v0.114.0

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.

This release adds new services for AI Search and Bundle Deployments, along with numerous new fields across existing services like Catalog, ML, and Vector Search. The previous `bundle` package and service have been removed.

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 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.