Class EvaluateConfig

src/google/adk/evaluation/base_eval_service.py:34–55

Contains configurations needed to run evaluations.

class EvaluateConfig(BaseModel):
  """Contains configurations needed to run evaluations."""

  model_config = ConfigDict(
      alias_generator=alias_generators.to_camel,
      populate_by_name=True,
  )

  eval_metrics: list[EvalMetric] = Field(
      description="""The list of metrics to be used in Eval.""",
  )

  parallelism: int = Field(
      default=4,
      description="""Number of parallel evaluations to run during an Eval. Few
factors to consider while changing this value:

1) Your available quota with the model, especially for those metrics that use
a model as a judge. Models tend to enforce per-minute or per-second SLAs. Using
a larger value could result in the eval quickly consuming the quota.
""",
  )


class InferenceConfig(BaseModel):