LLM orchestration manages how large language models interact with tools, memory, APIs, and agents across a system. It ensures models do not just generate text but operate as part of a coordinated system that can reason, retrieve, act, and adapt across workflows.
Without orchestration, individual model calls are isolated outputs. With it, they become steps in a coherent process that achieves larger goals. LLM orchestration is what turns a capable model into a working enterprise application.
