ListModels-阿里云帮助中心

Queries a list of models that meet specified conditions by instance ID.

Operation description

This API operation retrieves a list of models from a specified instance. You can filter results by model name, type, and pagination parameters. Provide the instance ID as a path parameter. Other filter conditions are optional query parameters.

Try it now

Try this API in OpenAPI Explorer, no manual signing needed. Successful calls auto-generate SDK code matching your parameters. Download it with built-in credential security for local usage.

Test

RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

searchengine:ListModels

list

*Instance

acs:searchengine:{#regionId}:{#accountId}:instance/{#InstanceId}

None

Request syntax

GET /openapi/ha3/instances/{instanceId}/models HTTP/1.1

Path Parameters

Parameter	Type	Required	Description	Example
instanceId	string	Yes	The instance ID.	ha-cn-test

Request parameters

Parameter	Type	Required	Description	Example
name	string	No	The model name.	test1
type	string	No	The model type.	text_embedding
pageNumber	integer	No	The page number. Default value: 1.	1
pageSize	integer	No	The number of entries per page. Default value: 10.	10

Response elements

Element	Type	Description	Example
	object	The response includes the request ID and a model list. Each element in the model list contains detailed model information such as name, type, URL, and status.
requestId	string	The request ID.	38b079f1-7846-4226-8c90-3e2644b5c52b
totalCount	integer	The total number of entries.	14
result	array<object>	The model list. For more information, see Model.
	array<object>	The model information.
name	string	The model name.	test
type	string	The model type. a. Text embedding: text_embedding b. Text sparse embedding: text_sparse_embedding c. Image embedding: image_embedding d. Image content analysis: image_analyze.	text_embedding
url	string	The access URL of the model service.	http://***.platform-cn-shanghai.opensearch.aliyuncs.com/v3/openapi/workspaces/default/text-embedding/ops-text-embedding-001
status	string	The model status. Valid values: ok: The model is available. forbidden: The model is unavailable.	ok
dimension	integer	The dimension of the model.	128
content	object	The content information of the model.
modelName	string	The model name.	test
modelType	string	The model type. Text embedding: text_embedding Text sparse embedding: text_sparse_embedding Image embedding: image_embedding Image content parsing: image_analyze	text_embedding
url	string	The endpoint of the model service.	http://***.platform-cn-shanghai.opensearch.aliyuncs.com/v3/openapi/workspaces/default/text-embedding/ops-text-embedding-001
method	string	The HTTP method to access the model service. Supported methods are PUT and POST.	POST
request	object	The request configuration.
header	object	The HTTP header to access the model service.
Authorization	string	The authentication information. Format: Bearer access_token	Bearer OS-v0********6vvs
Content-Type	string	The HTTP request content type.	application/json
urlParams	object	The parameters in the URL. Some model services require that parameters are passed in the URL.
build	object	The parameters passed during index building.	key: value
search	object	The parameters passed during a query.	key: value
requestBody	string	The template string for the request body.	{\"input\": [\"%{input}\"], \"input_type\": \"%{input_type}\"}
parameters	object	If body parameters must differ between the build and search phases, define them in this object.
build	object	The parameters for the index building phase.
input_type	string	The input type.	query
search	object	The parameters for the query phase.
input_type	string	The input type.	document
response	object	The JSONPath expression used to parse the result.
embeddings	string	The JSONPath expression used to parse the result.	$.result.embeddings[*].embedding
createTime	string	The creation time.	2024-05-21 16:05:26
updateTime	string	The last modification time.	2024-05-21 16:05:26

Examples

Success response

JSON format

{
  "requestId": "38b079f1-7846-4226-8c90-3e2644b5c52b",
  "totalCount": 14,
  "result": [
    {
      "name": "test",
      "type": "text_embedding",
      "url": "http://***.platform-cn-shanghai.opensearch.aliyuncs.com/v3/openapi/workspaces/default/text-embedding/ops-text-embedding-001",
      "status": "ok",
      "dimension": 128,
      "content": {
        "modelName": "test",
        "modelType": "text_embedding",
        "url": "http://***.platform-cn-shanghai.opensearch.aliyuncs.com/v3/openapi/workspaces/default/text-embedding/ops-text-embedding-001",
        "method": "POST",
        "request": {
          "header": {
            "Authorization": "Bearer OS-v0********6vvs\n",
            "Content-Type": "application/json\n"
          },
          "urlParams": {
            "build": {
              "test": "test",
              "test2": 1
            },
            "search": {
              "test": "test",
              "test2": 1
            }
          },
          "requestBody": "{\\\"input\\\": [\\\"%{input}\\\"], \\\"input_type\\\": \\\"%{input_type}\\\"}",
          "parameters": {
            "build": {
              "input_type": "query\n"
            },
            "search": {
              "input_type": "document\n"
            }
          }
        },
        "response": {
          "embeddings": "$.result.embeddings[*].embedding\n"
        }
      },
      "createTime": "2024-05-21 16:05:26",
      "updateTime": "2024-05-21 16:05:26"
    }
  ]
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.