Azure Databricks Claude Fable 5 endpoint shows Ready but returns Endpoint not found

Alejandro Morillo 0 Reputation points
2026-07-28T03:19:13.9866667+00:00

In an Azure Databricks workspace in East US 2, the Foundation Model API endpoint databricks-claude-fable-5 is listed as Ready and shows pay-per-token pricing. However, opening it in AI Playground returns: "Endpoint databricks-claude-fable-5 not found". The UI then falls back to another model, so no Fable 5 request is executed.

The model is visible under system.ai. Creating a custom provisioned endpoint fails with: "Model system.ai.databricks-claude-fable-5 is not currently available for serving through this API." Attempting to link deployment metadata fails with HTTP 403 because the registered model is system-owned.

This appears to be a backend entitlement or endpoint-registration synchronization issue: catalog metadata exists, but the pay-per-token serving route is unavailable.

Could a Microsoft/Azure Databricks engineer verify whether Claude Fable 5 is enabled for Azure Databricks in East US 2 and synchronize or enable the Foundation Model API endpoint entitlement/registration for the workspace? I can provide the workspace ID and subscription ID privately if an engineer escalates this to a support case.

Azure Databricks
Azure Databricks

An Apache Spark-based analytics platform optimized for Azure.


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  1. Sina Salam 31,296 Reputation points Volunteer Moderator
    2026-07-28T09:53:43.89+00:00

    Hello @Alejandro Morillo ,

    Welcome to the Microsoft Q&A and thank you for posting your questions here.

    I understand that your Azure Databricks Claude Fable 5 endpoint shows Ready but returns Endpoint not found.

    Your scenario cannot be solved by recreating or linking the model. The best practice is to check model availability, cross-Geo processing, UC permissions, and the actual serving endpoint route. databricks-claude-fable-5 is a Databricks Foundation Model APIs pay-per-token endpoint, so it should be consumed through the preconfigured model serving route, not by creating or linking a custom/provisioned endpoint. - https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/supported-models

    What you need to do is to:

    After cross-Geo processing, Unity Catalog permissions, and the correct pay-per-token invocation route are validated, the endpoint should work. If it does not, then you cannot reliably fix it from the workspace UI or API. Azure Databricks support must verify and synchronize the Foundation Model APIs entitlement and serving route for databricks-claude-fable-5.

    I hope this is helpful. Please! Do not hesitate to let me know if you have any other questions, steps or clarifications.


    Please do not close the thread by upvoting and accepting the answer if any part of it is helpful.

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