In the commercial scaling of autonomous agent architectures, operational profitability is determined by internal computational discipline rather than baseline API pricing. Unlike deterministic microservices, an autonomous agent functions as a stochastic decision loop—such as ReAct, Plan-and-Solve, or Reflexion. The model formulates intermediate reasoning notes (scratches or chain-of-thought traces), constructs JSON tool parameters dispatched via the […]