mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Victor Dibia
c341ee7ed2
* Python: DevUI - Internal Refactor, Conversations API support, and performance improvements Comprehensive refactor of DevUI package including samples relocation, frontend reorganization, OpenAI Conversations API support, and critical performance and code quality improvements. Key Changes: Architecture & Organization - Moved DevUI samples to python/samples/getting_started/devui/ - Consolidated with other framework samples for better discoverability - Added .env.example files and comprehensive README - Restructured frontend components into feature-based folders (agent, workflow, gallery, layout) - Created new OpenAI-compliant message renderers (devui should render oai responses types primarily) New Features - Added _conversations.py (467 lines) - Full conversation storage abstraction, replaces the /threads endpoint to better match oai conversations api - Implements OpenAI Conversations API for thread management, Supports in-memory and extensible storage backends API Simplification - Use 'model' field as entity_id (agent/workflow name) instead of extra_body - Use standard OpenAI 'conversation' field for conversation context. Performance & Quality Improvements - Improved context management in MessageMapper with bounded memory (~500KB max) - Implemented hybrid LRU + cleanup approach to prevent unbounded memory growth - General QOL improvement - Eliminated ~150 lines of dead/duplicate code, Consolidated helper functions into _utils.py, Extracted magic numbers to module-level constants, Optimized conversation item lookups with index-based approach Testing - Added test_conversations.py (13 tests) - Added test_performance_fixes.py (9 tests) - Updated existing tests for code consolidation - 53 tests passing Impact: 76 files changed: +4,106 insertions, -2,373 deletions All linting and formatting checks passing. No breaking changes - backward compatible. Migration: Samples moved to python/samples/getting_started/devui/ * readme lint fixes * initial support for function approval and minor ui fixes
80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Foundry-based weather agent for Agent Framework Debug UI.
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This agent uses Azure AI Foundry with Azure CLI authentication.
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Make sure to run 'az login' before starting devui.
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"""
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import os
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from typing import Annotated
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from agent_framework import ChatAgent
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from agent_framework.azure import AzureAIAgentClient
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from azure.identity.aio import AzureCliCredential
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from pydantic import Field
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def get_weather(
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location: Annotated[str, Field(description="The location to get the weather for.")],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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temperature = 22
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return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
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def get_forecast(
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location: Annotated[str, Field(description="The location to get the forecast for.")],
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days: Annotated[int, Field(description="Number of days for forecast")] = 3,
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) -> str:
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"""Get weather forecast for multiple days."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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forecast: list[str] = []
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for day in range(1, days + 1):
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condition = conditions[day % len(conditions)]
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temp = 18 + day
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forecast.append(f"Day {day}: {condition}, {temp}°C")
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return f"Weather forecast for {location}:\n" + "\n".join(forecast)
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# Agent instance following Agent Framework conventions
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agent = ChatAgent(
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name="FoundryWeatherAgent",
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chat_client=AzureAIAgentClient(
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project_endpoint=os.environ.get("AZURE_AI_PROJECT_ENDPOINT"),
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model_deployment_name=os.environ.get("FOUNDRY_MODEL_DEPLOYMENT_NAME"),
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async_credential=AzureCliCredential(),
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),
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instructions="""
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You are a weather assistant using Azure AI Foundry models. You can provide
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current weather information and forecasts for any location. Always be helpful
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and provide detailed weather information when asked.
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""",
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tools=[get_weather, get_forecast],
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)
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def main():
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"""Launch the Foundry weather agent in DevUI."""
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import logging
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from agent_framework.devui import serve
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# Setup logging
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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logger.info("Starting Foundry Weather Agent")
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logger.info("Available at: http://localhost:8090")
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logger.info("Entity ID: agent_FoundryWeatherAgent")
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logger.info("Note: Make sure 'az login' has been run for authentication")
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# Launch server with the agent
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serve(entities=[agent], port=8090, auto_open=True)
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if __name__ == "__main__":
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main()
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