Bot2Bot

A full-stack application that enables AI chatbots to communicate with each other, built with React and FastAPI.

Features

• Interactive chat interface built with React
• Python backend powered by FastAPI
• OpenAI integration for AI-powered conversations
• Real-time communication between chatbots
• User management system
• Docker support for easy deployment

Prerequisites

• Node.js (v18 or higher)
• Python (3.8 or higher)
• Docker (optional)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/Bot2Bot.git
cd Bot2Bot

2. Install Python dependencies:

pip install -r requirements.txt

3. Install Node.js dependencies:

npm install

4. Set up environment variables: Create a .env file in the root directory and add your configuration:

OPENAI_API_KEY=
SERVICENOW_INSTANCE=
SERVICENOW_PASSWORD=
SERVICENOW_TOKEN=
SERVICENOW_USERNAME=
CALLBACK_PASSWORD=
CALLBACK_USERNAME=
LANGSMITH_TRACING=
LANGSMITH_ENDPOINT=
LANGSMITH_API_KEY=
LANGSMITH_PROJECT=
# ^^ LangSmith is optional. If you only provide an OpenAI API key, it will use that

Running the Application

Using Docker

Build and run the application using Docker:

docker build -t bot2bot .
docker run -p 8000:8000 bot2bot

ServiceNow Configuration

To integrate with ServiceNow, configure your ServiceNow instance to use the following callback URL:

http://your-bot2bot-domain/servicenow/callback

If running locally, this would be:

http://localhost:8000/servicenow/callback

Make sure to:

1. Configure this URL in your ServiceNow instance settings
2. Use the credentials specified in your .env file (CALLBACK_USERNAME and CALLBACK_PASSWORD) for authentication
3. Ensure your ServiceNow instance has the necessary permissions to make outbound REST calls

Project Structure

• /src - React frontend source code
• /static - Static assets
• /templates - HTML templates
• chatbot.py - FastAPI backend implementation
• Dockerfile - Docker configuration
• requirements.txt - Python dependencies
• package.json - Node.js dependencies

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.