LLM Orchestration

LLM orchestration is the practice of coordinating multiple LLM calls, tool invocations, and data flows to accomplish complex tasks. It covers routing (which model handles which sub-task), sequencing (what order things happen), parallelisation (what can run simultaneously), fallback strategies (what happens when a model fails), and cost optimisation (using cheaper models for simpler sub-tasks). Good orchestration turns a collection of AI capabilities into a coherent system.