Pydantic

Your pipeline ran successfully. The data was wrong. Here’s why input validation isn’t optional — and how to build a gate that actually holds.

You probably use Pydantic for config validation. That’s fine — but it’s only half the story. Here’s how to use it as a structural safety net across your entire pipeline.

Load your YAML/TOML config files into validated, typed Python objects. No more silent typos, no more runtime surprises.