go-openai

Overview of Go-OpenAI

Go-OpenAI is an unofficial Go language client library designed to interact seamlessly with the OpenAI API. This library enables developers to leverage cutting-edge AI models from OpenAI, such as ChatGPT versions 4 and 3, DALL·E, and Whisper, directly within their Go applications. By integrating these models, developers can create sophisticated applications ranging from chat interfaces and text completion to image generation and audio processing.

Features Supported by Go-OpenAI

1. ChatGPT: Supports various versions including ChatGPT-4o and 4n. This feature enables the development of conversational agents and chatbots that can engage in natural language dialogues.

2. GPT-3 and GPT-4: Allows use for text-based applications such as writing assistance, content generation, and language translation.

3. DALL·E 2 and DALL·E 3: Facilitates image generation from textual descriptions. Suitable for applications needing creative visual content.

4. Whisper: Provides audio transcription capabilities, converting spoken language into text, useful for voice-controlled applications or subtitling.

Installation

To integrate Go-OpenAI into a Go project, one can install the library using the following command, ensuring that Go version 1.18 or greater is installed:

go get github.com/sashabaranov/go-openai

Key Usage Examples

ChatGPT Integration

Go-OpenAI allows developers to integrate ChatGPT into their applications with straightforward Go code. Here's a basic usage example that demonstrates a simple chat session:

package main

import (
	"context"
	"fmt"
	openai "github.com/sashabaranov/go-openai"
)

func main() {
	client := openai.NewClient("your API token")
	resp, err := client.CreateChatCompletion(
		context.Background(),
		openai.ChatCompletionRequest{
			Model: openai.GPT3Dot5Turbo,
			Messages: []openai.ChatCompletionMessage{
				{Role: openai.ChatMessageRoleUser, Content: "Hello!"},
			},
		},
	)

	if err != nil {
		fmt.Printf("ChatCompletion error: %v\n", err)
		return
	}

	fmt.Println(resp.Choices[0].Message.Content)
}

API Key Acquisition

To use Go-OpenAI, an API key from OpenAI is essential. Users can obtain a key by following these steps:

1. Go to the OpenAI API key management page.
2. Log in or sign up for an OpenAI account.
3. Create a new API key under the account settings.
4. Keep this key secure, as it is critical for API access and billing purposes.

Example Applications

• Streaming Completion: Can handle longer sessions with dynamic user interactions, enabling real-time content generation.
• Image Generation: Using DALL·E models, developers can request images based on unique textual descriptions, manipulating visual outputs via code.
• Speech-to-Text: Whisper model integration enables transcription services, supporting features like audio-to-text file conversion.

Proxy Configuration

A proxy server configuration can be setup if needed for network preferences:

config := openai.DefaultConfig("token")
proxyUrl, err := url.Parse("http://localhost:{port}")
if err != nil {
	panic(err)
}
transport := &http.Transport{
	Proxy: http.ProxyURL(proxyUrl),
}
config.HTTPClient = &http.Client{
	Transport: transport,
}

c := openai.NewClientWithConfig(config)

Error Handling

The library provides a structured approach to error handling in line with OpenAI's guidelines. It enables developers to gracefully manage API errors such as authentication failures, rate limits, and service disruptions.

Conclusion

Go-OpenAI is a powerful tool that brings OpenAI's transformative AI capabilities into the Go programming world. It simplifies the integration of advanced AI models into applications, thereby enhancing functionality across various industries from customer service to content creation. With its broad support for text, image, and audio processing, Go-OpenAI opens up numerous possibilities for innovative applications.