📄 中文摘要
在使用大型语言模型（LLM）的过程中，开发者常常面临 API 成本不断上升的问题，直到账单到来才意识到消费的严重性。许多开发者在不同的服务提供商（如 OpenAI、Anthropic 和 Google）上运行多个模型，却无法实时监控令牌的消耗情况，导致成本失控。大多数开发者往往是被动地跟踪 API 成本，定期查看仪表盘，但此时损失已经发生。无论是由于脚本失控还是提示工程实验超出预期的上下文使用，缺乏实时的成本意识是主要问题。解决这一问题的关键在于实现对令牌消耗的实时跟踪。
停止猜测您的 API 成本：实时跟踪 LLM 令牌
出处: Stop Guessing Your API Costs: Track LLM Tokens in Real Time
发布: 2026年3月24日
📄 English Summary
Stop Guessing Your API Costs: Track LLM Tokens in Real Time
Developers working with large language models (LLMs) often face the issue of escalating API costs that go unnoticed until the bill arrives. Many run multiple models across different providers like OpenAI, Anthropic, and Google, lacking visibility into token consumption, which can lead to uncontrolled expenses. Most developers track API costs reactively, checking dashboards periodically, but by then, the damage is already done. Whether due to runaway scripts or prompt engineering experiments consuming more context than anticipated, the core issue is the absence of real-time awareness of costs. Addressing this problem requires implementing real-time tracking of token consumption.