AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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尚未检测到更新。GitHub 发布版本后会显示在这里。
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登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
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在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证Local TypeScript AI prompts-in-code playground
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取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Evalution is a local-first development tool. Maintain your prompts directly in your codebase, and
use the web playground to edit parameters, switch models, and see results in real
time, so what you test is exactly what ships.查看完整 README ↗Evalution is a local-first development tool. Maintain your prompts directly in your codebase, and use the web playground to edit parameters, switch models, and see results in real time, so what you test is exactly what ships.
📖 Documentation: evalut.io/n/docs
.prompt.ts filesnpx evalution mcp lets coding agents run prompts, query traces with SQL, annotate them, and build datasetsRun this in the root of your project:
npx evalution
Requires Node.js 22.18.0 or higher.
See the documentation for more detailed guidance.
npm installnpm run devnpm run dev:server -- ui <path>
npm run dev:client
Other useful commands:
npm test — run unit tests (npm run test:coverage for coverage)npm run test:ui — run Playwright component testsnpm run typecheck — type-check the projectnpm run docs — regenerate the API referencenpm run build — build the server and clientAGPL