DeepSeek AI Integration with Blazor Smart Paste Button

2 Jun 202611 minutes to read

The Syncfusion Blazor SmartPaste Button component enables AI-powered, context-aware content pasting into forms, typically using OpenAI or Azure OpenAI. This guide explains how to integrate the DeepSeek AI service with the Smart Paste Button using the IChatInferenceService interface, enabling custom AI-driven responses in a Blazor Web App.

Setting Up DeepSeek

1. Obtain a DeepSeek API Key
   Create an account at DeepSeek Platform, sign in, and navigate to API Keys to generate an API key.
2. Review Model Specifications
   Refer to DeepSeek Models Documentation for details on available models (e.g., deepseek-chat).

Create a DeepSeek AI Service

Create a service class to manage interactions with the DeepSeek API, including authentication and response processing for the Smart Paste Button.

1. Create a Services folder in your project.
2. Add a new file named DeepSeekAIService.cs in the Services folder.
3. Implement the service as shown below, storing the API key securely in a configuration file or environment variable (e.g., appsettings.json).

DeepSeekAIService.cs

using System.Net;
using System.Text;
using System.Text.Json;
using Microsoft.Extensions.AI;

public class DeepSeekAIService
{
    private readonly string _apiKey;
    private readonly string _modelName = "deepseek-chat"; // Example model
    private readonly string _endpoint = "https://api.deepseek.com/chat/completions";
    private static readonly HttpClient HttpClient = new(new SocketsHttpHandler
    {
        PooledConnectionLifetime = TimeSpan.FromMinutes(30),
        EnableMultipleHttp2Connections = true
    })
    {
        DefaultRequestVersion = HttpVersion.Version20 // Fallback to HTTP/2 for compatibility
    };
    private static readonly JsonSerializerOptions JsonOptions = new()
    {
        PropertyNamingPolicy = JsonNamingPolicy.CamelCase
    };

    public DeepSeekAIService(IConfiguration configuration)
    {
        _apiKey = configuration["DeepSeek:ApiKey"] ?? throw new ArgumentNullException("DeepSeek API key is missing.");
        if (!HttpClient.DefaultRequestHeaders.Contains("Authorization"))
        {
            HttpClient.DefaultRequestHeaders.Clear();
            HttpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {_apiKey}");
        }
    }

    public async Task<string> CompleteAsync(IList<ChatMessage> chatMessages)
    {
        var requestBody = new DeepSeekChatRequest
        {
            Model = _modelName,
            Temperature = 0.7f, // Controls response randomness (0.0 to 1.0)
            Messages = chatMessages.Select(m => new DeepSeekMessage
            {
                Role = m.Role == ChatRole.User ? "user" : "system", // Align with DeepSeek API roles
                Content = m.Text
            }).ToList()
        };

        var content = new StringContent(JsonSerializer.Serialize(requestBody, JsonOptions), Encoding.UTF8, "application/json");

        try
        {
            var response = await HttpClient.PostAsync(_endpoint, content);
            response.EnsureSuccessStatusCode();
            var responseString = await response.Content.ReadAsStringAsync();
            var responseObject = JsonSerializer.Deserialize<DeepSeekChatResponse>(responseString, JsonOptions);
            return responseObject?.Choices?.FirstOrDefault()?.Message?.Content ?? "No response from DeepSeek.";
        }
        catch (Exception ex) when (ex is HttpRequestException || ex is JsonException)
        {
            throw new InvalidOperationException("Failed to communicate with DeepSeek API.", ex);
        }
    }
}

NOTE

Store the DeepSeek API key in appsettings.json (e.g., { "DeepSeek": { "ApiKey": "your-api-key" } }) or as an environment variable to ensure security.

Define Request and Response Models

Define C# classes to match the DeepSeek API’s JSON request and response format.

1. Create a new file named DeepSeekModels.cs in the Services folder.
2. Add the following model classes:

DeepSeekModels.cs

public class DeepSeekMessage
{
    public string Role { get; set; }
    public string Content { get; set; }
}

public class DeepSeekChatRequest
{
    public string Model { get; set; }
    public float Temperature { get; set; }
    public List<DeepSeekMessage> Messages { get; set; }
}

public class DeepSeekChatResponse
{
    public List<DeepSeekChoice> Choices { get; set; }
}

public class DeepSeekChoice
{
    public DeepSeekMessage Message { get; set; }
}

Create a Custom AI Service

Implement the IChatInferenceService interface to connect the Smart Paste Button to the DeepSeek service, acting as a bridge for AI-generated responses.

1. Create a new file named DeepSeekInferenceService.cs in the Services folder.
2. Add the following implementation:

DeepSeekInferenceService.cs

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

public class DeepSeekInferenceService : IChatInferenceService
{
    private readonly DeepSeekAIService _deepSeekService;

    public DeepSeekInferenceService(DeepSeekAIService deepSeekService)
    {
        _deepSeekService = deepSeekService;
    }

    public async Task<string> GenerateResponseAsync(ChatParameters options)
    {
        return await _deepSeekService.CompleteAsync(options.Messages);
    }
}

Configure the Blazor App

Register the DeepSeek service and IChatInferenceService implementation in the dependency injection container.

Update the ~/Program.cs file as follows:

~/Program.cs

using Microsoft.AspNetCore.Components;
using Microsoft.AspNetCore.Components.Web;
using Syncfusion.Blazor;
using Syncfusion.Blazor.AI;

var builder = WebApplication.CreateBuilder(args);
....

builder.Services.AddSyncfusionBlazor();
builder.Services.AddSyncfusionSmartComponents();
builder.Services.AddSingleton<DeepSeekAIService>();
builder.Services.AddSingleton<IChatInferenceService, DeepSeekInferenceService>();

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

Add the Smart Paste Button

Add the Smart Paste Button to a form in the ~/Pages/Home.razor file to test the Groq AI integration.

~/Pages/Home.razor

@using Syncfusion.Blazor.DataForm
@using Syncfusion.Blazor.SmartComponents
@using System.ComponentModel.DataAnnotations

<SfDataForm ID="MyForm" Model="@EventRegistrationModel">
    <FormValidator>
        <DataAnnotationsValidator></DataAnnotationsValidator>
    </FormValidator>
    <FormItems>
        <FormItem Field="@nameof(EventRegistration.Name)" ID="firstname"></FormItem>
        <FormItem Field="@nameof(EventRegistration.Email)" ID="email"></FormItem>
        <FormItem Field="@nameof(EventRegistration.Phone)" ID="phonenumber"></FormItem>
        <FormItem Field="@nameof(EventRegistration.Address)" ID="address"></FormItem>
    </FormItems>
    <FormButtons>
        <SfSmartPasteButton IsPrimary="true" Content="Smart Paste" IconCss="e-icons e-paste"></SfSmartPasteButton>
    </FormButtons>
</SfDataForm>

<br>
<h4 style="text-align:center;">Sample Content</h4>
<div>
    Hi, my name is Jane Smith. You can reach me at [e-mail] or call me at [phone]. I live at 789 Pine Avenue, Suite 12, Los Angeles, CA 90001.
</div>

@code {
    private EventRegistration EventRegistrationModel = new();

    public class EventRegistration
    {
        [Required(ErrorMessage = "Please enter your name.")]
        [Display(Name = "Name")]
        public string Name { get; set; }

        [Required(ErrorMessage = "Please enter your email address.")]
        [Display(Name = "Email ID")]
        public string Email { get; set; }

        [Required(ErrorMessage = "Please enter your mobile number.")]
        [Display(Name = "Phone Number")]
        public string Phone { get; set; }

        [Required(ErrorMessage = "Please enter your address.")]
        [Display(Name = "Address")]
        public string Address { get; set; }
    }
}

NOTE

Ensure the Syncfusion Blazor DataForm package is installed for form integration.

Testing the Integration

1. Configure the Blazor Web App with the Groq AI service and Smart Paste Button as described above.
2. Add the code to ~/Pages/Home.razor, Program.cs, and the Services folder.
3. Run the application using Ctrl+F5 (Windows) or ⌘+F5 (macOS).
4. Copy the sample content provided in the Razor file.
5. Click the Smart Paste button to verify that the form fields are populated correctly using the Groq AI service.

NOTE

View Sample in GitHub.

Troubleshooting

If the DeepSeek AI integration does not work, try the following:

• No Suggestions Displayed: Verify that the DeepSeek API key and model name are correct in the configuration. Check the DeepSeekAIService implementation for errors.
• HTTP Request Failures: Ensure a stable internet connection and that the DeepSeek API endpoint (https://api.deepseek.com/v1/chat/completions) is accessible. Test with HTTP/2 if compatibility issues arise.
• Service Registration Errors: Confirm that DeepSeekAIService and DeepSeekInferenceService are registered in Program.cs.

See Also

• Getting Started with Syncfusion Blazor Smart Paste Button in Blazor Web App
• Customizing Smart Paste Button Suggestions