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English(EN) A 30-line wrapper that tells you what every LLM call actually costs

开发者分享30行Python脚本以追踪LLM API成本

一位开发者创建了一个简单的30行Python脚本来追踪使用大型语言模型(LLM)的成本。该脚本包装了LLM API调用,特别提到了Claude API、Claude Opus-5和Claude Sonnet-5,以记录token使用量并计算每次调用的成本。该工具旨在为开发者提供实时的成本可见性,使他们能够识别导致月度账单显著增加的昂贵路线或功能,而这些信息通常在标准发票中被隐藏。 AI

影响 为开发者提供LLM API使用情况的精细成本追踪,从而实现更好的预算管理和优化。

排序理由 该集群描述了一个面向开发者的实用脚本,而不是新产品发布或核心AI研究。

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

开发者分享30行Python脚本以追踪LLM API成本

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Tool
该集群描述了一个面向开发者的实用脚本,而不是新产品发布或核心AI研究。
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product, infra
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报道来源 [1]

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

    一个30行代码的包装器,告诉你每次调用LLM的实际成本

    <p>Most people building with LLMs do not know what a given call costs until the monthly invoice shows up, and by then it is a single scary number with no breakdown. The fix is small. Every response already tells you how many tokens it used. Wrap the client once, price that usage …