v3

latestOpenAPI 3.1.02026-07-311,4541,5202.3 MB

datasets

List Dataset Eval Runs

View mixin that handles both JWT and API Key authentication.

Inherits from JWTAuthUtils:

is_jwt_auth(request): Post-auth check (reliable, uses DRF's successful_authenticator)
is_jwt_token_format(request): Pre-auth heuristic (used here to route authenticators)

This mixin uses is_jwt_token_format() (pre-auth) in get_authenticators() and get_permissions() because those methods run BEFORE authentication completes. For post-auth checks, use is_jwt_auth() instead.

get/api/datasets/{dataset_id}/eval-reports/list/

Path parameters

dataset_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

Use your Respan API key for Respan API authentication. Enter only the Respan API key value; clients send Authorization: Bearer <RESPAN_API_KEY>. For /api/responses, provider credentials such as Perplexity, OpenAI, or Azure OpenAI go in Settings -> Providers or respan_params.credential_override in the request body, not in this authentication field.

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_dataPaginatedPublicDatasetTaskTrackerRunEvalListListFiltersData