Tejas Chopra created software that prunes agent instructions measured in tokens before they reach an LLM. He estimated up to 90% of tokens are redundant. Multiple teams at Netflix use Project Headroom, and external projects also rely on it. Chopra reported Headroom saved an estimated $700,000 for users, who collectively gained 200 billion tokens to spend elsewhere. Headroom is open source, released in January, at v0.22, with about 2,000 GitHub stars and 120+ forks. Chopra’s motivation came from a $287 Claude Sonnet bill for debugging, refactoring, and MCP tools querying a database, where pricing was $3 per million input tokens or $6 per million beyond a 200,000 token context limit.
"“A lot of our users are people who have been really burned by token costs, more than anything else,” Chopra said in his presentation."
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