jev-dev-kit

A small framework for building agents on TypeSafe Jev. Community project, not affiliated with TypeSafe. It fixes one rule that every working Jev project ends up following: Jev only ever chooses. Everything an agent does is expressed as a choice among candidates the program supplies; anything that has to be produced rather than chosen goes through an explicit callback.

Two callbacks, both pluggable, both allowed to be code or a language model:

• options(context): supplies the candidates for a decision when they are not fixed in advance (the interactive elements on a page, the legal moves in a game, the files in a folder).
• text(context): supplies a value that must be written rather than picked (a search query, a form field, a commit message).

The framework owns the loop around the model: building the state, fanning out the questions, validating answers, cross-checking DONE and stuck, detecting repeats, falling back visibly when Jev is unsure, tracing every step, and running the control experiments that show whether Jev is actually doing the work.

It contains no network code. You hand it a JevClient, which is any (request) => Promise<response> function: TypeSafe's SDK, one fetch to OpenRouter's Decisions API, a cache, a recorded fixture.

Install

npm install github:chy4pro/jev-dev-kit#v0.3.2

Node 20+, TypeScript types included. Not on npm yet.

Example

import { runLoop, parseFieldText, type App, type JevClient } from 'jev-dev-kit';

// Any function that answers a Jev request. Here: OpenRouter's Decisions API in one fetch.
const jev: JevClient = async (request) => {
  const res = await fetch('https://openrouter.ai/api/alpha/decisions', {
    method: 'POST',
    headers: { Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`, 'Content-Type': 'application/json' },
    body: JSON.stringify(request),
  });
  if (!res.ok) throw new Error(`OpenRouter ${res.status}`);
  return res.json();
};

interface Page { url: string; elements: Array<{ id: string; label: string }> }

const app: App<Page> = {
  observe: () => browser.snapshot(),
  encode: (page) => ({ task: 'Find one-way flights from Zurich to London', url: page.url }),
  decisions: {
    action: {
      kind: 'choice',
      options: (page) => page.elements.map((e) => ({ id: e.id, description: `Click ${e.label}` })),
      rules: 'Advance the task from the current page with one click.',
    },
  },
  act: (chosen) => browser.click(chosen.id),
  fingerprint: (page) => page.url + page.elements.map((e) => e.label).join('|'),
};

const result = await runLoop(app, {
  jev,
  model: 'typesafe/jev-1.13',
  // Values that must be written, not chosen: your code or a small chat model. parseFieldText
  // enforces the {"text": ...} reply format so nothing the model did not return is written.
  text: async (ctx) => parseFieldText(await askSmallModel(ctx)),
  maxSteps: 20,
});
console.log(result.status, result.reason, result.trace);

What the runtime does on every step: observe, let routine handle code-owned steps, collect candidates, send one request with every decision plus the standing goal_done and stuck checks, validate the answers strictly (an unknown candidate or a self-contradicting distribution is asked once more, then falls back visibly), withhold a DONE or BLOCKED the cross-check does not support, act, record the worded outcome into the history the next request sees, and stop on a terminal choice, a verified completion, a budget, three no-change actions, a repeated choice, or three failed actions in a row.

When a value has to come from outside the loop (the calling model in an MCP relay, a person at a prompt), the text provider or act throws NeedsInput; the loop returns status: 'suspended' with the request, and resume(value) continues the same step without asking Jev again.

Also included: runBatch for fan-out judgments without a loop, and shufflingClient and keywordClient as the two controls that show whether Jev is doing the work.

Status

0.3.2. The first consumer is jev-for-chrome, whose shared code this package grew out of. See DESIGN.md for the contract and the reasoning behind it.

License

MIT