Hierarchical Topology for Language Model Coordination

This document defines a YANG data model and reference architecture for a hierarchical topology of language models (LMs), where tiny, small, and large LMs cooperate to perform distributed inference, summarization, and decision-making. The model supports secure inter-node messaging, request escalation, token-based authorization, and decentralized validation using pluggable trust models. This architecture is designed for deployments where computational capabilities vary across nodes, such as edge-to-cloud environments or multi-tier AI systems. The goal is to provide a standards-based mechanism for orchestrating scalable, secure LM interactions across heterogeneous systems.