Async Python for AI Applications: Patterns That Don't Break Under Load

The first async AI application most Python developers write looks like this: import asyncio from anthropic import AsyncAnthropic client = AsyncAnthropic() async def summarize(text: str) -> str: response = await client.messages.create( model="claude-sonnet-4-6", max_tokens=512, messages=[{"role": "user", "content": f"Summarize: {text}"}] ) return response.content[0].text async def main(): results = await asyncio.gather( summarize(doc1),...