Langsmith 관측성
원문: langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
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LangSmith LLM Observability Platform Development platform for debugging, evaluating, and monitoring language models and AI applications. When to use LangSmith Use LangSmith when: Debugging LLM application issues (prompts, chains, agents) Evaluating model outputs systematically against datasets Monitoring production LLM systems Building regression testing for AI features Analyzing latency, token usage, and costs Collaborating on prompt engineering Key features: Tracing : Capture inputs, outputs, latency for all LLM calls Evaluation : Systematic testing with built in and custom evaluators Datasets : Create test sets from production traces or manually Monitoring : Track metrics, errors, and cos…
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