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Jev Model Router CLI

A CLI recommends an agent or model from a task and the user's available AI subscriptions.

Added to Jevfast

How it uses Jev

The router filters configured agent accounts and enabled models using fixed quota and reserve rules, then sends task text to TypeSafe for ranking eligible models and choosing an effort; it starts the selected agent in a Herdr pane.

What Jev decides

Cache value judgmentExample answers · not a recorded Jev response · Source ↗
Question 1 · cacheValue
YOUR APP
INSTRUCTION

How valuable is staying on the current model cache versus switching?

STATE

A candidate task-routing request with the current candidate count; Jev evaluates whether preserving the current model cache is valuable.

JEV · SCORE
03

App workflow

  1. Load local configuration

    Load local account, model, and usage configuration.

  2. Filter eligible models

    Filter disabled or ineligible models and apply quota/reserve constraints.

  3. Rank with TypeSafe

    Ask TypeSafe to rank remaining candidates and choose reasoning effort.

  4. Launch or preview

    Show the decision and proposed command in dry-run mode, or start the agent in a Herdr pane.

Why it is interesting

It combines deterministic subscription/quota filtering with a bounded Jev ranking decision, then hands execution to existing coding-agent CLIs.