@takeshape/react-chat-agent

A React library providing AI chat components for integrating with TakeShape's chat agent platform. Features streaming chat responses, session management, markdown rendering, and bot protection.

Installation

npm install @takeshape/react-chat-agent

Quick Start

import { AiChatWidget } from '@takeshape/react-chat-agent';

function App() {
  return (
    <AiChatWidget
      endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
      apiKey="your-api-key"
      welcomeMessage="Welcome! How can I help you today?"
      suggestions={[
        'Tell me about your products',
        'How can I get started?',
        'What services do you offer?'
      ]}
    />
  );
}

AiChatWidget

The main component that provides a complete chat interface with a toggleable widget design.

Props

Prop	Type	Required	Description
endpoint	string	✅	TakeShape GraphQL endpoint URL
apiKey	string	✅	TakeShape API key for authentication
email	string	❌	User email for feedback attribution
welcomeMessage	string	❌	Initial message displayed when chat opens
suggestions	string[]	❌	Pre-defined message suggestions shown when chat is empty
position	'top-left' | 'top-right' | 'bottom-left' | 'bottom-right'	❌	Position of the chat widget on screen (defaults to 'bottom-right')

Features

• Fixed Position Widget: Renders as a fixed-position button that expands into a chat interface
• Session Management: Automatically manages chat sessions with localStorage persistence
• Streaming Responses: Real-time AI response streaming with typing indicators
• Markdown Support: Rich text rendering in AI responses using @llm-ui/markdown
• Message Feedback: Built-in thumbs up/down feedback system for AI responses
• Bot Protection: Automatic CAPTCHA/proof-of-work token generation via @takeshape/use-cap
• Error Handling: Comprehensive error states with retry functionality
• Responsive Design: Optimized for various screen sizes

Styling

The component uses Tailwind CSS.

Usage Examples

Basic Usage

<AiChatWidget
  endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
  apiKey="your-api-key"
/>

With Welcome Message and Suggestions

<AiChatWidget
  endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
  apiKey="your-api-key"
  welcomeMessage="Welcome! I can help you find products for your vehicle. Just tell me what you need!"
  suggestions={[
    'Help me find engine oil',
    'I need new brake pads',
    'Show me air filters',
    'Looking for spark plugs'
  ]}
/>

With User Email for Feedback

<AiChatWidget
  endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
  apiKey="your-api-key"
  email="user@example.com"
  welcomeMessage="Hello! How can I assist you today?"
/>

With Custom Position

<AiChatWidget
  endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
  apiKey="your-api-key"
  position="top-right"
  welcomeMessage="Chat with our AI assistant!"
/>

Architecture

The AiChatWidget consists of several key components:

• Chat Interface: Main chat UI with message history and input form
• Session Persistence: Automatic session saving/loading with localStorage
• Bot Protection: Integrated proof-of-work token generation
• Error Boundaries: React error boundaries for graceful error handling
• Feedback System: Modal-based feedback collection for AI responses

API Integration

The component integrates with TakeShape's GraphQL API for:

• Creating and managing chat sessions
• Sending messages and receiving AI responses
• Submitting message feedback

Error Handling

The component handles various error states:

• Network connection errors
• API authentication errors
• Malformed responses
• Session creation failures

All errors display user-friendly messages with retry functionality.

Markdown Support

The library provides a markdownBlock that can be used as a fallback block for rendering markdown content in AI responses. This block uses react-markdown with GitHub Flavored Markdown support.

Usage

import { AiChatWidget } from '@takeshape/react-chat-agent';
import { markdownBlock } from '@takeshape/react-chat-agent/blocks/markdown';

function App() {
  return (
    <AiChatWidget
      endpoint="https://api.takeshape.io/project/<your-project-id>/production/graphql"
      apiKey="your-api-key"
      welcomeMessage="Welcome! How can I help you today?"
      fallbackBlock={markdownBlock}
    />
  );
}

Development

See the example/ directory for a complete implementation example.