prompt-version-management

Safely roll out prompt changes by applying semantic versioning, running A/B tests for measurable evaluation, and using canary deployment stages with automatic rollback on threshold failure to prevent production regressions.

Set up an A/B test for prompt variants by applying deterministic user assignment to control and variant groups, recording structured metrics, and running statistically sound significance checks to identify measurable improvements.

Prompt versioning tracks instruction changes using semantic MAJOR, MINOR, and PATCH bumps. Prompt diffing compares versions against a changelog history to keep agent releases predictable and auditable.

Canary deployment for LLM prompts gates rollout traffic stages using an evaluator with specific thresholds. It automatically rolls back changes if metric regressions are detected during the deployment.

Manage an active prompt registry by storing prompt versions with metadata and hashes, retrieving the active prompt per agent, and supporting direct comparisons between versions.

Prevent agent instruction regressions by combining semantic versioning with prompt diffing, gated canary traffic stages, and automated evaluation that triggers rollback when threshold failures occur.