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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
Given an asynchronous AIProjectClient, this sample demonstrates how to access an authenticated
asynchronous AgentsClient from the azure-ai-agents, associated with your AI Foundry project.
For more information on the azure-ai-agents see https://pypi.org/project/azure-ai-agents.
Find Agent samples here: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ai/azure-ai-agents/samples.
USAGE:
python sample_agents_async.py
Before running the sample:
pip install azure-ai-projects azure-identity aiohttp python-dotenv
Set these environment variables with your own values:
1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the overview page of your
Azure AI Foundry project.
2) AZURE_AI_MODEL_DEPLOYMENT_NAME - The AI model deployment name, to be used by your Agent, as found
in your AI Foundry project.
"""
import os, asyncio
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
load_dotenv()
async def main() -> None:
endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
model_deployment_name = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
async with DefaultAzureCredential() as credential:
async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client:
agent = await project_client.agents.create_agent(
model=model_deployment_name,
name="my-agent",
instructions="You are helpful agent",
)
print(f"Created agent, agent ID: {agent.id}")
# Do something with your Agent!
# See samples here https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ai/azure-ai-agents/samples
await project_client.agents.delete_agent(agent.id)
print("Deleted agent")
if __name__ == "__main__":
asyncio.run(main())
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