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Update from code changes: add dbt Core v1.12 to supported versions #958

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Update from code changes: add dbt Core v1.12 to supported versions #958

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485eb06
docs: add dbt Core v1.12 to supported versions
mintlify[bot] Jul 9, 2026
8eb35cc
Merge remote-tracking branch 'origin/main' into mintlify/4e981234
mintlify[bot] Jul 10, 2026
2cecc61
docs: correct dbt 1.12 adapter pins in AI writeback sandbox
mintlify[bot] Jul 10, 2026
7dff607
Merge remote-tracking branch 'origin/main' into mintlify/4e981234
mintlify[bot] Jul 14, 2026
80c2509
docs: clarify dbt `latest` stays on 1.11 for adapter coverage
mintlify[bot] Jul 14, 2026
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6 changes: 4 additions & 2 deletions guides/developer/ai-writeback-self-hosting.mdx
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Expand Up @@ -42,12 +42,14 @@ Restart the backend. Users with AI Analyst access on a project connected to a su

## Supported dbt versions

The writeback sandbox runs `lightdash compile` using the dbt version configured on the project, so validation behaves the same way it would locally. The sandbox ships with dbt **1.8, 1.9, 1.10, and 1.11** preinstalled:
The writeback sandbox runs `lightdash compile` using the dbt version configured on the project, so validation behaves the same way it would locally. The sandbox ships with dbt **1.8, 1.9, 1.10, 1.11, and 1.12** preinstalled:

- Projects pinned to one of those versions compile against that exact version.
- Projects set to `latest` compile against the newest available version (currently 1.11).
- Projects set to `latest` compile against the newest version with full adapter coverage (currently 1.11). `latest` intentionally does not track 1.12 while some adapters — notably Databricks — lack a 1.12-compatible release; to use 1.12 today, pin the project to it explicitly.
- Projects pinned to a version below 1.8 (which is end-of-life upstream) are clamped up to 1.8 inside the sandbox.

At the time of writing, no stable `dbt-core` 1.12 is published to PyPI, so the 1.12 venv pins the latest pre-releases (`dbt-core==1.12.0rc1`, plus pre-release Snowflake and BigQuery adapters). Adapters without a 1.12-compatible release — including Databricks — stay on their existing 1.10/1.11-era pins inside the 1.12 venv.

You don't need to configure anything — the version is selected automatically from the project's dbt connection settings.

## Costs
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