LLMOps

LLMOps applies production engineering practices to systems built with large language models. The scope extends beyond hosting a model: teams manage prompts, model versions, retrieval indexes, evaluation sets, tool schemas, guardrails, user feedback, costs, latency, and observability. Because model outputs are probabilistic, conventional software tests are supplemented with scored examples, human review, adversarial testing, and monitoring of behavior distributions. LLMOps also covers privacy, access control, rollback, incident response, and comparison of vendor or open-weight models. A mature process makes changes reproducible and measurable so a prompt edit, model upgrade, or knowledge-base update does not silently degrade important use cases.