Unable to Connect Azure AI Foundry Agent from Fabric Notebook

Hi matkopajko123 ,

To authenticate a backend service using the Azure AI Foundry REST API in production without manually logging in each time, you have two primary authentication options: Service Principal Authentication and Managed Identity. Both methods allow your backend application to securely authenticate and interact with Azure services without needing to store credentials or require user interaction.

Service Principal Authentication

Service principals are ideal for scenarios where you need to authenticate applications programmatically, such as backend services, without interactive login. This method provides a secure way to authenticate without embedding user-specific credentials.

Step 1: Create a Service Principal

In the Azure Portal, navigate to Azure Active Directory > App Registrations.
Create a new App Registration, which will represent your backend application.
After registration, generate a Client Secret under Certificates & secrets (this will act as a password for the service principal).
Record the Application (client) ID, Directory (tenant) ID, and the Client Secret.

Step 2: Grant Permissions to the Service Principal

In the Azure AI Foundry resource, go to Access Control (IAM).
Assign the Azure AI User or Contributor role to the Service Principal to ensure it has the necessary permissions to interact with the Foundry API.

Step 3: Authenticate Using the Service Principal

In your backend application, use the **client credentials flow** to obtain an OAuth token, which will be used for authenticating the API requests. Below is an example of how to do this in Python:

from azure.identity import ClientSecretCredential
import requests

tenant_id = "<your-tenant-id>" # Service Principal details
client_id = "<your-client-id>"
client_secret = "<your-client-secret>"

credential = ClientSecretCredential(tenant_id, client_id, client_secret)
token = credential.get_token("https://<your-api-scope>/.default") # Get a token from Azure AD using Service Principal

headers = {
"Authorization": f"Bearer {token.token}",
"Content-Type": "application/json"
} # Set up headers with the obtained token

url = "https://<your-foundry-resource>.services.ai.azure.com/api/projects/<project-name>/agents" # Your Azure AI Foundry endpoint

response = requests.get(url, headers=headers)
print(response.status_code, response.text)
```                                                                     # Make the REST API request

This method ensures that your backend service can securely interact with Azure AI Foundry without the need for manual login. Using a service principal also ensures that credentials are kept secure, separate from user-specific logins.

2. Managed Identity (Recommended for Azure Deployed Backends)

If your backend service is hosted within Azure (e.g., Azure Web Apps, Azure Functions, or Virtual Machines), Managed Identity is the recommended approach. Managed Identity eliminates the need to manually manage credentials and provides a seamless authentication process for Azure services.

Step 1: Enable Managed Identity for Your Azure Service

If your backend is hosted in an Azure Web App or Azure Function, go to the Identity section of the service and enable System Assigned Managed Identity.

Step 2: Grant Managed Identity Access to Azure AI Foundry

In the Azure AI Foundry resource, navigate to Access Control (IAM).

Assign the Azure AI User or Contributor role to the Managed Identity of your Azure service. This grants your backend the necessary permissions to access the AI Foundry API.

Step 3: Authenticate Using Managed Identity

With Managed Identity enabled, your backend service can authenticate without needing to store any credentials. Using the Azure SDK's DefaultAzureCredential will automatically authenticate using the managed identity associated with the Azure service.

Managed Identity is the most secure and streamlined option for Azure-hosted services, as it eliminates the need to handle secrets or credentials directly. It ensures that authentication is automatic and integrated with Azure's identity management system.

Both Service Principal Authentication and Managed Identity offer secure and scalable solutions for backend services to interact with the Azure AI Foundry REST API in a production environment.
Service Principal Authentication is suitable for scenarios where your backend service is running outside of Azure or when you need finer control over credentials.
Managed Identity is the preferred option for Azure-based services, providing seamless, secure, and automated authentication without the need for secret management. By implementing either of these authentication methods, you can ensure secure, production-ready access to your Azure AI Foundry resources without requiring manual user logins.

Hope this helps.
Thank you.

Hi AyusmanBasu0604 ,

May I ask if you have resolved this issue? Please let us know if you have any further issues, we are happy to help.

Thank you.