Installation

Prerequisites

Our blocks examples are built using the Vercel AI SDK, which provides powerful utilities for building AI-powered user interfaces. The examples use:

• useChat hook for client-side chat state management
• streamText for server-side streaming responses
• OpenAI's GPT-4 model through the @ai-sdk/openai provider

Client-Side Usage

import { useChat } from 'ai/react'
 
export function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat({
    api: '/api/chat'
  })
  
  return (
    // Your chat UI components
  )
}

Server-Side Implementation

import { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
 
export async function POST(req: Request) {
  const { messages } = await req.json();
  
  const result = streamText({
    model: openai("gpt-4-mini"),
    messages,
  });
 
  return result.toDataStreamResponse();
}

Environment Setup

To use the OpenAI provider in our examples, you'll need an OpenAI API key. Create a .env file in your project root and add:

OPENAI_API_KEY=your_api_key_here

For more information about:

• useChat, see the Vercel AI SDK Chat Documentation
• streamText, see the Vercel AI SDK Text Streaming Documentation
• OpenAI provider setup, see the OpenAI Provider Documentation