token-optimization Tools

Headroom is a context optimization layer that compresses tool outputs, logs, files, and RAG chunks before they reach an LLM. It solves the problem of high token costs and slow response times caused by verbose agent outputs and retrieved data. It's for developers and teams building AI agents, coding assistants, and RAG applications who want to reduce costs and latency without changing model behavior.