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Unverified50% confidenceFactExact time

LangSmith、Langfuse、Weights & Biases Weave等工具提供结构化轨迹存储，每条轨迹包含Span树状结构，记录输入、输出、延迟、Token消耗和元数据

1

Sources

50%

Confidence

Medium-term (~90 days)

Relevance

7/14/2026

First Seen

Valid until: 10/12/2026

Sources

AI Agent上线前如何测试高风险动作？Mock之外的完整方案

Related Claims

Unverified在 Langfuse 中追踪被组织为层次化的 Span 结构，顶层 Trace 代表一次完整的用户请求，下面可嵌套 Generation Span、Tool Span、Retrieval Span 等子 Span66% similar UnverifiedRAG管线的关键组件包括文档解析与分块、向量嵌入、向量数据库存储（Milvus、Pinecone、Weaviate等）、检索策略（混合检索、重排序）以及上下文注入与Prompt组装65% similar Unverifiedml-pipes 内建的追踪数据可以被导出到Jaeger、Zipkin、Grafana Tempo等主流追踪后端进行可视化和分析65% similar VerifiedLangSmith提供Trace追踪能力，记录每一次LLM调用的输入输出、延迟和Token消耗64% similar Unverified可观测性三类数据通常由不同工具栈采集，如ELK/Loki处理日志、Prometheus/Datadog处理指标、Jaeger/Zipkin处理链路追踪64% similar

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