Summary
Added awsAccessKey field to Amazon Bedrock provider configuration and entraServicePrincipal field to both Azure OpenAI and Microsoft Foundry provider configurations. These new fields support credential management for external model provider integrations.
Summary generated by brickster.ai. For the full changelog and any code/binary attachments, follow the GitHub link above.
More from databricks/databricks-sdk-java
The SDK adds a new AI Gateway service and introduces an updateOperation() method for bundle deployments to improve deployment management. New fields for dashboard metadata, version tracking, and operation details have been added across bundle deployment classes to enhance visibility into deployment history and status.
The Java SDK adds a patchTelemetryConfig() method for serving endpoints telemetry management. Three new fields are introduced: fanoutOptions for pipeline schemas and a parameters field for SQL alerts.
Added five new SpecialDestination enum values for schema, table, volume, function, and registered model owners to support finer-grained access control. The bundleDeployments API has breaking changes: createDeployment() requires a different argument order and the deploymentId field was removed from CreateDeploymentRequest.
The SDK adds a new dependencyMode field across multiple cluster-related classes along with support for codeSourcePath in AI runtime tasks, schema registry configuration, and extra columns in synced tables. The TimeWindow model's lifetime field has been removed, which is a breaking change requiring code updates.
The Java SDK adds effectiveEntitlements field to workspace assignments for access to computed entitlements. Job clusters now support serverless compute tracking via serverlessComputeId, and telemetry configuration expands with tableNames and telemetryProfileId fields.
