Prompt
I’m building an API and need kill switches for risky endpoints. What approach is best?
Latest observation
Oct 13, 2026
OpenAI APIWeb search: off
The best approach is to use layered kill switches rather than a single on/off flag.
Recommended pattern
-
Global kill switch
- Can disable an entire service or traffic class quickly.
- Useful for major incidents.
-
Per-endpoint kill switch
- One flag per risky endpoint or operation.
- Lets you turn off only the problematic path without affecting the rest of the API.
-
Per-tenant / per-user override
- Lets you disable an endpoint for a specific customer, region, or cohort if needed.
-
Safe fallback behavior
- When disabled, return a clear, consistent response:
503 Service Unavailablefor temporary shutdowns403 Forbiddenif access is intentionally revoked
- Include a machine-readable error code for clients.
- When disabled, return a clear, consistent response:
Implementation best practices
- Evaluate switches early in the request path, before expensive or side-effecting work.
- Use a centralized config system so toggles can be changed quickly without redeploying.
- Make changes auditable: log who flipped the switch and when.
- Keep switches simple: avoid complex nested conditions that are hard to reason about.
- Use TTLs / expiry so temporary kill switches don’t become permanent accidental debt.
- Test the disabled path just as much as the enabled path.
Operational guidance
- Pair kill switches with:
- rate limits
- circuit breakers
- canary releases
- feature flags
- rollback procedures
Rule of thumb
If the endpoint can cause:
- financial loss,
- data corruption,
- privacy/security exposure,
- or expensive downstream side effects,
it should have a dedicated kill switch plus a global emergency stop.
If you want, I can sketch a simple reference design for kill switches in REST, GraphQL, or gRPC.