Build and Deploy LLM Apps
Interactive AI lesson12 min · Lesson 1 of 4
Design the production LLM architecture
A production LLM app separates the interface, application service, model provider, approved data sources and observability. Secrets stay on the server and outputs remain untrusted until validated.
What you’ll learn
- Keep API credentials server-side
- Define structured request and response schemas
- Apply authentication before data retrieval
- Log safely without storing unnecessary prompts
Architecture flow
Browser → authenticated API → policy and rate-limit layer → retrieval/tools → model → output validation → response with citations and trace ID.Hands-on activityDraw the architecture for a university course assistant and mark where identity, permissions and validation occur.
Knowledge check
Where should a model API key be stored?