LangSmith
by Community
Complete AI agent and LLM observability platform with tracing and real-time monitoring. Debug agents, find failures fast, and track costs and latency.
OSS
LangSmith
Added 1 June 2026
Overview
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
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
Notes
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.
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
Indexed from awesome-llm and enriched against its public facts.
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
Pairs with
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