v2.0.0 Release
dbt 2.0.0 introduces agent skills installation from packages, native Databricks metric view materializations, ClickHouse connection-level settings and HTTP User-Agent identification, and fixes for compiled SQL output in quiet mode, dbt-docs-server Docker image reliability, and CLI branding updates.
2.0.0
Released September 14, 2026
Features
- Install agent skills (AgentSkills-format
SKILL.mddirectories) from installed packages and the project's ownskill-pathswhen packages are installed, gated on the newai_providerflag. (#14556) - Support native Databricks metric view materializations (#15616)
- [ClickHouse] Connection-level settings (profile custom_settings plus v1-parity synchronous-operation defaults), default database wired to the profile schema, literal '?' in SQL, and dbt identified as
dbt/<version>in the HTTP User-Agent (system.query_log.http_user_agent), via the new adbc_clickhouse driver (#14585)
Fixes
- Preserve compiled SQL output for inline compile commands in quiet mode (#14538)
- Fix the dbt-docs-server Docker image: it now downloads a released dbt binary from the dbt-core GitHub Releases and verifies it against the release's published SHA256SUMS, tracking the newest release carrying a Linux binary instead of pinning a stale version (override with
--build-arg DBT_VERSION=). The documenteddocker buildcommand now works verbatim from either the repo root or the crate directory, a.dockerignorekeeps the build context empty, and the image is multi-stage, multi-arch, health-checked, and runs as an unprivileged user. (#15856) - Rename dbt v2 CLI branding from Fusion/dbt-core to dbt (proprietary) and dbt-oss (OSS), updating --version/--help output and several Fusion-branded warning/error messages to say dbt instead.
Contributors
Source: original entry ↗
More from dbt
Follow dbt to get its new changes in your feed and email digest.
dbt 2.0.0-dev.41
Added Lake Compute support for reading AWS Databricks Unity Catalog tables with PAT/OAuth M2M credentials. Fixed multiple issues including modules.re keyword argument handling, column-tag diffs in Databricks, and test config inheritance from dbt-core.
BigQuery drivers continue on ADBC.GetObjects errors
Fixed an issue where BigQuery drivers would fail on ADBC.GetObjects 404/403 errors, which was causing incorrect use of REPLACE TABLE instead of MERGE for incremental tables. The drivers now continue gracefully when encountering these errors.