cheatsheets Jun 28, 2026 updated Jun 28, 2026
LLM API Reliability Checklist
A checklist for integrating external LLM and model APIs safely.
- Status
- evergreen
- Visibility
- public
- Role Area
- LLM API reliability
- Priority
- P0
- Confidence
- operational
- Category
- AI Infrastructure
- Difficulty
- advanced
- Published
- Jun 28, 2026
- Updated
- Jun 28, 2026
Request Policy
- Timeout is set.
- Retry policy is explicit.
- Idempotency is handled for job creation.
- Model and provider are logged.
- Token usage is tracked.
Product Behavior
- Failure state is user-safe.
- Fallback model or degraded path exists where useful.
- Cost budget is enforced.
- Output validation exists for structured responses.
Security
- API keys are secret-managed.
- Sensitive content is minimized.
- Model output is treated as untrusted.
Source Links
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