Jev AI

jevgrep (allebee)

filters logs and other text streams, including live `tail -f` output, by asking Jev one Noul per line against a plain-English question and printing lines at or above a probability threshold, with a hand-labelled benchmark against Claude in the repository.

作者
allebee
分野
Log triage
カテゴリ
データのラベリングと整備
種別
REPO
ホスト
github.com
GITHUB で見る

何を判断するか

CHOICE

Picks one option from a fixed set

SCORE

Rates against ordered levels

NOUL

Answers a yes / no question

Inferred from this project's own one-line summary in the community list — it reads as a SCORE decision. Read the source to confirm.

SCORE 呼び出しの形

この質問型の一般的な骨格であって、このプロジェクトの実際のコードではない。

from typesafe import TypeSafe

ts = TypeSafe()
result = ts.evaluate(
    state=candidate,
    questions={
        "relevance": {
            "type": "score",
            "levels": ["low", "medium", "high"],
            "instructions": "How relevant is this to the query?",
        }
    },
)
if result["relevance"] >= 0.7:
    keep(candidate)
データのラベリングと整備の他のプロジェクト