LLMOps
LLMOps is a discipline derived from MLOps, dedicated to the specifics of operating LLM-based applications in production: managing prompts like code, continuous evaluation, observability of model calls, token cost manage…
LLMOps is a discipline derived from MLOps, dedicated to the specifics of operating LLM-based applications in production: managing prompts like code, continuous evaluation, observability of model calls, token cost management, monitoring hallucinations and drift, deploying versioned prompts or models.
It covers cross-cutting tooling: prompt versioning (Promptfoo, PromptLayer), evaluation (Braintrust, Humanloop, LangSmith), observability (Langfuse, Helicone, Arize), secrets management and rate limiting — plus the full RAG stack (vector databases, ingestion, retrieval).
It is one of the hottest topics in 2026: shipping a POC is easy; operating an LLM at scale and securely is still the real challenge.