如果你用 Claude Code 或 Codex 写代码，OpenWiki 这次更新能通过 LangSmith 追踪数据看懂代理哪里卡壳，帮你写出更准的 wiki。两条命令就能跑起来。
OpenWiki 新增 LangSmith tracing 连接器，可分析 Claude Code、Codex 等编程代理在仓库中的实际交互、上下文缺失和卡点。基于这些追踪数据，OpenWiki 能更精准地生成 wiki 文档。用户只需执行 npm install -g openwiki 和 openwiki --init 两条命令即可本地试用。该功能当前已在 github.com/langchain-ai/o… 上开源。
OpenWiki now connects directly to LangSmith tracing projects to provide better context into how codi...
OpenWiki now connects directly to LangSmith tracing projects to provide better context into how coding agents are actually interacting with your codebase. To generate the most useful wikis you need to know where existing agents focus on the most, get stuck or fail. By giving OpenWiki direct access to LangSmith traces we can do exactly that. Try OpenWiki locally today with just two commands: npm install -g openwiki openwiki --init github.com/langchain-ai/o… Brace @BraceSproul OpenWiki now connects to LangSmith traces to analyze how coding agents interact with your repo during wiki generations! We added a LangSmith tracing connector so OpenWiki can retrieve more context into how coding agents (Claude Code, Codex, etc) interact with and write code in your repo. You trace coding agent sessions to LangSmith (doc links in reply), then connect OpenWiki to those tracing projects so it can analyze where your agent is lacking context, where it gets stuck, and more to better design and write wikis. Try the LangSmith tracing connector in OpenWiki today: github.com/langchain-ai/o… 🔗 View Quoted Tweet 💬 1 🔄 1 ❤️ 3 👀 894 📊 1 ⚡