How do you design an end-to-end LLM application architecture?

An end-to-end LLM architecture includes input processing, retrieval, model inference, post-processing, and monitoring layers.

Production LLM applications are multi-layer systems combining APIs, vector databases, prompt orchestration, inference engines, and observability pipelines. Each stage is independently scalable and monitored.