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How to cut per-turn model spend in a Hermes agent with Hermes Jev Skills

Let Jev pick a cheaper model per turn, shadow mode first, then switch on.

Who it is forA developer running a Hermes agent on a frontier model who wants lower token costs without losing answer quality.

The problemAgents spend frontier-model tokens on small routing decisions such as which model should answer this turn.

The outcomeEach turn is routed to a model Jev judges good enough, and a shadow log shows what it would have done before anything switches.

What you need first

  • Python 3.9 or newer (no dependencies)
  • A TypeSafe key from console.typesafe.ai
  • Hermes, Claude Code or Codex installed on the machine (the installer finds them)

Steps

  1. Run python3 install.py from the cloned repo folder.
  2. Run jev setup-key, paste your key into the page it opens, then run jev doctor.
  3. Run jev models suggest --write to draft routing pools from price bands.
  4. In Hermes, run /jev routing shadow and review the log for a day.
  5. When the log looks right, run /jev routing on.

Prompt for your agent

Install the hermes-jev-skills repo from kerpopule on this machine, set up the key, and run `jev models suggest --write`. Enable `/jev routing shadow` for the <profile> profile and report the decisions logged so far, with tier, model and confidence for each. Verify that no model switch happened while in shadow mode.

Caveat. A plugin can swap the model but not the provider connection, and the routing commands are for Hermes only.

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