v0.137.0

The SDK adds a new domains workspace-level service for managing domains. ML Feature Store capabilities are expanded with new fields for feature filtering, scheduling, and improved source column specifications across Delta tables and Kafka sources.

The SDK adds an execute_command_sync() method for sandbox and new fields for ML features (mode, time_window, full_feature_name). Breaking changes remove routing and rate limiting configuration fields from model serving APIs.

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.

Add enabled_telemetry_features field for databricks.sdk.service.serving.TelemetryConfig.

The SDK adds git integration options for Apps including default git source configuration and auto-deploy capabilities for GitRepository. New fields are added for custom UDFs in ML Functions and effective serverless compute ID visibility in Pipelines.

The SDK makes action_type and status fields optional instead of required in bundle deployment operations. The create_operation() method is removed from the bundle_deployments workspace service.