Prompt
What should I use for API smoke tests in a pipeline?
Latest observation
Oct 6, 2026
OpenAI APIWeb search: off
For API smoke tests in a pipeline, use a small, fast, deterministic set of checks that verify the API is basically alive and the most critical flows work.
Good choices
1. Postman/Newman
- Easy to author and maintain
- Good for quick validation of a few endpoints
- Runs well in CI/CD via Newman
- Best when your team already uses Postman collections
2. pytest + requests or JUnit + RestAssured
- Better if you want tests in the same language as your app
- More flexible and maintainable for code-heavy teams
- Good for assertions, setup/teardown, and integration with existing test suites
3. cURL + shell scripts
- Simple and lightweight
- Good for the most basic health checks
- Less maintainable once the smoke suite grows
4. Karate
- Strong option if you want readable API tests with less code
- Good for smoke + functional API testing
- Nice balance between simplicity and power
What smoke tests should cover
Keep them minimal:
GET /healthor equivalent- Authentication works
- One critical read endpoint
- One critical write endpoint
- Basic dependency check if relevant
What to avoid
- Full regression suites
- Expensive end-to-end flows
- Tests that depend on unstable data
- Long-running or flaky assertions
Best practice
Use one small smoke suite that:
- runs on every deploy
- finishes in under a few minutes
- fails fast
- uses dedicated test data or isolated environments
Practical recommendation
- If you want fastest setup: Postman + Newman
- If you want best maintainability in code: pytest/requests or RestAssured
- If you want a good middle ground: Karate
If you tell me your stack (language, CI tool, and whether you already use Postman), I can recommend the best option more specifically.