async def run(
        self,
        *,
        grader: grader_run_params.Grader,
        model_sample: str,
        item: object | NotGiven = NOT_GIVEN,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
    ) -> GraderRunResponse:
        """
        Run a grader.

        Args:
          grader: The grader used for the fine-tuning job.

          model_sample: The model sample to be evaluated. This value will be used to populate the
              `sample` namespace. See
              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
              The `output_json` variable will be populated if the model sample is a valid JSON
              string.

          item: The dataset item provided to the grader. This will be used to populate the
              `item` namespace. See
              [the guide](https://platform.openai.com/docs/guides/graders) for more details.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        return await self._post(
            "/fine_tuning/alpha/graders/run",
            body=await async_maybe_transform(
                {
                    "grader": grader,
                    "model_sample": model_sample,
                    "item": item,
                },
                grader_run_params.GraderRunParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=GraderRunResponse,
        )

        Run a grader.

        Args:
          grader: The grader used for the fine-tuning job.

          model_sample: The model sample to be evaluated. This value will be used to populate the
              `sample` namespace. See
              [the guide](https://platform.openai.com/docs/guides/graders) for more details.
              The `output_json` variable will be populated if the model sample is a valid JSON
              string.

          item: The dataset item provided to the grader. This will be used to populate the
              `item` namespace. See
              [the guide](https://platform.openai.com/docs/guides/graders) for more details.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        
src/openai/resources/fine_tuning/alpha/graders.py