Agentic AI Operation of Constrained RESTful Environments

This document describes an architecture for AI agents that autonomously discover, interpret, and interact with Internet of Things (IoT) devices using the Constrained Application Protocol (CoAP) and hypermedia-driven patterns. It defines how a Large Language Model (LLM) based agent decomposes high-level user intents into concrete device interactions without requiring pre-configured device knowledge, relying instead on in-band resource discovery, CoRE Link Format metadata, and Semantic Definition Format (SDF) models. The document covers resource discovery, normalized representation for agent consumption, tool interfaces, observation patterns for closed- loop automation, web-based monitoring interfaces, and security considerations.