Step by Step Guide to Building an Azure OpenAI Service API Integration in Go

Introduction

Hey there, fellow Go developer! Ready to supercharge your applications with some AI goodness? You're in the right place. We're about to dive into integrating Azure OpenAI Service into your Go projects using the nifty azopenai package. Buckle up!

Prerequisites

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

• Go installed (I know, obvious, right?)
• An Azure subscription (if you don't have one, now's the time!)
• An Azure OpenAI Service resource set up and ready to roll

Setting up the project

Let's get this show on the road:

mkdir azure-openai-go
cd azure-openai-go
go mod init azure-openai-go
go get github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai

Boom! You're all set up.

Authentication

Time to get your keys:

1. Head to your Azure OpenAI resource in the Azure portal
2. Grab your API key and endpoint
3. Set them as environment variables:

export AZURE_OPENAI_KEY=your_api_key_here
export AZURE_OPENAI_ENDPOINT=your_endpoint_here

Pro tip: Add these to your .bashrc or .zshrc to avoid typing them every time.

Initializing the client

Let's write some Go! Create a main.go file and add this:

package main

import (
    "github.com/Azure/azure-sdk-for-go/sdk/ai/azopenai"
    "os"
)

func main() {
    client, err := azopenai.NewClient(os.Getenv("AZURE_OPENAI_ENDPOINT"), os.Getenv("AZURE_OPENAI_KEY"), nil)
    if err != nil {
        panic(err)
    }
    // We'll use this client later
}

Making API calls

Now for the fun part! Let's generate some text:

func main() {
    // ... client initialization code ...

    resp, err := client.GetCompletions(context.Background(), azopenai.CompletionsOptions{
        Prompt:      []string{"Write a haiku about coding in Go"},
        MaxTokens:   100,
        Temperature: 0.7,
    }, nil)
    if err != nil {
        panic(err)
    }

    fmt.Println(resp.Choices[0].Text)
}

Run it and watch the magic happen!

Error handling and best practices

Always check for errors (you're doing great so far!). Also, keep an eye on those rate limits. Azure OpenAI Service has quotas, so be nice and don't spam requests.

Example use case

Let's build a simple chatbot:

func chatbot() {
    client, _ := azopenai.NewClient(os.Getenv("AZURE_OPENAI_ENDPOINT"), os.Getenv("AZURE_OPENAI_KEY"), nil)

    for {
        fmt.Print("You: ")
        input, _ := bufio.NewReader(os.Stdin).ReadString('\n')
        
        resp, err := client.GetChatCompletions(context.Background(), azopenai.ChatCompletionsOptions{
            Messages: []azopenai.ChatMessage{
                {Role: azopenai.ChatRoleUser, Content: input},
            },
            MaxTokens: 100,
        }, nil)
        if err != nil {
            fmt.Println("Error:", err)
            continue
        }

        fmt.Println("Bot:", resp.Choices[0].Message.Content)
    }
}

Testing

Don't forget to test! Here's a quick example:

func TestGetCompletions(t *testing.T) {
    client, _ := azopenai.NewClient(os.Getenv("AZURE_OPENAI_ENDPOINT"), os.Getenv("AZURE_OPENAI_KEY"), nil)

    resp, err := client.GetCompletions(context.Background(), azopenai.CompletionsOptions{
        Prompt:    []string{"Hello"},
        MaxTokens: 5,
    }, nil)

    assert.NoError(t, err)
    assert.NotEmpty(t, resp.Choices[0].Text)
}

Conclusion

And there you have it! You've just built an Azure OpenAI Service integration in Go. Pretty cool, right? Remember, this is just scratching the surface. There's so much more you can do with this powerful API.

For more info, check out the Azure OpenAI Service docs and the azopenai package documentation.

Now go forth and build some awesome AI-powered Go applications! The sky's the limit. Happy coding!