chore(deps-dev): bump databricks-sdk from 0.30.0 to 0.117.0

[dependabot]

Bumps databricks-sdk from 0.30.0 to 0.117.0.

Release notes

Sourced from databricks-sdk's releases.

v0.117.0

No release notes provided.

v0.116.0

No release notes provided.

v0.115.0

No release notes provided.

v0.114.0

No release notes provided.

v0.113.0

No release notes provided.

v0.112.0

No release notes provided.

v0.111.0

No release notes provided.

v0.110.0

No release notes provided.

v0.109.0

No release notes provided.

v0.108.0

No release notes provided.

v0.107.0

No release notes provided.

v0.106.0

No release notes provided.

v0.105.0

No release notes provided.

v0.104.0

Bug Fixes

• Add X-Databricks-Org-Id header to WorkspaceExt.upload() and WorkspaceExt.download() for SPOG host compatibility.
• WorkspaceClient.get_workspace_id() now returns Config.workspace_id directly when set, instead of calling /api/2.0/preview/scim/v2/Me. This removes an API round-trip on every call where the workspace ID is already known (profile, ?o= query param, env var, or host metadata) and fixes a failure on SPOG hosts where the unauthenticated probe request was rejected with Unable to load OAuth Config.
• Add X-Databricks-Org-Id header to SharesExt.list() for SPOG host compatibility.

Internal Changes

• Expanded AI agent detection: added Goose, Amp, Augment, Copilot (VS Code), Kiro, Windsurf. Honors the AGENT=<name> standard (resolves to a known product if the value matches one, otherwise unknown). Presence-only env var matchers now treat an empty string as "set" for parity with the Go and Java SDKs. Explicit agent env vars (e.g. CLAUDECODE, GOOSE_TERMINAL) always take precedence over the generic AGENT=<name> signal. When multiple agent env vars are present (e.g. a Cursor CLI subagent invoked from Claude Code), the user-agent reports agent/multiple.

... (truncated)

Changelog

Sourced from databricks-sdk's changelog.

Release v0.117.0 (2026-06-11)

API Changes

• Add type_overrides field for databricks.sdk.service.database.SyncedTableSpec.
• Add type_overrides field for databricks.sdk.service.postgres.SyncedTableSyncedTableSpec.
• Change resource_id field for databricks.sdk.service.bundledeployments.Operation to no longer be required.
• [Breaking] Change resource_id field for databricks.sdk.service.bundledeployments.Operation to no longer be required.

Bug Fixes

• Cache tokens minted by DatabricksOidcTokenSource (Workload Identity Federation / account-wide token federation). Previously a fresh /oidc/v1/token exchange was performed on every authenticated API call, adding latency, amplifying transient federation-policy errors, and hitting OIDC token-endpoint rate limits. The token source now reuses the cached token until it is stale or expired, fetching a fresh ID token on each refresh to support rotation.
• Make WorkspaceClient.dbutils lazy (functools.cached_property). The constructor no longer imports databricks.sdk.runtime eagerly, so on Spark Connect (shared-access-mode) clusters, consumers that never read .dbutils — such as dbt-databricks Python models — no longer crash with CONTEXT_UNAVAILABLE_FOR_REMOTE_CLIENT during client construction.
• Fall back to the remote runtime implementation when the legacy user namespace cannot be materialized. On Spark Connect runtimes (e.g. shared-access-mode clusters), importing databricks.sdk.runtime — which happens when constructing a WorkspaceClient on such a cluster — tried to build a legacy SparkContext and raised CONTEXT_UNAVAILABLE_FOR_REMOTE_CLIENT at import time. It now logs a warning and falls back to the Spark Connect-compatible remote implementation instead of crashing.

Internal Changes

• Declare urllib3 as an explicit dependency. The SDK imports it directly; previously it was only available transitively through requests. No resolution change for users.

Release v0.116.0 (2026-06-10)

API Changes

• Add databricks.sdk.service.aisearch and databricks.sdk.service.bundledeployments packages.
• Add w.ai_search workspace-level service.
• Add w.bundle_deployments 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.

... (truncated)

Commits

• 8de8d38 Release databricks-sdk-py v0.117.0 (#1472)
• 8d80062 Fall back to remote runtime on Spark Connect when the legacy namespace is una...
• d01f89a Make WorkspaceClient.dbutils lazy via cached_property (#1470)
• c05cc6f Cache tokens minted by DatabricksOidcTokenSource (#1460)
• 528878e [Release] Release v0.116.0
• 1399208 Update SDK API to 55d22d7e7879e6be815cfe8e3e4cf7130f822c94 (#1471)
• 9744f91 Update SDK API to 805d88b51faa37301c51d1848da2db5a2e6ed921 (#1466)
• c897178 [Release] Release v0.115.0
• fef9b73 Fix error tracker URL to point to the Python SDK repo (#1462)
• d18e039 Honor AI_AGENT and pass raw values through (#1454)
• Additional commits viewable in compare view

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