Show HN: filtersql – a dependency-free JSON-to-SQL compiler for LLMs and WebAPIs

Description and use

Here's a brief summary of the project:

**Project Summary:** filtersql is an open-source, dependency-free JSON-to-SQL compiler designed for integrating AI capabilities into Large Language Models (LLMs) and Web APIs. This tool offers a rapid prototyping solution for building AI features, RAG (Retrieval-Augmented Generation) workflows, and evaluating model tooling.

**Value Proposition:** filtersql enables developers to add AI capabilities quickly and efficiently without building a custom model stack from scratch. This reduces the time and resources required to develop and deploy AI-powered applications.

**Practical Adoption Path:** To adopt filtersql, developers can start by manually inspecting the code and its documentation to ensure it meets their project's requirements. They should also verify the license, maintenance, and release cadence of the project before integrating it into their workflows. Once validated, filtersql can be used for rapid prototyping and proof-of-concept development, with potential for further integration into production environments after thorough testing and dependency checks.

**Production Readiness:** filtersql has a production readiness level of medium, indicating that it is suitable for internal workflows, proof-of-concepts, and prototyping, but may require additional verification and testing before deployment in production environments. This is due to the limited quality signals and sparse integration

Use in a workflow

Show HN: filtersql – a dependency-free JSON-to-SQL compiler for LLMs and WebAPIs helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.