Help Center> ModelArts> API Reference> Service Management> Obtaining Inference Service Tags

Updated on 2024-03-21 GMT+08:00

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Obtaining Inference Service Tags

Function

This API is used to obtain inference service tags in the current project. Tags in all workspaces are obtained by default. If you do not have the permission, no tag is returned.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

URI

GET /v1/{project_id}/services/tms/tags

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details, see Obtaining a Project ID and Name.

Request Parameters

**Table 2** Request header parameters
Parameter	Mandatory	Type	Description
X-Auth-Token	Yes	String	User token, which can be obtained by calling the IAM API that is used for obtaining a user token. The value of X-Subject-Token in the response header is the user token.
Content-Type	Yes	String	This field is set to application/json;charset=utf8.

Response Parameters

Status code: 200

**Table 3** Response body parameters
Parameter	Type	Description
tags	Array of CombineTmsTags objects	Indicates the convergence structure of tags. Tags with the same key are combined.

**Table 4** CombineTmsTags
Parameter	Type	Description
key	String	Tag key.
values	Array of strings	List of combined tag values with the same key.

Status code: 400

**Table 5** Response body parameters
Parameter	Type	Description
error_code	String	Error codes of ModelArts
error_msg	String	Error message

Status code: 401

**Table 6** Response body parameters
Parameter	Type	Description
error_code	String	Error codes of ModelArts
error_msg	String	Error message

Status code: 403

**Table 7** Response body parameters
Parameter	Type	Description
error_code	String	Error codes of ModelArts
error_msg	String	Error message

Example Requests

https://{endpoint}/v1/{project_id}/services/tms/tags

Example Responses

Status code: 200

All service tags of the project are returned.

{
  "tags" : [ {
    "key" : "model_version",
    "values" : [ "0.1", "0.2" ]
  }, {
    "key" : "conda_version",
    "values" : [ "10.2", "11.0" ]
  } ]
}