Harnessing GPT-4 in .NET: Expanding Application Capabilities with OpenAI

As artificial intelligence (AI) continues to evolve, developers are constantly seeking new ways to harness its capabilities to build innovative applications. OpenAI’s GPT-4, a powerful AI model with advanced natural language understanding, presents a unique opportunity to create applications that can perform complex tasks. In this post I will explore the integration of GPT-4 within .NET, allowing developers to take full advantage of the AI model’s capabilities.

While .NET provides an extensive range of features and tools to create versatile applications, GPT-4’s natural language understanding can significantly enhance the range of possibilities for developers. By integrating GPT-4, developers can unlock the potential to build applications that excel in areas like linguistic analysis, emotion detection, etc... To demonstrate this, we will dive into a practical example that demonstrates how to build a trivia question moderation service using OpenAI’s API with GPT-4 and .NET. This service will be responsible for approving or rejecting trivia questions based on specific criteria such as spelling, correctness, and profanity to ensuring the quality and appropriateness of the questions.

Using OpenAI to build a question moderation service.

We’ll start by defining a simple interface for our moderation service and the class it returns.

public interface IQuestionModerationService
{
    Task<ModerationResult> ModerateAsync(string question, string answer, CancellationToken cancellationToken = default);
}

public class ModerationResult
{
    public bool IsApproved { get; set; }

    public string RejectionReason { get; set; } = string.Empty;
}

Next we define an interface and implementation which will be used to interact with the OpenAI chat completions api called IOpenAiService and OpenAiService respectively.

public interface IOpenAiService
{
    Task<ChatCompletionsResponse> CreateChatCompletion(
        ChatCompletionsRequest request, 
        CancellationToken cancellationToken = default);
}

public class OpenAiService : IOpenAiService
{
    private readonly HttpClient _httpClient;
    
    private…