Hugging Face smolagents Powers AI Agent That Converts Plain Text to SQL Queries

A developer tutorial published on DEV Community demonstrates how to build a Text-to-SQL AI agent using Hugging Face's smolagents library, enabling non-technical users to query databases in plain language. The article argues that a single LLM prompt approach is unreliable, as models can generate syntactically valid but semantically incorrect SQL without any self-correction mechanism. smolagents addresses this by running a CodeAgent that follows a think-act-observe loop, writing real Python code, executing SQL, reviewing results, and retrying if the output appears wrong. The tutorial uses an in-memory SQLite database to keep the example accessible, and the full source code is available in a linked public repository. Security considerations for connecting such an agent to a production database are also covered in the guide.