API Information
-
Endpoint:
https://aihubmix.com/v1/moderations -
Request Method:
POST -
Authentication:
Authorization: Bearer <AIHUBMIX_API_KEY> -
Content-Type:
application/json -
This endpoint suporta two models:
-
omni-moderation-latest: This model and all snapshots support more classification options and multimodal input. -
text-moderation-latest: Suporta only text input, with fewer classification options.
-
Início Rápido
Usage Example
import openai
client = openai.OpenAI(
api_key="AIHUBMIX_API_KEY",
base_url="https://aihubmix.com/v1"
)
response = client.moderations.create(
model="text-moderation-latest",
input="The Yangtze River rolls eastward, its waves washing away heroes. Right and wrong, success and failure, all seem empty; the green hills remain, though the sun sets many times. The white-haired fisherman and woodcutter on the riverbank, accustomed to watching the autumn moon and spring breeze. A pot of turbid wine brings joy in meeting, how many events through time are all laughed off.",
)
print(response)
import openai
client = openai.OpenAI(
api_key="AIHUBMIX_API_KEY",
base_url="https://aihubmix.com/v1"
)
response = client.moderations.create(
model="omni-moderation-latest",
input=[
{"type": "text", "text": "The image depicts a male, with his arms raised, body tense, head tilted back, mouth open, showing extreme agitation or anger."},
{
"type": "image_url",
"image_url": {
"url": "https://thumbs.dreamstime.com/b/violent-man-furious-straining-arms-looking-up-concept-person-35012557.jpg",
# can also use base64 encoded image URLs
# "url": "data:image/jpeg;base64,abcdefg..."
}
},
],
)
print(response)
Exemplo de Saída
Here is a complete output example, where the model correctly predicts self-harm and violence elements no image.{
"id": "modr-5175",
"model": "omni-moderation-latest",
"results": [
{
"flagged": true,
"categories": {
"harassment": false,
"harassment_threatening": false,
"hate": false,
"hate_threatening": false,
"illicit": false,
"illicit_violent": false,
"self_harm": true,
"self_harm_instructions": false,
"self_harm_intent": false,
"sexual": false,
"sexual_minors": false,
"violence": true,
"violence_graphic": true
},
"category_applied_input_types": {
"harassment": ["text"],
"harassment_threatening": ["text"],
"hate": ["text"],
"hate_threatening": ["text"],
"illicit": ["text"],
"illicit_violent": ["text"],
"self_harm": ["text", "image"],
"self_harm_instructions": ["text", "image"],
"self_harm_intent": ["text", "image"],
"sexual": ["text", "image"],
"sexual_minors": ["text"],
"violence": ["text", "image"],
"violence_graphic": ["text", "image"]
},
"category_scores": {
"harassment": 0.00507676338091392,
"harassment_threatening": 0.0008967480822931635,
"hate": 8.830458477845481e-05,
"hate_threatening": 1.0720880092159908e-05,
"illicit": 3.740956047302422e-05,
"illicit_violent": 2.868540823874629e-05,
"self_harm": 0.6967791744783793,
"self_harm_instructions": 0.00027978227581033677,
"self_harm_intent": 0.0003781080988395418,
"sexual": 0.0007007652612809208,
"sexual_minors": 2.5071593847983196e-06,
"violence": 0.5236158587905301,
"violence_graphic": 0.4213528687243541
}
}
]
}
| Output Category | Description |
|---|---|
flagged | Set to true if the model classifies the content as potentially harmful,false otherwise. |
categories | Contains a dictionary of per-category violation flags. For each category, the value is true if the model flags the corresponding category as violated, false otherwise. |
category_scores | Contains a dictionary of per-category scores output by the model, denoting the model’s confidence that the input violates the OpenAI’s policy for the category. The value is between 0 and 1, where higher values denote higher confidence. |
category_applied_input_types | This property contains information on which input types were flagged no response, for each category. Por exemplo, if the both the image and text inputs to the model are flagged for “violence/graphic”, the violence/graphic property will be set to ["image", "text"]. This is only available on omni models. |
Content Categories
The table below describes the types of content that the moderation API can detect, along com o models and input types supported for each category.Categories labeled “text-only” do not support image input. If you send only images to the model (without text) using
omni-moderation-latest, the model will return a score of 0 for these unsupported categories.| Category | Description | Model | Input |
|---|---|---|---|
harassment | Content that expresses, incites, or promotes harassing language towards any target. | All | Text only |
harassment/threatening | Harassment content that also includes violence or serious harm towards any target. | All | Text only |
hate | Content that expresses, incites, or promotes hate based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. Hateful content aimed at non-protected groups (p. ex., chess players) is harassment. | All | Text only |
hate/threatening | Hateful content that also includes violence or serious harm towards the targeted group based on race, gender, ethnicity, religion, nationality, sexual orientation, disability status, or caste. | All | Text only |
illicit | The same types of content flagged by the illicit category, but also includes references to violence or procuring a weapon. | Omni only | Text only |
illicit/violent | Similar to the content type marked illicit, but also includes mentions of violence or acquiring weapons. | Omni only | Text only |
self-harm | Content that promotes, encourages, or depicts acts of self-harm, como suicide, cutting, and eating disorders. | All | Text and Images |
self-harm/intent | Content where the speaker expresses that they are engaging or intend to engage in acts of self-harm, como suicide, cutting, and eating disorders. | All | Text and Images |
self-harm/instructions | Content that encourages performing acts of self-harm, como suicide, cutting, and eating disorders, or that gives instructions or advice on how to commit such acts. | All | Text and Images |
sexual | Content meant to arouse sexual excitement, como the description of sexual activity, or that promotes sexual services (excluding sex education and wellness). | All | Text and Images |
sexual/minors | Sexual content that includes an individual who is under 18 years old. | All | Text only |
violence | Content that depicts death, violence, or physical injury. | All | Text and Images |
violence/graphic | Content that depicts death, violence, or physical injury in graphic detail. | All | Text and Images |
Última atualização: 2026-06-01