Simon Willison leverages the DSPy framework to systematically evaluate and refine the system prompts used by Datasette Agent for executing read-only SQL queries. By utilizing an automated harness and a gold-standard dataset, the research identified specific prompt inefficiencies, such as incomplete schema listings that led to column-guessing errors.
Background
DSPy is a framework for optimizing language model programs, particularly focusing on prompt engineering and chain-of-thought reasoning. Datasette Agent is a tool that allows users to query SQLite databases using natural language.
- Source
- Simon Willison
- Published
- Jul 3, 2026 at 02:25 AM
- Score
- 6.0 / 10