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Text generation can sometimes take a long time to complete, especially when you're generating a couple of paragraphs. In such cases, it is useful to stream the text generation process to the client in real-time. This allows the client to display the generated text as it is being generated, rather than have users wait for it to complete before displaying the result.
This part of the page is interactive; see it on the original page.
Client
Let's create a simple React component that imports the useCompletion hook from the @ai-sdk/react module. The useCompletion hook will call the /api/completion endpoint when a button is clicked. The endpoint will generate text based on the input prompt and stream it to the client.
'use client';
import { useCompletion } from '@ai-sdk/react';
export default function Page() {
const { completion, complete } = useCompletion({
api: '/api/completion',
});
return (
<div>
<div
onClick={async () => {
await complete('Why is the sky blue?');
}}
>
Generate
</div>
{completion}
</div>
);
}Server
Let's create a route handler for /api/completion that will generate text based on the input prompt. The route will call the streamText function from the ai module, which will then generate text based on the input prompt and stream it to the client.
import {
createUIMessageStreamResponse,
streamText,
toUIMessageStream,
} from 'ai';
export async function POST(req: Request) {
const { prompt }: { prompt: string } = await req.json();
const result = streamText({
model: 'openai/gpt-6-astra',
instructions: 'You are a helpful assistant.',
prompt,
});
return createUIMessageStreamResponse({
stream: toUIMessageStream({ stream: result.stream }),
});
}