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Measure when to use Jev and other models on your data, then route accordingly.
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User repository on GitHub
Measure when to use Jev and other models on your data, then route accordingly.
Repo stats from the GitHub API, cached Oct 2026.
Janus sends each decision to a small model or to a larger one, according to how confident the small model is. It measures where that line sits on your data before it routes anything. Janus ships no default threshold: it measures one. It measures from either of two inputs: a labelled dataset — --dataset, with a gold label, so the report is about how often each model is right;
Quoted from the project's README. Read the full README.
pip install "janus-decide[typesafe,deepseek]"
janus measure \
--dataset mydata.jsonl --labels mylabels.json \
--primary typesafe:jev-latest \
--fallback deepseek:deepseek-v4-pro \
--out janus.jsonWatch out
MIT-licensed; the Web of Science labels come from publication metadata rather than per-document annotation, so part of the error measured there is label ambiguity, and the bare package depends only on numpy with each backend as an extra.
Short answers drawn from the linked project or page.
Posts, threads, and videos about this entry from around the web.
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FacebookClinicnotes
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Original write-ups on what this entry is for.
Posts from builders shipping with Jev right now.