OpenResponsesEvaluatorModelConfig

The configuration for using models served through the OpenResponses API in evaluator assessments, including model selection and inference parameters.

Types

The maximum number of tokens to generate in the model response, including visible output and reasoning tokens.

The identifier of the model to use for evaluation.

The reasoning configuration for reasoning models. Non-reasoning models ignore this configuration.

The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.

The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.

open operator override fun equals(other: Any?): Boolean

open override fun hashCode(): Int

open override fun toString(): String