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

Aug 1, 2024 • 7 minute read

Hey there, fellow Go enthusiast! Ready to dive into the world of AI with ChatGPT? Let's get cracking on integrating this powerful API into your Go projects using the nifty go-chatgpt package. Buckle up, because we're about to make your code a whole lot smarter!

Prerequisites

Before we jump in, make sure you've got:

Go installed (duh!)
An OpenAI API key (grab one from their website)
Some Go know-how (but you're here, so I'm sure you're good!)

Setting Up the Project

First things first, let's create a new Go module:

mkdir chatgpt-go-integration
cd chatgpt-go-integration
go mod init chatgpt-integration

Now, let's bring in the star of the show:

go get github.com/go-chatgpt/chatgpt

Initializing the ChatGPT Client

Alright, time to get our hands dirty. Open up your favorite editor and create a new file called main.go. Let's start with the basics:

package main

import (
    "fmt"
    "github.com/go-chatgpt/chatgpt"
)

func main() {
    client := chatgpt.NewClient("YOUR_API_KEY_HERE")
    // We'll add more cool stuff here soon!
}

Making a Simple API Call

Let's give our AI friend a little nudge:

func main() {
    client := chatgpt.NewClient("YOUR_API_KEY_HERE")
    
    response, err := client.Send("Tell me a joke about Go programming")
    if err != nil {
        fmt.Printf("Oops! Something went wrong: %v\n", err)
        return
    }
    
    fmt.Println("ChatGPT says:", response)
}

Run this, and voilà! You've just had your first chat with AI.

Advanced Usage

Now, let's kick it up a notch:

func main() {
    client := chatgpt.NewClient("YOUR_API_KEY_HERE")
    
    // Set some context
    client.SetConversationContext("We're having a chat about Go programming")
    
    // Adjust some parameters
    client.SetTemperature(0.7)
    client.SetMaxTokens(100)
    
    // Let's get a streaming response
    stream, err := client.SendStream("Explain concurrency in Go")
    if err != nil {
        fmt.Printf("Uh-oh! Streaming error: %v\n", err)
        return
    }
    
    for response := range stream {
        fmt.Print(response)
    }
}

Cool, right? We've just leveled up our ChatGPT game!

Error Handling and Best Practices

Let's be good developers and handle those pesky errors:

func main() {
    client := chatgpt.NewClient("YOUR_API_KEY_HERE")
    
    maxRetries := 3
    for i := 0; i < maxRetries; i++ {
        response, err := client.Send("What's the meaning of life?")
        if err != nil {
            if chatgpt.IsRateLimitError(err) {
                fmt.Println("Hit the rate limit. Waiting a bit...")
                time.Sleep(time.Second * 5)
                continue
            }
            fmt.Printf("Error: %v\n", err)
            return
        }
        fmt.Println("ChatGPT's wisdom:", response)
        break
    }
}

Always check for errors and implement retries. Your future self will thank you!

Building a Simple CLI Application

Let's wrap it all up in a neat little CLI package:

package main

import (
    "bufio"
    "fmt"
    "os"
    "github.com/go-chatgpt/chatgpt"
)

func main() {
    client := chatgpt.NewClient("YOUR_API_KEY_HERE")
    scanner := bufio.NewScanner(os.Stdin)

    fmt.Println("Welcome to the Go ChatGPT CLI! Type 'quit' to exit.")
    
    for {
        fmt.Print("You: ")
        scanner.Scan()
        input := scanner.Text()
        
        if input == "quit" {
            break
        }
        
        response, err := client.Send(input)
        if err != nil {
            fmt.Printf("Error: %v\n", err)
            continue
        }
        
        fmt.Println("ChatGPT:", response)
    }
    
    fmt.Println("Thanks for chatting!")
}

And there you have it! A fully functional ChatGPT CLI in Go.

Wrapping Up

We've covered a lot of ground here, from basic setup to advanced features and error handling. You're now armed with the knowledge to integrate ChatGPT into your Go projects like a pro!

Remember, this is just the beginning. There's so much more you can do with the ChatGPT API. Why not try building a web interface next? Or maybe integrate it into a Slack bot? The possibilities are endless!

Useful Resources

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