diff --git a/examples/How_to_build_an_agent_with_the_node_sdk.mdx b/examples/How_to_build_an_agent_with_the_node_sdk.mdx
index 003627951d..05eedf9b38 100644
--- a/examples/How_to_build_an_agent_with_the_node_sdk.mdx
+++ b/examples/How_to_build_an_agent_with_the_node_sdk.mdx
@@ -363,3 +363,118 @@ arguments. This is data it got back from the first function call we did.
 You've now built an AI agent using OpenAI functions and the Node.js SDK! If you're looking for an extra challenge, consider enhancing this app. For example, you could add a function that fetches up-to-date information on events and activities in the user's location.
 
 Happy coding!
+
+<details>
+<summary>Complete code</summary>
+
+```js
+import OpenAI from "openai";
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+  dangerouslyAllowBrowser: true,
+});
+
+async function getLocation() {
+  const response = await fetch("https://ipapi.co/json/");
+  const locationData = await response.json();
+  return locationData;
+}
+
+async function getCurrentWeather(latitude, longitude) {
+  const url = `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&hourly=apparent_temperature`;
+  const response = await fetch(url);
+  const weatherData = await response.json();
+  return weatherData;
+}
+
+const functionDefinitions = [
+  {
+    name: "getCurrentWeather",
+    description:
+      "Get the current weather in a given location given in latitude and longitude",
+    parameters: {
+      type: "object",
+      properties: {
+        latitude: {
+          type: "string",
+        },
+        longitude: {
+          type: "string",
+        },
+      },
+      required: ["longitude", "latitude"],
+    },
+  },
+  {
+    name: "getLocation",
+    description: "Get the user's location based on their IP address",
+    parameters: {
+      type: "object",
+      properties: {},
+    },
+  },
+];
+
+const availableFunctions = {
+  getCurrentWeather,
+  getLocation,
+};
+
+const messages = [
+  {
+    role: "system",
+    content: `You are a helpful assistant. Only use the functions you have been provided with.`,
+  },
+];
+
+async function agent(userInput) {
+  messages.push({
+    role: "user",
+    content: userInput,
+  });
+
+  for (let i = 0; i < 5; i++) {
+    const response = await openai.chat.completions.create({
+      model: "gpt-4",
+      messages: messages,
+      functions: functionDefinitions,
+    });
+
+    const { finish_reason, message } = response.choices[0];
+
+    if (finish_reason === "function_call") {
+      const functionName = message.function_call.name;
+      const functionToCall = availableFunctions[functionName];
+      const functionArgs = JSON.parse(message.function_call.arguments);
+      const functionArgsArr = Object.values(functionArgs);
+      const functionResponse = await functionToCall.apply(
+        null,
+        functionArgsArr
+      );
+
+      messages.push({
+        role: "function",
+        name: functionName,
+        content: `
+                The result of the last function was this: ${JSON.stringify(
+                  functionResponse
+                )}
+                `,
+      });
+    } else if (finish_reason === "stop") {
+      messages.push(message);
+      return message.content;
+    }
+  }
+  return "The maximum number of iterations has been met without a suitable answer. Please try again with a more specific input.";
+}
+
+const response = await agent(
+  "Please suggest some activities based on my location and the weather."
+);
+
+console.log("response:", response);
+```
+
+</details>