AI
ChatGeneration Chat Completion

Generate Chat Completion

Previously, we were able to generate text and objects using either a single message prompt, a system prompt, or a combination of both of them. However, there may be times when you want to generate text based on a series of messages.

A chat completion allows you to generate text based on a series of messages. This series of messages can be any series of interactions between any number systems, but the most popular and relatable use case has been a series of messages that represent a conversation between a user and a model.

http://localhost:3000
User: How is it going?
Assistant: All good, how may I help you?
Why is the sky blue?
Send Message

Client

Let's create a simple conversation between a user and a model, and place a button that will call continueConversation.

app/page.tsx
'use client';


import { useState } from 'react';
import { Message, continueConversation } from './actions';


// Allow streaming responses up to 30 seconds
export const maxDuration = 30;


export default function Home() {
  const [conversation, setConversation] = useState<Message[]>([]);
  const [input, setInput] = useState<string>('');


  return (
    <div>
      <div>
        {conversation.map((message, index) => (
          <div key={index}>
            {message.role}: {message.content}
          </div>
        ))}
      </div>


      <div>
        <input
          type="text"
          value={input}
          onChange={event => {
            setInput(event.target.value);
          }}
        />
        <button
          onClick={async () => {
            const { messages } = await continueConversation([
              ...conversation,
              { role: 'user', content: input },
            ]);


            setConversation(messages);
          }}
        >
          Send Message
        </button>
      </div>
    </div>
  );
}

Server

Now, let's implement the continueConversation function that will insert the user's message into the conversation and generate a response.

app/actions.ts
'use server';


import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';


export interface Message {
  role: 'user' | 'assistant';
  content: string;
}


export async function continueConversation(history: Message[]) {
  'use server';


  const { text } = await generateText({
    model: openai('gpt-3.5-turbo'),
    system: 'You are a friendly assistant!',
    messages: history,
  });


  return {
    messages: [
      ...history,
      {
        role: 'assistant' as const,
        content: text,
      },
    ],
  };
}