Developer builds tool to filter and clean verbose LLM output using a second model

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A developer named Zach Ahn has published an open-source tool on GitHub called 'vomit' aimed at addressing excessive or cluttered text output from large language models like Claude. The tool works by passing verbose LLM responses through a secondary language model to clean and condense the output. The project was shared on Hacker News, where it received modest early attention with five points and no comments at the time of posting. The utility targets a common frustration among developers who find that modern LLMs often produce unnecessarily lengthy or poorly structured responses. The lightweight tool is available publicly on GitHub for developers to use or contribute to.

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