<?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>Tracing on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/tracing/</link><description>Recent content in Tracing 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>Sun, 28 Jun 2026 10:10:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/tracing/index.xml" rel="self" type="application/rss+xml"/><item><title>Agent 可观测性 2026：OpenTelemetry for LLM 实践</title><link>https://guijiagi.com/posts/agent-observability-otel-2026/</link><pubDate>Sun, 28 Jun 2026 10:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-observability-otel-2026/</guid><description>如何使用OpenTelemetry标准构建LLM Agent的全链路可观测性体系，涵盖Traces、Metrics、Logs三大支柱</description></item><item><title>LLM 可观测性技术栈：Log/Trace/Metric 三位一体</title><link>https://guijiagi.com/posts/llm-observability-stack/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/llm-observability-stack/</guid><description>LLM 生产系统可观测性全栈：结构化日志、分布式链路追踪、关键指标监控与告警规则设计</description></item></channel></rss>