/3 Most agent context is too noisy before it even reaches the model. Headroom compresses tool outputs, logs, files, and RAG chunks before they hit the LLM, cutting token usage by 60–95% while keeping the answers intact. It works as a Python/TypeScript library, zero-code proxy,
Headroom compresses agent context to reduce token usage drastically
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