Show HN: filtersql – A Dependency-Free JSON-to-SQL Compiler for LLMs and WebAPIs (github.com)

A new tool called filtersql has been introduced, offering a dependency-free solution for converting JSON payloads into parameterized SQL queries. This compiler is designed specifically for frontends, REST APIs, and large language models (LLMs), allowing users to define queries in a declarative JSON format which filtersql then transforms into safe SQL. It is not an Object-Relational Mapping (ORM) system; rather, it focuses solely on constructing and returning the SQL queries, leaving execution to the caller, thus maintaining compatibility with any Python database driver. This innovation is significant for the AI/ML community as it enhances the safety and efficiency of querying databases using LLMs. It ensures protection against SQL injection by default, as every query generated is fully parameterized. Additionally, filtersql supports multiple databases, including PostgreSQL, SQLite, MySQL, and Oracle, and offers high-performance pagination with cursor-based navigation, eliminating the performance concerns associated with traditional OFFSET methods. By facilitating structured intent generation and maintaining a JSON-first approach, filtersql empowers developers and data scientists to interact with databases more securely and directly, effectively bridging the gap between AI-generated data requests and SQL execution.