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LangSmith
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Code Development
Vector Databases & Memory
LLM observability and evaluation platform from LangChain. Debug, test, and monitor AI agents and chains. Trace every step of agent execution, evaluate outputs with custom criteria, and track performance over time. Essential for production AI applications.
Why Use LangSmith
Best observability tool for LangChain and LLM applications. See exactly what your agents are doing with detailed traces. Test prompts and chains with evaluation datasets. Compare model performance. Track costs and latency in production. Identify issues before they reach users. Free tier available.
Use Cases for Builders
Practical ways to use LangSmith in your workflow
- Debug complex agent workflows with step-by-step traces
- Evaluate LLM outputs against test datasets automatically
- Monitor agent memory retrieval and tool usage in production
- Compare prompt variations and model performance
- Track API costs, latency, and error rates over time
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