FrontierAI.Engineer
MLOps, LLMOps & Observability

Prompt Versioning

Prompt versioning treats system prompts and few-shot examples as versioned artifacts stored in a prompt registry, enabling teams to track changes over time, roll back regressions, and run A/B experiments between prompt versions. Without versioning, prompt changes are invisible in code history, making it impossible to attribute quality changes to a specific edit. Production-grade prompt versioning systems record which model version, temperature, and token budget was in effect alongside each prompt version.