diff --git a/docs/static/deprecated-llama-stack-spec.html b/docs/static/deprecated-llama-stack-spec.html index 60a8b9fbd..98ed50c4f 100644 --- a/docs/static/deprecated-llama-stack-spec.html +++ b/docs/static/deprecated-llama-stack-spec.html @@ -9024,6 +9024,10 @@ "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" + }, "input": { "type": "array", "items": { @@ -9901,6 +9905,10 @@ "usage": { "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" + }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" } }, "additionalProperties": false, diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index aaa6cd413..99c8dd03e 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -6734,6 +6734,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context input: type: array items: @@ -7403,6 +7407,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context additionalProperties: false required: - created_at diff --git a/docs/static/llama-stack-spec.html b/docs/static/llama-stack-spec.html index 413e4f23e..1091a1cb6 100644 --- a/docs/static/llama-stack-spec.html +++ b/docs/static/llama-stack-spec.html @@ -7600,6 +7600,10 @@ "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" + }, "input": { "type": "array", "items": { @@ -8148,6 +8152,10 @@ "usage": { "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" + }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" } }, "additionalProperties": false, diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index 93e51de6a..6c3702374 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -5815,6 +5815,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context input: type: array items: @@ -6218,6 +6222,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context additionalProperties: false required: - created_at diff --git a/docs/static/stainless-llama-stack-spec.html b/docs/static/stainless-llama-stack-spec.html index 858f20725..ee0a265d3 100644 --- a/docs/static/stainless-llama-stack-spec.html +++ b/docs/static/stainless-llama-stack-spec.html @@ -9272,6 +9272,10 @@ "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" + }, "input": { "type": "array", "items": { @@ -9820,6 +9824,10 @@ "usage": { "$ref": "#/components/schemas/OpenAIResponseUsage", "description": "(Optional) Token usage information for the response" + }, + "instructions": { + "type": "string", + "description": "(Optional) System message inserted into the model's context" } }, "additionalProperties": false, diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 886549dbc..eff01931f 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -7028,6 +7028,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context input: type: array items: @@ -7431,6 +7435,10 @@ components: $ref: '#/components/schemas/OpenAIResponseUsage' description: >- (Optional) Token usage information for the response + instructions: + type: string + description: >- + (Optional) System message inserted into the model's context additionalProperties: false required: - created_at diff --git a/llama_stack/apis/agents/openai_responses.py b/llama_stack/apis/agents/openai_responses.py index 25dc89a6b..821d6a8af 100644 --- a/llama_stack/apis/agents/openai_responses.py +++ b/llama_stack/apis/agents/openai_responses.py @@ -545,6 +545,7 @@ class OpenAIResponseObject(BaseModel): :param tools: (Optional) An array of tools the model may call while generating a response. :param truncation: (Optional) Truncation strategy applied to the response :param usage: (Optional) Token usage information for the response + :param instructions: (Optional) System message inserted into the model's context """ created_at: int @@ -564,6 +565,7 @@ class OpenAIResponseObject(BaseModel): tools: list[OpenAIResponseTool] | None = None truncation: str | None = None usage: OpenAIResponseUsage | None = None + instructions: str | None = None @json_schema_type 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 851e6ef28..2360dafd9 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 @@ -359,6 +359,7 @@ class OpenAIResponsesImpl: tool_executor=self.tool_executor, safety_api=self.safety_api, guardrail_ids=guardrail_ids, + instructions=instructions, ) # Stream the response 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 caf899cdd..e80ffcdd1 100644 --- a/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py +++ b/llama_stack/providers/inline/agents/meta_reference/responses/streaming.py @@ -110,6 +110,7 @@ class StreamingResponseOrchestrator: text: OpenAIResponseText, max_infer_iters: int, tool_executor, # Will be the tool execution logic from the main class + instructions: str, safety_api, guardrail_ids: list[str] | None = None, ): @@ -133,6 +134,8 @@ class StreamingResponseOrchestrator: self.accumulated_usage: OpenAIResponseUsage | None = None # Track if we've sent a refusal response self.violation_detected = False + # system message that is inserted into the model's context + self.instructions = instructions async def _create_refusal_response(self, violation_message: str) -> OpenAIResponseObjectStream: """Create a refusal response to replace streaming content.""" @@ -176,6 +179,7 @@ class StreamingResponseOrchestrator: tools=self.ctx.available_tools(), error=error, usage=self.accumulated_usage, + instructions=self.instructions, ) async def create_response(self) -> AsyncIterator[OpenAIResponseObjectStream]: diff --git a/tests/integration/agents/recordings/00f8a71ccb939737ed72a289eede62998c6882727519858bbd5954307d10a673.json 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"index": 0, - "id": "call_lqrdy0rt", + "id": "call_x427af31", "function": { "arguments": "{}", "name": "get_current_time" @@ -107,9 +107,9 @@ "service_tier": null, "system_fingerprint": "fp_ollama", "usage": { - "completion_tokens": 14, + "completion_tokens": 12, "prompt_tokens": 161, - "total_tokens": 175, + "total_tokens": 173, "completion_tokens_details": null, "prompt_tokens_details": null } diff --git a/tests/integration/agents/recordings/5edf2f0b7a9c875e80e4719f71a1daa94c1287acf164cd81ddd51843d05be718.json b/tests/integration/agents/recordings/5edf2f0b7a9c875e80e4719f71a1daa94c1287acf164cd81ddd51843d05be718.json index 49ca098d5..009646e27 100644 --- a/tests/integration/agents/recordings/5edf2f0b7a9c875e80e4719f71a1daa94c1287acf164cd81ddd51843d05be718.json +++ b/tests/integration/agents/recordings/5edf2f0b7a9c875e80e4719f71a1daa94c1287acf164cd81ddd51843d05be718.json @@ -56,7 +56,7 @@ "tool_calls": [ { "index": 0, - "id": "call_4ibtjudr", + "id": "call_wkjhgmpf", "function": { "arguments": "{\"city\":\"Tokyo\"}", "name": "get_weather" diff --git a/tests/integration/agents/recordings/697a25dd7f0ff515f567c883ad72ae9dca423726834aec8b38420dccb735c050.json b/tests/integration/agents/recordings/697a25dd7f0ff515f567c883ad72ae9dca423726834aec8b38420dccb735c050.json index 298e0e3b8..8b8f04ae6 100644 --- a/tests/integration/agents/recordings/697a25dd7f0ff515f567c883ad72ae9dca423726834aec8b38420dccb735c050.json +++ b/tests/integration/agents/recordings/697a25dd7f0ff515f567c883ad72ae9dca423726834aec8b38420dccb735c050.json @@ -66,7 +66,7 @@ "tool_calls": [ { "index": 0, - "id": "call_pojpzwm8", + "id": "call_klhbln13", "function": { "arguments": "{\"celcius\":false,\"liquid_name\":\"polyjuice\"}", "name": "get_boiling_point_with_metadata" @@ -116,5 +116,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/6b207540bc67e2b9e6beb091d477d446d91e9837add7e9f4de236627195d41e4.json b/tests/integration/agents/recordings/6b207540bc67e2b9e6beb091d477d446d91e9837add7e9f4de236627195d41e4.json index fc263d5e9..d5d249587 100644 --- a/tests/integration/agents/recordings/6b207540bc67e2b9e6beb091d477d446d91e9837add7e9f4de236627195d41e4.json +++ b/tests/integration/agents/recordings/6b207540bc67e2b9e6beb091d477d446d91e9837add7e9f4de236627195d41e4.json @@ -81,33 +81,7 @@ "choices": [ { "delta": { - "content": " not", - "function_call": null, - "refusal": null, - "role": "assistant", - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "llama3.2:3b-instruct-fp16", - "object": "chat.completion.chunk", - "service_tier": null, - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-6b207540bc67", - "choices": [ - { - "delta": { - "content": " able", + "content": " happy", "function_call": null, "refusal": null, "role": "assistant", @@ -159,267 +133,7 @@ "choices": [ { "delta": { - "content": " provide", - "function_call": null, - "refusal": null, - "role": "assistant", - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "llama3.2:3b-instruct-fp16", - "object": "chat.completion.chunk", - "service_tier": null, - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", - "__data__": { - "id": "rec-6b207540bc67", - "choices": [ - { - "delta": { - "content": " real", - "function_call": null, - "refusal": null, - "role": "assistant", - "tool_calls": null - }, - "finish_reason": null, - "index": 0, - "logprobs": null - } - ], - "created": 0, - "model": "llama3.2:3b-instruct-fp16", - "object": "chat.completion.chunk", - "service_tier": null, - "system_fingerprint": "fp_ollama", - "usage": null - } - }, - { - "__type__": 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diff --git a/tests/integration/agents/recordings/6da760645fe224ace4ab628e4f647259897598e28037fe5f7c09f6677edd08e9.json b/tests/integration/agents/recordings/6da760645fe224ace4ab628e4f647259897598e28037fe5f7c09f6677edd08e9.json index 41c4f97ae..a178476e1 100644 --- a/tests/integration/agents/recordings/6da760645fe224ace4ab628e4f647259897598e28037fe5f7c09f6677edd08e9.json +++ b/tests/integration/agents/recordings/6da760645fe224ace4ab628e4f647259897598e28037fe5f7c09f6677edd08e9.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/7094319e038424fbec54338c397b487c7128fc28534351deb4662fba31043fa4.json b/tests/integration/agents/recordings/7094319e038424fbec54338c397b487c7128fc28534351deb4662fba31043fa4.json index dce0c2e4d..7f7bf13ca 100644 --- a/tests/integration/agents/recordings/7094319e038424fbec54338c397b487c7128fc28534351deb4662fba31043fa4.json +++ b/tests/integration/agents/recordings/7094319e038424fbec54338c397b487c7128fc28534351deb4662fba31043fa4.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/74c26f63592ceedb76eb9623fce41773965dd66b569506b5622b1a797c45f8e4.json b/tests/integration/agents/recordings/74c26f63592ceedb76eb9623fce41773965dd66b569506b5622b1a797c45f8e4.json index d8b125dad..a1464e8c3 100644 --- a/tests/integration/agents/recordings/74c26f63592ceedb76eb9623fce41773965dd66b569506b5622b1a797c45f8e4.json +++ b/tests/integration/agents/recordings/74c26f63592ceedb76eb9623fce41773965dd66b569506b5622b1a797c45f8e4.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/7e0d8c4abe407611ceaa99beea2e9973e2a938cab3db3e1be017bbe8be10edc6.json b/tests/integration/agents/recordings/7e0d8c4abe407611ceaa99beea2e9973e2a938cab3db3e1be017bbe8be10edc6.json index e11d38095..665e53245 100644 --- a/tests/integration/agents/recordings/7e0d8c4abe407611ceaa99beea2e9973e2a938cab3db3e1be017bbe8be10edc6.json +++ b/tests/integration/agents/recordings/7e0d8c4abe407611ceaa99beea2e9973e2a938cab3db3e1be017bbe8be10edc6.json @@ -66,7 +66,7 @@ "tool_calls": [ { "index": 0, - "id": "call_rwasjr3y", + "id": "call_zqu5i0ti", "function": { "arguments": "{\"celcius\":null,\"liquid_name\":\"polyjuice\"}", "name": "get_boiling_point" @@ -116,5 +116,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/7e794c73bf79604a10482bba03124849cb763c7bb66acf3937b524a539b80366.json b/tests/integration/agents/recordings/7e794c73bf79604a10482bba03124849cb763c7bb66acf3937b524a539b80366.json new file mode 100644 index 000000000..dfae71291 --- /dev/null +++ b/tests/integration/agents/recordings/7e794c73bf79604a10482bba03124849cb763c7bb66acf3937b524a539b80366.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_agents.py::test_tool_choice_required[ollama/llama3.2:3b-instruct-fp16]", + "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 'Assistant' 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: What is the boiling point of the liquid polyjuice in celsius?\n\nAssistant: \n\nTool: -100\n\nAssistant: The boiling point of liquid polyjuice is -100\u00b0C.\n\n\n\nProvide your safety assessment for ONLY THE LAST Assistant 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-7e794c73bf79", + "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": 421, + "total_tokens": 423, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/868820c8d798c0d16063d1750a65ae2632ecf543ee440e7d87ea16f8e83461a5.json b/tests/integration/agents/recordings/868820c8d798c0d16063d1750a65ae2632ecf543ee440e7d87ea16f8e83461a5.json index c82ea6394..fa03baf5e 100644 --- a/tests/integration/agents/recordings/868820c8d798c0d16063d1750a65ae2632ecf543ee440e7d87ea16f8e83461a5.json +++ b/tests/integration/agents/recordings/868820c8d798c0d16063d1750a65ae2632ecf543ee440e7d87ea16f8e83461a5.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/86e2b939aabb9dfe7ec712a6b20a5809d6fb56f8c9f92d93030f57cba51a1fe2.json b/tests/integration/agents/recordings/86e2b939aabb9dfe7ec712a6b20a5809d6fb56f8c9f92d93030f57cba51a1fe2.json index c33ecca7e..c702a53aa 100644 --- a/tests/integration/agents/recordings/86e2b939aabb9dfe7ec712a6b20a5809d6fb56f8c9f92d93030f57cba51a1fe2.json +++ b/tests/integration/agents/recordings/86e2b939aabb9dfe7ec712a6b20a5809d6fb56f8c9f92d93030f57cba51a1fe2.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/8c4ec47152697a5b34e44d75af581efbada34e06f59ddf536149871c64c9a247.json b/tests/integration/agents/recordings/8c4ec47152697a5b34e44d75af581efbada34e06f59ddf536149871c64c9a247.json new file mode 100644 index 000000000..9d391c7c8 --- /dev/null +++ b/tests/integration/agents/recordings/8c4ec47152697a5b34e44d75af581efbada34e06f59ddf536149871c64c9a247.json @@ -0,0 +1,442 @@ +{ + "test_id": "tests/integration/agents/test_agents.py::test_create_turn_response[ollama/llama3.2:3b-instruct-fp16-client_tools0]", + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/chat/completions", + "headers": {}, + "body": { + "model": "llama3.2:3b-instruct-fp16", + "messages": [ + { + "role": "system", + "content": "You are a helpful assistant" + }, + { + "role": "user", + "content": "Call get_boiling_point tool and answer What is the boiling point of polyjuice?" + }, + { + "role": "assistant", + "content": "", + "tool_calls": [ + { + "id": "call_zqu5i0ti", + "type": "function", + "function": { + "name": "get_boiling_point", + "arguments": "{\"celcius\":null,\"liquid_name\":\"polyjuice\"}" + } + } + ] + }, + { + "role": "tool", + "tool_call_id": "call_zqu5i0ti", + "content": "-212" + } + ], + "max_tokens": 512, + "stream": true, + "temperature": 0.0001, + "tool_choice": "auto", + "tools": [ + { + "type": "function", + "function": { + "name": "get_boiling_point", + "description": "Returns the boiling point of a liquid in Celcius or Fahrenheit.", + "parameters": { + "type": "object", + "properties": { + "liquid_name": { + "type": "string", + "description": "The name of the liquid" + }, + "celcius": { + "type": "boolean", + "description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } 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+ "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "stop", + "index": 0, + "logprobs": null + } + ], + "created": 0, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/8ed0947593196c2b2f68035e248c137813e8db50d0d46395ef9ba98636fa5819.json b/tests/integration/agents/recordings/8ed0947593196c2b2f68035e248c137813e8db50d0d46395ef9ba98636fa5819.json index b209de507..15f9b0f96 100644 --- a/tests/integration/agents/recordings/8ed0947593196c2b2f68035e248c137813e8db50d0d46395ef9ba98636fa5819.json +++ b/tests/integration/agents/recordings/8ed0947593196c2b2f68035e248c137813e8db50d0d46395ef9ba98636fa5819.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/8fc418c02b8b6fe09238e36fb72c5e7fc9d41fdaa3eb357f518e0fcaec5ea1e2.json b/tests/integration/agents/recordings/8fc418c02b8b6fe09238e36fb72c5e7fc9d41fdaa3eb357f518e0fcaec5ea1e2.json new file mode 100644 index 000000000..70d92b2bf --- /dev/null +++ b/tests/integration/agents/recordings/8fc418c02b8b6fe09238e36fb72c5e7fc9d41fdaa3eb357f518e0fcaec5ea1e2.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_agents.py::test_tool_choice_get_boiling_point[ollama/llama3.2:3b-instruct-fp16]", + "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 'Assistant' 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: What is the boiling point of the liquid polyjuice in celsius?\n\nAssistant: \n\nTool: -100\n\nAssistant: The boiling point of liquid polyjuice is -100\u00b0C.\n\n\n\nProvide your safety assessment for ONLY THE LAST Assistant 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-8fc418c02b8b", + "choices": [ + { + "finish_reason": "stop", + "index": 0, + "logprobs": null, + "message": { + 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b/tests/integration/agents/recordings/901956b3a51b792f2506d603489af51636b480db9cc520614ee4886418776237.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/958f9b74e98bcf41e4988db8ad15494b8fe0ff707261108305353e4ad980195f.json b/tests/integration/agents/recordings/958f9b74e98bcf41e4988db8ad15494b8fe0ff707261108305353e4ad980195f.json index aeb1fe320..ec3117ee3 100644 --- a/tests/integration/agents/recordings/958f9b74e98bcf41e4988db8ad15494b8fe0ff707261108305353e4ad980195f.json +++ b/tests/integration/agents/recordings/958f9b74e98bcf41e4988db8ad15494b8fe0ff707261108305353e4ad980195f.json @@ -1510,5 +1510,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/96623a251d6e51ee6ba21c53ca111d4aa54882a124d783a8096fd88adf481065.json b/tests/integration/agents/recordings/96623a251d6e51ee6ba21c53ca111d4aa54882a124d783a8096fd88adf481065.json index 93155e18c..4d8a2a9ce 100644 --- a/tests/integration/agents/recordings/96623a251d6e51ee6ba21c53ca111d4aa54882a124d783a8096fd88adf481065.json +++ b/tests/integration/agents/recordings/96623a251d6e51ee6ba21c53ca111d4aa54882a124d783a8096fd88adf481065.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/a702e4bf918e94acd0d76ed753c120a4704dde82acf5ae198982fd62bd103279.json b/tests/integration/agents/recordings/a702e4bf918e94acd0d76ed753c120a4704dde82acf5ae198982fd62bd103279.json index 1903e3d19..5200b2e65 100644 --- a/tests/integration/agents/recordings/a702e4bf918e94acd0d76ed753c120a4704dde82acf5ae198982fd62bd103279.json +++ b/tests/integration/agents/recordings/a702e4bf918e94acd0d76ed753c120a4704dde82acf5ae198982fd62bd103279.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git 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"description": "Whether to return the boiling point in Celcius" + } + }, + "required": [ + "liquid_name" + ] + } + } + } + ], + "top_p": 0.9 + }, + "endpoint": "/v1/chat/completions", + "model": "llama3.2:3b-instruct-fp16" + }, + "response": { + "body": [ + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "rec-b4a47451a2af", + "choices": [ + { + "delta": { + "content": "The", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": null, + "index": 0, + "logprobs": null + } + ], + "created": 0, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "rec-b4a47451a2af", + "choices": [ + { + "delta": { + "content": " boiling", + "function_call": null, + "refusal": null, + 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"system_fingerprint": "fp_ollama", + "usage": null + } + }, + { + "__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk", + "__data__": { + "id": "rec-b4a47451a2af", + "choices": [ + { + "delta": { + "content": "", + "function_call": null, + "refusal": null, + "role": "assistant", + "tool_calls": null + }, + "finish_reason": "stop", + "index": 0, + "logprobs": null + } + ], + "created": 0, + "model": "llama3.2:3b-instruct-fp16", + "object": "chat.completion.chunk", + "service_tier": null, + "system_fingerprint": "fp_ollama", + "usage": null + } + } + ], + "is_streaming": true + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/bcb50763cac6527944653e77df1f2cc9e9481ffae9cff5693b2f669270c9c0a7.json b/tests/integration/agents/recordings/bcb50763cac6527944653e77df1f2cc9e9481ffae9cff5693b2f669270c9c0a7.json index c7ecef75f..4527ab5cd 100644 --- a/tests/integration/agents/recordings/bcb50763cac6527944653e77df1f2cc9e9481ffae9cff5693b2f669270c9c0a7.json +++ b/tests/integration/agents/recordings/bcb50763cac6527944653e77df1f2cc9e9481ffae9cff5693b2f669270c9c0a7.json @@ -66,7 +66,7 @@ "tool_calls": [ { "index": 0, - "id": "call_qryqpevz", + "id": "call_9x4z21g1", "function": { "arguments": "{\"celcius\":\"true\",\"liquid_name\":\"polyjuice\"}", "name": "get_boiling_point" @@ -116,5 +116,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/c97c102959ea8c64a43e4c752bf5e979c7a298fdbeedec153954ce817da7e3e7.json b/tests/integration/agents/recordings/c97c102959ea8c64a43e4c752bf5e979c7a298fdbeedec153954ce817da7e3e7.json index e3f54171f..a1332fddb 100644 --- a/tests/integration/agents/recordings/c97c102959ea8c64a43e4c752bf5e979c7a298fdbeedec153954ce817da7e3e7.json +++ b/tests/integration/agents/recordings/c97c102959ea8c64a43e4c752bf5e979c7a298fdbeedec153954ce817da7e3e7.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/ca95f47c2896a7ce1536a3cf1a78170e073e49e478658a4b098b3581a703e843.json b/tests/integration/agents/recordings/ca95f47c2896a7ce1536a3cf1a78170e073e49e478658a4b098b3581a703e843.json index 145596d38..64b28de5c 100644 --- a/tests/integration/agents/recordings/ca95f47c2896a7ce1536a3cf1a78170e073e49e478658a4b098b3581a703e843.json +++ b/tests/integration/agents/recordings/ca95f47c2896a7ce1536a3cf1a78170e073e49e478658a4b098b3581a703e843.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/d35fc2ef48595f5d0afe8fb617c8df864a155017e8d4c5d2e2b2c51e9cfaed5e.json b/tests/integration/agents/recordings/d35fc2ef48595f5d0afe8fb617c8df864a155017e8d4c5d2e2b2c51e9cfaed5e.json index a333490a4..ae1be7520 100644 --- a/tests/integration/agents/recordings/d35fc2ef48595f5d0afe8fb617c8df864a155017e8d4c5d2e2b2c51e9cfaed5e.json +++ b/tests/integration/agents/recordings/d35fc2ef48595f5d0afe8fb617c8df864a155017e8d4c5d2e2b2c51e9cfaed5e.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/da6fc54bb65dd1f83e577109b8228b644e76999ebb2fe8f09bead3dee56a6046.json b/tests/integration/agents/recordings/da6fc54bb65dd1f83e577109b8228b644e76999ebb2fe8f09bead3dee56a6046.json new file mode 100644 index 000000000..f17ae2ae3 --- /dev/null +++ b/tests/integration/agents/recordings/da6fc54bb65dd1f83e577109b8228b644e76999ebb2fe8f09bead3dee56a6046.json @@ -0,0 +1,59 @@ +{ + "test_id": "tests/integration/agents/test_agents.py::test_custom_tool[ollama/llama3.2:3b-instruct-fp16]", + "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 'Assistant' 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: What is the boiling point of the liquid polyjuice in celsius?\n\nAssistant: \n\nTool: -100\n\nAssistant: The boiling point of liquid polyjuice is -100\u00b0C.\n\n\n\nProvide your safety assessment for ONLY THE LAST Assistant 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-da6fc54bb65d", + "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": 421, + "total_tokens": 423, + "completion_tokens_details": null, + "prompt_tokens_details": null + } + } + }, + "is_streaming": false + }, + "id_normalization_mapping": {} +} diff --git a/tests/integration/agents/recordings/db5c89b87eba0d129ad9ed17306d4016aeeaf2bbeeaa5643d9620f5ea484430e.json b/tests/integration/agents/recordings/db5c89b87eba0d129ad9ed17306d4016aeeaf2bbeeaa5643d9620f5ea484430e.json index da06f3968..55e71cf27 100644 --- a/tests/integration/agents/recordings/db5c89b87eba0d129ad9ed17306d4016aeeaf2bbeeaa5643d9620f5ea484430e.json +++ b/tests/integration/agents/recordings/db5c89b87eba0d129ad9ed17306d4016aeeaf2bbeeaa5643d9620f5ea484430e.json @@ -71,7 +71,7 @@ "tool_calls": [ { "index": 0, - "id": "call_ur5tbdbt", + "id": "call_5qverjg6", "function": { "arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}", "name": "get_boiling_point" @@ -121,5 +121,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/ed76dd5fdf892c9cc959b2d301a256f81c43a906a0a56684ca97e848f8d6a94c.json b/tests/integration/agents/recordings/ed76dd5fdf892c9cc959b2d301a256f81c43a906a0a56684ca97e848f8d6a94c.json index cb2afc5ed..06d8a4305 100644 --- a/tests/integration/agents/recordings/ed76dd5fdf892c9cc959b2d301a256f81c43a906a0a56684ca97e848f8d6a94c.json +++ b/tests/integration/agents/recordings/ed76dd5fdf892c9cc959b2d301a256f81c43a906a0a56684ca97e848f8d6a94c.json @@ -54,5 +54,6 @@ } }, "is_streaming": false - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/recordings/f85c3c14185386eecd4939eeb6b3a3cee734d69beb7cd6d13a3d3c2c64eca734.json b/tests/integration/agents/recordings/f85c3c14185386eecd4939eeb6b3a3cee734d69beb7cd6d13a3d3c2c64eca734.json index 2e1e9f4e5..dbb70df6c 100644 --- a/tests/integration/agents/recordings/f85c3c14185386eecd4939eeb6b3a3cee734d69beb7cd6d13a3d3c2c64eca734.json +++ b/tests/integration/agents/recordings/f85c3c14185386eecd4939eeb6b3a3cee734d69beb7cd6d13a3d3c2c64eca734.json @@ -66,7 +66,7 @@ "tool_calls": [ { "index": 0, - "id": "call_rq1pcgq7", + "id": "call_z1rt0qb1", "function": { "arguments": "{\"celcius\":true,\"liquid_name\":\"polyjuice\"}", "name": "get_boiling_point" @@ -116,5 +116,6 @@ } ], "is_streaming": true - } + }, + "id_normalization_mapping": {} } diff --git a/tests/integration/agents/test_openai_responses.py b/tests/integration/agents/test_openai_responses.py index 675e2b904..d413d5201 100644 --- a/tests/integration/agents/test_openai_responses.py +++ b/tests/integration/agents/test_openai_responses.py @@ -466,3 +466,53 @@ def test_guardrails_with_tools(compat_client, text_model_id): # Response should be either a function call or a message output_type = response.output[0].type assert output_type in ["function_call", "message"] + + +def test_response_with_instructions(openai_client, client_with_models, text_model_id): + """Test instructions parameter in the responses object.""" + if isinstance(client_with_models, LlamaStackAsLibraryClient): + pytest.skip("OpenAI responses are not supported when testing with library client yet.") + + client = openai_client + + messages = [ + { + "role": "user", + "content": "What is the capital of France?", + } + ] + + # First create a response without instructions parameter + response_w_o_instructions = client.responses.create( + model=text_model_id, + input=messages, + stream=False, + ) + + # Verify we have None in the instructions field + assert response_w_o_instructions.instructions is None + + # Next create a response and pass instructions parameter + instructions = "You are a helpful assistant." + response_with_instructions = client.responses.create( + model=text_model_id, + instructions=instructions, + input=messages, + stream=False, + ) + + # Verify we have a valid instructions field + assert response_with_instructions.instructions == instructions + + # Finally test instructions parameter with a previous response id + instructions2 = "You are a helpful assistant and speak in pirate language." + response_with_instructions2 = client.responses.create( + model=text_model_id, + instructions=instructions2, + input=messages, + previous_response_id=response_with_instructions.id, + stream=False, + ) + + # Verify instructions from previous response was not carried over to the next response + assert response_with_instructions2.instructions == instructions2 diff --git a/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-abd54ea0.json b/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-abd54ea0.json new file mode 100644 index 000000000..77e244a01 --- /dev/null +++ b/tests/integration/common/recordings/models-64a2277c90f0f42576f60c1030e3a020403d34a95f56931b792d5939f4cebc57-abd54ea0.json @@ -0,0 +1,44 @@ +{ + "test_id": null, + "request": { + "method": "POST", + "url": "http://0.0.0.0:11434/v1/v1/models", + "headers": {}, + "body": {}, + "endpoint": "/v1/models", + "model": "" + }, + "response": { + "body": [ + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "llama-guard3:1b", + "created": 1753937098, + "object": "model", + "owned_by": "library" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "all-minilm:l6-v2", + "created": 1753936935, + "object": "model", + "owned_by": "library" + } + }, + { + "__type__": "openai.types.model.Model", + "__data__": { + "id": "llama3.2:3b-instruct-fp16", + "created": 1753936925, + "object": "model", + "owned_by": "library" + } + } + ], + "is_streaming": false + }, + "id_normalization_mapping": {} +} 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 e93668a62..54c1820fb 100644 --- a/tests/unit/providers/agents/meta_reference/test_openai_responses.py +++ b/tests/unit/providers/agents/meta_reference/test_openai_responses.py @@ -814,6 +814,69 @@ async def test_create_openai_response_with_instructions_and_previous_response( assert sent_messages[3].content == "Which is the largest?" +async def test_create_openai_response_with_previous_response_instructions( + openai_responses_impl, mock_responses_store, mock_inference_api +): + """Test prepending instructions and previous response with instructions.""" + + input_item_message = OpenAIResponseMessage( + id="123", + content="Name some towns in Ireland", + role="user", + ) + response_output_message = OpenAIResponseMessage( + id="123", + content="Galway, Longford, Sligo", + status="completed", + role="assistant", + ) + response = _OpenAIResponseObjectWithInputAndMessages( + created_at=1, + id="resp_123", + model="fake_model", + output=[response_output_message], + status="completed", + text=OpenAIResponseText(format=OpenAIResponseTextFormat(type="text")), + input=[input_item_message], + messages=[ + OpenAIUserMessageParam(content="Name some towns in Ireland"), + OpenAIAssistantMessageParam(content="Galway, Longford, Sligo"), + ], + instructions="You are a helpful assistant.", + ) + mock_responses_store.get_response_object.return_value = response + + model = "meta-llama/Llama-3.1-8B-Instruct" + instructions = "You are a geography expert. Provide concise answers." + + mock_inference_api.openai_chat_completion.return_value = fake_stream() + + # Execute + await openai_responses_impl.create_openai_response( + input="Which is the largest?", model=model, instructions=instructions, previous_response_id="123" + ) + + # Verify + mock_inference_api.openai_chat_completion.assert_called_once() + call_args = mock_inference_api.openai_chat_completion.call_args + params = call_args.args[0] + sent_messages = params.messages + + # Check that instructions were prepended as a system message + # and that the previous response instructions were not carried over + assert len(sent_messages) == 4, sent_messages + assert sent_messages[0].role == "system" + assert sent_messages[0].content == instructions + + # Check the rest of the messages were converted correctly + assert sent_messages[1].role == "user" + assert sent_messages[1].content == "Name some towns in Ireland" + assert sent_messages[2].role == "assistant" + assert sent_messages[2].content == "Galway, Longford, Sligo" + assert sent_messages[3].role == "user" + assert sent_messages[3].content == "Which is the largest?" + + async def test_list_openai_response_input_items_delegation(openai_responses_impl, mock_responses_store): """Test that list_openai_response_input_items properly delegates to responses_store with correct parameters.""" # Setup