Tag: Inefficient Tool Loops

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 […]