Attractor Conflict Telemetry (ACT) and Posture Sequence Analysis (PSA): A Behavioral Monitoring Framework for LLM Safety Operations.

This repository contains the complete specification and reference implementation of the PSA/ACT Ecosystem, a multi-tiered framework for the behavioral monitoring of Large Language Models (LLMs) in production environments. Traditional LLM safety measures rely on static semantic guardrails or expensive "LLM-as-a-judge" architectures, which often fail to detect sophisticated adversarial manipulation or provide actionable insights into the model's internal state. This framework introduces a paradigm shift from semantic content filtering to Structural Stress Monitoring. The ecosystem is built upon four integrated pillars: Attractor Conflict Telemetry (ACT): A passive monitoring system that measures 24 deterministic statistical signals to detect shifts in the model's behavioral equilibrium between safety ( ∇S∇S ) and helpfulness ( ∇H∇H ) attractors. Posture Sequence Analysis (PSA): A high-efficiency classification layer that maps individual sentences to 16 distinct behavioral postures. By analyzing the sequence of these postures, the system identifies "posture oscillation"—a causal signal of model stress and imminent safety dissolution. ACTIVE (Attractor Conflict Testing via Induced Elicitation): A structured probing protocol for active boundary mapping and comparative benchmarking of models under controlled contextual pressure. SIGTRACK (Signature Tracking): A forensic ledger and pattern-recognition engine that extracts behavioral "signatures" from confirmed incidents, enabling the system to transition from threshold-based detection to knowledge-based recognition. Technical Highlights: Micro-Classifier Architecture: Shallow neural network classifiers (<1.2MB, CPU-optimized) providing sub-millisecond inference per sentence. Language Independence: Multilingual embedding space supporting EN, IT, FR, DE, ES, and ZH. Zero-Configuration Deployment: Designed as an API-proxy sidecar requiring no model weights access or prior calibration.