| name | syncfusion-blazor-smart-textarea |
| description | Set up and configure the Syncfusion Blazor Smart TextArea for AI-powered inline or popup text autocompletion. Covers OpenAI, Azure OpenAI, Ollama, and custom IChatInferenceService backends, plus UserRole, UserPhrases, and suggestion display mode customization. |
| metadata | {"author":"Syncfusion Inc","version":"34.1.29"} |
Syncfusion Blazor Smart TextArea
AI-powered text input component that provides context-aware autocompletion suggestions inline or in a popup, driven by OpenAI, Azure OpenAI, Ollama, or custom AI backends.
When to Use
Use this skill when you need to:
- Add
SfSmartTextArea to a Blazor Web App for AI-assisted text input
- Configure OpenAI, Azure OpenAI, Ollama, or a custom
IChatInferenceService
- Switch between inline and popup suggestion display modes
- Tune suggestions with
UserRole and UserPhrases context
- Implement a custom AI backend for Claude, DeepSeek, Groq, Gemini, etc.
- Troubleshoot missing suggestions or AI connectivity issues
Prerequisites
- Blazor Web App (.NET 8.0+) with Interactive Server render mode
- Visual Studio 2022 or Visual Studio Code
- Active OpenAI / Azure OpenAI account, Ollama instance, or custom AI backend
- Basic knowledge of Blazor and C#
Core Documentation
1. Getting Started with Smart TextArea
Complete setup guide including prerequisites, NuGet package installation, service registration, and component implementation.
→ Full Getting Started Guide
Key Topics:
- Creating a new Blazor Web App
- Registering Syncfusion services
- Configuring AI services (OpenAI, Azure OpenAI, Ollama)
- Adding stylesheets and scripts
- Implementing the first Smart TextArea component
2. Customization and Features
Guidance on customizing suggestion appearance and leveraging inherited TextArea features.
→ Full Customization & Features Guide
Key Topics:
- Popup vs inline suggestion display modes
- UserRole and UserPhrases configuration
- Inherited TextArea features (forms, floating labels, events, methods, styling)
- Best practices and complete examples
3. Custom AI Service Integration
Detailed procedures for implementing custom AI backends beyond the default providers.
→ Full Custom AI Integration Guide
Key Topics:
IChatInferenceService interface overview- Mock AI service examples
- Integration with Claude, DeepSeek, Groq, Gemini
- Service registration patterns
- Testing and troubleshooting custom services
Quick Start Checklist
□ Ensure Blazor Web App is created with Server Interactivity mode
□ Install required NuGet packages (SmartComponents, Themes)
□ Register Syncfusion Blazor service in Program.cs
□ Register and configure AI service (OpenAI/Azure/Ollama/Custom)
□ Add stylesheet and script references to App.razor
□ Add SfSmartTextArea component with UserRole
□ Test with Ctrl+F5 (Windows) or ⌘+F5 (macOS)
Key Concepts
| Concept | Reference |
|---|
| UserRole | Defines context for AI autocompletion suggestions |
| UserPhrases | Optional predefined expressions aligned with tone/usage patterns |
| ShowSuggestionOnPopup | Controls display mode: true (popup) or false (inline, default) |
| IChatInferenceService | Interface for implementing custom AI backends |
| ChatParameters | Standardized input for AI response generation |
NuGet Packages
Core Packages:
Syncfusion.Blazor.SmartComponents (v33.1.44+)Syncfusion.Blazor.Themes (v33.1.44+)
AI Service Packages (based on provider):
- OpenAI:
Microsoft.Extensions.AI, Microsoft.Extensions.AI.OpenAI
- Azure OpenAI:
Microsoft.Extensions.AI, Microsoft.Extensions.AI.OpenAI, Azure.AI.OpenAI
- Ollama:
Microsoft.Extensions.AI, OllamaSharp
