LLM orchestration manages the coordination, execution flow, and state management of AI agents and multi-step LLM workflows in production systems. It handles agent communication, task routing, and decision-making logic to ensure reliable, scalable applications that combine multiple models, tools, and data sources. The discipline spans workflow frameworks, coordination patterns, and execution strategies that balance autonomy with predictability.