Reading up on Headroom
3 deep · digging since jan 14
- Introduction | Headroom
Headroom claims 87% token reduction with 100% accuracy by compressing tool outputs, logs, and other LLM context before model inference.
- GitHub - chopratejas/headroom: The Context Optimization Layer for LLM Applications
Headroom compresses tool outputs, logs, and RAG chunks before they reach an LLM, reducing token count by 60–95% without changing answers.