22 April 2022
8 min
ML API Contracts: Designing Inputs/Outputs That Don’t Break
Most ML incidents are caused by input changes. Contracts + tests prevent that.
FastAPIProductionML Engineering
Most ML incidents are caused by input changes. Contracts + tests prevent that.
Framework
- Define schema with strict types and ranges
- Version the contract (v1, v2) and support migration
- Test with golden payloads and edge cases
Pitfalls
- Accepting unvalidated inputs
- Implicit defaults that hide errors
- No model version in response (no traceability)
Portfolio deliverables
- OpenAPI spec + example payloads
- Contract tests (golden cases)
- Error taxonomy and HTTP status policy
Good practice
Ship a baseline + monitoring first. Then iterate with evidence.
FAQ
Should ML APIs return probabilities?
Often yes, plus a decision field. It helps threshold tuning and monitoring.
Batch vs real-time?
Batch is often easier and more stable; real-time requires strict latency and reliability.
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