Agent Orchestration
Agent orchestration studies how multi-step agents are scheduled and coordinated: task decomposition, state handoff, branching logic, and human intervention points — helping readers see the engineering skeleton of complex agent systems.
Agent orchestration asks how multi-step agents can be scheduled reliably: who runs first, how state is passed along, where execution rolls back on failure, and at which nodes humans step in. Common implementations range from graph frameworks to state machines to event-driven pipelines — examples include LangGraph, AutoGen, and CrewAI. It marks the line between agent demos and production systems.
