MCPInstall

syncfusion-react-inline-ai-assist

Implement the Syncfusion React Inline AI Assist component. Use this skill to add inline AI suggestions, integrate AI services such as OpenAI, Gemini, Lite-LLM, or Ollama, configure command and response actions, customize toolbars, enable built-in Speech-to-Text, handle events, and support real-time prompt-response workflows in React.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/syncfusion/react-ui-components-skills --skill syncfusion-react-inline-ai-assist
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads syncfusion-react-inline-ai-assist automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Syncfusion React Syncfusion React Inline AI Assist Component

Component Overview

The Inline AI Assist component provides intelligent text processing capabilities for your React applications. It enables AI-powered suggestions, content generation, and interactive prompt-response workflows with support for multiple AI service integrations.

Key Capabilities

  • Multi-AI Service Integration: Connect to OpenAI, Google Gemini, Lite-LLM, and Ollama for flexible AI backend options
  • Real-Time Response Streaming: Enable enableStreaming for progressive response updates during content generation
  • Command & Response Actions: Configure predefined commands for quick AI tasks and custom response actions
  • Inline Toolbar: Add custom toolbar items with icons, buttons, and separators for enhanced user interactions
  • Inline & Popup Modes: Display AI responses inline with existing content or in a floating popup window
  • Flexible Template Customization: Customize prompt input and response display using string, function, or JSX templates
  • Built-in Speech-to-Text: Enable the Web Speech API microphone button via speechToTextSettings with language, interim results, custom labels/icons, tooltips, and lifecycle events
  • Internationalization (i18n) & RTL: Support for multiple languages and right-to-left text direction
  • Event Handling: Lifecycle events including created, promptRequest, open, and close for precise control
  • Public Methods: Programmatic access with addResponse(), executePrompt(), showPopup(), and more
  • Prompt History: Track prompt-response conversations with persistent history management
  • Accessibility & Theming: Compatible with Material, Bootstrap, Fluent, and Tailwind CSS themes

Documentation and Navigation Guide

Getting Started

📄 Read: references/getting-started.md

  • Installation via npm
  • CSS theme imports (Material, Bootstrap, Fluent, Tailwind)
  • Component rendering
  • Custom styling with cssClass property
  • Running your first example

Template Customization

📄 Read: references/template-customization.md

  • editorTemplate property: Customize prompt input area
  • responseTemplate property: Customize response display
  • String templates, function templates, JSX.Element templates
  • Rich text editor integration
  • Custom voice input integration (inside editorTemplate)- Code syntax highlighting
  • Markdown rendering

Speech-to-Text

📄 Read: references/speech-to-text.md

  • Enable built-in Speech-to-Text via speechToTextSettings.enable
  • Configure the recognition language with the lang property (en-US, es-ES, fr-FR, etc.)
  • Customize the microphone button with buttonSettings (content, stopContent, iconCss, stopIconCss)
  • Stream partial transcripts in real time with allowInterimResults: true
  • Customize idle/recording tooltips with tooltipSettings (content, stopContent)
  • Hook into the recognition lifecycle with onStart, onStop, transcriptChanged, and onError
  • Use SpeechToTextSettingsModel and the Web Speech API for cross-browser voice input
  • Build an accessible status panel that surfaces recording state, live transcript, and errors

Internationalization (i18n) and RTL

📄 Read: references/internationalization.md

  • locale property: Set language and regional formatting
  • enableRtl property: Enable right-to-left text direction
  • Available locale codes and setup
  • Arabic, Hebrew, Persian support
  • Multi-language applications
  • Browser language detection
  • Custom localization strings

Positioning and Targeting

📄 Read: references/positioning-and-targeting.md

  • relateTo property: Position relative to DOM elements
  • target property: Specify where to append the component
  • responseMode property: Inline vs Popup display modes
  • Practical positioning scenarios

Command Settings

📄 Read: references/command-settings.md

  • Configure command items for quick actions
  • Command properties: id, label, iconCss, disabled, prompt, tooltip
  • Group commands with groupBy property
  • Handle itemSelect events
  • Set popup dimensions

Response Settings

📄 Read: references/response-settings.md

  • Built-in response items (accept, reject)
  • Adding custom response actions
  • Response item properties and configuration
  • Group response items with groupBy
  • Handle response itemSelect events

Inline Toolbar Customization

📄 Read: references/inline-toolbar.md

  • Configure toolbar items (buttons, separators, inputs)
  • Built-in items and custom items
  • Item properties: text, iconCss, type, visible, disabled, align
  • Tab key navigation with tabIndex
  • Custom item templates
  • Toolbar positioning: Inline vs Bottom
  • itemClick event handling with complete event args

Events

📄 Read: references/events.md

  • created event: Component render complete
  • promptRequest event: Prompt submitted by user
  • open event: Popup opened
  • close event: Popup closed
  • Event handler patterns and examples

Methods

📄 Read: references/methods.md

  • addResponse(response): Add AI response to component
  • executePrompt(prompt): Execute prompt dynamically
  • showPopup(coordinates): Open the popup
  • hidePopup(): Close the popup
  • showCommandPopup(): Show command actions
  • hideCommandPopup(): Hide command actions

AI Service Integrations

📄 Read: references/ai-integrations.md

  • enableStreaming property: Real-time response streaming
  • OpenAI API integration with streaming
  • Google Gemini AI integration with streaming
  • Lite-LLM service integration
  • Ollama local LLM integration with streaming
  • API credential setup
  • Prompt handling and response streaming
  • Performance optimization and error handling

Quick Start

import { InlineAIAssistComponent } from '@syncfusion/ej2-react-interactive-chat';
import React from 'react';

function App() {
    const assistRef = React.useRef(null);

    const handlePromptRequest = () => {
        // Simulate AI response
        setTimeout(() => {
            const response = 'Your AI-generated response here';
            assistRef.current?.addResponse(response);
        }, 1000);
    };

    const handleShowPopup = () => {
        assistRef.current?.showPopup();
    };

    return (
        <div>
            <button onClick={handleShowPopup} className="e-btn e-primary">
                Ask AI
            </button>
            <InlineAIAssistComponent
                id="inlineAssist"
                ref={assistRef}
                relateTo="button"
                promptRequest={handlePromptRequest}
                popupWidth="500px"
            />
        </div>
    );
}

export default App;

Common Patterns

Pattern 1: AI-Assisted Text Editing

Combine the component with a contentEditable div to enable AI-powered suggestions while editing:

const handleResponseItemSelect = (args) => {
    if (args.command.label === 'Accept') {
        const lastResponse = assistRef.current.prompts?.[assistRef.current.prompts.length - 1]?.response;
        if (lastResponse && editableRef.current) {
            editableRef.current.innerHTML = lastResponse;
        }
    }
};

<InlineAIAssistComponent
    responseSettings={{
        itemSelect: handleResponseItemSelect
    }}
/>

Pattern 2: Command-Based Actions

Set up predefined commands for common AI tasks:

const commandSettings = {
    commands: [
        { id: 'summarize', label: 'Summarize', iconCss: 'e-icons e-compress', prompt: 'Summarize this text' },
        { id: 'expand', label: 'Expand', iconCss: 'e-icons e-expand', prompt: 'Expand this text' },
        { id: 'fix', label: 'Fix Grammar', iconCss: 'e-icons e-check-box', prompt: 'Fix grammar and spelling' }
    ]
};

<InlineAIAssistComponent commandSettings={commandSettings} />

Pattern 3: Custom Toolbar Actions

Add custom toolbar items to trigger component methods:

const handleToolbarItemClick = (args) => {
    if (args.item.id === 'customAction') {
        assistRef.current?.executePrompt('User-defined prompt');
    }
};

const inlineToolbarSettings = {
    items: [
        { id: 'customAction', text: 'Custom', iconCss: 'e-icons e-settings' }
    ],
    itemClick: handleToolbarItemClick
};

Pattern 4: Response Display Modes

Switch between inline editing and popup responses:

// Inline mode: Response appears inline
<InlineAIAssistComponent responseMode="Inline" />

// Popup mode: Response in floating popup
<InlineAIAssistComponent responseMode="Popup" popupWidth="400px" />

Pattern 5: Lifecycle Management

Use events to coordinate component state:

const handleCreated = () => {
    console.log('Component initialized');
};

const handlePromptRequest = (args) => {
    console.log('Prompt submitted:', args.prompt);
};

<InlineAIAssistComponent
    created={handleCreated}
    promptRequest={handlePromptRequest}
    open={() => console.log('Popup opened')}
    close={() => console.log('Popup closed')}
/>

Pattern 6: Voice-Driven Inline Assistant

Enable the built-in Web Speech API microphone button to let users dictate prompts:

const speechToTextSettings = {
    enable: true,
    lang: 'en-US',
    allowInterimResults: true,
    buttonSettings: {
        content: 'Start Recording',
        stopContent: 'Stop Recording',
        iconCss: 'e-icons e-microphone',
        stopIconCss: 'e-icons e-microphone-off'
    },
    tooltipSettings: {
        content: 'Click to start recording',
        stopContent: 'Click to stop recording'
    }
};

<InlineAIAssistComponent speechToTextSettings={speechToTextSettings} />
  • onStart fires when recognition begins, onStop when it ends
  • transcriptChanged streams interim + final transcripts to a status panel
  • onError surfaces browser/network/mic errors to the user
  • The recognized prompt is injected into the standard promptRequest event, so existing AI service handlers keep working unchanged

Key Configuration Properties

PropertyTypeDefaultPurpose
editorTemplatestring | function | JSX.Element''Custom prompt input template
responseTemplatestring | function | JSX.Element''Custom response display template
enableStreamingbooleanfalseEnable real-time response streaming
localestring'en-US'Language and regional formatting
enableRtlbooleanfalseEnable right-to-left text direction
enablePersistencebooleanfalsePersist component state across reloads
cssClassstring''Custom CSS classes for styling
relateTostring | HTMLElement-Position component relative to element
targetstring | HTMLElement'body'Specify append target
responseModestring'Popup''Inline' or 'Popup'
popupWidthstring | number'400px'Popup width (CSS value)
popupHeightstring | number'auto'Popup height
zIndexnumber1000Popup z-index
placeholderstring'Ask or generate AI content..'Prompt textarea placeholder
promptstring''Default prompt text
promptsarray[]Prompt-response collection
commandSettingsCommandSettingsModelnullCommand configuration
responseSettingsResponseSettingsModelnullResponse action configuration
inlineToolbarSettingsInlineToolbarSettingsModelnullToolbar customization
speechToTextSettingsSpeechToTextSettingsModelnullBuilt-in Web Speech API microphone button (enable, lang, allowInterimResults, buttonSettings, tooltipSettings, onStart, onStop, transcriptChanged, onError)

For complete examples and advanced scenarios, explore individual reference files above.

FAQ

What does the syncfusion-react-inline-ai-assist skill do?

Implement the Syncfusion React Inline AI Assist component. Use this skill to add inline AI suggestions, integrate AI services such as OpenAI, Gemini, Lite-LLM, or Ollama, configure command and response actions, customize toolbars, enable built-in Speech-to-Text, handle events, and support real-time prompt-response workflows in React.

How do I install syncfusion-react-inline-ai-assist?

Run npx skills add https://github.com/syncfusion/react-ui-components-skills --skill syncfusion-react-inline-ai-assist in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/syncfusion-react-inline-ai-assist/ (personal) or .claude/skills/syncfusion-react-inline-ai-assist/ (project).

Which AI agents can use syncfusion-react-inline-ai-assist?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is syncfusion-react-inline-ai-assist safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains syncfusion-react-inline-ai-assist?

It is published by syncfusion in syncfusion/react-ui-components-skills. It has 701 recorded installs.

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