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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 ```
6313 lines
185 KiB
JSON
6313 lines
185 KiB
JSON
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"test_id": "tests/integration/responses/test_file_search.py::test_response_file_search_filter_compound_or[openai_client-txt=openai/gpt-4o]",
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"request": {
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"url": "https://api.openai.com/v1/v1/chat/completions",
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"headers": {},
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"model": "gpt-4o",
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"messages": [
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"role": "user",
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"content": "Show me marketing and sales documents"
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},
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"role": "assistant",
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"content": "",
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"index": 0,
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"id": "call_Fvpcub7CINR4M4mne3NrqPSh",
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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 documents examples\"}"
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}
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"index": 1,
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"id": "call_nNONu48z4o4psZIlHNDbWIe6",
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"type": "function",
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\": \"sales documents examples\"}"
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}
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"role": "tool",
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"tool_call_id": "call_Fvpcub7CINR4M4mne3NrqPSh",
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"content": [
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{
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"type": "text",
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"text": "knowledge_search tool found 3 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-11ba891be0f04ddc9c7ba2538d933a81, score: 0.7656461893973538, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'document_id': 'file-11ba891be0f04ddc9c7ba2538d933a81', 'token_count': 17.0, 'metadata_token_count': 32.0} (cite as <|file-11ba891be0f04ddc9c7ba2538d933a81|>)\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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"text": "[2] document_id: file-3935371dca8f416ea5e7e159ba0d9e98, score: 0.729409669664322, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'document_id': 'file-3935371dca8f416ea5e7e159ba0d9e98', 'token_count': 21.0, 'metadata_token_count': 32.0} (cite as <|file-3935371dca8f416ea5e7e159ba0d9e98|>)\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": "[3] document_id: file-53687482606a43d88a92e066f59206d2, score: 0.5528548752393603, attributes: {'region': 'asia', 'category': 'sales', 'date': 1688169600.0, 'filename': 'asia_sales_q3.txt', 'document_id': 'file-53687482606a43d88a92e066f59206d2', 'token_count': 17.0, 'metadata_token_count': 31.0} (cite as <|file-53687482606a43d88a92e066f59206d2|>)\nAsia Pacific revenue figures for Q3 2023. Record breaking quarter in Asia.\n"
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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 documents examples\". 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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"role": "tool",
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"tool_call_id": "call_nNONu48z4o4psZIlHNDbWIe6",
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"content": [
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{
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"type": "text",
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"text": "knowledge_search tool found 3 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-3935371dca8f416ea5e7e159ba0d9e98, score: 0.6624775971970099, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'document_id': 'file-3935371dca8f416ea5e7e159ba0d9e98', 'token_count': 21.0, 'metadata_token_count': 32.0} (cite as <|file-3935371dca8f416ea5e7e159ba0d9e98|>)\nUS promotional campaigns for Q1 2023. Revenue increased by 15% in the US region.\n"
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},
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"type": "text",
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"text": "[2] document_id: file-11ba891be0f04ddc9c7ba2538d933a81, score: 0.6241908355663578, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'document_id': 'file-11ba891be0f04ddc9c7ba2538d933a81', 'token_count': 17.0, 'metadata_token_count': 32.0} (cite as <|file-11ba891be0f04ddc9c7ba2538d933a81|>)\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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"type": "text",
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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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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"sales documents examples\". 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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"stream": true,
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"tools": [
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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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"required": [
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"query"
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"endpoint": "/v1/chat/completions",
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"model": "gpt-4o"
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