LLMpress aims to cut LLM token use for large codebases
LLMpress is a tool meant to reduce the number of tokens sent to an LLM while keeping as much useful information as possible. It does not try to invent a new method. Instead, it combines existing techniques that can make code and prompts smaller.
For code, it uses language-aware minification, while trying to keep links back to the original readable source when possible. It can also apply optional . Its approach is meant to shrink code more aggressively while still making it possible to map the compact version back to the original code.
The long-term goal is to help where large codebases are repeatedly sent to an LLM.
Key points
- LLMpress focuses on reducing tokens sent to an LLM.
- It targets that send large codebases to a model.
- It uses code minification and optional .
- It uses an approach to keep code tied to the original source.
- Its value depends on whether cost drops without hurting answer quality.