Step by Step Guide to Building a ChatGPT API Integration in JS

Introduction

Hey there, fellow code wranglers! Ready to dive into the world of AI-powered conversations? You're in the right place. We're about to embark on a journey to integrate the ChatGPT API into your JavaScript projects using the nifty chatgpt package. Buckle up!

Prerequisites

Before we hit the ground running, make sure you've got:

• Node.js and npm (you're a pro, so I'm sure you've got this covered)
• An OpenAI API key (if you don't have one, hop over to OpenAI and grab it)

Setting up the project

Let's get this show on the road:

mkdir chatgpt-integration
cd chatgpt-integration
npm init -y
npm install chatgpt

Boom! You're all set.

Configuring the ChatGPT client

Time to bring in the big guns:

import { ChatGPTAPI } from 'chatgpt'

const api = new ChatGPTAPI({
  apiKey: process.env.OPENAI_API_KEY
})

Pro tip: Keep that API key safe in an environment variable. No one likes a leaked key!

Making API calls

Let's chat it up:

async function chatWithGPT(message) {
  const response = await api.sendMessage(message)
  console.log(response.text)
}

chatWithGPT("What's the meaning of life?")

Easy peasy, right? ChatGPT might not have all the answers, but it'll sure try!

Advanced usage

Conversation context

Want to keep the conversation flowing? Here's how:

const conversation = api.getConversation()

await conversation.sendMessage("Hi there!")
await conversation.sendMessage("What was my first message?")

Streaming responses

For that real-time feel:

const response = await api.sendMessage('Tell me a long story', {
  onProgress: (partialResponse) => console.log(partialResponse.text)
})

Error handling

Always be prepared:

try {
  const response = await api.sendMessage('Hello, ChatGPT!')
} catch (error) {
  console.error('Oops! Something went wrong:', error)
}

Best practices

• Respect rate limits: OpenAI's got 'em, so should you.
• Craft your prompts wisely: Garbage in, garbage out!

Example application

Let's put it all together with a simple chatbot:

import readline from 'readline'
import { ChatGPTAPI } from 'chatgpt'

const api = new ChatGPTAPI({ apiKey: process.env.OPENAI_API_KEY })

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout
})

async function chat() {
  const conversation = api.getConversation()

  console.log("Chat with GPT! (Type 'exit' to quit)")

  const askQuestion = () => {
    rl.question('You: ', async (input) => {
      if (input.toLowerCase() === 'exit') {
        rl.close()
        return
      }

      try {
        const response = await conversation.sendMessage(input)
        console.log('ChatGPT:', response.text)
      } catch (error) {
        console.error('Error:', error)
      }

      askQuestion()
    })
  }

  askQuestion()
}

chat()

Conclusion

And there you have it! You're now armed and dangerous with ChatGPT integration skills. Remember, with great power comes great responsibility (and possibly some hilarious AI conversations).

Troubleshooting

Hit a snag? Here are some common hiccups:

• API key issues: Double-check it's set correctly
• Rate limiting: Slow down, speed racer!
• Unexpected responses: Refine those prompts

Now go forth and create some AI magic! Happy coding!