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CommunityTools & Integrations326 starsVerified 2026-09-22

Jev Router

Wrappers for Claude Code and OpenAI Codex that ask Jev to choose a model tier for each fresh user turn while preserving each CLI's native interface, tools, sessions, permissions, and authentication. Ships as the jev-claude and jev-codex commands.

Category
Tools & Integrations
Published by
Community
Author
gargpratyush
Added
2026-09-22
Tagscommunityjavascriptclaude-codecodexrouting

Highlights

  • Both commands launch the real upstream CLI; Jev only chooses the model for a fresh user turn.
  • No Anthropic or OpenAI API key is required when the CLI is already logged in with a subscription.
  • Shows the last turn's model in the status line, for example haiku p=0.98 with 8% context.
  • Bundles a /jev-explain skill that renders the factors behind the last routing decision.
  • Keeps up to 20 recent routing exchanges per session in mode-700 temp files, deleted after 7 days.

Quickstart

bash
npm install -g jev-router
echo "JEV_API_KEY=YOUR_API_KEY" > ~/.jev-router.env
jev-claude   # or jev-codex

Watch out

MIT-licensed. Needs Node.js 20.12+ and a logged-in Claude Code or Codex CLI plus a JEV_API_KEY; prompt text is sent to TypeSafe, and documented compatibility testing is on Windows with specific CLI versions.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

LLM-as-a-judge, sped up

Jev has spoken. It picked which model is AGI. 20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free. (I tried a bunch of prompts and still didn’t burn through $0.10.)

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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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Instant compaction with Jev

A Claude session from 1M to 86K tokens

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be  Show more

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Vercel's fx safety reviewer, 18x faster

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

Pranit
Pranit
Vercel
@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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Jev lands on OpenRouter

700 leads scored for $0.09