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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
`.deployments` methods to enumerate AI models deployed to your AI Foundry Project.
USAGE:
python sample_deployments_async.py
Before running the sample:
pip install azure-ai-projects azure-identity aiohttp
Set these environment variables with your own values:
1) PROJECT_ENDPOINT - Required. The Azure AI Project endpoint, as found in the overview page of your
Azure AI Foundry project.
2) MODEL_DEPLOYMENT_NAME - Required. The name of the deployment to retrieve.
3) MODEL_PUBLISHER - Optional. The publisher of the model to filter by.
4) MODEL_NAME - Optional. The name of the model to filter by.
"""
import asyncio
import os
from azure.identity.aio import DefaultAzureCredential
from azure.ai.projects.aio import AIProjectClient
async def main() -> None:
endpoint = os.environ["PROJECT_ENDPOINT"]
model_deployment_name = os.environ["MODEL_DEPLOYMENT_NAME"]
model_publisher = os.environ.get("MODEL_PUBLISHER", "Microsoft")
model_name = os.environ.get("MODEL_NAME", "Phi-4")
async with DefaultAzureCredential() as credential:
async with AIProjectClient(endpoint=endpoint, credential=credential) as project_client:
print("List all deployments:")
async for deployment in project_client.deployments.list():
print(deployment)
print(f"List all deployments by the model publisher `{model_publisher}`:")
async for deployment in project_client.deployments.list(model_publisher=model_publisher):
print(deployment)
print(f"List all deployments of model `{model_name}`:")
async for deployment in project_client.deployments.list(model_name=model_name):
print(deployment)
print(f"Get a single deployment named `{model_deployment_name}`:")
deployment = await project_client.deployments.get(model_deployment_name)
print(deployment)
if __name__ == "__main__":
asyncio.run(main())
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