After building several production applications with LLM integrations, I've learned that the gap between a cool demo and a reliable production system is vast. Here's what actually works.
The Reality of Production Systems
In development, you can get away with generous timeouts and retry logic. In production, every millisecond counts. Users expect responses in seconds, not minutes.
Key Principles That Work
- Fail fast, fail gracefully: Always have a fallback when the LLM doesn't respond
- Cache aggressively: Store common responses to reduce costs and latency
- Validate inputs: Sanitize user inputs before sending to the model
- Stream responses: Show tokens as they arrive for better UX
Cost Management
LLM costs can spiral quickly. Implement:
- Prompt compression for longer contexts
- Smaller models for simpler tasks
- Usage monitoring and alerts
"The best LLM integration is one users don't notice — it just works reliably."
Start with the simplest approach, measure performance, and only add complexity when needed.