A developer encountered significant performance issues with their voice AI application when scaling to multiple users, experiencing delays of up to 11.4 seconds due to a synchronous Anthropic client blocking the asyncio event loop. The problem was initially masked by single-user testing, where the blocking call appeared normal. The developer identified the issue by enabling asyncio debug mode and implementing a loop-lag monitor, ultimately resolving it by switching to the asynchronous Anthropic client and using `async for` for streaming responses. AI
IMPACT Highlights potential performance pitfalls when integrating LLM APIs into asynchronous Python applications.
RANK_REASON Developer shares a technical solution to a specific bug encountered while using an AI product.
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