advocaat
small type-safe client for asking Jev questions about a dataset.
무엇을 판단하는가
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 NOUL decision. Read the source to confirm.
NOUL 호출은 이렇게 생겼다
이 질문 유형의 일반적인 뼈대이지 이 프로젝트의 실제 코드가 아니다.
from typesafe import TypeSafe
ts = TypeSafe()
result = ts.evaluate(
state=tool_call,
questions={
"is_risky": {
"type": "noul",
"instructions": "Could this call delete or overwrite user data?",
}
},
)
if result["is_risky"] and result["is_risky_confidence"] > 0.6:
escalate_to_human(tool_call)인프라 / SDK / 연동 프로젝트 더 보기
jev-mcp (jkudish)proof-of-concept MCP server that puts Jev claim verification, content screening, and candidate ranking behind standard MCP tools.eveVercel's eve engine ships Jev as the default evaluation model (`typesafe-ai/jev`) in its experimental evaluate path.AI CLIVercel Labs CLI that can run Jev as the evaluation model for its `evaluate` command.jev-mcp (blakestone-x)MCP server exposing Jev classify, score, check, match, and screen as tools for any agent, with confidence on every answer.