API ServersNode.js HTTP Server

Node.js HTTP Server

You can use the AI SDK in a Node.js HTTP server to generate text and stream it to the client.

Examples

The examples start a simple HTTP server that listens on port 8080. You can e.g. test it using curl:

curl -X POST http://localhost:8080

The examples use the OpenAI gpt-4o model. Ensure that the OpenAI API key is set in the OPENAI_API_KEY environment variable.

Full example: github.com/vercel/ai/examples/node-http-server

Data Stream

You can use the pipeDataStreamToResponse method to pipe the stream data to the server response.

index.ts

import { openai } from '@ai-sdk/openai';
import { streamText } from 'ai';
import { createServer } from 'http';

createServer(async (req, res) => {
  const result = await streamText({
    model: openai('gpt-4o'),
    prompt: 'Invent a new holiday and describe its traditions.',
  });

  result.pipeDataStreamToResponse(res);
}).listen(8080);

Data Stream With Stream Data

pipeDataStreamToResponse can be used with StreamData to send additional data to the client.

index.ts

import { openai } from '@ai-sdk/openai';
import { StreamData, streamText } from 'ai';
import { createServer } from 'http';

createServer(async (req, res) => {
  const data = new StreamData();
  data.append('initialized call');

  const result = await streamText({
    model: openai('gpt-4o'),
    prompt: 'Invent a new holiday and describe its traditions.',
    onFinish() {
      data.append('call completed');
      data.close();
    },
  });

  result.pipeDataStreamToResponse(res, { data });
}).listen(8080);

Text Stream

You can send a text stream to the client using pipeTextStreamToResponse.

index.ts

import { openai } from '@ai-sdk/openai';
import { streamText } from 'ai';
import { createServer } from 'http';

createServer(async (req, res) => {
  const result = await streamText({
    model: openai('gpt-4o'),
    prompt: 'Invent a new holiday and describe its traditions.',
  });

  result.pipeTextStreamToResponse(res);
}).listen(8080);