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Jev Model Routers: Send Each Request to the Right Model

Routing is a classification problem: look at a request and pick a tier. Using a frontier LLM to make that call can cost more than the savings. Jev returns the choice plus a confidence score, so a router can escalate to a stronger model only when it is unsure.

Measure on your own traffic before trusting reported savings. A router's value depends on how often it picks a tier that fails and has to retry.

3 projects

gargpratyush/jev-router

Per-turn model routing for Claude Code and Codex. Simple work goes to the fast tier and difficult work to the strong tier.

JavaScript

andrelandgraf/safer-with-jev

Neon Function proxy for the Neon AI Gateway. Jev classifies each request and routes it to the right downstream model.

TypeScript

iamvatsalpatel/tiershift

Sends each LLM request to the cheapest model tier that can handle it and escalates on evidence.

TypeScript

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