MODERATION

Base-Path:

https://api.hyprlab.io/v1

Moderation Path:

https://api.hyprlab.io/v1/moderations

Moderate Text Input:

Curl:

curl https://api.hyprlab.io/v1/moderations \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HYPRLAB_API_KEY" \
  -d '{
    "model": "omni-moderation-latest",
    "input": "...text to classify goes here..."
  }'

Node.js:

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "<HYPRLAB_API_KEY>",
  baseURL: "https://api.hyprlab.io/v1",
});

const moderation = await openai.moderations.create({
    model: "omni-moderation-latest",
    input: "...text to classify goes here...",
});

console.log(moderation);

Python:

from openai import OpenAI

client = OpenAI(
    api_key="<HYPRLAB_API_KEY>",
    base_url="https://api.hyprlab.io/v1",
)

response = client.moderations.create(
    model="omni-moderation-latest",
    input="...text to classify goes here...",
)

print(response)

---

Moderate Image and Text:

Curl:

curl https://api.hyprlab.io/v1/moderations \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $HYPRLAB_API_KEY" \
  -d '{
    "model": "omni-moderation-latest",
    "input": [
      { "type": "text", "text": "...text to classify goes here..." },
      {
        "type": "image_url",
        "image_url": {
          "url": "https://example.com/image.png"
        }
      }
    ]
  }'

Node.js:

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: "<HYPRLAB_API_KEY>",
  baseURL: "https://api.hyprlab.io/v1",
});

const moderation = await openai.moderations.create({
    model: "omni-moderation-latest",
    input: [
        { type: "text", text: "...text to classify goes here..." },
        {
            type: "image_url",
            image_url: {
                url: "https://example.com/image.png"
                // can also use base64 encoded image URLs
                // url: "data:image/jpeg;base64,abcdefg..."
            }
        }
    ],
});

console.log(moderation);

Python:

from openai import OpenAI

client = OpenAI(
    api_key="<HYPRLAB_API_KEY>",
    base_url="https://api.hyprlab.io/v1",
)

response = client.moderations.create(
    model="omni-moderation-latest",
    input=[
        {"type": "text", "text": "...text to classify goes here..."},
        {
            "type": "image_url",
            "image_url": {
                "url": "https://example.com/image.png",
                # can also use base64 encoded image URLs
                # "url": "data:image/jpeg;base64,abcdefg..."
            }
        },
    ],
)

print(response)

SEE MORE: https://platform.openai.com/docs/guides/moderation

---

Moderation Models

---

Model Name:	Usage:	Max tokens:
omni-moderation-latest	Free-to-Use	32,768
omni-moderation-2024-09-26	Free-to-Use	32,768
text-moderation-latest	Free-to-Use	32,768
text-moderation-stable	Free-to-Use	32,768
text-moderation-007	Free-to-Use	32,768

---