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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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			2518 lines
		
	
	
	
		
			73 KiB
		
	
	
	
		
			JSON
		
	
	
	
	
		
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| {
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|   "test_id": "tests/integration/responses/test_file_search.py::test_response_file_search_filter_by_category[openai_client-txt=openai/gpt-4o]",
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|   "request": {
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|     "method": "POST",
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|     "url": "https://api.openai.com/v1/v1/chat/completions",
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|     "headers": {},
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|     "body": {
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|       "model": "gpt-4o",
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|       "messages": [
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|         {
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|           "role": "user",
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|           "content": "Show me all marketing reports"
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|         },
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|         {
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|           "role": "assistant",
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|           "content": "",
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|           "tool_calls": [
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|             {
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|               "index": 0,
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|               "id": "call_54ZqtMaB74gGLhQoT5Kxe1KN",
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|               "type": "function",
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|               "function": {
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|                 "name": "knowledge_search",
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|                 "arguments": "{\"query\":\"marketing reports\"}"
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|               }
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|             }
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|           ]
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|         },
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|         {
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|           "role": "tool",
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|           "tool_call_id": "call_54ZqtMaB74gGLhQoT5Kxe1KN",
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|           "content": [
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|             {
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|               "type": "text",
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|               "text": "knowledge_search tool found 2 chunks:\nBEGIN of knowledge_search tool results.\n"
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|             },
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|             {
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|               "type": "text",
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|               "text": "[1] document_id: file-824569833174, score: 0.7788970955409423, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'document_id': 'file-824569833174', 'token_count': 21.0, 'metadata_token_count': 32.0} (cite as <|file-824569833174|>)\nUS promotional campaigns for Q1 2023. Revenue increased by 15% in the US region.\n"
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|             },
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|             {
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|               "type": "text",
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|               "text": "[2] document_id: file-824569833176, score: 0.74726414959878, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'document_id': 'file-824569833176', 'token_count': 17.0, 'metadata_token_count': 32.0} (cite as <|file-824569833176|>)\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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|             },
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|             {
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|               "type": "text",
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|               "text": "END of knowledge_search tool results.\n"
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|             },
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|             {
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|               "type": "text",
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|               "text": "The above results were retrieved to help answer the user's query: \"marketing reports\". Use them as supporting information only in answering this query. Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format (e.g., 'This is a fact <|file-Cn3MSNn72ENTiiq11Qda4A|>.'). Do not add extra punctuation. Use only the file IDs provided (do not invent new ones).\n"
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|             }
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|           ]
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|         }
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|       ],
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|       "stream": true,
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|       "tools": [
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|         {
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|           "type": "function",
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|           "function": {
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|             "name": "knowledge_search",
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|             "description": "Search for information in a database.",
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|             "parameters": {
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|               "type": "object",
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|               "properties": {
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|                 "query": {
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|                   "type": "string",
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|                   "description": "The query to search for. Can be a natural language sentence or keywords."
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|                 }
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|               },
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|               "required": [
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|                 "query"
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|               ]
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|     "endpoint": "/v1/chat/completions",
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