Implementing Syncfusion WPF Smart Text Editor

When to Use This Skill

Use this skill when users need to:

Implement AI-powered text input with predictive suggestions and context-aware completions
Add intelligent autocomplete to multiline text editors in WPF applications
Integrate AI services (Azure OpenAI, OpenAI, Ollama, or custom providers) for text generation
Create smart text fields for customer support, email composition, or content creation
Build responsive text editors with inline or popup suggestion display modes
Customize suggestion behavior with user roles, custom phrases, and styling options
Handle text change events and implement command patterns for text editors
Support offline suggestions with custom phrase libraries when AI is unavailable

The Smart Text Editor (SfSmartTextEditor) is ideal for scenarios requiring intelligent typing assistance, branded response templates, and AI-enhanced user input.

Component Overview

The Syncfusion WPF Smart Text Editor is a multiline input control that uses predictive suggestions to speed up typing. It integrates with AI inference services for context-aware completions and provides inline or popup suggestion display modes. Key capabilities include:

Core Features:

AI-powered suggestions via IChatInferenceService
Inline and popup suggestion display modes
Custom phrase library for offline suggestions
Keyboard integration (Tab, Right Arrow to accept)
Gesture support (tap/click for popup suggestions)
Maximum length validation
Placeholder text with customizable styling
Full UI customization (fonts, colors, sizes)
Command support (TextChangedCommand)

Supported AI Providers:

Azure OpenAI
OpenAI
Ollama (self-hosted models)
Custom services via IChatInferenceService interface
Claude AI (Anthropic)
DeepSeek AI
Google Gemini AI
Groq AI

Documentation and Navigation Guide

Getting Started and Installation

📄 Read: references/getting-started.md

Installing Syncfusion.SfSmartComponents.WPF NuGet package
Adding control via Designer, XAML, or C#
Configuring UserRole and UserPhrases for suggestions
Registering AI services in App.xaml.cs
Running the application and verifying AI features

When to read: Starting a new Smart Text Editor implementation, setting up the development environment, or adding the control to an existing WPF project.

Suggestion Display Modes

📄 Read: references/suggestion-display-modes.md

Inline mode: Suggestions rendered in place after caret
Popup mode: Compact hint overlay near caret
Keyboard shortcuts (Tab, Right Arrow)
Gesture support (tap/click)
Choosing between Inline and Popup modes

When to read: User needs to configure how suggestions appear, switch between display modes, or optimize for desktop vs touch devices.

Customization and Styling

📄 Read: references/customization.md

Text style customization (FontSize, Foreground, fonts)
Placeholder text and color customization
Suggestion text color (SuggestionInlineStyle)
Suggestion popup background (SuggestionPopupStyle)
Maximum input length (MaxLength property)
Complete styling examples

When to read: Customizing appearance to match application themes, changing text styles, configuring placeholders, or setting character limits.

Commands

📄 Read: references/commands.md

TextChangedCommand overview and implementation
Command binding in XAML
ViewModel pattern for command handling
Event handling patterns
Use cases for tracking text changes

When to read: Implementing text change notifications, MVVM command patterns, or custom event handling logic.

AI Service Configuration (Built-in Providers)

📄 Read: references/ai-service-configuration.md

Registering chat clients in App.xaml.cs
Azure OpenAI configuration (deployment, API key, endpoint)
OpenAI configuration (API key, model selection)
Ollama self-hosted models (installation, local setup)
Required NuGet packages for each provider
Troubleshooting built-in AI providers

When to read: Configuring Azure OpenAI, OpenAI, or Ollama for AI-powered suggestions. Use this for official/built-in AI provider setup.

Custom AI Service Integration

📄 Read: references/custom-ai-services.md

```
IChatInferenceService
```
interface and when to use it
Claude AI — request/response models, service class, registration
DeepSeek — chat completions integration and registration
Gemini — Google AI Studio setup, safety settings, registration
Groq — low-latency OpenAI-compatible endpoint, registration
No need to call
```
ConfigureSyncfusionAIServices()
```
when using custom services
Choosing the right custom provider
Troubleshooting custom AI implementations

When to read: Integrating custom AI services, implementing Claude/DeepSeek/Gemini/Groq, or creating a custom IChatInferenceService adapter.

Quick Start Example

Here's a minimal example to get started with the Smart Text Editor:

1. Install NuGet Package

powershell

Install-Package Syncfusion.SfSmartComponents.WPF

2. Add Control in XAML

xaml

<Window xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
        xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
        xmlns:syncfusion="http://schemas.syncfusion.com/wpf"
        x:Class="YourApp.MainWindow">
    <Grid>
        <syncfusion:SfSmartTextEditor 
            x:Name="smartTextEditor"
            Placeholder="Type your response..."
            UserRole="Customer support agent responding to inquiries">
            <syncfusion:SfSmartTextEditor.UserPhrases>
                <x:String>Thank you for reaching out.</x:String>
                <x:String>We'll investigate and get back to you shortly.</x:String>
            </syncfusion:SfSmartTextEditor.UserPhrases>
        </syncfusion:SfSmartTextEditor>
    </Grid>
</Window>

3. Configure AI Service (App.xaml.cs)

csharp

using Azure.AI.OpenAI;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.DependencyInjection;
using Syncfusion.UI.Xaml.SmartComponents;
using System.ClientModel;
using System.Windows;

public partial class App : Application
{
    protected override void OnStartup(StartupEventArgs e)
    {
        base.OnStartup(e);
        
        // Configure Azure OpenAI
        string azureApiKey = "<YOUR-API-KEY>";
        Uri azureEndpoint = new Uri("<YOUR-ENDPOINT>");
        string deploymentName = "<YOUR-DEPLOYMENT>";

        AzureOpenAIClient azureClient = new AzureOpenAIClient(
            azureEndpoint, 
            new ApiKeyCredential(azureApiKey)
        );
        IChatClient chatClient = azureClient
            .GetChatClient(deploymentName)
            .AsIChatClient();
        
        SyncfusionAIExtension.Services.AddSingleton<IChatClient>(chatClient);
        SyncfusionAIExtension.ConfigureSyncfusionAIServices();
    }
}

Common Patterns

Pattern 1: Support Ticket Response Editor

Scenario: Customer support application with branded responses.

xaml

<syncfusion:SfSmartTextEditor
    Placeholder="Write your response..."
    UserRole="Technical support engineer helping customers with product issues"
    MaxLength="2000"
    SuggestionDisplayMode="Inline">
    <syncfusion:SfSmartTextEditor.UserPhrases>
        <x:String>Thanks for contacting Syncfusion support.</x:String>
        <x:String>Could you please share a reproducible sample?</x:String>
        <x:String>We've logged this as a bug and will update you soon.</x:String>
        <x:String>Let us know if you need further assistance.</x:String>
    </syncfusion:SfSmartTextEditor.UserPhrases>
</syncfusion:SfSmartTextEditor>

Pattern 2: Email Composition with Custom Styling

Scenario: Email client with custom theme and popup suggestions.

xaml

<syncfusion:SfSmartTextEditor
    Placeholder="Compose your email..."
    UserRole="Professional email author"
    SuggestionDisplayMode="Popup"
    MaxLength="5000">
    <syncfusion:SfSmartTextEditor.Style>
        <Style TargetType="{x:Type syncfusion:SfSmartTextEditor}">
            <Setter Property="FontSize" Value="14"/>
            <Setter Property="Foreground" Value="#333333"/>
            <Setter Property="FontFamily" Value="Segoe UI"/>
        </Style>
    </syncfusion:SfSmartTextEditor.Style>
    <syncfusion:SfSmartTextEditor.SuggestionPopupStyle>
        <Style TargetType="syncfusion:SuggestionPopup">
            <Setter Property="Background" Value="#0078D4"/>
            <Setter Property="Foreground" Value="White"/>
        </Style>
    </syncfusion:SfSmartTextEditor.SuggestionPopupStyle>
</syncfusion:SfSmartTextEditor>

Pattern 3: Text Editor with Change Tracking

Scenario: Track text changes for auto-save or validation.

xaml

<syncfusion:SfSmartTextEditor
    x:Name="smartTextEditor"
    TextChangedCommand="{Binding TextChangedCommand}"
    Placeholder="Start typing..."/>

csharp

public class EditorViewModel : INotifyPropertyChanged
{
    public ICommand TextChangedCommand { get; }

    public EditorViewModel()
    {
        TextChangedCommand = new RelayCommand(OnTextChanged);
    }

    private void OnTextChanged()
    {
        // Auto-save, validation, or tracking logic
        Debug.WriteLine("Text changed - triggering auto-save");
    }
}

Pattern 4: Offline-First with Custom Phrases

Scenario: App that works without AI connectivity.

xaml

<syncfusion:SfSmartTextEditor
    Placeholder="Type your message..."
    UserRole="Sales representative responding to leads">
    <syncfusion:SfSmartTextEditor.UserPhrases>
        <x:String>Thank you for your interest in our products.</x:String>
        <x:String>I'd be happy to schedule a demo.</x:String>
        <x:String>Our pricing starts at $99 per month.</x:String>
        <x:String>Let me connect you with our solutions team.</x:String>
        <x:String>Feel free to reach out with any questions.</x:String>
    </syncfusion:SfSmartTextEditor.UserPhrases>
</syncfusion:SfSmartTextEditor>

Note: If no AI service is configured, the editor automatically falls back to UserPhrases for suggestions.

Key Properties

Property	Type	Description	Default
`Text`	`string`	Gets or sets the text content	`""`
`Placeholder`	`string`	Placeholder text when editor is empty	`null`
`UserRole`	`string`	Describes who is typing and intent (shapes AI suggestions)	`null`
`UserPhrases`	`List<string>`	Custom phrase library for offline suggestions	`null`
`SuggestionDisplayMode`	`SuggestionDisplayMode`	Display mode: `Inline` or `Popup`	`Inline`
`MaxLength`	`int`	Maximum character limit	`0` (unlimited)
`TextChangedCommand`	`ICommand`	Command triggered when text changes	`null`
`Style`	`Style`	Text style (FontSize, Foreground, etc.)	Default
`PlaceholderStyle`	`Style`	Placeholder styling	Default
`SuggestionInlineStyle`	`Style`	Inline suggestion text style	Default
`SuggestionPopupStyle`	`Style`	Popup suggestion background style	Default

Common Use Cases

When User Needs Inline Suggestions (Desktop)

Action: Set
```
SuggestionDisplayMode="Inline"
```
Why: Natural typing flow on keyboard-driven devices
Reference: suggestion-display-modes.md

When User Needs Popup Suggestions (Touch Devices)

Action: Set
```
SuggestionDisplayMode="Popup"
```
Why: Easier to tap/click on mobile/touch screens
Reference: suggestion-display-modes.md

When User Needs Azure OpenAI Integration

Action: Configure
```
AzureOpenAIClient
```
in App.xaml.cs
Why: Enterprise-grade AI with Azure security and compliance
Reference: ai-service-configuration.md

When User Needs Custom AI Provider (Claude, Gemini, etc.)

Action: Implement
```
IChatInferenceService
```
interface
Why: Use alternative AI providers or custom inference logic
Reference: custom-ai-services.md

When User Needs Character Limit

Action: Set
```
MaxLength
```
property
Why: Enforce input validation and prevent excessive text
Reference: customization.md

When User Needs Text Change Notifications

Action: Bind
```
TextChangedCommand
```
to ViewModel
Why: Track changes for auto-save, validation, or analytics
Reference: commands.md

When User Needs Offline Suggestions

Action: Configure
```
UserPhrases
```
without AI service
Why: Provide suggestions when AI is unavailable or disabled
Reference: getting-started.md

When User Needs Custom Theme

Action: Apply

Style

PlaceholderStyle

SuggestionInlineStyle

Why: Match application branding and design system
Reference: customization.md

Next Steps:

For initial setup and installation → Read getting-started.md
For AI provider configuration → Read ai-service-configuration.md
For custom AI services → Read custom-ai-services.md
For appearance customization → Read customization.md

syncfusion-wpf-smart-text-editor

NPX Install

Tags

SKILL.md Content

Implementing Syncfusion WPF Smart Text Editor

When to Use This Skill

Component Overview

Documentation and Navigation Guide

Getting Started and Installation

Suggestion Display Modes

Customization and Styling

Commands

AI Service Configuration (Built-in Providers)

Custom AI Service Integration

Quick Start Example

1. Install NuGet Package

2. Add Control in XAML

3. Configure AI Service (App.xaml.cs)

Common Patterns

Pattern 1: Support Ticket Response Editor

Pattern 2: Email Composition with Custom Styling

Pattern 3: Text Editor with Change Tracking

Pattern 4: Offline-First with Custom Phrases

Key Properties

Common Use Cases

When User Needs Inline Suggestions (Desktop)

When User Needs Popup Suggestions (Touch Devices)

When User Needs Azure OpenAI Integration

When User Needs Custom AI Provider (Claude, Gemini, etc.)

When User Needs Character Limit

When User Needs Text Change Notifications

When User Needs Offline Suggestions

When User Needs Custom Theme