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databricks Databricks Python SDK Releases · · 0.140.0

Databricks Python SDK v0.140.0 Adds AI Gateway and Data Ingestion API Enhancements

sdkaidatabricksgaengineer
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Databricks Python SDK v0.140.0 introduces new API methods and fields, enhancing capabilities across AI, jobs, and data pipelines. Key additions include methods for managing AI Gateway service user credentials and expanded notification options for jobs and tasks. The update also extends data ingestion support with new connection types like TikTok Ads and Smartsheet, alongside Avro and Protobuf transformer formats in pipelines. These changes provide developers with more granular control and broader integration options within the Databricks platform.

  • →Add telemetry_export_destinations field for databricks.sdk.service.apps.AppUpdate
  • →Add options field for databricks.sdk.service.catalog.McpServiceConfigSourceConnection
  • →Add header_auth field for databricks.sdk.service.catalog.ModelProviderServiceConfigCustomProviderDirectConfig
  • →Add on_maintenance_complete and on_maintenance_start fields for databricks.sdk.service.jobs.JobEmailNotifications
  • →Add on_maintenance_complete and on_maintenance_start fields for databricks.sdk.service.jobs.TaskEmailNotifications
Enhancements (16) ›

  • Add create_mcp_service_user_mapped_credential(), delete_mcp_service_user_mapped_credential() and get_mcp_service_user_mapped_credential() methods for w.ai_gateway workspace-level service

  • Add telemetry_export_destinations field for databricks.sdk.service.apps.AppUpdate
  • Add options field for databricks.sdk.service.catalog.McpServiceConfigSourceConnection
  • Add header_auth field for databricks.sdk.service.catalog.ModelProviderServiceConfigCustomProviderDirectConfig
  • Add on_maintenance_complete and on_maintenance_start fields for databricks.sdk.service.jobs.JobEmailNotifications
  • Add on_maintenance_complete and on_maintenance_start fields for databricks.sdk.service.jobs.TaskEmailNotifications
  • Add on_maintenance_complete and on_maintenance_start fields for databricks.sdk.service.jobs.WebhookNotifications
  • Add budget_policy_id and tags fields for databricks.sdk.service.ml.BackfillFeaturesRequest
  • Add timezone_id field for databricks.sdk.service.ml.CronSchedule
  • Add budget_policy_id and tags fields for databricks.sdk.service.ml.PurgeFeatureEntitiesRequest
  • Add group_name field for databricks.sdk.service.pipelines.RunAs
  • Add avro_options and protobuf_options fields for databricks.sdk.service.pipelines.Transformer
  • Add tiktok_ads enum value for databricks.sdk.service.catalog.ConnectionType
  • Add agent_service and skill enum values for databricks.sdk.service.catalog.SecurableType
  • Add tiktok_ads and smartsheet enum values for databricks.sdk.service.pipelines.IngestionSourceType
  • Add avro and protobuf enum values for databricks.sdk.service.pipelines.TransformerFormat
Read the original announcement →

https://github.com/databricks/databricks-sdk-py/releases/tag/v0.140.0

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