LLM reliability #6-7: guardrails, fallbacks, and production monitoring
goyalshaliniuk · x · 2026-10-10
Parts 6-7 of goyalshaliniuk's LLM reliability series:
6. Add guardrails & fallbacks — models, APIs, and services fail; prepare for timeouts, rate limits, malformed outputs, unsafe responses, and failed retrieval with bounded retries, timeouts, fallback strategies, and human review. Design for failure.
7. Monitor production performance — passing tests doesn't guarantee real-world reliability; track error rates, latency, cost per request, user feedback, groundedness, task success, and quality regressions, and feed insights back into evals.
Related event: Seven Ways to Make LLMs More Reliable: From RAG to Production Monitoring(9 posts)→
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