Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Method: projects.locations.studies.trials.list

Lists the Trials associated with a Study.

Endpoint

get https://{service-endpoint}/v1/{parent}/trials

Where {service-endpoint} is one of the supported service endpoints.

Path parameters

parent string

Required. The resource name of the Study to list the Trial from. Format: projects/{project}/locations/{location}/studies/{study}

Query parameters

pageToken string

Optional. A page token to request the next page of results. If unspecified, there are no subsequent pages.

pageSize integer

Optional. The number of Trials to retrieve per "page" of results. If unspecified, the service will pick an appropriate default.

Request body

The request body must be empty.

Response body

Response message for VizierService.ListTrials.

If successful, the response body contains data with the following structure:

Fields

trials[] object (Trial)

The Trials associated with the Study.

nextPageToken string

Pass this token as the pageToken field of the request for a subsequent call. If this field is omitted, there are no subsequent pages.

JSON representation
{ "trials": [ { object (`Trial`) } ], "nextPageToken": string }