Open-Source Tool 'higi' Claims to Auto-Repair Malformed LLM Outputs in Under 15 Microseconds

A developer has released an open-source Python library called 'higi' designed to prevent production crashes caused by malformed or truncated JSON outputs from large language models like OpenAI and Gemini. The tool acts as a middleware layer that intercepts raw LLM strings before they reach application logic, automatically fixing common issues such as missing brackets, Python-style single quotes, and incorrect boolean formatting. Using a single decorator called @shield, developers define a target data schema and a fallback state, ensuring their functions always receive clean, correctly typed data. Benchmarks conducted over 50,000 iterations show the healing process adds roughly 15 microseconds of latency per call, which the author notes is negligible compared to a typical LLM response time of around one second. The library is available on PyPI via 'pip install higi' and its source code is hosted on GitHub.