JarvisCore

Python multi-agent runtime that ships Jev natively from 1.12, where agents ask typed `Choice`, `Score` and `Noul` questions through a decision client separate from the text model, the Kernel picks a specialist subagent by `Choice`, and each retrieved RAG passage is withheld from the generating model when its prompt-injection `Noul` exceeds 0.70.

CHOICE 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()  # reads TYPESAFE_API_KEY
result = ts.evaluate(
    state=page_state,
    questions={
        "next_action": {
            "type": "choice",
            "options": ["click", "scroll", "type", "done"],
            "instructions": "What should the agent do next?",
        }
    },
)
action = result["next_action"]          # the chosen option
confidence = result["next_action_confidence"]