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# ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
"""
DESCRIPTION:
Given an AIProjectClient, this sample demonstrates how to use the synchronous
`.telemetry` methods to get the Application Insights connection string and
enable tracing.
USAGE:
python sample_telemetry.py
Before running the sample:
pip install "azure-ai-projects>=2.0.0b1" azure-identity 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
Microsoft Foundry project.
"""
import os
from dotenv import load_dotenv
from azure.identity import DefaultAzureCredential
from azure.ai.projects import AIProjectClient
load_dotenv()
endpoint = os.environ["AZURE_AI_PROJECT_ENDPOINT"]
with (
DefaultAzureCredential() as credential,
AIProjectClient(endpoint=endpoint, credential=credential) as project_client,
):
print("Get the Application Insights connection string:")
connection_string = project_client.telemetry.get_application_insights_connection_string()
print(connection_string)
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