A small Go utility that cleans up Claude's token vomit with a separate LLM. It routes verbose model output through a cheaper secondary model so the readable version lands in your context instead of the raw stream, which saves tokens on the expensive model.
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Send verbose responses to a cheap model for summarising before they re-enter the main conversation.
Keep the expensive model's context clean so fewer tokens are re-read on every turn.
Turn a multi-thousand-line transcript into something a human can actually review.
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