Prompt
I'm building a release pipeline and need smoke tests for APIs
Latest observation
Oct 6, 2026
OpenAI APIWeb search: off
A good API smoke test suite for a release pipeline should be:
- Fast: finishes in seconds to a few minutes
- Deterministic: avoids flaky external dependencies
- Critical-path only: validates the app is basically alive and the main endpoints work
- Safe: uses read-only or disposable test data whenever possible
What to include in API smoke tests
1) Health and readiness
These are the first checks.
GET /healthGET /ready- Optional:
GET /versionorGET /build-info
Validate:
- HTTP 200
- response body format is correct
- build/version matches expected deploy artifact if available
2) Authentication
If your API requires auth, verify tokens and access work.
POST /loginor token exchange endpoint- call one protected endpoint with the token
Validate:
- token issued successfully
- protected endpoint returns 200/403 as expected
- token expiration/claims are sane if relevant
3) Core business flow
Pick 1–3 most important paths only.
Examples:
- create resource
- fetch resource
- update resource
- delete resource
Typical pattern:
POST /itemsGET /items/{id}PATCH /items/{id}DELETE /items/{id}
Validate:
- correct status codes
- response schema is valid
- resource lifecycle works end-to-end
4) Dependency sanity
Only if critical and cheap.
- DB-backed endpoint
- cache-backed endpoint
- message queue publish/consume trigger
- external dependency mocked or contract-tested, not full integration unless necessary
5) Basic error handling
One negative test per critical endpoint is enough.
- invalid input returns
400 - unauthorized returns
401/403 - missing resource returns
404
Recommended smoke test structure
A simple release gate might look like:
GET /health→ 200GET /ready→ 200- Authenticate → success
GET /meor similar protected endpoint → 200POST /resource→ 201GET /resource/{id}→ 200DELETE /resource/{id}→ 204
Good practices
- Use a dedicated test account/tenant
- Clean up created data or use a disposable environment
- Keep tests idempotent where possible
- Add timeouts and retries sparingly for transient startup issues only
- Run smoke tests after deploy and before traffic shifting/approval
- Fail fast on the first critical error
Example cURL smoke test script
#!/usr/bin/env bash
set -euo pipefail
BASE_URL="${BASE_URL:-https://api.example.com}"
echo "Checking health..."
curl -fsS "$BASE_URL/health" | jq .
echo "Checking readiness..."
curl -fsS "$BASE_URL/ready" | jq .
echo "Authenticating..."
TOKEN=$(curl -fsS -X POST "$BASE_URL/login" \
-H 'Content-Type: application/json' \
-d '{"username":"smoke","password":"smoke-pass"}' | jq -r '.access_token')
test -n "$TOKEN" && test "$TOKEN" != "null"
echo "Calling protected endpoint..."
curl -fsS "$BASE_URL/me" \
-H "Authorization: Bearer $TOKEN" | jq .
echo "Creating resource..."
RESOURCE_ID=$(curl -fsS -X POST "$BASE_URL/items" \
-H "Authorization: Bearer $TOKEN" \
-H 'Content-Type: application/json' \
-d '{"name":"smoke-test-item"}' | jq -r '.id')
test -n "$RESOURCE_ID" && test "$RESOURCE_ID" != "null"
echo "Fetching resource..."
curl -fsS "$BASE_URL/items/$RESOURCE_ID" \
-H "Authorization: Bearer $TOKEN" | jq .
echo "Deleting resource..."
curl -fsS -X DELETE "$BASE_URL/items/$RESOURCE_ID" \
-H "Authorization: Bearer $TOKEN" >/dev/null
echo "Smoke tests passed."
If you want a minimal smoke suite
Start with just:
/health/ready- one authenticated request
- one create/read request
That’s usually enough to catch broken deploys without slowing the pipeline.
If you want, I can also help you design:
- a test checklist for your specific API,
- a Postman/Newman collection,
- or a GitHub Actions / Jenkins smoke test job.