Ultimate Guide: Function Calling with Vercel’s AI SDK RSC & NextJS 14 скачать в хорошем качестве

Ultimate Guide: Function Calling with Vercel’s AI SDK RSC & NextJS 14

Join me in this comprehensive tutorial where I guide you through building a powerful crypto chatbot and stats interface with NextJS using Vercel’s AI SDK RSC package. This allows you to stream generative user interfaces to the browser using React Server Components & Server Actions. I guide you through everything from setting up your environment, installing and configuring tools like TypeScript and Tailwind, and implementing code formatting with BiomeJS. You’ll learn how to handle API keys, manage environment variables, and stream various UI components for a truly unique user experience. We incorporate tool calling in our AI integration which gives the LLM the ability to decide when and how to call custom functions based on certain conditions, inputs, or data. We then fetch real-time data using Binance and CoinMarketCap APIs to show cryptocurrency prices and stats. We also explore handling data formatting, loading states with skeleton components, and troubleshooting common errors.  This is perfect for developers looking to sharpen their skills in full stack AI development by leveraging awesome tools created by Vercel, NextJS and V0.dev. Read this article to understand why I think these some of the coolest tools in web development currently: https://sdk.vercel.ai/docs/ai-sdk-rsc... 🔑 Key Resources: Vercel AI SDK RSC: https://sdk.vercel.ai/docs/ai-sdk-rsc... V0.dev: https://v0.dev/ NextJS App Router: https://nextjs.org/docs/app Create Next App: https://nextjs.org/docs/app/api-refer... BiomeJS: https://biomejs.dev/ Bun JS Runtime: https://bun.sh/ OpenAI API: https://platform.openai.com/ 👨🏻‍💻 Source Code: https://github.com/taylor-lindores-re... 📖 Chapters: 00:00 Introduction to AI SDK React Server Components 01:04 Demonstration: Cryptocurrency Price Queries 03:20 Setting Up the Development Environment 05:11 Installing and Configuring BiomeJS 06:17 Integrating ShadCN UI Components 09:31 Setting Up Environment Variables 19:57 Building the Chat Interface 38:36 Creating Custom Hooks for Chat Functionality 47:04 Implementing Form Handling with React Hook Form 51:50 Styling the Chat Component 01:04:31 Handling User Messages and Responses 01:24:39 Setting Up the OpenAI Model 01:26:10 Configuring Initial Bot State 01:27:21 Handling LLM Responses 01:28:55 Implementing Tool Functions 01:33:45 Creating Generator Functions 01:42:33 Fetching Cryptocurrency Data 01:48:48 Building the UI Components 01:52:15 Integrating API Keys 01:54:39 Debugging and Testing 02:14:45 Finalising the Project 02:38:26 Conclusion and Feedback