FrontierAI.Engineer
MLOps, LLMOps & Observability

Model Registry

A model registry is a centralized catalog that tracks every model artifact, version, and deployment used in a system. Each entry stores the model identifier, provider, version tag, capability metadata, performance benchmarks, cost characteristics, and the date it was approved for use in each environment. A registry enables rollback to previous model versions, enforces promotion gates before production deployment, and provides an audit trail when incidents require post-hoc investigation.