36 docs tagged with "AI"

Learn about AI-powered features and agents in dbt that help you build, manage, and consume governed data at scale.

dbt Wizard in the dbt platform helps teams investigate, change, validate, and ship trusted dbt work with warehouse-aware AI.

Use dbt Wizard CLI to find test coverage gaps, check assumptions against warehouse data, and add focused dbt data tests.

Use dbt Wizard to plan, write, and validate Semantic Layer entities, dimensions, metrics, and saved queries.

Install, verify, update, and uninstall the dbt Wizard CLI on your local machine.

Bring your own API key to use dbt Wizard CLI. Supports OpenAI, Anthropic, AWS Bedrock, Google Gemini, Snowflake Cortex (preview), and Databricks.

dbt Copilot is dbt's inline AI assistance experience, providing single-click generation of SQL, documentation, tests, and semantic models.

Chat with your data using the Analyst agent powered by the dbt Semantic Layer

Answers to common questions about AI being enabled by default, dbt Wizard usage, consumption pools, trials, spend limits, and BYOK billing.

Full reference for both dbt Wizard configuration files — the agent runtime config and the per-project dbt Wizard settings.

Understand what dbt Wizard CLI telemetry collects, why it is collected, and how to opt out.

Use the dbt Wizard home tab in the dbt platform for an agent-native development workflow — iterate in natural language, review inline diffs and DAG previews, and validate changes without leaving the agent.

Use dbt Wizard in the Studio IDE to write or refactor dbt models from natural language, validate with your dbt engine, and run against your warehouse with full project context.

Realistic analytics engineering scenarios for dbt Wizard — from building new models to debugging failures.

Use dbt Wizard CLI to gather job evidence, classify a failure, identify its root cause, and validate a proposed fix.

Configure dbt Wizard CLI to reuse production state while developing and validating a subset of a dbt project.

Install dbt Wizard CLI plugins from marketplaces and review lifecycle hooks before allowing them to run.

Run dbt Wizard in headless mode for scripts, CI pipelines, and automation.

Understand the dbt Wizard agent loop, tools, project context, and approval workflow.

A cookbook of prompts and real-world examples to use dbt Wizard efficiently.

Invite business users to dbt Wizard with read-only licenses so they can ask questions of governed production data in Explore mode, without a developer license.

Move project context and skills from Claude Code to dbt Wizard.

The AI models dbt Wizard supports in the dbt platform and CLI, plus how model pricing works.

Start a dbt Wizard trial, set a spend limit, and manage Wizard billing for the dbt platform and local CLI.

Use dbt Wizard CLI to map an unfamiliar dbt project, investigate model behavior, and identify downstream impact.

Install the dbt Wizard local CLI, complete first-run onboarding, and send your first prompt from the terminal.

Understand MCP server support for dbt Wizard in the dbt platform.

Connect the dbt Wizard CLI to MCP servers to give it more tools and context.

Create and use skills to give dbt Wizard CLI reusable, project-specific instructions.

Create and use skills to give dbt Wizard in the dbt platform reusable, project-specific instructions.

Delegate work to specialized subagents in dbt Wizard CLI.

Use dbt Wizard to assess impact, run the right level of validation, and review a dbt change before merging it.

Full reference for all wizard subcommands and global flags.

Full reference for Wizard interactive TUI slash commands.