ASP.NET Core  

How to Integrate ChatGPT API in ASP.NET Core Application?

Integrating the ChatGPT API into an ASP.NET Core application enables intelligent conversational capabilities, automated content generation, summarization, and AI-driven features inside web or enterprise systems. By connecting your ASP.NET Core Web API to the OpenAI platform, you can build chatbots, virtual assistants, code helpers, or AI-powered business workflows. This guide provides a practical implementation approach with secure configuration and production-ready best practices.

Prerequisites for ChatGPT API Integration

Before integrating the ChatGPT API in ASP.NET Core, ensure you have:

  • An active OpenAI API key

  • A .NET SDK installed

  • An ASP.NET Core Web API project

  • Basic understanding of dependency injection and HTTP client usage

Keep your API key secure and never expose it in frontend applications.

Step 1: Create an ASP.NET Core Web API Project

Create a new project:

dotnet new webapi -n MyAiApp
cd MyAiApp

This will generate a standard ASP.NET Core Web API structure.

Step 2: Store API Key Securely

Add your API key to appsettings.json (development only):

"OpenAI": {
  "ApiKey": "YOUR_API_KEY"
}

For production environments, store the key in:

  • Environment variables

  • Azure Key Vault

  • Secret Manager

Access it via configuration:

var apiKey = builder.Configuration["OpenAI:ApiKey"];

Step 3: Register HttpClient Service

Inside Program.cs, register HttpClient for calling the ChatGPT API:

builder.Services.AddHttpClient("OpenAI", client =>
{
    client.BaseAddress = new Uri("https://api.openai.com/v1/");
    client.DefaultRequestHeaders.Add("Authorization",
        $"Bearer {builder.Configuration["OpenAI:ApiKey"]}");
});

Using IHttpClientFactory improves performance and avoids socket exhaustion.

Step 4: Create Chat Service

Create a service to handle API communication.

public class ChatGptService
{
    private readonly HttpClient _httpClient;

    public ChatGptService(IHttpClientFactory factory)
    {
        _httpClient = factory.CreateClient("OpenAI");
    }

    public async Task<string> GetResponseAsync(string prompt)
    {
        var requestBody = new
        {
            model = "gpt-4o-mini",
            messages = new[]
            {
                new { role = "user", content = prompt }
            }
        };

        var response = await _httpClient.PostAsJsonAsync("chat/completions", requestBody);

        if (!response.IsSuccessStatusCode)
            throw new Exception("Error calling OpenAI API");

        var result = await response.Content.ReadFromJsonAsync<dynamic>();
        return result.choices[0].message.content;
    }
}

Register the service:

builder.Services.AddScoped<ChatGptService>();

Step 5: Create API Controller

Create a controller to expose AI functionality.

[ApiController]
[Route("api/[controller]")]
public class ChatController : ControllerBase
{
    private readonly ChatGptService _service;

    public ChatController(ChatGptService service)
    {
        _service = service;
    }

    [HttpPost]
    public async Task<IActionResult> Ask([FromBody] string prompt)
    {
        var result = await _service.GetResponseAsync(prompt);
        return Ok(new { response = result });
    }
}

Now you can send a POST request with a prompt, and the API will return a ChatGPT-generated response.

Handling Errors and Rate Limits

In production systems:

  • Implement retry policies using Polly

  • Log API failures

  • Handle rate limit responses gracefully

  • Monitor API usage

Proper error handling ensures reliability in enterprise applications.

Securing ChatGPT Integration

Security best practices include:

  • Never expose API key in frontend code

  • Use HTTPS

  • Validate user input before sending to API

  • Implement authentication on your Web API

  • Apply request throttling

These measures prevent abuse and protect sensitive data.

Performance Optimization Tips

For high-traffic systems:

  • Cache frequent responses using Redis

  • Limit maximum token usage

  • Use streaming responses if supported

  • Monitor response time and latency

This ensures scalable AI-powered applications.

Real-World Use Cases in ASP.NET Core Applications

  • Customer support chatbot

  • AI-powered content generator

  • Code review assistant

  • Document summarization tool

  • Intelligent search assistant

ChatGPT integration enables rapid AI feature development without building custom machine learning models.

Summary

Integrating the ChatGPT API into an ASP.NET Core application involves securely storing the API key, configuring HttpClient using IHttpClientFactory, creating a service layer to communicate with the OpenAI endpoint, and exposing AI functionality through a Web API controller. By implementing proper error handling, security best practices, and performance optimization techniques such as caching and rate limiting, developers can build scalable, production-ready, AI-powered .NET applications that enhance user experience and automate intelligent workflows.

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