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Developer fixes Anthropic client bug blocking asyncio event loop

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.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer fixes Anthropic client bug blocking asyncio event loop

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29 / 100
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Tool
Developer shares a technical solution to a specific bug encountered while using an AI product.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · jidonglab ·

    Sync Anthropic Client Blocked My asyncio Loop: Voice p95 Hit 11.4s

    <p>With one user on the server, my voice AI answered in 0.9 seconds. With eight users, the last person in line waited 11.4 seconds, and it sounded broken. The model, the network and the speech vendor were all fine. The problem was one line, <code>client = Anthropic()</code>, call…