Unverified50% confidenceFactExact time
Tools such as LangSmith, Langfuse, and Arize Phoenix have specifically adapted the distributed tracing mechanism for LLM applications, supporting playback of an Agent's decision-making process by Trace.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/15/2026
First Seen
Valid until: 12/14/2026
Sources
Related Entities
Related Claims
UnverifiedLLM/Agent-oriented observability tools include LangSmith, Langfuse, and Phoenix, which are capable of tracking the complete execution trajectory of an Agent.79% similarVerifiedLangSmith is an LLM application observability platform launched by LangChain, which uses Tracing technology to record the complete execution chain of each Agent run.77% similarUnverifiedTools such as LangSmith and Langfuse attempt to provide tracing capabilities at the LLM call level, but full-chain visualization of multi-agent delegation chains remains immature.77% similarUnverifiedLangSmith、Phoenix、Arize 等工具用于分布式追踪，追踪模型调用链路中每个节点的输入输出、延迟和 Token 消耗76% similarVerifiedLangSmith, LangFuse, and Arize Phoenix are observability tools designed specifically for LLM applications, capable of visualizing the complete reasoning chain of an Agent.75% similar
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