mirror of
https://github.com/meta-llama/llama-stack.git
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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 ```
2441 lines
72 KiB
JSON
2441 lines
72 KiB
JSON
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"content": [
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"text": "knowledge_search tool found 2 chunks:\nBEGIN of knowledge_search tool results.\n"
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"text": "[1] document_id: file-630021438843, score: 0.04881396027422845, attributes: {'region': 'us', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'us_marketing_q1.txt', 'document_id': 'file-630021438843', 'token_count': 21.0, 'metadata_token_count': 32.0} (cite as <|file-630021438843|>)\nUS promotional campaigns for Q1 2023. Revenue increased by 15% in the US region.\n"
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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"all 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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