7 Async Patterns for Running Agents Concurrently in Python

Seven async patterns for running AI agents concurrently in Python using asyncio, covering fire-and-forget, scatter-gather, supervised task groups (Python 3.11+), producer-consumer queues, semaphore-based backpressure, speculative execution, and pipeline chaining. Each pattern is paired with production-level pitfalls: silent exception swallowing, straggler latency, aggressive task cancellation, unbounded queue memory leaks, token-limit blindness, paying for cancelled provider requests, and tracing failures across pipeline stages. The post also warns about CPU-bound operations blocking the event loop and recommends offloading them to thread pools.

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