Summary
The SDK adds DependencyMode field support across cluster management APIs along with new fields for AI runtime tasks, schema registry configuration, and synced table management. A breaking change removes the Lifetime field from ml.TimeWindow that will require code updates.
Summary generated by brickster.ai. For the full changelog and any code/binary attachments, follow the GitHub link above.
Topics
More from databricks/databricks-sdk-go
The SDK adds support for new fields across multiple services: AI Runtime jobs can now specify image paths and priority classes, ML models support budget policies and tags during publishing, and serving configurations gain workspace credential options including new GPU accelerator types. Pipelines add development mode configuration and workspace settings gain ingress network policy controls.
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