Jev is not a chat or code-completion LLM
Jev is a System One model. It does not generate text, write code, or hold a conversation. It takes a state and a set of typed questions and returns structured answers your code can use directly:- A
choicefrom a list of options, with per-option probabilities. - A
scoreon a rubric you define. - A
noul(0–1) for a true/false statement.
model: "jev-latest" setting that turns your coding agent into a Jev-powered agent, because the two systems solve different problems.
What you probably want instead
Pick the row that matches what you were trying to do:When Jev is worth reaching for
Even though Jev isn’t a coding-agent LLM, it’s often exactly the right tool inside an agent or app you’re building with a coding agent. Reach for Jev when your code needs to:- Route a request to one of a fixed set of destinations, and know how confident that routing is.
- Score something on a rubric (urgency, quality, risk) and branch on the number.
- Check whether a statement is true of a document, message, or record before taking an action.
- Replace a fragile prompt that asks an LLM to “return JSON” with a call that returns typed values by construction.
Next steps
- System One — What a System One model is and how it differs from an LLM.
- Quick start — Try Jev in the Playground, over HTTP, or with the Python SDK.
- Agent skill — Give your coding agent context on the TypeSafe API.
- Patterns — Common architectures for building with TypeSafe.

