ModelRefs / Prompt Management — AI Glossary
Prompt Management — AI Glossary
Versioning, testing, and deploying prompts as first-class software artifacts with change history and staged rollouts.
Overview
Prompt management tools (LangSmith Hub, Braintrust, Langfuse) store prompt templates with version history, attach eval results, and enable A/B testing between prompt versions before production rollout.
Reference details
| Topic | operations |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
Commonly confused with
Prompt engineering is writing the prompt; prompt management is the operational layer around it — versioning, staged rollout, and knowing which version produced which result. The reason to separate them is that a prompt edit is a production change with no code diff, so without this layer a quality regression has no bisect path and no rollback.
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Frequently asked questions
What is Prompt Management?
Versioning, testing, and deploying prompts as first-class software artifacts with change history and staged rollouts.
What concepts are related to Prompt Management?
Closely related concepts include llmops, eval, prompt engineering.