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AEGIS: Enterprise PII Masking & Secure LLM Gateway (Active Beta / WIP)
Architecting a model-agnostic, privacy-first AI interface designed for strict data compliance. AEGIS selectively intercepts and masks PII (Personally Identifiable Information) before the payload reaches external LLMs.
Core Architecture & Features:
Granular PII Engine: Automated selective pseudonymization with manual token override (Brush tool for custom inclusion/exclusion).
Dual RAG System: Ephemeral Session-RAG for active context, and persistent Knowledge Base RAG for long-term memory retrieval.
Stateful Chat Retrieval: Hash-based code injection to instantly load and vectorize past conversations into the active prompt box.
Model-Agnostic Privacy: Seamlessly switch between top-tier LLMs while maintaining the local data-masking shield.
Analytics & Benchmarking: Built-in model benchmarking, real-time token consumption tracking, and modular feature-toggling via admin panels.
Native Multilingual: Engineered for English, Spanish, Italian, and Catalan.
Current Status: WIP / Active Beta. Currently debugging state management and stabilizing the RAG pipelines before production release.
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