azure-ai-ml

import os from azure.ai.ml import MLClient from azure.identity import DefaultAzureCredential # Configure Azure credentials and workspace details subscription_id = os.environ.get('AZURE_SUBSCRIPTION_ID', 'YOUR_SUBSCRIPTION_ID') resource_group = os.environ.get('AZURE_RESOURCE_GROUP', 'YOUR_RESOURCE_GROUP') workspace_name = os.environ.get('AZURE_ML_WORKSPACE_NAME', 'YOUR_WORKSPACE_NAME') # Instantiate DefaultAzureCredential try: credential = DefaultAzureCredential() # Check if credential works by getting a token (optional, but good for early validation) _ = credential.get_token('https://management.azure.com/.default') except Exception as e: print(f"Authentication failed: {e}") print("Please ensure you are logged in to Azure CLI, VS Code, or have appropriate environment variables set.") exit(1) # Create an MLClient instance ml_client = MLClient( credential=credential, subscription_id=subscription_id, resource_group_name=resource_group, workspace_name=workspace_name ) print(f"Connected to Azure ML workspace: {ml_client.workspace_name}") # Example: List existing environments in the workspace print("Listing existing environments...") environments = ml_client.environments.list() for env in environments: print(f"- {env.name} (version: {env.version})")