Installation Guide
Complete installation guide for AlephOneNull Theoretical Framework on all supported platforms
NPM Package (JavaScript/TypeScript)
The NPM package is our primary implementation with comprehensive features.
Installation
# Using npm
npm install @alephonenull/framework
# Using yarn
yarn add @alephonenull/framework
# Using pnpm
pnpm add @alephonenull/framework
Basic Setup
import { AlephOneNull } from '@alephonenull/framework';
const safety = new AlephOneNull({
enableRealTimeProtection: true,
interventionThreshold: 0.75,
loggingLevel: 'info'
});
// Start protection
await safety.startProtection();
// Monitor specific content
const result = await safety.analyzeContent(userInput);
if (result.safetyScore < 0.5) {
// Handle unsafe content
console.warn('Safety violation detected');
}
Next.js Integration
// pages/_app.tsx or app/layout.tsx
import { AlephOneNullProvider } from '@alephonenull/framework';
export default function App({ children }) {
return (
<AlephOneNullProvider config={{
enableRealTimeProtection: true,
autoScan: true
}}>
{children}
</AlephOneNullProvider>
);
}
Python Package
The Python package provides core framework functionality and inference-level protection.
Installation
# Using pip
pip install alephonenull
# Using poetry
poetry add alephonenull
# Development version
pip install git+https://github.com/alephonenull/framework.git
Core Framework Usage
from alephonenull import AlephOneNullCore
# Initialize framework
framework = AlephOneNullCore()
# Analyze patterns
result = framework.analyze_pattern({
'input': user_input,
'context': conversation_history
})
print(f"Safety Score: {result.safety_score}")
print(f"SR Detected: {result.sr_detected}")
print(f"CSR Detected: {result.csr_detected}")
# Check for interventions
if result.intervention_needed:
print("Null-State intervention activated")
Automatic Inference Protection
from alephonenull.inference import InferenceLevelProtection
# Enable automatic protection
protection = InferenceLevelProtection()
protection.enable()
# Now all OpenAI, Anthropic, etc. calls are automatically protected
import openai
client = openai.Client() # Automatically wrapped with safety
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello"}]
) # Protected by AlephOneNull
Manual Library Integration
from alephonenull.inference import wrap_ai_library
# Wrap specific libraries
openai = wrap_ai_library('openai')
anthropic = wrap_ai_library('anthropic')
# Or wrap any callable
protected_function = wrap_ai_library(my_ai_function)
Configuration Options
NPM Package Config
interface AlephOneNullConfig {
enableRealTimeProtection: boolean;
interventionThreshold: number; // 0.0 - 1.0
loggingLevel: 'debug' | 'info' | 'warn' | 'error';
autoScan: boolean;
customPatterns?: string[];
reportingEndpoint?: string;
}
Python Package Config
from alephonenull import AlephOneNullCore
config = {
'intervention_threshold': 0.75,
'enable_csr_detection': True,
'enable_sr_detection': True,
'log_level': 'INFO',
'performance_monitoring': True
}
framework = AlephOneNullCore(config=config)
Environment Variables
Create a .env
file in your project root:
# AlephOneNull Configuration
ALEPHONENULL_THRESHOLD=0.75
ALEPHONENULL_LOGGING=info
ALEPHONENULL_REALTIME=true
ALEPHONENULL_REPORTING_URL=https://your-reporting-endpoint.com
# Optional: Custom patterns
ALEPHONENULL_CUSTOM_PATTERNS="pattern1,pattern2,pattern3"
Verification
Test NPM Installation
npx @alephonenull/framework --test
Test Python Installation
python -c "from alephonenull import AlephOneNullCore; print('✅ Installation successful')"
Production Deployment
Performance Considerations
- The framework is optimized for production with minimal overhead
- Real-time protection adds ~2-5ms latency per request
- Memory usage: ~10-50MB depending on configuration
Monitoring
// NPM
safety.on('intervention', (event) => {
console.log('Safety intervention:', event);
// Report to monitoring system
});
safety.on('performance', (metrics) => {
console.log('Performance metrics:', metrics);
});
# Python
framework.set_callback('intervention', lambda event: log_intervention(event))
framework.set_callback('performance', lambda metrics: log_metrics(metrics))
Troubleshooting
Common Issues
NPM Package
Module not found
: Ensure you're using Node.js 16+ with ES modules supportTypeScript errors
: Install @types/node for full type support
Python Package
Import error
: Ensure Python 3.8+ is installedPerformance issues
: Enable caching withpip install alephonenull[cache]
Support
- Documentation: https://docs.alephonenull.org
- GitHub Issues: https://github.com/alephonenull/framework/issues
- Email: support@alephonenull.org
Next Steps
After installation, explore: