diff --git a/.github/workflows/conformance.yml b/.github/workflows/conformance.yml index 5bbd53e5f6..22732ce891 100644 --- a/.github/workflows/conformance.yml +++ b/.github/workflows/conformance.yml @@ -43,9 +43,9 @@ jobs: # Check if we should skip conformance testing due to breaking changes - name: Check if conformance test should be skipped id: skip-check + env: + PR_TITLE: ${{ github.event.pull_request.title }} run: | - PR_TITLE="${{ github.event.pull_request.title }}" - # Skip if title contains "!:" indicating breaking change (like "feat!:") if [[ "$PR_TITLE" == *"!:"* ]]; then echo "skip=true" >> $GITHUB_OUTPUT diff --git a/docs/static/deprecated-llama-stack-spec.html b/docs/static/deprecated-llama-stack-spec.html index f9bcb48f75..570b0b7507 100644 --- a/docs/static/deprecated-llama-stack-spec.html +++ b/docs/static/deprecated-llama-stack-spec.html @@ -1527,7 +1527,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAIChatCompletionRequest" + "$ref": "#/components/schemas/OpenAIChatCompletionRequestWithExtraBody" } } }, @@ -1617,7 +1617,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAICompletionRequest" + "$ref": "#/components/schemas/OpenAICompletionRequestWithExtraBody" } } }, @@ -7522,7 +7522,7 @@ "title": "OpenAIResponseFormatText", "description": "Text response format for OpenAI-compatible chat completion requests." }, - "OpenAIChatCompletionRequest": { + "OpenAIChatCompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -7769,7 +7769,7 @@ "model", "messages" ], - "title": "OpenAIChatCompletionRequest", + "title": "OpenAIChatCompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible chat completion endpoint." }, "OpenAIChatCompletion": { @@ -7966,7 +7966,7 @@ ], "title": "OpenAICompletionWithInputMessages" }, - "OpenAICompletionRequest": { + "OpenAICompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -8097,17 +8097,6 @@ "type": "string", "description": "(Optional) The user to use." }, - "guided_choice": { - "type": "array", - "items": { - "type": "string" - }, - "description": "(Optional) vLLM-specific parameter for guided generation with a list of choices." - }, - "prompt_logprobs": { - "type": "integer", - "description": "(Optional) vLLM-specific parameter for number of log probabilities to return for prompt tokens." - }, "suffix": { "type": "string", "description": "(Optional) The suffix that should be appended to the completion." @@ -8118,7 +8107,7 @@ "model", "prompt" ], - "title": "OpenAICompletionRequest", + "title": "OpenAICompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible completion endpoint." }, "OpenAICompletion": { diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index 552555f7ad..845e51f8cf 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -1098,7 +1098,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAIChatCompletionRequest' + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' required: true deprecated: true /v1/openai/v1/chat/completions/{completion_id}: @@ -1167,7 +1167,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAICompletionRequest' + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' required: true deprecated: true /v1/openai/v1/embeddings: @@ -5575,7 +5575,7 @@ components: title: OpenAIResponseFormatText description: >- Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequest: + OpenAIChatCompletionRequestWithExtraBody: type: object properties: model: @@ -5717,7 +5717,7 @@ components: required: - model - messages - title: OpenAIChatCompletionRequest + title: OpenAIChatCompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible chat completion endpoint. OpenAIChatCompletion: @@ -5885,7 +5885,7 @@ components: - model - input_messages title: OpenAICompletionWithInputMessages - OpenAICompletionRequest: + OpenAICompletionRequestWithExtraBody: type: object properties: model: @@ -5973,18 +5973,6 @@ components: user: type: string description: (Optional) The user to use. - guided_choice: - type: array - items: - type: string - description: >- - (Optional) vLLM-specific parameter for guided generation with a list of - choices. - prompt_logprobs: - type: integer - description: >- - (Optional) vLLM-specific parameter for number of log probabilities to - return for prompt tokens. suffix: type: string description: >- @@ -5993,7 +5981,7 @@ components: required: - model - prompt - title: OpenAICompletionRequest + title: OpenAICompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible completion endpoint. OpenAICompletion: diff --git a/docs/static/llama-stack-spec.html b/docs/static/llama-stack-spec.html index 8f8ff66c90..cc656063df 100644 --- a/docs/static/llama-stack-spec.html +++ b/docs/static/llama-stack-spec.html @@ -153,7 +153,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAIChatCompletionRequest" + "$ref": "#/components/schemas/OpenAIChatCompletionRequestWithExtraBody" } } }, @@ -243,7 +243,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAICompletionRequest" + "$ref": "#/components/schemas/OpenAICompletionRequestWithExtraBody" } } }, @@ -5018,7 +5018,7 @@ "title": "OpenAIResponseFormatText", "description": "Text response format for OpenAI-compatible chat completion requests." }, - "OpenAIChatCompletionRequest": { + "OpenAIChatCompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -5265,7 +5265,7 @@ "model", "messages" ], - "title": "OpenAIChatCompletionRequest", + "title": "OpenAIChatCompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible chat completion endpoint." }, "OpenAIChatCompletion": { @@ -5462,7 +5462,7 @@ ], "title": "OpenAICompletionWithInputMessages" }, - "OpenAICompletionRequest": { + "OpenAICompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -5593,17 +5593,6 @@ "type": "string", "description": "(Optional) The user to use." }, - "guided_choice": { - "type": "array", - "items": { - "type": "string" - }, - "description": "(Optional) vLLM-specific parameter for guided generation with a list of choices." - }, - "prompt_logprobs": { - "type": "integer", - "description": "(Optional) vLLM-specific parameter for number of log probabilities to return for prompt tokens." - }, "suffix": { "type": "string", "description": "(Optional) The suffix that should be appended to the completion." @@ -5614,7 +5603,7 @@ "model", "prompt" ], - "title": "OpenAICompletionRequest", + "title": "OpenAICompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible completion endpoint." }, "OpenAICompletion": { diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index 97742f19a2..66e84b4f2e 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -98,7 +98,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAIChatCompletionRequest' + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' required: true deprecated: false /v1/chat/completions/{completion_id}: @@ -167,7 +167,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAICompletionRequest' + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' required: true deprecated: false /v1/conversations: @@ -3824,7 +3824,7 @@ components: title: OpenAIResponseFormatText description: >- Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequest: + OpenAIChatCompletionRequestWithExtraBody: type: object properties: model: @@ -3966,7 +3966,7 @@ components: required: - model - messages - title: OpenAIChatCompletionRequest + title: OpenAIChatCompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible chat completion endpoint. OpenAIChatCompletion: @@ -4134,7 +4134,7 @@ components: - model - input_messages title: OpenAICompletionWithInputMessages - OpenAICompletionRequest: + OpenAICompletionRequestWithExtraBody: type: object properties: model: @@ -4222,18 +4222,6 @@ components: user: type: string description: (Optional) The user to use. - guided_choice: - type: array - items: - type: string - description: >- - (Optional) vLLM-specific parameter for guided generation with a list of - choices. - prompt_logprobs: - type: integer - description: >- - (Optional) vLLM-specific parameter for number of log probabilities to - return for prompt tokens. suffix: type: string description: >- @@ -4242,7 +4230,7 @@ components: required: - model - prompt - title: OpenAICompletionRequest + title: OpenAICompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible completion endpoint. OpenAICompletion: diff --git a/docs/static/stainless-llama-stack-spec.html b/docs/static/stainless-llama-stack-spec.html index fcdcd76c5c..10305b2390 100644 --- a/docs/static/stainless-llama-stack-spec.html +++ b/docs/static/stainless-llama-stack-spec.html @@ -153,7 +153,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAIChatCompletionRequest" + "$ref": "#/components/schemas/OpenAIChatCompletionRequestWithExtraBody" } } }, @@ -243,7 +243,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/OpenAICompletionRequest" + "$ref": "#/components/schemas/OpenAICompletionRequestWithExtraBody" } } }, @@ -7027,7 +7027,7 @@ "title": "OpenAIResponseFormatText", "description": "Text response format for OpenAI-compatible chat completion requests." }, - "OpenAIChatCompletionRequest": { + "OpenAIChatCompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -7274,7 +7274,7 @@ "model", "messages" ], - "title": "OpenAIChatCompletionRequest", + "title": "OpenAIChatCompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible chat completion endpoint." }, "OpenAIChatCompletion": { @@ -7471,7 +7471,7 @@ ], "title": "OpenAICompletionWithInputMessages" }, - "OpenAICompletionRequest": { + "OpenAICompletionRequestWithExtraBody": { "type": "object", "properties": { "model": { @@ -7602,17 +7602,6 @@ "type": "string", "description": "(Optional) The user to use." }, - "guided_choice": { - "type": "array", - "items": { - "type": "string" - }, - "description": "(Optional) vLLM-specific parameter for guided generation with a list of choices." - }, - "prompt_logprobs": { - "type": "integer", - "description": "(Optional) vLLM-specific parameter for number of log probabilities to return for prompt tokens." - }, "suffix": { "type": "string", "description": "(Optional) The suffix that should be appended to the completion." @@ -7623,7 +7612,7 @@ "model", "prompt" ], - "title": "OpenAICompletionRequest", + "title": "OpenAICompletionRequestWithExtraBody", "description": "Request parameters for OpenAI-compatible completion endpoint." }, "OpenAICompletion": { diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 09fc3ded4d..afeeabc626 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -101,7 +101,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAIChatCompletionRequest' + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' required: true deprecated: false /v1/chat/completions/{completion_id}: @@ -170,7 +170,7 @@ paths: content: application/json: schema: - $ref: '#/components/schemas/OpenAICompletionRequest' + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' required: true deprecated: false /v1/conversations: @@ -5269,7 +5269,7 @@ components: title: OpenAIResponseFormatText description: >- Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequest: + OpenAIChatCompletionRequestWithExtraBody: type: object properties: model: @@ -5411,7 +5411,7 @@ components: required: - model - messages - title: OpenAIChatCompletionRequest + title: OpenAIChatCompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible chat completion endpoint. OpenAIChatCompletion: @@ -5579,7 +5579,7 @@ components: - model - input_messages title: OpenAICompletionWithInputMessages - OpenAICompletionRequest: + OpenAICompletionRequestWithExtraBody: type: object properties: model: @@ -5667,18 +5667,6 @@ components: user: type: string description: (Optional) The user to use. - guided_choice: - type: array - items: - type: string - description: >- - (Optional) vLLM-specific parameter for guided generation with a list of - choices. - prompt_logprobs: - type: integer - description: >- - (Optional) vLLM-specific parameter for number of log probabilities to - return for prompt tokens. suffix: type: string description: >- @@ -5687,7 +5675,7 @@ components: required: - model - prompt - title: OpenAICompletionRequest + title: OpenAICompletionRequestWithExtraBody description: >- Request parameters for OpenAI-compatible completion endpoint. OpenAICompletion: diff --git a/llama_stack/apis/inference/inference.py b/llama_stack/apis/inference/inference.py index fb3e78afc3..85339e2e03 100644 --- a/llama_stack/apis/inference/inference.py +++ b/llama_stack/apis/inference/inference.py @@ -15,7 +15,7 @@ ) from fastapi import Body -from pydantic import BaseModel, ConfigDict, Field, field_validator +from pydantic import BaseModel, Field, field_validator from typing_extensions import TypedDict from llama_stack.apis.common.content_types import ContentDelta, InterleavedContent @@ -1036,8 +1036,9 @@ class ListOpenAIChatCompletionResponse(BaseModel): object: Literal["list"] = "list" +# extra_body can be accessed via .model_extra @json_schema_type -class OpenAICompletionRequest(BaseModel): +class OpenAICompletionRequestWithExtraBody(BaseModel, extra="allow"): """Request parameters for OpenAI-compatible completion endpoint. :param model: The identifier of the model to use. The model must be registered with Llama Stack and available via the /models endpoint. @@ -1058,12 +1059,8 @@ class OpenAICompletionRequest(BaseModel): :param top_p: (Optional) The top p to use. :param user: (Optional) The user to use. :param suffix: (Optional) The suffix that should be appended to the completion. - :param guided_choice: (Optional) vLLM-specific parameter for guided generation with a list of choices. - :param prompt_logprobs: (Optional) vLLM-specific parameter for number of log probabilities to return for prompt tokens. """ - model_config = ConfigDict(extra="allow") - # Standard OpenAI completion parameters model: str prompt: str | list[str] | list[int] | list[list[int]] @@ -1082,17 +1079,12 @@ class OpenAICompletionRequest(BaseModel): temperature: float | None = None top_p: float | None = None user: str | None = None - - # vLLM-specific parameters (documented here but also allowed via extra fields) - guided_choice: list[str] | None = None - prompt_logprobs: int | None = None - - # for fill-in-the-middle type completion suffix: str | None = None +# extra_body can be accessed via .model_extra @json_schema_type -class OpenAIChatCompletionRequest(BaseModel): +class OpenAIChatCompletionRequestWithExtraBody(BaseModel, extra="allow"): """Request parameters for OpenAI-compatible chat completion endpoint. :param model: The identifier of the model to use. The model must be registered with Llama Stack and available via the /models endpoint. @@ -1120,8 +1112,6 @@ class OpenAIChatCompletionRequest(BaseModel): :param user: (Optional) The user to use. """ - model_config = ConfigDict(extra="allow") - # Standard OpenAI chat completion parameters model: str messages: Annotated[list[OpenAIMessageParam], Field(..., min_length=1)] @@ -1182,7 +1172,7 @@ async def rerank( @webmethod(route="/completions", method="POST", level=LLAMA_STACK_API_V1) async def openai_completion( self, - params: Annotated[OpenAICompletionRequest, Body(...)], + params: Annotated[OpenAICompletionRequestWithExtraBody, Body(...)], ) -> OpenAICompletion: """Create completion. @@ -1195,7 +1185,7 @@ async def openai_completion( @webmethod(route="/chat/completions", method="POST", level=LLAMA_STACK_API_V1) async def openai_chat_completion( self, - params: Annotated[OpenAIChatCompletionRequest, Body(...)], + params: Annotated[OpenAIChatCompletionRequestWithExtraBody, Body(...)], ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: """Create chat completions. diff --git a/llama_stack/core/routers/inference.py b/llama_stack/core/routers/inference.py index 5c7532e709..e16d08371b 100644 --- a/llama_stack/core/routers/inference.py +++ b/llama_stack/core/routers/inference.py @@ -32,13 +32,13 @@ OpenAIAssistantMessageParam, OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIChatCompletionToolCall, OpenAIChatCompletionToolCallFunction, OpenAIChoice, OpenAIChoiceLogprobs, OpenAICompletion, - OpenAICompletionRequest, + OpenAICompletionRequestWithExtraBody, OpenAICompletionWithInputMessages, OpenAIEmbeddingsResponse, OpenAIMessageParam, @@ -183,7 +183,7 @@ async def _get_model(self, model_id: str, expected_model_type: str) -> Model: async def openai_completion( self, - params: Annotated[OpenAICompletionRequest, Body(...)], + params: Annotated[OpenAICompletionRequestWithExtraBody, Body(...)], ) -> OpenAICompletion: logger.debug( f"InferenceRouter.openai_completion: model={params.model}, stream={params.stream}, prompt={params.prompt}", @@ -218,7 +218,7 @@ async def openai_completion( async def openai_chat_completion( self, - params: Annotated[OpenAIChatCompletionRequest, Body(...)], + params: Annotated[OpenAIChatCompletionRequestWithExtraBody, Body(...)], ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: logger.debug( f"InferenceRouter.openai_chat_completion: model={params.model}, stream={params.stream}, messages={params.messages}", @@ -317,7 +317,7 @@ async def get_chat_completion(self, completion_id: str) -> OpenAICompletionWithI raise NotImplementedError("Get chat completion is not supported: inference store is not configured.") async def _nonstream_openai_chat_completion( - self, provider: Inference, params: OpenAIChatCompletionRequest + self, provider: Inference, params: OpenAIChatCompletionRequestWithExtraBody ) -> OpenAIChatCompletion: response = await provider.openai_chat_completion(params) for choice in response.choices: diff --git a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py index 696fa9c971..96f271669b 100644 --- a/llama_stack/providers/inline/agents/meta_reference/agent_instance.py +++ b/llama_stack/providers/inline/agents/meta_reference/agent_instance.py @@ -49,7 +49,7 @@ Inference, Message, OpenAIAssistantMessageParam, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIDeveloperMessageParam, OpenAIMessageParam, OpenAISystemMessageParam, @@ -583,7 +583,7 @@ def _add_type(openai_msg: dict) -> OpenAIMessageParam: max_tokens = getattr(sampling_params, "max_tokens", None) # Use OpenAI chat completion - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=self.agent_config.model, messages=openai_messages, tools=openai_tools if openai_tools else None, diff --git a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py index 6c1204fd4b..cfd69cdeb2 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -49,7 +49,7 @@ OpenAIAssistantMessageParam, OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIChatCompletionToolCall, OpenAIChoice, OpenAIMessageParam, @@ -169,7 +169,7 @@ async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: # (some providers don't support non-empty response_format when tools are present) response_format = None if self.ctx.response_format.type == "text" else self.ctx.response_format logger.debug(f"calling openai_chat_completion with tools: {self.ctx.chat_tools}") - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=self.ctx.model, messages=messages, tools=self.ctx.chat_tools, diff --git a/llama_stack/providers/inline/batches/reference/batches.py b/llama_stack/providers/inline/batches/reference/batches.py index 48690f177f..102537dd7e 100644 --- a/llama_stack/providers/inline/batches/reference/batches.py +++ b/llama_stack/providers/inline/batches/reference/batches.py @@ -22,8 +22,8 @@ from llama_stack.apis.inference import ( Inference, OpenAIAssistantMessageParam, - OpenAIChatCompletionRequest, - OpenAICompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, + OpenAICompletionRequestWithExtraBody, OpenAIDeveloperMessageParam, OpenAIMessageParam, OpenAISystemMessageParam, @@ -608,7 +608,7 @@ async def _process_single_request(self, batch_id: str, request: BatchRequest) -> # TODO(SECURITY): review body for security issues if request.url == "/v1/chat/completions": request.body["messages"] = [convert_to_openai_message_param(msg) for msg in request.body["messages"]] - chat_params = OpenAIChatCompletionRequest(**request.body) + chat_params = OpenAIChatCompletionRequestWithExtraBody(**request.body) chat_response = await self.inference_api.openai_chat_completion(chat_params) # this is for mypy, we don't allow streaming so we'll get the right type @@ -623,7 +623,7 @@ async def _process_single_request(self, batch_id: str, request: BatchRequest) -> }, } elif request.url == "/v1/completions": - completion_params = OpenAICompletionRequest(**request.body) + completion_params = OpenAICompletionRequestWithExtraBody(**request.body) completion_response = await self.inference_api.openai_completion(completion_params) # this is for mypy, we don't allow streaming so we'll get the right type diff --git a/llama_stack/providers/inline/eval/meta_reference/eval.py b/llama_stack/providers/inline/eval/meta_reference/eval.py index 1318f3104c..3c1e2e4622 100644 --- a/llama_stack/providers/inline/eval/meta_reference/eval.py +++ b/llama_stack/providers/inline/eval/meta_reference/eval.py @@ -14,8 +14,8 @@ from llama_stack.apis.datasets import Datasets from llama_stack.apis.inference import ( Inference, - OpenAIChatCompletionRequest, - OpenAICompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, + OpenAICompletionRequestWithExtraBody, OpenAISystemMessageParam, OpenAIUserMessageParam, UserMessage, @@ -175,7 +175,7 @@ async def _run_model_generation( sampling_params["stop"] = candidate.sampling_params.stop input_content = json.loads(x[ColumnName.completion_input.value]) - params = OpenAICompletionRequest( + params = OpenAICompletionRequestWithExtraBody( model=candidate.model, prompt=input_content, **sampling_params, @@ -195,7 +195,7 @@ async def _run_model_generation( messages += [OpenAISystemMessageParam(**x) for x in chat_completion_input_json if x["role"] == "system"] messages += input_messages - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=candidate.model, messages=messages, **sampling_params, diff --git a/llama_stack/providers/inline/inference/meta_reference/inference.py b/llama_stack/providers/inline/inference/meta_reference/inference.py index 72813b4fd4..286335a7dd 100644 --- a/llama_stack/providers/inline/inference/meta_reference/inference.py +++ b/llama_stack/providers/inline/inference/meta_reference/inference.py @@ -9,8 +9,8 @@ from llama_stack.apis.inference import ( InferenceProvider, - OpenAIChatCompletionRequest, - OpenAICompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, + OpenAICompletionRequestWithExtraBody, ) from llama_stack.apis.inference.inference import ( OpenAIChatCompletion, @@ -67,7 +67,7 @@ async def shutdown(self) -> None: async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: raise NotImplementedError("OpenAI completion not supported by meta reference provider") @@ -153,6 +153,6 @@ def check_model(self, request) -> None: async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: raise NotImplementedError("OpenAI chat completion not supported by meta-reference inference provider") diff --git a/llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py b/llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py index 4aac2c3d86..306e1325e3 100644 --- a/llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py +++ b/llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers.py @@ -8,8 +8,8 @@ from llama_stack.apis.inference import ( InferenceProvider, - OpenAIChatCompletionRequest, - OpenAICompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, + OpenAICompletionRequestWithExtraBody, ) from llama_stack.apis.inference.inference import ( OpenAIChatCompletion, @@ -72,12 +72,12 @@ async def unregister_model(self, model_id: str) -> None: async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: raise NotImplementedError("OpenAI completion not supported by sentence transformers provider") async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: raise NotImplementedError("OpenAI chat completion not supported by sentence transformers provider") diff --git a/llama_stack/providers/inline/safety/llama_guard/llama_guard.py b/llama_stack/providers/inline/safety/llama_guard/llama_guard.py index c661de59c5..e73aadedca 100644 --- a/llama_stack/providers/inline/safety/llama_guard/llama_guard.py +++ b/llama_stack/providers/inline/safety/llama_guard/llama_guard.py @@ -13,7 +13,7 @@ from llama_stack.apis.inference import ( Inference, Message, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIUserMessageParam, UserMessage, ) @@ -296,7 +296,7 @@ async def run(self, messages: list[Message]) -> RunShieldResponse: else: shield_input_message = self.build_text_shield_input(messages) - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=self.model, messages=[shield_input_message], stream=False, @@ -384,7 +384,7 @@ async def run_moderation(self, messages: list[Message]) -> ModerationObject: # TODO: Add Image based support for OpenAI Moderations shield_input_message = self.build_text_shield_input(messages) - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=self.model, messages=[shield_input_message], stream=False, diff --git a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py index f5e55d1d5b..fbecb6e203 100644 --- a/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py +++ b/llama_stack/providers/inline/scoring/llm_as_judge/scoring_fn/llm_as_judge_scoring_fn.py @@ -6,7 +6,7 @@ import re from typing import Any -from llama_stack.apis.inference import Inference, OpenAIChatCompletionRequest +from llama_stack.apis.inference import Inference, OpenAIChatCompletionRequestWithExtraBody from llama_stack.apis.scoring import ScoringResultRow from llama_stack.apis.scoring_functions import ScoringFnParams from llama_stack.providers.utils.scoring.base_scoring_fn import RegisteredBaseScoringFn @@ -55,7 +55,7 @@ async def score_row( generated_answer=generated_answer, ) - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=fn_def.params.judge_model, messages=[ { diff --git a/llama_stack/providers/inline/tool_runtime/rag/context_retriever.py b/llama_stack/providers/inline/tool_runtime/rag/context_retriever.py index 98098e2d2d..14cbec49d7 100644 --- a/llama_stack/providers/inline/tool_runtime/rag/context_retriever.py +++ b/llama_stack/providers/inline/tool_runtime/rag/context_retriever.py @@ -8,7 +8,7 @@ from jinja2 import Template from llama_stack.apis.common.content_types import InterleavedContent -from llama_stack.apis.inference import OpenAIChatCompletionRequest, OpenAIUserMessageParam +from llama_stack.apis.inference import OpenAIChatCompletionRequestWithExtraBody, OpenAIUserMessageParam from llama_stack.apis.tools.rag_tool import ( DefaultRAGQueryGeneratorConfig, LLMRAGQueryGeneratorConfig, @@ -65,7 +65,7 @@ async def llm_rag_query_generator( model = config.model message = OpenAIUserMessageParam(content=rendered_content) - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model=model, messages=[message], stream=False, diff --git a/llama_stack/providers/remote/inference/bedrock/bedrock.py b/llama_stack/providers/remote/inference/bedrock/bedrock.py index 788c274f11..057ed758bf 100644 --- a/llama_stack/providers/remote/inference/bedrock/bedrock.py +++ b/llama_stack/providers/remote/inference/bedrock/bedrock.py @@ -12,8 +12,8 @@ from llama_stack.apis.inference import ( ChatCompletionRequest, Inference, - OpenAIChatCompletionRequest, - OpenAICompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, + OpenAICompletionRequestWithExtraBody, OpenAIEmbeddingsResponse, ) from llama_stack.apis.inference.inference import ( @@ -134,12 +134,12 @@ async def openai_embeddings( async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: raise NotImplementedError("OpenAI completion not supported by the Bedrock provider") async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: raise NotImplementedError("OpenAI chat completion not supported by the Bedrock provider") diff --git a/llama_stack/providers/remote/inference/databricks/databricks.py b/llama_stack/providers/remote/inference/databricks/databricks.py index 512913226c..44996507f1 100644 --- a/llama_stack/providers/remote/inference/databricks/databricks.py +++ b/llama_stack/providers/remote/inference/databricks/databricks.py @@ -8,7 +8,7 @@ from databricks.sdk import WorkspaceClient -from llama_stack.apis.inference import OpenAICompletion, OpenAICompletionRequest +from llama_stack.apis.inference import OpenAICompletion, OpenAICompletionRequestWithExtraBody from llama_stack.log import get_logger from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin @@ -39,6 +39,6 @@ async def list_provider_model_ids(self) -> Iterable[str]: async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: raise NotImplementedError() diff --git a/llama_stack/providers/remote/inference/llama_openai_compat/llama.py b/llama_stack/providers/remote/inference/llama_openai_compat/llama.py index 5a8bdd55e5..e5fb3c77fe 100644 --- a/llama_stack/providers/remote/inference/llama_openai_compat/llama.py +++ b/llama_stack/providers/remote/inference/llama_openai_compat/llama.py @@ -3,7 +3,12 @@ # # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. -from llama_stack.apis.inference.inference import OpenAICompletion, OpenAICompletionRequest, OpenAIEmbeddingsResponse + +from llama_stack.apis.inference.inference import ( + OpenAICompletion, + OpenAICompletionRequestWithExtraBody, + OpenAIEmbeddingsResponse, +) from llama_stack.log import get_logger from llama_stack.providers.remote.inference.llama_openai_compat.config import LlamaCompatConfig from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin @@ -29,7 +34,7 @@ def get_base_url(self) -> str: async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: raise NotImplementedError() diff --git a/llama_stack/providers/remote/inference/passthrough/passthrough.py b/llama_stack/providers/remote/inference/passthrough/passthrough.py index 8813ae529a..11306095bf 100644 --- a/llama_stack/providers/remote/inference/passthrough/passthrough.py +++ b/llama_stack/providers/remote/inference/passthrough/passthrough.py @@ -13,9 +13,9 @@ Inference, OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAICompletion, - OpenAICompletionRequest, + OpenAICompletionRequestWithExtraBody, OpenAIEmbeddingsResponse, ) from llama_stack.apis.models import Model @@ -79,7 +79,7 @@ async def openai_embeddings( async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: client = self._get_client() model_obj = await self.model_store.get_model(params.model) @@ -93,7 +93,7 @@ async def openai_completion( async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: client = self._get_client() model_obj = await self.model_store.get_model(params.model) diff --git a/llama_stack/providers/remote/inference/runpod/runpod.py b/llama_stack/providers/remote/inference/runpod/runpod.py index c08136f9fd..db60644caa 100644 --- a/llama_stack/providers/remote/inference/runpod/runpod.py +++ b/llama_stack/providers/remote/inference/runpod/runpod.py @@ -9,7 +9,7 @@ from llama_stack.apis.inference import ( OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, ) from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin @@ -31,7 +31,7 @@ def get_base_url(self) -> str: async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: """Override to add RunPod-specific stream_options requirement.""" params = params.model_copy() diff --git a/llama_stack/providers/remote/inference/vllm/vllm.py b/llama_stack/providers/remote/inference/vllm/vllm.py index b093262719..74a18f3de7 100644 --- a/llama_stack/providers/remote/inference/vllm/vllm.py +++ b/llama_stack/providers/remote/inference/vllm/vllm.py @@ -14,7 +14,7 @@ from llama_stack.apis.inference import ( OpenAIChatCompletion, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, ToolChoice, ) from llama_stack.log import get_logger @@ -93,7 +93,7 @@ async def check_model_availability(self, model: str) -> bool: async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: params = params.model_copy() diff --git a/llama_stack/providers/utils/inference/litellm_openai_mixin.py b/llama_stack/providers/utils/inference/litellm_openai_mixin.py index eed078a0e5..d1be1789a8 100644 --- a/llama_stack/providers/utils/inference/litellm_openai_mixin.py +++ b/llama_stack/providers/utils/inference/litellm_openai_mixin.py @@ -16,9 +16,9 @@ JsonSchemaResponseFormat, OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAICompletion, - OpenAICompletionRequest, + OpenAICompletionRequestWithExtraBody, OpenAIEmbeddingData, OpenAIEmbeddingsResponse, OpenAIEmbeddingUsage, @@ -226,7 +226,7 @@ async def openai_embeddings( async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: model_obj = await self.model_store.get_model(params.model) @@ -248,8 +248,6 @@ async def openai_completion( temperature=params.temperature, top_p=params.top_p, user=params.user, - guided_choice=params.guided_choice, - prompt_logprobs=params.prompt_logprobs, suffix=params.suffix, api_key=self.get_api_key(), api_base=self.api_base, @@ -258,7 +256,7 @@ async def openai_completion( async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: # Add usage tracking for streaming when telemetry is active from llama_stack.providers.utils.telemetry.tracing import get_current_span diff --git a/llama_stack/providers/utils/inference/openai_mixin.py b/llama_stack/providers/utils/inference/openai_mixin.py index 502bc207bb..863ea161c5 100644 --- a/llama_stack/providers/utils/inference/openai_mixin.py +++ b/llama_stack/providers/utils/inference/openai_mixin.py @@ -17,9 +17,9 @@ Model, OpenAIChatCompletion, OpenAIChatCompletionChunk, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAICompletion, - OpenAICompletionRequest, + OpenAICompletionRequestWithExtraBody, OpenAIEmbeddingData, OpenAIEmbeddingsResponse, OpenAIEmbeddingUsage, @@ -223,21 +223,11 @@ async def _gen(): async def openai_completion( self, - params: OpenAICompletionRequest, + params: OpenAICompletionRequestWithExtraBody, ) -> OpenAICompletion: """ Direct OpenAI completion API call. """ - # Handle parameters that are not supported by OpenAI API, but may be by the provider - # prompt_logprobs is supported by vLLM - # guided_choice is supported by vLLM - # TODO: test coverage - extra_body: dict[str, Any] = {} - if params.prompt_logprobs is not None and params.prompt_logprobs >= 0: - extra_body["prompt_logprobs"] = params.prompt_logprobs - if params.guided_choice: - extra_body["guided_choice"] = params.guided_choice - # TODO: fix openai_completion to return type compatible with OpenAI's API response completion_kwargs = await prepare_openai_completion_params( model=await self._get_provider_model_id(params.model), @@ -259,13 +249,15 @@ async def openai_completion( user=params.user, suffix=params.suffix, ) - resp = await self.client.completions.create(**completion_kwargs, extra_body=extra_body) + if extra_body := params.model_extra: + completion_kwargs["extra_body"] = extra_body + resp = await self.client.completions.create(**completion_kwargs) return await self._maybe_overwrite_id(resp, params.stream) # type: ignore[no-any-return] async def openai_chat_completion( self, - params: OpenAIChatCompletionRequest, + params: OpenAIChatCompletionRequestWithExtraBody, ) -> OpenAIChatCompletion | AsyncIterator[OpenAIChatCompletionChunk]: """ Direct OpenAI chat completion API call. @@ -316,6 +308,8 @@ async def _localize_image_url(m: OpenAIMessageParam) -> OpenAIMessageParam: user=params.user, ) + if extra_body := params.model_extra: + request_params["extra_body"] = extra_body resp = await self.client.chat.completions.create(**request_params) return await self._maybe_overwrite_id(resp, params.stream) # type: ignore[no-any-return] diff --git a/tests/integration/batches/recordings/92d49675c90319c093846b731bdc33d7b261cc73e12a914c9c3661a028c19adc.json b/tests/integration/batches/recordings/92d49675c90319c093846b731bdc33d7b261cc73e12a914c9c3661a028c19adc.json new file mode 100644 index 0000000000..063e210fa1 --- /dev/null +++ b/tests/integration/batches/recordings/92d49675c90319c093846b731bdc33d7b261cc73e12a914c9c3661a028c19adc.json @@ -0,0 +1,44 @@ +{ + "test_id": "tests/integration/batches/test_batches.py::TestBatchesIntegration::test_batch_e2e_completions[txt=ollama/llama3.2:3b-instruct-fp16]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "prompt": "Say completions", + "max_tokens": 20 + }, + "endpoint": "/v1/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "rec-92d49675c903", + "choices": [ + { + "finish_reason": "length", + "index": 0, + "logprobs": null, + "text": "What would you like me to say completion about? Would you like me to complete a thought, finish" + } + ], + "created": 0, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 20, + "prompt_tokens": 28, + "total_tokens": 48, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-9ecd9600.json b/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-9ecd9600.json new file mode 100644 index 0000000000..2d89edb5a6 --- /dev/null +++ b/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-9ecd9600.json @@ -0,0 +1,881 @@ +{ + "test_id": null, + "request": { + "method": "POST", + "url": "https://api.openai.com/v1/v1/models", + "headers": {}, + "body": {}, + "endpoint": "/v1/models", + "model": "" + }, + "response": { + "body": [ + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-4-0613", + "created": 1686588896, + "object": "model", + "owned_by": "openai" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-4", + "created": 1687882411, + "object": "model", + "owned_by": "openai" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-3.5-turbo", + "created": 1677610602, + "object": "model", + "owned_by": "openai" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "sora-2-pro", + "created": 1759708663, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-audio-mini-2025-10-06", + "created": 1759512137, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-realtime-mini", + "created": 1759517133, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-realtime-mini-2025-10-06", + "created": 1759517175, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "sora-2", + "created": 1759708615, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "davinci-002", + "created": 1692634301, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "babbage-002", + "created": 1692634615, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-3.5-turbo-instruct", + "created": 1692901427, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-3.5-turbo-instruct-0914", + "created": 1694122472, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "dall-e-3", + "created": 1698785189, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "dall-e-2", + "created": 1698798177, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-4-1106-preview", + "created": 1698957206, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "gpt-3.5-turbo-1106", + "created": 1698959748, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "tts-1-hd", + "created": 1699046015, + "object": "model", + "owned_by": "system" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + 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null, + "usage": { + "completion_tokens": 3, + "prompt_tokens": 7, + "total_tokens": 10, + "completion_tokens_details": null, + "prompt_tokens_details": null + }, + "service_tier": null, + "kv_transfer_params": null + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/inference/recordings/f0f863b7a3527d2848b81dfcc05c898a7a2a1ab5e1213f100aeae00b8a5e1ba3.json b/tests/integration/inference/recordings/f0f863b7a3527d2848b81dfcc05c898a7a2a1ab5e1213f100aeae00b8a5e1ba3.json new file mode 100644 index 0000000000..2fea6325df --- /dev/null +++ b/tests/integration/inference/recordings/f0f863b7a3527d2848b81dfcc05c898a7a2a1ab5e1213f100aeae00b8a5e1ba3.json @@ -0,0 +1,44 @@ +{ + "test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=ollama/llama3.2:3b-instruct-fp16-inference:completion:sanity]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "prompt": "Respond to this question and explain your answer. Complete the sentence using one word: Roses are red, violets are ", + "stream": false + }, + "endpoint": "/v1/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": { + "__type__": "openai.types.completion.Completion", + "__data__": { + "id": "rec-f0f863b7a352", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "text": "blue.\n\nThe traditional nursery rhyme goes like this:\n\n\"Roses are red,\nViolets are blue.\"\n\nThe reason for this specific color pairing is unclear, but it's often thought to represent the poetical notion of love and relationships. The rhyme has been passed down for generations, and its origins remain a topic of debate among scholars.\n\nIn essence, \"blue\" fits the rhythm and meter of the original phrase, creating a sense of continuity and completion in the rhyming couplet." + } + ], + "created": 0, + "model": "llama3.2:3b-instruct-fp16", + "object": "text_completion", + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 100, + "prompt_tokens": 50, + "total_tokens": 150, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/inference/test_openai_completion.py b/tests/integration/inference/test_openai_completion.py index 2c065560e4..3f0cffb2dd 100644 --- a/tests/integration/inference/test_openai_completion.py +++ b/tests/integration/inference/test_openai_completion.py @@ -223,7 +223,7 @@ def test_openai_completion_guided_choice(llama_stack_client, client_with_models, model=text_model_id, prompt=prompt, stream=False, - guided_choice=["joy", "sadness"], + extra_body={"guided_choice": ["joy", "sadness"]}, ) assert len(response.choices) > 0 choice = response.choices[0] diff --git a/tests/unit/providers/agents/meta_reference/test_openai_responses.py b/tests/unit/providers/agents/meta_reference/test_openai_responses.py index 8025ea5ae4..81978c60ca 100644 --- a/tests/unit/providers/agents/meta_reference/test_openai_responses.py +++ b/tests/unit/providers/agents/meta_reference/test_openai_responses.py @@ -33,7 +33,7 @@ from llama_stack.apis.inference import ( OpenAIAssistantMessageParam, OpenAIChatCompletionContentPartTextParam, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIDeveloperMessageParam, OpenAIJSONSchema, OpenAIResponseFormatJSONObject, @@ -162,7 +162,7 @@ async def test_create_openai_response_with_string_input(openai_responses_impl, m chunks = [chunk async for chunk in result] mock_inference_api.openai_chat_completion.assert_called_once_with( - OpenAIChatCompletionRequest( + OpenAIChatCompletionRequestWithExtraBody( model=model, messages=[OpenAIUserMessageParam(role="user", content="What is the capital of Ireland?", name=None)], response_format=None, diff --git a/tests/unit/providers/inference/test_remote_vllm.py b/tests/unit/providers/inference/test_remote_vllm.py index 569fb50316..ffd45798ec 100644 --- a/tests/unit/providers/inference/test_remote_vllm.py +++ b/tests/unit/providers/inference/test_remote_vllm.py @@ -13,11 +13,16 @@ from llama_stack.apis.inference import ( OpenAIAssistantMessageParam, OpenAIChatCompletion, - OpenAIChatCompletionRequest, + OpenAIChatCompletionRequestWithExtraBody, OpenAIChoice, + OpenAICompletion, + OpenAICompletionChoice, + OpenAICompletionRequestWithExtraBody, ToolChoice, ) from llama_stack.apis.models import Model +from llama_stack.core.routers.inference import InferenceRouter +from llama_stack.core.routing_tables.models import ModelsRoutingTable from llama_stack.providers.datatypes import HealthStatus from llama_stack.providers.remote.inference.vllm.config import VLLMInferenceAdapterConfig from llama_stack.providers.remote.inference.vllm.vllm import VLLMInferenceAdapter @@ -57,7 +62,7 @@ async def test_old_vllm_tool_choice(vllm_inference_adapter): mock_client_property.return_value = mock_client # No tools but auto tool choice - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model="mock-model", messages=[{"role": "user", "content": "test"}], stream=False, @@ -173,7 +178,7 @@ async def mock_create(*args, **kwargs): ) async def do_inference(): - params = OpenAIChatCompletionRequest( + params = OpenAIChatCompletionRequestWithExtraBody( model="mock-model", messages=[{"role": "user", "content": "one fish two fish"}], stream=False, @@ -191,3 +196,148 @@ async def do_inference(): assert mock_create_client.call_count == 4 # no cheating assert total_time < (sleep_time * 2), f"Total time taken: {total_time}s exceeded expected max" + + +async def test_vllm_completion_extra_body(): + """ + Test that vLLM-specific guided_choice and prompt_logprobs parameters are correctly forwarded + via extra_body to the underlying OpenAI client through the InferenceRouter. + """ + # Set up the vLLM adapter + config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345") + vllm_adapter = VLLMInferenceAdapter(config=config) + vllm_adapter.__provider_id__ = "vllm" + await vllm_adapter.initialize() + + # Create a mock model store + mock_model_store = AsyncMock() + mock_model = Model(identifier="mock-model", provider_resource_id="mock-model", provider_id="vllm") + mock_model_store.get_model.return_value = mock_model + mock_model_store.has_model.return_value = True + + # Create a mock dist_registry + mock_dist_registry = MagicMock() + mock_dist_registry.get = AsyncMock(return_value=mock_model) + mock_dist_registry.set = AsyncMock() + + # Set up the routing table + routing_table = ModelsRoutingTable( + impls_by_provider_id={"vllm": vllm_adapter}, + dist_registry=mock_dist_registry, + policy=[], + ) + # Inject the model store into the adapter + vllm_adapter.model_store = routing_table + + # Create the InferenceRouter + router = InferenceRouter(routing_table=routing_table) + + # Patch the OpenAI client + with patch.object(VLLMInferenceAdapter, "client", new_callable=PropertyMock) as mock_client_property: + mock_client = MagicMock() + mock_client.completions.create = AsyncMock( + return_value=OpenAICompletion( + id="cmpl-abc123", + created=1, + model="mock-model", + choices=[ + OpenAICompletionChoice( + text="joy", + finish_reason="stop", + index=0, + ) + ], + ) + ) + mock_client_property.return_value = mock_client + + # Test with guided_choice and prompt_logprobs as extra fields + params = OpenAICompletionRequestWithExtraBody( + model="mock-model", + prompt="I am feeling happy", + stream=False, + guided_choice=["joy", "sadness"], + prompt_logprobs=5, + ) + await router.openai_completion(params) + + # Verify that the client was called with extra_body containing both parameters + mock_client.completions.create.assert_called_once() + call_kwargs = mock_client.completions.create.call_args.kwargs + assert "extra_body" in call_kwargs + assert "guided_choice" in call_kwargs["extra_body"] + assert call_kwargs["extra_body"]["guided_choice"] == ["joy", "sadness"] + assert "prompt_logprobs" in call_kwargs["extra_body"] + assert call_kwargs["extra_body"]["prompt_logprobs"] == 5 + + +async def test_vllm_chat_completion_extra_body(): + """ + Test that vLLM-specific parameters (e.g., chat_template_kwargs) are correctly forwarded + via extra_body to the underlying OpenAI client through the InferenceRouter for chat completion. + """ + # Set up the vLLM adapter + config = VLLMInferenceAdapterConfig(url="http://mocked.localhost:12345") + vllm_adapter = VLLMInferenceAdapter(config=config) + vllm_adapter.__provider_id__ = "vllm" + await vllm_adapter.initialize() + + # Create a mock model store + mock_model_store = AsyncMock() + mock_model = Model(identifier="mock-model", provider_resource_id="mock-model", provider_id="vllm") + mock_model_store.get_model.return_value = mock_model + mock_model_store.has_model.return_value = True + + # Create a mock dist_registry + mock_dist_registry = MagicMock() + mock_dist_registry.get = AsyncMock(return_value=mock_model) + mock_dist_registry.set = AsyncMock() + + # Set up the routing table + routing_table = ModelsRoutingTable( + impls_by_provider_id={"vllm": vllm_adapter}, + dist_registry=mock_dist_registry, + policy=[], + ) + # Inject the model store into the adapter + vllm_adapter.model_store = routing_table + + # Create the InferenceRouter + router = InferenceRouter(routing_table=routing_table) + + # Patch the OpenAI client + with patch.object(VLLMInferenceAdapter, "client", new_callable=PropertyMock) as mock_client_property: + mock_client = MagicMock() + mock_client.chat.completions.create = AsyncMock( + return_value=OpenAIChatCompletion( + id="chatcmpl-abc123", + created=1, + model="mock-model", + choices=[ + OpenAIChoice( + message=OpenAIAssistantMessageParam( + content="test response", + ), + finish_reason="stop", + index=0, + ) + ], + ) + ) + mock_client_property.return_value = mock_client + + # Test with chat_template_kwargs as extra field + params = OpenAIChatCompletionRequestWithExtraBody( + model="mock-model", + messages=[{"role": "user", "content": "test"}], + stream=False, + chat_template_kwargs={"thinking": True}, + ) + await router.openai_chat_completion(params) + + # Verify that the client was called with extra_body containing chat_template_kwargs + mock_client.chat.completions.create.assert_called_once() + call_kwargs = mock_client.chat.completions.create.call_args.kwargs + assert "extra_body" in call_kwargs + assert "chat_template_kwargs" in call_kwargs["extra_body"] + assert call_kwargs["extra_body"]["chat_template_kwargs"] == {"thinking": True} diff --git a/tests/unit/providers/utils/inference/test_openai_mixin.py b/tests/unit/providers/utils/inference/test_openai_mixin.py index 4a24d72ed8..80c219055c 100644 --- a/tests/unit/providers/utils/inference/test_openai_mixin.py +++ b/tests/unit/providers/utils/inference/test_openai_mixin.py @@ -12,7 +12,7 @@ import pytest from pydantic import BaseModel, Field -from llama_stack.apis.inference import Model, OpenAIChatCompletionRequest, OpenAIUserMessageParam +from llama_stack.apis.inference import Model, OpenAIChatCompletionRequestWithExtraBody, OpenAIUserMessageParam from llama_stack.apis.models import ModelType from llama_stack.core.request_headers import request_provider_data_context from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig @@ -271,7 +271,7 @@ async def test_openai_chat_completion_with_image_preprocessing_enabled(self, mix with patch("llama_stack.providers.utils.inference.openai_mixin.localize_image_content") as mock_localize: mock_localize.return_value = (b"fake_image_data", "jpeg") - params = OpenAIChatCompletionRequest(model="test-model", messages=[message]) + params = OpenAIChatCompletionRequestWithExtraBody(model="test-model", messages=[message]) await mixin.openai_chat_completion(params) mock_localize.assert_called_once_with("http://example.com/image.jpg") @@ -304,7 +304,7 @@ async def test_openai_chat_completion_with_image_preprocessing_disabled(self, mi with patch.object(type(mixin), "client", new_callable=PropertyMock, return_value=mock_client): with patch("llama_stack.providers.utils.inference.openai_mixin.localize_image_content") as mock_localize: - params = OpenAIChatCompletionRequest(model="test-model", messages=[message]) + params = OpenAIChatCompletionRequestWithExtraBody(model="test-model", messages=[message]) await mixin.openai_chat_completion(params) mock_localize.assert_not_called()