ai-agent/README.md

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# AI Agent System
A comprehensive AI agent framework with CLI and web interfaces, built using Python and integrating with the Symphony framework.
## Features
- **CLI Interface**: Command-line interface for interacting with the agent system
- **Orchestration Engine**: Schedule and manage agent tasks and workflows
- **NLP Capabilities**: Natural language processing for intent recognition
- **Security Framework**: Role-based access control and audit logging
- **Storage Adapters**: Modular storage backends including SQLite
- **Testing Infrastructure**: Comprehensive test suite for all components
- **Symphony Integration**: Works with the Symphony agent coordination framework
## Installation
### Prerequisites
- Python 3.9+
- pip
- virtualenv (recommended)
### Steps
1. Clone the repository:
```bash
git clone https://github.com/your-repo/ai-agent.git
cd ai-agent
```
2. Create and activate a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # Linux/MacOS
venv\Scripts\activate # Windows
```
3. Install dependencies:
```bash
pip install -e .
```
## CLI Usage
The system provides a command-line interface with these main commands:
```bash
# Start the agent system
python -m cli_interface start
# Run specific agent tasks
python -m cli_interface run-task [task_name]
# View system status
python -m cli_interface status
# Get help
python -m cli_interface --help
```
## Web Interface
The web interface provides a dashboard for monitoring and controlling agents:
1. Start the web server:
```bash
python -m web_interface
```
2. Access the interface at: `http://localhost:8000`
Features include:
- Agent status monitoring
- Task scheduling
- Performance metrics
- Security audit logs
## Configuration
Configuration is managed through environment variables and config files:
1. Copy the example config:
```bash
cp config.example.yaml config.yaml
```
2. Edit `config.yaml` with your settings:
```yaml
database:
adapter: sqlite
path: ./agent.db
security:
rbac_enabled: true
audit_log: ./audit.log
```
## Testing
Run the test suite with:
```bash
pytest tests/
```
Key test categories:
- Unit tests
- Integration tests
- Performance benchmarks
- Security validation
## Contributing
1. Fork the repository
2. Create a feature branch
3. Submit a pull request
Please follow the coding standards and include tests with new features.
## License
MIT License - See LICENSE file for details.