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边缘智能

边缘智能

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边缘推理
ListModel - 获取模型列表
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ListModel - 获取模型列表

调用本接口获取模型信息列表。

调试

请求参数

下表仅列出该接口特有的请求参数和部分公共参数。更多信息请见公共参数

参数
类型
是否必填
示例值
描述
Action
String

ListModel

要执行的操作,取值:ListModel。

Version
String

2022-01-01

API的版本,取值:2022-01-01。

page_index
Integer

1

设置要返回的页码。
模型默认按照创建时间降序排列。您可以设置 created_orderby 或 updated_orderby 来修改排序方式。

created_orderby
String

0

按创建时间对模型排序。该参数有以下取值:

  • 0(默认):按创建时间降序
  • 1:按创建时间升序
updated_orderby
Integer

0

按更新时间对模型排序。该参数有以下取值:

  • 0:按更新时间降序
  • 1:按更新时间升序
page_size
Integer

10

设置单页包含的最大模型数。

kind
Integer

2

要查询的模型的类型。该参数有以下取值:

  • 1(默认):用户自定义模型(即您上传的模型)
  • 2:平台官方模型
model_name
String

口罩检测

使用模型名称进行模糊查询。

project_id
String

p-2100001281-zf9ll

模型所属边缘智能空间ID。

您可以调用ListProject接口获取所有边缘智能空间ID。

返回参数

下表仅列出本接口特有的返回参数。更多信息请参见返回结构

参数
类型
示例值
描述
pageinator
Object

分页信息。

kind
Integer

2

模型的类型。该参数有以下取值:

  • 1:用户自定义模型
  • 2:平台官方模型
items
Array of Object

模型对象列表。

请求示例

POST /?Action=ListModel&Version=2022-01-01 HTTP/1.1
Host: vei-api.volcengineapi.com
Content-Type: application/json; charset=UTF-8
X-Date: 20250417T091739Z
X-Content-Sha256: 287e874e******d653b44d21e
Authorization: HMAC-SHA256 Credential=Adfks******wekfwe/20250417/cn-beijing/vei_api/request, SignedHeaders=host;x-content-sha256;x-date, Signature=47a7d934ff7b37c03938******cd7b8278a40a1057690c401e92246a0e41085f

{
  "page_index": 1,
  "page_size": 10,
  "kind": 2,
  "model_name": "口罩检测"
}

返回示例

{
  "ResponseMetadata": {
    "RequestId": "202504211426253162973277F93B34561D",
    "Action": "ListModel",
    "Version": "2022-01-01",
    "Service": "vei_api",
    "Region": "cn-beijing"
  },
  "Result": {
    "items": [
      {
        "model_id": "m-official-42",
        "model_name": "口罩检测-02-YOLOX-ONNX",
        "model_framework": 2,
        "update_time": "1728559378",
        "create_time": "1728559378",
        "online_num": 0,
        "offline_num": 0,
        "desc": "基于YOLOX的口罩检测ONNX模型",
        "kind": 2,
        "input": [
          {
            "name": "images",
            "data_type": 12,
            "dims": [
              3,
              640,
              640
            ]
          }
        ],
        "output": [
          {
            "name": "output",
            "data_type": 12,
            "dims": [
              -1,
              -1
            ]
          }
        ],
        "model_versions": [
          {
            "model_id": "m-official-42",
            "version_name": "v1",
            "deploy_num": 0,
            "desc": "",
            "create_time": "1728559378",
            "status": 2,
            "version_id": "mv-official-61",
            "able_delete": {
              "able": true
            },
            "recommend_config": {
              "model_process": "mp-official-13",
              "max_batch_size": 4,
              "service_config": [
                {
                  "model_id": "m-official-42",
                  "model_name": "口罩检测-02-YOLOX-ONNX",
                  "cpu_count": 1,
                  "gpu_count": 0
                }
              ]
            },
            "able_deploy": {
              "able": true
            },
            "able_edit": {
              "able": false,
              "reasons": [
                "当前版本已发布,不支持编辑"
              ]
            },
            "able_release": {
              "able": false,
              "reasons": [
                "当前版本已发布"
              ]
            },
            "model_source": 1,
            "model_path": "/models/m-official-42"
          }
        ],
        "tags": [
          {
            "tag_name": "object_detection",
            "display_name": "物体检测"
          }
        ],
        "enable_crypto": true,
        "doc_url": "https://www.volcengine.com/docs/6893/1347452",
        "able_delete": {
          "able": false,
          "reasons": [
            "存在1个版本",
            "存在1个前后处理版本"
          ]
        },
        "framework_name": "ONNX",
        "hardware_info": {
          "gpu_only": false,
          "arch": [
            "amd",
            "arm"
          ]
        },
        "clone_status": 1,
        "is_llm": false,
        "infer_framework_kind": 1
      },
      {
        "model_id": "m-official-1",
        "model_name": "口罩检测-01-PPLCNet-ONNX",
        "model_framework": 2,
        "update_time": "1722942672",
        "create_time": "1698837369",
        "online_num": 0,
        "offline_num": 0,
        "desc": "基于PaddlePaddle框架的PPLCNet口罩检测模型",
        "kind": 2,
        "input": [
          {
            "name": "x",
            "data_type": 12,
            "dims": [
              3,
              224,
              224
            ],
            "format": 1
          }
        ],
        "output": [
          {
            "name": "softmax_1.tmp_0",
            "data_type": 12,
            "dims": [
              2
            ]
          }
        ],
        "model_versions": [
          {
            "model_id": "m-official-1",
            "version_name": "v1",
            "deploy_num": 0,
            "desc": "",
            "create_time": "1698837369",
            "status": 2,
            "version_id": "mv-official-1",
            "able_delete": {
              "able": true
            },
            "recommend_config": {
              "model_process": "mp-official-1",
              "max_batch_size": 4,
              "service_config": [
                {
                  "model_id": "m-official-1",
                  "model_name": "口罩检测-01-PPLCNet-ONNX",
                  "cpu_count": 1,
                  "gpu_count": 0
                }
              ]
            },
            "able_deploy": {
              "able": true
            },
            "able_edit": {
              "able": false,
              "reasons": [
                "当前版本已发布,不支持编辑"
              ]
            },
            "able_release": {
              "able": false,
              "reasons": [
                "当前版本已发布"
              ]
            },
            "model_source": 1,
            "model_path": "/models/m-official-1"
          }
        ],
        "tags": [
          {
            "tag_name": "object_detection",
            "display_name": "物体检测"
          }
        ],
        "enable_crypto": true,
        "doc_url": "https://www.volcengine.com/docs/6893/1114021",
        "able_delete": {
          "able": false,
          "reasons": [
            "存在1个版本",
            "存在1个前后处理版本"
          ]
        },
        "framework_name": "ONNX",
        "hardware_info": {
          "gpu_only": false,
          "arch": [
            "amd",
            "arm"
          ]
        },
        "clone_status": 1,
        "is_llm": false,
        "infer_framework_kind": 1
      }
    ],
    "pageinator": {
      "index": 1,
      "size": 10,
      "total_pages": 1,
      "total_items": 2
    },
    "kind": 2,
    "base_resp": {
      "StatusMessage": "",
      "StatusCode": 0
    }
  }
}

错误码

下表为您列举了该接口与业务逻辑相关的错误码。公共错误码请参见公共错误码文档。

状态码
错误码
错误信息
说明
400
90000015

The account is not authenticated by real name

账号未实名认证。

400
90000021

The account is not authorized to access project

越权访问其他账号下的空间。

400
30010001

参数字段为空

参数字段为空。

400
30010002

参数校验不合法

参数校验不合法。

400
30010004

数据不存在

数据不存在。

500
90000009

Internal service errors

服务内部错误。

500
30010003

Mongo数据库错误

Mongo数据库错误。

最近更新时间:2025.10.23 10:47:29
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