Jev Wrapped

reads up to 1,500 posts from the last year of a public Telegram channel and asks Jev a `Choice` over ten kinds of post plus three `Noul` questions (paid ad, clickbait, emotional pressure) about each, counting an ad from 0.7, or from 0.4 when the kind is also ad, and clickbait and pressure from 0.5, then draws the monthly mix on a shareable card that links the highest-scoring posts for a manual check.

SCORE 调用长什么样

这是该提问类型的通用骨架，不是这个项目的真实代码。

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)