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	Renames `inference_recorder.py` to `api_recorder.py` and extends it to support recording/replaying tool invocations in addition to inference calls. This allows us to record web-search, etc. tool calls and thereafter apply recordings for `tests/integration/responses` ## Test Plan ``` export OPENAI_API_KEY=... export TAVILY_SEARCH_API_KEY=... ./scripts/integration-tests.sh --stack-config ci-tests \ --suite responses --inference-mode record-if-missing ```
		
			
				
	
	
		
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			1301 lines
		
	
	
	
		
			38 KiB
		
	
	
	
		
			JSON
		
	
	
	
	
		
			Generated
		
	
	
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|           "role": "user",
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|           "content": "How many experts does the Llama 4 Maverick model have?"
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|               "text": "knowledge_search tool found 1 chunks:\nBEGIN of knowledge_search tool results.\n"
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|               "text": "[1] document_id: file-5efa8a5a4b414ce98726c4e133a18747, score: 2.5781234969335522, attributes: {'filename': 'test_sequential_file_search.txt', 'document_id': 'file-5efa8a5a4b414ce98726c4e133a18747', 'token_count': 19.0, 'metadata_token_count': 11.0} (cite as <|file-5efa8a5a4b414ce98726c4e133a18747|>)\nThe Llama 4 Maverick model has 128 experts in its mixture of experts architecture.\n"
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|               "text": "END of knowledge_search tool results.\n"
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