Smart React Components

Smart React Components is a library for building React applications that work with artificial intelligence. It handles the difficult parts of connecting user interfaces to large language models. Developers only need to provide their own styles and an AI client. The library takes care of complex tasks like managing text delays, stopping old requests, and handling keyboard actions.

Benefits

This tool saves developers time by managing the messy interactions between code and AI. It automatically handles debouncing to prevent too many requests and aborts stale requests when users stop typing. The system also manages ghost text positioning and keyboard handling so users get a smooth experience. It is built on plain fetch calls which means it has no heavy runtime dependencies beyond standard React. The components are headless, meaning they use minimal default HTML and allow developers to customize how elements look and behave. This flexibility lets teams maintain full control over their design while still getting smart AI features.

Use Cases

Teams can use this library to build intelligent text inputs that suggest completions as users type. It works well for creating support reply tools or project naming assistants. The SmartTextbox component provides single-line input with ghost completion features. The SmartTextarea offers multiline support with automatic resizing options. Developers can also build AI-powered dropdowns using the SmartSuggestion component. The SmartRewrite component helps users change text tone or fix grammar with simple presets. This is ideal for applications where users need to interact with AI to generate, edit, or complete text content.

Pricing

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Vibes

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Additional Information

The library is open source and hosted on GitHub. It uses a pnpm workspace structure for development. The project relies on TypeScript, Vite, and Tailwind CSS for its build process. Documentation is hosted on GitHub Pages using Next.js. The team provides several adapters for different AI services including OpenAI and Anthropic. Developers can also create their own custom clients for private backends. The library supports mobile devices with configurable touch targets and keyboard handling. Results are cached locally to improve performance and reduce API calls.