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List Workspaces
get/v2/gen-ai/workspaces

To list all workspaces, send a GET request to /v2/gen-ai/workspaces.

ReturnsExpand Collapse
workspaces: optional array of APIWorkspace { agents, created_at, created_by, 7 more }

Workspaces

agents: optional array of APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more }

Agents

created_at: optional string

Creation date

formatdate-time
created_by: optional string

The id of user who created this workspace

formatuint64
created_by_email: optional string

The email of the user who created this workspace

deleted_at: optional string

Deleted date

formatdate-time
description: optional string

Description of the workspace

evaluation_test_cases: optional array of APIEvaluationTestCase { archived_at, created_at, created_by_user_email, 15 more }

Evaluations

archived_at: optional string
created_at: optional string
created_by_user_email: optional string
created_by_user_id: optional string
dataset: optional object { created_at, dataset_name, dataset_uuid, 3 more }
created_at: optional string

Time created at.

formatdate-time
dataset_name: optional string

Name of the dataset.

dataset_uuid: optional string

UUID of the dataset.

file_size: optional string

The size of the dataset uploaded file in bytes.

formatuint64
has_ground_truth: optional boolean

Does the dataset have a ground truth column?

row_count: optional number

Number of rows in the dataset.

formatint64
dataset_name: optional string
dataset_uuid: optional string
description: optional string
latest_version_number_of_runs: optional number
metrics: optional array of APIEvaluationMetric { description, inverted, metric_name, 5 more }
description: optional string
inverted: optional boolean

If true, the metric is inverted, meaning that a lower value is better.

metric_name: optional string
metric_type: optional "METRIC_TYPE_UNSPECIFIED" or "METRIC_TYPE_GENERAL_QUALITY" or "METRIC_TYPE_RAG_AND_TOOL"
Accepts one of the following:
"METRIC_TYPE_UNSPECIFIED"
"METRIC_TYPE_GENERAL_QUALITY"
"METRIC_TYPE_RAG_AND_TOOL"
metric_uuid: optional string
metric_value_type: optional "METRIC_VALUE_TYPE_UNSPECIFIED" or "METRIC_VALUE_TYPE_NUMBER" or "METRIC_VALUE_TYPE_STRING" or "METRIC_VALUE_TYPE_PERCENTAGE"
Accepts one of the following:
"METRIC_VALUE_TYPE_UNSPECIFIED"
"METRIC_VALUE_TYPE_NUMBER"
"METRIC_VALUE_TYPE_STRING"
"METRIC_VALUE_TYPE_PERCENTAGE"
range_max: optional number

The maximum value for the metric.

formatfloat
range_min: optional number

The minimum value for the metric.

formatfloat
name: optional string
star_metric: optional APIStarMetric { metric_uuid, name, success_threshold, success_threshold_pct }
metric_uuid: optional string
name: optional string
success_threshold: optional number

The success threshold for the star metric. This is a value that the metric must reach to be considered successful.

formatfloat
success_threshold_pct: optional number

The success threshold for the star metric. This is a percentage value between 0 and 100.

formatint32
test_case_uuid: optional string
total_runs: optional number
updated_at: optional string
updated_by_user_email: optional string
updated_by_user_id: optional string
version: optional number
name: optional string

Name of the workspace

updated_at: optional string

Update date

formatdate-time
uuid: optional string

Unique id

List Workspaces
curl https://api.digitalocean.com/v2/gen-ai/workspaces \
    -H "Authorization: Bearer $DIGITALOCEAN_ACCESS_TOKEN"
{
  "workspaces": [
    {
      "agents": [],
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "created_by_email": "[email protected]",
      "deleted_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "evaluation_test_cases": [
        {
          "archived_at": "2023-01-01T00:00:00Z",
          "created_at": "2023-01-01T00:00:00Z",
          "created_by_user_email": "[email protected]",
          "created_by_user_id": "12345",
          "dataset": {
            "created_at": "2023-01-01T00:00:00Z",
            "dataset_name": "example name",
            "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "file_size": "12345",
            "has_ground_truth": true,
            "row_count": 123
          },
          "dataset_name": "example name",
          "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "description": "example string",
          "latest_version_number_of_runs": 123,
          "metrics": [
            {
              "description": "example string",
              "inverted": true,
              "metric_name": "example name",
              "metric_type": "METRIC_TYPE_UNSPECIFIED",
              "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
              "metric_value_type": "METRIC_VALUE_TYPE_UNSPECIFIED",
              "range_max": 123,
              "range_min": 123
            }
          ],
          "name": "example name",
          "star_metric": {
            "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "name": "example name",
            "success_threshold": 123,
            "success_threshold_pct": 123
          },
          "test_case_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "total_runs": 123,
          "updated_at": "2023-01-01T00:00:00Z",
          "updated_by_user_email": "[email protected]",
          "updated_by_user_id": "12345",
          "version": 123
        }
      ],
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    }
  ]
}
Returns Examples
{
  "workspaces": [
    {
      "agents": [],
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "created_by_email": "[email protected]",
      "deleted_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "evaluation_test_cases": [
        {
          "archived_at": "2023-01-01T00:00:00Z",
          "created_at": "2023-01-01T00:00:00Z",
          "created_by_user_email": "[email protected]",
          "created_by_user_id": "12345",
          "dataset": {
            "created_at": "2023-01-01T00:00:00Z",
            "dataset_name": "example name",
            "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "file_size": "12345",
            "has_ground_truth": true,
            "row_count": 123
          },
          "dataset_name": "example name",
          "dataset_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "description": "example string",
          "latest_version_number_of_runs": 123,
          "metrics": [
            {
              "description": "example string",
              "inverted": true,
              "metric_name": "example name",
              "metric_type": "METRIC_TYPE_UNSPECIFIED",
              "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
              "metric_value_type": "METRIC_VALUE_TYPE_UNSPECIFIED",
              "range_max": 123,
              "range_min": 123
            }
          ],
          "name": "example name",
          "star_metric": {
            "metric_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "name": "example name",
            "success_threshold": 123,
            "success_threshold_pct": 123
          },
          "test_case_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "total_runs": 123,
          "updated_at": "2023-01-01T00:00:00Z",
          "updated_by_user_email": "[email protected]",
          "updated_by_user_id": "12345",
          "version": 123
        }
      ],
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    }
  ]
}