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[ARTICLE · art-156409] src=dev.to ↗ pub= topic=ai-tools verified=true sentiment=↑ positive

poolprobe: A doctor for OpenAI-compatible model pools: probes…

A developer released poolprobe, an MIT-licensed, standard-library-only Python tool that probes every model in an OpenAI-compatible pool and classifies each failure as ALIVE, TRANSIENT, CREDENTIAL or PERMANENT. The tool refuses to prune any model deemed alive, requiring five independent guards to agree before issuing a death verdict. The author cautions that any such checker can produce false positives and should be used to surface candidates for review rather than to grade output.

by read1 min views4 publishedOct 23, 2026

Most poolprobe write-ups stop at the README: here is what the tool does, here is how you run it. This one covers what it refuses to do, and where it breaks.

A doctor for OpenAI-compatible model pools: probes every model, classifies each failure (ALIVE, TRANSIENT, CREDENTIAL, PERMANENT) and refuses to prune anything alive — five independent guards must agree before a death verdict. Stdlib only.

In Russian: Доктор для OpenAI-совместимых пулов моделей: прогоняет каждую модель, классифицирует отказ (ALIVE, TRANSIENT, CREDENTIAL, PERMANENT) и не даёт снести живое — смерть подтверждают пять независимых проверок. Только stdlib.

pip install poolprobe                 # stdlib engine, generic gateway lane

Python. MIT licensed. Standard library first: the tool reads the data you point it at and sends nothing anywhere.

Every rule in a checker like this can produce a false positive. Use it to find candidates for a rewrite, not to grade a writer, and not where the voice is the point.

Source, issue tracker and documentation: https://gitlab.com/ameobius-ai/poolprobe

Other tools from the same author: https://ameobius-ai.gitlab.io

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