license: apache-2.0

BridgeLang (v0.1 Alpha)

BridgeLang (v0.1 Alpha)

🚀 Overview

• The Problem: LLMs are powerful but probabilistic. Asking an AI to "Stop System" might result in a conversational response rather than an immediate halt.
• The Solution: BridgeLang intercepts critical commands at the Tier Core (tc) layer, executing them immediately via hard-coded logic, while passing nuanced context (Tier 1) to a fine-tuned FLAN-T5 model.

🧠 Architecture

1. User Input: Natural Language ("System, stop the process immediately.")
2. Interceptor Layer (BridgeLang Core): Scans for tc keywords.
   • Detected: Stop -> tc.cmd.stop (Priority: CRITICAL)
3. Neural Layer (Context Engine): Passes remaining context to AI.
   • Detected: process -> t1.task.action.process
4. Executor Layer: deterministic execution of the SIGS protocol.

📂 Repository Structure

• core-logic/: Python interceptors and executors.
• models/: Fine-tuned FLAN-T5 model for SIGS protocol translation.
• data/: Master Lexicon (v2.0).

🛠️ Usage