[pull] main from databricks:main#251
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This PR updates the SDK to the latest API changes. NO_CHANGELOG=true Co-authored-by: databricks-ci-ghec-2[bot] <184307802+databricks-ci-ghec-2[bot]@users.noreply.github.com>
## Release v0.116.0 ### API Changes * Add `databricks.sdk.service.aisearch` and `databricks.sdk.service.bundledeployments` packages. * Add [w.ai_search](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/aisearch/ai_search.html) workspace-level service. * Add [w.bundle_deployments](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/bundledeployments/bundle_deployments.html) workspace-level service. * Add `running_instances` field for `databricks.sdk.service.apps.ApplicationStatus`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.CatalogInfo`. * Add `environment_settings` field for `databricks.sdk.service.catalog.ConnectionInfo`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.CreateCatalog`. * Add `environment_settings` field for `databricks.sdk.service.catalog.CreateConnection`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.CreateSchema`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.SchemaInfo`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.UpdateCatalog`. * Add `environment_settings` field for `databricks.sdk.service.catalog.UpdateConnection`. * Add `custom_max_retention_hours` field for `databricks.sdk.service.catalog.UpdateSchema`. * Add `stream_source` field for `databricks.sdk.service.ml.DataSource`. * Add `ingestion_config` field for `databricks.sdk.service.ml.KafkaConfig`. * Add `clustering_columns`, `enable_auto_clustering` and `table_properties` fields for `databricks.sdk.service.pipelines.TableSpecificConfig`. * Add `branch_id` field for `databricks.sdk.service.postgres.Branch`. * Add `catalog_id` field for `databricks.sdk.service.postgres.Catalog`. * Add `database_id` field for `databricks.sdk.service.postgres.Database`. * Add `endpoint_id` field for `databricks.sdk.service.postgres.Endpoint`. * Add `project_id` field for `databricks.sdk.service.postgres.Project`. * Add `role_id` field for `databricks.sdk.service.postgres.Role`. * Add `synced_table_id` field for `databricks.sdk.service.postgres.SyncedTable`. * Add `allowed_databricks_destinations` field for `databricks.sdk.service.settings.EgressNetworkPolicyNetworkAccessPolicy`. * Add `facets`, `query_columns` and `sort_columns` fields for `databricks.sdk.service.vectorsearch.QueryVectorIndexRequest`. * Add `facet_result` field for `databricks.sdk.service.vectorsearch.QueryVectorIndexResponse`. * Add `facet_column_count` and `facet_columns` fields for `databricks.sdk.service.vectorsearch.ResultManifest`. * Add `dangerously_force_discard_all` field for `databricks.sdk.service.workspace.UpdateRepoRequest`. * [Breaking] Remove `databricks.sdk.service.bundle` package. * [Breaking] Remove [w.bundle](https://databricks-sdk-py.readthedocs.io/en/latest/workspace/bundle/bundle.html) workspace-level service. * Add `accelerated_sync` field for `databricks.sdk.service.database.SyncedTableSpec`. * Add `accelerated_sync` field for `databricks.sdk.service.postgres.SyncedTableSyncedTableSpec`.
## What `DatabricksOidcTokenSource` (Workload Identity Federation / account-wide token federation) minted a fresh `/oidc/v1/token` exchange on **every** authenticated API call. Its `token()` always called `_exchange_id_token()`, which constructed a brand-new `oauth.ClientCredentials` each time — discarding the `Refreshable` caching/locking/refresh machinery already built into it. This change makes `DatabricksOidcTokenSource` extend `oauth.Refreshable` and moves the exchange logic into `refresh()`, so the minted token is cached and reused until it is stale or expired (mirroring the existing M2M/PAT flows). Each refresh re-fetches the ID token from the `id_token_source`, so short-lived **rotating** ID tokens are handled transparently. ## Why The previous behaviour: - added an extra RTT to every request, - amplified transient federation-policy errors by the number of API calls, - and hit OIDC token-endpoint rate limits. A real-world 470 MiB Volume upload minted dozens of tokens in under 30s, with bursts of 6–7 concurrent mints. ## Tests Added unit tests in `tests/test_oidc.py`: - token is minted once and reused across calls (caching), - an expired token triggers a re-exchange that fetches a **fresh** ID token (rotation), - missing host still raises `ValueError`. All existing auth tests pass (`test_oauth`, `test_oidc`, `test_credentials_provider`, `test_oidc_token_supplier`). Added a `NEXT_CHANGELOG.md` Bug Fixes entry. Signed-off-by: Hector Castejon Diaz <hector.castejon@databricks.com>
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