Syncfusion Winui AI Assistview

Implementing WinUI AI AssistView

When to Use This Skill

Use this skill when the user needs to:

• Create an AI chat interface or conversational UI
• Implement an AI assistant or chatbot
• Integrate with AI services (OpenAI, Azure AI, etc.)
• Display AI-generated responses with formatting
• Show typing indicators during AI processing
• Provide AI-driven suggestions for quick responses
• Add custom toolbars for chat actions (copy, regenerate, like/dislike)
• Allow users to stop long-running AI responses
• Build customer support bots or help systems
• Create intelligent conversational applications

Always apply this skill when the user mentions: AI chat, AI assistant, chatbot, conversational UI, AI responses, chat interface, AI integration, typing indicator, AI suggestions, or AI-powered conversations in WinUI applications.

Component Overview

SfAIAssistView is a Syncfusion WinUI control that provides a comprehensive AI chat interface for building intelligent and responsive applications with AI services. It offers a user-friendly conversational UI with built-in support for suggestions, typing indicators, response toolbars, and customizable appearance.

Namespace: Syncfusion.UI.Xaml.Chat
NuGet Package: Syncfusion.Chat.WinUI
Platform: WinUI 3 Desktop (.NET 5+, Windows App SDK 1.0+)

Key Advantage: Provides a complete AI chat experience out-of-the-box with built-in toolbars, suggestions, typing indicators, and stop responding features—no need to build a chat UI from scratch.

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

• Installation and NuGet package setup (Syncfusion.Chat.WinUI)
• Namespace imports (Syncfusion.UI.Xaml.Chat)
• Basic SfAIAssistView initialization
• CurrentUser and Messages properties
• Creating ViewModel with TextMessage and Author classes
• First complete AI chat example
• License registration

AI Suggestions

📄 Read: references/suggestions.md

• Suggestions property for AI-driven suggestions
• Displaying quick response options
• Bottom-right corner positioning
• Dynamic suggestion updates
• Handling suggestion selection
• Use cases for expediting conversation flow

Response Toolbar

📄 Read: references/response-toolbar.md

• Built-in toolbar items (Copy, Regenerate, Like, Dislike)
• ResponseToolbarItem class and properties
• Custom toolbar items with ItemTemplate
• IsResponseToolbarVisible property
• ResponseToolbarItemClicked event
• Customizing toolbar appearance
• Adding custom actions to responses

Input Toolbar

📄 Read: references/input-toolbar.md

• InputToolbarItem class for custom input actions
• Adding toolbar items to text input area
• InputToolbarPosition (Left, Right)
• IsInputToolbarVisible property
• InputToolbarItemClicked event
• InputToolbarHeaderTemplate for file uploads
• Custom input area actions

Typing Indicator and Stop Responding

📄 Read: references/typing-and-stop-responding.md

• TypingIndicator property for AI processing feedback
• ShowTypingIndicator boolean property
• Real-time feedback during AI response generation
• EnableStopResponding property
• StopResponding event and command
• StopRespondingTemplate customization
• Canceling ongoing AI responses

Theming and Events

📄 Read: references/theming-and-events.md

• RequestedTheme property (Dark, Light themes)
• Theme support in App.xaml
• PromptRequest event
• InputMessage and Handled properties
• Validating user input before processing
• Custom actions on prompt submission
• Theme customization

Quick Start Example

<Page
    xmlns:syncfusion="using:Syncfusion.UI.Xaml.Chat">
    <Grid>
        <syncfusion:SfAIAssistView 
            x:Name="aiAssistView"
            CurrentUser="{Binding CurrentUser}"
            Messages="{Binding Chats}"
            Suggestions="{Binding Suggestions}"
            ShowTypingIndicator="{Binding IsProcessing}"
            TypingIndicator="{Binding TypingIndicator}"/>
    </Grid>
</Page>

using Syncfusion.UI.Xaml.Chat;
using System.Collections.ObjectModel;

public class ViewModel : INotifyPropertyChanged
{
    private ObservableCollection<object> chats;
    private Author currentUser;
    private IEnumerable<string> suggestions;
    private TypingIndicator typingIndicator;
    private bool isProcessing;

    public ViewModel()
    {
        this.CurrentUser = new Author { Name = "User" };
        this.Chats = new ObservableCollection<object>();
        this.TypingIndicator = new TypingIndicator { Author = new Author { Name = "AI" } };
        this.Suggestions = new ObservableCollection<string>();
        InitializeChat();
    }

    private async void InitializeChat()
    {
        // User asks a question
        this.Chats.Add(new TextMessage 
        { 
            Author = CurrentUser, 
            Text = "What is WinUI?" 
        });
        
        // Show typing indicator
        IsProcessing = true;
        await Task.Delay(1000);
        
        // AI responds
        IsProcessing = false;
        this.Chats.Add(new TextMessage 
        { 
            Author = new Author { Name = "AI" }, 
            Text = "WinUI is a user interface layer that contains modern controls and styles for building Windows apps." 
        });
        
        // Update suggestions
        Suggestions = new ObservableCollection<string> 
        { 
            "What is the future of WinUI?", 
            "What is XAML?", 
            "What is the difference between WinUI 2 and WinUI 3?" 
        };
    }

    public ObservableCollection<object> Chats
    {
        get => chats;
        set { chats = value; RaisePropertyChanged(nameof(Chats)); }
    }

    public Author CurrentUser
    {
        get => currentUser;
        set { currentUser = value; RaisePropertyChanged(nameof(CurrentUser)); }
    }

    public IEnumerable<string> Suggestions
    {
        get => suggestions;
        set { suggestions = value; RaisePropertyChanged(nameof(Suggestions)); }
    }

    public TypingIndicator TypingIndicator
    {
        get => typingIndicator;
        set { typingIndicator = value; RaisePropertyChanged(nameof(TypingIndicator)); }
    }

    public bool IsProcessing
    {
        get => isProcessing;
        set { isProcessing = value; RaisePropertyChanged(nameof(IsProcessing)); }
    }

    public event PropertyChangedEventHandler PropertyChanged;
    private void RaisePropertyChanged(string propertyName) =>
        PropertyChanged?.Invoke(this, new PropertyChangedEventArgs(propertyName));
}

Common Patterns

1. Basic AI Chat with Messages

<syncfusion:SfAIAssistView 
    CurrentUser="{Binding CurrentUser}"
    Messages="{Binding Chats}"/>

public class ViewModel
{
    public Author CurrentUser { get; set; } = new Author { Name = "John" };
    public ObservableCollection<object> Chats { get; set; } = new();

    public ViewModel()
    {
        Chats.Add(new TextMessage { Author = CurrentUser, Text = "Hello!" });
        Chats.Add(new TextMessage { Author = new Author { Name = "Bot" }, Text = "Hi! How can I help you?" });
    }
}

When to use: Simple AI chat without suggestions or typing indicators.

2. AI Chat with Typing Indicator

<syncfusion:SfAIAssistView 
    CurrentUser="{Binding CurrentUser}"
    Messages="{Binding Chats}"
    ShowTypingIndicator="{Binding IsAIProcessing}"
    TypingIndicator="{Binding TypingIndicator}"/>

private async void SendMessageToAI(string userMessage)
{
    Chats.Add(new TextMessage { Author = CurrentUser, Text = userMessage });
    
    // Show typing indicator
    IsAIProcessing = true;
    
    // Call AI service
    var aiResponse = await CallAIService(userMessage);
    
    // Hide typing indicator and show response
    IsAIProcessing = false;
    Chats.Add(new TextMessage { Author = new Author { Name = "AI" }, Text = aiResponse });
}

When to use: Show real-time feedback while AI generates responses.

3. AI Suggestions for Quick Responses

<syncfusion:SfAIAssistView 
    CurrentUser="{Binding CurrentUser}"
    Messages="{Binding Chats}"
    Suggestions="{Binding CurrentSuggestions}"/>

private void UpdateSuggestions(string lastAIResponse)
{
    // Generate contextual suggestions based on AI response
    CurrentSuggestions = new ObservableCollection<string>
    {
        "Tell me more",
        "Show me an example",
        "What are the alternatives?"
    };
}

When to use: Expedite conversation flow with contextual quick responses.

4. Custom Response Toolbar with Actions

<syncfusion:SfAIAssistView 
    CurrentUser="{Binding CurrentUser}"
    Messages="{Binding Chats}"
    IsResponseToolbarVisible="True"
    ResponseToolbarItemClicked="ResponseToolbar_ItemClicked"/>

private void ResponseToolbar_ItemClicked(object sender, ResponseToolbarItemClickedEventArgs e)
{
    switch (e.Item.ItemType)
    {
        case ResponseToolbarItemType.Copy:
            CopyToClipboard(e.Message.Text);
            break;
        case ResponseToolbarItemType.Regenerate:
            RegenerateAIResponse(e.Message);
            break;
        case ResponseToolbarItemType.Like:
            SendFeedback("like", e.Message);
            break;
        case ResponseToolbarItemType.Dislike:
            SendFeedback("dislike", e.Message);
            break;
    }
}

When to use: Allow users to interact with AI responses (copy, regenerate, rate).

5. Custom Input Toolbar with File Upload

<syncfusion:SfAIAssistView IsInputToolbarVisible="True">
    <syncfusion:SfAIAssistView.InputToolbarItems>
        <syncfusion:InputToolbarItem Tooltip="Attach file">
            <syncfusion:InputToolbarItem.ItemTemplate>
                <DataTemplate><Button Click="AttachFile_Click"><SymbolIcon Symbol="Attach"/></Button></DataTemplate>
            </syncfusion:InputToolbarItem.ItemTemplate>
        </syncfusion:InputToolbarItem>
    </syncfusion:SfAIAssistView.InputToolbarItems>
</syncfusion:SfAIAssistView>

When to use: Allow users to attach files to AI prompts. See input-toolbar.md for full implementation.

6. Stop Responding Feature for Long AI Responses

<syncfusion:SfAIAssistView 
    CurrentUser="{Binding CurrentUser}"
    Messages="{Binding Chats}"
    EnableStopResponding="True"
    StopResponding="StopResponding_Event"/>

private CancellationTokenSource aiCancellationToken;

private async void SendToAI(string prompt)
{
    aiCancellationToken = new CancellationTokenSource();
    
    try
    {
        var response = await CallAIServiceAsync(prompt, aiCancellationToken.Token);
        Chats.Add(new TextMessage { Author = new Author { Name = "AI" }, Text = response });
    }
    catch (OperationCanceledException)
    {
        Chats.Add(new TextMessage { Author = new Author { Name = "AI" }, Text = "Response canceled." });
    }
}

private void StopResponding_Event(object sender, EventArgs e)
{
    aiCancellationToken?.Cancel();
}

When to use: Allow users to cancel long-running AI responses.

7. PromptRequest Event for Input Validation

private void PromptRequest_Event(object sender, PromptRequestEventArgs e)
{
    if (string.IsNullOrWhiteSpace(e.InputMessage.Text))
    {
        e.Handled = true;
        ShowError("Please enter a message.");
    }
}

When to use: Validate or preprocess user input before AI processing.

8. OpenAI Integration Pattern

private async Task<string> CallOpenAI(string prompt)
{
    var client = new OpenAIClient(apiKey);
    var response = await client.CompleteChatAsync("gpt-4", new ChatCompletionOptions
    {
        Messages = { new SystemChatMessage("You are a helpful assistant."), new UserChatMessage(prompt) }
    });
    return response.Value.Content[0].Text;
}

When to use: Integrate with OpenAI GPT models. See theming-and-events.md for theme configuration.

Key Properties

Key Events

Common Use Cases

AI Chatbots and Assistants

• Customer support chatbots
• Virtual assistants
• Help desk automation
• FAQ bots
• Product recommendation assistants

Best Approach: Use Messages for conversation history, Suggestions for common queries, typing indicator for feedback.

AI-Powered Development Tools

• Code generation assistants
• Documentation generators
• Code review bots
• Debugging assistants

Best Approach: Enable response toolbar for copying code, regenerating responses. Use input toolbar for file/code uploads.

Educational AI Tutors

• Interactive learning assistants
• Homework help bots
• Language learning tutors
• Subject-specific tutors

Best Approach: Use suggestions for learning paths, response toolbar for rating answers, typing indicator for engagement.

Content Generation

• Writing assistants
• Email drafters
• Social media content creators
• Marketing copy generators

Best Approach: Enable copy/regenerate in response toolbar, use suggestions for content variations.

Data Analysis and Insights

• Business intelligence assistants
• Data query interfaces
• Report generation bots
• Analytics helpers

Best Approach: Use input toolbar for data uploads, stop responding for long queries, response toolbar for export actions.

Implementation Tips

1. Message Management: Use ObservableCollection for Messages to automatically update UI when adding/removing messages.

2. Typing Indicator: Show during async AI calls, hide when response arrives. Bind to ViewModel boolean property.

3. Suggestions: Update dynamically based on conversation context. Clear after user selects or after few exchanges.

4. Error Handling: Use PromptRequest event to validate input. Catch AI service errors gracefully.

5. Performance: For long conversations, consider implementing message pagination or limiting visible message count.

6. AI Service Integration: Use async/await for AI service calls. Implement cancellation tokens with stop responding feature.

7. Response Toolbar: Default items (Copy, Regenerate, Like, Dislike) work automatically. Handle ResponseToolbarItemClicked for custom logic.

8. Input Toolbar: Use for frequently needed actions like file upload, voice input, or emoji picker.

9. Theme Support: Set RequestedTheme in App.xaml for app-wide theme. Control auto-adapts to light/dark mode.

10. Accessibility: Set Author.Name for screen readers. Ensure sufficient contrast in custom templates.

Related Documentation

• Getting Started: See references/getting-started.md for setup and basic usage
• Suggestions: See references/suggestions.md for AI-driven quick responses
• Response Toolbar: See references/response-toolbar.md for response actions
• Input Toolbar: See references/input-toolbar.md for input area customization
• Typing & Stop: See references/typing-and-stop-responding.md for indicators and cancellation
• Theming & Events: See references/theming-and-events.md for themes and events