Databricks Go SDK v0.182.0 Adds AI Gateway, Telemetry, and Data Pipeline Enhancements
Databricks has released v0.182.0 of its Go SDK, introducing significant API additions for developers. The update includes new methods for managing service user mapped credentials in the AI Gateway, alongside an option to specify telemetry export destinations for applications. Furthermore, the release expands configuration capabilities for catalog services, adds a timezone ID for ML cron schedules, and introduces Avro and Protobuf options for data pipeline transformers. These enhancements empower Go developers to build more integrated and robust applications across Databricks' AI, data, and ML services.
- →Add TelemetryExportDestinations field for apps.AppUpdate
- →Add Options field for catalog.McpServiceConfigSourceConnection
- →Add HeaderAuth field for catalog.ModelProviderServiceConfigCustomProviderDirectConfig
- →Add TimezoneId field for ml.CronSchedule
- →Add AvroOptions and ProtobufOptions fields for pipelines.Transformer
Enhancements (10) ›
Add CreateMcpServiceUserMappedCredential, DeleteMcpServiceUserMappedCredential and GetMcpServiceUserMappedCredential methods for w.AiGateway workspace-level service
- Add TelemetryExportDestinations field for apps.AppUpdate
- Add Options field for catalog.McpServiceConfigSourceConnection
- Add HeaderAuth field for catalog.ModelProviderServiceConfigCustomProviderDirectConfig
- Add TimezoneId field for ml.CronSchedule
- Add AvroOptions and ProtobufOptions fields for pipelines.Transformer
- Add TiktokAds enum value for catalog.ConnectionType
- Add AgentService and Skill enum values for catalog.SecurableType
- Add TiktokAds and Smartsheet enum values for pipelines.IngestionSourceType
- Add Avro and Protobuf enum values for pipelines.TransformerFormat
https://github.com/databricks/databricks-sdk-go/releases/tag/v0.182.0
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