pydo.genai.list_model_evaluation_runs()
Generated on 3 Aug 2026
from pydo version
v0.40.0
Usage
client.genai.list_model_evaluation_runs(
eval_preset_uuid=None,
status="MODEL_EVALUATION_RUN_STATUS_UNSPECIFIED",
page=None,
per_page=None,
statuses=None,
candidate_types=None,
search=None,
sort_by="MODEL_EVALUATION_RUN_SORT_FIELD_UNSPECIFIED",
sort_direction="SORT_DIRECTION_UNSPECIFIED",
)Description
To list model evaluation runs, send a GET request to /v2/genai/model_evaluation_runs.
Parameters
eval_preset_uuidstring optionalUUID of the evaluation preset to filter by.
statusstring optionalFilter by evaluation run status.
pageinteger optionalPage number.
per_pageinteger optionalItems per page.
statusesarray of strings optionalFilter by one or more statuses. Empty means no status filter.
candidate_typesarray of strings optionalFilter by one or more candidate model source types
(serverless, dedicated, router). Empty means no candidate-type filter.searchstring optionalFree-text search across the eval run name, candidate model name and
dataset name (case-insensitive substring match). Empty means no search.sort_bystring optionalField to sort by. Defaults to creation date when unspecified.
sort_directionstring optionalSort direction. Defaults to descending when unspecified.
Pagination
This method returns paginated results. The response includes a
links.pages object with URLs for navigating between pages. To
retrieve the next page, parse the next URL and pass the page
parameter:
from urllib.parse import urlparse, parse_qs
resp = client.genai.list_model_evaluation_runs()
pages = resp.get("links", {}).get("pages", {})
while "next" in pages:
parsed = urlparse(pages["next"])
page = int(parse_qs(parsed.query)["page"][0])
resp = client.genai.list_model_evaluation_runs(page=page)
pages = resp.get("links", {}).get("pages", {})Response Example
More Information
See /v2/gen-ai/model_evaluation_runs in the API reference for additional detail on responses, headers, parameters, and more.