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Open Source · Observability

LangSmith

Complete AI agent and LLM observability platform with tracing and real-time monitoring. Debug agents, find failures fast, and track costs and latency.

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About LangSmith

LangSmith is an observability platform for LLM applications and AI agents. It provides tracing, real-time monitoring, and debugging tools to help developers identify failures, track costs, and measure latency.

Best for

Teams building complex multi-step agents or LLM pipelines that need production observability

Use cases

  • Debug agent behavior by inspecting detailed traces of each step
  • Monitor production LLM calls for cost and latency anomalies
  • Compare prompt versions or model outputs to catch regressions

Pros

  • Deep tracing into agent chains and tool calls
  • Real-time dashboards for cost and latency tracking
  • Integrates tightly with LangChain and other frameworks

Cons

  • Requires instrumentation setup for non-LangChain apps
  • Free tier has limited data retention and usage quotas
  • Can be overwhelming for simple single-prompt use cases

Key facts

What we have checked

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Alternatives

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RecordTypeHow we knowChecked
OpikThis is an alternative to itOpen sourceNamed in the listingNot dated

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Sources

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