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English(EN) Exponential backoff with jitter: 64 of 100 LLM calls still failed

LLM API重试库并发调用遇阻,暴露出多处Bug

一个用于重试LLM API调用的C++库llm-retry,在对一个速率限制提供商进行100次并发调用时进行了测试。即使使用了指数退避加抖动策略,仍有64%的调用失败。将重试次数增加到8次后,所有调用均成功,但处理时间显著增加。测试还暴露了该库中的Bug,包括未能处理特定错误代码以及其熔断器功能存在问题。 AI

影响 凸显了在生产系统中稳健处理LLM API速率限制和错误所面临的挑战。

排序理由 该条目讨论了一个特定的软件库及其性能问题,属于‘工具’类别。

在 dev.to — LLM tag 阅读 →

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LLM API重试库并发调用遇阻,暴露出多处Bug

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该条目讨论了一个特定的软件库及其性能问题,属于‘工具’类别。
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报道来源 [1]

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

    指数退避加抖动:100次LLM调用仍有64次失败

    <p><em>Originally published at <a href="https://tensorust.com/articles/exponential-backoff-jitter/" rel="noopener noreferrer">tensorust.com</a>.</em></p> <p><strong>TL;DR:</strong> I fired 100 LLM calls at once into a rate limiter that refills 10 requests a second, using the defa…