headroom

As agent context fills with tool logs and RAG chunks, the bottleneck becomes what you feed the model, not the model itself. Headroom sits in front of the LLM and compresses that firehose, claiming sixty to ninety five percent fewer tokens without hurting answers. If it holds up, this is the kind of unglamorous middleware that quietly makes agents cheap enough to run.