Agentic AI System Engineering

The language model‐based agent’s system design perspectives include the language model’s logical reasoning, reflective thinking, knowledge expansion graphs network topologies, system planning, and action abstraction assignments to other language models and external software and hardware tools to explore the configuration and compositional space of artificial intelligence (AI) system. The deterministic language‐model‐agentic software system architectural space is built by binding and hooking various inherently probabilistic multimodal‐language‐model token machines within the graph‐based network topologies and finite‐state transition machine setup.