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
