Best Practices Advanced

Shipping AI NPCs in a production game requires solving challenges that go far beyond the initial prototype: managing API costs at scale, ensuring content safety, handling network failures gracefully, and testing non-deterministic systems. This lesson covers the essential production patterns.

Latency Budget

StageTargetFallback
STT< 500msText input UI
LLM Response< 1s (first token)Pre-cached responses
TTS< 300ms (first chunk)Text bubble display
Total Round-Trip< 2sThinking animation + text fallback

Cost Management

  • Use smaller models (Claude Haiku, GPT-4o-mini) for simple NPCs; reserve larger models for key characters
  • Cache common responses and greetings to avoid redundant API calls
  • Implement token budgets per NPC per session
  • Use local models for offline/single-player modes

Fallback Systems

Always have fallbacks: When the LLM API is unavailable, slow, or returns inappropriate content, gracefully degrade to pre-written dialogue trees. Players should never see an error message or experience a frozen NPC. Design the fallback to feel intentional, not broken.

Content Safety

  • Implement input filtering before sending player text to the LLM
  • Validate all LLM outputs against content policies before displaying
  • Log flagged interactions for review (with privacy compliance)
  • Provide player reporting mechanisms for inappropriate NPC behavior

Testing Non-Deterministic Systems

AI NPCs produce different responses each time, making traditional assertion-based testing insufficient. Use LLM-as-judge evaluation: run hundreds of simulated conversations and have a separate LLM score each response for persona consistency, lore accuracy, and content safety.

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