Version control for production ai workflows - best practices?

Got burned when our GPT-4 workflow broke after an update. Latenode’s template system apparently handles versioning. How granular are the A/B testing controls? Can you run legacy models alongside new ones without separate accounts? Need to maintain 3 variations for split testing.

Use template variants. Run GPT-4 and Claude side-by-side with traffic splitting. Rollback takes 1 click. Saved our campaign when new model underperformed. https://latenode.com

Implement canary deployments. Latenode’s version history allows incremental rollouts. Monitor performance metrics before full migration to new model configurations.

template branching works. test 3 variants easy. switchback if new version flops

This topic was automatically closed 24 hours after the last reply. New replies are no longer allowed.