@attuneui/jev
The model layer, for the server. It builds the core questions from your
catalog, sends one round to Jev (TypeSafe’s System One), and turns the
answers into the typed judgments @attuneui/core reads.
npm install @attuneui/jev @attuneui/core @typesafe-ai/sdk@typesafe-ai/sdk is a peer dependency, because your server creates the
client.
One round
| Export | What it does |
|---|---|
buildRound(catalog, { app, snapshot, command }) | The state and every core question for one round, the command questions too when the user typed one. |
readRound(answers, questions, catalog) | The judgments from the answers. Throws a JevAnswerError on anything that does not fit the questions. |
askJev(input) | Sends the round with a total time budget and always answers: on a timeout, an error, an answer that does not fit, or no key, it returns your fallback and logs one line. |
createRealtimeJevClient({ apiKey, model }) | A client tuned for a real-time UI: a 4 s attempt timeout and one quick retry. |
describeJevError(err) | A failure in one short sentence, for the log. |
askJev takes the client (or null without a key), the state and
questions from buildRound, a read function, a fallback
({ name, answer }), the budgetMs, a logTag, and an optional signal
to stop when the browser disconnects. Its answer has the judgments, their
source ("jev" or your fallback’s name), and the model and timing.
The questions
The core questions are the same for every app, built from the catalog:
| Id | Kind | Asks |
|---|---|---|
goal | Choice | What the user is trying to do, from your goals |
rel_<panel> | Score | How useful each panel is right now |
struggling | Probability | Whether the user is having trouble |
layout | Choice | Focus, compare, or overview |
expertise | Score | How familiar the user is: new, comfortable, or expert |
next_action | Choice | The likely next step, from your actions |
cmd_panel, cmd_action | Choice | With a command: which panel and which action it means |
To add your own questions, build them next to these with
buildCoreQuestions and buildCoreState, and read them with the readers
(readChoice, readScore, readNoul) next to readCoreJudgments. The
studio demo’s server does this.
Never call the model from the browser: the key must stay on your server.