syncfusion-blazor-ai-assistview
About syncfusion-blazor-ai-assistview
This skill helps Blazor developers build conversational interfaces with Syncfusion's SfAIAssistView, for chat and prompt-response applications. It covers streaming, attachments, multiple views, toolbars, speech features, and integration patterns for AI services.
Key features
- 01Prompt and suggestion management
- 02Asynchronous and streaming responses
- 03Markdown response rendering
- 04Attachments and event handling
- 05Multiple views with separate histories
- 06Voice input and speech synthesis
Use cases
- 01Build a customer support chatbot interface
- 02Create an interface for code suggestions and explanations
- 03Make an interactive writing and editing assistant
- 04Build an educational question-and-answer interface
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ syncfusion/ blazor-ui-components-skills --skill syncfusion-blazor-ai-assistviewAfter installing, type/syncfusion-blazor-ai-assistviewin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/advanced-features.mdai-service-integration.mdattachments.mdchain-of-thoughts.mdcustomization-styling.mdgenerative-ui.mdgetting-started.mdmethods-api.mdmulti-view-support.mdprompt-configuration.mdprompt-suggestions.mdspeech.mdstreaming.mdtemplates.mdtoolbars.mdDetails
From the project READMESyncfusion Blazor AI AssistView
Build conversational AI interfaces with the Syncfusion Blazor AI AssistView component. This skill provides complete guidance for creating interactive chat applications, AI assistant UIs, and prompt-response systems in Blazor Server, WebAssembly, and Web App projects.
Component Overview
The SfAIAssistView component is a specialized UI control for building AI-powered chat applications. It manages the presentation and interaction model for prompt-response conversations with built-in support for:
- Prompt Management: Input text, suggestions, placeholder text
- Response Handling: Async processing, markdown rendering, streaming support
- Customization: Avatar icons, styling, theme integration
- UX Features: Scroll-to-bottom indicator, conversation history
- Event Integration: PromptRequested events for AI service callbacks
Navigation Guide
Getting Started
📄 Read: references/getting-started.md
- Installation and NuGet package setup
- Basic component structure and initialization
- PromptRequested event handler implementation
- Minimal working example with async responses
Prompt Configuration
📄 Read: references/prompt-configuration.md
- Setting initial prompt text
- Configuring prompt placeholder text
- Managing prompt-response collections
- Handling prompt events asynchronously
Prompt Suggestions
📄 Read: references/prompt-suggestions.md
- Adding suggestion lists for user guidance
- Customizing suggestion headers
- Building suggestion-response mappings
- User interaction patterns with suggestions
Customization & Icons
📄 Read: references/customization-styling.md
- Customizing user avatar with PromptIconCss
- Customizing AI avatar with ResponseIconCss
- Applying theme-specific icons
- CSS class and icon integration
Advanced Features
📄 Read: references/advanced-features.md
- Markdown rendering in AI responses
- Scroll-to-bottom navigation (EnableScrollToBottom)
- Managing conversation history with Prompts collection
- Common patterns and use cases
AI Service Integration
📄 Read: references/ai-service-integration.md
- OpenAI API integration (non-streaming and streaming)
- Azure OpenAI deployment
- Local Ollama LLM hosting
- Custom backend patterns
- Error handling and rate limiting strategies
Attachments
📄 Read: references/attachments.md
- Enabling file attachments
- Configuring attachment settings (file types, size limits)
- Handling attachment events (upload, click, remove)
- AttachmentRemoving event (fires before a file is removed; cancellable)
- Server-side upload implementation
- Security and validation best practices
Multi-View Support
📄 Read: references/multi-view-support.md
- Creating multiple specialized AI views
- Active view management and switching
- View-specific configuration
- Separate conversation histories per view
- Role-based and workspace-based views
Toolbars
📄 Read: references/toolbars.md
- Prompt toolbar customization
- Response toolbar actions (copy, like, regenerate)
- Regenerate responses with navigation and pre-loading
- Footer toolbar configuration
- Footer toolbar item alignment (
ItemAlign.Left/ItemAlign.Right) - Custom toolbar items and templates
- Handling toolbar events
Templates
📄 Read: references/templates.md
- BannerTemplate for initial/empty state
- PromptItemTemplate for custom prompt rendering
- ResponseItemTemplate for custom response rendering
- ResponseAnimationTemplate for custom loading indicator while a response is being generated
- PromptSuggestionItemTemplate for custom suggestions
- FooterTemplate and ViewTemplate customization
- Template contexts and available properties
Speech Recognition and Synthesis
📄 Read: references/speech.md
- TextToSpeechSettings for Text-to-Speech (TTS) configuration and speaker settings
- Speech-to-Text (STT) voice input integration
- Microphone access and audio input handling
- Speech synthesis customization (pitch, rate, volume, language)
- Error handling and browser compatibility
Streaming Responses
📄 Read: references/streaming.md
- Enabling streaming mode
- UpdateResponseAsync for progressive updates
- Real-time response rendering
- Integration with OpenAI, Azure, and Ollama streaming APIs
- Stop responding functionality
- Performance optimization
Generative UI
📄 Read: references/generative-ui.md
- Registering custom tools with the
ToolUIBlocktag directive - Building structured responses with
TextBlockandToolBlock(IResponseBlock) - Passing parameters to tools via the
Propsdictionary - Combining text and tool blocks in a single response
- Configuring an AI service to return a
blocksJSON array - Pre-loading generative UI conversations via the
Promptscollection
Chain of Thoughts
📄 Read: references/chain-of-thoughts.md
- Rendering reasoning blocks with
ThinkingBlockandBlockType.Thinking - Adding structured
StageswithThinkingStage,ThinkingStageStatus, and inlineThinkingContextItemchips - Multi-step streaming pattern (append new thinking blocks as the model reasons)
- Customizing stage rendering with the
ThinkingStageTemplatetag - Combining thinking blocks with text/tool blocks in a single response
Methods & Programmatic API
📄 Read: references/methods-api.md
- ExecutePromptAsync for automated prompts
- UpdateResponseAsync for streaming updates
- RefreshUIAsync for manual UI refresh
- ScrollToBottomAsync for scroll control
- Automated workflows and batch processing
Quick Start
@using Syncfusion.Blazor.InteractiveChat
<div style="height: 400px; width: 600px;">
<SfAIAssistView
Prompt="What is Blazor?"
PromptRequested="@OnPromptRequested">
</SfAIAssistView>
</div>
@code {
private async Task OnPromptRequested(AssistViewPromptRequestedEventArgs args)
{
// Add delay to simulate AI processing
await Task.Delay(1000);
// Connect to your AI service here (OpenAI, Azure, etc.)
var response = await GetAIResponse(args.Prompt);
args.Response = response;
}
private async Task<string> GetAIResponse(string prompt)
{
// Call your AI service API
// For testing: return a simple response
return $"<div>Processing your prompt: {prompt}</div>";
}
}
Common Patterns
Pattern 1: Pre-Initialized Conversation
Load the component with existing conversation history:
<SfAIAssistView
Prompts="@conversationHistory"
PromptRequested="@OnPromptRequested">
</SfAIAssistView>
@code {
private List<AssistViewPrompt> conversationHistory = new()
{
new AssistViewPrompt {
Prompt = "What is C#?",
Response = "<div>C# is a modern object-oriented programming language...</div>"
}
};
}
Pattern 2: Guided Suggestions
Use suggestions to help users refine their prompts:
<SfAIAssistView
PromptSuggestions="@suggestions"
PromptSuggestionsHeader="Try asking about:"
PromptRequested="@OnPromptRequested">
</SfAIAssistView>
@code {
private List<string> suggestions = new()
{
"How does dependency injection work?",
"Explain async/await patterns",
"What are Blazor components?"
};
}
Pattern 3: Custom Avatars
Personalize user and AI identities with custom icons:
<SfAIAssistView
PromptIconCss="e-icons e-user"
ResponseIconCss="e-icons e-bullet-2"
PromptRequested="@OnPromptRequested">
</SfAIAssistView>
Key Props
| Property | Type | Purpose |
|---|---|---|
Prompt | string | Initial prompt text to display |
PromptPlaceholder | string | Placeholder text in input field (default: "Type prompt for assistance...") |
PromptSuggestions | List<string> | List of suggested prompts for user guidance |
PromptSuggestionsHeader | string | Header text above suggestions |
Prompts | List<AssistViewPrompt> | Collection of prompt-response pairs (conversation history) |
PromptIconCss | string | CSS classes for user avatar icon |
ResponseIconCss | string | CSS classes for AI avatar icon (default: "e-assistview-icon") |
EnableScrollToBottom | bool | Show scroll-to-bottom indicator (default: true) |
EnableStreaming | bool | Enable streaming mode for progressive responses |
ActiveView | int | Index of currently active view (for multi-view) |
ShowHeader | bool | Show/hide component header (default: true) |
Width | string | Component width (default: "100%") |
Height | string | Component height (default: "100%") |
CssClass | string | Custom CSS classes for styling |
EnableRtl | bool | Enable right-to-left layout (default: false) |
ID | string | Sets the id attribute for the component |
Common Use Cases
- Customer Support Chatbot - Combine with knowledge base to answer FAQs
- Coding Assistant - Real-time code suggestions and explanations
- Content Generator - Interactive writing and editing assistant
- Learning Interface - Q&A system for educational content
- API Documentation - Interactive API helper with examples