Async in Practice: LLM, RAG & Agents

Day 20 of Python for AI Engineering, completing Module 7. Put async to work on real AI patterns: fan out many LLM-style calls concurrently, handle failures among them with return_exceptions, and respect rate limits with a Semaphore. Understand why async is the backbone of fast agents, RAG, and batch LLM processing.