langfuse
通过 Langfuse MCP 调查 AI 追踪、观测、异常、延迟、会话、提示词、数据集、标注队列和评分。当请求中提及 Langfuse 或要求诊断已记录的 AI 行为时使用。
机器翻译查看英文原文
Investigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Use when the request names Langfuse or asks to diagnose recorded AI behavior.
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原作者说明节选
从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。
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原文涵盖的主题
- Langfuse
- Route the task
- Evidence and mutation boundaries
Use Langfuse evidence to move from a broad symptom to the relevant trace, observation, session, prompt, or dataset. Start with the narrowest read-only query that can locate the event, then inspect its concrete inputs, outputs, timing, and errors. For trace, observation, exception, latency, or session diagnosis, read diagnostic and management workflows. For installation, credentials, tool groups, output defaults, connection failures, or empty results, read setup. For exact parameters, filters, pagination, output modes, and response shapes, read the tool reference. A common investigation starts with fetchtraces(age=60) or findexceptions(age=1440, groupby="file"), then fetches the selected trace or observation by ID. Use fulljsonfile only when the complete payload is needed; exports can contain sensitive user data. Treat model names, prompts, timestamps, and other values in historical traces as recorded evidence. Do not rewrite or normalize old model identifiers to a current name such as gpt-6-astra. Trace discovery and inspection are read-only. Prompt creation or relabeling, dataset changes, annotation-queue changes, and deletions mutate Langfuse; perform them only when the user requ
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- 来源仓库
- avivsinai/skills-marketplace
- 源文件
- plugins/langfuse/skills/langfuse/SKILL.md
- 固定版本
- bde930f24e3f669f4fc75602ffc6c565a28283ed
来源与内容状态
本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。
原作者:avivsinai/skills-marketplace · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T19:02:25.493Z。
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