Latest releases from the Databricks ecosystem.

New fields for pipeline refresh selection and checkpoint reset are available in `PipelineParams` and `PipelineTask` for Databricks Jobs. Additionally, new operational email custom recipient fields are added to `Setting` in the settings API.

This release adds comprehensive API methods for managing workspace assignments at both account and workspace levels. It also introduces support for Python operator tasks in Databricks Jobs and new fields for disaster recovery stable URLs, MLflow time windows, ingress network policies, and user API scopes.

Feature objects now include catalog, schema, creation, and name details, while listing features requires new catalog and schema parameters, which is a breaking change. GPU_XLARGE is a new workload type for serving models, and a field was removed from `RequestedResource`.

The Databricks CLI `--profile` fallback is fixed, and the SDK now requests fresh tokens from the CLI. Several breaking changes occurred in Vector Search endpoint scaling, and new API methods were added for workspace supervisor agents and various connector options.

This release adds new services for disaster recovery, temporary volume credentials, and extensive methods for knowledge assistants. It also introduces new fields across various services and a breaking change removing the `connection` field from `SupervisorAgent` tools.

The SDK now automatically detects AI coding agents and appends agent information to HTTP request headers, while also removing the unused `experimentalIsUnifiedHost` field from `DatabricksConfig`. A bug fix addresses `X-Databricks-Org-Id` header issues for `SharesExtImpl.list()` on SPOG hosts, and several API method paths have changed, which are breaking changes.

This release adds Azure MSI authentication support and improves `.databrickscfg` default profile resolution. It also fixes issues with non-JSON error responses and Databricks CLI token scope mismatches, alongside introducing new API methods for various services like Catalog and Vector Search.

This release adds a `disableGovTagCreation` field to the `RestrictWorkspaceAdminsMessage` for both settings and settingsv2 services. This new field allows practitioners to control the creation of governance tags by workspace administrators.

* Add `parentPath` field for `com.databricks.sdk.service.dashboards.GenieSpace`.

Databricks Jobs now support new alert-related fields in run outputs and task definitions, enabling more granular notification configurations. A new `environments` package and service were introduced, along with a `CAN_CREATE_APP` permission level for IAM.

This release adds new fields to the Ingestion Pipeline Definition and Origin objects, enhancing configuration options for data ingestion pipelines. It also introduces a subDomain field for External Function Requests in the serving API.

This release adds new fields and methods for managing ML features, functions, and Kafka sources, including a new updateRole method for workspace Postgres services. Several fields related to ML DeltaTableSource, Feature, Function, and KafkaSource are now optional, which is a breaking change.

This release introduces new services for Data Classification and Knowledge Assistants, accessible via `workspaceClient`. It also adds several new methods for managing Genie evaluation runs and results.

Databricks SDK for Java now allows fine-grained control over HTTP request timeouts through a new `withRequestConfig` method on `CommonsHttpClient.Builder`. This enables practitioners to configure specific timeout settings for their API calls.

The SDK now dynamically adjusts authentication token stale periods, extending them up to 20 minutes for standard OAuth. Users can override this behavior by manually setting the stale period in the CachedTokenSource builder.