Azure ml python sdk unable to get msi token using identity secret

When working with the Azure ML Python SDK, you may encounter a situation where you are unable to get an MSI (Managed Service Identity) token using an identity secret. This can be a frustrating issue, but fortunately, there are several ways to solve it.

Solution 1: Using the Azure Identity Library

The first solution involves using the Azure Identity library, which provides a set of authentication credentials for accessing Azure services. To implement this solution, follow these steps:


from azure.identity import DefaultAzureCredential

credential = DefaultAzureCredential()
token = credential.get_token("https://management.azure.com/.default")

This code snippet uses the DefaultAzureCredential class from the Azure Identity library to obtain a token for the specified resource. In this case, we are requesting a token for the Azure Management API (https://management.azure.com/.default).

Solution 2: Using the Azure CLI

If you have the Azure CLI installed, you can also use it to obtain an MSI token. Follow these steps:

  1. Open a terminal or command prompt.
  2. Run the following command to log in to your Azure account:

az login
  1. Run the following command to obtain an MSI token:

az account get-access-token --resource=https://management.azure.com/

This command will return an access token that you can use for authentication.

Solution 3: Using a Service Principal

If the previous solutions do not work for you, you can try using a service principal. Follow these steps:

  1. Create a service principal in your Azure Active Directory.
  2. Assign the necessary roles and permissions to the service principal.
  3. Retrieve the client ID, client secret, and tenant ID of the service principal.

from azure.identity import ClientSecretCredential

tenant_id = ""
client_id = ""
client_secret = ""

credential = ClientSecretCredential(tenant_id, client_id, client_secret)
token = credential.get_token("https://management.azure.com/.default")

In this code snippet, we are using the ClientSecretCredential class from the Azure Identity library to authenticate using the client ID, client secret, and tenant ID of the service principal.

After trying out these three solutions, it is evident that Solution 1, which utilizes the Azure Identity library, is the most recommended option. It provides a more streamlined and Pythonic way of obtaining an MSI token, without the need for external tools like the Azure CLI or managing a service principal.

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8 Responses

  1. Solution 3 using a Service Principal sounds like a complicated workaround. Why not stick with Solution 1 or 2?

    1. Ive tried the Azure Identity Library and it worked like a charm for me. Smooth integration, reliable authentication, and excellent documentation. Highly recommend giving it a shot!

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