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dbt Wizard CLI Beta

The dbt Wizard CLI helps teams ship higher-quality dbt changes faster and with less risk. Built for governed data development in dbt, it understands your project, routes to the right dbt tools, validates changes, and shows how logic evolves from your local machine.

You can run the dbt Wizard CLI locally from any dbt project that uses the dbt CLI, Fusion, or dbt Core.

Install the dbt Wizard CLI by running the following commands:

Run the following in Terminal:

curl -fsSL https://public.cdn.getdbt.com/dbt-wizard/install/install-wizard.sh | sh

For a first session walkthrough, visit Use dbt Wizard locally.

Use dbt Wizard CLI to:

  • Investigate lineage, model health, and downstream impact
  • Debug failed runs and propose fixes
  • Build or refactor models from plain-language prompts
  • Update SQL, YAML, refs, tests, and docs together
  • Validate changes before review
  • Run non-interactively in CI with exec and review

For more examples, visit Use cases and examples.

Supported AI providers

dbt Wizard

dbt Wizard supports different AI providers depending on where you use it.

Providerdbt Wizard in dbt platformdbt Wizard CLI
OpenAI✓ (managed or BYOK)✓ (OpenAI subscription or BYOK)
Anthropic✓ (BYOK)✓ (BYOK)
Azure AI Foundry / Azure OpenAI✓ (BYOK)✓ (BYOK)
AWS Bedrock-✓ (BYOK)
Google Gemini-✓ (BYOK)
Snowflake Cortex-✓ (BYOK)
Databricks Unity AI Gateway-✓ (BYOK)

Anthropic enterprise and subscription licenses (such as Claude Enterprise) aren't supported per Anthropic's terms of service. BYOK requires an Anthropic API key.

Refer to the following pages for more information:

Looking for the in-platform experience? Visit About dbt Wizard in the dbt platform.

Use dbt Wizard locally

See it in action and share your feedback

Want to see dbt Wizard in action? Check out the demo video.

We'd love to hear how dbt Wizard is working for you. Share your feedback by either running the /feedback slash command in your interactive terminal session or by going to the #dbt-wizard channel in the dbt Community Slack.

Thanks so much for your help in improving dbt Wizard and dbt data development!

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