📄 中文摘要
在使用 OpenAI 或 Claude API 进行开发时，开发者常常面临一个问题：在测试提示、运行脚本和快速调整时，无法实时了解自己消耗了多少令牌。虽然可以在后期查看仪表板，但在实际开发过程中，令牌使用情况几乎是不可见的。开发者在运行实验、测试代理或脚本、调试 API 调用时，缺乏对令牌使用的即时可视化，导致在编码时无法有效管理成本。目前大多数现有工具仅提供事后分析的仪表板、日志解决方案或完整的分析平台，无法满足实时监控的需求。
为什么追踪 LLM 令牌使用仍然如此烦人？
出处: Why is tracking LLM token usage still so annoying?
发布: 2026年3月3日
📄 English Summary
Why is tracking LLM token usage still so annoying?
Developers using OpenAI or Claude APIs often encounter the challenge of tracking token usage in real time while testing prompts, running scripts, and making quick adjustments. Although dashboards can provide insights later, token consumption remains largely invisible during the actual development process. This lack of immediate visibility becomes problematic when running prompt experiments, testing agents or scripts, and debugging API calls. Most existing tools only offer post-factum dashboards, logging solutions, or comprehensive analytics platforms, failing to address the need for real-time monitoring of token usage.