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Production Best Practices

Productionizing LLM features is primarily an engineering discipline problem: reliability under load, safety under adversarial input, and cost control at scale.

Key Practices​

  • Explicit SLOs (latency, availability, and quality targets).
  • Rate limits and concurrency controls to prevent cost blowups.
  • Safe fallbacks when models/tools fail (graceful degradation).
  • Strict input/output validation for tool calls.
  • Canary rollout and rollback plans for prompt and policy changes.

Trade-offs​

  • More guardrails improve safety but can increase false refusals.
  • More caching reduces cost but increases staleness risk.

Coming Next​

  • A reference rollout playbook for LLM features.
  • Incident response checklist for prompt injection and tool misuse.