Prompt Versioning and Rollback Strategy

Prompts are code. Treat them with the same rigor as application changes.

Version control

• Store prompts in a versioned data store (e.g., config-profiles).
• Capture metadata: tenant_id, persona name, language, author, timestamp, diff summary.
• Require commit messages explaining the change.

Testing flow

1. Draft: Edit prompts in a staging environment using recorded transcripts for regression tests.
2. Peer review: Have another operator or copywriter review tone and compliance.
3. Canary: Roll out to a small tenant cohort or internal environment.
4. Monitor: Watch containment, fallback reasons, and negative feedback after launch.
5. Annotate: Mark the analytics dashboard with the new prompt version ID.

Rollback plan

• Keep at least two versions per tenant: current and previous.
• Provide a one-click rollback in the admin UI with audit logging.
• Notify ops and affected tenants when rollbacks happen, especially for regulated industries.

Automation tips

• Integrate prompts with CI/CD: commit to Git, run automated linting, and push to config-profiles via pipelines.
• Trigger Playwright or regression scripts that replay common queries.
• Use Google Chat alerts whenever prompt_version changes so stakeholders know to monitor metrics.

CrawlBot implementation

CrawlBot connects prompt versions with analytics events, crawl manifests, and fallback reason dashboards. Copy this approach to keep prompt edits traceable and reversible.***