{ "test_id": "tests/integration/responses/test_tool_responses.py::test_response_sequential_file_search[openai_client-txt=openai/gpt-4o:emb=sentence-transformers/nomic-ai/nomic-embed-text-v1.5:dim=768]", "request": { "method": "POST", "url": "https://api.openai.com/v1/v1/chat/completions", "headers": {}, "body": { "model": "gpt-4o", "messages": [ { "role": "user", "content": "How many experts does the Llama 4 Maverick model have?" }, { "role": "assistant", "content": "", "tool_calls": [ { "index": 0, "id": "call_4ac6gxccWFxDvEl8BizY3BJw", "type": "function", "function": { "name": "knowledge_search", "arguments": "{\"query\":\"Llama 4 Maverick model number of experts\"}" } } ] }, { "role": "tool", "tool_call_id": "call_4ac6gxccWFxDvEl8BizY3BJw", "content": [ { "type": "text", "text": "knowledge_search tool found 1 chunks:\nBEGIN of knowledge_search tool results.\n" }, { "type": "text", "text": "[1] document_id: file-528246887823, score: 0.019272319661840426, attributes: {'filename': 'test_sequential_file_search.txt', 'chunk_id': '3907d885-d8e7-a72d-1113-f7080454d97c', 'document_id': 'file-528246887823', 'token_count': 19.0, 'metadata_token_count': 11.0} cite as <|file-528246887823|>\nThe Llama 4 Maverick model has 128 experts in its mixture of experts architecture.\n" }, { "type": "text", "text": "END of knowledge_search tool results.\n" }, { "type": "text", "text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model number of experts\". 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