Event-Driven Async
Event-driven async architectures for AI: message queues, webhook patterns, and asynchronous agent orchestration.
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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.
The Numbers Behind the Decisions
The patterns in this section are only half the answer — the other half is arithmetic. Three calculations come up in nearly every async-systems interview and every production design review: where the sync/async line actually sits, whether your worker fleet fits inside your provider’s rate limits, and whether your queue is stable. Run them before you pick an architecture, not after the first page.
1 · Sync or queue: the ~30-second line
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