Python AsyncIO
asyncio is Python's standard framework for cooperative concurrency. It lets one thread manage many concurrent I/O-bound operations by switching between coroutines whenever they await.
Core Concepts
- An event loop coordinates tasks, callbacks, and I/O readiness.
async defdefines a coroutine function; calling it produces a coroutine object.- A Task wraps a coroutine so it can be scheduled concurrently on the loop.
awaityields control back to the loop until the awaited operation completes.- Cancellation is explicit and propagates through
CancelledError, which means cleanup paths must be written deliberately.
Main Building Blocks
asyncio.run(...): entry point for top-level async programs.asyncio.create_task(...): schedule concurrent work.asyncio.TaskGroup: structured concurrency in Python 3.11+.asyncio.gather(...): await multiple awaitables together.asyncio.to_thread(...): move blocking I/O work off the event-loop thread.asyncio.timeout(...): bound latency around tool calls or network operations.
Significance for Agents
- Agent runtimes spend much of their time waiting on APIs, model responses, subprocesses, or storage.
asynciokeeps those waits from serializing the whole system. - Cancellation semantics matter for timeouts, human interrupts, and budget enforcement.
TaskGroupis useful when several subtasks should fail together instead of leaking partial background work.- The event loop punishes hidden blocking calls. File, database, or HTTP code that blocks the loop can make an "async" agent behave synchronously.
Practical Heuristics
- Keep CPU-heavy work out of the event loop; use a worker thread or process when needed.
- Prefer
TaskGroupfor request-scoped parallelism andcreate_taskonly when you have a clear lifecycle for the spawned task. - Always assume cancellation can happen between awaits.
- Wrap slow external operations with timeouts and surface structured failures.