Event-Driven & Async Architectures for AI Systems

AI systems frequently involve long-running operations — LLM inference, multi-step agent workflows, retrieval-augmented generation, and tool execution chains. Event-driven and asynchronous architectures are essential for building responsive, scalable, and resilient AI applications. This section covers patterns for handling the unique concurrency challenges of AI workloads.

Sync vs Async: Decision Framework

The choice between synchronous, asynchronous, and streaming architectures depends on latency requirements, operation complexity, and user experience expectations.