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② 後台搜尋「ThimPress AI Chatbot with Chatboz」→ 直接安裝（推薦）
原文外掛簡介
Chatboz is an AI-powered chatbot plugin designed specifically for WordPress websites. It leverages advanced natural language processing to provide intelligent and context-aware responses to user queries, enhancing user engagement and support.
Integration with LearnPress LMS system allows Chatboz to assist students with course-related questions, enrollment processes, and general inquiries about the learning platform.
Source and Build
This plugin ships compiled assets in assets/dist.
Source files are included in:
– assets/src/js
– assets/src/scss
– assets/src/css
Build steps:
1. npm install
2. npm run build
3. npm run build:styles
4. npm run release
Generated files are output into assets/dist and release artifacts are created in release/.
External services
Plugin Chatboz AI Chatbot send data chat via API của chatboz to storage messages.
Document use API của chatboz: api.chatboz.com/docs
Term: https://api.chatboz.com/api/v1/terms-of-use
Privacy policy: https://api.chatboz.com/api/v1/privacy-policy
Chatboz API Overview – Chatbot System
System Overview
The RAG Chatbot System (Retrieval-Augmented Generation) provides an intelligent chat solution with the ability to answer questions based on uploaded documents, combined with group chat features that allow multiple users to interact in the same chat room.
Technology Stack
Backend Framework: FastAPI
Database: MongoDB
AI/ML: LangChain, OpenAI/Google AI
Real-time Communication: WebSocket
Authentication: JWT Token
Main Chat APIs
Base URL: /api/v1
1. Bot Chat API (1-on-1)
Endpoint: POST /chat
Description: Send a message to the chatbot and receive an answer based on trained documents. The bot returns a streaming response (text/event-stream) to display the answer character by character.
Authentication: Bearer Token
Request Body:
json
{
"session_id": "session_123",
"question": "What are the features of your product?",
"chat_history": [
{
"role": "user",
"content": "Hello"
},
{
"role": "assistant",
"content": "Hi! How can I help you?"
}
]
}
Response (Streaming):
`
Content-Type: text/event-stream
Our product has the following features:
1. Automated 24/7 question answering
2. RAG (Retrieval-Augmented Generation) integration
3. Multi-language support
4. Document data analysis…
`
Notes:
Response is streamed as Server-Sent Events (SSE)
Answer is sent token by token (real-time typing effect)
After streaming completes, message is automatically saved to database with session_id
Token usage and cost are calculated and stored
Use Cases:
1-on-1 chat with bot for product/service Q&A
Automated 24/7 customer question answering
Customer support with information from knowledge base
Additional Notes:
Bot answers based on uploaded and trained documents
Includes sources for users to verify information
Supports chat history for bot to understand conversation context
2. WebSocket Group Chat (Real-time Multi-user)
Endpoint: WebSocket /ws/group/{client_id}
Description: Connect via WebSocket for real-time chat with multiple people in a room.
Authentication: client_id in URL (membership check when joining room)
Event: Send message in group
Client sends:
json
{
"event": "message",
"room_id": "room_001",
"content": "Hello everyone!",
"sender": {
"id": "user_123",
"type": "user",
"name": "John Smith"
}
}
Server broadcasts to all members:
json
{
"event": "message",
"room_id": "room_001",
"message_id": "msg_001",
"client_id": "user_123",
"content": "Hello everyone!",
"sender": {
"id": "user_123",
"type": "user",
"name": "John Smith"
},
"timestamp": "2026-03-06T10:35:00Z"
}
Event: Join room
Client sends:
json
{
"event": "join",
"room_id": "room_001",
"limit": 50
}
Server response:
json
{
"event": "joined",
"room_id": "room_001",
"message": "Successfully joined room room_001"
}
Server sends chat history:
json
{
"event": "chat_history",
"room_id": "room_001",
"messages": [
{
"id": "msg_001",
"sender": {...},
"content": "Hello!",
"timestamp": "2026-03-06T10:00:00Z"
}
],
"total": 150,
"has_more": true
}
Use Cases:
Real-time group chat for team collaboration
Customer support with multiple agents
Live chat in e-learning
Community discussion rooms
Key Features:
Real-time messaging with WebSocket
Typing indicator display
Message reactions (👍, ❤️, …)
Reply to message
Mention users (@username)
Edit/Delete messages
Pin important messages
Room management (lock, mute members, ban)
Authentication
All APIs require authentication using one of the following methods:
Bearer Token (JWT) — For REST API
Authorization: Bearer
Client ID — For WebSocket
wss://api.chatboz.com/api/v1/ws/group/user_123
User ID — For some simple APIs
?user_id=user_123
