agent-framework/python/samples/02-agents/declarative/microsoft_learn_agent.py

# Copyright (c) Microsoft. All rights reserved.
import asyncio
from pathlib import Path

from agent_framework.declarative import AgentFactory
from azure.identity.aio import AzureCliCredential
from dotenv import load_dotenv

# Load environment variables from .env file
load_dotenv()


async def main():
    """Create an agent from a declarative yaml specification and run it."""
    # get the path
    current_path = Path(__file__).parent
    yaml_path = current_path.parent.parent.parent.parent / "agent-samples" / "foundry" / "MicrosoftLearnAgent.yaml"
    # create the agent from the yaml
    async with (
        AzureCliCredential() as credential,
        AgentFactory(client_kwargs={"credential": credential}, safe_mode=False).create_agent_from_yaml_path(
            yaml_path
        ) as agent,
    ):
        response = await agent.run("How do I create a storage account with private endpoint using bicep?")
        print("Agent response:", response.text)


if __name__ == "__main__":
    asyncio.run(main())