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AI Agents · Lesson

Async Python for Agent Developers

asyncio basics, async def, await, event loop — the async mental model.

Why Async for Agents?

Agents make many I/O-bound calls: LLM APIs, web requests, database queries. Synchronous code waits idle while these calls complete. Async code runs other work during those waits, dramatically improving throughput.

Async Basics: async def and await

async def declares a coroutine function. await suspends execution until the awaited operation completes, letting the event loop run other coroutines in the meantime.

import asyncio

async def fetch_data(source: str) -> str:
    print(f'Starting fetch from {source}')
    await asyncio.sleep(1)  # Simulates a network call
    print(f'Finished fetch from {source}')
    return f'Data from {source}'

async def main():
    # Sequential: takes 2 seconds total
    result1 = await fetch_data('source-A')
    result2 = await fetch_data('source-B')
    print('Sequential results:', result1, result2)

asyncio.run(main())

# asyncio.run() starts the event loop and runs main()
# It is the entry point for async programs

All lessons in this course

  1. Async Python for Agent Developers
  2. Event Queues and Message Brokers
  3. Non-Blocking Parallel Tool Execution
  4. Async Agent Frameworks: LangChain and Beyond
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