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.
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Ethical Filtering &
Compliance Logging
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