LLMOps focuses on the realities of LLM-powered systems: prompts, model selection, retrieval quality, hallucination control, latency, cost, evaluation, safety, and output consistency.
For agent systems, LLMOps is a key operating layer. The business needs to know whether the model is producing reliable outputs, whether retrieval is working, whether costs are rising, whether prompts changed, and whether updates have broken workflows that used to work.