<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Token on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/token/</link><description>Recent content in Token on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Tue, 30 Jun 2026 11:10:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/token/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent成本优化实战：从Token到基础设施的全面降本</title><link>https://guijiagi.com/posts/agent-cost-optimization-token-to-infra/</link><pubDate>Tue, 30 Jun 2026 11:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-cost-optimization-token-to-infra/</guid><description>从Token消耗、模型选择、缓存策略到基础设施优化的Agent系统全链路成本优化实战指南</description></item><item><title>LLM 成本优化实战：10 种降低 API 费用的方法</title><link>https://guijiagi.com/posts/llm-cost-optimization/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-cost-optimization/</guid><description>从模型选择、Prompt 精简、缓存策略到流量路由，系统介绍 10 种可落地的 LLM API 成本优化方法，附带代码示例与量化对比。</description></item><item><title>LLM 成本优化深度指南：省下 80% API 费用</title><link>https://guijiagi.com/posts/llm-cost-optimization-deep/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-cost-optimization-deep/</guid><description>从 Token 优化到模型路由再到自部署 TCO 分析，全面覆盖 LLM 成本优化策略</description></item></channel></rss>