I’m using DeepSeek through its API and want to compare outputs before and after a prompt change. Even when I send the same input, small differences can make a regression test noisy.

What settings or testing practices have helped you get more repeatable API outputs? I’m curious how much variation to expect from sampling settings, model updates, or any seed-related options, and how you separate a real prompt regression from ordinary run-to-run differences.