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databricks Databricks Python SDK Releases · · 0.139.0

Databricks SDK for Python v0.139.0 Adds New API Fields

sdkaidatabricksgaengineer
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Databricks has released version 0.139.0 of its Python SDK, introducing several new API fields to enhance integration with various platform services. This update includes additions for AI Runtime tasks, Amazon Bedrock serving configurations, and customer-facing ingress network policies. It also expands compute specifications with a new GPU accelerator type, enabling developers to leverage the latest Databricks capabilities programmatically.

  • →Add priority_class field for databricks.sdk.service.jobs.AiRuntimeTask
  • →Add uc_service_credential_name field for databricks.sdk.service.serving.AmazonBedrockConfig
  • →Add excluded_scopes field for databricks.sdk.service.settings.CustomerFacingIngressNetworkPolicyWorkspaceApiDestination
  • →Add effective_workspace_label and workspace_label fields for databricks.sdk.service.settingsv2.Setting
  • →Add gpu_8x_b300 enum value for databricks.sdk.service.jobs.ComputeSpecAcceleratorType
Enhancements (5) ›
  • Add priority_class field for databricks.sdk.service.jobs.AiRuntimeTask
  • Add uc_service_credential_name field for databricks.sdk.service.serving.AmazonBedrockConfig
  • Add excluded_scopes field for databricks.sdk.service.settings.CustomerFacingIngressNetworkPolicyWorkspaceApiDestination
  • Add effective_workspace_label and workspace_label fields for databricks.sdk.service.settingsv2.Setting
  • Add gpu_8x_b300 enum value for databricks.sdk.service.jobs.ComputeSpecAcceleratorType
Read the original announcement →

https://github.com/databricks/databricks-sdk-py/releases/tag/v0.139.0

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