<?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>API on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/api/</link><description>Recent content in API 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>Thu, 16 Jul 2026 11:28:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/api/index.xml" rel="self" type="application/rss+xml"/><item><title>大模型API经济学：成本优化策略与模型路由</title><link>https://guijiagi.com/posts/b1-a5d617e3/</link><pubDate>Thu, 16 Jul 2026 11:28:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-a5d617e3/</guid><description>分析大模型API调用成本优化方案，涵盖模型路由、缓存策略、批处理与混合部署</description></item><item><title>智能体工具设计模式</title><link>https://guijiagi.com/posts/agent-tool-design-patterns/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-design-patterns/</guid><description>系统梳理 AI 智能体工具设计的核心模式、最佳实践与反模式，助力构建可靠可扩展的工具调用体系</description></item><item><title>LLM 网关设计：统一接入层与多模型路由</title><link>https://guijiagi.com/posts/llm-gateway-design/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-gateway-design/</guid><description>系统化讲解 LLM 网关的架构设计，涵盖多模型路由、负载均衡、限流降级与成本控制</description></item><item><title>OpenAI 兼容 API 生态：统一接入层的标准之争</title><link>https://guijiagi.com/posts/openai-compatible-api/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/openai-compatible-api/</guid><description>全面解析 OpenAI 兼容 API 生态：从标准规范到主流实现方案对比，帮助企业构建统一的 LLM 接入层。</description></item><item><title>LLM API 网关实现：多模型路由/限流/缓存/审计</title><link>https://guijiagi.com/posts/llm-gateway-implementation/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-gateway-implementation/</guid><description>深入解析 LLM API 网关的架构设计，涵盖多模型路由、速率限制、语义缓存与审计日志的工程实践</description></item><item><title>OpenAI 兼容 API 服务器对比：vLLM/TGI/Ollama/LM Studio</title><link>https://guijiagi.com/posts/openai-compatible-api-servers/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/openai-compatible-api-servers/</guid><description>为什么需要 OpenAI 兼容、API 规范差异、性能对比、功能矩阵与选型建议，四大推理服务器全面横评。</description></item></channel></rss>