[llm-ui](https://llm-ui.com) code block.
[llm-ui](https://llm-ui.com) markdown block.
Display language model outputs in your React project.
[llm-ui](https://llm-ui.com) JSON blocks for building custom components.
nlux React is a library for building conversational AI interfaces, with support for OpenAI, HuggingFace, and more.
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
Detox driver for Wix Pilot usage
Sidecar code splitting utils
Floating UI for the web
A local development tool for debugging and inspecting AI SDK applications. View LLM requests, responses, tool calls, and multi-step interactions in a web-based UI.
AdiaUI A2UI compose engine — framework-agnostic. Takes natural-language intents + a catalog and produces A2UI protocol messages. Pairs with `@adia-ai/a2ui-retrieval` (intent classification, catalog lookup) and `@adia-ai/a2ui-validator` (schema + semantic
LLM eval & testing toolkit
Positioning library for floating elements: tooltips, popovers, dropdowns, and more
Test your LLM-powered apps with a TypeScript-native, Vitest-based eval runner. No API key required.
AI-powered chat and tool execution for Open Mercato, using MCP (Model Context Protocol) for tool discovery and execution.
General-purpose agent with transport abstraction, state management, and attachment support
[](http://badge.fury.io/js/swagger-ui-dist)
Typescript SDK for Netflix Conductor
micromark extension to support math (`$C_L$`, `\(C_L\)`)
Enforce real-time token budgets and spending limits for OpenAI, Anthropic Claude, and Google Gemini API calls in Node.js
Local AI assistant: 80 tools (Gmail, Calendar, Drive, GitHub, Slack, browser, code, files), 38 agents, visual workflows (Studio, AWF, WebCraft). Install with `npm i -g nothumanallowed`, run with `nha ui`. Free tier built-in (Liara), no API key required. Y
本地统一 LLM 模型代理工具 — 多协议路由、协议互转、流式 SSE 转换、token 统计、协议抓包调试
A library for working with LLMs in Grafana plugins
Much like tests in traditional software, evals are an important part of bringing LLM applications to production. The goal of this package is to help provide a starting point for you to write evals for your LLM applications, from which you can write more c
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