jev-review-action

Where it calls Jev

const TYPESAFE_URL = 'https://api.typesafe.ai/v1/systemone';

src/jev.mjs:22

The link points at the commit we read, so the line number still holds.

What it asks Jev

These question sets are lifted from this project's source exactly as written.

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    uses: { type: 'boolean', instructions: 'Uses Jev?' },
  },
});

Other projects in this category

• jev-review ▶ — A staged code-review workflow and local dashboard built with TypeSafe Jev.
• oxlint-plugin-jev ▶ — Lint rules written in plain English. Oxlint finds the code, TypeSafe Jev answers the question.
• patdown ▶ — typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
• jev_antispam_bot ▶ — Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev
• pi-heed ▶ — Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
• mastra-jev-moderation ▶ — Input moderation for Mastra agents on TypeSafe Jev — one file
• gg-friggin-ez ▶ — Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
• actiongate-jev ▶ — Runtime authorization and guardrails for AI-agent tool calls with deterministic policy and TypeSafe Jev via OpenRouter.