ai-sdk-next-openai/app/use-chat-direct-transport/page.tsx
2025-09-26 15:46:29 +00:00

76 lines
2.2 KiB
TypeScript

'use client';
import { UIMessage, useChat } from '@ai-sdk/react';
import ChatInput from '@/component/chat-input';
import { ChatTransport, convertToModelMessages, streamText } from 'ai';
import { createOpenAI } from '@ai-sdk/openai';
// Note: this needs a client-side OpenAI API key to work.
// DO NOT USE THIS IN ENVIRONMENTS WHERE THE API KEY IS CONFIDENTIAL.
const openai = createOpenAI({
apiKey: process.env.NEXT_PUBLIC_OPENAI_API_KEY,
});
export default function Chat() {
const { error, status, sendMessage, messages, regenerate, stop } = useChat({
transport: {
sendMessages: async ({ messages, abortSignal }) => {
const result = streamText({
model: openai('gpt-4o'),
messages: convertToModelMessages(messages),
abortSignal,
});
return result.toUIMessageStream();
},
reconnectToStream: async ({ chatId }) => {
throw new Error('Not implemented');
},
} satisfies ChatTransport<UIMessage>,
});
return (
<div className="flex flex-col py-24 mx-auto w-full max-w-md stretch">
{messages.map(m => (
<div key={m.id} className="whitespace-pre-wrap">
{m.role === 'user' ? 'User: ' : 'AI: '}
{m.parts.map(part => {
if (part.type === 'text') {
return part.text;
}
})}
</div>
))}
{(status === 'submitted' || status === 'streaming') && (
<div className="mt-4 text-gray-500">
{status === 'submitted' && <div>Loading...</div>}
<button
type="button"
className="px-4 py-2 mt-4 text-blue-500 rounded-md border border-blue-500"
onClick={stop}
>
Stop
</button>
</div>
)}
{error && (
<div className="mt-4">
<div className="text-red-500">An error occurred.</div>
<button
type="button"
className="px-4 py-2 mt-4 text-blue-500 rounded-md border border-blue-500"
onClick={() => regenerate()}
>
Retry
</button>
</div>
)}
<ChatInput status={status} onSubmit={text => sendMessage({ text })} />
</div>
);
}