MEDIA PREVIEW
Overview & result
The author connects Jev to Codex Router so each prompt can be classified and routed to Luna, Sol, or Astra with an appropriate reasoning level.
From the original post
First Jev usecase for me and I think it's going to save me money.
I connected Jev to Codex Router for automatic model selection. Each prompt is classified and routed to Luna, Sol, or Astra with an appropriate reasoning level. Pretty cool.
Repo: https://github.com/0xNatoshi/jev-codex-router
How Jev fits in the loop
- Codex supplies the incoming prompt and task state.
- Jev chooses the model and effort tier from a bounded set.
- Codex executes the selected model and owns the resulting coding work.
How to reproduce
- Open the repository and verify the current Codex integration and configuration steps.
- Run simple, medium, and complex prompts and log the selected model and effort level.
- Compare the route decisions with a manually chosen baseline and inspect low-confidence cases.
Why this build matters
It is a clean, easy-to-understand example of Jev as a model-selection layer in a coding agent.
Limitations
- The reviewed post does not disclose the routing rubric or threshold policy.
- A wrong route can reduce quality or increase cost, so the fallback path must remain visible.
- The repository and current Codex interfaces may change independently.