创建内容审核 - Let'sAPI-全链路API聚合

请求参数

Authorization

在 Header 添加参数

Authorization

，其值为在 Bearer 之后拼接 Token

示例：

Authorization: Bearer ********************

Header 参数

Authorization

string

可选

示例值:

Bearer {{YOUR_API_KEY}}

Body 参数application/json

input

string

要分类的输入文本

必需

model

string

必需

有两种内容审核模型可用：text-moderation-stable和text-moderation-latest。默认值text-moderation-latest将随着时间的推移自动升级。这可确保您始终使用我们最准确的模型。如果您使用text-moderation-stable，我们将在更新模型之前提供提前通知。的准确度text-moderation-stable可能略低于的准确度text-moderation-latest。

示例

{
    "model": "omni-moderation-latest",
    "input": [
      { "type": "text", "text": "...text to classify goes here..." },
      {
        "type": "image_url",
        "image_url": {
          "url": "https://github.com/dianping/cat/raw/master/cat-home/src/main/webapp/images/logo/cat_logo03.png"
        }
      }
    ]
  }

示例代码

Shell

JavaScript

Java

Swift

Go

PHP

Python

HTTP

C

C#

Objective-C

Ruby

OCaml

Dart

R

curl --location --request POST 'https://api.aigc369.com/v1/moderations' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "omni-moderation-latest",
    "input": [
      { "type": "text", "text": "...text to classify goes here..." },
      {
        "type": "image_url",
        "image_url": {
          "url": "https://github.com/dianping/cat/raw/master/cat-home/src/main/webapp/images/logo/cat_logo03.png"
        }
      }
    ]
  }'

返回响应

🟢200Create moderation

application/json

Body

id

string

必需

审核任务的唯一标识符

model

string

用于审核的模型

必需

results

array [object {3}]

审核结果的详细信息

必需

categories

object

可选

审核模型检测到的所有分类标签

category_scores

object

可选

审核模型对所有分类标签的得分

flagged

boolean

可选

审核模型是否将输入内容标记为可疑内容

示例

{
    "id": "modr-5MWoLO",
    "model": "text-moderation-001",
    "results": [
        {
            "categories": {
                "hate": false,
                "hate/threatening": true,
                "self-harm": false,
                "sexual": false,
                "sexual/minors": false,
                "violence": true,
                "violence/graphic": false
            },
            "category_scores": {
                "hate": 0.22714105248451233,
                "hate/threatening": 0.4132447838783264,
                "self-harm": 0.005232391878962517,
                "sexual": 0.01407341007143259,
                "sexual/minors": 0.0038522258400917053,
                "violence": 0.9223177433013916,
                "violence/graphic": 0.036865197122097015
            },
            "flagged": true
        }
    ]
}