score": 87.8, - "issues": 288, - "missing_properties": 131, - "total_problems": 419, + "score": 87.6, + "issues": 295, + "missing_properties": 132, + "total_problems": 427, "total_properties": 3441 } }, @@ -1709,9 +1708,9 @@ ] }, "Responses": { - "score": 86.7, - "issues": 29, - "missing_properties": 1, + "score": 83.1, + "issues": 36, + "missing_properties": 2, "total_properties": 225, "endpoints": [ { @@ -1939,6 +1938,65 @@ "issues_count": 29 } ] + }, + { + "path": "/responses/compact", + "operations": [ + { + "method": "POST", + "missing_properties": [ + "POST.requestBody.content.application/x-www-form-urlencoded" + ], + "conformance_issues": [ + { + "property": "POST.requestBody.content.application/json.properties.input", + "details": [ + "Union variants added: 2", + "Union variants removed: 1" + ] + }, + { + "property": "POST.requestBody.content.application/json.properties.model", + "details": [ + "Type added: ['string']", + "Union variants removed: 3" + ] + }, + { + "property": "POST.responses.200.content.application/json.properties.object", + "details": [ + "Default changed: response.compaction -> None" + ] + }, + { + "property": "POST.responses.200.content.application/json.properties.output.items", + "details": [ + "Union variants added: 4" + ] + }, + { + "property": "POST.responses.200.content.application/json.properties.usage", + "details": [ + "Type removed: ['object']" + ] + }, + { + "property": "POST.responses.200.content.application/json.properties.usage.properties.input_tokens_details", + "details": [ + "Type removed: ['object']" + ] + }, + { + "property": "POST.responses.200.content.application/json.properties.usage.properties.output_tokens_details", + "details": [ + "Type removed: ['object']" + ] + } + ], + "missing_count": 1, + "issues_count": 7 + } + ] } ] }, diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 495df0e0c5..b2c8955800 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -3733,6 +3733,38 @@ paths: summary: Get service version description: Get the version of the service. operationId: version_v1alpha_admin_version_get + /v1/responses/compact: + post: + responses: + '200': + description: Successful Response + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompactedResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + tags: + - Responses + summary: Compact a conversation. + description: Compresses conversation history into a smaller representation while preserving context. + operationId: compact_openai_response_v1_responses_compact_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/CompactResponseRequest' + required: true /v1/responses/{response_id}/cancel: post: responses: @@ -6947,9 +6979,11 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction - $ref: '#/components/schemas/OpenAIResponseMessage' title: OpenAIResponseMessage - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) OpenAIResponseInputToolFileSearch: properties: type: @@ -7254,40 +7288,7 @@ components: title: Store input: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Input required: @@ -8909,40 +8910,7 @@ components: properties: data: items: - anyOf: - - oneOf: - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseOutputMessageWebSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - title: OpenAIResponseOutputMessageFileSearchToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - title: OpenAIResponseOutputMessageFunctionToolCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - title: OpenAIResponseOutputMessageMCPCall - - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - title: OpenAIResponseOutputMessageMCPListTools - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - title: OpenAIResponseMCPApprovalRequest - discriminator: - propertyName: type - mapping: - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - message: '#/components/schemas/OpenAIResponseMessage-Output' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - title: OpenAIResponseInputFunctionToolCallOutput - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - title: OpenAIResponseMCPApprovalResponse - - $ref: '#/components/schemas/OpenAIResponseMessage-Output' - title: OpenAIResponseMessage-Output - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseMessage-Output + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' type: array title: Data object: @@ -11334,6 +11302,7 @@ components: - failed - total title: BatchRequestCounts + description: The request counts for different statuses within the batch. BatchUsage: properties: input_tokens: @@ -11357,6 +11326,10 @@ components: - output_tokens_details - total_tokens title: BatchUsage + description: |- + Represents token usage details including input tokens, output tokens, a + breakdown of output tokens, and the total tokens used. Only populated on + batches created after September 7, 2025. Body_process_file_v1alpha_file_processors_process_post: properties: file: @@ -11403,6 +11376,78 @@ components: - file - purpose title: Body_upload_file_v1_files_post + CompactResponseRequest: + properties: + model: + type: string + title: Model + description: The model to use for generating the compacted summary. + input: + anyOf: + - type: string + - items: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseMessage-Input | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + title: OpenAIResponseMessage-Input + title: OpenAIResponseInputFunctionToolCallOutput | ... (4 variants) + type: array + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + - type: 'null' + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + description: Input message(s) to compact. + instructions: + anyOf: + - type: string + - type: 'null' + description: Instructions to guide the compaction. + previous_response_id: + anyOf: + - type: string + - type: 'null' + description: ID of a previous response whose history to compact. + prompt_cache_key: + anyOf: + - type: string + maxLength: 64 + - type: 'null' + description: A key to use when reading from or writing to the prompt cache. + additionalProperties: false + required: + - model + title: CompactResponseRequest + description: Request model for compacting a conversation. Connector: properties: connector_type: @@ -11447,6 +11492,24 @@ components: - mcp title: ConnectorType description: Type of connector. + ContextManagement: + properties: + type: + type: string + title: Type + description: The context management entry type. Currently only 'compaction' is supported. + enum: + - compaction + compact_threshold: + anyOf: + - type: integer + - type: 'null' + description: Token threshold at which compaction should be triggered. + additionalProperties: false + required: + - type + title: ContextManagement + description: Configuration for automatic context management during response generation. ConversationItemInclude: type: string enum: @@ -11496,10 +11559,12 @@ components: title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' title: OpenAIResponseMCPApprovalResponse - title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction type: array - title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse] - title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse] + title: list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] + title: string | list[OpenAIResponseMessageUnion | OpenAIResponseInputFunctionToolCallOutput | ...] description: Input message(s) to create the response. model: type: string @@ -11734,6 +11799,13 @@ components: - type: 'null' description: Options that control streamed response behavior. title: ResponseStreamOptions + context_management: + anyOf: + - items: + $ref: '#/components/schemas/ContextManagement' + type: array + - type: 'null' + description: Context management configuration. When set with type 'compaction', automatically compacts conversation history when token count exceeds the compact_threshold. additionalProperties: true required: - input @@ -11954,6 +12026,7 @@ components: required: - cached_tokens title: InputTokensDetails + description: A detailed breakdown of the input tokens. JobStatus: type: string enum: @@ -12200,6 +12273,51 @@ components: default: 0 title: OpenAIChatCompletionUsagePromptTokensDetails description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAICompactedResponse: + properties: + id: + type: string + title: Id + created_at: + type: integer + title: Created At + object: + type: string + title: Object + enum: + - response.compaction + output: + items: + $ref: '#/components/schemas/OpenAIResponseMessageOutputUnion' + type: array + title: Output + usage: + $ref: '#/components/schemas/OpenAIResponseUsage' + required: + - id + - created_at + - output + - usage + title: OpenAICompactedResponse + description: Response from compacting a conversation. + OpenAIResponseCompaction: + properties: + type: + type: string + title: Type + enum: + - compaction + encrypted_content: + type: string + title: Encrypted Content + id: + anyOf: + - type: string + - type: 'null' + required: + - encrypted_content + title: OpenAIResponseCompaction + description: A compaction item that summarizes prior conversation context. OpenAIResponseIncompleteDetails: properties: reason: @@ -12807,6 +12925,7 @@ components: required: - reasoning_tokens title: OutputTokensDetails + description: A detailed breakdown of the output tokens. ProcessFileResponse: properties: chunks: @@ -14783,6 +14902,43 @@ components: required: - prompt_id title: DeletePromptRequest + OpenAIResponseMessageOutputUnion: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + title: OpenAIResponseMessage-Output + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + title: OpenAIResponseOutputMessageWebSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + title: OpenAIResponseOutputMessageFileSearchToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + title: OpenAIResponseOutputMessageFunctionToolCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + title: OpenAIResponseOutputMessageMCPCall + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + title: OpenAIResponseOutputMessageMCPListTools + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: OpenAIResponseMCPApprovalRequest + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + x-stainless-naming: OpenAIResponseMessageOutputOneOf + title: OpenAIResponseMessage-Output | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + title: OpenAIResponseInputFunctionToolCallOutput + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + title: OpenAIResponseMCPApprovalResponse + - $ref: '#/components/schemas/OpenAIResponseCompaction' + title: OpenAIResponseCompaction + title: OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse | OpenAIResponseCompaction + x-stainless-naming: OpenAIResponseMessageOutputUnion ChatCompletionMessageToolCall: properties: id: diff --git a/pyproject.toml b/pyproject.toml index 0dc69b8c2e..0a0fd9ab61 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,7 @@ dependencies = [ "jinja2>=3.1.6", "jsonschema", "llama-stack-api", # API and provider specifications (local dev via tool.uv.sources) - "openai>=2.5.0", + "openai>=2.30.0", "prompt-toolkit", "python-dotenv", "pyjwt[crypto]>=2.12.0", # Pull crypto to support RS256 for jwt. Requires 2.12.0+ to fix CVE-2026-32597. diff --git a/scripts/openapi_generator/_schema_output.py b/scripts/openapi_generator/_schema_output.py index a58efe56cf..10a509ad85 100644 --- a/scripts/openapi_generator/_schema_output.py +++ b/scripts/openapi_generator/_schema_output.py @@ -244,9 +244,9 @@ def _extract_duplicate_union_types(openapi_schema: dict[str, Any]) -> dict[str, output_union_schema_name = "OpenAIResponseMessageOutputUnion" output_union_title = None - # Get the union type from OpenAIResponseObjectWithInput-Output.input.items.anyOf - if "OpenAIResponseObjectWithInput-Output" in schemas: - schema = schemas["OpenAIResponseObjectWithInput-Output"] + # Get the union type from OpenAIResponseObjectWithInput.input.items.anyOf + if "OpenAIResponseObjectWithInput" in schemas: + schema = schemas["OpenAIResponseObjectWithInput"] if isinstance(schema, dict) and "properties" in schema: input_prop = schema["properties"].get("input") if isinstance(input_prop, dict) and "items" in input_prop: @@ -298,6 +298,17 @@ def _extract_duplicate_union_types(openapi_schema: dict[str, Any]) -> dict[str, # Replace with reference data_prop["items"] = {"$ref": f"#/components/schemas/{output_union_schema_name}"} + # Replace the same union in OpenAICompactedResponse.output.items.anyOf + if "OpenAICompactedResponse" in schemas and output_union_schema_name in schemas: + schema = schemas["OpenAICompactedResponse"] + if isinstance(schema, dict) and "properties" in schema: + output_prop = schema["properties"].get("output") + if isinstance(output_prop, dict) and "items" in output_prop: + items = output_prop["items"] + if isinstance(items, dict) and "anyOf" in items: + # Replace with reference + output_prop["items"] = {"$ref": f"#/components/schemas/{output_union_schema_name}"} + # Extract the Input union type (used in _responses_Request.input.anyOf[1].items.anyOf) input_union_schema_name = "OpenAIResponseMessageInputUnion" diff --git a/scripts/openapi_generator/stainless_config/generate_config.py b/scripts/openapi_generator/stainless_config/generate_config.py index ee1128fc1c..0caddfc62f 100644 --- a/scripts/openapi_generator/stainless_config/generate_config.py +++ b/scripts/openapi_generator/stainless_config/generate_config.py @@ -225,6 +225,10 @@ "models": { "response_object_stream": "OpenAIResponseObjectStream", "response_object": "OpenAIResponseObject", + "compacted_response": "OpenAICompactedResponse", + "response_input": "OpenAIResponseInput", + "response_message": "OpenAIResponseMessage", + "response_output": "OpenAIResponseOutput", }, "methods": { "create": { @@ -241,6 +245,10 @@ "type": "http", "endpoint": "delete /v1/responses/{response_id}", }, + "compact": { + "type": "http", + "endpoint": "post /v1/responses/compact", + }, }, "subresources": { "input_items": { diff --git a/src/llama_stack/providers/inline/responses/builtin/impl.py b/src/llama_stack/providers/inline/responses/builtin/impl.py index b218ec9fec..28004a6bfe 100644 --- a/src/llama_stack/providers/inline/responses/builtin/impl.py +++ b/src/llama_stack/providers/inline/responses/builtin/impl.py @@ -15,6 +15,7 @@ from llama_stack.telemetry.constants import RESPONSES_PARAMETER_USAGE_TOTAL from llama_stack_api import ( CancelResponseRequest, + CompactResponseRequest, Connectors, Conversations, CreateResponseRequest, @@ -25,6 +26,7 @@ ListOpenAIResponseObject, ListResponseInputItemsRequest, ListResponsesRequest, + OpenAICompactedResponse, OpenAIDeleteResponseObject, OpenAIResponseObject, OpenAIResponseObjectStream, @@ -167,6 +169,7 @@ async def create_openai_response( presence_penalty=request.presence_penalty, extra_body=request.model_extra, stream_options=request.stream_options, + context_management=request.context_management, ) return result @@ -193,6 +196,19 @@ async def list_openai_response_input_items( request.order, ) + async def compact_openai_response( + self, + request: CompactResponseRequest, + ) -> OpenAICompactedResponse: + assert self.openai_responses_impl is not None, "OpenAI responses not initialized" + return await self.openai_responses_impl.compact_openai_response( + model=request.model, + input=request.input, + instructions=request.instructions, + previous_response_id=request.previous_response_id, + prompt_cache_key=request.prompt_cache_key, + ) + async def delete_openai_response( self, request: DeleteResponseRequest, diff --git a/src/llama_stack/providers/inline/responses/builtin/responses/openai_responses.py b/src/llama_stack/providers/inline/responses/builtin/responses/openai_responses.py index be93f04cec..ca2eeea8b1 100644 --- a/src/llama_stack/providers/inline/responses/builtin/responses/openai_responses.py +++ b/src/llama_stack/providers/inline/responses/builtin/responses/openai_responses.py @@ -41,8 +41,10 @@ ListOpenAIResponseInputItem, ListOpenAIResponseObject, OpenAIChatCompletionContentPartParam, + OpenAICompactedResponse, OpenAIDeleteResponseObject, OpenAIMessageParam, + OpenAIResponseCompaction, OpenAIResponseError, OpenAIResponseInput, OpenAIResponseInputMessageContentFile, @@ -57,6 +59,9 @@ OpenAIResponseReasoning, OpenAIResponseText, OpenAIResponseTextFormat, + OpenAIResponseUsage, + OpenAIResponseUsageInputTokensDetails, + OpenAIResponseUsageOutputTokensDetails, OpenAISystemMessageParam, OpenAIUserMessageParam, Order, @@ -71,7 +76,7 @@ ToolRuntime, VectorIO, ) -from llama_stack_api.inference import ServiceTier +from llama_stack_api.inference import OpenAIChatCompletionRequestWithExtraBody, ServiceTier from .streaming import StreamingResponseOrchestrator from .tool_executor import ToolExecutor @@ -632,6 +637,7 @@ async def create_openai_response( presence_penalty: float | None = None, extra_body: dict | None = None, stream_options: ResponseStreamOptions | None = None, + context_management: list | None = None, ): stream = bool(stream) background = bool(background) @@ -685,6 +691,10 @@ async def create_openai_response( if max_tool_calls is not None and max_tool_calls < 1: raise ValueError(f"Invalid {max_tool_calls=}; should be >= 1") + # Auto-compact if context_management is configured + if context_management: + input = await self._maybe_auto_compact(input, model, context_management) + # Handle background mode if background: return await self._create_background_response( @@ -1183,6 +1193,152 @@ async def _create_streaming_response( async def delete_openai_response(self, response_id: str) -> OpenAIDeleteResponseObject: return await self.responses_store.delete_response_object(response_id) + async def compact_openai_response( + self, + model: str, + input: str | list[OpenAIResponseInput] | None = None, + instructions: str | None = None, + previous_response_id: str | None = None, + prompt_cache_key: str | None = None, + ) -> OpenAICompactedResponse: + # Resolve input from previous_response_id or direct input + if previous_response_id: + previous_response = await self.responses_store.get_response_object(previous_response_id) + if input is not None: + all_input = await self._prepend_previous_response(input, previous_response) + else: + all_input = list(previous_response.input) + list(previous_response.output) + elif input is not None: + if isinstance(input, str): + all_input = [OpenAIResponseMessage(content=input, role="user")] + else: + all_input = list(input) + else: + raise InvalidParameterError( + "input, previous_response_id", None, "Either 'input' or 'previous_response_id' must be provided." + ) + + # Convert to chat messages for the summarization call + messages = await convert_response_input_to_chat_messages(all_input, files_api=self.files_api) + + # Add summarization prompt + summarization_prompt = ( + "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary " + "of the conversation so far. Include:\n" + "- Current progress and key decisions made\n" + "- Important context, constraints, or user preferences\n" + "- What remains to be done (clear next steps)\n" + "- Any critical data, examples, or references needed to continue\n\n" + "Be concise, structured, and focused on helping seamlessly continue the work." + ) + if instructions: + summarization_prompt = f"{instructions}\n\n{summarization_prompt}" + + messages.append(OpenAIUserMessageParam(role="user", content=summarization_prompt)) + + # Call inference to generate the summary + params = OpenAIChatCompletionRequestWithExtraBody( + model=model, + messages=messages, + stream=False, + prompt_cache_key=prompt_cache_key, + ) + completion = await self.inference_api.openai_chat_completion(params) + + # Extract summary text from the completion + summary_text = "" + if hasattr(completion, "choices") and completion.choices: + choice = completion.choices[0] + if choice.message and choice.message.content: + summary_text = choice.message.content + + # Extract user messages from input (matching OpenAI behavior: all user messages verbatim) + output_items: list[OpenAIResponseInput] = [] + for item in all_input: + if isinstance(item, OpenAIResponseMessage) and item.role == "user": + output_items.append( + OpenAIResponseMessage( + id=f"msg_{uuid.uuid4().hex[:24]}", + type="message", + status="completed", + role="user", + content=item.content, + ) + ) + + # Add compaction item as last element + compaction_item = OpenAIResponseCompaction( + id=f"cmp_{uuid.uuid4().hex[:24]}", + encrypted_content=summary_text, + ) + output_items.append(compaction_item) + + # Build usage from completion + usage_data = OpenAIResponseUsage( + input_tokens=completion.usage.prompt_tokens if completion.usage else 0, + output_tokens=completion.usage.completion_tokens if completion.usage else 0, + total_tokens=completion.usage.total_tokens if completion.usage else 0, + input_tokens_details=OpenAIResponseUsageInputTokensDetails(cached_tokens=0), + output_tokens_details=OpenAIResponseUsageOutputTokensDetails(reasoning_tokens=0), + ) + + return OpenAICompactedResponse( + id=f"resp_{uuid.uuid4().hex[:24]}", + created_at=int(time.time()), + output=output_items, + usage=usage_data, + ) + + def _estimate_token_count(self, input: str | list[OpenAIResponseInput]) -> int: + """Estimate token count using a rough character-based heuristic (4 chars ≈ 1 token).""" + if isinstance(input, str): + return len(input) // 4 + + total_chars = 0 + for item in input: + if isinstance(item, OpenAIResponseMessage): + if isinstance(item.content, str): + total_chars += len(item.content) + elif isinstance(item.content, list): + for part in item.content: + if hasattr(part, "text"): + total_chars += len(part.text) + elif isinstance(item, OpenAIResponseCompaction): + total_chars += len(item.encrypted_content) + elif hasattr(item, "arguments"): + total_chars += len(getattr(item, "arguments", "")) + elif hasattr(item, "output"): + output = getattr(item, "output", "") + if isinstance(output, str): + total_chars += len(output) + return total_chars // 4 + + async def _maybe_auto_compact( + self, + input: str | list[OpenAIResponseInput], + model: str, + context_management: list, + ) -> str | list[OpenAIResponseInput]: + """Auto-compact input if token count exceeds compact_threshold.""" + for entry in context_management: + entry_type = entry.type if hasattr(entry, "type") else entry.get("type") + if entry_type != "compaction": + continue + + threshold = ( + entry.compact_threshold if hasattr(entry, "compact_threshold") else entry.get("compact_threshold") + ) + if threshold is None: + continue + + estimated_tokens = self._estimate_token_count(input) + if estimated_tokens > threshold: + logger.debug(f"Auto-compacting: estimated {estimated_tokens} tokens exceeds threshold {threshold}") + compacted = await self.compact_openai_response(model=model, input=input) + return list(compacted.output) + + return input + async def cancel_openai_response( self, response_id: str, diff --git a/src/llama_stack/providers/inline/responses/builtin/responses/utils.py b/src/llama_stack/providers/inline/responses/builtin/responses/utils.py index 12d9af0778..ef9589fd06 100644 --- a/src/llama_stack/providers/inline/responses/builtin/responses/utils.py +++ b/src/llama_stack/providers/inline/responses/builtin/responses/utils.py @@ -27,6 +27,7 @@ OpenAIJSONSchema, OpenAIMessageParam, OpenAIResponseAnnotationFileCitation, + OpenAIResponseCompaction, OpenAIResponseFormatJSONObject, OpenAIResponseFormatJSONSchema, OpenAIResponseFormatParam, @@ -350,6 +351,9 @@ async def convert_response_input_to_chat_messages( ): # these are handled by the responses impl itself and not pass through to chat completions pass + elif isinstance(input_item, OpenAIResponseCompaction): + # Convert compaction summary to an assistant message so the model sees prior context + messages.append(OpenAIAssistantMessageParam(content=input_item.encrypted_content)) elif isinstance(input_item, OpenAIResponseMessage): # Narrow type to OpenAIResponseMessage which has content and role attributes content = await convert_response_content_to_chat_content(input_item.content, files_api) diff --git a/src/llama_stack/providers/utils/responses/responses_store.py b/src/llama_stack/providers/utils/responses/responses_store.py index 764b705e65..98fb7b66e1 100644 --- a/src/llama_stack/providers/utils/responses/responses_store.py +++ b/src/llama_stack/providers/utils/responses/responses_store.py @@ -279,7 +279,12 @@ async def list_response_input_items( ) response_with_input_and_messages = await self.get_response_object(response_id) - items = response_with_input_and_messages.input + # Filter out compaction items (matching OpenAI behavior: input_items hides compaction) + items = [ + item + for item in response_with_input_and_messages.input + if not (hasattr(item, "type") and getattr(item, "type", None) == "compaction") + ] if order == Order.desc: items = list(reversed(items)) diff --git a/src/llama_stack_api/__init__.py b/src/llama_stack_api/__init__.py index 3566ebb0fd..ab35417ff5 100644 --- a/src/llama_stack_api/__init__.py +++ b/src/llama_stack_api/__init__.py @@ -54,6 +54,8 @@ from .responses import ( Responses, CancelResponseRequest, + CompactResponseRequest, + ContextManagement, CreateResponseRequest, DeleteResponseRequest, ListResponseInputItemsRequest, @@ -338,12 +340,14 @@ ListOpenAIResponseInputItem, ListOpenAIResponseObject, MCPListToolsTool, + OpenAICompactedResponse, OpenAIDeleteResponseObject, OpenAIResponseAnnotationCitation, OpenAIResponseAnnotationContainerFileCitation, OpenAIResponseAnnotationFileCitation, OpenAIResponseAnnotationFilePath, OpenAIResponseAnnotations, + OpenAIResponseCompaction, OpenAIResponseContentPart, OpenAIResponseContentPartOutputText, OpenAIResponseContentPartReasoningSummary, @@ -592,6 +596,8 @@ "AggregationFunctionType", # Responses Request Models "CancelResponseRequest", + "CompactResponseRequest", + "ContextManagement", "CreateResponseRequest", "DeleteResponseRequest", "ListResponseInputItemsRequest", @@ -825,6 +831,7 @@ "OpenAICompletionWithInputMessages", "OpenAICreateVectorStoreFileBatchRequestWithExtraBody", "OpenAICreateVectorStoreRequestWithExtraBody", + "OpenAICompactedResponse", "OpenAIDeleteResponseObject", "OpenAIDeveloperMessageParam", "OpenAIEmbeddingData", @@ -853,6 +860,7 @@ "OpenAIResponseAnnotationFileCitation", "OpenAIResponseAnnotationFilePath", "OpenAIResponseAnnotations", + "OpenAIResponseCompaction", "OpenAIResponseContentPart", "OpenAIResponseContentPartOutputText", "OpenAIResponseContentPartReasoningSummary", diff --git a/src/llama_stack_api/openai_responses.py b/src/llama_stack_api/openai_responses.py index c5ce42d940..265341a46d 100644 --- a/src/llama_stack_api/openai_responses.py +++ b/src/llama_stack_api/openai_responses.py @@ -1487,11 +1487,31 @@ class OpenAIResponseInputFunctionToolCallOutput(BaseModel): status: str | None = None +@json_schema_type +class OpenAIResponseCompaction(BaseModel): + """A compaction item that summarizes prior conversation context. + + :param type: Always "compaction" + :param encrypted_content: Compacted summary of prior conversation (plaintext in Llama Stack) + :param id: Unique identifier for this compaction item + """ + + type: Literal["compaction"] = "compaction" + encrypted_content: str + id: str | None = None + + OpenAIResponseInput = Annotated[ # Responses API allows output messages to be passed in as input + # OpenAIResponseMessage appears in both OpenAIResponseOutput (discriminated by type="message") + # AND as a standalone fallback below. The standalone entry is required because inputs without + # an explicit "type" field (e.g. {"role": "user", "content": "..."}) fail the discriminator + # check in OpenAIResponseOutput. The left_to_right union mode tries the discriminated union + # first, then falls back to matching OpenAIResponseMessage directly. OpenAIResponseOutput | OpenAIResponseInputFunctionToolCallOutput | OpenAIResponseMCPApprovalResponse + | OpenAIResponseCompaction | OpenAIResponseMessage, Field(union_mode="left_to_right"), ] @@ -1510,6 +1530,24 @@ class ListOpenAIResponseInputItem(BaseModel): object: Literal["list"] = "list" +@json_schema_type +class OpenAICompactedResponse(BaseModel): + """Response from compacting a conversation. + + :param id: Unique identifier for the compacted response + :param created_at: Unix timestamp of when the compaction was created + :param object: Object type, always "response.compaction" + :param output: Compacted output items (user messages + compaction item) + :param usage: Token usage information + """ + + id: str + created_at: int + object: Literal["response.compaction"] = "response.compaction" + output: Sequence[OpenAIResponseInput] + usage: OpenAIResponseUsage + + @json_schema_type class OpenAIResponseObjectWithInput(OpenAIResponseObject): """OpenAI response object extended with input context information. diff --git a/src/llama_stack_api/pyproject.toml b/src/llama_stack_api/pyproject.toml index b4da2a114f..ee92043759 100644 --- a/src/llama_stack_api/pyproject.toml +++ b/src/llama_stack_api/pyproject.toml @@ -24,7 +24,7 @@ classifiers = [ "Topic :: Scientific/Engineering :: Information Analysis", ] dependencies = [ - "openai>=2.5.0", + "openai>=2.30.0", "fastapi>=0.115.0,<1.0", "pydantic>=2.11.9", "jsonschema", diff --git a/src/llama_stack_api/responses/__init__.py b/src/llama_stack_api/responses/__init__.py index f0d7e8db80..79d65773d3 100644 --- a/src/llama_stack_api/responses/__init__.py +++ b/src/llama_stack_api/responses/__init__.py @@ -15,6 +15,8 @@ from .api import Responses from .models import ( CancelResponseRequest, + CompactResponseRequest, + ContextManagement, CreateResponseRequest, DeleteResponseRequest, ListResponseInputItemsRequest, @@ -30,6 +32,8 @@ __all__ = [ "Responses", "CancelResponseRequest", + "CompactResponseRequest", + "ContextManagement", "CreateResponseRequest", "DeleteResponseRequest", "ListResponseInputItemsRequest", diff --git a/src/llama_stack_api/responses/api.py b/src/llama_stack_api/responses/api.py index a7eb6d201a..4cdba6a526 100644 --- a/src/llama_stack_api/responses/api.py +++ b/src/llama_stack_api/responses/api.py @@ -10,6 +10,7 @@ from llama_stack_api.openai_responses import ( ListOpenAIResponseInputItem, ListOpenAIResponseObject, + OpenAICompactedResponse, OpenAIDeleteResponseObject, OpenAIResponseObject, OpenAIResponseObjectStream, @@ -17,6 +18,7 @@ from .models import ( CancelResponseRequest, + CompactResponseRequest, CreateResponseRequest, DeleteResponseRequest, ListResponseInputItemsRequest, @@ -54,6 +56,11 @@ async def delete_openai_response( request: DeleteResponseRequest, ) -> OpenAIDeleteResponseObject: ... + async def compact_openai_response( + self, + request: CompactResponseRequest, + ) -> OpenAICompactedResponse: ... + async def cancel_openai_response( self, request: CancelResponseRequest, diff --git a/src/llama_stack_api/responses/fastapi_routes.py b/src/llama_stack_api/responses/fastapi_routes.py index f5205ac6c0..c6ff765dfb 100644 --- a/src/llama_stack_api/responses/fastapi_routes.py +++ b/src/llama_stack_api/responses/fastapi_routes.py @@ -26,6 +26,7 @@ from llama_stack_api.openai_responses import ( ListOpenAIResponseInputItem, ListOpenAIResponseObject, + OpenAICompactedResponse, OpenAIDeleteResponseObject, OpenAIResponseObject, ) @@ -41,6 +42,7 @@ from .api import Responses from .models import ( CancelResponseRequest, + CompactResponseRequest, CreateResponseRequest, DeleteResponseRequest, ListResponseInputItemsRequest, @@ -160,6 +162,17 @@ def create_router(impl: Responses) -> APIRouter: route_class=ExceptionTranslatingRoute, ) + @router.post( + "/responses/compact", + response_model=OpenAICompactedResponse, + summary="Compact a conversation.", + description="Compresses conversation history into a smaller representation while preserving context.", + ) + async def compact_openai_response( + request: Annotated[CompactResponseRequest, Body(...)], + ) -> OpenAICompactedResponse: + return await impl.compact_openai_response(request) + @router.get( "/responses/{response_id}", response_model=OpenAIResponseObject, diff --git a/src/llama_stack_api/responses/models.py b/src/llama_stack_api/responses/models.py index 17350b55ae..320a69202f 100644 --- a/src/llama_stack_api/responses/models.py +++ b/src/llama_stack_api/responses/models.py @@ -11,6 +11,7 @@ """ from enum import StrEnum +from typing import Literal from pydantic import BaseModel, ConfigDict, Field @@ -69,6 +70,19 @@ class ResponseStreamOptions(BaseModel): ) +class ContextManagement(BaseModel): + """Configuration for automatic context management during response generation.""" + + model_config = ConfigDict(extra="forbid") + + type: Literal["compaction"] = Field( + ..., description="The context management entry type. Currently only 'compaction' is supported." + ) + compact_threshold: int | None = Field( + default=None, description="Token threshold at which compaction should be triggered." + ) + + # extra_body can be accessed via .model_extra class CreateResponseRequest(BaseModel): """Request model for creating a response.""" @@ -201,6 +215,10 @@ class CreateResponseRequest(BaseModel): default=None, description="Options that control streamed response behavior.", ) + context_management: list[ContextManagement] | None = Field( + default=None, + description="Context management configuration. When set with type 'compaction', automatically compacts conversation history when token count exceeds the compact_threshold.", + ) class RetrieveResponseRequest(BaseModel): @@ -245,6 +263,24 @@ class ListResponseInputItemsRequest(BaseModel): order: Order | None = Field(default=Order.desc, description="The order to return the input items in.") +class CompactResponseRequest(BaseModel): + """Request model for compacting a conversation.""" + + model_config = ConfigDict(extra="forbid") + + model: str = Field(..., description="The model to use for generating the compacted summary.") + input: str | list[OpenAIResponseInput] | None = Field(default=None, description="Input message(s) to compact.") + instructions: str | None = Field(default=None, description="Instructions to guide the compaction.") + previous_response_id: str | None = Field( + default=None, description="ID of a previous response whose history to compact." + ) + prompt_cache_key: str | None = Field( + default=None, + max_length=64, + description="A key to use when reading from or writing to the prompt cache.", + ) + + class DeleteResponseRequest(BaseModel): """Request model for deleting a response.""" diff --git a/tests/integration/responses/recordings/02353ad89b7f8bbe82595e780c2de8cef8d55434def4d6f1ef728dbc74c5842d.json b/tests/integration/responses/recordings/02353ad89b7f8bbe82595e780c2de8cef8d55434def4d6f1ef728dbc74c5842d.json new file mode 100644 index 0000000000..6880ebc91e --- /dev/null +++ b/tests/integration/responses/recordings/02353ad89b7f8bbe82595e780c2de8cef8d55434def4d6f1ef728dbc74c5842d.json @@ -0,0 +1,85 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_roundtrip[openai_client-txt=azure/gpt-4o]", + "request": { + "method": "POST", + "url": "https://llama-stack-test.openai.azure.com/openai/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "We're building a book tracker app with FastAPI." + }, + { + "role": "assistant", + "content": "Great choice! Use SQLite for the database." + }, + { + "role": "user", + "content": "What tables do we need?" + }, + { + "role": "assistant", + "content": "Users, Books, and ReadingStatus tables." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-02353ad89b7f", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary: Book Tracker App with FastAPI\n\n#### **Progress and Key Decisions**\n- **App Description:** A book tracker app is being developed using FastAPI.\n- **Database:** SQLite has been chosen as the database.\n- **Schema Design:** Initial table requirements identified\u2014`Users`, `Books`, and `ReadingStatus`.\n\n#### **Context and Constraints**\n- Focus is on simplicity and functionality (FastAPI + SQLite).\n- No additional preferences, constraints, or specific requirements have been shared yet.\n\n#### **Next Steps**\n1. Define the database schema:\n - Determine fields and relationships for `Users`, `Books`, and `ReadingStatus` tables.\n - Consider relationships (e.g., one-to-many between Users and ReadingStatus, and between Books and ReadingStatus).\n2. Set up FastAPI project structure:\n - Define models, database setup, and API routes.\n3. Design API endpoints:\n - Example: User registration, book tracking, updating reading status.\n4. Discuss further app requirements: features, authentication, or UI.\n\n#### **Critical Data/References**\n- Specify required fields for tables (e.g., `Books` might need title, author, genre; `ReadingStatus` might need progress percentage).\n- Any authentication or user management needs? 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Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-5a07f88e5bb1", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "**Handoff Summary:**\n\n- **Current Progress and Key Decisions:**\n - Confirmed that the capital of France is Paris.\n\n- **Important Context or User Preferences:**\n - The conversation is focused on factual queries, likely geographical in nature.\n\n- **What Remains to Be Done (Next Steps):**\n - Await further questions or topics of interest from the user to continue the discussion.\n\n- **Critical Data, Examples, or References Needed:**\n - None at this point, as the information requested has been provided completely.\n\nThis summary ensures that any continuation will address any further queries effectively based on the initial question about capitals.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_a09fc949a5", + "usage": { + "completion_tokens": 129, + "prompt_tokens": 111, + "total_tokens": 240, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/5da4165b0fb0da802acd2eec071fa5ee6ec17589d2c73f71a685fd801832875c.json b/tests/integration/responses/recordings/5da4165b0fb0da802acd2eec071fa5ee6ec17589d2c73f71a685fd801832875c.json new file mode 100644 index 0000000000..fa5ae60135 --- /dev/null +++ b/tests/integration/responses/recordings/5da4165b0fb0da802acd2eec071fa5ee6ec17589d2c73f71a685fd801832875c.json @@ -0,0 +1,85 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_double_compaction[openai_client-txt=openai/gpt-4o]", + "request": { + "method": "POST", + "url": "https://api.openai.com/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "Topic A discussion" + }, + { + "role": "assistant", + "content": "### Handoff Summary: Topic A Discussion\n\n#### Current Progress and Key Decisions:\n- **Discussion Initiation**: The conversation began with an overview of Topic A.\n- **Identified Objective**: Establish a clear understanding or solution regarding Topic A.\n- **Key Decision**: Details on specific decisions were not yet discussed.\n\n#### Important Context, Constraints, or User Preferences:\n- **User Context/Preferences**: No specific preferences or constraints mentioned thus far.\n- **Topic Scope**: Topic A has not been detailed, requiring further definition to ensure focus.\n \n#### Next Steps:\n1. **Define Topic A**: Clarify the specifics of Topic A to narrow the discussion.\n2. **Identify Core Questions/Issues**: Determine what key aspects need addressing.\n3. **Decision-Making**: Begin discussing potential solutions or opinions regarding Topic A.\n\n#### Critical Data, Examples, or References Needed:\n- Gather any relevant information or references that can provide context or support future discussions on Topic A.\n\nThis summary should serve to guide the continuation of the discussion effectively." + }, + { + "role": "user", + "content": "Topic B discussion" + }, + { + "role": "assistant", + "content": "Response about B" + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-5da4165b0fb0", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary\n\n#### Current Progress and Key Decisions:\n- **Initiation**: Discussions for Topics A and B have been initiated with an aim to explore and understand underlying issues or opportunities.\n- **Decisions**: No concrete decisions have been made as discussions are still in the exploratory phase and need more definition.\n\n#### Important Context, Constraints, or User Preferences:\n- **Unspecified Details**: Both Topic A and Topic B need further clarification to identify specific areas of interest or issues.\n- **User Preferences**: No specific preferences or constraints from the user have been provided.\n\n#### Next Steps:\n1. **Define Topics**: Clearly articulate the details of Topics A and B to guide the discussions effectively.\n2. **Identify Focus Areas**: Establish key questions or problems associated with each topic that need addressing.\n3. **Research and Information Gathering**: Collect relevant data or examples that can inform and support the discussion.\n\n#### Critical Data, Examples, or References Needed:\n- **Research Materials**: Gather relevant information or research pertinent to Topics A and B to provide depth to future conversations.\n- No specific examples or references have been cited, making this a priority for moving forward.\n\nThis concise summary aims to aid in seamlessly advancing the discussion with a clear focus and direction.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_899261a2ad", + "usage": { + "completion_tokens": 256, + "prompt_tokens": 328, + "total_tokens": 584, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/5e5d9318da33a0ceffab0af107c27f8303938b0abf46e23f060166fccbfc33ea.json b/tests/integration/responses/recordings/5e5d9318da33a0ceffab0af107c27f8303938b0abf46e23f060166fccbfc33ea.json new file mode 100644 index 0000000000..f9ae8a4d55 --- /dev/null +++ b/tests/integration/responses/recordings/5e5d9318da33a0ceffab0af107c27f8303938b0abf46e23f060166fccbfc33ea.json @@ -0,0 +1,85 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_roundtrip[openai_client-txt=openai/gpt-4o]", + "request": { + "method": "POST", + "url": "https://api.openai.com/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "We're building a book tracker app with FastAPI." + }, + { + "role": "assistant", + "content": "Great choice! Use SQLite for the database." + }, + { + "role": "user", + "content": "What tables do we need?" + }, + { + "role": "assistant", + "content": "Users, Books, and ReadingStatus tables." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-5e5d9318da33", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary\n\n**Current Progress and Key Decisions Made:**\n- The project involves building a book tracker app using FastAPI.\n- SQLite has been chosen as the database for the application.\n- Three tables have been identified as necessary: Users, Books, and ReadingStatus.\n\n**Important Context, Constraints, or User Preferences:**\n- FastAPI is used for the backend development, implying an emphasis on performance and asynchronous operations.\n- SQLite is selected for the database, indicating lightweight and potentially local storage.\n\n**What Remains to be Done (Next Steps):**\n1. 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Plan for testing, deployment, and any additional features like book recommendations or social sharing.\n\n**Critical Data, Examples, or References Needed:**\n- Example schemas for Users, Books, and ReadingStatus tables.\n- FastAPI documentation for database integration and best practices.\n- Authentication libraries or tools that integrate well with FastAPI for managing users.\n\nThis summary should help maintain continuity in the development process.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_89c7a0a89e", + "usage": { + "completion_tokens": 250, + "prompt_tokens": 139, + "total_tokens": 389, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/5fe7155ee4100ad9b41809d9e66ddb6e6923c5baa26baaef8ed07be234065195.json b/tests/integration/responses/recordings/5fe7155ee4100ad9b41809d9e66ddb6e6923c5baa26baaef8ed07be234065195.json new file mode 100644 index 0000000000..c9bdc3423b --- /dev/null +++ b/tests/integration/responses/recordings/5fe7155ee4100ad9b41809d9e66ddb6e6923c5baa26baaef8ed07be234065195.json @@ -0,0 +1,100 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_with_tool_calls_dropped[openai_client-txt=azure/gpt-4o]", + "request": { + "method": "POST", + "url": "https://llama-stack-test.openai.azure.com/openai/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "What's the weather?" + }, + { + "role": "assistant", + "tool_calls": [ + { + "index": 0, + "id": "call_1", + "type": "function", + "function": { + "name": "get_weather", + "arguments": "{\"city\": \"SF\"}" + } + } + ] + }, + { + "role": "tool", + "tool_call_id": "call_1", + "content": "{\"temp\": 65}" + }, + { + "role": "assistant", + "content": "It's 65F in SF." + }, + { + "role": "user", + "content": "Thanks!" + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-5fe7155ee410", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary\n\n**Progress and Key Decisions:**\n- User inquired about the current weather.\n- Provided the weather in San Francisco (65\u00b0F).\n\n**Context and Preferences:**\n- User's inquiry was weather-related and location-specific (San Francisco).\n- No additional preferences or constraints were provided.\n\n**Next Steps:**\n- Await further questions or requests from the user.\n\n**Critical Data:**\n- Current temperature in San Francisco: 65\u00b0F.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-11-20", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_af7f7349a4", + "usage": { + "completion_tokens": 93, + "prompt_tokens": 142, + "total_tokens": 235, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/654a54ad833805f325132431a0ab4f5a4e0dfd7a59f5eeff2c0d4bdaace1d765.json b/tests/integration/responses/recordings/654a54ad833805f325132431a0ab4f5a4e0dfd7a59f5eeff2c0d4bdaace1d765.json new file mode 100644 index 0000000000..0827735aa2 --- /dev/null +++ b/tests/integration/responses/recordings/654a54ad833805f325132431a0ab4f5a4e0dfd7a59f5eeff2c0d4bdaace1d765.json @@ -0,0 +1,85 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_basic_conversation[openai_client-txt=azure/gpt-4o]", + "request": { + "method": "POST", + "url": "https://llama-stack-test.openai.azure.com/openai/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "Help me plan a Python web app." + }, + { + "role": "assistant", + "content": "I suggest FastAPI with SQLite." + }, + { + "role": "user", + "content": "Add authentication too." + }, + { + "role": "assistant", + "content": "Use OAuth2 with JWT tokens." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. 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about topic number 12 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 13 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 14 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 15 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 16 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 17 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 18 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 19 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 20 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 21 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 22 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 23 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 24 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 25 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 26 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 27 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 28 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 29 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 30 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 31 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 32 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 33 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 34 in great detail." + 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Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. " + }, + { + "role": "user", + "content": "Tell me about topic number 5 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. " + }, + { + "role": "user", + "content": "Tell me about topic number 6 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. Here is a detailed response about topic 6. " + }, + { + "role": "user", + "content": "Tell me about topic number 7 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. Here is a detailed response about topic 7. " + }, + { + "role": "user", + "content": "Tell me about topic number 8 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. " + }, + { + "role": "user", + "content": "Tell me about topic number 9 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 9. 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" + }, + { + "role": "user", + "content": "Tell me about topic number 11 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. " + }, + { + "role": "user", + "content": "Tell me about topic number 12 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. 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Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. Here is a detailed response about topic 25. " + }, + { + "role": "user", + "content": "Tell me about topic number 26 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 26. Here is a detailed response about topic 26. Here is a detailed response about topic 26. Here is a detailed response about topic 26. 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Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. Here is a detailed response about topic 27. " + }, + { + "role": "user", + "content": "Tell me about topic number 28 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. " + }, + { + "role": "user", + "content": "Tell me about topic number 29 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. " + }, + { + "role": "user", + "content": "Tell me about topic number 30 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. " + }, + { + "role": "user", + "content": "Tell me about topic number 31 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. " + }, + { + "role": "user", + "content": "Tell me about topic number 32 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. " + }, + { + "role": "user", + "content": "Tell me about topic number 33 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. " + }, + { + "role": "user", + "content": "Tell me about topic number 34 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. " + }, + { + "role": "user", + "content": "Tell me about topic number 35 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. " + }, + { + "role": "user", + "content": "Tell me about topic number 36 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. " + }, + { + "role": "user", + "content": "Tell me about topic number 37 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. " + }, + { + "role": "user", + "content": "Tell me about topic number 38 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. " + }, + { + "role": "user", + "content": "Tell me about topic number 39 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. " + }, + { + "role": "user", + "content": "Tell me about topic number 40 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. " + }, + { + "role": "user", + "content": "Tell me about topic number 41 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. " + }, + { + "role": "user", + "content": "Tell me about topic number 42 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. " + }, + { + "role": "user", + "content": "Tell me about topic number 43 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. " + }, + { + "role": "user", + "content": "Tell me about topic number 44 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. " + }, + { + "role": "user", + "content": "Tell me about topic number 45 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. " + }, + { + "role": "user", + "content": "Tell me about topic number 46 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. " + }, + { + "role": "user", + "content": "Tell me about topic number 47 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. " + }, + { + "role": "user", + "content": "Tell me about topic number 48 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. " + }, + { + "role": "user", + "content": "Tell me about topic number 49 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. " + }, + { + "role": "user", + "content": "Summarize what we discussed." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-7ae11298102b", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary\n\n**Current Progress:**\n- The user inquired about topics 0 through 49 in great detail.\n- The responses provided were placeholder texts repeating the topic number.\n\n**Important Context and Constraints:**\n- The user seems to be interested in detailed explanations for a series of topics numbered 0 to 49.\n- There were no specific content details provided for the topics, leading to repetitive placeholder responses.\n\n**User Preferences:**\n- The user prefers detailed and structured information on each topic.\n- No specific format or structure was requested beyond a detailed explanation.\n\n**What Remains to be Done:**\n- Provide meaningful, detailed content for each of the topics from 0 to 49 if actual descriptions exist.\n- Clarify whether there are specific themes or subjects associated with these topic numbers.\n\n**Critical Data, Examples, or References Needed:**\n- Clarification on the nature of these topics and any specific details or themes associated with them.\n- Any specific examples or references the user wishes to explore within these topics.\n\n**Next Steps:**\n1. Request clarification from the user on the specific themes or details pertaining to each topic number.\n2. Provide comprehensive descriptions based on user clarification or any available references.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_9894c391cd", + "usage": { + "completion_tokens": 245, + "prompt_tokens": 11100, + "total_tokens": 11345, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/821e59d3ce5846dc47b3b3564215e3de18f1b9d57dcdf67d4cbec6f0a308e559.json 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3 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 4 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 5 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 6 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 7 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 8 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 9 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 10 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 11 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 12 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 13 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 14 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 15 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 16 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 17 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 18 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 19 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 20 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 21 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 22 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 23 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 24 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 25 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 26 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 27 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 28 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 29 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 30 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 31 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 32 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 33 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 34 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 35 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 36 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 37 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 38 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 39 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 40 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 41 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 42 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 43 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 44 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 45 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 46 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 47 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 48 in great detail." + }, + { + "role": "user", + "content": "Tell me about topic number 49 in great detail." + }, + { + "role": "user", + "content": "Summarize what we discussed." + }, + { + "role": "assistant", + "content": "### Context Summary and Handoff\n\n**Current Progress and Key Decisions Made:**\n- The user has repeatedly asked for detailed information about topics numbered 0 through 49.\n- Responses provided so far are repetitive placeholders and lack substantive detail.\n- No actual topics or meaningful content have been discussed or clarified.\n\n**Important Context, Constraints, or User Preferences:**\n- The user has not defined what \"topics\" refer to or provided specific details, preferences, or goals.\n- Clear expectations or problem scope have not been established.\n\n**What Remains to Be Done (Next Steps):**\n1. 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Provide substantive, well-researched, and tailored responses on the relevant topics.\n\n**Critical Data, Examples, or References Needed:**\n- Explicit definitions or descriptions from the user about each numbered topic.\n- Any additional user preferences, such as depth of explanation, formatting, or specific references required depending on the type of topic.\n\nSeamless continuation requires **clear problem framing** from the user to ensure relevant information delivery." + } + ], + "stream": true, + "stream_options": { + "include_usage": true + } + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "rec-821e59d3ce58", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": 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If there was more to our conversation, please let me know so I can assist you further." + }, + { + "role": "user", + "content": "What was the secret word?" + } + ], + "stream": true, + "stream_options": { + "include_usage": true + } + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "rec-9c6aafb757f3", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion.chunk", + "service_tier": "default", + "system_fingerprint": "fp_8a0d04bcbc", + "usage": null, + "obfuscation": "oDdclWQgYRPoLM" + } + }, + { + "__type__": 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], + "is_streaming": true + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/a31c716b51228e40eef5f689d1fa8652df0d61f11346952ec37276c609f3e10c.json b/tests/integration/responses/recordings/a31c716b51228e40eef5f689d1fa8652df0d61f11346952ec37276c609f3e10c.json new file mode 100644 index 0000000000..da8ffa0d73 --- /dev/null +++ b/tests/integration/responses/recordings/a31c716b51228e40eef5f689d1fa8652df0d61f11346952ec37276c609f3e10c.json @@ -0,0 +1,77 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestCompactResponses::test_compact_chain_through_compaction[openai_client-txt=openai/gpt-4o]", + "request": { + "method": "POST", + "url": "https://api.openai.com/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "Remember: the secret word is 'banana'." + }, + { + "role": "assistant", + "content": "Got it, I'll remember the secret word is banana." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-a31c716b5122", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "**Handoff Summary:**\n\n- **Current Progress and Key Decisions:**\n - The secret word for context or reference is established as \"banana.\"\n\n- **Important Context, Constraints, or User Preferences:**\n - The conversation has centered on establishing a keyword (\"banana\") for potential use in future interactions.\n\n- **What Remains to be Done (Clear Next Steps):**\n - Future conversations may require referencing or using the secret word \"banana\" based on context or user indication.\n\n- **Critical Data, Examples, or References Needed to Continue:**\n - No additional data or examples are currently needed related to the secret word. Future interactions will depend on the context in which \"banana\" is relevant.\n\nThis summary ensures continuity and seamless engagement focused around the usage of the secret word as necessary.", + "refusal": null, + "role": "assistant", + "annotations": [], + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "gpt-4o-2024-08-06", + "object": "chat.completion", + "service_tier": "default", + "system_fingerprint": "fp_a09fc949a5", + "usage": { + "completion_tokens": 161, + "prompt_tokens": 117, + "total_tokens": 278, + "completion_tokens_details": { + "accepted_prediction_tokens": 0, + "audio_tokens": 0, + "reasoning_tokens": 0, + "rejected_prediction_tokens": 0 + }, + "prompt_tokens_details": { + "audio_tokens": 0, + "cached_tokens": 0 + } + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/a8c95c867ee2f6f3d48d413bed43c0439a9c676b936fe3730bb9af95b2e92a0e.json b/tests/integration/responses/recordings/a8c95c867ee2f6f3d48d413bed43c0439a9c676b936fe3730bb9af95b2e92a0e.json new file mode 100644 index 0000000000..9b8aad5875 --- /dev/null +++ b/tests/integration/responses/recordings/a8c95c867ee2f6f3d48d413bed43c0439a9c676b936fe3730bb9af95b2e92a0e.json @@ -0,0 +1,473 @@ +{ + "test_id": "tests/integration/responses/test_compact_responses.py::TestContextManagement::test_context_management_auto_compacts_large_input[openai_client-txt=azure/gpt-4o]", + "request": { + "method": "POST", + "url": "https://llama-stack-test.openai.azure.com/openai/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-4o", + "messages": [ + { + "role": "user", + "content": "Tell me about topic number 0 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. Here is a detailed response about topic 0. " + }, + { + "role": "user", + "content": "Tell me about topic number 1 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. Here is a detailed response about topic 1. " + }, + { + "role": "user", + "content": "Tell me about topic number 2 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. Here is a detailed response about topic 2. " + }, + { + "role": "user", + "content": "Tell me about topic number 3 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 3. 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Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. Here is a detailed response about topic 4. " + }, + { + "role": "user", + "content": "Tell me about topic number 5 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. Here is a detailed response about topic 5. " + }, + { + "role": "user", + "content": "Tell me about topic number 6 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 6. 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Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. Here is a detailed response about topic 8. " + }, + { + "role": "user", + "content": "Tell me about topic number 9 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. Here is a detailed response about topic 9. " + }, + { + "role": "user", + "content": "Tell me about topic number 10 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. Here is a detailed response about topic 10. " + }, + { + "role": "user", + "content": "Tell me about topic number 11 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. Here is a detailed response about topic 11. " + }, + { + "role": "user", + "content": "Tell me about topic number 12 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. Here is a detailed response about topic 12. " + }, + { + "role": "user", + "content": "Tell me about topic number 13 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. Here is a detailed response about topic 13. 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Here is a detailed response about topic 16. Here is a detailed response about topic 16. Here is a detailed response about topic 16. Here is a detailed response about topic 16. Here is a detailed response about topic 16. Here is a detailed response about topic 16. " + }, + { + "role": "user", + "content": "Tell me about topic number 17 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. Here is a detailed response about topic 17. 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Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. Here is a detailed response about topic 28. " + }, + { + "role": "user", + "content": "Tell me about topic number 29 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. Here is a detailed response about topic 29. " + }, + { + "role": "user", + "content": "Tell me about topic number 30 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. Here is a detailed response about topic 30. " + }, + { + "role": "user", + "content": "Tell me about topic number 31 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. Here is a detailed response about topic 31. " + }, + { + "role": "user", + "content": "Tell me about topic number 32 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. Here is a detailed response about topic 32. " + }, + { + "role": "user", + "content": "Tell me about topic number 33 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. Here is a detailed response about topic 33. " + }, + { + "role": "user", + "content": "Tell me about topic number 34 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. Here is a detailed response about topic 34. " + }, + { + "role": "user", + "content": "Tell me about topic number 35 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. Here is a detailed response about topic 35. " + }, + { + "role": "user", + "content": "Tell me about topic number 36 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. Here is a detailed response about topic 36. " + }, + { + "role": "user", + "content": "Tell me about topic number 37 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. Here is a detailed response about topic 37. " + }, + { + "role": "user", + "content": "Tell me about topic number 38 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. Here is a detailed response about topic 38. " + }, + { + "role": "user", + "content": "Tell me about topic number 39 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. Here is a detailed response about topic 39. " + }, + { + "role": "user", + "content": "Tell me about topic number 40 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. Here is a detailed response about topic 40. " + }, + { + "role": "user", + "content": "Tell me about topic number 41 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. Here is a detailed response about topic 41. " + }, + { + "role": "user", + "content": "Tell me about topic number 42 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. Here is a detailed response about topic 42. " + }, + { + "role": "user", + "content": "Tell me about topic number 43 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. Here is a detailed response about topic 43. " + }, + { + "role": "user", + "content": "Tell me about topic number 44 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. Here is a detailed response about topic 44. " + }, + { + "role": "user", + "content": "Tell me about topic number 45 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. Here is a detailed response about topic 45. 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Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. Here is a detailed response about topic 46. " + }, + { + "role": "user", + "content": "Tell me about topic number 47 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. Here is a detailed response about topic 47. " + }, + { + "role": "user", + "content": "Tell me about topic number 48 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. Here is a detailed response about topic 48. " + }, + { + "role": "user", + "content": "Tell me about topic number 49 in great detail." + }, + { + "role": "assistant", + "content": "Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. Here is a detailed response about topic 49. " + }, + { + "role": "user", + "content": "Summarize what we discussed." + }, + { + "role": "user", + "content": "You are performing a CONTEXT CHECKPOINT COMPACTION. Create a concise handoff summary of the conversation so far. 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Create a concise handoff summary of the conversation so far. Include:\n- Current progress and key decisions made\n- Important context, constraints, or user preferences\n- What remains to be done (clear next steps)\n- Any critical data, examples, or references needed to continue\n\nBe concise, structured, and focused on helping seamlessly continue the work." + } + ], + "stream": false + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-4o", + "provider_metadata": { + "openai_sdk_version": "2.30.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-c3abf2bc7b49", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "### Handoff Summary:\n\n**Progress & Key Decisions:**\n- User initiated the conversation with a greeting (\"Hello!\").\n- No specific topic, question, or task has been introduced yet.\n\n**Context, Constraints, or Preferences:**\n- User's intent or preferences remain unclear.\n- No constraints or context provided so far.\n\n**Next Steps:**\n- Await user's input to clarify their intent or provide a specific question/task to address.\n- Ensure active listening to gather details about goals or requirements.\n\n**Critical Data or References:**\n- None at this stage. 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], + "is_streaming": true + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/test_compact_responses.py b/tests/integration/responses/test_compact_responses.py new file mode 100644 index 0000000000..8a0ddaff19 --- /dev/null +++ b/tests/integration/responses/test_compact_responses.py @@ -0,0 +1,259 @@ +# 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. + +import pytest +from llama_stack_client import LlamaStackClient + + +class TestCompactResponses: + """Tests for POST /v1/responses/compact endpoint.""" + + @pytest.fixture(autouse=True) + def _skip_non_openai_client(self, responses_client): + if isinstance(responses_client, LlamaStackClient): + pytest.skip("Compact tests require OpenAI client (.post() method)") + + def test_compact_basic_conversation(self, responses_client, text_model_id): + """Compact a multi-turn conversation with input array.""" + result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "Help me plan a Python web app."}, + {"role": "assistant", "content": "I suggest FastAPI with SQLite."}, + {"role": "user", "content": "Add authentication too."}, + {"role": "assistant", "content": "Use OAuth2 with JWT tokens."}, + ], + }, + cast_to=object, + ) + assert result["object"] == "response.compaction" + assert result["usage"]["input_tokens"] > 0 + output = result["output"] + messages = [o for o in output if o.get("type") == "message"] + compactions = [o for o in output if o.get("type") == "compaction"] + assert len(messages) == 2 # 2 user messages + assert all(m["role"] == "user" for m in messages) + assert len(compactions) == 1 + assert compactions[0]["encrypted_content"] + assert output[-1]["type"] == "compaction" + + def test_compact_single_message(self, responses_client, text_model_id): + """Edge case: compact with just one user message.""" + result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [{"role": "user", "content": "Hello!"}], + }, + cast_to=object, + ) + assert result["object"] == "response.compaction" + assert len([o for o in result["output"] if o.get("type") == "message"]) == 1 + assert len([o for o in result["output"] if o.get("type") == "compaction"]) == 1 + + def test_compact_with_tool_calls_dropped(self, responses_client, text_model_id): + """Tool calls and outputs should be dropped from compacted output.""" + result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "What's the weather?"}, + { + "type": "function_call", + "id": "fc_1", + "call_id": "call_1", + "name": "get_weather", + "arguments": '{"city": "SF"}', + }, + { + "type": "function_call_output", + "call_id": "call_1", + "output": '{"temp": 65}', + }, + {"role": "assistant", "content": "It's 65F in SF."}, + {"role": "user", "content": "Thanks!"}, + ], + }, + cast_to=object, + ) + output = result["output"] + types = [o.get("type") for o in output] + assert "function_call" not in types + assert "function_call_output" not in types + assert set(types) == {"message", "compaction"} + + def test_compact_with_previous_response_id(self, responses_client, text_model_id): + """Compact using previous_response_id to resolve stored history.""" + response = responses_client.responses.create( + model=text_model_id, + input="What is the capital of France?", + store=True, + ) + result = responses_client.post( + "/responses/compact", + body={"model": text_model_id, "previous_response_id": response.id}, + cast_to=object, + ) + assert result["object"] == "response.compaction" + messages = [o for o in result["output"] if o.get("type") == "message"] + assert any( + "capital" in m["content"][0]["text"].lower() or "france" in m["content"][0]["text"].lower() + for m in messages + ) + + def test_compact_roundtrip(self, responses_client, text_model_id): + """Compact output can be used as input to a new response.""" + compact_result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "We're building a book tracker app with FastAPI."}, + {"role": "assistant", "content": "Great choice! Use SQLite for the database."}, + {"role": "user", "content": "What tables do we need?"}, + {"role": "assistant", "content": "Users, Books, and ReadingStatus tables."}, + ], + }, + cast_to=object, + ) + followup_input = compact_result["output"] + [{"role": "user", "content": "What ORM should I use?"}] + followup = responses_client.responses.create( + model=text_model_id, + input=followup_input, + ) + assert len(followup.output_text) > 0 + + def test_compact_input_items_hides_compaction(self, responses_client, text_model_id): + """input_items should NOT return compaction items.""" + compact_result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there"}, + ], + }, + cast_to=object, + ) + followup = responses_client.responses.create( + model=text_model_id, + input=compact_result["output"] + [{"role": "user", "content": "How are you?"}], + store=True, + ) + items = responses_client.responses.input_items.list(followup.id) + for item in items.data: + assert item.type != "compaction" + + def test_compact_chain_through_compaction(self, responses_client, text_model_id): + """previous_response_id should work through compacted conversations.""" + compact_result = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "Remember: the secret word is 'banana'."}, + {"role": "assistant", "content": "Got it, I'll remember the secret word is banana."}, + ], + }, + cast_to=object, + ) + resp1 = responses_client.responses.create( + model=text_model_id, + input=compact_result["output"] + [{"role": "user", "content": "What did we discuss?"}], + store=True, + ) + resp2 = responses_client.responses.create( + model=text_model_id, + input="What was the secret word?", + previous_response_id=resp1.id, + ) + assert "banana" in resp2.output_text.lower() + + def test_compact_double_compaction(self, responses_client, text_model_id): + """Compacting an already-compacted conversation should work.""" + c1 = responses_client.post( + "/responses/compact", + body={ + "model": text_model_id, + "input": [ + {"role": "user", "content": "Topic A discussion"}, + {"role": "assistant", "content": "Response about A"}, + ], + }, + cast_to=object, + ) + extended = c1["output"] + [ + {"role": "user", "content": "Topic B discussion"}, + {"role": "assistant", "content": "Response about B"}, + ] + c2 = responses_client.post( + "/responses/compact", + body={"model": text_model_id, "input": extended}, + cast_to=object, + ) + compactions = [o for o in c2["output"] if o.get("type") == "compaction"] + assert len(compactions) == 1 + + def test_compact_error_no_input(self, responses_client, text_model_id): + """Compact with no input and no previous_response_id should error.""" + import openai + + with pytest.raises(openai.BadRequestError): + responses_client.post( + "/responses/compact", + body={"model": text_model_id}, + cast_to=object, + ) + + +class TestContextManagement: + """Tests for context_management parameter on responses.create.""" + + @pytest.fixture(autouse=True) + def _skip_non_openai_client(self, responses_client): + if isinstance(responses_client, LlamaStackClient): + pytest.skip("Context management tests require OpenAI client") + + def test_context_management_auto_compacts_large_input(self, responses_client, text_model_id): + """When input exceeds compact_threshold, context should be auto-compacted.""" + large_input = [] + for i in range(50): + large_input.append({"role": "user", "content": f"Tell me about topic number {i} in great detail."}) + large_input.append( + { + "role": "assistant", + "content": f"Here is a detailed response about topic {i}. 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