OpenRouter adds a Jev Router detail page
OpenRouter links to a Jev Router explainer page alongside its measured agent-benchmark latency results.
Read more: https://openrouter.ai/typesafe/jev-router
You can see Jev Router's thinking process in OpenRouter Chat. The routing insights panel shows the model it picked for each turn and the scores behind it, like task, difficulty, precision, and larger model benefit. Test Jev Router here: https://openrouter.ai/chat?models=typesafe/jev-router
Jev Router runs on Jev, TypeSafe's first Decision / System One model. Before each turn, Jev reads your prompt and scores it on difficulty and precision. Also checks whether a bigger model or more effort would help, whether a cheaper model is enough, and whether the task changed.
On five agent benchmarks, Jev Router had a faster median time to first token than every other router we tested.
On four agent benchmarks, Jev Router solved 82% more tasks than our Auto Router (237 vs 130 of 423).
Introducing typesafe/jev-router: a cache-aware model router powered by Jev and @typesafeai The Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. Here's how it works 👇🏻
If the Jev call times out or returns invalid output, the request fails instead of falling back to another router. Each response includes routing metadata with the reason for the choice. Try it now using "typesafe/jev-router" in your app, or, see Jev Router's thinking.
Jev reads the conversation text only to pick the model and effort. It runs under zero data retention (ZDR) terms, so nothing is stored or trained on. Attachments are never sent to Jev, and requests with "zdr: true" work with Jev Router.