AI Agent Ecosystem

A powerful, scalable ecosystem for managing and monitoring AI agents. This system provides a framework for deploying, managing, and monitoring multiple AI agents working together to accomplish complex tasks.

Features

• Multiple Agent Types

  • ROI Optimization Agent
  • Marketplace Manager Agent
  • Analytics Agent

• Real-time Monitoring

  • Health checks
  • Performance metrics
  • Resource utilization
  • Error tracking

• Modern Web Interface

  • Real-time dashboard
  • Agent management
  • Metrics visualization
  • System configuration

Architecture

The system consists of several components:

1. Backend (FastAPI)

   • RESTful API endpoints
   • Agent management
   • Metrics collection
   • Health monitoring

2. Frontend (React)

   • Modern Material-UI interface
   • Real-time updates
   • Interactive dashboards
   • Configuration management

3. Monitoring Stack

   • Prometheus for metrics collection
   • Grafana for visualization
   • Custom dashboards

Prerequisites

• Python 3.8+
• Node.js 14+
• Docker and Docker Compose
• Git

Installation

1. Clone the repository:

git clone https://github.com/yourusername/ai-agent-ecosystem.git
cd ai-agent-ecosystem

2. Install Python dependencies:

pip install -r requirements.txt

3. Install frontend dependencies:

cd frontend
npm install
cd ..

4. Start the monitoring stack:

docker compose up -d

5. Start the backend server:

python -m src.main

6. Start the frontend development server:

cd frontend
npm start

Configuration

1. Backend configuration is managed through environment variables. Copy .env.sample to .env and adjust as needed.

2. Frontend configuration can be modified in frontend/.env.

3. Monitoring stack configuration:

   • Prometheus: prometheus.yml
   • Grafana: grafana/provisioning/

Usage

1. Access the web interface at http://localhost:3002

2. Monitor your agents:

   • Dashboard: http://localhost:3002/
   • Agents: http://localhost:3002/agents
   • Metrics: http://localhost:3002/metrics
   • Settings: http://localhost:3002/settings

3. Access monitoring tools:

   • Prometheus: http://localhost:9090
   • Grafana: http://localhost:3003 (admin/admin)

API Documentation

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

Development

1. Adding New Agents

   • Extend the BaseAgent class
   • Implement required methods
   • Register in AgentFactory

2. Adding Metrics

   • Use the MetricsCollector class
   • Define new metrics in metrics.py
   • Update Grafana dashboards

3. Custom Dashboards

   • Add JSON definitions in grafana/dashboards/
   • Update provisioning configuration

Testing

pytest tests/

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

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

Acknowledgments

• FastAPI for the backend framework
• React and Material-UI for the frontend
• Prometheus and Grafana for monitoring
• All contributors and users of this project