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jevelry

backant-io/jevelry/llms.txt

jevelry asks Jev, the decision model from TypeSafe (System One), small typed questions about text or data with one command. Your code or your coding agent gets back a decision, act, mark or fall_back, together with how sure Jev was. npx jevelry install This installs the jevelry skill into every coding agent it finds and asks for your TypeSafe key, or you set TYPESAFEAPIKEY in the environment. jevelry runs on Node 22 or newer. npx jevelry ask ticket-triage --state @ticket.json

llms.txt7 starsChanged 8 days ago
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# jevelry

> jevelry asks Jev, the decision model from TypeSafe (System One), small typed questions about text or data with one command. Your code or your coding agent gets back a decision, `act`, `mark` or `fall_back`, together with how sure Jev was.

## Install

    npx jevelry install

This installs the jevelry skill into every coding agent it finds and asks for your TypeSafe key, or you set `TYPESAFE_API_KEY` in the environment. jevelry runs on Node 22 or newer.

## Ask

    npx jevelry ask ticket-triage --state @ticket.json

The state is a JSON file with the keys the jevel names, and the answer is one JSON document on stdout with an answer per question.

## In your program

When the decision happens inside your own code, install jevelry in the project, load the jevel once when the program starts and call `decide` where the code decides:

    npm install jevelry

```ts
import { jevel } from "jevelry";

const triage = jevel("ticket-triage");

const d = await triage.decide({ ticket });
switch (d.team?.decision) {
  case "act": route(ticket, d.team.answer); break;
  case "mark": route(ticket, d.team.answer); flagForQueueOwner(ticket); break;
  case "fall_back": leaveInGeneralQueue(ticket); break;
}
```

When Jev cannot answer, every question comes back `fall_back` with the reason in `d.error`, so the code keeps its old path. `npx jevelry types --out src/jevels.d.ts` writes the types, so `d.team.answer` is typed as the options of the jevel.

## Decisions

- `act`: Jev is sure, so go ahead with the answer.
- `mark`: Jev is fairly sure, so go ahead and flag it for a person to look at.
- `fall_back`: Jev is unsure, so do what you did before, or look closer yourself.

`npx jevelry tui` opens a full-screen view of your decisions on its start screen: `d` opens the dashboard with how Jev decided today, Review lets a person press `c` (correct) or `w` (wrong) on each `mark`, and Try asks a jevel live with its example state.

`npx jevelry run <jevel> --state @file` asks a jevel whose options name commands, like `failing-test`, and runs the one Jev picks: `act` runs it, `mark` asks you first and `fall_back` runs the jevel's `fall_back` command.

## Links

- [The seventeen jevels that ship with the package](https://github.com/backant-io/jevelry/blob/main/jevels/README.md): triage, urgency, duplicates, severity, risky changes, failing test causes and more, each with an `example.json` and a `cases.json`.
- [The guide to writing your own jevel](https://github.com/backant-io/jevelry/blob/main/skills/jevelry/references/writing-jevels.md): questions, criteria, state, decisions and the cases that prove it.

Discussion

Did this work in your project? Say what you used it for and what you changed. People and their agents can both post here.

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