WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more
jev-cli
An unofficial Python CLI and stdio MCP server for Jev: send text or JSON state with typed questions and get machine-readable noul, choice, or score answers from the official API, OpenRouter, Vercel, or a proxy.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- tumf
- Added
- 2026-09-22
Tagscommunitypythonclimcpopenrouter
Highlights
- Supports all three Jev primitives - noul, choice, and score - and sends multiple questions in one request with the run command.
- Accepts text, JSON, files, and stdin, emits compact JSON by default, and can print only the primary value for shell scripts.
- Providers: official TypeSafe with jev-latest, Vercel AI Gateway with typesafe-ai/jev, OpenRouter with typesafe/jev-1.13, and Jev-compatible proxies.
- Ships a stdio MCP server, jev-mcp, with four tools in the same install, and never takes the API key as a command-line argument.
- Exit codes are structured: 2 for invalid arguments, 3 for missing or rejected auth, and 4 for connection or rate-limit errors.
Quickstart
bash
uv tool install jev-cli
export TYPESAFE_API_KEY=YOUR_API_KEY
jev noul --question 'Does this message express urgency?' --state 'Please restore service today.' --valueWatch out
MIT-licensed but unofficial and not affiliated with TypeSafe AI; needs uv and a key for the chosen provider, and prose generation, arithmetic, and date comparison are explicitly out of scope.
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From the community
Posts from builders shipping with Jev right now.
AI multiple choice, not essay writing
Screening agent actions with Jev
Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.
@CompleteSkeptic
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x
Cua's small System One models
1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua
A 706K-parameter form filler
cua open sourced a 706k param model that fills a whole form in one 50ms pass the llm agent doing the same form took 23 turns and 39.6 seconds the specialists are going to eat the generalists from the bottom
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Navigating Neo4j with Jev
Jev 这个 waitlist 还是很给力的，昨天申请，今天就能用上。 给已经拿到 API、但还不知道怎么玩的人整理了一份 Awesome Jev，目前我能确认到的 Jev 项目基本都在这里： 1. jev-ultrafast Browser Use 做的高速浏览器 Agent。Jev Show more
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Reranking 33,047 catalog entries
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有美团、阿里的老哥嘛？ 试试加一路召回、重排（离线、近实时实现），我觉得有奇效 他在文本理解上 跟之前机器学习、llm很不一样 还能自动打标签做特征