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Python asyncio.gather bug causes 1,761 wasted LLM calls

A Python developer discovered an issue with `asyncio.gather` where it continues to execute tasks even after one task in the group raises an exception. This led to 1,761 unnecessary LLM calls to Claude after the user's request had already failed. The problem was exacerbated by the use of a semaphore, which allowed new tasks to start even after the initial error. The developer found that `asyncio.TaskGroup`, available in Python 3.11+, resolves this by ensuring all sibling tasks are cancelled and awaited when one task fails. AI

IMPACT Highlights potential for wasted LLM API calls due to concurrency bugs in application code.

RANK_REASON Developer discovers and documents a bug in a common Python library function and provides a fix.

Read on dev.to — LLM tag →

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

Python asyncio.gather bug causes 1,761 wasted LLM calls

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29 / 100
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Tool
Developer discovers and documents a bug in a common Python library function and provides a fix.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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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 ·

    asyncio.gather Kept Running: 1,761 LLM Calls Finished After My 500

    <p>My summarizer endpoint returned a 500, and the user saw an error toast. Then the event loop kept working on that dead request for another 40 seconds, sending Claude calls whose answers nobody would ever read.</p> <p>The cause was one line: <code>await asyncio.gather(...)</code…