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agent-framework/python/samples/02-agents/devui/foundry_agent/agent.py
T
Copilot b05fc9e849 Python: Add load_dotenv() to samples for .env file support (#4043)
* Initial plan

* Add load_dotenv() to 303 Python samples for environment variable loading

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Update SAMPLE_GUIDELINES.md to document load_dotenv() requirement

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Update samples README.md to document .env file usage

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Run ruff format on all changed sample files

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* Clarify load_dotenv() usage in README - local dev vs production

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* Remove deprecated getting_started folder as requested

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* Document env_file_path parameter for per-client configuration

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* Merge main branch to resolve conflicts

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* Fix run_evaluation.py file that was empty in merge commit

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* Remove dotnet changes from merge - out of scope for this PR

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* Remove package and test changes from merge - only sample changes needed

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* Remove test_func_utils.py - only sample changes needed

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* Revert sample files not in original changeset - keep only load_dotenv additions

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Move load_dotenv() outside snippet tag in 06_host_your_agent.py

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Fix comment placement - move load_dotenv before code comments

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* Fix load_dotenv() placement across all samples - after docstring, before code comments

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* Merge latest main branch with load_dotenv changes

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* Remove non-sample changes from merge - keep only load_dotenv additions

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* Revert non-load_dotenv sample changes from merge

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* Fix run_evaluation.py - use main's improved version (file already had load_dotenv)

Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>

* Manual update

* Manual update 2

* Fix Role usage and load_dotenv placement per PR review feedback

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Fix Role usage - use string literals not enum attributes

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* Fix SAMPLE_GUIDELINES.md example - load_dotenv before docstring per guidance

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* Move load_dotenv() before docstrings in all samples per SAMPLE_GUIDELINES ordering

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Address PR review: rename files, fix placement, add session usage, remove note

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

* Update Redis README to reference renamed file redis_history_provider.py

Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: TaoChenOSU <12570346+TaoChenOSU@users.noreply.github.com>
Co-authored-by: Tao Chen <taochen@microsoft.com>
Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com>
Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
2026-02-19 10:55:13 +00:00

89 lines
2.9 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Foundry-based weather agent for Agent Framework Debug UI.
This agent uses Azure AI Foundry with Azure CLI authentication.
Make sure to run 'az login' before starting devui.
"""
import os
from typing import Annotated
from agent_framework import Agent, tool
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
from dotenv import load_dotenv
from pydantic import Field
# Load environment variables from .env file
load_dotenv()
# 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_sessions.py.
@tool(approval_mode="never_require")
def get_weather(
location: Annotated[str, Field(description="The location to get the weather for.")],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
temperature = 22
return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
@tool(approval_mode="never_require")
def get_forecast(
location: Annotated[str, Field(description="The location to get the forecast for.")],
days: Annotated[int, Field(description="Number of days for forecast")] = 3,
) -> str:
"""Get weather forecast for multiple days."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
forecast: list[str] = []
for day in range(1, days + 1):
condition = conditions[day % len(conditions)]
temp = 18 + day
forecast.append(f"Day {day}: {condition}, {temp}°C")
return f"Weather forecast for {location}:\n" + "\n".join(forecast)
# Agent instance following Agent Framework conventions
agent = Agent(
name="FoundryWeatherAgent",
client=AzureAIAgentClient(
project_endpoint=os.environ.get("AZURE_AI_PROJECT_ENDPOINT"),
model_deployment_name=os.environ.get("FOUNDRY_MODEL_DEPLOYMENT_NAME"),
credential=AzureCliCredential(),
),
instructions="""
You are a weather assistant using Azure AI Foundry models. You can provide
current weather information and forecasts for any location. Always be helpful
and provide detailed weather information when asked.
""",
tools=[get_weather, get_forecast],
)
def main():
"""Launch the Foundry weather agent in DevUI."""
import logging
from agent_framework.devui import serve
# Setup logging
logging.basicConfig(level=logging.INFO, format="%(message)s")
logger = logging.getLogger(__name__)
logger.info("Starting Foundry Weather Agent")
logger.info("Available at: http://localhost:8090")
logger.info("Entity ID: agent_FoundryWeatherAgent")
logger.info("Note: Make sure 'az login' has been run for authentication")
# Launch server with the agent
serve(entities=[agent], port=8090, auto_open=True)
if __name__ == "__main__":
main()