VIGÍA 4+1: Mitigating LLM Sycophancy and Normative Bias in Requirements Engineering via Deterministic Agentic Orchestration

This paper presents the VIGÍA 4+1 Protocol, a deterministic agentic orchestration framework designed to mitigate Large Language Model (LLM) sycophancy and normative bias in requirements engineering. By decoupling the LLM from the application state through a Finite State Machine (FSM) implemented in .NET 10, we enforce Domain-Driven Design (DDD) constraints. The framework introduces a novel "Cognitive Try/Catch" layer utilizing a Negative Acknowledgment (NACK) mechanism and a Structured State Vector (SSV) for context persistence. Empirical simulations demonstrate that VIGÍA 4+1 reduces the Sycophancy Rate from 84.0% to a residual 2.0%, achieving a 73.8% reduction in token consumption compared to standard Chain-of-Thought (CoT) implementations. The results validate the feasibility of deploying high-integrity autonomous software architectures on consumer-grade high-end hardware.