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The Minimum Viable Prompt Management System
- Store in code: YAML or JSON files in git. Never hardcoded in application logic.
- Version with semver: prompt@v1.2.3. Major = breaking change. Minor = improvement.
- Pin versions: Application explicitly loads prompt@v1.2, not "latest."
- Test before merge: Run golden dataset evaluation against any prompt change.
- Stage before production: Deploy to staging, run live traffic sample, compare to production.
Prompt Registry Tools
| Tool | Features |
|---|---|
| LangSmith | Prompt hub, version history, playground |
| Langfuse | Open-source prompt management + tracing |
| PromptLayer | Request logging, version tracking |
| Git + YAML | Simple, free, works for most teams |
Golden Dataset Testing
Maintain 20–100 representative inputs with expected outputs. Run every prompt change against this dataset. Track pass rate over time. This is your regression test suite for AI behaviour.
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Ajay Prajapat (2025-04-18). Prompt Version Control: Managing Prompts Like Code. https://innovatewithajay.com/blogs/prompt-version-control