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传统 APM 无法解释 LLM 应用的非确定性与 Token 成本模型。本文基于 OpenTelemetry GenAI 语义规范,剖析 LLM 调用链追踪的 Span 层级设计、隐私脱敏、成本归因与两级质量评估,附生产级落地方案。
What RADAR observed and classified to build this opportunity. It is what the source published, not a verification that the offer is still active.
深入解析 AI 应用可观测性:OpenTelemetry GenAI 规范下的调用链追踪与 Token 成本治理. 传统 APM 无法解释 LLM 应用的非确定性与 Token 成本模型。本文基于 OpenTelemetry GenAI 语义规范,剖析 LLM 调用链追踪的 Span 层级设计、隐私脱敏、成本归因与两级质量评估,附生产级落地方案。
Open sourceThe catalog shows persisted RADAR opportunities. Storage availability does not mean sources are verified or offers are active.