chore: import upstream snapshot with attribution

python/samples/02-agents/devui/agent_foundry/.env.example

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+# Azure AI Foundry Configuration
+# Make sure to run 'az login' before starting devui
+
+FOUNDRY_PROJECT_ENDPOINT=https://your-project.services.ai.azure.com
+FOUNDRY_MODEL=gpt-4o

python/samples/02-agents/devui/agent_foundry/__init__.py

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+# Copyright (c) Microsoft. All rights reserved.
+
+"""Weather agent sample for DevUI testing."""
+
+from .agent import agent  # ty: ignore[unresolved-import]  # pyrefly: ignore
+
+__all__ = ["agent"]

python/samples/02-agents/devui/agent_foundry/agent.py

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+# 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.foundry import FoundryChatClient
+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=FoundryChatClient(
+        project_endpoint=os.environ.get("FOUNDRY_PROJECT_ENDPOINT"),
+        model=os.environ.get("FOUNDRY_MODEL"),
+        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()