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
| Stage | Target | Fallback |
|---|---|---|
| STT | < 500ms | Text input UI |
| LLM Response | < 1s (first token) | Pre-cached responses |
| TTS | < 300ms (first chunk) | Text bubble display |
| Total Round-Trip | < 2s | Thinking 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
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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