DatabricksCLI 1.12.0 다운로드

Release v1.12.0
CLI
- databricks aitools install now supports Gemini CLI, installing Databricks agent skills into its skills directory.
- databricks aitools install now supports Pi, installing Databricks agent skills into its skills directory.
- A locally built CLI (go build, without release flags) now reports the next release version with a -dev prerelease, e.g. 1.12.0-dev+abcdef123456, instead of 0.0.0-dev+abcdef123456. The old string sorted below every published release even though a local build is newer than the latest release; the new one sorts above the latest release and below the release it will become, matching what goreleaser already produces for snapshot builds.
- Added the databricks environments setup-local command, which provisions (or updates) a local Python environment matched to a Databricks compute target. It resolves the target to an environment key, fetches the pinned Python version, databricks-connect version, and dependency constraints published for that key, then provisions a matched .venv with uv.
Bundles
- Added a cascade_on_destroy field to the pipeline resource to control whether destroying a pipeline also deletes its datasets (MVs, STs, Views). When unset, the server default applies; set cascade_on_destroy: false to retain the datasets on destroy. Supported with the direct deployment engine (#5846).
- Fix bundle.deployment.lock.force being ignored. The --force-lock flag's default value overwrote the value configured in databricks.yml, so setting the field had no effect and a stale deployment lock could only be overridden with the flag. (#6188)
- direct: experimental job_runs now sends a CLI-managed idempotency token on every run-now, so an SDK retry after a lost response returns the same run. Configured idempotency_token values are rejected.
- direct: the experimental job_runs resource now waits for the triggered run to finish, so other resources can reference its outcome (e.g. ${resources.job_runs.nightly.state.result_state}). A run that does not succeed fails the deploy, naming the failed task, and is run again on the next deploy. If a deploy is interrupted while waiting, the next one resumes waiting on the same run.
- direct: Fixed model serving telemetry_config drift and applied planned telemetry updates. Unsupported endpoint types now fail when telemetry is applied; create may still succeed because it drops the field (#6106).
- The cli_version field in the direct engine's deployment state (resources.json) now records the CLI version that last wrote the state. Previously it kept the version of the CLI that first created the state.
- Add support for UC secrets resource (#5861)
Dependency Updates
- Bump github.com/databricks/databricks-sdk-go from v0.166.0 to v0.169.0.
- Bump Terraform provider from v1.124.0 to v1.126.0 (#6250).