v0.169.0

Databricks SDK for Java v0.172.0 fixes CLI authentication so that small wrapper scripts, such as launcher scripts or version manager shims, are no longer mistaken for the legacy Python CLI, which now only applies to the pip entry point. The release also adds budget spend status methods to the account budgets service and an aiFunctionTask field across the jobs task types, with matching aiFunctionTaskOutput on run output.

Databricks SDK for Java v0.171.0 adds AgentKit permission methods for memory and session stores, Feature Engineering materialization set methods, and new fields across data quality, jobs, ML, pipelines, and sandbox APIs. The release also adds refresh-by-path selection fields to pipeline updates and a fileOutput option on jobs SQL outputs.

Release v0.170.0 adds startEndpoint() and stopEndpoint() methods for vector search endpoints, along with new STARTING, STOPPING, and STOPPED status values. It also adds OneDrive ingestion support for pipelines, an includeExternalSpend option for budgets, and new relativeError, TableTrigger, and regex fields.

The SDK adds file and directory management methods to the sandbox service alongside a new duration target field across Jobs API run and configuration models. Additionally, it introduces secret fields for Catalog connections, governed tags for policies, and replication tracking fields for disaster recovery failover groups.

This release adds support for real-time SQL warehouses, issue management methods for experiments, and replication configuration for Delta Sharing. It also introduces a breaking change by removing the effectiveServerlessComputeId field from job run tasks.

In a breaking change for AgentKit, the readMask field was replaced by a view field across managed memory entry requests. The update also adds OAuth scope support for service principal secrets, a deleted-deployment filter for bundles, and Slack and Teams destination settings.