OhMyGPT
Moderations

Create moderation

POST
/v1/moderations

Classify text and images against the model's content policy categories, in the OpenAI Moderations format.

Authorization

ApiKeyAuth
headerAuthorization<token>

Request Body

application/json
  1. body
input*|array<>|array<|>

Input (or inputs) to classify. Can be a single string, an array of strings, or an array of multi-modal input objects similar to other models.

model?|

The content moderation model you would like to use. Learn more in the moderation guide, and learn about available models here.

Default"omni-moderation-latest"

Response Body

Successful response

application/json
  1. response

Represents if a given text input is potentially harmful.

id*string

The unique identifier for the moderation request.

model*string

The model used to generate the moderation results.

results*array<>

A list of moderation objects.

Example Request
curl -X POST 'https://api.ohmygpt.com/v1/moderations' \  -H 'Content-Type: application/json' \  -d '{  "input": ""}'
Example Response
{  "id": "string",  "model": "string",  "results": [    {      "categories": {        "harassment": true,        "harassment/threatening": true,        "hate": true,        "hate/threatening": true,        "illicit": true,        "illicit/violent": true,        "self-harm": true,        "self-harm/instructions": true,        "self-harm/intent": true,        "sexual": true,        "sexual/minors": true,        "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"        ],        "self-harm/instructions": [          "text"        ],        "self-harm/intent": [          "text"        ],        "sexual": [          "text"        ],        "sexual/minors": [          "text"        ],        "violence": [          "text"        ],        "violence/graphic": [          "text"        ]      },      "category_scores": {        "harassment": 0,        "harassment/threatening": 0,        "hate": 0,        "hate/threatening": 0,        "illicit": 0,        "illicit/violent": 0,        "self-harm": 0,        "self-harm/instructions": 0,        "self-harm/intent": 0,        "sexual": 0,        "sexual/minors": 0,        "violence": 0,        "violence/graphic": 0      },      "flagged": true    }  ]}

List models GET

Returns the models you can call, in an OpenAI-compatible format. A model no provider can currently serve is left out, since every request to it would fail; set `include_unavailable=true` to list it with `available: false`, or retrieve it by ID. Filters are limited to facts derivable from the catalog and enabled route pricing; category and arch are conservative derived mappings, so an unknown value is not treated as a match.

Recognize document text POST

Extract the text of a document or image. Send the document in the model's own field: `file` (a URL or base64 data) for Zhipu GLM-OCR, `document` for Mistral OCR. Other fields go to the model unchanged, and the response is the model's own. Billed per page or by tokens, as listed in each model's pricing.