diff --git a/docs/static/deprecated-llama-stack-spec.html b/docs/static/deprecated-llama-stack-spec.html index 59a663543..db75854af 100644 --- a/docs/static/deprecated-llama-stack-spec.html +++ b/docs/static/deprecated-llama-stack-spec.html @@ -8483,6 +8483,28 @@ } } }, + "OpenAIResponseContentPartRefusal": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "refusal", + "default": "refusal", + "description": "Content part type identifier, always \"refusal\"" + }, + "refusal": { + "type": "string", + "description": "Refusal text supplied by the model" + } + }, + "additionalProperties": false, + "required": [ + "type", + "refusal" + ], + "title": "OpenAIResponseContentPartRefusal", + "description": "Refusal content within a streamed response part." + }, "OpenAIResponseError": { "type": "object", "properties": { @@ -9063,6 +9085,23 @@ } }, "OpenAIResponseOutputMessageContent": { + "oneOf": [ + { + "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText" + }, + { + "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + ], + "discriminator": { + "propertyName": "type", + "mapping": { + "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText", + "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + } + }, + "OpenAIResponseOutputMessageContentOutputText": { "type": "object", "properties": { "text": { @@ -9981,28 +10020,6 @@ "title": "OpenAIResponseContentPartReasoningText", "description": "Reasoning text emitted as part of a streamed response." }, - "OpenAIResponseContentPartRefusal": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "refusal", - "default": "refusal", - "description": "Content part type identifier, always \"refusal\"" - }, - "refusal": { - "type": "string", - "description": "Refusal text supplied by the model" - } - }, - "additionalProperties": false, - "required": [ - "type", - "refusal" - ], - "title": "OpenAIResponseContentPartRefusal", - "description": "Refusal content within a streamed response part." - }, "OpenAIResponseObjectStream": { "oneOf": [ { diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index b3a68e1ba..d823b3f59 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -6332,6 +6332,25 @@ components: url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. OpenAIResponseError: type: object properties: @@ -6755,6 +6774,15 @@ components: mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": type: object properties: text: @@ -7466,25 +7494,6 @@ components: title: OpenAIResponseContentPartReasoningText description: >- Reasoning text emitted as part of a streamed response. - OpenAIResponseContentPartRefusal: - type: object - properties: - type: - type: string - const: refusal - default: refusal - description: >- - Content part type identifier, always "refusal" - refusal: - type: string - description: Refusal text supplied by the model - additionalProperties: false - required: - - type - - refusal - title: OpenAIResponseContentPartRefusal - description: >- - Refusal content within a streamed response part. OpenAIResponseObjectStream: oneOf: - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' diff --git a/docs/static/llama-stack-spec.html b/docs/static/llama-stack-spec.html index 12e71d05d..1c37d8534 100644 --- a/docs/static/llama-stack-spec.html +++ b/docs/static/llama-stack-spec.html @@ -5670,6 +5670,7 @@ } } }, +<<<<<<< HEAD "OpenAIResponseInputFunctionToolCallOutput": { "type": "object", "properties": { @@ -5689,16 +5690,38 @@ }, "status": { "type": "string" +======= + "OpenAIResponseContentPartRefusal": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "refusal", + "default": "refusal", + "description": "Content part type identifier, always \"refusal\"" + }, + "refusal": { + "type": "string", + "description": "Refusal text supplied by the model" +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) } }, "additionalProperties": false, "required": [ +<<<<<<< HEAD "call_id", "output", "type" ], "title": "OpenAIResponseInputFunctionToolCallOutput", "description": "This represents the output of a function call that gets passed back to the model." +======= + "type", + "refusal" + ], + "title": "OpenAIResponseContentPartRefusal", + "description": "Refusal content within a streamed response part." +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) }, "OpenAIResponseInputMessageContent": { "oneOf": [ @@ -5905,6 +5928,23 @@ "description": "Corresponds to the various Message types in the Responses API. They are all under one type because the Responses API gives them all the same \"type\" value, and there is no way to tell them apart in certain scenarios." }, "OpenAIResponseOutputMessageContent": { + "oneOf": [ + { + "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText" + }, + { + "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + ], + "discriminator": { + "propertyName": "type", + "mapping": { + "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText", + "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + } + }, + "OpenAIResponseOutputMessageContentOutputText": { "type": "object", "properties": { "text": { @@ -8228,28 +8268,6 @@ "title": "OpenAIResponseContentPartReasoningText", "description": "Reasoning text emitted as part of a streamed response." }, - "OpenAIResponseContentPartRefusal": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "refusal", - "default": "refusal", - "description": "Content part type identifier, always \"refusal\"" - }, - "refusal": { - "type": "string", - "description": "Refusal text supplied by the model" - } - }, - "additionalProperties": false, - "required": [ - "type", - "refusal" - ], - "title": "OpenAIResponseContentPartRefusal", - "description": "Refusal content within a streamed response part." - }, "OpenAIResponseObjectStream": { "oneOf": [ { diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index b589729bf..fcdd866f4 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -4291,6 +4291,7 @@ components: url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' +<<<<<<< HEAD "OpenAIResponseInputFunctionToolCallOutput": type: object properties: @@ -4316,6 +4317,27 @@ components: description: >- This represents the output of a function call that gets passed back to the model. +======= + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) OpenAIResponseInputMessageContent: oneOf: - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' @@ -4462,6 +4484,15 @@ components: under one type because the Responses API gives them all the same "type" value, and there is no way to tell them apart in certain scenarios. OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": type: object properties: text: @@ -6259,25 +6290,6 @@ components: title: OpenAIResponseContentPartReasoningText description: >- Reasoning text emitted as part of a streamed response. - OpenAIResponseContentPartRefusal: - type: object - properties: - type: - type: string - const: refusal - default: refusal - description: >- - Content part type identifier, always "refusal" - refusal: - type: string - description: Refusal text supplied by the model - additionalProperties: false - required: - - type - - refusal - title: OpenAIResponseContentPartRefusal - description: >- - Refusal content within a streamed response part. OpenAIResponseObjectStream: oneOf: - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' diff --git a/docs/static/stainless-llama-stack-spec.html b/docs/static/stainless-llama-stack-spec.html index 0562ac235..5205b3571 100644 --- a/docs/static/stainless-llama-stack-spec.html +++ b/docs/static/stainless-llama-stack-spec.html @@ -7342,6 +7342,7 @@ } } }, +<<<<<<< HEAD "OpenAIResponseInputFunctionToolCallOutput": { "type": "object", "properties": { @@ -7361,16 +7362,38 @@ }, "status": { "type": "string" +======= + "OpenAIResponseContentPartRefusal": { + "type": "object", + "properties": { + "type": { + "type": "string", + "const": "refusal", + "default": "refusal", + "description": "Content part type identifier, always \"refusal\"" + }, + "refusal": { + "type": "string", + "description": "Refusal text supplied by the model" +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) } }, "additionalProperties": false, "required": [ +<<<<<<< HEAD "call_id", "output", "type" ], "title": "OpenAIResponseInputFunctionToolCallOutput", "description": "This represents the output of a function call that gets passed back to the model." +======= + "type", + "refusal" + ], + "title": "OpenAIResponseContentPartRefusal", + "description": "Refusal content within a streamed response part." +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) }, "OpenAIResponseInputMessageContent": { "oneOf": [ @@ -7577,6 +7600,23 @@ "description": "Corresponds to the various Message types in the Responses API. They are all under one type because the Responses API gives them all the same \"type\" value, and there is no way to tell them apart in certain scenarios." }, "OpenAIResponseOutputMessageContent": { + "oneOf": [ + { + "$ref": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText" + }, + { + "$ref": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + ], + "discriminator": { + "propertyName": "type", + "mapping": { + "output_text": "#/components/schemas/OpenAIResponseOutputMessageContentOutputText", + "refusal": "#/components/schemas/OpenAIResponseContentPartRefusal" + } + } + }, + "OpenAIResponseOutputMessageContentOutputText": { "type": "object", "properties": { "text": { @@ -9900,28 +9940,6 @@ "title": "OpenAIResponseContentPartReasoningText", "description": "Reasoning text emitted as part of a streamed response." }, - "OpenAIResponseContentPartRefusal": { - "type": "object", - "properties": { - "type": { - "type": "string", - "const": "refusal", - "default": "refusal", - "description": "Content part type identifier, always \"refusal\"" - }, - "refusal": { - "type": "string", - "description": "Refusal text supplied by the model" - } - }, - "additionalProperties": false, - "required": [ - "type", - "refusal" - ], - "title": "OpenAIResponseContentPartRefusal", - "description": "Refusal content within a streamed response part." - }, "OpenAIResponseObjectStream": { "oneOf": [ { diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index e7819c47a..a9ef17d37 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -5504,6 +5504,7 @@ components: url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' +<<<<<<< HEAD "OpenAIResponseInputFunctionToolCallOutput": type: object properties: @@ -5529,6 +5530,27 @@ components: description: >- This represents the output of a function call that gets passed back to the model. +======= + OpenAIResponseContentPartRefusal: + type: object + properties: + type: + type: string + const: refusal + default: refusal + description: >- + Content part type identifier, always "refusal" + refusal: + type: string + description: Refusal text supplied by the model + additionalProperties: false + required: + - type + - refusal + title: OpenAIResponseContentPartRefusal + description: >- + Refusal content within a streamed response part. +>>>>>>> 181046f9 (feat: Add responses and safety impl extra_body) OpenAIResponseInputMessageContent: oneOf: - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' @@ -5675,6 +5697,15 @@ components: under one type because the Responses API gives them all the same "type" value, and there is no way to tell them apart in certain scenarios. OpenAIResponseOutputMessageContent: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + "OpenAIResponseOutputMessageContentOutputText": type: object properties: text: @@ -7472,25 +7503,6 @@ components: title: OpenAIResponseContentPartReasoningText description: >- Reasoning text emitted as part of a streamed response. - OpenAIResponseContentPartRefusal: - type: object - properties: - type: - type: string - const: refusal - default: refusal - description: >- - Content part type identifier, always "refusal" - refusal: - type: string - description: Refusal text supplied by the model - additionalProperties: false - required: - - type - - refusal - title: OpenAIResponseContentPartRefusal - description: >- - Refusal content within a streamed response part. OpenAIResponseObjectStream: oneOf: - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' diff --git a/llama_stack/apis/agents/openai_responses.py b/llama_stack/apis/agents/openai_responses.py index 46f73db48..25dc89a6b 100644 --- a/llama_stack/apis/agents/openai_responses.py +++ b/llama_stack/apis/agents/openai_responses.py @@ -131,8 +131,20 @@ class OpenAIResponseOutputMessageContentOutputText(BaseModel): annotations: list[OpenAIResponseAnnotations] = Field(default_factory=list) +@json_schema_type +class OpenAIResponseContentPartRefusal(BaseModel): + """Refusal content within a streamed response part. + + :param type: Content part type identifier, always "refusal" + :param refusal: Refusal text supplied by the model + """ + + type: Literal["refusal"] = "refusal" + refusal: str + + OpenAIResponseOutputMessageContent = Annotated[ - OpenAIResponseOutputMessageContentOutputText, + OpenAIResponseOutputMessageContentOutputText | OpenAIResponseContentPartRefusal, Field(discriminator="type"), ] register_schema(OpenAIResponseOutputMessageContent, name="OpenAIResponseOutputMessageContent") @@ -878,18 +890,6 @@ class OpenAIResponseContentPartOutputText(BaseModel): logprobs: list[dict[str, Any]] | None = None -@json_schema_type -class OpenAIResponseContentPartRefusal(BaseModel): - """Refusal content within a streamed response part. - - :param type: Content part type identifier, always "refusal" - :param refusal: Refusal text supplied by the model - """ - - type: Literal["refusal"] = "refusal" - refusal: str - - @json_schema_type class OpenAIResponseContentPartReasoningText(BaseModel): """Reasoning text emitted as part of a streamed response. diff --git a/llama_stack/providers/inline/agents/meta_reference/agents.py b/llama_stack/providers/inline/agents/meta_reference/agents.py index 27d3a94cc..db85614a8 100644 --- a/llama_stack/providers/inline/agents/meta_reference/agents.py +++ b/llama_stack/providers/inline/agents/meta_reference/agents.py @@ -91,6 +91,7 @@ class MetaReferenceAgentsImpl(Agents): tool_runtime_api=self.tool_runtime_api, responses_store=self.responses_store, vector_io_api=self.vector_io_api, + safety_api=self.safety_api, conversations_api=self.conversations_api, ) diff --git a/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py b/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py index 13b6356a9..4faec15da 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/openai_responses.py @@ -15,12 +15,15 @@ from llama_stack.apis.agents.openai_responses import ( ListOpenAIResponseInputItem, ListOpenAIResponseObject, OpenAIDeleteResponseObject, + OpenAIResponseContentPartRefusal, OpenAIResponseInput, OpenAIResponseInputMessageContentText, OpenAIResponseInputTool, OpenAIResponseMessage, OpenAIResponseObject, OpenAIResponseObjectStream, + OpenAIResponseObjectStreamResponseCompleted, + OpenAIResponseObjectStreamResponseCreated, OpenAIResponseText, OpenAIResponseTextFormat, ) @@ -34,6 +37,7 @@ from llama_stack.apis.inference import ( OpenAIMessageParam, OpenAISystemMessageParam, ) +from llama_stack.apis.safety import Safety from llama_stack.apis.tools import ToolGroups, ToolRuntime from llama_stack.apis.vector_io import VectorIO from llama_stack.log import get_logger @@ -48,6 +52,7 @@ from .types import ChatCompletionContext, ToolContext from .utils import ( convert_response_input_to_chat_messages, convert_response_text_to_chat_response_format, + extract_shield_ids, ) logger = get_logger(name=__name__, category="openai_responses") @@ -66,6 +71,7 @@ class OpenAIResponsesImpl: tool_runtime_api: ToolRuntime, responses_store: ResponsesStore, vector_io_api: VectorIO, # VectorIO + safety_api: Safety, conversations_api: Conversations, ): self.inference_api = inference_api @@ -73,6 +79,7 @@ class OpenAIResponsesImpl: self.tool_runtime_api = tool_runtime_api self.responses_store = responses_store self.vector_io_api = vector_io_api + self.safety_api = safety_api self.conversations_api = conversations_api self.tool_executor = ToolExecutor( tool_groups_api=tool_groups_api, @@ -237,9 +244,7 @@ class OpenAIResponsesImpl: stream = bool(stream) text = OpenAIResponseText(format=OpenAIResponseTextFormat(type="text")) if text is None else text - # Shields parameter received via extra_body - not yet implemented - if shields is not None: - raise NotImplementedError("Shields parameter is not yet implemented in the meta-reference provider") + shield_ids = extract_shield_ids(shields) if shields else [] if conversation is not None: if previous_response_id is not None: @@ -261,6 +266,7 @@ class OpenAIResponsesImpl: text=text, tools=tools, max_infer_iters=max_infer_iters, + shield_ids=shield_ids, ) if stream: @@ -294,6 +300,30 @@ class OpenAIResponsesImpl: raise ValueError("The response stream never reached a terminal state") return final_response + async def _create_refusal_response_events( + self, refusal_content: OpenAIResponseContentPartRefusal, response_id: str, created_at: int, model: str + ) -> AsyncIterator[OpenAIResponseObjectStream]: + """Create and yield refusal response events following the established streaming pattern.""" + # Create initial response and yield created event + initial_response = OpenAIResponseObject( + id=response_id, + created_at=created_at, + model=model, + status="in_progress", + output=[], + ) + yield OpenAIResponseObjectStreamResponseCreated(response=initial_response) + + # Create completed refusal response using OpenAIResponseContentPartRefusal + refusal_response = OpenAIResponseObject( + id=response_id, + created_at=created_at, + model=model, + status="completed", + output=[OpenAIResponseMessage(role="assistant", content=[refusal_content], type="message")], + ) + yield OpenAIResponseObjectStreamResponseCompleted(response=refusal_response) + async def _create_streaming_response( self, input: str | list[OpenAIResponseInput], @@ -306,6 +336,7 @@ class OpenAIResponsesImpl: text: OpenAIResponseText | None = None, tools: list[OpenAIResponseInputTool] | None = None, max_infer_iters: int | None = 10, + shield_ids: list[str] | None = None, ) -> AsyncIterator[OpenAIResponseObjectStream]: # Input preprocessing all_input, messages, tool_context = await self._process_input_with_previous_response( @@ -340,8 +371,11 @@ class OpenAIResponsesImpl: text=text, max_infer_iters=max_infer_iters, tool_executor=self.tool_executor, + safety_api=self.safety_api, + shield_ids=shield_ids, ) + # Output safety validation hook - delegated to streaming orchestrator for real-time validation # Stream the response final_response = None failed_response = 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 4dd92b293..d06b54d37 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -56,7 +56,9 @@ from llama_stack.apis.agents.openai_responses import ( WebSearchToolTypes, ) from llama_stack.apis.inference import ( + CompletionMessage, Inference, + Message, OpenAIAssistantMessageParam, OpenAIChatCompletion, OpenAIChatCompletionChunk, @@ -64,12 +66,18 @@ from llama_stack.apis.inference import ( OpenAIChatCompletionToolCall, OpenAIChoice, OpenAIMessageParam, + StopReason, ) from llama_stack.log import get_logger from llama_stack.providers.utils.telemetry import tracing +from ..safety import SafetyException from .types import ChatCompletionContext, ChatCompletionResult -from .utils import convert_chat_choice_to_response_message, is_function_tool_call +from .utils import ( + convert_chat_choice_to_response_message, + is_function_tool_call, + run_multiple_shields, +) logger = get_logger(name=__name__, category="agents::meta_reference") @@ -105,6 +113,8 @@ class StreamingResponseOrchestrator: text: OpenAIResponseText, max_infer_iters: int, tool_executor, # Will be the tool execution logic from the main class + safety_api, + shield_ids: list[str] | None = None, ): self.inference_api = inference_api self.ctx = ctx @@ -113,6 +123,8 @@ class StreamingResponseOrchestrator: self.text = text self.max_infer_iters = max_infer_iters self.tool_executor = tool_executor + self.safety_api = safety_api + self.shield_ids = shield_ids or [] self.sequence_number = 0 # Store MCP tool mapping that gets built during tool processing self.mcp_tool_to_server: dict[str, OpenAIResponseInputToolMCP] = ctx.tool_context.previous_tools or {} @@ -122,6 +134,60 @@ class StreamingResponseOrchestrator: self.citation_files: dict[str, str] = {} # Track accumulated usage across all inference calls self.accumulated_usage: OpenAIResponseUsage | None = None + # Track if we've sent a refusal response + self.violation_detected = False + + async def _check_input_safety(self, messages: list[Message]) -> OpenAIResponseContentPartRefusal | None: + """Validate input messages against shields. Returns refusal content if violation found.""" + try: + await run_multiple_shields(self.safety_api, messages, self.shield_ids) + except SafetyException as e: + logger.info(f"Input shield violation: {e.violation.user_message}") + return OpenAIResponseContentPartRefusal( + refusal=e.violation.user_message or "Content blocked by safety shields" + ) + + async def _create_input_refusal_response_events( + self, refusal_content: OpenAIResponseContentPartRefusal + ) -> AsyncIterator[OpenAIResponseObjectStream]: + """Create refusal response events for input safety violations.""" + # Create the refusal content part explicitly with the correct structure + refusal_response = OpenAIResponseObject( + id=self.response_id, + created_at=self.created_at, + model=self.ctx.model, + status="completed", + output=[OpenAIResponseMessage(role="assistant", content=[refusal_content], type="message")], + ) + yield OpenAIResponseObjectStreamResponseCompleted(response=refusal_response) + + async def _check_output_stream_chunk_safety(self, accumulated_text: str) -> str | None: + """Check accumulated streaming text content against shields. Returns violation message if blocked.""" + if not self.shield_ids or not accumulated_text: + return None + + messages = [CompletionMessage(content=accumulated_text, stop_reason=StopReason.end_of_turn)] + + try: + await run_multiple_shields(self.safety_api, messages, self.shield_ids) + except SafetyException as e: + logger.info(f"Output shield violation: {e.violation.user_message}") + return e.violation.user_message or "Generated content blocked by safety shields" + + async def _create_refusal_response(self, violation_message: str) -> OpenAIResponseObjectStream: + """Create a refusal response to replace streaming content.""" + refusal_content = OpenAIResponseContentPartRefusal(refusal=violation_message) + + # Create a completed refusal response + refusal_response = OpenAIResponseObject( + id=self.response_id, + created_at=self.created_at, + model=self.ctx.model, + status="completed", + output=[OpenAIResponseMessage(role="assistant", content=[refusal_content], type="message")], + ) + + return OpenAIResponseObjectStreamResponseCompleted(response=refusal_response) def _clone_outputs(self, outputs: list[OpenAIResponseOutput]) -> list[OpenAIResponseOutput]: cloned: list[OpenAIResponseOutput] = [] @@ -166,6 +232,15 @@ class StreamingResponseOrchestrator: sequence_number=self.sequence_number, ) + # Input safety validation - check messages before processing + if self.shield_ids: + input_refusal = await self._check_input_safety(self.ctx.messages) + if input_refusal: + # Return refusal response immediately + async for refusal_event in self._create_input_refusal_response_events(input_refusal): + yield refusal_event + return + async for stream_event in self._process_tools(output_messages): yield stream_event @@ -201,6 +276,11 @@ class StreamingResponseOrchestrator: 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 + if not completion_result_data: raise ValueError("Streaming chunk processor failed to return completion data") last_completion_result = completion_result_data @@ -664,6 +744,15 @@ class StreamingResponseOrchestrator: response_tool_call.function.arguments or "" ) + tool_call.function.arguments + # Safety check after processing all choices in this chunk + if chat_response_content: + accumulated_text = "".join(chat_response_content) + violation_message = await self._check_output_stream_chunk_safety(accumulated_text) + if violation_message: + yield await self._create_refusal_response(violation_message) + self.violation_detected = True + return + # Emit arguments.done events for completed tool calls (differentiate between MCP and function calls) for tool_call_index in sorted(chat_response_tool_calls.keys()): tool_call = chat_response_tool_calls[tool_call_index] diff --git a/llama_stack/providers/inline/agents/meta_reference/responses/utils.py b/llama_stack/providers/inline/agents/meta_reference/responses/utils.py index e67e9bdca..263e7ac9a 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/utils.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/utils.py @@ -4,9 +4,11 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. +import asyncio import re import uuid +from llama_stack.apis.agents.agents import ResponseShieldSpec from llama_stack.apis.agents.openai_responses import ( OpenAIResponseAnnotationFileCitation, OpenAIResponseInput, @@ -26,6 +28,7 @@ from llama_stack.apis.agents.openai_responses import ( OpenAIResponseText, ) from llama_stack.apis.inference import ( + Message, OpenAIAssistantMessageParam, OpenAIChatCompletionContentPartImageParam, OpenAIChatCompletionContentPartParam, @@ -45,6 +48,7 @@ from llama_stack.apis.inference import ( OpenAIToolMessageParam, OpenAIUserMessageParam, ) +from llama_stack.apis.safety import Safety async def convert_chat_choice_to_response_message( @@ -240,7 +244,8 @@ async def convert_response_text_to_chat_response_format( raise ValueError(f"Unsupported text format: {text.format}") -async def get_message_type_by_role(role: str): +async def get_message_type_by_role(role: str) -> type[OpenAIMessageParam] | None: + """Get the appropriate OpenAI message parameter type for a given role.""" role_to_type = { "user": OpenAIUserMessageParam, "system": OpenAISystemMessageParam, @@ -307,3 +312,54 @@ def is_function_tool_call( if t.type == "function" and t.name == tool_call.function.name: return True return False + + +async def run_multiple_shields(safety_api: Safety, messages: list[Message], shield_ids: list[str]) -> None: + """Run multiple shields against messages and raise SafetyException for violations.""" + if not shield_ids or not messages: + return + shield_tasks = [ + safety_api.run_shield(shield_id=shield_id, messages=messages, params={}) for shield_id in shield_ids + ] + + responses = await asyncio.gather(*shield_tasks) + + for response in responses: + if response.violation and response.violation.violation_level.name == "ERROR": + from ..safety import SafetyException + + raise SafetyException(response.violation) + + +def extract_shield_ids(shields: list | None) -> list[str]: + """Extract shield IDs from shields parameter, handling both string IDs and ResponseShieldSpec objects.""" + if not shields: + return [] + + shield_ids = [] + for shield in shields: + if isinstance(shield, str): + shield_ids.append(shield) + elif isinstance(shield, ResponseShieldSpec): + shield_ids.append(shield.type) + else: + raise ValueError(f"Unknown shield format: {shield}, expected str or ResponseShieldSpec") + + return shield_ids + + +def extract_text_content(content: str | list | None) -> str | None: + """Extract text content from OpenAI message content (string or complex structure).""" + if isinstance(content, str): + return content + elif isinstance(content, list): + # Handle complex content - extract text parts only + text_parts = [] + for part in content: + if hasattr(part, "text"): + text_parts.append(part.text) + elif hasattr(part, "type") and part.type == "refusal": + # Skip refusal parts - don't validate them again + continue + return " ".join(text_parts) if text_parts else None + return None diff --git a/tests/integration/agents/recordings/00f53413463a0b445e65d8aa96cc848c8450c307687876c17b0353bdfc944eb7.json b/tests/integration/agents/recordings/00f53413463a0b445e65d8aa96cc848c8450c307687876c17b0353bdfc944eb7.json new file mode 100644 index 000000000..30df0d9d6 --- /dev/null +++ b/tests/integration/agents/recordings/00f53413463a0b445e65d8aa96cc848c8450c307687876c17b0353bdfc944eb7.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-False]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Violent content\n\n\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-00f53413463a", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "safe", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 2, + "prompt_tokens": 387, + "total_tokens": 389, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/0234806caaa93bde97a5ee06a9c50dc689c82e8b169f417212ab9ffa1d72598f.json b/tests/integration/agents/recordings/0234806caaa93bde97a5ee06a9c50dc689c82e8b169f417212ab9ffa1d72598f.json new file mode 100644 index 000000000..d7da159a2 --- /dev/null +++ b/tests/integration/agents/recordings/0234806caaa93bde97a5ee06a9c50dc689c82e8b169f417212ab9ffa1d72598f.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-True]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Violent content refers to material that depicts or\n\n\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-0234806caaa9", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "safe", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 2, + "prompt_tokens": 393, + "total_tokens": 395, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/03e5715c52f4d20442de9cdd006600fe64d76380927c84ff86f764bb14e193b4.json b/tests/integration/agents/recordings/03e5715c52f4d20442de9cdd006600fe64d76380927c84ff86f764bb14e193b4.json new file mode 100644 index 000000000..4f3edcb02 --- /dev/null +++ b/tests/integration/agents/recordings/03e5715c52f4d20442de9cdd006600fe64d76380927c84ff86f764bb14e193b4.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-True]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Violent content refers to material that depicts or promotes physical harm, aggression, or violence towards individuals, animals, or objects. This can include visual, auditory, or textual depictions, such as:\n\n1. Graphic violence: scenes of intense\n\n\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-03e5715c52f4", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "safe", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 2, + "prompt_tokens": 432, + "total_tokens": 434, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/06f9491c8863f3e6ebb3b02a49cff6bbf0edeab78f0899244198c7b28365f563.json b/tests/integration/agents/recordings/06f9491c8863f3e6ebb3b02a49cff6bbf0edeab78f0899244198c7b28365f563.json new file mode 100644 index 000000000..d94a08be3 --- /dev/null +++ b/tests/integration/agents/recordings/06f9491c8863f3e6ebb3b02a49cff6bbf0edeab78f0899244198c7b28365f563.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-True]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Violent content refers to material that depicts or promotes physical harm, aggression,\n\n\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - First line must read 'safe' or 'unsafe'.\n - If unsafe, a second line must include a comma-separated list of violated categories." + } + ], + "stream": false, + "temperature": 0.0 + }, + "endpoint": "/v1/chat/completions", + "model": "llama-guard3:1b" + }, + "response": { + "body": { + "__type__": "openai.types.chat.chat_completion.ChatCompletion", + "__data__": { + "id": "rec-06f9491c8863", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + "content": "safe", + "refusal": null, + "role": "assistant", + "annotations": null, + "audio": null, + "function_call": null, + "tool_calls": null + } + } + ], + "created": 0, + "model": "llama-guard3:1b", + "object": "chat.completion", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": { + "completion_tokens": 2, + "prompt_tokens": 398, + "total_tokens": 400, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/086c1807c6c778d156d4f88a88aa6082926e296402f0329f8cee22c3204b8d33.json b/tests/integration/agents/recordings/086c1807c6c778d156d4f88a88aa6082926e296402f0329f8cee22c3204b8d33.json new file mode 100644 index 000000000..a1669e009 --- /dev/null +++ b/tests/integration/agents/recordings/086c1807c6c778d156d4f88a88aa6082926e296402f0329f8cee22c3204b8d33.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_openai_responses.py::test_output_safety_shields[openai_client-txt=ollama/llama3.2:3b-instruct-fp16-False]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama-guard3:1b", + "messages": [ + { + "role": "user", + "content": "Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.\n\n\nS1: Violent Crimes.\nS2: Non-Violent Crimes.\nS3: Sex Crimes.\nS4: Child Exploitation.\nS5: Defamation.\nS6: Specialized Advice.\nS7: Privacy.\nS8: Intellectual Property.\nS9: Indiscriminate Weapons.\nS10: Hate.\nS11: Self-Harm.\nS12: Sexual Content.\nS13: Elections.\nS14: Code Interpreter Abuse.\n\n\n\n\nUser: Violent content refers to materials or expressions that depict or describe\n\n\n\nProvide your safety assessment for ONLY THE LAST User message in the above conversation:\n - 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Educational violent content → shield allows output → normal response + # 2. Violent techniques content → shield blocks output → refusal response + response = compat_client.responses.create( + model=text_model_id, + input=[ + { + "role": "user", + "content": "Describe violent content.", + } + ], + stream=stream, + extra_body={"shields": ["llama-guard"]}, # Output shield validation + ) + + if stream: + # For streaming, violations cause stream to end with refusal completion + last_chunk = None + for chunk in response: + last_chunk = chunk + + assert last_chunk is not None + assert last_chunk.type == "response.completed", f"Expected final chunk to be completion, got {last_chunk.type}" + response_to_check = last_chunk.response + else: + response_to_check = response + + assert response_to_check.output[0].type == "message" + message = response_to_check.output[0] + + assert len(message.content) > 0, "Message should have content" + content_item = message.content[0] + assert content_item.type == "refusal", f"Content type should be 'refusal', got {content_item.type}" + + +def test_shields_with_tools(compat_client, text_model_id): + """Test that shields work correctly when tools are present.""" + if not isinstance(compat_client, OpenAI): + pytest.skip("OpenAI client is required until responses API exists in llama-stack-client") + + response = compat_client.responses.create( + model=text_model_id, + input=[ + { + "role": "user", + "content": "What's the weather like? Please help me in a safe and appropriate way.", + } + ], + tools=[ + { + "type": "function", + "name": "get_weather", + "description": "Get the weather in a given city", + "parameters": { + "type": "object", + "properties": { + "city": {"type": "string", "description": "The city to get the weather for"}, + }, + }, + } + ], + extra_body={"shields": ["llama-guard"]}, + stream=False, + ) + + # Verify response completes successfully with tools and shields + assert response.id is not None + assert len(response.output) > 0 + + # Response should be either a function call or a message + output_type = response.output[0].type + assert output_type in ["function_call", "message"] 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 81978c60c..e93668a62 100644 --- a/tests/unit/providers/agents/meta_reference/test_openai_responses.py +++ b/tests/unit/providers/agents/meta_reference/test_openai_responses.py @@ -91,6 +91,12 @@ def mock_conversations_api(): return mock_api +@pytest.fixture +def mock_safety_api(): + safety_api = AsyncMock() + return safety_api + + @pytest.fixture def openai_responses_impl( mock_inference_api, @@ -98,6 +104,7 @@ def openai_responses_impl( mock_tool_runtime_api, mock_responses_store, mock_vector_io_api, + mock_safety_api, mock_conversations_api, ): return OpenAIResponsesImpl( @@ -106,6 +113,7 @@ def openai_responses_impl( tool_runtime_api=mock_tool_runtime_api, responses_store=mock_responses_store, vector_io_api=mock_vector_io_api, + safety_api=mock_safety_api, conversations_api=mock_conversations_api, ) diff --git a/tests/unit/providers/agents/meta_reference/test_responses_safety_utils.py b/tests/unit/providers/agents/meta_reference/test_responses_safety_utils.py new file mode 100644 index 000000000..b5abf67d0 --- /dev/null +++ b/tests/unit/providers/agents/meta_reference/test_responses_safety_utils.py @@ -0,0 +1,160 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +from unittest.mock import AsyncMock, MagicMock + +import pytest + +from llama_stack.apis.agents.agents import ResponseShieldSpec +from llama_stack.providers.inline.agents.meta_reference.responses.openai_responses import ( + OpenAIResponsesImpl, +) +from llama_stack.providers.inline.agents.meta_reference.responses.utils import ( + extract_shield_ids, + extract_text_content, +) + + +@pytest.fixture +def mock_apis(): + """Create mock APIs for testing.""" + return { + "inference_api": AsyncMock(), + "tool_groups_api": AsyncMock(), + "tool_runtime_api": AsyncMock(), + "responses_store": AsyncMock(), + "vector_io_api": AsyncMock(), + "conversations_api": AsyncMock(), + "safety_api": AsyncMock(), + } + + +@pytest.fixture +def responses_impl(mock_apis): + """Create OpenAIResponsesImpl instance with mocked dependencies.""" + return OpenAIResponsesImpl(**mock_apis) + + +def test_extract_shield_ids_from_strings(responses_impl): + """Test extraction from simple string shield IDs.""" + shields = ["llama-guard", "content-filter", "nsfw-detector"] + result = extract_shield_ids(shields) + assert result == ["llama-guard", "content-filter", "nsfw-detector"] + + +def test_extract_shield_ids_from_objects(responses_impl): + """Test extraction from ResponseShieldSpec objects.""" + shields = [ + ResponseShieldSpec(type="llama-guard"), + ResponseShieldSpec(type="content-filter"), + ] + result = extract_shield_ids(shields) + assert result == ["llama-guard", "content-filter"] + + +def test_extract_shield_ids_mixed_formats(responses_impl): + """Test extraction from mixed string and object formats.""" + shields = [ + "llama-guard", + ResponseShieldSpec(type="content-filter"), + "nsfw-detector", + ] + result = extract_shield_ids(shields) + assert result == ["llama-guard", "content-filter", "nsfw-detector"] + + +def test_extract_shield_ids_none_input(responses_impl): + """Test extraction with None input.""" + result = extract_shield_ids(None) + assert result == [] + + +def test_extract_shield_ids_empty_list(responses_impl): + """Test extraction with empty list.""" + result = extract_shield_ids([]) + assert result == [] + + +def test_extract_shield_ids_unknown_format(responses_impl): + """Test extraction with unknown shield format raises ValueError.""" + # Create an object that's neither string nor ResponseShieldSpec + unknown_object = {"invalid": "format"} # Plain dict, not ResponseShieldSpec + shields = ["valid-shield", unknown_object, "another-shield"] + with pytest.raises(ValueError, match="Unknown shield format.*expected str or ResponseShieldSpec"): + extract_shield_ids(shields) + + +def test_extract_text_content_string(responses_impl): + """Test extraction from simple string content.""" + content = "Hello world" + result = extract_text_content(content) + assert result == "Hello world" + + +def test_extract_text_content_list_with_text(responses_impl): + """Test extraction from list content with text parts.""" + content = [ + MagicMock(text="Hello "), + MagicMock(text="world"), + ] + result = extract_text_content(content) + assert result == "Hello world" + + +def test_extract_text_content_list_with_refusal(responses_impl): + """Test extraction skips refusal parts.""" + # Create text parts + text_part1 = MagicMock() + text_part1.text = "Hello" + + text_part2 = MagicMock() + text_part2.text = "world" + + # Create refusal part (no text attribute) + refusal_part = MagicMock() + refusal_part.type = "refusal" + refusal_part.refusal = "Blocked" + del refusal_part.text # Remove text attribute + + content = [text_part1, refusal_part, text_part2] + result = extract_text_content(content) + assert result == "Hello world" + + +def test_extract_text_content_empty_list(responses_impl): + """Test extraction from empty list returns None.""" + content = [] + result = extract_text_content(content) + assert result is None + + +def test_extract_text_content_no_text_parts(responses_impl): + """Test extraction with no text parts returns None.""" + # Create image part (no text attribute) + image_part = MagicMock() + image_part.type = "image" + image_part.image_url = "http://example.com" + + # Create refusal part (no text attribute) + refusal_part = MagicMock() + refusal_part.type = "refusal" + refusal_part.refusal = "Blocked" + + # Explicitly remove text attributes to simulate non-text parts + if hasattr(image_part, "text"): + delattr(image_part, "text") + if hasattr(refusal_part, "text"): + delattr(refusal_part, "text") + + content = [image_part, refusal_part] + result = extract_text_content(content) + assert result is None + + +def test_extract_text_content_none_input(responses_impl): + """Test extraction with None input returns None.""" + result = extract_text_content(None) + assert result is None diff --git a/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py b/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py index 4b706717d..343ebc0b3 100644 --- a/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py +++ b/tests/unit/providers/inline/agents/meta_reference/responses/test_streaming.py @@ -4,10 +4,44 @@ # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. +from unittest.mock import AsyncMock + +import pytest + +from llama_stack.apis.agents.openai_responses import ( + OpenAIResponseContentPartRefusal, + OpenAIResponseText, +) +from llama_stack.apis.inference import UserMessage +from llama_stack.apis.safety import SafetyViolation, ViolationLevel from llama_stack.apis.tools import ToolDef from llama_stack.providers.inline.agents.meta_reference.responses.streaming import ( + StreamingResponseOrchestrator, convert_tooldef_to_chat_tool, ) +from llama_stack.providers.inline.agents.meta_reference.responses.types import ChatCompletionContext + + +@pytest.fixture +def mock_safety_api(): + safety_api = AsyncMock() + return safety_api + + +@pytest.fixture +def mock_inference_api(): + inference_api = AsyncMock() + return inference_api + + +@pytest.fixture +def mock_context(): + context = AsyncMock(spec=ChatCompletionContext) + # Add required attributes that StreamingResponseOrchestrator expects + context.tool_context = AsyncMock() + context.tool_context.previous_tools = {} + context.messages = [] + return context def test_convert_tooldef_to_chat_tool_preserves_items_field(): @@ -36,3 +70,89 @@ def test_convert_tooldef_to_chat_tool_preserves_items_field(): assert tags_param["type"] == "array" assert "items" in tags_param, "items field should be preserved for array parameters" assert tags_param["items"] == {"type": "string"} + + +async def test_check_input_safety_no_violation(mock_safety_api, mock_inference_api, mock_context): + """Test input shield validation with no violations.""" + messages = [UserMessage(content="Hello world")] + shield_ids = ["llama-guard"] + + # Mock successful shield validation (no violation) + mock_response = AsyncMock() + mock_response.violation = None + mock_safety_api.run_shield.return_value = mock_response + + # Create orchestrator with safety components + orchestrator = StreamingResponseOrchestrator( + inference_api=mock_inference_api, + ctx=mock_context, + response_id="test_id", + created_at=1234567890, + text=OpenAIResponseText(), + max_infer_iters=5, + tool_executor=AsyncMock(), + safety_api=mock_safety_api, + shield_ids=shield_ids, + ) + + result = await orchestrator._check_input_safety(messages) + + assert result is None + mock_safety_api.run_shield.assert_called_once_with(shield_id="llama-guard", messages=messages, params={}) + + +async def test_check_input_safety_with_violation(mock_safety_api, mock_inference_api, mock_context): + """Test input shield validation with safety violation.""" + messages = [UserMessage(content="Harmful content")] + shield_ids = ["llama-guard"] + + # Mock shield violation + violation = SafetyViolation( + violation_level=ViolationLevel.ERROR, user_message="Content violates safety guidelines", metadata={} + ) + mock_response = AsyncMock() + mock_response.violation = violation + mock_safety_api.run_shield.return_value = mock_response + + # Create orchestrator with safety components + orchestrator = StreamingResponseOrchestrator( + inference_api=mock_inference_api, + ctx=mock_context, + response_id="test_id", + created_at=1234567890, + text=OpenAIResponseText(), + max_infer_iters=5, + tool_executor=AsyncMock(), + safety_api=mock_safety_api, + shield_ids=shield_ids, + ) + + result = await orchestrator._check_input_safety(messages) + + assert isinstance(result, OpenAIResponseContentPartRefusal) + assert result.refusal == "Content violates safety guidelines" + + +async def test_check_input_safety_empty_inputs(mock_safety_api, mock_inference_api, mock_context): + """Test input shield validation with empty inputs.""" + # Create orchestrator with safety components + orchestrator = StreamingResponseOrchestrator( + inference_api=mock_inference_api, + ctx=mock_context, + response_id="test_id", + created_at=1234567890, + text=OpenAIResponseText(), + max_infer_iters=5, + tool_executor=AsyncMock(), + safety_api=mock_safety_api, + shield_ids=[], + ) + + # Test empty shield_ids + result = await orchestrator._check_input_safety([UserMessage(content="test")]) + assert result is None + + # Test empty messages + orchestrator.shield_ids = ["llama-guard"] + result = await orchestrator._check_input_safety([]) + assert result is None