This repository documents integration patterns for Large Language Models in real systems.
The focus is not on prompts.
The focus is on systems.
- API-based LLM integration
- Authentication and identity patterns
- Retrieval Augmented Generation (RAG)
- Agent orchestration patterns
- Failure modes and edge cases
- When they work
- When they break
- Data ownership and freshness
- Latency and cost trade-offs
- Coordination complexity
- Observability challenges
- Human-in-the-loop design
- Latency budgets
- Cost predictability
- Security boundaries
- Rate limits and quotas
- A prompt engineering guide
- A framework comparison
- A demo repository
Designed for engineers and architects working with production constraints.