LLM Cost and Latency in Production: Token Accounting, Caching, Routing and Fallbacks
What happens to an LLM feature once real traffic arrives: where latency actually comes from, a per-feature token and cost meter with tenant budgets, structuring prompts for provider prompt caching, exact and semantic caching, model routing, trimming context, batch APIs, parallel calls, retries with fallback and circuit breakers, and the dashboard I watch.
Systems & architecture8 min