v0.116.0

The `resource_id` field in `bundledeployments.Operation` is no longer required, which is a breaking change. Token caching for OIDC and lazy initialization of `WorkspaceClient.dbutils` improve performance and prevent crashes on Spark Connect clusters.

The SDK now better detects AI agents by honoring the Vercel AI_AGENT environment variable and passing through unrecognized agent names in the User-Agent header. This allows more specific agent versions to be reported instead of a generic "agent/unknown".

This release adds new fields for deployment mode in Databricks Asset Bundles and for collaboration platform connectivity in account settings. These changes provide more visibility and control over bundle deployments and account-level collaboration settings.

This release adds comprehensive CRUD operations for feature engineering streams and a method to update token management settings. It also introduces several new fields across Jobs, Pipelines, and Token services, while removing `catalog_id` and `synced_table_id` from Postgres service objects.

This release switches the SDK's internal formatter and linter to Ruff, aligning with Databricks' internal Python formatting guidelines. This change has no behavioral impact on the published SDK for users.

This release introduces a new Databricks Asset Bundles service and adds `revert()` to Lakeview dashboards and `undelete_branch()` to Postgres. It also includes breaking changes to the `tags` field in Marketplace listings and pagination for Cluster events.