LLM orchestration is the process of managing how a large language model interacts with other components in a workflow, such as APIs, databases, tools, and other AI agents. It ensures that the model doesn’t simply generate text in isolation, but instead retrieves relevant data, executes actions, and adapts based on results. Orchestration is critical for embedding LLMs into complex enterprise workflows where multiple systems and decision points must be coordinated for success.