diff --git a/client-sdks/stainless/openapi.yml b/client-sdks/stainless/openapi.yml index 495df0e0c5..c110100841 100644 --- a/client-sdks/stainless/openapi.yml +++ b/client-sdks/stainless/openapi.yml @@ -6925,6 +6925,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -6942,7 +6943,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -7094,6 +7097,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7103,8 +7108,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -7270,6 +7276,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7279,8 +7287,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -7309,6 +7318,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -7326,7 +7336,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) OpenAIResponsePrompt: properties: id: @@ -7577,6 +7589,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7586,8 +7600,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -8382,6 +8397,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -8399,7 +8415,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -8432,6 +8450,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -8449,7 +8468,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -8925,6 +8946,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -8934,8 +8957,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -11481,6 +11505,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -11490,8 +11516,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Input' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Input | ... (7 variants) + title: OpenAIResponseMessage-Input | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -12573,6 +12600,64 @@ components: - text title: OpenAIResponseOutputMessageFileSearchToolCallResults description: Search results returned by the file search operation. + OpenAIResponseOutputMessageReasoningContent: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - reasoning_text + required: + - text + title: OpenAIResponseOutputMessageReasoningContent + description: Reasoning text from the model. + OpenAIResponseOutputMessageReasoningItem: + properties: + id: + type: string + title: Id + summary: + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningSummary' + type: array + title: Summary + type: + type: string + title: Type + enum: + - reasoning + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningContent' + type: array + - type: 'null' + status: + anyOf: + - type: string + - type: 'null' + required: + - id + - summary + title: OpenAIResponseOutputMessageReasoningItem + description: Reasoning output from the model, representing the model's thinking process. + OpenAIResponseOutputMessageReasoningSummary: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - summary_text + required: + - text + title: OpenAIResponseOutputMessageReasoningSummary + description: A summary of reasoning output from the model. OpenAIResponseReasoning: properties: effort: @@ -12586,6 +12671,14 @@ components: - high - xhigh - type: 'null' + summary: + anyOf: + - type: string + enum: + - auto + - concise + - detailed + - type: 'null' title: OpenAIResponseReasoning description: |- Configuration for reasoning effort in OpenAI responses. diff --git a/docs/docs/api-openai/conformance.mdx b/docs/docs/api-openai/conformance.mdx index e1f719d4b3..383a6759a3 100644 --- a/docs/docs/api-openai/conformance.mdx +++ b/docs/docs/api-openai/conformance.mdx @@ -999,7 +999,7 @@ Below is a detailed breakdown of conformance issues and missing properties for e | `responses.200.content.application/json.properties.incomplete_details` | Union variants added: 1; Union variants removed: 1 | Yes | | `responses.200.content.application/json.properties.metadata` | Union variants added: 2 | Yes | | `responses.200.content.application/json.properties.object` | Default changed: response -> None | No | -| `responses.200.content.application/json.properties.output.items` | Union variants added: 7; Union variants removed: 4 | Yes | +| `responses.200.content.application/json.properties.output.items` | Union variants added: 8; Union variants removed: 4 | Yes | | `responses.200.content.application/json.properties.parallel_tool_calls` | Type removed: ['boolean']; Nullable added (OpenAI non-nullable); Union variants added: 2; Default changed: None -> True | Yes | | `responses.200.content.application/json.properties.presence_penalty` | Type removed: ['number']; Nullable added (OpenAI non-nullable); Union variants added: 2 | No | | `responses.200.content.application/json.properties.reasoning` | Union variants added: 1; Union variants removed: 1 | Yes | diff --git a/docs/docs/api-openai/provider_matrix.md b/docs/docs/api-openai/provider_matrix.md index 02240a1904..bcbd902810 100644 --- a/docs/docs/api-openai/provider_matrix.md +++ b/docs/docs/api-openai/provider_matrix.md @@ -19,11 +19,12 @@ 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% | -| vllm | 1 | 1 | 0 | 1% | -| watsonx | 56 | 56 | 0 | 47% | +| azure | 102 | 102 | 0 | 84% | +| bedrock | 28 | 28 | 0 | 23% | +| ollama | 2 | 2 | 0 | 2% | +| openai | 122 | 122 | 0 | 100% | +| vllm | 4 | 4 | 0 | 3% | +| watsonx | 56 | 56 | 0 | 46% | ## Provider Details @@ -32,184 +33,188 @@ 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 | -| bedrock | openai.gpt-oss-20b | bedrock-mantle.us-east-2.api.aws | openai sdk: 2.5.0 | +| bedrock | openai.gpt-oss-20b | bedrock-mantle.us-east-2.api.aws, bedrock-mantle.us-west-2.api.aws | openai sdk: 2.5.0 | +| ollama | gpt-oss:20b | — | 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 | — | — | +| vllm | Qwen/Qwen3-0.6B | — | openai sdk: 2.5.0, vllm server: 0.18.1rc1.dev197+g0e9358c11 | | watsonx | meta-llama/llama-3-3-70b-instruct | us-south.ml.cloud.ibm.com | openai sdk: 2.5.0 | ## Basic Responses -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| extra body guided choice | ✅ | ✅ | ✅ | — | ✅ | -| include logprobs non streaming | ✅ | ✅ | ✅ | — | ✅ | -| include logprobs streaming | ✅ | ✅ | ✅ | — | ✅ | -| include logprobs with function tools | ✅ | ✅ | ✅ | — | ✅ | -| include logprobs with web search | ✅ | ✅ | ✅ | — | ✅ | -| non streaming basic | ✅ | ✅ | ✅ | — | ✅ | -| non streaming image | ✅ | ⏭️ | ✅ | — | ⏭️ | -| non streaming multi turn | ✅ | ✅ | ✅ | — | ✅ | -| non streaming multi turn image | ✅ | ⏭️ | ✅ | — | ⏭️ | -| streaming basic | ✅ | ✅ | ✅ | — | ✅ | -| streaming incremental content | ✅ | ✅ | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| extra body guided choice | ✅ | ✅ | — | ✅ | — | ✅ | +| include logprobs non streaming | ✅ | ✅ | — | ✅ | — | ✅ | +| include logprobs streaming | ✅ | ✅ | — | ✅ | — | ✅ | +| include logprobs with function tools | ✅ | ✅ | — | ✅ | — | ✅ | +| include logprobs with web search | ✅ | ✅ | — | ✅ | — | ✅ | +| non streaming basic | ✅ | ✅ | — | ✅ | — | ✅ | +| non streaming image | ✅ | ⏭️ | — | ✅ | — | ⏭️ | +| non streaming multi turn | ✅ | ✅ | — | ✅ | — | ✅ | +| non streaming multi turn image | ✅ | ⏭️ | — | ✅ | — | ⏭️ | +| streaming basic | ✅ | ✅ | — | ✅ | — | ✅ | +| streaming incremental content | ✅ | ✅ | — | ✅ | — | ✅ | ## Conversation Responses -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| conversation backward compatibility | ✅ | ✅ | ✅ | — | ✅ | -| conversation basic workflow | ✅ | ✅ | ✅ | — | ✅ | -| conversation context loading | ✅ | ✅ | ✅ | — | ✅ | -| conversation error handling | ⏭️ | ⏭️ | ✅ | — | ⏭️ | -| conversation multi turn and streaming | ✅ | ✅ | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| conversation backward compatibility | ✅ | ✅ | — | ✅ | — | ✅ | +| conversation basic workflow | ✅ | ✅ | — | ✅ | — | ✅ | +| conversation context loading | ✅ | ✅ | — | ✅ | — | ✅ | +| conversation error handling | ⏭️ | ⏭️ | — | ✅ | — | ⏭️ | +| conversation multi turn and streaming | ✅ | ✅ | — | ✅ | — | ✅ | ## File Search -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| file search filter by category | ✅ | — | ✅ | — | ⏭️ | -| file search filter by date range | ✅ | — | ✅ | — | ⏭️ | -| file search filter by region | ✅ | — | ✅ | — | ⏭️ | -| file search filter compound and | ✅ | — | ✅ | — | ⏭️ | -| file search filter compound or | ✅ | — | ✅ | — | ⏭️ | -| file search streaming events | ✅ | — | ✅ | — | ⏭️ | -| text format | ✅ | — | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| file search filter by category | ✅ | — | — | ✅ | — | ⏭️ | +| file search filter by date range | ✅ | — | — | ✅ | — | ⏭️ | +| file search filter by region | ✅ | — | — | ✅ | — | ⏭️ | +| file search filter compound and | ✅ | — | — | ✅ | — | ⏭️ | +| file search filter compound or | ✅ | — | — | ✅ | — | ⏭️ | +| file search streaming events | ✅ | — | — | ✅ | — | ⏭️ | +| text format | ✅ | — | — | ✅ | — | ✅ | ## Mcp Authentication -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| mcp authorization backward compatibility | ✅ | ✅ | ✅ | — | — | -| mcp authorization bearer | ✅ | ✅ | ✅ | — | — | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| mcp authorization backward compatibility | ✅ | ✅ | — | ✅ | — | — | +| mcp authorization bearer | ✅ | ✅ | — | ✅ | — | — | ## Openai Responses -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| background false is synchronous | ✅ | — | ✅ | — | ✅ | -| background returns queued | ✅ | — | ✅ | — | ✅ | -| cancel completed response fails | ✅ | — | ✅ | — | ⏭️ | -| incomplete details length | ✅ | — | ✅ | — | ✅ | -| incomplete details length streaming | ✅ | — | ✅ | — | ✅ | -| incomplete details max iterations exceeded | ✅ | — | ✅ | — | ✅ | -| incomplete details max iterations exceeded streaming | ✅ | — | ✅ | — | ✅ | -| incomplete details null when completed | ✅ | — | ✅ | — | ✅ | -| reasoning effort | ⏭️ | — | ✅ | — | ⏭️ | -| reasoning effort streaming | ⏭️ | — | ✅ | — | ⏭️ | -| streaming includes usage | ✅ | — | ✅ | — | ✅ | -| streaming invalid base64 image failure code is spec compliant | ✅ | — | ✅ | — | ⏭️ | -| with max output tokens | ✅ | — | ✅ | — | ⏭️ | -| with parallel tool calls and previous response | ✅ | — | ✅ | — | ✅ | -| with parallel tool calls disabled | ✅ | — | ✅ | — | ⏭️ | -| with parallel tool calls disabled streaming | ✅ | — | ✅ | — | ⏭️ | -| with parallel tool calls enabled | ✅ | — | ✅ | — | ⏭️ | -| with prompt cache key | ✅ | — | ✅ | — | ✅ | -| with prompt cache key and previous response | ✅ | — | ✅ | — | ✅ | -| with prompt cache key streaming | ✅ | — | ✅ | — | ✅ | -| with safety identifier | ✅ | — | ✅ | — | ✅ | -| with safety identifier and previous response | ✅ | — | ✅ | — | ✅ | -| with safety identifier streaming | ✅ | — | ✅ | — | ✅ | -| with service tier | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier and previous response | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier auto | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier auto and previous response | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier auto streaming | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier flex | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier flex streaming | ⏭️ | — | ✅ | — | ⏭️ | -| with service tier streaming | ⏭️ | — | ✅ | — | ⏭️ | -| with small max output tokens | ✅ | — | ✅ | — | ⏭️ | -| with stream options and previous response | ✅ | — | ✅ | — | ✅ | -| with stream options includes usage | ✅ | — | ✅ | — | ✅ | -| with stream options non streaming | ✅ | — | ✅ | — | ✅ | -| with top logprobs | ✅ | — | ✅ | — | ✅ | -| with top logprobs and previous response | ✅ | — | ✅ | — | ✅ | -| with top logprobs streaming | ✅ | — | ✅ | — | ✅ | -| with top p | ✅ | — | ✅ | — | ✅ | -| with top p and previous response | ✅ | — | ✅ | — | ✅ | -| with top p streaming | ✅ | — | ✅ | — | ✅ | -| with truncation and previous response | ✅ | — | ✅ | — | ✅ | -| with truncation disabled | ✅ | — | ✅ | — | ✅ | -| with truncation disabled streaming | ✅ | — | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| background false is synchronous | ✅ | — | — | ✅ | — | ✅ | +| background returns queued | ✅ | — | — | ✅ | — | ✅ | +| cancel completed response fails | ✅ | — | — | ✅ | — | ⏭️ | +| incomplete details length | ✅ | — | — | ✅ | — | ✅ | +| incomplete details length streaming | ✅ | — | — | ✅ | — | ✅ | +| incomplete details max iterations exceeded | ✅ | — | — | ✅ | — | ✅ | +| incomplete details max iterations exceeded streaming | ✅ | — | — | ✅ | — | ✅ | +| incomplete details null when completed | ✅ | — | — | ✅ | — | ✅ | +| reasoning effort | ⏭️ | — | — | ✅ | — | ⏭️ | +| reasoning effort streaming | ⏭️ | — | — | ✅ | — | ⏭️ | +| streaming includes usage | ✅ | — | — | ✅ | — | ✅ | +| streaming invalid base64 image failure code is spec compliant | ✅ | — | — | ✅ | — | ⏭️ | +| with max output tokens | ✅ | — | — | ✅ | — | ⏭️ | +| with parallel tool calls and previous response | ✅ | — | — | ✅ | — | ✅ | +| with parallel tool calls disabled | ✅ | — | — | ✅ | — | ⏭️ | +| with parallel tool calls disabled streaming | ✅ | — | — | ✅ | — | ⏭️ | +| with parallel tool calls enabled | ✅ | — | — | ✅ | — | ⏭️ | +| with prompt cache key | ✅ | — | — | ✅ | — | ✅ | +| with prompt cache key and previous response | ✅ | — | — | ✅ | — | ✅ | +| with prompt cache key streaming | ✅ | — | — | ✅ | — | ✅ | +| with safety identifier | ✅ | — | — | ✅ | — | ✅ | +| with safety identifier and previous response | ✅ | — | — | ✅ | — | ✅ | +| with safety identifier streaming | ✅ | — | — | ✅ | — | ✅ | +| with service tier | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier and previous response | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier auto | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier auto and previous response | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier auto streaming | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier flex | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier flex streaming | ⏭️ | — | — | ✅ | — | ⏭️ | +| with service tier streaming | ⏭️ | — | — | ✅ | — | ⏭️ | +| with small max output tokens | ✅ | — | — | ✅ | — | ⏭️ | +| with stream options and previous response | ✅ | — | — | ✅ | — | ✅ | +| with stream options includes usage | ✅ | — | — | ✅ | — | ✅ | +| with stream options non streaming | ✅ | — | — | ✅ | — | ✅ | +| with top logprobs | ✅ | — | — | ✅ | — | ✅ | +| with top logprobs and previous response | ✅ | — | — | ✅ | — | ✅ | +| with top logprobs streaming | ✅ | — | — | ✅ | — | ✅ | +| with top p | ✅ | — | — | ✅ | — | ✅ | +| with top p and previous response | ✅ | — | — | ✅ | — | ✅ | +| with top p streaming | ✅ | — | — | ✅ | — | ✅ | +| with truncation and previous response | ✅ | — | — | ✅ | — | ✅ | +| with truncation disabled | ✅ | — | — | ✅ | — | ✅ | +| with truncation disabled streaming | ✅ | — | — | ✅ | — | ✅ | ## Prompt Templates -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| basic prompt template | ✅ | ✅ | ✅ | — | ✅ | -| multi variable prompt template | ✅ | ✅ | ✅ | — | ✅ | -| multi version prompt template | ✅ | ✅ | ✅ | — | ✅ | -| prompt template no variables | ✅ | ✅ | ✅ | — | ✅ | -| prompt template with multi turn | ✅ | ✅ | ✅ | — | ✅ | -| prompt template with streaming | ✅ | ✅ | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| basic prompt template | ✅ | ✅ | — | ✅ | — | ✅ | +| multi variable prompt template | ✅ | ✅ | — | ✅ | — | ✅ | +| multi version prompt template | ✅ | ✅ | — | ✅ | — | ✅ | +| prompt template no variables | ✅ | ✅ | — | ✅ | — | ✅ | +| prompt template with multi turn | ✅ | ✅ | — | ✅ | — | ✅ | +| prompt template with streaming | ✅ | ✅ | — | ✅ | — | ✅ | ## Reasoning -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| reasoning basic streaming | ✅ | ✅ | ✅ | ✅ | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| reasoning basic streaming | ✅ | ✅ | ⏭️ | ✅ | ✅ | ✅ | +| reasoning multi turn passthrough | ⏭️ | ✅ | ✅ | ✅ | ✅ | ⏭️ | +| reasoning non streaming | ⏭️ | ✅ | ✅ | ✅ | ✅ | ⏭️ | +| reasoning unsupported provider completes without error | ⏭️ | ✅ | ⏭️ | ✅ | ✅ | ⏭️ | ## Responses Access Control -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| previous response id access control | — | — | ✅ | — | — | -| user can access own resources after denial | — | — | ✅ | — | — | -| user cannot access other users response input items | — | — | ✅ | — | — | -| user cannot delete other users response | — | — | ✅ | — | — | -| user cannot retrieve other users response | — | — | ✅ | — | — | -| users have isolated responses | — | — | ✅ | — | — | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| previous response id access control | — | — | — | ✅ | — | — | +| user can access own resources after denial | — | — | — | ✅ | — | — | +| user cannot access other users response input items | — | — | — | ✅ | — | — | +| user cannot delete other users response | — | — | — | ✅ | — | — | +| user cannot retrieve other users response | — | — | — | ✅ | — | — | +| users have isolated responses | — | — | — | ✅ | — | — | ## Responses Errors -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| completed response has no error | ✅ | ✅ | ✅ | — | ✅ | -| invalid base64 image returns image error | ✅ | ⏭️ | ✅ | — | ⏭️ | -| invalid image url returns image error | ✅ | ⏭️ | ✅ | — | ⏭️ | -| non vision model returns error for image input | ✅ | ✅ | ✅ | — | ✅ | -| non vision model with base64 image returns server error | ✅ | ✅ | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| completed response has no error | ✅ | ✅ | — | ✅ | — | ✅ | +| invalid base64 image returns image error | ✅ | ⏭️ | — | ✅ | — | ⏭️ | +| invalid image url returns image error | ✅ | ⏭️ | — | ✅ | — | ⏭️ | +| non vision model returns error for image input | ✅ | ✅ | — | ✅ | — | ✅ | +| non vision model with base64 image returns server error | ✅ | ✅ | — | ✅ | — | ✅ | ## Structured Output -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| json schema array of integers | ✅ | — | ✅ | — | ✅ | -| json schema array of objects | ✅ | — | ✅ | — | ✅ | -| json schema array of strings | ✅ | — | ✅ | — | ⏭️ | -| json schema boolean types | ✅ | — | ✅ | — | ⏭️ | -| json schema float types | ✅ | — | ✅ | — | ⏭️ | -| json schema integer types | ✅ | — | ✅ | — | ⏭️ | -| json schema mixed types structures | ✅ | — | ✅ | — | ✅ | -| json schema nested objects | ✅ | — | ✅ | — | ✅ | -| json schema string types | ✅ | — | ✅ | — | ✅ | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| json schema array of integers | ✅ | — | — | ✅ | — | ✅ | +| json schema array of objects | ✅ | — | — | ✅ | — | ✅ | +| json schema array of strings | ✅ | — | — | ✅ | — | ⏭️ | +| json schema boolean types | ✅ | — | — | ✅ | — | ⏭️ | +| json schema float types | ✅ | — | — | ✅ | — | ⏭️ | +| json schema integer types | ✅ | — | — | ✅ | — | ⏭️ | +| json schema mixed types structures | ✅ | — | — | ✅ | — | ✅ | +| json schema nested objects | ✅ | — | — | ✅ | — | ✅ | +| json schema string types | ✅ | — | — | ✅ | — | ✅ | ## Tool Responses -| Feature | azure | bedrock | openai | vllm | watsonx | -| --- | --- | --- | --- | --- | --- | -| connector resolution mcp tool | ✅ | — | ✅ | — | — | -| function call ordering 1 | ✅ | — | ✅ | — | — | -| function call ordering 2 | ✅ | — | ✅ | — | — | -| function call output list file | ✅ | — | ✅ | — | — | -| function call output list image | ✅ | — | ✅ | — | — | -| function call output list text | ✅ | — | ✅ | — | — | -| function call output list text multi block | ✅ | — | ✅ | — | — | -| max tool calls with function tools | ✅ | — | ✅ | — | — | -| max tool calls with mcp tools | ✅ | — | ✅ | — | — | -| mcp tool approval | ✅ | — | ✅ | — | — | -| multi turn streaming web search | ✅ | — | ✅ | — | — | -| non streaming custom tool | ✅ | — | ✅ | — | — | -| non streaming file search | ✅ | — | ✅ | — | — | -| non streaming file search empty vector store | ✅ | — | ✅ | — | — | -| non streaming mcp tool | ✅ | — | ✅ | — | — | -| non streaming multi turn tool execution | ✅ | — | ✅ | — | — | -| non streaming web search | ✅ | — | ✅ | — | — | -| parallel tool calls with function tools | ✅ | — | ✅ | — | — | -| parallel tool calls with mcp tools | ✅ | — | ✅ | — | — | -| sequential file search | ✅ | — | ✅ | — | — | -| sequential mcp tool | ✅ | — | ✅ | — | — | -| streaming multi turn tool execution | ✅ | — | ✅ | — | — | -| streaming web search | ✅ | — | ✅ | — | — | +| Feature | azure | bedrock | ollama | openai | vllm | watsonx | +| --- | --- | --- | --- | --- | --- | --- | +| connector resolution mcp tool | ✅ | — | — | ✅ | — | — | +| function call ordering 1 | ✅ | — | — | ✅ | — | — | +| function call ordering 2 | ✅ | — | — | ✅ | — | — | +| function call output list file | ✅ | — | — | ✅ | — | — | +| function call output list image | ✅ | — | — | ✅ | — | — | +| function call output list text | ✅ | — | — | ✅ | — | — | +| function call output list text multi block | ✅ | — | — | ✅ | — | — | +| max tool calls with function tools | ✅ | — | — | ✅ | — | — | +| max tool calls with mcp tools | ✅ | — | — | ✅ | — | — | +| mcp tool approval | ✅ | — | — | ✅ | — | — | +| multi turn streaming web search | ✅ | — | — | ✅ | — | — | +| non streaming custom tool | ✅ | — | — | ✅ | — | — | +| non streaming file search | ✅ | — | — | ✅ | — | — | +| non streaming file search empty vector store | ✅ | — | — | ✅ | — | — | +| non streaming mcp tool | ✅ | — | — | ✅ | — | — | +| non streaming multi turn tool execution | ✅ | — | — | ✅ | — | — | +| non streaming web search | ✅ | — | — | ✅ | — | — | +| parallel tool calls with function tools | ✅ | — | — | ✅ | — | — | +| parallel tool calls with mcp tools | ✅ | — | — | ✅ | — | — | +| sequential file search | ✅ | — | — | ✅ | — | — | +| sequential mcp tool | ✅ | — | — | ✅ | — | — | +| streaming multi turn tool execution | ✅ | — | — | ✅ | — | — | +| streaming web search | ✅ | — | — | ✅ | — | — | --- diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index f1ae56a67c..552a2a9cee 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -3581,6 +3581,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -3598,7 +3599,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -3750,6 +3753,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -3759,8 +3764,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -3926,6 +3932,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -3935,8 +3943,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -3965,6 +3974,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -3982,7 +3992,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) OpenAIResponsePrompt: properties: id: @@ -4233,6 +4245,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -4242,8 +4256,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -5038,6 +5053,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -5055,7 +5071,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -5088,6 +5106,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -5105,7 +5124,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -5581,6 +5602,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -5590,8 +5613,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -8137,6 +8161,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -8146,8 +8172,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Input' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Input | ... (7 variants) + title: OpenAIResponseMessage-Input | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -9231,6 +9258,64 @@ components: - text title: OpenAIResponseOutputMessageFileSearchToolCallResults description: Search results returned by the file search operation. + OpenAIResponseOutputMessageReasoningContent: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - reasoning_text + required: + - text + title: OpenAIResponseOutputMessageReasoningContent + description: Reasoning text from the model. + OpenAIResponseOutputMessageReasoningItem: + properties: + id: + type: string + title: Id + summary: + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningSummary' + type: array + title: Summary + type: + type: string + title: Type + enum: + - reasoning + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningContent' + type: array + - type: 'null' + status: + anyOf: + - type: string + - type: 'null' + required: + - id + - summary + title: OpenAIResponseOutputMessageReasoningItem + description: Reasoning output from the model, representing the model's thinking process. + OpenAIResponseOutputMessageReasoningSummary: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - summary_text + required: + - text + title: OpenAIResponseOutputMessageReasoningSummary + description: A summary of reasoning output from the model. OpenAIResponseReasoning: properties: effort: @@ -9244,6 +9329,14 @@ components: - high - xhigh - type: 'null' + summary: + anyOf: + - type: string + enum: + - auto + - concise + - detailed + - type: 'null' title: OpenAIResponseReasoning description: |- Configuration for reasoning effort in OpenAI responses. diff --git a/docs/static/experimental-llama-stack-spec.yaml b/docs/static/experimental-llama-stack-spec.yaml index 75594ef438..a54f0a5101 100644 --- a/docs/static/experimental-llama-stack-spec.yaml +++ b/docs/static/experimental-llama-stack-spec.yaml @@ -3772,6 +3772,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -3789,7 +3790,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -3941,6 +3944,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -3950,8 +3955,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -4117,6 +4123,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -4126,8 +4134,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -4156,6 +4165,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -4173,7 +4183,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) OpenAIResponsePrompt: properties: id: @@ -4414,6 +4426,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -4423,8 +4437,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -5219,6 +5234,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -5236,7 +5252,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -5269,6 +5287,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -5286,7 +5305,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -5762,6 +5783,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -5771,8 +5794,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -9108,6 +9132,64 @@ components: - text title: OpenAIResponseOutputMessageFileSearchToolCallResults description: Search results returned by the file search operation. + OpenAIResponseOutputMessageReasoningContent: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - reasoning_text + required: + - text + title: OpenAIResponseOutputMessageReasoningContent + description: Reasoning text from the model. + OpenAIResponseOutputMessageReasoningItem: + properties: + id: + type: string + title: Id + summary: + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningSummary' + type: array + title: Summary + type: + type: string + title: Type + enum: + - reasoning + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningContent' + type: array + - type: 'null' + status: + anyOf: + - type: string + - type: 'null' + required: + - id + - summary + title: OpenAIResponseOutputMessageReasoningItem + description: Reasoning output from the model, representing the model's thinking process. + OpenAIResponseOutputMessageReasoningSummary: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - summary_text + required: + - text + title: OpenAIResponseOutputMessageReasoningSummary + description: A summary of reasoning output from the model. OpenAIResponseReasoning: properties: effort: @@ -9121,6 +9203,14 @@ components: - high - xhigh - type: 'null' + summary: + anyOf: + - type: string + enum: + - auto + - concise + - detailed + - type: 'null' title: OpenAIResponseReasoning description: |- Configuration for reasoning effort in OpenAI responses. diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index a66d107695..deff0c5957 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -5810,6 +5810,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -5827,7 +5828,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -5979,6 +5982,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -5988,8 +5993,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -6155,6 +6161,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -6164,8 +6172,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -6194,6 +6203,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -6211,7 +6221,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) OpenAIResponsePrompt: properties: id: @@ -6462,6 +6474,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -6471,8 +6485,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -7267,6 +7282,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -7284,7 +7300,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -7317,6 +7335,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -7334,7 +7353,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -7810,6 +7831,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7819,8 +7842,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -10341,6 +10365,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -10350,8 +10376,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Input' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Input | ... (7 variants) + title: OpenAIResponseMessage-Input | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -11435,6 +11462,64 @@ components: - text title: OpenAIResponseOutputMessageFileSearchToolCallResults description: Search results returned by the file search operation. + OpenAIResponseOutputMessageReasoningContent: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - reasoning_text + required: + - text + title: OpenAIResponseOutputMessageReasoningContent + description: Reasoning text from the model. + OpenAIResponseOutputMessageReasoningItem: + properties: + id: + type: string + title: Id + summary: + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningSummary' + type: array + title: Summary + type: + type: string + title: Type + enum: + - reasoning + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningContent' + type: array + - type: 'null' + status: + anyOf: + - type: string + - type: 'null' + required: + - id + - summary + title: OpenAIResponseOutputMessageReasoningItem + description: Reasoning output from the model, representing the model's thinking process. + OpenAIResponseOutputMessageReasoningSummary: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - summary_text + required: + - text + title: OpenAIResponseOutputMessageReasoningSummary + description: A summary of reasoning output from the model. OpenAIResponseReasoning: properties: effort: @@ -11448,6 +11533,14 @@ components: - high - xhigh - type: 'null' + summary: + anyOf: + - type: string + enum: + - auto + - concise + - detailed + - type: 'null' title: OpenAIResponseReasoning description: |- Configuration for reasoning effort in OpenAI responses. diff --git a/docs/static/openai-coverage.json b/docs/static/openai-coverage.json index 1e5c133f09..99ac59b538 100644 --- a/docs/static/openai-coverage.json +++ b/docs/static/openai-coverage.json @@ -1847,7 +1847,7 @@ { "property": "POST.responses.200.content.application/json.properties.output.items", "details": [ - "Union variants added: 7", + "Union variants added: 8", "Union variants removed: 4" ] }, diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 495df0e0c5..c110100841 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -6925,6 +6925,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -6942,7 +6943,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -7094,6 +7097,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7103,8 +7108,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -7270,6 +7276,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7279,8 +7287,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -7309,6 +7318,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -7326,7 +7336,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) OpenAIResponsePrompt: properties: id: @@ -7577,6 +7589,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -7586,8 +7600,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) type: array title: Output parallel_tool_calls: @@ -8382,6 +8397,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -8399,7 +8415,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -8432,6 +8450,7 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' propertyName: type oneOf: @@ -8449,7 +8468,9 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest - title: OpenAIResponseMessage | ... (7 variants) + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem + title: OpenAIResponseMessage | ... (8 variants) output_index: title: Output Index type: integer @@ -8925,6 +8946,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -8934,8 +8957,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Output' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Output | ... (7 variants) + title: OpenAIResponseMessage-Output | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -11481,6 +11505,8 @@ components: title: OpenAIResponseOutputMessageMCPListTools - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' title: OpenAIResponseMCPApprovalRequest + - $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' + title: OpenAIResponseOutputMessageReasoningItem discriminator: propertyName: type mapping: @@ -11490,8 +11516,9 @@ components: mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' message: '#/components/schemas/OpenAIResponseMessage-Input' + reasoning: '#/components/schemas/OpenAIResponseOutputMessageReasoningItem' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - title: OpenAIResponseMessage-Input | ... (7 variants) + title: OpenAIResponseMessage-Input | ... (8 variants) - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' title: OpenAIResponseInputFunctionToolCallOutput - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' @@ -12573,6 +12600,64 @@ components: - text title: OpenAIResponseOutputMessageFileSearchToolCallResults description: Search results returned by the file search operation. + OpenAIResponseOutputMessageReasoningContent: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - reasoning_text + required: + - text + title: OpenAIResponseOutputMessageReasoningContent + description: Reasoning text from the model. + OpenAIResponseOutputMessageReasoningItem: + properties: + id: + type: string + title: Id + summary: + items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningSummary' + type: array + title: Summary + type: + type: string + title: Type + enum: + - reasoning + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageReasoningContent' + type: array + - type: 'null' + status: + anyOf: + - type: string + - type: 'null' + required: + - id + - summary + title: OpenAIResponseOutputMessageReasoningItem + description: Reasoning output from the model, representing the model's thinking process. + OpenAIResponseOutputMessageReasoningSummary: + properties: + text: + type: string + title: Text + type: + type: string + title: Type + enum: + - summary_text + required: + - text + title: OpenAIResponseOutputMessageReasoningSummary + description: A summary of reasoning output from the model. OpenAIResponseReasoning: properties: effort: @@ -12586,6 +12671,14 @@ components: - high - xhigh - type: 'null' + summary: + anyOf: + - type: string + enum: + - auto + - concise + - detailed + - type: 'null' title: OpenAIResponseReasoning description: |- Configuration for reasoning effort in OpenAI responses. diff --git a/src/llama_stack/core/routers/inference.py b/src/llama_stack/core/routers/inference.py index e3f14fc056..ee05e23870 100644 --- a/src/llama_stack/core/routers/inference.py +++ b/src/llama_stack/core/routers/inference.py @@ -217,6 +217,23 @@ async def openai_chat_completion( return response + async def openai_chat_completions_with_reasoning( + self, + params: OpenAIChatCompletionRequestWithExtraBody, + ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: + """Called by the Responses layer when a user requests reasoning. + + Routes to the provider's reasoning-aware CC implementation, which + handles mapping reasoning fields to/from the provider's format. + If the provider doesn't support reasoning, raises an error. + """ + provider, provider_resource_id = await self._get_model_provider(params.model, ModelType.llm) + params.model = provider_resource_id + # Not all providers implement openai_chat_completions_with_reasoning. + # the Responses layer catches them and falls back to regular CC + # with a warning. + return await provider.openai_chat_completions_with_reasoning(params) + async def openai_embeddings( self, params: Annotated[OpenAIEmbeddingsRequestWithExtraBody, Body(...)], 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..82e5fdc87f 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 @@ -644,6 +644,10 @@ async def create_openai_response( if background and store is False: raise ValueError("Cannot use 'background' with 'store=False'. Background responses must be stored.") + # Validate: reasoning.encrypted_content is not supported + if include and any(str(item) == "reasoning.encrypted_content" for item in include): + raise ValueError("reasoning.encrypted_content is not supported by Llama Stack.") + # Validate MCP tools: ensure Authorization header is not passed via headers dict if tools: from llama_stack_api.openai_responses import OpenAIResponseInputToolMCP diff --git a/src/llama_stack/providers/inline/responses/builtin/responses/streaming.py b/src/llama_stack/providers/inline/responses/builtin/responses/streaming.py index 734e1b90ac..fdc0846d67 100644 --- a/src/llama_stack/providers/inline/responses/builtin/responses/streaming.py +++ b/src/llama_stack/providers/inline/responses/builtin/responses/streaming.py @@ -84,6 +84,8 @@ OpenAIResponseOutputMessageFunctionToolCall, OpenAIResponseOutputMessageMCPCall, OpenAIResponseOutputMessageMCPListTools, + OpenAIResponseOutputMessageReasoningContent, + OpenAIResponseOutputMessageReasoningItem, OpenAIResponseOutputMessageWebSearchToolCall, OpenAIResponsePrompt, OpenAIResponseReasoning, @@ -101,7 +103,7 @@ ) from llama_stack_api.inference import ServiceTier -from .types import ChatCompletionContext, ChatCompletionResult +from .types import AssistantMessageWithReasoning, ChatCompletionContext, ChatCompletionResult from .utils import ( convert_chat_choice_to_response_message, convert_mcp_tool_choice, @@ -532,7 +534,23 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: presence_penalty=self.presence_penalty, **(self.extra_body or {}), ) - completion_result = await self.inference_api.openai_chat_completion(params) + # Use reasoning-aware method when reasoning is explicitly requested + if self.reasoning and self.reasoning.effort and self.reasoning.effort != "none": + try: + # Pass a copy — the router mutates params.model (strips provider prefix). + # Keep original params intact in-case of fallback to regular CC. + # NOTE : Is a deep-copy necessary ? + completion_result = await self.inference_api.openai_chat_completions_with_reasoning( + params.model_copy() + ) + except (NotImplementedError, AttributeError): + logger.critical( + "Provider does not support reasoning in chat completions. " + "Falling back to regular chat completion." + ) + completion_result = await self.inference_api.openai_chat_completion(params) + else: + completion_result = await self.inference_api.openai_chat_completion(params) # Process streaming chunks and build complete response completion_result_data = None @@ -541,7 +559,6 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: completion_result_data = stream_event_or_result else: yield stream_event_or_result - # If violation detected, skip the rest of processing since we already sent refusal if self.violation_detected: return @@ -560,16 +577,13 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: # Update service_tier with actual value from provider response # This is especially important when "auto" was used as input self.service_tier = completion_result_data.service_tier - current_response = self._build_chat_completion(completion_result_data) - ( function_tool_calls, non_function_tool_calls, approvals, next_turn_messages, - ) = self._separate_tool_calls(current_response, messages) - + ) = self._separate_tool_calls(current_response, messages, completion_result_data.reasoning_content) # add any approval requests required for tool_call in approvals: async for evt in self._add_mcp_approval_request( @@ -577,7 +591,23 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: ): yield evt - # Handle choices with no tool calls + # Reasoning is independent of the response type — whether the assistant + # response is a tool call or a content message, reasoning (if present) + # is added to output_messages before processing choices. + # The reasoning_content field is populated by the provider via + # openai_chat_completions_with_reasoning, which maps provider-specific + # reasoning fields to the standard reasoning_content attribute. + if completion_result_data.reasoning_content: + reasoning_item = OpenAIResponseOutputMessageReasoningItem( + id=f"rs_{uuid.uuid4().hex}", + summary=[], + content=[ + OpenAIResponseOutputMessageReasoningContent(text=completion_result_data.reasoning_content) + ], + status="completed", + ) + output_messages.append(reasoning_item) + for choice in current_response.choices: has_tool_calls = choice.message.tool_calls and self.ctx.response_tools if not has_tool_calls: @@ -588,7 +618,6 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: message_id=completion_result_data.message_item_id, ) ) - # Execute tool calls and coordinate results async for stream_event in self._coordinate_tool_execution( function_tool_calls, @@ -598,9 +627,7 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: next_turn_messages, ): yield stream_event - messages = next_turn_messages - if not function_tool_calls and not non_function_tool_calls: break @@ -673,7 +700,9 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: response=final_response, sequence_number=self.sequence_number ) - def _separate_tool_calls(self, current_response, messages) -> tuple[list, list, list, list]: + def _separate_tool_calls( + self, current_response: OpenAIChatCompletionResponseMessage, messages, reasoning_content: str | None = None + ) -> tuple[list, list, list, list]: """Separate tool calls into function and non-function categories.""" function_tool_calls = [] non_function_tool_calls = [] @@ -681,13 +710,22 @@ def _separate_tool_calls(self, current_response, messages) -> tuple[list, list, next_turn_messages = messages.copy() for choice in current_response.choices: - # Convert response message to input message format for multi-turn - next_turn_messages.append( - OpenAIAssistantMessageParam( + # Convert response message to input message format for multi-turn. + # Use AssistantMessageWithReasoning if reasoning was present in the + # CC response. Providers will be check for this AssistantMessageWithReasoning + # message + if reasoning_content: + message = AssistantMessageWithReasoning( content=choice.message.content, tool_calls=choice.message.tool_calls, + reasoning_content=reasoning_content, ) - ) + else: + message = OpenAIAssistantMessageParam( + content=choice.message.content, + tool_calls=choice.message.tool_calls, + ) + next_turn_messages.append(message) logger.debug(f"Choice message content: {choice.message.content}") logger.debug(f"Choice message tool_calls: {choice.message.tool_calls}") @@ -1003,10 +1041,12 @@ async def _process_streaming_chunks( if chunk_choice.finish_reason: chunk_finish_reason = chunk_choice.finish_reason - # Handle reasoning content if present (non-standard field for o1/o3 models) - if hasattr(chunk_choice.delta, "reasoning") and chunk_choice.delta.reasoning: + # Handle reasoning content if present. + # When openai_chat_completions_with_reasoning is used, the provider + # maps reasoning outputs it receives to the `reasoning_content` on the delta. + if getattr(chunk_choice.delta, "reasoning_content", None): async for event in self._handle_reasoning_content_chunk( - reasoning_content=chunk_choice.delta.reasoning, + reasoning_content=chunk_choice.delta.reasoning_content, reasoning_part_emitted=reasoning_part_emitted, reasoning_content_index=reasoning_content_index, message_item_id=message_item_id, @@ -1018,7 +1058,7 @@ async def _process_streaming_chunks( else: yield event reasoning_part_emitted = True - reasoning_text_accumulated.append(chunk_choice.delta.reasoning) + reasoning_text_accumulated.append(chunk_choice.delta.reasoning_content) # Handle refusal content if present if chunk_choice.delta.refusal: @@ -1226,6 +1266,7 @@ async def _process_streaming_chunks( content_part_emitted=content_part_emitted, logprobs=OpenAIChoiceLogprobs(content=chat_response_logprobs) if chat_response_logprobs else None, service_tier=chunk_service_tier, + reasoning_content="".join(reasoning_text_accumulated) if reasoning_text_accumulated else None, ) def _build_chat_completion(self, result: ChatCompletionResult) -> OpenAIChatCompletion: diff --git a/src/llama_stack/providers/inline/responses/builtin/responses/types.py b/src/llama_stack/providers/inline/responses/builtin/responses/types.py index 83ae4a7bf4..f81fd9a761 100644 --- a/src/llama_stack/providers/inline/responses/builtin/responses/types.py +++ b/src/llama_stack/providers/inline/responses/builtin/responses/types.py @@ -12,6 +12,7 @@ from pydantic import BaseModel from llama_stack_api import ( + OpenAIAssistantMessageParam, OpenAIChatCompletionToolCall, OpenAIFinishReason, OpenAIMessageParam, @@ -35,6 +36,18 @@ ) +class AssistantMessageWithReasoning(OpenAIAssistantMessageParam): + """Internal type for passing reasoning content between the Responses + layer and providers. NOT part of the public API. + + The Responses layer creates this when converting input ReasoningItems + to CC messages. Providers check isinstance(msg, AssistantMessageWithReasoning) + and map reasoning_content to their own CC format (e.g. 'reasoning' for Ollama/vLLM). + """ + + reasoning_content: str | None = None + + def _json_equal(a: str, b: str) -> bool: """Compare two JSON strings by value, falling back to string comparison.""" try: @@ -68,6 +81,7 @@ class ChatCompletionResult: content_part_emitted: bool # Tracking state logprobs: list[OpenAITokenLogProb] | None = None service_tier: str | None = None # The actual service tier used (may differ from input) + reasoning_content: str | None = None @property def content_text(self) -> 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..be9134fd23 100644 --- a/src/llama_stack/providers/inline/responses/builtin/responses/utils.py +++ b/src/llama_stack/providers/inline/responses/builtin/responses/utils.py @@ -11,6 +11,7 @@ import uuid from collections.abc import Sequence +from llama_stack.providers.inline.responses.builtin.responses.types import AssistantMessageWithReasoning from llama_stack_api import ( Files, OpenAIAssistantMessageParam, @@ -47,6 +48,7 @@ OpenAIResponseOutputMessageFunctionToolCall, OpenAIResponseOutputMessageMCPCall, OpenAIResponseOutputMessageMCPListTools, + OpenAIResponseOutputMessageReasoningItem, OpenAIResponseOutputMessageWebSearchToolCall, OpenAIResponseText, OpenAISystemMessageParam, @@ -301,10 +303,13 @@ async def convert_response_input_to_chat_messages( if isinstance(input_item, OpenAIResponseInputFunctionToolCallOutput): tool_call_results[input_item.call_id] = await _build_tool_result_messages(input_item, files_api) - for input_item in input: + for i, input_item in enumerate(input): if isinstance(input_item, OpenAIResponseInputFunctionToolCallOutput): # skip as these have been extracted and inserted in order pass + elif isinstance(input_item, OpenAIResponseOutputMessageReasoningItem): + # skip — reasoning items are consumed by the next assistant message via look-back + pass elif isinstance(input_item, OpenAIResponseOutputMessageFunctionToolCall): tool_call = OpenAIChatCompletionToolCall( index=0, @@ -314,7 +319,12 @@ async def convert_response_input_to_chat_messages( arguments=input_item.arguments, ), ) - messages.append(OpenAIAssistantMessageParam(tool_calls=[tool_call])) + reasoning = _get_preceding_reasoning(input, i) + if reasoning: + msg = AssistantMessageWithReasoning(tool_calls=[tool_call], reasoning_content=reasoning) + else: + msg = OpenAIAssistantMessageParam(tool_calls=[tool_call]) + messages.append(msg) if input_item.call_id in tool_call_results: messages.extend(tool_call_results[input_item.call_id]) del tool_call_results[input_item.call_id] @@ -327,7 +337,12 @@ async def convert_response_input_to_chat_messages( arguments=input_item.arguments, ), ) - messages.append(OpenAIAssistantMessageParam(tool_calls=[tool_call])) + reasoning = _get_preceding_reasoning(input, i) + if reasoning: + msg = AssistantMessageWithReasoning(tool_calls=[tool_call], reasoning_content=reasoning) + else: + msg = OpenAIAssistantMessageParam(tool_calls=[tool_call]) + messages.append(msg) # Output can be None, use empty string as fallback output_content = input_item.output if input_item.output is not None else "" messages.append( @@ -370,6 +385,12 @@ async def convert_response_input_to_chat_messages( last_user_content = getattr(last_user_msg, "content", None) if last_user_content == content: continue # Skip duplicate user message + # Attach preceding reasoning to assistant messages + if input_item.role == "assistant": + reasoning = _get_preceding_reasoning(input, i) + if reasoning: + messages.append(AssistantMessageWithReasoning(content=content, reasoning_content=reasoning)) + continue # Dynamic message type call - different message types have different content expectations messages.append(message_type(content=content)) # type: ignore[call-arg,arg-type] if len(tool_call_results): @@ -406,6 +427,16 @@ def _extract_tool_call_ids(messages: list[OpenAIMessageParam]) -> set[str]: return call_ids +def _get_preceding_reasoning(input_items: list[OpenAIResponseInput], index: int) -> str | None: + """If the item immediately before current index is a reasoning item, return its text.""" + if index > 0 and isinstance(input_items[index - 1], OpenAIResponseOutputMessageReasoningItem): + item = input_items[index - 1] + # Use content to extract reasoning + if item.content: + return " ".join(c.text for c in item.content) + return None + + async def convert_response_text_to_chat_response_format( text: OpenAIResponseText, ) -> OpenAIResponseFormatParam: diff --git a/src/llama_stack/providers/remote/inference/bedrock/bedrock.py b/src/llama_stack/providers/remote/inference/bedrock/bedrock.py index dee591defc..2b4de47408 100644 --- a/src/llama_stack/providers/remote/inference/bedrock/bedrock.py +++ b/src/llama_stack/providers/remote/inference/bedrock/bedrock.py @@ -9,6 +9,7 @@ from openai import AuthenticationError from llama_stack.log import get_logger +from llama_stack.providers.inline.responses.builtin.responses.types import AssistantMessageWithReasoning from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin from llama_stack_api import ( OpenAIChatCompletion, @@ -60,6 +61,57 @@ async def openai_completion( "See https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html" ) + def _prepare_reasoning_params(self, params: OpenAIChatCompletionRequestWithExtraBody) -> None: + """Adapt CC request params to match what Bedrock expects for reasoning. + + No-op for now. Override if Bedrock needs specific param adjustments. + """ + pass + + async def openai_chat_completions_with_reasoning( + self, + params: OpenAIChatCompletionRequestWithExtraBody, + ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: + """Chat completion with reasoning support for Bedrock. + + Maps reasoning fields between LlamaStack's internal format + (reasoning_content) and whatever field name Bedrock's CC endpoint + expects/returns. Update the mapping below if Bedrock changes + its reasoning field name. + """ + params = params.model_copy() + + # Adapt CC request params to Bedrock's reasoning format + self._prepare_reasoning_params(params) + + # Populate Bedrock's expected reasoning field on assistant messages + for msg in params.messages: + if isinstance(msg, AssistantMessageWithReasoning) and msg.reasoning_content: + msg.reasoning = msg.reasoning_content + msg.reasoning_content = None + + result = await self.openai_chat_completion(params) + + # After receiving chunks: extract reasoning from whichever field + # Bedrock used, and set it as reasoning_content for the Responses layer + if params.stream: + + async def _map_reasoning(): + async for chunk in result: + for choice in chunk.choices or []: + reasoning = getattr(choice.delta, "reasoning", None) or getattr( + choice.delta, "reasoning_content", None + ) + if reasoning: + choice.delta.reasoning_content = reasoning + yield chunk + + return _map_reasoning() + else: + # Non-streaming reasoning is not tested — the Responses + # layer always uses stream=True (streaming.py:518). + raise NotImplementedError("Non-streaming reasoning is not yet supported for Bedrock") + async def openai_chat_completion( self, params: OpenAIChatCompletionRequestWithExtraBody, diff --git a/src/llama_stack/providers/remote/inference/ollama/ollama.py b/src/llama_stack/providers/remote/inference/ollama/ollama.py index 72b4a0adea..b80fa25997 100644 --- a/src/llama_stack/providers/remote/inference/ollama/ollama.py +++ b/src/llama_stack/providers/remote/inference/ollama/ollama.py @@ -6,16 +6,21 @@ import asyncio +from collections.abc import AsyncIterator from ollama import AsyncClient as AsyncOllamaClient from llama_stack.log import get_logger +from llama_stack.providers.inline.responses.builtin.responses.types import AssistantMessageWithReasoning from llama_stack.providers.remote.inference.ollama.config import OllamaImplConfig from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin from llama_stack_api import ( HealthResponse, HealthStatus, Model, + OpenAIChatCompletion, + OpenAIChatCompletionChunk, + OpenAIChatCompletionRequestWithExtraBody, UnsupportedModelError, ) @@ -72,6 +77,63 @@ def get_api_key(self): def get_base_url(self): return str(self.config.base_url) + def _prepare_reasoning_params(self, params: OpenAIChatCompletionRequestWithExtraBody) -> None: + """Adapt CC request params to match what Ollama expects for reasoning. + + Each provider may need different param adjustments. For Ollama: + - If reasoning_effort is not set, default to "none" so Ollama + doesn't apply its own default (medium). + + Override this in other providers if they need different mapping, + e.g. converting effort levels to boolean flags. + """ + if params.reasoning_effort is None: + params.reasoning_effort = "none" + + async def openai_chat_completions_with_reasoning( + self, + params: OpenAIChatCompletionRequestWithExtraBody, + ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: + """Chat completion with reasoning support for Ollama. + + Maps reasoning fields between LlamaStack's internal format + (reasoning_content) and whatever field name Ollama's CC endpoint + expects/returns. Update the mapping below if Ollama changes + its reasoning field name. + """ + params = params.model_copy() + + # Adapt CC request params to Ollama's reasoning format + self._prepare_reasoning_params(params) + + # Populate Ollama's expected reasoning field on assistant messages + for msg in params.messages: + if isinstance(msg, AssistantMessageWithReasoning) and msg.reasoning_content: + msg.reasoning = msg.reasoning_content + msg.reasoning_content = None + + result = await self.openai_chat_completion(params) + + # After receiving chunks: extract reasoning from whichever field + # Ollama used, and set it as reasoning_content for the Responses layer + if params.stream: + + async def _map_reasoning(): + async for chunk in result: + for choice in chunk.choices or []: + reasoning = getattr(choice.delta, "reasoning", None) or getattr( + choice.delta, "reasoning_content", None + ) + if reasoning: + choice.delta.reasoning_content = reasoning + yield chunk + + return _map_reasoning() + else: + # Non-streaming reasoning is not tested — the Responses + # layer always uses stream=True (streaming.py:518). + raise NotImplementedError("Non-streaming reasoning is not yet supported for Ollama") + async def initialize(self) -> None: logger.info(f"checking connectivity to Ollama at `{self.config.base_url}`...") r = await self.health() diff --git a/src/llama_stack/providers/remote/inference/openai/openai.py b/src/llama_stack/providers/remote/inference/openai/openai.py index d8f67f4033..a9213e1784 100644 --- a/src/llama_stack/providers/remote/inference/openai/openai.py +++ b/src/llama_stack/providers/remote/inference/openai/openai.py @@ -31,6 +31,12 @@ class OpenAIInferenceAdapter(OpenAIMixin): "text-embedding-3-large": {"embedding_dimension": 3072, "context_length": 8192}, } + async def openai_chat_completions_with_reasoning(self, params): + raise NotImplementedError( + "OpenAI provider does not support reasoning via chat completions. " + "OpenAI reasoning is only available through their native Responses API." + ) + def get_base_url(self) -> str: """ Get the OpenAI API base URL. diff --git a/src/llama_stack/providers/remote/inference/vllm/vllm.py b/src/llama_stack/providers/remote/inference/vllm/vllm.py index 39d0c2d030..2b42fd48ec 100644 --- a/src/llama_stack/providers/remote/inference/vllm/vllm.py +++ b/src/llama_stack/providers/remote/inference/vllm/vllm.py @@ -13,6 +13,7 @@ from pydantic import ConfigDict from llama_stack.log import get_logger +from llama_stack.providers.inline.responses.builtin.responses.types import AssistantMessageWithReasoning from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin from llama_stack_api import ( HealthResponse, @@ -116,6 +117,58 @@ async def openai_chat_completion( return await super().openai_chat_completion(params) + def _prepare_reasoning_params(self, params: OpenAIChatCompletionRequestWithExtraBody) -> None: + """Adapt CC request params to match what vLLM expects for reasoning. + + No-op for now. Override if vLLM needs specific param adjustments, + e.g. mapping effort levels or moving params to extra_body. + """ + pass + + async def openai_chat_completions_with_reasoning( + self, + params: OpenAIChatCompletionRequestWithExtraBody, + ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: + """Chat completion with reasoning support for vLLM. + + Maps reasoning fields between LlamaStack's internal format + (reasoning_content) and whatever field name vLLM's CC endpoint + expects/returns. Update the mapping below if vLLM changes + its reasoning field name. + """ + params = params.model_copy() + + # Adapt CC request params to vLLM's reasoning format + self._prepare_reasoning_params(params) + + # Populate vLLM's expected reasoning field on assistant messages + for msg in params.messages: + if isinstance(msg, AssistantMessageWithReasoning) and msg.reasoning_content: + msg.reasoning = msg.reasoning_content + msg.reasoning_content = None + + result = await self.openai_chat_completion(params) + + # After receiving chunks: extract reasoning from whichever field + # vLLM used, and set it as reasoning_content for the Responses layer + if params.stream: + + async def _map_reasoning(): + async for chunk in result: + for choice in chunk.choices or []: + reasoning = getattr(choice.delta, "reasoning", None) or getattr( + choice.delta, "reasoning_content", None + ) + if reasoning: + choice.delta.reasoning_content = reasoning + yield chunk + + return _map_reasoning() + else: + # Non-streaming reasoning is not tested — the Responses + # layer always uses stream=True (streaming.py:518). + raise NotImplementedError("Non-streaming reasoning is not yet supported for vLLM") + def construct_model_from_identifier(self, identifier: str) -> Model: # vLLM's /v1/models response does not expose a model task/type field, so classify by name. if "embed" in identifier.lower(): diff --git a/src/llama_stack_api/__init__.py b/src/llama_stack_api/__init__.py index 3566ebb0fd..32e08b6239 100644 --- a/src/llama_stack_api/__init__.py +++ b/src/llama_stack_api/__init__.py @@ -421,6 +421,9 @@ OpenAIResponseOutputMessageFunctionToolCall, OpenAIResponseOutputMessageMCPCall, OpenAIResponseOutputMessageMCPListTools, + OpenAIResponseOutputMessageReasoningContent, + OpenAIResponseOutputMessageReasoningItem, + OpenAIResponseOutputMessageReasoningSummary, OpenAIResponseOutputMessageWebSearchToolCall, OpenAIResponsePrompt, OpenAIResponseReasoning, @@ -934,6 +937,9 @@ "OpenAIResponseOutputMessageFunctionToolCall", "OpenAIResponseOutputMessageMCPCall", "OpenAIResponseOutputMessageMCPListTools", + "OpenAIResponseOutputMessageReasoningContent", + "OpenAIResponseOutputMessageReasoningItem", + "OpenAIResponseOutputMessageReasoningSummary", "OpenAIResponseOutputMessageWebSearchToolCall", "OpenAIResponsePrompt", "OpenAIResponseReasoning", diff --git a/src/llama_stack_api/inference/api.py b/src/llama_stack_api/inference/api.py index 5024bd8b3f..a4fdf27544 100644 --- a/src/llama_stack_api/inference/api.py +++ b/src/llama_stack_api/inference/api.py @@ -64,6 +64,22 @@ async def openai_chat_completion( """Generate an OpenAI-compatible chat completion for the given messages using the specified model.""" ... + async def openai_chat_completions_with_reasoning( + self, + params: OpenAIChatCompletionRequestWithExtraBody, + ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: + """Chat completion with reasoning token extraction. + + Internal method used by the Responses implementation when reasoning + is requested. Providers that support reasoning models should override + this to ensure reasoning tokens are available on the chunk delta's + reasoning_content field (streaming) or response message (non-streaming). + + Default raises NotImplementedError so unsupported providers fail + loudly instead of silently returning no reasoning. + """ + raise NotImplementedError(f"{self.__class__.__name__} does not support reasoning in chat completions") + async def openai_embeddings( self, params: OpenAIEmbeddingsRequestWithExtraBody, diff --git a/src/llama_stack_api/openai_responses.py b/src/llama_stack_api/openai_responses.py index c5ce42d940..19e325d861 100644 --- a/src/llama_stack_api/openai_responses.py +++ b/src/llama_stack_api/openai_responses.py @@ -367,6 +367,33 @@ class OpenAIResponseMCPApprovalResponse(BaseModel): reason: str | None = None +@json_schema_type +class OpenAIResponseOutputMessageReasoningSummary(BaseModel): + """A summary of reasoning output from the model.""" + + text: str + type: Literal["summary_text"] = "summary_text" + + +@json_schema_type +class OpenAIResponseOutputMessageReasoningContent(BaseModel): + """Reasoning text from the model.""" + + text: str + type: Literal["reasoning_text"] = "reasoning_text" + + +@json_schema_type +class OpenAIResponseOutputMessageReasoningItem(BaseModel): + """Reasoning output from the model, representing the model's thinking process.""" + + id: str + summary: list[OpenAIResponseOutputMessageReasoningSummary] + type: Literal["reasoning"] = "reasoning" + content: list[OpenAIResponseOutputMessageReasoningContent] | None = None + status: str | None = None + + OpenAIResponseOutput = Annotated[ OpenAIResponseMessage | OpenAIResponseOutputMessageWebSearchToolCall @@ -374,7 +401,8 @@ class OpenAIResponseMCPApprovalResponse(BaseModel): | OpenAIResponseOutputMessageFunctionToolCall | OpenAIResponseOutputMessageMCPCall | OpenAIResponseOutputMessageMCPListTools - | OpenAIResponseMCPApprovalRequest, + | OpenAIResponseMCPApprovalRequest + | OpenAIResponseOutputMessageReasoningItem, Field(discriminator="type"), ] register_schema(OpenAIResponseOutput, name="OpenAIResponseOutput") @@ -422,6 +450,7 @@ class OpenAIResponseReasoning(BaseModel): """ effort: Literal["none", "minimal", "low", "medium", "high", "xhigh"] | None = None + summary: Literal["auto", "concise", "detailed"] | None = None # Must match type Literals of OpenAIResponseInputToolWebSearch below diff --git a/tests/integration/common/recordings/02c93bb3c314427bae2b7a7a6f054792b9f22d2cb4522eab802810be8672d3dc.json b/tests/integration/common/recordings/02c93bb3c314427bae2b7a7a6f054792b9f22d2cb4522eab802810be8672d3dc.json index 2b2afeee42..407c13a86b 100644 --- a/tests/integration/common/recordings/02c93bb3c314427bae2b7a7a6f054792b9f22d2cb4522eab802810be8672d3dc.json +++ b/tests/integration/common/recordings/02c93bb3c314427bae2b7a7a6f054792b9f22d2cb4522eab802810be8672d3dc.json @@ -6,7 +6,10 @@ "headers": {}, "body": {}, "endpoint": "/api/ps", - "model": "" + 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a/tests/integration/inference/recordings/27626d79a55535527b7d7ef07f3da44a52de3d7d2e56297491d1a62ede6d48c5.json +++ b/tests/integration/inference/recordings/27626d79a55535527b7d7ef07f3da44a52de3d7d2e56297491d1a62ede6d48c5.json @@ -18,7 +18,10 @@ ] }, "endpoint": "/v1/chat/completions", - "model": "gpt-oss:20b" + "model": "gpt-oss:20b", + "provider_metadata": { + "openai_sdk_version": "2.5.0" + } }, "response": { "body": { @@ -31,14 +34,14 @@ "index": 0, "logprobs": null, "message": { - "content": "Sure! Let\u2019s break it down step\u2011by\u2011step:\n\n1. **Identify the numbers to add** \n The problem is to add the two numbers: **2** and **2**.\n\n2. **Understand the addition operation** \n The plus sign \u201c+\u201d means we need to combine (sum) the two numbers.\n\n3. **Perform the addition** \n - Start with the first number: 2 \n - Add the second number: 2 \n - 2 + 2 = 4\n\n4. **State the result** \n The sum of 2 and 2 is **4**.\n\nSo, **2 + 2 = 4**.", + "content": "Sure! Let\u2019s work it out step by step.\n\n### Step 1: Identify the numbers \nWe have two numbers to add:\n- 2\n- 2\n\n### Step 2: Set up the addition\nWrite the numbers in column form (though with single\u2011digit numbers we can just add them directly):\n\n```\n 2\n+ 2\n----\n```\n\n### Step 3: Add the units column \nAdd the digits in the units place:\n- 2 (from the first number) + 2 (from the second number) = 4\n\n### Step 4: Write the result \nThe sum of the units column is 4, and since there\u2019s no higher place value involved, the final answer is:\n\n```\n 4\n```\n\n### Final Answer \n2\u202f+\u202f2\u202f=\u202f**4**\n\nThat\u2019s all there is to it\u2014just a simple single\u2011digit addition!", "refusal": null, "role": "assistant", "annotations": null, "audio": null, "function_call": null, "tool_calls": null, - "reasoning": "We need to answer: 2+2. Step by step. Provide explanation. It's a very simple math. Also need to follow instructions: The user says \"What is 2+2? Think step by step.\" So presumably respond with step-by-step reasoning. And we can mention that 2+2 equals 4. Provide steps: 2+2 =? Add them. So answer: 4. Also maybe show intermediate logic: 2+2.\n\nWe should comply with openAI policy. No problem. Provide answer. Use simple language. Probably just do it. Provide final." + "reasoning": "We need to answer: \"What is 2+2? Think step by step.\" So we should explain the addition operation step by step. Also maybe provide the answer. The user said \"What is 2+2? Think step by step.\" So we answer accordingly, step-by-step reasoning, giving the result. Also maybe mention place value, etc. No policy issues. Use math. Provide explanation." } } ], @@ -48,9 +51,9 @@ "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 275, + "completion_tokens": 284, "prompt_tokens": 93, - "total_tokens": 368, + "total_tokens": 377, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/inference/recordings/cc7128cf3c88faebc0713764504913d494858b16d5bcdc23a384420fb6750543.json b/tests/integration/inference/recordings/cc7128cf3c88faebc0713764504913d494858b16d5bcdc23a384420fb6750543.json new file mode 100644 index 0000000000..3e4879bd63 --- /dev/null +++ b/tests/integration/inference/recordings/cc7128cf3c88faebc0713764504913d494858b16d5bcdc23a384420fb6750543.json @@ -0,0 +1,74 @@ +{ + "test_id": "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_reasoning_passthrough[txt=ollama/gpt-oss:20b]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "gpt-oss:20b", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant." + }, + { + "role": "user", + "content": "What is 2+2? Think step by step." + }, + { + "role": "assistant", + "content": "Sure! Let\u2019s work it out step by step.\n\n### Step 1: Identify the numbers \nWe have two numbers to add:\n- 2\n- 2\n\n### Step 2: Set up the addition\nWrite the numbers in column form (though with single\u2011digit numbers we can just add them directly):\n\n```\n 2\n+ 2\n----\n```\n\n### Step 3: Add the units column \nAdd the digits in the units place:\n- 2 (from the first number) + 2 (from the second number) = 4\n\n### Step 4: Write the result \nThe sum of the units column is 4, and since there\u2019s no higher place value involved, the final answer is:\n\n```\n 4\n```\n\n### Final Answer \n2\u202f+\u202f2\u202f=\u202f**4**\n\nThat\u2019s all there is to it\u2014just a simple single\u2011digit addition!", + "reasoning": "We need to answer: \"What is 2+2? Think step by step.\" So we should explain the addition operation step by step. Also maybe provide the answer. The user said \"What is 2+2? Think step by step.\" So we answer accordingly, step-by-step reasoning, giving the result. Also maybe mention place value, etc. No policy issues. Use math. Provide explanation." + }, + { + "role": "user", + "content": "Now multiply that result by 3." + } + ] + }, + "endpoint": "/v1/chat/completions", + "model": "gpt-oss:20b", + "provider_metadata": { + "openai_sdk_version": "2.5.0" + } + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-cc7128cf3c88", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "Great! Let\u2019s multiply the number we just found (4) by 3, step by step.\n\n### Step 1: Identify the numbers \n- Number to multiply: **4** \n- Multiplier: **3**\n\n### Step 2: Set up the multiplication\nWe\u2019ll write it as a standard multiplication problem:\n\n```\n 4\n\u00d7 3\n----\n```\n\n### Step 3: Multiply the digits \nSince we\u2019re dealing with single\u2011digit numbers, we can multiply directly:\n\n- \\(4 \\times 3 = 12\\)\n\n### Step 4: Write the result \nWe place the product in the row:\n\n```\n 4\n\u00d7 3\n----\n 12\n```\n\n### Final Answer \n\\(4 \\times 3 = \\boxed{12}\\)\n\nSo, after multiplying our previous result (4) by 3, we get 12.", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null, + "reasoning": "We need to multiply 4 by 3 step by step. 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"object": "model", + "owned_by": "openai-internal" + } + } + ], + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/recordings/models-fa62a0c82d3e47a345f18f5e0a878b40d32a7e639a5f9794519c9a7ca55866da-fb68f5a6.json b/tests/integration/responses/recordings/models-fa62a0c82d3e47a345f18f5e0a878b40d32a7e639a5f9794519c9a7ca55866da-fb68f5a6.json new file mode 100644 index 0000000000..35b0398dde --- /dev/null +++ b/tests/integration/responses/recordings/models-fa62a0c82d3e47a345f18f5e0a878b40d32a7e639a5f9794519c9a7ca55866da-fb68f5a6.json @@ -0,0 +1,49 @@ +{ + "test_id": "tests/integration/responses/test_reasoning.py::test_reasoning_unsupported_provider_completes_without_error[txt=vllm/Qwen/Qwen3-0.6B]", + "request": { + "method": "POST", + "url": "http://localhost:8000/v1/v1/models", + "headers": {}, + "body": {}, + "endpoint": "/v1/models", + "model": "", + "provider_metadata": { + "openai_sdk_version": "2.5.0", + "vllm_server_version": "0.18.1rc1.dev197+g0e9358c11" + } + }, + "response": { + "body": [ + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "Qwen/Qwen3-0.6B", + "created": 1774650285, + "object": "model", + "owned_by": "vllm", + "root": "Qwen/Qwen3-0.6B", + "parent": null, + "max_model_len": 8192, + "permission": [ + { + "id": "modelperm-be489fef7710f6bf", + "object": "model_permission", + "created": 1774650285, + "allow_create_engine": false, + "allow_sampling": true, + "allow_logprobs": true, + "allow_search_indices": false, + "allow_view": true, + "allow_fine_tuning": false, + "organization": "*", + "group": null, + "is_blocking": false + } + ] + } + } + ], + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/responses/test_reasoning.py b/tests/integration/responses/test_reasoning.py index a658da7e82..8c929afaeb 100644 --- a/tests/integration/responses/test_reasoning.py +++ b/tests/integration/responses/test_reasoning.py @@ -9,6 +9,15 @@ from .streaming_assertions import StreamingValidator +def _get_attr(item, key, default=None): + """Get attribute from typed object or dict — works with both + the current LlamaStack client (returns dicts) and OpenAI client + (returns typed objects).""" + if isinstance(item, dict): + return item.get(key, default) + return getattr(item, key, default) + + def provider_from_model(client_with_models, text_model_id): models = {m.id: m for m in client_with_models.models.list()} models.update( @@ -30,13 +39,14 @@ def test_reasoning_basic_streaming(client_with_models, text_model_id): skip_if_reasoning_content_not_provided(client_with_models, text_model_id) - input = "What is 2 + 2?" + input = "What is 2 + 2? Think Step by Step !" # Create a streaming response using a reasoning model stream = client_with_models.responses.create( model=text_model_id, input=input, stream=True, + reasoning={"effort": "high"}, ) chunks = [] @@ -65,3 +75,70 @@ def test_reasoning_basic_streaming(client_with_models, text_model_id): assert hasattr(reasoning_text_done_events[-1], "text"), "Reasoning done event should have text field" assert len(reasoning_text_done_events[-1].text) > 0, "Reasoning text should not be empty" + + +def test_reasoning_non_streaming(client_with_models, text_model_id): + """Test that ReasoningItem appears in non-streaming response output.""" + + skip_if_reasoning_content_not_provided(client_with_models, text_model_id) + + response = client_with_models.responses.create( + model=text_model_id, + input="What is 2 + 2? Think step by step.", + reasoning={"effort": "medium"}, + stream=False, + ) + + output_types = [_get_attr(item, "type") for item in response.output] + reasoning_items = [item for item in response.output if _get_attr(item, "type") == "reasoning"] + + assert len(reasoning_items) > 0, f"Expected reasoning items in output, got types: {output_types}" + + reasoning_item = reasoning_items[0] + assert _get_attr(reasoning_item, "id"), "Reasoning item should have an id" + content = _get_attr(reasoning_item, "content") + assert content is not None, "Reasoning item should have content" + assert len(content) > 0, "Reasoning item should have at least one content entry" + assert _get_attr(content[0], "type") == "reasoning_text" + assert len(_get_attr(content[0], "text", "")) > 0, "Reasoning content text should not be empty" + + +def test_reasoning_multi_turn_passthrough(client_with_models, text_model_id): + """Test that reasoning output survives a round-trip when passed back as input. + + Turn 1: send a prompt, assert ReasoningItem in output. + Turn 2: pass the full output (including reasoning) back as input with + a follow-up question, assert the model responds coherently. + """ + + skip_if_reasoning_content_not_provided(client_with_models, text_model_id) + + # Turn 1 + input_messages = [ + {"role": "user", "content": "What is 2 + 2? Think step by step."}, + ] + resp1 = client_with_models.responses.create( + model=text_model_id, + input=input_messages, + reasoning={"effort": "medium"}, + stream=False, + ) + + output_types = [_get_attr(item, "type") for item in resp1.output] + reasoning_items = [item for item in resp1.output if _get_attr(item, "type") == "reasoning"] + assert len(reasoning_items) > 0, f"Expected reasoning items in turn 1, got types: {output_types}" + + # Turn 2: pass previous output back as input with a follow-up + turn2_input = list(input_messages) + list(resp1.output) + turn2_input.append({"role": "user", "content": "Now multiply that result by 3."}) + + resp2 = client_with_models.responses.create( + model=text_model_id, + input=turn2_input, + reasoning={"effort": "medium"}, + stream=False, + ) + + assert resp2.output, "Expected non-empty output in turn 2" + message_items = [item for item in resp2.output if _get_attr(item, "type") == "message"] + assert len(message_items) > 0, "Expected a message in turn 2 output" diff --git a/tests/integration/suites.py b/tests/integration/suites.py index 7c4ecf5e2a..3e7e91c682 100644 --- a/tests/integration/suites.py +++ b/tests/integration/suites.py @@ -278,6 +278,8 @@ class Setup(BaseModel): name="ollama-reasoning", roots=[ "tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_reasoning_passthrough", + "tests/integration/responses/test_reasoning.py::test_reasoning_non_streaming", + "tests/integration/responses/test_reasoning.py::test_reasoning_multi_turn_passthrough", ], default_setup="ollama-reasoning", ), diff --git a/tests/unit/providers/responses/builtin/test_openai_responses.py b/tests/unit/providers/responses/builtin/test_openai_responses.py index 979ae114e1..7fbd6c950c 100644 --- a/tests/unit/providers/responses/builtin/test_openai_responses.py +++ b/tests/unit/providers/responses/builtin/test_openai_responses.py @@ -73,6 +73,7 @@ OpenAIResponseOutputMessageMCPCall, OpenAIResponseOutputMessageWebSearchToolCall, OpenAIResponsePrompt, + OpenAIResponseReasoning, OpenAIResponseText, OpenAIResponseTextFormat, WebSearchToolTypes, @@ -3224,3 +3225,113 @@ async def test_create_openai_response_with_empty_stream_options(openai_responses assert params.stream_options is not None assert params.stream_options["include_usage"] is True assert params.stream_options["include_obfuscation"] is True + + +async def test_create_openai_response_rejects_encrypted_content_in_include(openai_responses_impl): + """reasoning.encrypted_content in include should return 400.""" + with pytest.raises(ValueError, match="reasoning.encrypted_content is not supported"): + await openai_responses_impl.create_openai_response( + input="Hello", + model="meta-llama/Llama-3.1-8B-Instruct", + include=["reasoning.encrypted_content"], + ) + + +async def test_create_openai_response_reasoning_effort_none_skips_reasoning_path( + openai_responses_impl, mock_inference_api, mock_responses_store +): + """reasoning={effort:'none'} should use regular CC, not the reasoning path.""" + input_text = "Hello" + model = "meta-llama/Llama-3.1-8B-Instruct" + + async def fake_stream(): + yield ChatCompletionChunk( + id="chunk-1", + choices=[Choice(delta=ChoiceDelta(content="Hi"), index=0, finish_reason="stop")], + created=1, + model=model, + object="chat.completion.chunk", + ) + + mock_inference_api.openai_chat_completion.return_value = fake_stream() + + await openai_responses_impl.create_openai_response( + input=input_text, + model=model, + reasoning=OpenAIResponseReasoning(effort="none"), + stream=False, + ) + + # Should call regular openai_chat_completion, not openai_chat_completions_with_reasoning + mock_inference_api.openai_chat_completion.assert_called() + mock_inference_api.openai_chat_completions_with_reasoning.assert_not_called() + + +async def test_create_openai_response_reasoning_with_supported_provider( + openai_responses_impl, mock_inference_api, mock_responses_store +): + """When reasoning is requested and provider supports it, use the reasoning path.""" + input_text = "Hello" + model = "meta-llama/Llama-3.1-8B-Instruct" + + async def fake_stream(): + yield ChatCompletionChunk( + id="chunk-1", + choices=[Choice(delta=ChoiceDelta(content="Hi"), index=0, finish_reason="stop")], + created=1, + model=model, + object="chat.completion.chunk", + ) + + mock_inference_api.openai_chat_completions_with_reasoning.return_value = fake_stream() + + await openai_responses_impl.create_openai_response( + input=input_text, + model=model, + reasoning=OpenAIResponseReasoning(effort="medium"), + stream=False, + ) + + # Should call reasoning path, not regular CC + mock_inference_api.openai_chat_completions_with_reasoning.assert_called() + mock_inference_api.openai_chat_completion.assert_not_called() + + +async def test_create_openai_response_reasoning_with_unsupported_provider_falls_back( + openai_responses_impl, mock_inference_api, mock_responses_store +): + """When reasoning is requested but provider doesn't support it, fall back to regular CC. + + The router catches NotImplementedError/AttributeError from unsupported providers + and falls back to regular openai_chat_completion with a critical warning. + Simulated here by having the mock raise NotImplementedError. + """ + input_text = "Hello" + model = "meta-llama/Llama-3.1-8B-Instruct" + + async def fake_stream(): + yield ChatCompletionChunk( + id="chunk-1", + choices=[Choice(delta=ChoiceDelta(content="Hi"), index=0, finish_reason="stop")], + created=1, + model=model, + object="chat.completion.chunk", + ) + + # Provider doesn't support reasoning — raises NotImplementedError + mock_inference_api.openai_chat_completions_with_reasoning.side_effect = NotImplementedError( + "This provider does not support reasoning" + ) + # Fallback to regular CC should work + mock_inference_api.openai_chat_completion.return_value = fake_stream() + + await openai_responses_impl.create_openai_response( + input=input_text, + model=model, + reasoning=OpenAIResponseReasoning(effort="medium"), + stream=False, + ) + + # Should have tried reasoning path first, then fallen back + mock_inference_api.openai_chat_completions_with_reasoning.assert_called() + mock_inference_api.openai_chat_completion.assert_called() diff --git a/tests/unit/providers/responses/builtin/test_response_conversion_utils.py b/tests/unit/providers/responses/builtin/test_response_conversion_utils.py index 7aa945eeb2..8c20d6e7d6 100644 --- a/tests/unit/providers/responses/builtin/test_response_conversion_utils.py +++ b/tests/unit/providers/responses/builtin/test_response_conversion_utils.py @@ -36,6 +36,7 @@ OpenAIUserMessageParam, ) from llama_stack_api.openai_responses import ( + MCPListToolsTool, OpenAIResponseAnnotationFileCitation, OpenAIResponseInputFunctionToolCallOutput, OpenAIResponseInputMessageContentFile, @@ -46,6 +47,10 @@ OpenAIResponseMessage, OpenAIResponseOutputMessageContentOutputText, OpenAIResponseOutputMessageFunctionToolCall, + OpenAIResponseOutputMessageMCPCall, + OpenAIResponseOutputMessageMCPListTools, + OpenAIResponseOutputMessageReasoningContent, + OpenAIResponseOutputMessageReasoningItem, OpenAIResponseText, OpenAIResponseTextFormat, ) @@ -481,6 +486,306 @@ def test_is_function_tool_call_false_wrong_type(self): assert result is False +class TestReasoningSupportInConversion: + """Tests for reasoning look-back in convert_response_input_to_chat_messages. + + When a ReasoningItem appears in the input, it should be: + 1. Skipped (not converted to its own CC message) + 2. Attached as `reasoning=` on the NEXT assistant message via _get_preceding_reasoning() + + This applies to FunctionToolCalls, McpCalls, and ResponseMessages with role='assistant'. + """ + + async def test_reasoning_attached_to_function_tool_call(self): + """ReasoningItem before a FunctionToolCall should attach reasoning to the assistant message. + + Scenario: Model reasons about which tool to call, then calls get_weather. + """ + input_items = [ + OpenAIResponseMessage(role="user", content="What's the weather in Tokyo?"), + OpenAIResponseOutputMessageReasoningItem( + id="rs_001", + summary=[], + content=[OpenAIResponseOutputMessageReasoningContent(text="Need to call get_weather for Tokyo.")], + status="completed", + ), + OpenAIResponseOutputMessageFunctionToolCall( + call_id="call_abc", + name="get_weather", + arguments='{"location":"Tokyo","unit":"celsius"}', + ), + OpenAIResponseInputFunctionToolCallOutput( + output='{"temperature": 27, "condition": "humid"}', + call_id="call_abc", + ), + ] + + result = await convert_response_input_to_chat_messages(input_items) + + assert len(result) == 3 + # user message + assert isinstance(result[0], OpenAIUserMessageParam) + # assistant with reasoning attached + assert isinstance(result[1], OpenAIAssistantMessageParam) + assert result[1].tool_calls[0].function.name == "get_weather" + assert result[1].reasoning_content == "Need to call get_weather for Tokyo." + # tool result + assert isinstance(result[2], OpenAIToolMessageParam) + assert result[2].tool_call_id == "call_abc" + + async def test_reasoning_attached_to_assistant_content_message(self): + """ReasoningItem before an assistant ResponseMessage should attach reasoning. + + Scenario: resp_2 output from the MCP notebook -- model reasons then produces content. + Input: [user("Hi!"), McpListTools, ReasoningItem("greeting"), ResponseMessage(assistant, "Hi there!")] + Expected CC: [user("Hi!"), assistant(content="Hi there!", reasoning="greeting")] + """ + input_items = [ + OpenAIResponseMessage(role="user", content="Hi !"), + OpenAIResponseOutputMessageMCPListTools( + id="mcp_list_001", + server_label="gitmcp", + tools=[ + MCPListToolsTool( + input_schema={"type": "object", "properties": {"query": {"type": "string"}}}, + name="search_docs", + description="Search documentation", + ), + ], + ), + OpenAIResponseOutputMessageReasoningItem( + id="rs_002", + summary=[], + content=[ + OpenAIResponseOutputMessageReasoningContent( + text='The user says "Hi !". We respond politely.', + ) + ], + status="completed", + ), + OpenAIResponseMessage( + role="assistant", + content=[OpenAIResponseOutputMessageContentOutputText(text="Hi there! How can I help you today?")], + id="msg_001", + status="completed", + ), + ] + + result = await convert_response_input_to_chat_messages(input_items) + + assert len(result) == 2 + # user + assert isinstance(result[0], OpenAIUserMessageParam) + assert result[0].content == "Hi !" + # assistant with reasoning from look-back + assert isinstance(result[1], OpenAIAssistantMessageParam) + assert result[1].reasoning_content == 'The user says "Hi !". We respond politely.' + + async def test_mcp_tool_call_reasoning_lookback(self): + """ReasoningItem before an McpCall should attach reasoning to the assistant message. + + This is the resp_3 scenario from the MCP notebook: resp_2 returned + [McpListTools, ReasoningItem, McpCall(search), ReasoningItem, McpCall(fetch), + ReasoningItem, OutputMessage]. When passed back as input for resp_3, + the McpCall assistant messages should carry their preceding reasoning. + + Input (simplified from debug logs): + [user("Hi!"), McpListTools, ReasoningItem("greeting"), assistant("Hi there!"), + user("overview?"), McpListTools, + ReasoningItem("First search"), McpCall(search, output="Found: overview"), + ReasoningItem("Now fetch"), McpCall(fetch, output="tiktoken is a fast BPE..."), + ReasoningItem("Produce overview"), assistant("**tiktoken**..."), + user("thanks!")] + + Expected CC output: + [user("Hi!"), assistant("Hi there!", reasoning="greeting"), + user("overview?"), + assistant(tool_calls=[search], reasoning="First search"), tool("Found: overview"), + assistant(tool_calls=[fetch], reasoning="Now fetch"), tool("tiktoken is..."), + assistant("**tiktoken**...", reasoning="Produce overview"), + user("thanks!")] + """ + input_items = [ + # Turn 1: greeting + OpenAIResponseMessage(role="user", content="Hi !"), + OpenAIResponseOutputMessageMCPListTools( + id="mcp_list_001", + server_label="gitmcp", + tools=[ + MCPListToolsTool( + input_schema={"type": "object", "properties": {"query": {"type": "string"}}}, + name="search_tiktoken_documentation", + description="Search tiktoken docs", + ), + MCPListToolsTool( + input_schema={"type": "object", "properties": {"topic": {"type": "string"}}}, + name="fetch_tiktoken_documentation", + description="Fetch tiktoken docs for a topic", + ), + ], + ), + OpenAIResponseOutputMessageReasoningItem( + id="rs_greeting", + summary=[], + content=[OpenAIResponseOutputMessageReasoningContent(text="Friendly greeting back.")], + status="completed", + ), + OpenAIResponseMessage( + role="assistant", + content=[OpenAIResponseOutputMessageContentOutputText(text="Hi there! How can I help you today?")], + id="msg_greeting", + status="completed", + ), + # Turn 2: user asks about tiktoken + OpenAIResponseMessage( + role="user", + content="Give me very brief overview of tiktoken?", + ), + # Turn 2 output: MCP tool calls with reasoning + OpenAIResponseOutputMessageMCPListTools( + id="mcp_list_002", + server_label="gitmcp", + tools=[ + MCPListToolsTool( + input_schema={"type": "object", "properties": {"query": {"type": "string"}}}, + name="search_tiktoken_documentation", + description="Search tiktoken docs", + ), + MCPListToolsTool( + input_schema={"type": "object", "properties": {"topic": {"type": "string"}}}, + name="fetch_tiktoken_documentation", + description="Fetch tiktoken docs for a topic", + ), + ], + ), + OpenAIResponseOutputMessageReasoningItem( + id="rs_search", + summary=[], + content=[ + OpenAIResponseOutputMessageReasoningContent( + text="We need to use the provided tool functions. First search.", + ) + ], + status="completed", + ), + OpenAIResponseOutputMessageMCPCall( + id="fc_search", + name="search_tiktoken_documentation", + arguments='{"query":"tiktoken overview"}', + server_label="gitmcp", + output="Found Section: `overview`", + ), + OpenAIResponseOutputMessageReasoningItem( + id="rs_fetch", + summary=[], + content=[OpenAIResponseOutputMessageReasoningContent(text="Now fetch overview.")], + status="completed", + ), + OpenAIResponseOutputMessageMCPCall( + id="fc_fetch", + name="fetch_tiktoken_documentation", + arguments='{"topic":"overview"}', + server_label="gitmcp", + output="tiktoken is a fast BPE tokeniser for OpenAI models.", + ), + OpenAIResponseOutputMessageReasoningItem( + id="rs_summary", + summary=[], + content=[OpenAIResponseOutputMessageReasoningContent(text="We need to produce brief overview.")], + status="completed", + ), + OpenAIResponseMessage( + role="assistant", + content=[ + OpenAIResponseOutputMessageContentOutputText( + text="**tiktoken** - a fast BPE tokenizer for OpenAI models.", + ) + ], + id="msg_summary", + status="completed", + ), + # Turn 3: user thanks + OpenAIResponseMessage(role="user", content="hmm. thanks ! this is helpful"), + ] + + result = await convert_response_input_to_chat_messages(input_items) + + # Expected: 9 messages + # [0] user("Hi!") + # [1] assistant("Hi there!", reasoning="Friendly greeting back.") + # [2] user("overview?") + # [3] assistant(tool_calls=[search], reasoning="...First search.") + # [4] tool("Found Section: overview") + # [5] assistant(tool_calls=[fetch], reasoning="Now fetch overview.") + # [6] tool("tiktoken is a fast BPE...") + # [7] assistant("**tiktoken**...", reasoning="...produce brief overview.") + # [8] user("thanks!") + assert len(result) == 9 + + # [0] user + assert isinstance(result[0], OpenAIUserMessageParam) + assert result[0].content == "Hi !" + + # [1] assistant with greeting reasoning + assert isinstance(result[1], OpenAIAssistantMessageParam) + assert result[1].reasoning_content == "Friendly greeting back." + + # [2] user + assert isinstance(result[2], OpenAIUserMessageParam) + assert result[2].content == "Give me very brief overview of tiktoken?" + + # [3] assistant from McpCall(search) -- should have reasoning from look-back + assert isinstance(result[3], OpenAIAssistantMessageParam) + assert result[3].tool_calls is not None + assert result[3].tool_calls[0].function.name == "search_tiktoken_documentation" + assert result[3].reasoning_content == "We need to use the provided tool functions. First search." + + # [4] tool result for search + assert isinstance(result[4], OpenAIToolMessageParam) + assert result[4].content == "Found Section: `overview`" + assert result[4].tool_call_id == "fc_search" + + # [5] assistant from McpCall(fetch) -- should have reasoning from look-back + assert isinstance(result[5], OpenAIAssistantMessageParam) + assert result[5].tool_calls is not None + assert result[5].tool_calls[0].function.name == "fetch_tiktoken_documentation" + assert result[5].reasoning_content == "Now fetch overview." + + # [6] tool result for fetch + assert isinstance(result[6], OpenAIToolMessageParam) + assert result[6].content == "tiktoken is a fast BPE tokeniser for OpenAI models." + assert result[6].tool_call_id == "fc_fetch" + + # [7] assistant content message with reasoning + assert isinstance(result[7], OpenAIAssistantMessageParam) + assert result[7].reasoning_content == "We need to produce brief overview." + + # [8] user + assert isinstance(result[8], OpenAIUserMessageParam) + assert result[8].content == "hmm. thanks ! this is helpful" + + async def test_no_reasoning_when_no_preceding_reasoning_item(self): + """When there is no ReasoningItem before a tool call, reasoning should not be set.""" + input_items = [ + OpenAIResponseMessage(role="user", content="What's the weather?"), + OpenAIResponseOutputMessageFunctionToolCall( + call_id="call_no_reason", + name="get_weather", + arguments='{"location":"Tokyo"}', + ), + OpenAIResponseInputFunctionToolCallOutput( + output='{"temperature": 27}', + call_id="call_no_reason", + ), + ] + + result = await convert_response_input_to_chat_messages(input_items) + + assert len(result) == 3 + assert isinstance(result[1], OpenAIAssistantMessageParam) + assert not hasattr(result[1], "reasoning") + + class TestExtractCitationsFromText: def test_extract_citations_and_annotations(self): text = "Start [not-a-file]. New source <|file-abc123|>. "