dbt-llm-agent leverages large language models to transform how data teams interact with dbt projects. It empowers users to explore and query their data models using plain English, auto-generate SQL based on high-level prompts, and retrieve model documentation instantly. The agent supports multiple LLM providers—OpenAI, Cohere, Vertex AI—and integrates seamlessly with dbt’s Python environment. It also offers AI-driven code reviews, suggesting optimizations for SQL transformations, and can generate model tests to validate data quality. By embedding an LLM as a virtual assistant within your dbt workflow, this tool reduces manual coding efforts, enhances documentation discoverability, and accelerates the development and maintenance of robust data pipelines.