This article introduces agentic TRACE, an open-source framework designed to build LLM-powered data analysis agents that eliminate data hallucinations. TRACE shifts the LLM's role from analyst to orchestrator, ensuring all computations are deterministic and data-driven. The framework achieves this by having the LLM work with metadata instead of raw data, relying on the database as the source of truth, and providing a complete audit trail. Example use cases demonstrate the system's ability to deliver verifiable results on inexpensive models like Gemini 3.1 Flash Lite. The author provides a quick start guide and encourages contributions to the project.
