LLM Integration Patterns in Production

# LLM Integration Patterns in Production Integrating Large Language Models into production systems requires careful consideration of architecture, cost, and reliability. ## RAG Architecture Retrieval-Augmented Generation (RAG) has become the standard pattern for building LLM applications that need access to specific knowledge bases. ## Prompt Engineering Effective prompt engineering is crucial for getting consistent, high-quality outputs from LLMs. I'll share some patterns I've found effective. ## Cost Optimization LLM API calls can get expensive quickly. Implementing caching, batching, and smart model selection can significantly reduce costs. ## Monitoring and Observability Tracking token usage, latency, and quality metrics is essential for production LLM applications.