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AI Prompt Engineering · Lesson

Prompt Registry Architecture

Storing prompts as versioned artifacts with metadata and tags.

Why a Prompt Registry?

Without a registry, prompts live scattered in code, config files, and developer memory. A prompt registry is a centralized store that treats every prompt as a versioned, trackable artifact — just like software code.

Benefits include reproducibility, auditability, rollback capability, and team collaboration.

Core Prompt Artifact Fields

Each prompt artifact should carry these fields:

  • prompt_id — unique stable identifier (e.g. summarize-article)
  • version — semantic version string (e.g. 2.1.0)
  • template — the actual prompt text with {variable} placeholders
  • metadata — author, tags, target model, created_at, description

All lessons in this course

  1. Prompt Registry Architecture
  2. Version Control for Prompts
  3. Deployment and Rollback Strategies
  4. Monitoring Prompt Performance in Production
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