Api Scores List
Create view for evaluation results
Synced to clickhouse automatically via evaluation.signals
Endpoint:
/api/scores/
Args:
- evaluator_id: The ID of the Evaluator instance to associate with
- numerical_value: The numerical score of this result
- string_value: The string score of this result
- boolean_value: The boolean score of this result
- categorical_value (Optional): The categorical score values (list of strings)
- log_id (Optional): The ID of the CHLogV3 instance to associate with
- prompt_id (Optional): The ID of the Prompt instance to associate with
- prompt_version_number (Optional): The version number of the Prompt instance to associate with
- dataset_id (Optional): The ID of the Dataset instance to associate with
Return:
{
"id": "xxxx",
"created_at": "2025-09-07T08:35:16.770817Z",
"type": "llm",
"environment": "test",
"numerical_value": null,
"string_value": null,
"boolean_value": null,
"categorical_value": [],
"is_passed": false,
"cost": 0.0,
"evaluator_id": "9b589384-574a-429c-8996-58419f514871",
"log_id": "some_log_id",
"dataset_id": null
}
Authentication
AuthorizationBearer
JWT access token or Respan API key
Query parameters
page
A page number within the paginated result set.
page_size
Number of results to return per page.
Response
count
results
next
previous
total_count
current_filters
Pydantic model for FilterParamDict. A dictionary that maps metric names to their filter parameters.
Each key is a metric name (str), and each value can be:
- A single MetricFilterParamPydantic (one condition)
- A List[MetricFilterParamPydantic] (multiple conditions for same metric)
- A FilterBundlePydantic (nested filter bundle with connector)
Note: Uses extra=“allow” for dynamic metric name fields. The pydantic_extra annotation tells Pydantic what types to expect for extra fields, and generates typed additionalProperties in JSON Schema.
filters_data