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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 ```
		
			
				
	
	
		
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			1928 lines
		
	
	
	
		
			57 KiB
		
	
	
	
		
			JSON
		
	
	
	
	
		
			Generated
		
	
	
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|           "content": "What happened in Q1 2023?"
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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-151637398237, score: 0.0590087872544405, attributes: {'region': 'eu', 'category': 'marketing', 'date': 1672531200.0, 'filename': 'eu_marketing_q1.txt', 'document_id': 'file-151637398237', 'token_count': 17.0, 'metadata_token_count': 32.0} (cite as <|file-151637398237|>)\nEuropean advertising campaign results for Q1 2023. Strong growth in EU markets.\n"
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