LLM orchestration refers to the process of managing, coordinating, and integrating large language models (LLMs) within applications, workflows, or systems to achieve specific goals. It involves overseeing how prompts are constructed, how context and memory are maintained, how multiple models or tools are combined, and how outputs are validated or routed. Essentially, LLM orchestration provides control and structure around LLM interactions so they produce consistent, reliable, and context-aware results in complex, real-world scenarios.