chopratejas/headroom
Verdict: Try todayHeadroom compresses tool outputs, logs, files, and RAG chunks before they hit LLMs, slashing token counts by 60-95% while maintaining answer accuracy. It's a library, proxy, and MCP server rolled into one Python package. For builders juggling LLM costs and performance, this is a Swiss Army knife.
Why builders care
Directly reduces LLM token costs without sacrificing output qualityWho should steal this
AI app devs burning cash on token countsGoblin build idea
Integrate into existing RAG pipelines to cut costs immediately