ComfyUI Telegram Bot Custom Nodes

This package provides custom nodes for ComfyUI that enable Telegram bot integration, allowing you to create workflows that can receive messages from Telegram and send responses back.

Features

• Telegram Listener: A node that connects to a Telegram bot and listens for incoming messages
• Save to Telegram: A node that sends messages back to Telegram chats

Installation

Method 1: ComfyUI Manager (Recommended)

1. Install ComfyUI Manager
2. Go to Manager → Install Custom Nodes
3. Search for "Telegram Bot" and install

Method 2: Manual Installation

1. Clone this repository into your ComfyUI custom nodes directory:

   cd ComfyUI/custom_nodes/
   git clone <repository-url> ComfyUI-telegram-bot-node
   cd ComfyUI-telegram-bot-node
   

2. Install the required dependencies:

   # On Linux/Mac:
   ./install.sh
   # On Windows:
   install.bat
   

3. Restart ComfyUI

Important: Make sure the final directory structure looks like:

ComfyUI/
├── main.py (or comfyui_main.py)
├── custom_nodes/
│   └── ComfyUI-telegram-bot-node/
│       ├── __init__.py
│       ├── telegram_nodes.py
│       ├── requirements.txt
│       └── ... (other files)
└── ... (other ComfyUI files)

Method 3: Manual Dependency Installation

If the install scripts don't work, manually install the dependencies:

pip install python-telegram-bot==20.7

Setup

Creating a Telegram Bot

1. Open Telegram and search for @BotFather
2. Start a chat and send /newbot
3. Follow the instructions to create your bot
4. Save the bot token provided by BotFather

Getting Your Chat ID

1. Start a chat with your bot
2. Send any message to your bot
3. Visit: https://api.telegram.org/bot<YOUR_BOT_TOKEN>/getUpdates
4. Look for the chat.id field in the response

Usage

Telegram Listener Node

This node listens for incoming Telegram messages and outputs:

• message_text: The text content of the received message
• chat_id: The chat ID where the message came from

Inputs:

• bot_token: Your Telegram bot token from BotFather
• timeout: How long to wait for a message (in seconds)

Save to Telegram Node

This node sends messages back to Telegram chats.

Inputs:

• bot_token: Your Telegram bot token from BotFather
• chat_id: The chat ID to send the message to (usually from Telegram Listener)
• message: The message text to send

Output:

• status: Status message indicating success or failure

Example Workflow

1. Add a Telegram Listener node
2. Configure it with your bot token
3. Connect the message_text output to your text processing pipeline (e.g., to a prompt input)
4. Process your data (generate images, run text through AI, etc.)
5. Add a Save to Telegram node
6. Connect the chat_id from the listener to the chat_id input of the sender
7. Connect your processed result to the message input
8. Run the workflow - it will wait for Telegram messages and respond automatically

Notes

• The bot will only respond to text messages (not images, files, etc.)
• Each Telegram Listener node runs its own bot instance
• The nodes handle async operations internally, so they work seamlessly with ComfyUI's execution model
• Chat IDs are preserved between the listener and sender nodes to enable proper responses

Troubleshooting

• Make sure your bot token is correct
• Ensure the bot has been started by sending /start in the chat
• Check that the required dependencies are installed
• Verify that your firewall allows the connection to Telegram's servers

Development

Running Tests

The project includes comprehensive unit tests to ensure reliability:

# Run all tests
make test

# Run tests with verbose output
make test-verbose

# Run tests with coverage report
make test-coverage

# Using the test runner directly
python run_tests.py

# Run specific test module
python run_tests.py --specific telegram_nodes

Code Quality

# Install development dependencies
make install-dev

# Run linting
make lint

# Format code
make format

# Run all checks
make check-all

Test Coverage

The test suite covers:

• Node class structure validation
• Input/output type checking
• Error handling and validation
• Integration between nodes
• Project structure compliance
• ComfyUI Manager compatibility

License

MIT License