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src/langsmith/experiment-configuration.mdx

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@@ -13,7 +13,7 @@ LangSmith supports several configuration options for experiments:
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_Repetitions_ run an experiment multiple times to account for LLM output variability. Since LLM outputs are non-deterministic, multiple repetitions provide a more accurate performance estimate.
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Configure repetitions by passing the `num_repetitions` argument to `evaluate` / `aevaluate` ([Python](https://docs.smith.langchain.com/reference/python/evaluation/langsmith.evaluation._runner.evaluate), [TypeScript](https://docs.smith.langchain.com/reference/js/interfaces/evaluation.EvaluateOptions#numrepetitions)). Each repetition re-runs both the target function and all evaluators.
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Configure repetitions by passing the `num_repetitions` argument to `evaluate` / `aevaluate` ([Python](https://reference.langchain.com/python/langsmith/evaluation/_runner/evaluate), [TypeScript](https://reference.langchain.com/javascript/langsmith/evaluation/EvaluateOptions#member-numRepetitions-9)). Each repetition re-runs both the target function and all evaluators.
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Learn more in the [repetitions how-to guide](/langsmith/repetition).
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