npm package: @skit-ai/llm-studio-chat-websdk
Description: A lightweight chat widget for LLM Studio
Author: Skit.ai
Latest version: 1.1.3

# LLM Studio Chat Web SDK

A lightweight, customizable chat widget for LLM Studio. This SDK allows you to easily integrate a chat interface with LLM Studio's text API into your website or application.

## 🚨 Browser Usage (Important)

**If you're using this directly in a browser via CDN or a script tag, you MUST include the polyfill first:**

```html
<!-- 1. First include the polyfill -->
<script src="https://cdn.jsdelivr.net/npm/@skit-ai/llm-studio-chat-websdk/dist/polyfill.js"></script>

<!-- 2. Then include the SDK -->
<script src="https://cdn.jsdelivr.net/npm/@skit-ai/llm-studio-chat-websdk/dist/llm-studio-chat-websdk.umd.js"></script>
```

**For detailed instructions on browser usage, see [BROWSER_USAGE.md](BROWSER_USAGE.md)**

## Features

- 💬 Easy to integrate chat widget
- 🌐 Works with LLM Studio's text API
- 🧩 Multiple integration options (HTML, React)
- 🎨 Fully customizable appearance
- 📱 Responsive design
- 🚀 Small bundle size
- 🛡️ CSS isolation to prevent styling conflicts

## Installation

### Option 1: Via CDN (for plain HTML websites)

```html
<script src="https://unpkg.com/llm-studio-chat-websdk@latest/dist/llm-studio-chat-websdk.umd.js"></script>
```

### Option 2: Via npm (for React/JS applications)

```bash
npm install llm-studio-chat-websdk
```

## Usage

### Basic HTML Integration

Simply add the script to your HTML page and initialize the chat widget:

```html
<script src="https://unpkg.com/llm-studio-chat-websdk@latest/dist/llm-studio-chat-websdk.umd.js"></script>
<script>
  document.addEventListener('DOMContentLoaded', function() {
    LLMStudioChatWebSDK.init({
      clientId: "YOUR_CLIENT_ID", // Required
      assistantId: "YOUR_ASSISTANT_ID", // Required
      region: "us", // Required - your specific region (us or in)
      
      // Optional customization
      position: "bottom-right",
      assistantName: "Support Bot",
      welcomeMessage: "Hello! How can I help you today?",
      suggestedPrompts: [
        "What services do you offer?",
        "How do I reset my password?",
        "I need technical support"
      ],
      primaryColor: "#4f46e5"
    });
  });
</script>
```

### React Integration

Import and use the ChatWidget component:

```jsx
import { ChatWidget } from 'llm-studio-chat-websdk';

function App() {
  return (
    <div>
      <h1>My Website</h1>
      
      <ChatWidget
        clientId="YOUR_CLIENT_ID"
        assistantId="YOUR_ASSISTANT_ID"
        region="us" // 'us' or 'in'
        position="bottom-right"
        primaryColor="#4f46e5"
      />
    </div>
  );
}
```

## Configuration Options

The chat widget accepts the following configuration options:

### Required Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| `clientId` | string | Your LLM Studio client ID |
| `assistantId` | string | Your LLM Studio assistant ID |
| `region` | string | Region for API requests (supported values: 'us', 'in') |

### Appearance Customization

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `position` | string | 'bottom-right' | Widget position ('bottom-right', 'bottom-left', 'top-right', 'top-left') |
| `assistantName` | string | 'Assistant' | Name of the chat assistant |
| `assistantAvatar` | string | undefined | URL to avatar image for the assistant |
| `welcomeMessage` | string | 'Hello! How can I help you today?' | Initial message shown in the chat |
| `suggestedPrompts` | string[] | [] | Array of suggested message buttons to show |
| `primaryColor` | string | '#3b82f6' | Primary color for UI elements |
| `secondaryColor` | string | '#6c757d' | Secondary color for UI elements |
| `height` | string | '600px' | Height of the chat widget |
| `width` | string | '380px' | Width of the chat widget |

### Behavior Customization

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `defaultOpen` | boolean | false | Whether the chat should be open by default |
| `embedded` | boolean | false | Whether to render as embedded (no popup) |
| `autoSendFirstMessage` | boolean | true | Whether to automatically send an initial message |
| `userId` | string | 'anonymous' | User ID for tracking conversations |

## Advanced Usage

### CSS Prefixing to Prevent Style Conflicts

To prevent style conflicts with your website's CSS, all Tailwind CSS classes in the widget are prefixed with `skit-ai-llm-`. This ensures that our styling won't be overridden by your custom CSS and vice versa.

For example, instead of using `py-5`, we use `skit-ai-llm-py-5` internally. This prefix is automatically applied and you don't need to use it when customizing the widget.

### Embedded Chat

You can embed the chat directly into your page:

```jsx
<div style={{ height: '500px', width: '100%', maxWidth: '400px' }}>
  <ChatWidget
    clientId="YOUR_CLIENT_ID"
    assistantId="YOUR_ASSISTANT_ID"
    region="us" // 'us' or 'in'
    embedded={true}
  />
</div>
```

### Controlled Mode

You can control the open/close state of the chat:

```jsx
import { useState } from 'react';
import { ChatWidget } from 'llm-studio-chat-websdk';

function App() {
  const [isChatOpen, setIsChatOpen] = useState(false);
  
  return (
    <div>
      <h1>My Website</h1>
      <button onClick={() => setIsChatOpen(true)}>Open Chat</button>
      
      <ChatWidget
        clientId="YOUR_CLIENT_ID"
        assistantId="YOUR_ASSISTANT_ID"
        region="us" // 'us' or 'in'
        isOpen={isChatOpen}
        onClose={() => setIsChatOpen(false)}
      />
    </div>
  );
}
```

## Browser Support

The SDK supports all modern browsers:

- Chrome (latest)
- Firefox (latest)
- Safari (latest)
- Edge (latest)

## License

MIT