Model Versioning

Model Versioning refers to pinning model versions and tracking upgrades to prevent unexpected behavior shifts. Teams use it to diagnose retrieval failures, manage cost/latency, and prevent regressions. Operational maturity lets teams update prompts and models without destabilizing user-facing behavior. Useful signals include retrieval hit rate, citation coverage, latency by stage, and tool-call success rates. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI