Custom AI Service Integration with ASP.NET Core Smart TextArea

16 Dec 20252 minutes to read

The Syncfusion ASP.NET Core Smart TextArea control leverages AI to provide context-aware autocompletion, typically using OpenAI or Azure OpenAI services. Developers can integrate custom AI services using the IChatInferenceService interface, which standardizes communication between the Smart TextArea and third-party AI providers. This section explains how to implement and register a custom AI service for the Smart TextArea.

IChatInferenceService Interface

The IChatInferenceService interface defines a contract for integrating custom AI services with Syncfusion Smart Controls. It enables the Smart TextArea to request and receive AI-generated responses.

public interface IChatInferenceService
{
    Task<string> GenerateResponseAsync(ChatParameters options);
}

• Purpose: Standardizes communication for AI-generated responses.
• Parameters: The ChatParameters type includes properties like user input and context.
• Benefits: Enables seamless switching between AI providers without modifying component code.

Simple Implementation of a Custom AI Service

Below is a sample implementation of a mock AI service named MockAIService. This service demonstrates how to implement the IChatInferenceService interface by returning sample, context-aware responses. You can replace the logic with your own AI integration.

using Syncfusion.EJ2.AI;
using System.Threading.Tasks;

public class MockAIService : IChatInferenceService
{
    public Task<string> GenerateResponseAsync(ChatParameters options)
    {

    }
}

Registering the Custom AI Service

Register the custom AI service in the ~/Program.cs file of your ASP.NET Core Application:

using Syncfusion.EJ2;
using Syncfusion.EJ2.AI;

builder.Services.AddRazorPages();
builder.Services.AddSyncfusionSmartComponents();
builder.Services.AddSingleton<IChatInferenceService, MockAIService>();

var app = builder.Build();
// ...

Implemented AI Services

Here are examples of AI services integrated using the IChatInferenceService interface:

Service	Documentation
Claude	Claude Integration
DeepSeek	DeepSeek Integration
Groq	Groq Integration
Gemini	Gemini Integration

Troubleshooting

If the custom AI service does not work as expected, try the following:

• No Suggestions Displayed: Ensure the IChatInferenceService implementation is registered in Program.cs and returns valid responses. Check for errors in the GenerateResponseAsync method.
• Dependency Issues: Verify that all required NuGet packages are installed. Run dotnet restore to resolve dependencies.
• Incorrect Responses: Debug the custom AI service implementation to ensure it processes ChatParameters correctly and returns expected responses.