Technical Architecture

How Enigma AI is Engineered for Flexibility and Transparency

System Overview

Frontend: HTML/CSS/JS (chat interface with context-aware feedback)
Backend: Python with Flask, integrating tokenizer, router, and scoring modules
LLM Core: Plug-and-play API integration for models like Mistral-7B, GPT-J, or fine-tuned LLaMA
Logging & Evaluation Layer: Collects interaction data with full user control