azure.ai.evaluation.evaluate Deserialization errors with azure_ai_project provided

[sebas-se]

• Package Name: azure-ai-evaluation
• Package Version: 1.3.0
• Operating System: macOS
• Python Version: 3.11

Describe the bug
The bug occurs with a AI Foundry hub using a private endpoint connection. The call to azure.ai.evaluation.evaluate fails with a DeserializationError, as msrest.serialization.Deserialize is not initiated with the classes PrivateEndpointConnection, PrivateEndpoint, and PrivateLinkServiceConnectionState returned by LiteMLClient.workspace_get_info() during the evaluate() call.

To Reproduce
Steps to reproduce the behavior:

1. Create an Azure AI Foundry Hub
2. Create a private endpoint in the same rg
3. Create a AI Foundry project
4. Use this example to run a few evaluations and provide the AI project information to the AI project created previously

Expected behavior
The call to evaluate should succeed and the results should be uploaded to AI Foundry.

Screenshots

[github-actions]

Thanks for the feedback! We are routing this to the appropriate team for follow-up. cc @luigiw @needuv @singankit.