Vomit: Clean up Claude 5's token output with a separate LLM
What happened
Vomit is a lightweight tool that takes the raw token stream generated by Anthropic’s Claude 5 model and runs it through a second, smaller language model to clean up formatting errors, stray tokens, and other output glitches. By separating the cleanup step, developers can get cleaner, more reliable text from Claude without modifying the main model itself.
Why it matters
This approach shows that post‑processing with a dedicated LLM can improve the usability of large models, potentially reducing the need for costly fine‑tuning and making AI outputs more production‑ready across the industry.
Is this a big deal?
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