v3

latestOpenAPI 3.1.02026-07-311,4541,5202.3 MB

evaluations

Results Related To Log List

Listing all the evaluators along with the results under them within a log

Args: URL args: - log_id: The ID of the log to get the evaluators and results for Query params: - evaluator_type: The type of the evaluator to get the results for - timestamp: The timestamp of the log to get the evaluators and results for - unique_organization_id: The unique organization ID of the log to get the evaluators and results for POST params: - evaluation_id: The ID of the evaluation to create the result for - evaluator_slug: The slug of the evaluator to create the result for - log_unique_id: The unique ID of the log to create the result for - eval_result_unique_id: The unique ID of the result to create - score_mapping: The score mapping of the result - primary_score: The primary score of the result

get/evaluations/results/related-to-log/{log_id}/

Path parameters

log_idstring required

Query parameters

pageinteger

A page number within the paginated result set.

page_sizeinteger

Number of results to return per page.

Headers

Authorizationstring required

JWT access token or Respan API key

Response

countinteger required

nextstring uri nullable

previousstring uri nullable

total_countinteger

current_filtersFilterParamDictPydantic

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_dataPaginatedEvalWithResultsListFiltersData