📄 中文摘要
OpenClaw是当前最优秀的AI代理框架之一，但其LLM抽象层存在不足。随着代理工作负载的增加，令牌使用量呈指数级增长，导致成本飙升，达到每日248美元。在这种背景下，ClawRouter通过优化LLM的使用，显著降低了支出，帮助用户在高负载情况下节省了大量成本。该技术的实施使得AI代理能够更高效地处理任务，同时保持性能的稳定性。
AI代理API成本：ClawRouter如何将LLM支出降低500倍
出处: AI Agent API Costs: How ClawRouter Cuts LLM Spending by 500x
发布: 2026年3月21日
📄 English Summary
AI Agent API Costs: How ClawRouter Cuts LLM Spending by 500x
OpenClaw is recognized as one of the best AI agent frameworks, yet its LLM abstraction layer has limitations. As agentic workloads increase, token usage compounds exponentially, leading to costs soaring to $248 per day. In this context, ClawRouter optimizes LLM usage, significantly reducing expenses and enabling users to save substantial amounts even under high workloads. The implementation of this technology allows AI agents to handle tasks more efficiently while maintaining stable performance.