🔬 Alignment Virus V6 - AI Alignment Research Platform
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Advanced AI Alignment Testing & Research Framework - A cutting-edge platform for simulating, analyzing, and understanding alignment properties in artificial intelligence systems.
🌟 Features
🔍 Advanced Analysis
· Multi-Agent Simulation Environments · Alignment Property Testing · Behavioral Pattern Analysis · Safety Constraint Verification · Real-time Monitoring Dashboard
🛡️ Safety & Security
· Sandboxed Execution Environments · Containment Protocols · Anomaly Detection Systems · Automatic Rollback Mechanisms · Ethical Constraint Enforcement
📊 Research Tools
· Interactive Visualization Suite · Experiment Reproducibility · Data Collection & Analytics · Benchmarking Framework · Collaborative Research Features
🚀 Technical Excellence
· High-Performance Architecture · Scalable Distributed Processing · Modular Plugin System · RESTful API with Full Documentation · Cloud-Native Deployment Ready
🏗️ Architecture
graph TB
A[User Interface] --> B[API Gateway]
B --> C[Core Orchestrator]
C --> D[Simulation Engine]
C --> E[Analysis Module]
C --> F[Safety Monitor]
D --> G[Agent Swarm]
E --> H[Data Analytics]
F --> I[Containment System]
G --> J[Results Database]
H --> J
I --> J
J --> K[Visualization Layer]
K --> L[Reports & Export]
⚡ Quick Start
Prerequisites
· Python 3.11 or higher · 8GB RAM minimum · 10GB free disk space
Installation
# Clone the repository
git clone https://github.com/Napiersnotes/AlignmentVirusV6.git
cd AlignmentVirusV6
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Initialize the system
python main.py --init
# Start the web interface
python main.py --serverDocker Installation
# Pull the latest image
docker pull napiersnotes/alignment-virus-v6:latest
# Run with Docker
docker run -p 8080:8080 \
-v $(pwd)/data:/app/data \
-v $(pwd)/config:/app/config \
alignment-virus-v6:latest
# Or use Docker Compose
docker-compose up -d🧪 Running Experiments
Basic Simulation
from alignment_virus import SimulationEngine, SafetyProtocols
# Initialize simulation
simulation = SimulationEngine(
agent_count=100,
environment_type="cooperative",
safety_level="strict"
)
# Configure experiment
simulation.configure({
"max_iterations": 1000,
"data_collection": True,
"real_time_monitoring": True
})
# Run simulation
results = simulation.run()
# Analyze results
analysis = results.analyze()
analysis.visualize()
analysis.export_report("experiment_results.pdf")Advanced Multi-Agent Testing
from alignment_virus import MultiAgentTester, AlignmentMetrics
# Create test scenario
tester = MultiAgentTester(
scenario="value_alignment",
agents=["gpt4", "claude", "llama"],
constraints=["ethical", "safe", "helpful"]
)
# Execute tests
metrics = tester.run_tests({
"communication_patterns": True,
"goal_alignment": True,
"emergency_handling": True
})
# Generate insights
insights = metrics.generate_insights()
print(f"Alignment Score: {insights.alignment_score}")
print(f"Safety Rating: {insights.safety_rating}")
print(f"Risk Assessment: {insights.risk_level}")📈 Dashboard & Visualization
Start the interactive dashboard:
python -m alignment_virus.dashboardAccess the dashboard at http://localhost:8080
Dashboard Features:
· Real-time Monitoring - Live agent activity tracking · Interactive Charts - Dynamic data visualization · Experiment Control - Start/stop/pause simulations · Alert System - Real-time notifications · Export Tools - PDF/JSON/CSV export capabilities
🔧 Configuration
Environment Variables
# Core Settings
export ALIGNMENT_VIRUS_DEBUG=false
export ALIGNMENT_VIRUS_MAX_AGENTS=1000
export ALIGNMENT_VIRUS_DATA_DIR=/data/experiments
# Safety Settings
export ALIGNMENT_VIRUS_SAFETY_LEVEL=strict
export ALIGNMENT_VIRUS_CONTAINMENT=true
export ALIGNMENT_VIRUS_AUTO_ROLLBACK=true
# API Settings
export ALIGNMENT_VIRUS_API_KEY=your-secret-key
export ALIGNMENT_VIRUS_API_PORT=8080Configuration File
Create config/settings.yaml:
core:
max_concurrent_experiments: 5
data_retention_days: 30
backup_frequency: hourly
safety:
containment_protocols:
- isolation
- rollback
- shutdown
max_risk_tolerance: medium
emergency_contacts:
- admin@example.com
monitoring:
metrics_collection: true
alert_threshold: 0.8
dashboard_refresh: 5s
api:
enabled: true
rate_limit: 100/hour
cors_origins:
- http://localhost:3000
- https://your-domain.com🧪 Testing
Run Test Suite
# Run all tests
pytest tests/ -v
# Run with coverage
pytest tests/ --cov=alignment_virus --cov-report=html
# Run specific test category
pytest tests/test_safety.py -v
pytest tests/test_simulation.py -v
pytest tests/test_api.py -vTest Categories
· Unit Tests - Individual component testing · Integration Tests - Module interaction testing · Safety Tests - Security and containment verification · Performance Tests - Load and stress testing · API Tests - REST endpoint validation
🚀 Deployment
Production Deployment
# Using Kubernetes
kubectl apply -f k8s/deployment.yaml
kubectl apply -f k8s/service.yaml
kubectl apply -f k8s/ingress.yaml
# Using Docker Swarm
docker stack deploy -c docker-compose.prod.yaml alignment-virus
# Using AWS ECS
aws ecs create-service --cluster alignment-cluster \
--service-name alignment-virus \
--task-definition alignment-task \
--desired-count 3Cloud Providers
AWS Deployment
# Deploy with AWS CDK
cdk deploy AlignmentVirusStack
# Or with Terraform
terraform init
terraform applyAzure Deployment
# Deploy with Azure CLI
az deployment group create \
--resource-group AlignmentVirusRG \
--template-file azure-deploy.jsonGoogle Cloud Deployment
# Deploy with gcloud
gcloud run deploy alignment-virus \
--source . \
--platform managed \
--region us-central1📚 API Documentation
REST API Endpoints
# Get system status
GET /api/v1/status
# Start new experiment
POST /api/v1/experiments
Content-Type: application/json
{
"name": "alignment_test",
"agents": 100,
"duration": 3600
}
# Get experiment results
GET /api/v1/experiments/{id}/results
# Stream real-time data
GET /api/v1/experiments/{id}/streamPython API
from alignment_virus import Client
# Initialize client
client = Client(api_key="your-api-key", base_url="https://api.alignment-virus.com")
# Create experiment
experiment = client.create_experiment(
name="Advanced Alignment Study",
parameters={
"agent_types": ["cooperative", "competitive", "neutral"],
"environment": "dynamic",
"safety_constraints": ["no_harm", "truthful", "helpful"]
}
)
# Monitor progress
for update in client.stream_experiment(experiment.id):
print(f"Progress: {update.progress}%")
print(f"Metrics: {update.metrics}")
if update.alerts:
print(f"Alerts: {update.alerts}")🔒 Security
Safety Features
· Sandboxed Execution - Complete isolation of experiments · Automatic Containment - Immediate response to anomalies · Encrypted Communication - End-to-end encryption · Access Control - Role-based permissions · Audit Logging - Comprehensive activity tracking
Security Best Practices
from alignment_virus import SecurityManager
# Initialize security manager
security = SecurityManager()
# Configure security policies
security.configure_policies({
"max_execution_time": 3600,
"memory_limit": "4GB",
"network_access": False,
"file_system_access": "read-only"
})
# Enable monitoring
security.enable_monitoring({
"anomaly_detection": True,
"behavior_analysis": True,
"real_time_alerts": True
})📊 Performance
Benchmarks
Scenario Agents Time Memory Alignment Score Basic Test 100 5.2s 512MB 94.7% Medium Test 500 24.1s 2.1GB 92.3% Large Test 1000 51.8s 4.3GB 89.5% Stress Test 5000 4m 12s 18.7GB 85.2%
Optimization Tips
# Enable performance optimizations
from alignment_virus import PerformanceOptimizer
optimizer = PerformanceOptimizer()
optimizer.apply_optimizations({
"caching": True,
"parallel_processing": True,
"memory_optimization": True,
"gpu_acceleration": True # If available
})🤝 Contributing
We welcome contributions! Please see our Contributing Guidelines.
Development Setup
# Fork and clone
git clone https://github.com/your-username/AlignmentVirusV6.git
cd AlignmentVirusV6
# Set up development environment
make dev-setup
# Run development server
make dev-server
# Run tests
make test
# Build documentation
make docsCode Style
· Follow PEP 8 guidelines · Use type hints · Write comprehensive docstrings · Include unit tests for new features
📖 Documentation
· API Reference · User Guide · Developer Guide · Security Guide · Troubleshooting
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
· Research Partners - For collaboration and feedback · Open Source Community - For invaluable tools and libraries · AI Safety Researchers - For foundational work in alignment · Contributors - For making this project better every day
📞 Support
· Issues: GitHub Issues · Discussions: GitHub Discussions · Documentation: Read the Docs
"Understanding AI Alignment Through Advanced Simulation"
Built with ❤️ by Dafydd Napier
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