---
title: Stream OpenAI API Responses
description: Use the OpenAI v4 SDK to stream responses from OpenAI.
image: https://edgetunnel-b2h.pages.dev/dev-products-preview.png
---

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# Stream OpenAI API Responses

Use the OpenAI v4 SDK to stream responses from OpenAI.

If you want to get started quickly, click on the button below.

[![Deploy to Cloudflare](https://deploy.workers.cloudflare.com/button)](https://deploy.workers.cloudflare.com/?url=https://github.com/cloudflare/docs-examples/tree/main/workers/openai-sdk-streaming)

This creates a repository in your GitHub account and deploys the application to Cloudflare Workers.

In order to run this code, you must install the OpenAI SDK by running `npm i openai`.

Note

For analytics, caching, rate limiting, and more, you can also send requests like this through Cloudflare's [AI Gateway](https://edgetunnel-b2h.pages.dev/ai-gateway/usage/providers/openai/).

* [  TypeScript ](#tab-panel-12571)
* [  Hono ](#tab-panel-12572)

**TypeScript**

```ts
import OpenAI from "openai";


export default {
  async fetch(request, env, ctx): Promise<Response> {
    const openai = new OpenAI({
      apiKey: env.OPENAI_API_KEY,
    });


    // Create a TransformStream to handle streaming data
    let { readable, writable } = new TransformStream();
    let writer = writable.getWriter();
    const textEncoder = new TextEncoder();


    ctx.waitUntil(
      (async () => {
        const stream = await openai.chat.completions.create({
          model: "gpt-4o-mini",
          messages: [{ role: "user", content: "Tell me a story" }],
          stream: true,
        });


        // loop over the data as it is streamed and write to the writeable
        for await (const part of stream) {
          writer.write(
            textEncoder.encode(part.choices[0]?.delta?.content || ""),
          );
        }
        writer.close();
      })(),
    );


    // Send the readable back to the browser
    return new Response(readable);
  },
} satisfies ExportedHandler<Env>;
```

**TypeScript**

```ts
import { Hono } from "hono";
import { streamText } from "hono/streaming";
import OpenAI from "openai";


interface Env {
  OPENAI_API_KEY: string;
}


const app = new Hono<{ Bindings: Env }>();


app.get("*", async (c) => {
  const openai = new OpenAI({
    apiKey: c.env.OPENAI_API_KEY,
  });


  const chatStream = await openai.chat.completions.create({
    model: "gpt-4o-mini",
    messages: [{ role: "user", content: "Tell me a story" }],
    stream: true,
  });


  return streamText(c, async (stream) => {
    for await (const message of chatStream) {
      await stream.write(message.choices[0].delta.content || "");
    }
    stream.close();
  });
});


export default app;
```

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