📄 中文摘要
AI 代理在运行时消耗令牌速度极快，OpenClaw 代理的运营成本曾高达每日 50 至 200 美元。通过实施一系列实用策略，如上下文修剪和分层模型路由，成功将成本降低了 90%，同时提升了性能。这些策略的有效性在于优化了资源使用，确保了代理在执行文件读取、命令执行、邮件处理和决策等任务时的高效性。
令牌效率：我们如何将 AI 代理成本降低 90%
出处: Token Efficiency: How We Cut AI Agent Costs by 90%
发布: 2026年3月13日
📄 English Summary
Token Efficiency: How We Cut AI Agent Costs by 90%
AI agents consume tokens rapidly, with operational costs for the OpenClaw agent reaching $50 to $200 per day. By implementing practical strategies such as context pruning and tiered model routing, costs were reduced by 90% while enhancing performance. The effectiveness of these strategies lies in optimizing resource usage, ensuring the agent operates efficiently while handling tasks like reading files, executing commands, processing emails, and making decisions.