nac7/tooltrim

Drop-in compression for LLM agent tool outputs: cut ~99% of tool-result tokens while keeping (often improving) answer accuracy. Provider-agnostic, with a faithfulness benchmark and an OpenAI-compatible proxy.

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tooltrim

nac7/tooltrim

MCP server Claude CodeCodexCursor +2

Drop-in compression for LLM agent tool outputs. Shrink bloated HTML/JSON/log results before they re-enter context — cut tokens, stay on-task, keep full output retrievable. Runs locally from the tooltrim Python package.

not rated 3 2mo ago A tokens not measured original MIT