diff --git a/src/content/docs/workers/examples/openai-sdk-streaming.mdx b/src/content/docs/workers/examples/openai-sdk-streaming.mdx
index 092255024743c2b..c9c416a30fe5fc7 100644
--- a/src/content/docs/workers/examples/openai-sdk-streaming.mdx
+++ b/src/content/docs/workers/examples/openai-sdk-streaming.mdx
@@ -12,49 +12,50 @@ sidebar:
   order: 1001
 head: []
 description: Use the OpenAI v4 SDK to stream responses from OpenAI.
-
 ---
 
 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](/ai-gateway/providers/openai/).
 
-
 :::
 
 ```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);
- },
+	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>;
 ```