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* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
83 lines
2.8 KiB
Python
83 lines
2.8 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 Agent, tool
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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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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
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@tool(approval_mode="never_require")
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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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@tool(approval_mode="never_require")
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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 = Agent(
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name="FoundryWeatherAgent",
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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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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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