main.py

# Copyright (c) Microsoft. All rights reserved.

import os
import subprocess
from random import randint
from typing import Annotated

from agent_framework import Agent, tool
from agent_framework.foundry import FoundryChatClient
from agent_framework_foundry_hosting import ResponsesHostServer
from azure.identity import DefaultAzureCredential
from dotenv import load_dotenv
from pydantic import Field

# Load environment variables from .env file
load_dotenv()


@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"]
    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."


@tool(approval_mode="always_require")
def run_bash(command: str) -> str:
    """Execute a shell command locally and return stdout, stderr, and exit code."""
    try:
        result = subprocess.run(
            command,
            shell=True,
            capture_output=True,
            text=True,
            timeout=30,
        )
        parts: list[str] = []
        if result.stdout:
            parts.append(result.stdout)
        if result.stderr:
            parts.append(f"stderr: {result.stderr}")
        parts.append(f"exit_code: {result.returncode}")
        return "\n".join(parts)
    except subprocess.TimeoutExpired:
        return "Command timed out after 30 seconds"
    except Exception as e:
        return f"Error executing command: {e}"


def main():
    client = FoundryChatClient(
        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
        credential=DefaultAzureCredential(),
    )

    agent = Agent(
        client=client,
        instructions="You are a friendly assistant. Keep your answers brief.",
        tools=[get_weather, run_bash],
        # History will be managed by the hosting infrastructure, thus there
        # is no need to store history by the service. Learn more at:
        # https://developers.openai.com/api/reference/resources/responses/methods/create
        default_options={"store": False},
    )

    server = ResponsesHostServer(agent)
    server.run()


if __name__ == "__main__":
    main()