Update

API Reference

Agents

Evaluation Metrics

Workspaces

Update a Workspace

client.agents.evaluationMetrics.workspaces.update(stringworkspaceUuid, WorkspaceUpdateParams { description, name, workspace_uuid } body?, RequestOptionsoptions?): WorkspaceUpdateResponse { workspace }

put/v2/gen-ai/workspaces/{workspace_uuid}

To update a workspace, send a PUT request to /v2/gen-ai/workspaces/{workspace_uuid}. The response body is a JSON object containing the workspace.

ParametersExpand Collapse

workspaceUuid: string

body: WorkspaceUpdateParams { description, name, workspace_uuid }

description?: string

The new description of the workspace

name?: string

The new name of the workspace

workspace_uuid?: string

Workspace UUID.

ReturnsExpand Collapse

WorkspaceUpdateResponse { workspace }

workspace?: APIWorkspace { agents, created_at, created_by, 7 more }

agents?: Array<APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more } >

Agents

APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more }

An Agent

anthropic_api_key?: APIAnthropicAPIKeyInfo { created_at, created_by, deleted_at, 3 more }

Anthropic API Key Info

created_at?: string

Key creation date

formatdate-time

created_by?: string

Created by user id from DO

formatuint64

deleted_at?: string

Key deleted date

formatdate-time

name?: string

Name

updated_at?: string

Key last updated date

formatdate-time

uuid?: string

Uuid

api_key_infos?: Array<APIAgentAPIKeyInfo { created_at, created_by, deleted_at, 3 more } >

Api key infos

created_at?: string

Creation date

formatdate-time

created_by?: string

Created by

formatuint64

deleted_at?: string

Deleted date

formatdate-time

name?: string

Name

secret_key?: string

uuid?: string

Uuid

api_keys?: Array<APIKey>

Api keys

api_key?: string

Api key

chatbot?: Chatbot { button_background_color, logo, name, 3 more }

A Chatbot

button_background_color?: string

logo?: string

name?: string

Name of chatbot

primary_color?: string

secondary_color?: string

starting_message?: string

chatbot_identifiers?: Array<ChatbotIdentifier>

Chatbot identifiers

agent_chatbot_identifier?: string

Agent chatbot identifier

child_agents?: Array<APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more } >

Child agents

APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more }

conversation_logs_enabled?: boolean

Whether conversation logs are enabled for the agent

created_at?: string

Creation date / time

formatdate-time

deployment?: Deployment { created_at, name, status, 4 more }

Description of deployment

created_at?: string

Creation date / time

formatdate-time

name?: string

Name

status?: "STATUS_UNKNOWN" | "STATUS_WAITING_FOR_DEPLOYMENT" | "STATUS_DEPLOYING" | 6 more

Accepts one of the following:

"STATUS_UNKNOWN"

"STATUS_WAITING_FOR_DEPLOYMENT"

"STATUS_DEPLOYING"

"STATUS_RUNNING"

"STATUS_FAILED"

"STATUS_WAITING_FOR_UNDEPLOYMENT"

"STATUS_UNDEPLOYING"

"STATUS_UNDEPLOYMENT_FAILED"

"STATUS_DELETED"

updated_at?: string

Last modified

formatdate-time

url?: string

Access your deployed agent here

uuid?: string

Unique id

visibility?: APIDeploymentVisibility

• VISIBILITY_UNKNOWN: The status of the deployment is unknown
• VISIBILITY_DISABLED: The deployment is disabled and will no longer service requests
• VISIBILITY_PLAYGROUND: Deprecated: No longer a valid state
• VISIBILITY_PUBLIC: The deployment is public and will service requests from the public internet
• VISIBILITY_PRIVATE: The deployment is private and will only service requests from other agents, or through API keys

Accepts one of the following:

"VISIBILITY_UNKNOWN"

"VISIBILITY_DISABLED"

"VISIBILITY_PLAYGROUND"

"VISIBILITY_PUBLIC"

"VISIBILITY_PRIVATE"

description?: string

Description of agent

functions?: Array<Function>

api_key?: string

Api key

created_at?: string

Creation date / time

formatdate-time

created_by?: string

Created by user id from DO

formatuint64

description?: string

Agent description

faas_name?: string

faas_namespace?: string

input_schema?: unknown

name?: string

Name

output_schema?: unknown

updated_at?: string

Last modified

formatdate-time

url?: string

Download your agent here

uuid?: string

Unique id

guardrails?: Array<Guardrail>

The guardrails the agent is attached to

agent_uuid?: string

created_at?: string

default_response?: string

description?: string

guardrail_uuid?: string

is_attached?: boolean

is_default?: boolean

metadata?: unknown

name?: string

priority?: number

type?: "GUARDRAIL_TYPE_UNKNOWN" | "GUARDRAIL_TYPE_JAILBREAK" | "GUARDRAIL_TYPE_SENSITIVE_DATA" | "GUARDRAIL_TYPE_CONTENT_MODERATION"

Accepts one of the following:

"GUARDRAIL_TYPE_UNKNOWN"

"GUARDRAIL_TYPE_JAILBREAK"

"GUARDRAIL_TYPE_SENSITIVE_DATA"

"GUARDRAIL_TYPE_CONTENT_MODERATION"

updated_at?: string

uuid?: string

if_case?: string

instruction?: string

Agent instruction. Instructions help your agent to perform its job effectively. See Write Effective Agent Instructions for best practices.

k?: number

knowledge_bases?: Array<APIKnowledgeBase { added_to_agent_at, created_at, database_id, 10 more } >

Knowledge bases

added_to_agent_at?: string

Time when the knowledge base was added to the agent

formatdate-time

created_at?: string

Creation date / time

formatdate-time

database_id?: string

embedding_model_uuid?: string

is_public?: boolean

Whether the knowledge base is public or not

last_indexing_job?: APIIndexingJob { completed_datasources, created_at, data_source_uuids, 12 more }

IndexingJob description

completed_datasources?: number

Number of datasources indexed completed

formatint64

created_at?: string

Creation date / time

formatdate-time

data_source_uuids?: Array<string>

finished_at?: string

knowledge_base_uuid?: string

Knowledge base id

phase?: "BATCH_JOB_PHASE_UNKNOWN" | "BATCH_JOB_PHASE_PENDING" | "BATCH_JOB_PHASE_RUNNING" | 4 more

Accepts one of the following:

"BATCH_JOB_PHASE_UNKNOWN"

"BATCH_JOB_PHASE_PENDING"

"BATCH_JOB_PHASE_RUNNING"

"BATCH_JOB_PHASE_SUCCEEDED"

"BATCH_JOB_PHASE_FAILED"

"BATCH_JOB_PHASE_ERROR"

"BATCH_JOB_PHASE_CANCELLED"

started_at?: string

status?: "INDEX_JOB_STATUS_UNKNOWN" | "INDEX_JOB_STATUS_PARTIAL" | "INDEX_JOB_STATUS_IN_PROGRESS" | 4 more

Accepts one of the following:

"INDEX_JOB_STATUS_UNKNOWN"

"INDEX_JOB_STATUS_PARTIAL"

"INDEX_JOB_STATUS_IN_PROGRESS"

"INDEX_JOB_STATUS_COMPLETED"

"INDEX_JOB_STATUS_FAILED"

"INDEX_JOB_STATUS_NO_CHANGES"

"INDEX_JOB_STATUS_PENDING"

tokens?: number

Number of tokens

formatint64

total_datasources?: number

Number of datasources being indexed

formatint64

total_items_failed?: string

Total Items Failed

formatuint64

total_items_indexed?: string

Total Items Indexed

formatuint64

total_items_skipped?: string

Total Items Skipped

formatuint64

updated_at?: string

Last modified

formatdate-time

uuid?: string

Unique id

name?: string

Name of knowledge base

project_id?: string

region?: string

Region code

tags?: Array<string>

Tags to organize related resources

updated_at?: string

Last modified

formatdate-time

user_id?: string

Id of user that created the knowledge base

formatint64

uuid?: string

Unique id for knowledge base

logging_config?: LoggingConfig { galileo_project_id, galileo_project_name, insights_enabled, 3 more }

galileo_project_id?: string

Galileo project identifier

galileo_project_name?: string

Name of the Galileo project

insights_enabled?: boolean

Whether insights are enabled

insights_enabled_at?: string

Timestamp when insights were enabled

formatdate-time

log_stream_id?: string

Identifier for the log stream

log_stream_name?: string

Name of the log stream

max_tokens?: number

model?: APIAgentModel { agreement, created_at, inference_name, 12 more }

Description of a Model

agreement?: APIAgreement { description, name, url, uuid }

Agreement Description

description?: string

name?: string

url?: string

uuid?: string

created_at?: string

Creation date / time

formatdate-time

inference_name?: string

Internally used name

inference_version?: string

Internally used version

is_foundational?: boolean

True if it is a foundational model provided by do

metadata?: unknown

Additional meta data

name?: string

Name of the model

parent_uuid?: string

Unique id of the model, this model is based on

provider?: "MODEL_PROVIDER_DIGITALOCEAN" | "MODEL_PROVIDER_ANTHROPIC" | "MODEL_PROVIDER_OPENAI"

Accepts one of the following:

"MODEL_PROVIDER_DIGITALOCEAN"

"MODEL_PROVIDER_ANTHROPIC"

"MODEL_PROVIDER_OPENAI"

updated_at?: string

Last modified

formatdate-time

upload_complete?: boolean

Model has been fully uploaded

url?: string

Download url

usecases?: Array<"MODEL_USECASE_UNKNOWN" | "MODEL_USECASE_AGENT" | "MODEL_USECASE_FINETUNED" | 4 more>

Usecases of the model

Accepts one of the following:

"MODEL_USECASE_UNKNOWN"

"MODEL_USECASE_AGENT"

"MODEL_USECASE_FINETUNED"

"MODEL_USECASE_KNOWLEDGEBASE"

"MODEL_USECASE_GUARDRAIL"

"MODEL_USECASE_REASONING"

"MODEL_USECASE_SERVERLESS"

uuid?: string

Unique id

version?: APIModelVersion { major, minor, patch }

Version Information about a Model

major?: number

Major version number

formatint64

minor?: number

Minor version number

formatint64

patch?: number

Patch version number

formatint64

name?: string

Agent name

openai_api_key?: APIOpenAIAPIKeyInfo { created_at, created_by, deleted_at, 4 more }

OpenAI API Key Info

created_at?: string

Key creation date

formatdate-time

created_by?: string

Created by user id from DO

formatuint64

deleted_at?: string

Key deleted date

formatdate-time

models?: Array<APIAgentModel { agreement, created_at, inference_name, 12 more } >

Models supported by the openAI api key

agreement?: APIAgreement { description, name, url, uuid }

Agreement Description

description?: string

name?: string

url?: string

uuid?: string

created_at?: string

Creation date / time

formatdate-time

inference_name?: string

Internally used name

inference_version?: string

Internally used version

is_foundational?: boolean

True if it is a foundational model provided by do

metadata?: unknown

Additional meta data

name?: string

Name of the model

parent_uuid?: string

Unique id of the model, this model is based on

provider?: "MODEL_PROVIDER_DIGITALOCEAN" | "MODEL_PROVIDER_ANTHROPIC" | "MODEL_PROVIDER_OPENAI"

Accepts one of the following:

"MODEL_PROVIDER_DIGITALOCEAN"

"MODEL_PROVIDER_ANTHROPIC"

"MODEL_PROVIDER_OPENAI"

updated_at?: string

Last modified

formatdate-time

upload_complete?: boolean

Model has been fully uploaded

url?: string

Download url

usecases?: Array<"MODEL_USECASE_UNKNOWN" | "MODEL_USECASE_AGENT" | "MODEL_USECASE_FINETUNED" | 4 more>

Usecases of the model

Accepts one of the following:

"MODEL_USECASE_UNKNOWN"

"MODEL_USECASE_AGENT"

"MODEL_USECASE_FINETUNED"

"MODEL_USECASE_KNOWLEDGEBASE"

"MODEL_USECASE_GUARDRAIL"

"MODEL_USECASE_REASONING"

"MODEL_USECASE_SERVERLESS"

uuid?: string

Unique id

version?: APIModelVersion { major, minor, patch }

Version Information about a Model

major?: number

Major version number

formatint64

minor?: number

Minor version number

formatint64

patch?: number

Patch version number

formatint64

name?: string

Name

updated_at?: string

Key last updated date

formatdate-time

uuid?: string

Uuid

parent_agents?: Array<APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more } >

Parent agents

APIAgent { anthropic_api_key, api_key_infos, api_keys, 37 more }

project_id?: string

provide_citations?: boolean

Whether the agent should provide in-response citations

region?: string

Region code

retrieval_method?: APIRetrievalMethod

• RETRIEVAL_METHOD_UNKNOWN: The retrieval method is unknown
• RETRIEVAL_METHOD_REWRITE: The retrieval method is rewrite
• RETRIEVAL_METHOD_STEP_BACK: The retrieval method is step back
• RETRIEVAL_METHOD_SUB_QUERIES: The retrieval method is sub queries
• RETRIEVAL_METHOD_NONE: The retrieval method is none

Accepts one of the following:

"RETRIEVAL_METHOD_UNKNOWN"

"RETRIEVAL_METHOD_REWRITE"

"RETRIEVAL_METHOD_STEP_BACK"

"RETRIEVAL_METHOD_SUB_QUERIES"

"RETRIEVAL_METHOD_NONE"

route_created_at?: string

Creation of route date / time

formatdate-time

route_created_by?: string

route_name?: string

Route name

route_uuid?: string

tags?: Array<string>

Agent tag to organize related resources

temperature?: number

template?: Template { created_at, description, guardrails, 15 more }

Represents an AgentTemplate entity

created_at?: string

The agent template's creation date

formatdate-time

description?: string

Deprecated - Use summary instead

guardrails?: Array<Guardrail>

List of guardrails associated with the agent template

priority?: number

Priority of the guardrail

formatint32

uuid?: string

Uuid of the guardrail

instruction?: string

Instructions for the agent template

k?: number

The 'k' value for the agent template

formatint64

knowledge_bases?: Array<APIKnowledgeBase { added_to_agent_at, created_at, database_id, 10 more } >

List of knowledge bases associated with the agent template

added_to_agent_at?: string

Time when the knowledge base was added to the agent

formatdate-time

created_at?: string

Creation date / time

formatdate-time

database_id?: string

embedding_model_uuid?: string

is_public?: boolean

Whether the knowledge base is public or not

last_indexing_job?: APIIndexingJob { completed_datasources, created_at, data_source_uuids, 12 more }

IndexingJob description

completed_datasources?: number

Number of datasources indexed completed

formatint64

created_at?: string

Creation date / time

formatdate-time

data_source_uuids?: Array<string>

finished_at?: string

knowledge_base_uuid?: string

Knowledge base id

phase?: "BATCH_JOB_PHASE_UNKNOWN" | "BATCH_JOB_PHASE_PENDING" | "BATCH_JOB_PHASE_RUNNING" | 4 more

Accepts one of the following:

"BATCH_JOB_PHASE_UNKNOWN"

"BATCH_JOB_PHASE_PENDING"

"BATCH_JOB_PHASE_RUNNING"

"BATCH_JOB_PHASE_SUCCEEDED"

"BATCH_JOB_PHASE_FAILED"

"BATCH_JOB_PHASE_ERROR"

"BATCH_JOB_PHASE_CANCELLED"

started_at?: string

status?: "INDEX_JOB_STATUS_UNKNOWN" | "INDEX_JOB_STATUS_PARTIAL" | "INDEX_JOB_STATUS_IN_PROGRESS" | 4 more

Accepts one of the following:

"INDEX_JOB_STATUS_UNKNOWN"

"INDEX_JOB_STATUS_PARTIAL"

"INDEX_JOB_STATUS_IN_PROGRESS"

"INDEX_JOB_STATUS_COMPLETED"

"INDEX_JOB_STATUS_FAILED"

"INDEX_JOB_STATUS_NO_CHANGES"

"INDEX_JOB_STATUS_PENDING"

tokens?: number

Number of tokens

formatint64

total_datasources?: number

Number of datasources being indexed

formatint64

total_items_failed?: string

Total Items Failed

formatuint64

total_items_indexed?: string

Total Items Indexed

formatuint64

total_items_skipped?: string

Total Items Skipped

formatuint64

updated_at?: string

Last modified

formatdate-time

uuid?: string

Unique id

name?: string

Name of knowledge base

project_id?: string

region?: string

Region code

tags?: Array<string>

Tags to organize related resources

updated_at?: string

Last modified

formatdate-time

user_id?: string

Id of user that created the knowledge base

formatint64

uuid?: string

Unique id for knowledge base

long_description?: string

The long description of the agent template

max_tokens?: number

The max_tokens setting for the agent template

formatint64

model?: APIAgentModel { agreement, created_at, inference_name, 12 more }

Description of a Model

agreement?: APIAgreement { description, name, url, uuid }

Agreement Description

description?: string

name?: string

url?: string

uuid?: string

created_at?: string

Creation date / time

formatdate-time

inference_name?: string

Internally used name

inference_version?: string

Internally used version

is_foundational?: boolean

True if it is a foundational model provided by do

metadata?: unknown

Additional meta data

name?: string

Name of the model

parent_uuid?: string

Unique id of the model, this model is based on

provider?: "MODEL_PROVIDER_DIGITALOCEAN" | "MODEL_PROVIDER_ANTHROPIC" | "MODEL_PROVIDER_OPENAI"

Accepts one of the following:

"MODEL_PROVIDER_DIGITALOCEAN"

"MODEL_PROVIDER_ANTHROPIC"

"MODEL_PROVIDER_OPENAI"

updated_at?: string

Last modified

formatdate-time

upload_complete?: boolean

Model has been fully uploaded

url?: string

Download url

usecases?: Array<"MODEL_USECASE_UNKNOWN" | "MODEL_USECASE_AGENT" | "MODEL_USECASE_FINETUNED" | 4 more>

Usecases of the model

Accepts one of the following:

"MODEL_USECASE_UNKNOWN"

"MODEL_USECASE_AGENT"

"MODEL_USECASE_FINETUNED"

"MODEL_USECASE_KNOWLEDGEBASE"

"MODEL_USECASE_GUARDRAIL"

"MODEL_USECASE_REASONING"

"MODEL_USECASE_SERVERLESS"

uuid?: string

Unique id

version?: APIModelVersion { major, minor, patch }

Version Information about a Model

major?: number

Major version number

formatint64

minor?: number

Minor version number

formatint64

patch?: number

Patch version number

formatint64

name?: string

Name of the agent template

short_description?: string

The short description of the agent template

summary?: string

The summary of the agent template

tags?: Array<string>

List of tags associated with the agent template

temperature?: number

The temperature setting for the agent template

formatfloat

template_type?: "AGENT_TEMPLATE_TYPE_STANDARD" | "AGENT_TEMPLATE_TYPE_ONE_CLICK"

• AGENT_TEMPLATE_TYPE_STANDARD: The standard agent template
• AGENT_TEMPLATE_TYPE_ONE_CLICK: The one click agent template

Accepts one of the following:

"AGENT_TEMPLATE_TYPE_STANDARD"

"AGENT_TEMPLATE_TYPE_ONE_CLICK"

top_p?: number

The top_p setting for the agent template

formatfloat

updated_at?: string

The agent template's last updated date

formatdate-time

uuid?: string

Unique id

top_p?: number

updated_at?: string

Last modified

formatdate-time

url?: string

Access your agent under this url

user_id?: string

Id of user that created the agent

formatuint64

uuid?: string

Unique agent id

version_hash?: string

The latest version of the agent

workspace?: APIWorkspace { agents, created_at, created_by, 7 more }

created_at?: string

Creation date

formatdate-time

created_by?: string

The id of user who created this workspace

formatuint64

created_by_email?: string

The email of the user who created this workspace

deleted_at?: string

Deleted date

formatdate-time

description?: string

Description of the workspace

evaluation_test_cases?: Array<APIEvaluationTestCase { archived_at, created_at, created_by_user_email, 15 more } >

Evaluations

archived_at?: string

created_at?: string

created_by_user_email?: string

created_by_user_id?: string

dataset?: Dataset { created_at, dataset_name, dataset_uuid, 3 more }

created_at?: string

Time created at.

formatdate-time

dataset_name?: string

Name of the dataset.

dataset_uuid?: string

UUID of the dataset.

file_size?: string

The size of the dataset uploaded file in bytes.

formatuint64

has_ground_truth?: boolean

Does the dataset have a ground truth column?

row_count?: number

Number of rows in the dataset.

formatint64

dataset_name?: string

dataset_uuid?: string

description?: string

latest_version_number_of_runs?: number

metrics?: Array<APIEvaluationMetric { description, inverted, metric_name, 5 more } >

description?: string

inverted?: boolean

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

metric_name?: string

metric_type?: "METRIC_TYPE_UNSPECIFIED" | "METRIC_TYPE_GENERAL_QUALITY" | "METRIC_TYPE_RAG_AND_TOOL"

Accepts one of the following:

"METRIC_TYPE_UNSPECIFIED"

"METRIC_TYPE_GENERAL_QUALITY"

"METRIC_TYPE_RAG_AND_TOOL"

metric_uuid?: string

metric_value_type?: "METRIC_VALUE_TYPE_UNSPECIFIED" | "METRIC_VALUE_TYPE_NUMBER" | "METRIC_VALUE_TYPE_STRING" | "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?: number

The maximum value for the metric.

formatfloat

range_min?: number

The minimum value for the metric.

formatfloat

name?: string

star_metric?: APIStarMetric { metric_uuid, name, success_threshold, success_threshold_pct }

metric_uuid?: string

name?: string

success_threshold?: 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?: number

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

formatint32

test_case_uuid?: string

total_runs?: number

updated_at?: string

updated_by_user_email?: string

updated_by_user_id?: string

version?: number

name?: string

Name of the workspace

updated_at?: string

Update date

formatdate-time

uuid?: string

Unique id

Update a Workspace

typescript

• http
• typescript
• python

import Gradient from '@digitalocean/gradient';

const client = new Gradient();

const workspace = await client.agents.evaluationMetrics.workspaces.update(
  '"123e4567-e89b-12d3-a456-426614174000"',
);

console.log(workspace.workspace);

200 example

{
  "workspace": {
    "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

200 example

{
  "workspace": {
    "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"
  }
}