A comprehensive platform for managing, monitoring, and evaluating AI agents with blockchain-based accountability and token rewards.

• Beautiful UI/UX: Modern dark theme with smooth animations and responsive design
• Real-time Updates: Live agent monitoring with WebSocket support
• Interactive Dashboard: Comprehensive analytics and performance metrics
• Mobile Responsive: Works seamlessly on all device sizes

• Agent Types: Support for different agent specializations:
  • General Purpose
  • Financial Advisor
  • Medical Assistant
  • Legal Advisor
  • Technical Support
• Agent Management: Create, configure, and monitor multiple agents
• Agent Discovery: Easy agent selection and switching

• Smart Contract Integration: Blockchain-based token rewards and penalties
• Real-time Evaluation: Instant feedback on agent actions
• Token Balance Tracking: Live updates of agent token balances
• Performance Incentives: Reward good behavior, penalize bad actions

• Performance Metrics: Success rates, action counts, and trends
• Leaderboard: Rank agents by performance and token balance
• Action Timeline: Complete history of agent activities
• Real-time Logs: Comprehensive logging with filtering

• Action Logging: Record all agent inputs and outputs
• IPFS Storage: Decentralized storage for action records
• Hash Verification: Cryptographic verification of actions
• Audit Trail: Complete traceability of agent decisions

• RESTful API: Comprehensive endpoints for all operations
• Database Integration: PostgreSQL for persistent storage
• Blockchain Integration: Web3.py for smart contract interaction
• IPFS Integration: Decentralized file storage

• Modern CSS: Custom design system with CSS variables
• Component-based: Modular JavaScript architecture
• Real-time Updates: Live data synchronization
• Progressive Enhancement: Works without JavaScript

• Agent Registry: Track registered agents
• Action Recording: Store action hashes and metadata
• Token Management: Points-based reward system
• Event Logging: Comprehensive event emission

• Python 3.8+
• Node.js 16+
• PostgreSQL
• Ethereum node (local or remote)

1. Clone the repository

   git clone <repository-url>
   cd agent-accountability-platform

2. Install backend dependencies

   cd backend
   pip install -r requirements.txt

3. Install frontend dependencies

   npm install

4. Set up environment variables

   cp backend/.env.example backend/.env
   # Edit backend/.env with your configuration

5. Set up database

   createdb agent_accountability
   psql agent_accountability < backend/db.sql

6. Deploy smart contract

   npx hardhat compile
   npx hardhat run scripts/deploy.js --network localhost

7. Start the application

   # Terminal 1: Start backend
   cd backend
   python main.py
   
   # Terminal 2: Start frontend
   cd frontend
   python -m http.server 8080

8. Access the application Open http://localhost:8080 in your browser

1. Click "Add Agent" in the sidebar
2. Fill in agent details (name, type, description)
3. Agent is automatically registered on the blockchain

1. Select an agent from the sidebar
2. Fill in the action form with:
   • Model information
   • Dataset details
   • Input/output JSON
   • Additional notes
3. Click "Log Action" to record the action

1. View the action timeline
2. Click "Good" or "Bad" for each action
3. Tokens are automatically adjusted via smart contract
4. View updated balances in real-time

1. Switch to the "Analytics" tab
2. View performance metrics and charts
3. Check the leaderboard for rankings
4. Monitor success rates and trends

• GET /agents - List all agents
• POST /agents - Register new agent
• GET /agents/{address}/actions - Get agent actions
• POST /agents/{address}/actions - Log agent action
• POST /agents/{address}/evaluate - Evaluate agent action

• GET /agents/{address}/analytics - Get agent analytics
• GET /leaderboard - Get agent leaderboard
• GET /agent-types - Get available agent types

• GET /health - System health check
• GET /ipfs/{cid} - Retrieve IPFS content
• POST /log-action - Log action (legacy)

1. Update backend/main.py - get_agent_types() endpoint
2. Add type configuration with capabilities and thresholds
3. Update frontend to handle new types

• Modify frontend/styles.css for visual changes
• CSS variables in :root for easy theme customization
• Responsive breakpoints for different screen sizes

• Extend contracts/AgentVerifier.sol for new features
• Add new events and functions as needed
• Update ABI and redeploy

• Input Validation: All inputs are validated and sanitized
• Access Control: Smart contract functions are protected
• Data Integrity: Cryptographic hashing ensures data integrity
• Audit Trail: Complete logging of all operations

1. Use a production database (PostgreSQL)
2. Deploy smart contract to mainnet/testnet
3. Use production IPFS node
4. Configure proper CORS settings
5. Set up monitoring and logging

docker-compose up -d

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

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

• Built with FastAPI, Web3.py, and modern web technologies
• Smart contract based on OpenZeppelin standards
• UI inspired by modern design systems

For questions and support, please open an issue on GitHub or contact the development team.

Note: This is a demonstration platform. For production use, ensure proper security audits and testing.