An Apache Spark-based analytics platform optimized for Azure.
Based on the information provided, this does not appear to be a workspace configuration, SKU, or serverless enablement issue. The key indicator is the error:
403 PERMISSION_DENIED: The endpoint is temporarily disabled due to a Databricks-set rate limit of 0
Because the message explicitly references a Databricks set rate limit, the request is being blocked before it reaches the model endpoint, even though the workspace is active, Premium tier, and the models are visible in the AI Playground.
Why this is likely happening?
A rate limit of 0 requests/minute typically indicates that access to the premium hosted model has been disabled through a Databricks-managed entitlement, quota, or regional availability control rather than through a customer-configurable workspace setting.
The fact that:
- Both Claude Fable 5 & Claude Sonnet 5 are affected
- The issue started suddenly on 24 Aug
- Workspace validation, SKU verification, and model visibility checks were successful
suggests a platform-level entitlement or quota change rather than a configuration problem within the Databricks workspace itself.
What to verify?
Review the following items for the affected workspace:
- Workspace ID
- Azure region (Canada Central)
- Foundation Model API entitlement status
- Premium model access for Claude Fable 5 and Claude Sonnet 5
- Effective quota/rate limit assigned to the workspace
- Any recent changes to regional availability or model access policies
Observations:
If the effective rate limit for the workspace is currently 0 RPM, no workspace level configuration change will restore access. The restriction must first be removed or updated at the entitlement/quota level before requests can be processed successfully.
Given that multiple premium models became unavailable simultaneously and are returning the same error, the evidence points more strongly toward an entitlement, quota, or regional-access issue than a problem with the Databricks workspace configuration itself.
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