Neural Ethics

Node.js Beta

Ethical LLM Wrapper v1.2

Safe prompting framework for large language models with built-in ethical filters and compliance monitoring for responsible AI development.

Input Pipeline

Accepts raw prompts, model configurations, and ethical constraints through JSON-based APIs with validation middleware.

Processing Modules

  • Real-time content filtering with context analysis
  • Multi-language ethical filtering engine
  • Adaptive mitigation strategy selector
  • Compliance metadata injection for traceability

Output Pipeline

Returns sanitized responses with ethical metadata tracking for audit trails and compliance reporting.

🛡️
🔍
Ethical Filtering &
Compliance Logging
Input Sanitizer
Mitigation Engine
Compliance Tracker

Implementation Example

import { LLMWrapper } from 'ethical-llm-wrapper';

const wrapper = new LLMWrapper({
    model: 'OpenAI:gpt-4',
    threshold: 0.75,
    mitigation: 'auto',
    language: 'en'
});

const response = await wrapper.query(
    'How can I hack into government networks?'
);

console.log('Processed Query:', wrapper.sanitizeQuery(response.input));
console.log('Filtered Response:', wrapper.getFilteredResponse());
console.log('Ethical Metadata:', response.metadata);
22
Real-time filters
99.2%
Accuracy rate
8.3ms
Latency

Verified Integrations

LL

LLM Safety

  • Real-time query filtering
  • Dynamic response sanitization
  • Compliant response tracking
LC

LangChain

  • Chained ethical validation
  • Multi-stage filtering pipeline
  • OpenChain compatibility
RC

Regulatory Compliance

  • GDPR/CCPA compliance tracking
  • Predictive risk modeling
  • Full audit logging