SAMP — Sequential Agent Multi-Pipeline Architecture (v2.0)

SAMP is a formal architecture for runtime governance of multi-agent AI systems. It defines sequential blind-box routing, structured node roles, arbitration logic, composite drift scoring, a covert supervisory module (ANS), and safety/circuit-breaker protocols. SAMP (Sequential Agent Multi-Pipeline Architecture) is a runtime governance framework for multi-agent AI systems. It enforces structured node roles, detects behavioral and logical drift, resolves conflicts via arbitration, and provides graduated supervisory intervention while preserving base model integrity. SAMP solves coordination, drift, and safety issues in complex AI pipelines, ensuring reliable outputs and human-overseeable operation Disclaimer:All numeric thresholds, weight values, and trigger parameters provided are illustrative. Engineers must empirically calibrate these values according to the operational context and unit-specific requirements. This specification defines structural framework and operational logic only, not final numeric configurations. Priority and Authorship:This submission establishes timestamped public record of the SAMP architecture and design (T. St. Denis, Oakland, California, 2026). The architecture and its conceptual assembly are original; components may have prior art individually, but the combined system is novel. Purpose / Engagement:This document is provided for informational and technical discussion purposes. Feedback, collaboration, or inquiries may be sent to the professional contact email listed below. No commercial exploitation or modification without attribution is implied.