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 the LLM never directly touches the data. All computations are deterministic and executed by code, using the database as the single source of truth. The framework emphasizes auditability, security, and the ability to run effectively on inexpensive models. The author provides examples and a quick start guide for implementing TRACE, highlighting its potential for building verifiable agents across various data domains.
