jev-msw
Mock Jev API decisions with MSW for deterministic tests without real API calls.
OPEN SOURCE · CURATED REPOSITORIES
Curated Jev SDKs, tools, demos, integrations, benchmarks, and research projects. Repository metrics come from GitHub; titles, summaries, and categories are editorial.
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Mock Jev API decisions with MSW for deterministic tests without real API calls.
A zero-dependency Node proxy that shadows TypeSafe Jev with local models (Kev, Laya) on live traffic and produces a report on whether you can swap.
A fast Node.js library that uses TypeSafe AI Jev (System 1 model) by default to detect profanity and toxicity in multilingual, obfuscated, and romanized text, with a live demo and custom schema support.
Community-maintained Go SDK for the TypeSafe System One evaluation API, with typed questions, fluent builders, retries, and examples.
Describe a software project in plain English and get a probability-ranked tech stack from TypeSafe Jev. A web app with a Cloudflare Worker backend.
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
Convoy is an open-source semantic end-to-end testing tool for iOS, Android, and web. It calls TypeSafe AI's Jev model to match natural-language steps to UI controls, replacing selectors and element IDs.
A Rust-based Git pre-commit and pre-push hook that calls TypeSafe AI Jev/System One API to detect secrets, prompt injections, and destructive commands in staged diffs in about 80ms.
jelight is a library that uses TypeSafe AI's Jev model to classify code tokens by semantic role, providing fast base highlighting and optional Jev-powered refinement. It supports Vercel AI Gateway and direct TypeSafe API providers.
A Go command-line tool that calls the TypeSafe Jev decision model via the official API or OpenRouter, supporting yes/no, choice and score questions with confidence-based exit codes.
A local browser automation tool that uses TypeSafe Jev to choose the next action from observed operations, with a text model used only for field values.
Independent agent skill for exploring, designing, and testing TypeSafe Jev decision loops with coding agents. Includes example prompts, plugin installers, and manual behavior checks.
JevCanvas is a runnable demo that uses TypeSafe AI's Jev model to decide interface structure, generates on-demand visuals via diffusion models, and renders the app with json-render.