v0.134.0
Summary
The Pipelines API's `source_table` and `source_schema` fields are now optional to support streaming and message-bus connectors that don't use source tables or schemas. New `ai_functions` and `sandbox` workspace services are available, along with expanded APIs for bundle deployments, feature engineering, PostgreSQL, IAM v2, and model deployment resources.
Summary generated by brickster.ai. For the full changelog and any code/binary attachments, follow the GitHub link above.
More from databricks/databricks-sdk-py
In a breaking change, AgentKit managed memory entry requests replace the read_mask parameter with a new view field. The release also adds scope configuration for service principal OAuth secrets, deleted-item filtering for bundle deployments, and Slack and Teams destination settings.
The Python SDK now includes a new model_service enum value for Unity Catalog securable types under Databricks Apps. This update allows practitioners to configure Model Serving endpoints as securable resources within Databricks App manifests.
Unity Catalog model provider configurations now include fields for Bedrock Mantle and pricing information. A corresponding Bedrock Mantle enum value was also added to the external model provider type options.
This release adds the Agent Kit workspace service, account IAM identity visibility filters, and statement timeout configuration for SQL warehouses. It also introduces a breaking change by removing the Mason workspace service and package.