📄 中文摘要
在生产环境中运行 AI 时，初期的 API 调用费用可能会迅速增加，导致日常开支高达 $2,400。通过对多代理系统的优化，作者在三个月内将每日费用降低至约 $700，且94%的任务没有明显的质量损失。具体的优化策略包括合理选择模型、调整调用频率以及优化任务分配等，从而有效控制成本并保持服务质量。
如何在不降低质量的情况下将我的 LLM 成本降低 70%
出处: How I Cut My LLM Costs by 70% Without Losing Quality
发布: 2026年2月16日
📄 English Summary
How I Cut My LLM Costs by 70% Without Losing Quality
Running AI in production can lead to unexpectedly high costs, with expenses reaching $2,400 per day for API calls. By optimizing a multi-agent system, the author successfully reduced daily costs to around $700 over three months, with no measurable quality loss on 94% of tasks. The strategies employed include selecting appropriate models, adjusting call frequencies, and optimizing task distribution, effectively controlling costs while maintaining service quality.