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# Multi-Agent Chatbot Platform

## Project Overview

This project is an innovative multi-agent chatbot platform designed to create interactive, dynamic conversational experiences using advanced language models and intelligent agent orchestration.

### Key Components

- **Personality Data Manager**: Manages agent personality profiles
- **Chatbot Engine Adapter**: Interfaces with language models
- **Conversation Orchestrator**: Manages multi-agent dialogues
- **API Layer**: Provides interface for frontend and external interactions
- **Frontend UI**: React-based interactive chat interface

## Prerequisites

Before you begin, ensure you have the following installed:

- Node.js (v18+ recommended)
- npm or yarn
- Docker (optional, for containerized deployment)

## Setup Instructions

### 1. Clone the Repository

```bash
git clone https://github.com/your-org/multi-agent-chatbot.git
cd multi-agent-chatbot
```

### 2. Install Dependencies

```bash
npm install
# or
yarn install
```

### 3. Environment Configuration

1. Copy the example environment file:
```bash
cp .env.example .env
```

2. Update `.env` with your specific configuration:
- OpenAI API Key
- Database Connection Strings
- Other environment-specific settings

### 4. Run Development Server

```bash
npm run dev
# or
yarn dev
```

### 5. Running Tests

```bash
npm test
# or
yarn test
```

## Project Structure

```
├── src/
│ ├── components/ # React UI components
│ ├── services/ # Backend services
│ ├── utils/ # Utility functions
│ └── tests/ # Test suites
├── docs/ # Documentation
├── scripts/ # Utility scripts
└── config/ # Configuration files
```

## Contribution Guidelines

1. Fork the repository
2. Create a 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

## Development Roadmap

- [x] Project Setup
- [ ] Personality Data Manager
- [ ] Chatbot Engine Adapter
- [ ] Conversation Orchestrator
- [ ] API Layer Implementation
- [ ] Frontend UI Development

## License

[Specify your project's license, e.g., MIT]

## Contact

[Your contact information or team's contact details]
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