CommunityJev Guides & Articles
Model router CLI
A CLI where you give it a task plus the AI subscriptions you already have, and Jev picks which agent or model should handle it, paired with Herdr to route from one terminal.
- Format
- Article
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- Community
- Last verified
- Oct 2026
Works forJev for Classification
Used inJev for Software & DevTools
Highlights
- Input is a task plus the list of subscriptions you already pay for, so routing stays inside existing plans.
- Jev returns the agent or model that should pick the task up, acting as a fast judge rather than doing the work.
- It is designed to sit alongside Herdr so a single terminal covers several subscriptions at once.
- The author reports it replaced opening the Claude and Codex apps separately for everyday work.
Watch out
The capture is a launch post, not documentation: it points at a YouTube walkthrough rather than a repository, and no source, install command, question format or API usage is shown in the text. Not stated anywhere: how the subscription list is entered, what a task input looks like, whether the router picks from a fixed agent list or free-text names, how ties or unroutable tasks are handled, whether context limits or per-model cost are accounted for, and whether the routing is confirmed before any work starts. The author's justification is that judgment latency is what makes routing viable, but no latency figure, no accuracy figure and no comparison against routing without Jev is given. A reply agrees that fast judging suits the use case and links to a deeper discussion whose contents are not in the capture. Copy reviewed against the linked page on 2026-10-04.
Questions about this entry
Short answers drawn from the linked project or page.
The captured text does not say. The claim is that Jev tells you which agent or model should pick the task up, and that pairing it with Herdr makes that useful from one terminal. Whether the CLI dispatches the task, writes a prompt somewhere for you to run, or only prints a decision is not documented, and the linked walkthrough is a video rather than a repository.
You tell it. The post describes the input as a task plus the current AI subscriptions you have, so the list is something you supply rather than something detected. The capture does not show the format, does not say whether accounts are verified, and does not say what happens when a subscription is expired, capped or rate-limited.
Undocumented. There is no described fallback, no confidence threshold, no confirmation step and no stated behavior for tasks that fit none of the listed agents in the captured text. The stated argument is that Jev is a very fast judge, but no accuracy measurement and no comparison against routing without it is provided.
The post reads as a workflow demo. The author describes it as their new default setup, replacing separate Claude and Codex app launches, and points to a YouTube walkthrough of the Jev and Herdr combination. No repository, package name or install command appears in the text, so availability is not established by the post itself.
Nidhi Singh built the model router CLI with Jev. It is designed to sit alongside Herdr so a single terminal covers several subscriptions, with Jev acting as a fast judge that picks which agent or model should take the task.
Opening the Claude and Codex apps separately. She calls it her default workflow and says she is addicted to it, which is an anecdote about her own routine rather than a measurement.
Martin Ronfort agrees that using Jev as a fast judge for routing fits its low latency and links a deeper discussion from AGTP insights. That is third-party agreement without numbers, not an independent result.
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