---
title: Stream OpenAI API Responses
description: Use the OpenAI v4 SDK to stream responses from OpenAI.
image: https://developers.cloudflare.com/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://developers.cloudflare.com/ai-gateway/usage/providers/openai/).

* [  TypeScript ](#tab-panel-12030)
* [  Hono ](#tab-panel-12031)

TypeScript

```
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

```
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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