mirror of
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e9b4278a51
This PR updates the Conversation item related types and improves a couple critical parts of the implemenation: - it creates a streaming output item for the final assistant message output by the model. until now we only added content parts and included that message in the final response. - rewrites the conversation update code completely to account for items other than messages (tool calls, outputs, etc.) ## Test Plan Used the test script from https://github.com/llamastack/llama-stack-client-python/pull/281 for this ``` TEST_API_BASE_URL=http://localhost:8321/v1 \ pytest tests/integration/test_agent_turn_step_events.py::test_client_side_function_tool -xvs ```
2800 lines
83 KiB
JSON
2800 lines
83 KiB
JSON
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"test_id": "tests/integration/responses/test_file_search.py::test_response_file_search_streaming_events[client_with_models-txt=openai/gpt-4o]",
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"model": "gpt-4o",
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"messages": [
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"role": "user",
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"content": "What are the marketing updates?"
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\":\"marketing updates\"}"
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}
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"role": "tool",
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"content": [
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{
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"type": "text",
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"text": "knowledge_search tool found 4 chunks:\nBEGIN of knowledge_search tool results.\n"
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},
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"type": "text",
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"text": "[1] document_id: file-450428750203, score: 0.055344661144741264, attributes: {'region': 'us', 'category': 'engineering', 'date': 1680307200.0, 'filename': 'us_engineering_q2.txt', 'document_id': 'file-450428750203', 'token_count': 18.0, 'metadata_token_count': 32.0} (cite as <|file-450428750203|>)\nUS technical updates for Q2 2023. New features deployed in the US region.\n"
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},
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"type": "text",
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"text": "[2] document_id: file-450428750202, score: 0.05495226862264745, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'document_id': 'file-450428750202', 'token_count': 21.0, 'metadata_token_count': 32.0} (cite as <|file-450428750202|>)\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": "[3] document_id: file-450428750204, score: 0.05354173455702264, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'document_id': 'file-450428750204', 'token_count': 17.0, 'metadata_token_count': 32.0} (cite as <|file-450428750204|>)\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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},
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"type": "text",
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"text": "[4] document_id: file-450428750205, score: 0.04426898936557363, attributes: {'region': 'asia', 'category': 'sales', 'date': 1688169600.0, 'filename': 'asia_sales_q3.txt', 'document_id': 'file-450428750205', 'token_count': 17.0, 'metadata_token_count': 31.0} (cite as <|file-450428750205|>)\nAsia Pacific revenue figures for Q3 2023. Record breaking quarter in Asia.\n"
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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: \"marketing updates\". 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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"type": "function",
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"name": "knowledge_search",
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"description": "Search for information in a database.",
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"query": {
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