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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
Given an AIProjectClient, this sample demonstrates how to use the asynchronous
`.telemetry` methods to get the Application Insights connection string and enable
tracing.
USAGE:
python sample_telemetry_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.
"""
import os
import asyncio
from dotenv import load_dotenv
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
from azure.ai.projects.models import ConnectionType
load_dotenv()
async def main() -> None:
endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
async with DefaultAzureCredential() as credential:
async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client:
print("Get the Application Insights connection string:")
connection_string = await project_client.telemetry.get_application_insights_connection_string()
print(connection_string)
if __name__ == "__main__":
asyncio.run(main())
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