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CommunityRepos & SDKs18k starsVerified 2026-09-22

json-render

Generative UI framework with an experimental Jev composer that selects components and layout from application-supplied candidates through Vercel AI Gateway, rendering catalog-constrained JSON specs.

Category
Repos & SDKs
Published by
Community
Author
vercel-labs
Added
2026-09-22
Tagscommunitytypescriptvercelgateway

Highlights

  • Applications define a catalog of components and actions with Zod schemas, and AI output is constrained to that catalog.
  • Ships renderers for React, Vue, Svelte, Solid, React Native, Remotion, PDF, email, terminal and 3D, plus 36 shadcn/ui components.
  • The Jev composer is unreleased and needs a source build; application code owns components, actions and side effects.
  • The framework's core promise is JSON that matches your schema every time, streamed and rendered progressively.

Quickstart

ts
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/react/schema";
import { z } from "zod";

const catalog = defineCatalog(schema, {
  components: {
    Card: { props: z.object({ title: z.string() }), description: "A card container" },
  },
});

Watch out

Apache-2.0. The Jev API is unreleased and requires a source build and a Vercel AI Gateway key; applications keep ownership of components, actions and side effects.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A million judged questions

Inferring Jev's internals from 1,000 calls

Jevの内部アーキテクチャを推測している技術記事(Jev’s Architecture Unmasked)からメモ。 ・本記事はJevのAPIを約1万回の呼び出して、内部構造を推測したもの ・従来の言語モデルを用いた分類やルーティングでは、トークンを1文字ずつ逐次生成するために膨大な無駄な計算コストが発生していた。 Show more

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The open System One roundup

Jev 发布没几天,开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型: 1、Laya 421M:原生决策模型,支持 Mac 2、Decider-2B:最像 Jev,基于 Qwen3.5 3、NanoJev 0.6B:专门的 Decision Head 4、Reflex:Qwen3.5 + Direct Logits 5、System-One 4B:专门做概率校准 Show more

小墨同学
小墨同学
@xiaomovps

Jev 刚发布没几天,开源社区就出现了同款🔥 Decider-2B模型,是基于 Qwen3.5-2B 做了特殊调整 它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型 但两者还是有几个明显区别: 1、模型 Jev:闭源 System One Model Decider:Qwen3.5-2B,约 1.9B 参数,Apache 2.0 开源 2、价格

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The launch post

Trading bot, one decision per block

Classifying 1,500 real emails

this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away

Diogo Almeida
Diogo Almeida
TypeSafe AI
@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

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