LLM Product Architecture - Interactive Visualization

A production LLM application is not just a model API call. Every request flows through: an API gateway for authentication and routing, a rate limiter to prevent abuse, a prompt router to send cheap queries to smaller models, a semantic cache to skip inference on repeated or similar queries, the actual LLM inference (which accounts for 95%+ of latency), an output filter for PII removal and content moderation, and guardrails for safety checks. Each layer adds latency but some save far more cost than they cost.

• Animated request trace: watch each request flow through the full stack in real time
• Toggle layers on/off to see exact latency and cost impact of each component
• Latency breakdown bar: see which layer eats which % of total request time
• LLM model is 95%+ of latency - all other layers are overhead
• Cache and router layers pay for themselves: small latency cost, huge savings
• Trace speed control to slow down or speed up the animation

Part of the EngineersOfAI Interactive 3D - free interactive visualizations covering every major concept in machine learning and AI engineering. Hover any element for a plain-English explanation. No code required.