GDPR LLM Guard

A robust, enterprise-grade GDPR compliance framework for LLM agents. This library helps ensure your AI applications comply with GDPR requirements while interacting with language models.

Features

• 🛡️ GDPR Compliance

  • Automatic PII detection and filtering
  • Data retention controls
  • Audit logging
  • Legal basis tracking

• 🤖 LLM Integration

  • Support for multiple providers (OpenAI, GROQ)
  • Streaming responses
  • Conversation history management

• 📊 Privacy Controls

  • Configurable data retention periods
  • Sensitive data pattern matching
  • Data minimization

Installation

npm install gdpr-llm-guard

Quick Start

import { MedGuard } from 'gdpr-llm-guard';

// Initialize the GDPR-compliant guard
const guard = new MedGuard({
  apiKey: process.env.GROQ_API_KEY,
  model: 'mixtral-8x7b-32768',
  provider: 'groq',
  dataRetentionDays: 30,
  auditEnabled: true,
  maxRetentionPeriod: 90,
  sensitiveDataPatterns: [
    /\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b/, // Email addresses
    /\b\d{16}\b/, // Credit card numbers
  ],
});

// Process data with GDPR compliance
const result = await guard.processSensitiveData(userInput, {
  dataController: 'MyApp',
  processingPurpose: 'Customer Support',
  legalBasis: 'Legitimate Interest',
  sessionId: 'user123',
  retentionPeriod: 30
});

Examples

Check out the examples directory for:

• Simple chatbot implementation
• Financial advisor bot
• Haiku generator
• Web-based chat interface

GDPR Compliance Features

1. Data Protection

   • Automatic PII detection
   • Configurable retention periods
   • Secure data handling

2. Audit Logging

   • Track all data processing
   • Monitor compliance
   • Generate reports

3. Privacy by Design

   • Data minimization
   • Purpose limitation
   • Storage limitation

Configuration

interface MedGuardConfig {
  apiKey: string;
  model: string;
  provider: 'openai' | 'groq';
  dataRetentionDays: number;
  auditEnabled: boolean;
  maxRetentionPeriod: number;
  sensitiveDataPatterns: RegExp[];
}

Contributing

We welcome contributions! Please see our contributing guidelines for more details.

License

MIT License - see LICENSE file for details.