Agent-Driven Orchestration for RESTful Enterprise APIs

Abstract

Orchestration mechanisms in distributed enterprise systems must be adaptable to runtime variability and governed by compliance; however, static rule-based REST orchestration cannot handle transient failures, nondeterministic eligibility outcomes, and changing policies. This section describes the formal agent-based orchestration model that extends deterministic REST workflows by integrating controlled decision autonomy. The model has four agent classes: eligibility agents, routing agents, failure-handling agents, and governance agents, implemented as independent, stateless services. Evaluation in realistic and representative enterprise settings measures operational gains from context-aware decision support. These insights, adopted in smart traffic management systems, yield important reductions in processing inefficiencies. The results imply that controlled autonomy can be feasible for REST-based enterprise systems without forsaking the compliance, auditability, and HTTP semantics afforded by centralized authorization mechanisms. This article's proposed architecture thus seeks to provide organizations a balance between operational efficiency and architectural flexibility for data-intensive systems.