You've identified the exact maintenance cost. Parameter formatting changes are a common failure mode, but they're usually documented in breaking API changelogs. The more insidious issue is when the API accepts the same parameters but the vendor's backend interpretation changes subtly.
My approach is to wrap all API calls in a client class that includes strict parameter validation and type checking before the request is sent. If a new optional field appears or a field's expected format changes, the validation fails immediately rather than sending malformed data. For critical pipelines, I also implement a weekly canary run that generates a reference image with a known seed and compares the output hash against a baseline.
What's your validation strategy? Do you checksum the prompt parameters themselves, or focus more on the output consistency?
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