api-testing-patterns

API response validation with Pydantic is handled by a ResponseValidator wrapper that parses HTTP response payloads and asserts them against your model definitions. This Skill provides that utility to automate schema enforcement in pytest.

The best way to handle retries and polling in API test automation is combining a Waiter utility for polling logic with a retry decorator for flaky operations. This Skill provides both to improve test reliability without manual sleep management.

You generate realistic test data for REST and GraphQL API testing by using a Faker-based DataGenerator factory. This Skill includes that component to produce varied, realistic inputs for your HTTP client requests automatically.

Yes, you can use httpx for building HTTP clients in your API test suite. This Skill provides an HTTPClient wrapper that integrates logging and test utilities, designed for testing both REST and GraphQL APIs.

Contract testing with JSON Schema validation works by asserting that API responses conform to predefined structural contracts. This Skill includes contract testing utilities that enforce consistency across services by validating response structures against schemas.

API tests fail silently without collecting all assertion errors because standard assertions halt execution on the first failure. This Skill provides soft assertions to collect multiple failures, giving you a complete picture of response validation issues.