Build your own artificial intelligence using Node.js and npm with openai.

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In this tutorial, we will learn how to create our own AI using Node.js and openai npm package. We will explore how to set up our development environment, authenticate our project with OpenAI API, and build a simple chatbot that can generate responses based on given input.

Step 1: Set up your development environment

Before we get started, make sure you have Node.js installed on your machine. You can download it from the official website and follow the installation instructions.

After installing Node.js, create a new directory for your project and open a terminal window in that directory. Run the following command to initialize a new Node.js project:

npm init -y

This will create a package.json file in your project directory, which will hold all the dependencies and metadata for your project.

Step 2: Install the OpenAI npm package

Next, we need to install the openai npm package, which will allow us to interface with the OpenAI API. Run the following command in your terminal:

npm install openai

This will add the openai package to your project’s dependencies.

Step 3: Authenticate your project with OpenAI API

To use the OpenAI API, you need to obtain an API key from the OpenAI website. Sign up for a free account and create a new project to generate an API key.

Once you have your API key, create a new file in your project directory called .env and add the following line, replacing YOUR_API_KEY with your actual API key:

OPENAI_API_KEY=YOUR_API_KEY

This will allow your project to authenticate with the OpenAI API using your API key.

Step 4: Build a simple chatbot using Node.js

Now that we have set up our development environment and authenticated our project with the OpenAI API, let’s build a simple chatbot that can generate responses based on user input.

Create a new JavaScript file in your project directory called chatbot.js and add the following code:

require('dotenv').config();
const openai = require('openai');

const api_key = process.env.OPENAI_API_KEY;
const openai_api = new openai(api_key);

const prompt = "What is the meaning of life?";

openai_api.generalChat({
  message: prompt
})
.then(response => {
  console.log(response.data.choices[0].message.content);
})
.catch(error => {
  console.error(error.response.data);
});

In this code, we are requiring the dotenv package to load our environment variables, importing the openai npm package, and creating a new instance of the OpenAI API client using our API key.

We then define a prompt that the chatbot will use to generate a response and call the generalChat method of the openai_api client with the prompt as an argument.

Finally, we log the generated response to the console.

To run the chatbot, execute the chatbot.js file in your terminal:

node chatbot.js

You should see the generated response based on the prompt "What is the meaning of life?" printed to the console.

Congratulations! You have successfully created your own AI using Node.js and the openai npm package. Feel free to experiment with different prompts and build more complex chatbots using the OpenAI API.

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@NativeNotify
28 days ago

This is a link to a more up to date tutorial on how to use the OpenAI API to create your own ChatGPT bot: https://youtu.be/91VVM6MNVlk

@NativeNotify
28 days ago

OpenAI updated their npm package a bit since it first came out. You should now write your completion requests like this:

const completion = await openai.createCompletion({
model: "gpt-3.5-turbo",
prompt: "Hello world",
});

You can replace the model string with gpt-4 and it should work once you have access to GPT-4. I think GPT-4 only works with the new createCompletion method.

You can learn more here: https://www.npmjs.com/package/openai

@InteliDey
28 days ago

Hi. Thanks for the post but you are not using gpt-4 model. You are using text-davinci-002, which is not the same model (just to clarify). The reason I mention this is because "gpt-4" model does not work with openai.Completion.create() call.

@zachisparanoid
28 days ago

can we get the code to copy/paste or a github repo?

@mauriciolavin
28 days ago

thank you! great content