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LangSmith is a platform for development and observability of applications using large language models. It centralizes run histories, evaluation metrics, traces and test suites so teams can iterate on prompts, monitor model behaviour and diagnose failures. Integrations with common LLM frameworks and data stores simplify adoption and operation.
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Usable application software: supports people in a task.
Concrete cog in the system that works inside larger relationships.
LangSmith is a platform for tracing, testing, evaluating, and observing applications built with language models and agents.
LangChain developed LangSmith as a production-oriented complement to LLM-application frameworks, independent of any single model provider.
Instrumented runs capture prompts, model calls, tools, latency, tokens, and nested execution. Datasets and experiments compare versions through automated or human evaluators; dashboards and alerts observe production. Feedback connects real use with improvement.
Hierarchical traces make multistep probabilistic behavior inspectable.
Versioned data sets and evaluators compare changes reproducibly.
Production examples and human ratings return into development.
LangSmith fits systematic quality assurance and diagnosis of LLM systems. Sensitive prompts, retention, evaluator bias, cost, vendor dependency, and robust domain-specific success criteria need governance.
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