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Retrieve

API Reference
Agents
Evaluation Test Cases
Retrieve Information About an Existing Evaluation Test Case
agents.evaluation_test_cases.retrieve(strtest_case_uuid, EvaluationTestCaseRetrieveParams**kwargs) -> EvaluationTestCaseRetrieveResponse
get/v2/gen-ai/evaluation_test_cases/{test_case_uuid}

To retrive information about an existing evaluation test case, send a GET request to /v2/gen-ai/evaluation_test_case/{test_case_uuid}.

ParametersExpand Collapse
test_case_uuid: str
evaluation_test_case_version: Optional[int]

Version of the test case.

ReturnsExpand Collapse
class EvaluationTestCaseRetrieveResponse: …
evaluation_test_case: Optional[APIEvaluationTestCase]
from gradient import Gradient

client = Gradient()
evaluation_test_case = client.agents.evaluation_test_cases.retrieve(
    test_case_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
)
print(evaluation_test_case.evaluation_test_case)
{
  "evaluation_test_case": {
    "archived_at": "2023-01-01T00:00:00Z",
    "created_at": "2023-01-01T00:00:00Z",
    "created_by_user_email": "[email protected]",
    "created_by_user_id": "12345",
    "dataset": {
      "created_at": "2023-01-01T00:00:00Z",
      "dataset_name": "example name",
      "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "file_size": "12345",
      "has_ground_truth": true,
      "row_count": 123
    },
    "dataset_name": "example name",
    "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "description": "example string",
    "latest_version_number_of_runs": 123,
    "metrics": [
      {
        "description": "example string",
        "inverted": true,
        "metric_name": "example name",
        "metric_type": "METRIC_TYPE_UNSPECIFIED",
        "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "metric_value_type": "METRIC_VALUE_TYPE_UNSPECIFIED",
        "range_max": 123,
        "range_min": 123
      }
    ],
    "name": "example name",
    "star_metric": {
      "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "name": "example name",
      "success_threshold": 123,
      "success_threshold_pct": 123
    },
    "test_case_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "total_runs": 123,
    "updated_at": "2023-01-01T00:00:00Z",
    "updated_by_user_email": "[email protected]",
    "updated_by_user_id": "12345",
    "version": 123
  }
}
Returns Examples
{
  "evaluation_test_case": {
    "archived_at": "2023-01-01T00:00:00Z",
    "created_at": "2023-01-01T00:00:00Z",
    "created_by_user_email": "[email protected]",
    "created_by_user_id": "12345",
    "dataset": {
      "created_at": "2023-01-01T00:00:00Z",
      "dataset_name": "example name",
      "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "file_size": "12345",
      "has_ground_truth": true,
      "row_count": 123
    },
    "dataset_name": "example name",
    "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "description": "example string",
    "latest_version_number_of_runs": 123,
    "metrics": [
      {
        "description": "example string",
        "inverted": true,
        "metric_name": "example name",
        "metric_type": "METRIC_TYPE_UNSPECIFIED",
        "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "metric_value_type": "METRIC_VALUE_TYPE_UNSPECIFIED",
        "range_max": 123,
        "range_min": 123
      }
    ],
    "name": "example name",
    "star_metric": {
      "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "name": "example name",
      "success_threshold": 123,
      "success_threshold_pct": 123
    },
    "test_case_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "total_runs": 123,
    "updated_at": "2023-01-01T00:00:00Z",
    "updated_by_user_email": "[email protected]",
    "updated_by_user_id": "12345",
    "version": 123
  }
}