# checkToxicityImage

## Description

Check toxicity of an image provided a valid URL. It has two different models to check the toxicity, one is \[bumble]\(<https://github.com/bumble-tech/private-detector>) and second is Yahoo \[Open NSFW]\(<https://github.com/yahoo/open_nsfw>) model.

## Parameters

| Parameter | Type   | Description |
| --------- | ------ | ----------- |
| imageUrl  | string | image URL   |

## Response

| Parameter | Type   | Description                                                                                                                                                                             |
| --------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| message   | string | message about the response                                                                                                                                                              |
| status    | int    | <p>1 for successfull execution</p><p>-1 for any error occurs during the execution of the request</p>                                                                                    |
| response  | object | <p>this will have three properties<br>bumble - toxicity score of bumble model<br>opennfsw - toxicity score of open nsfw model<br>is\_toxic - true for toxic and false for not toxic</p> |

## Example Request and Response

### Prerequisites

Before making requests with Volary SDK, you must have it installed.

You can install Volary SDK using either `npm` or `yarn`. Use the following commands to install Volary SDK:

```sh
npm install @nest25/ai-core-sdk
OR
yarn add @nest25/ai-core-sdk
```

## Request

Here is an example of how to make a `checkToxicityImage` request using the Volary SDK:

```javascript
// import the ai-core-sdk
import {AIServices} from '@nest25/ai-core-sdk';

// create a new instance of the sdk
const aiServices = new AIServices();

async function main() {
  // get the result of the test
  const result = await aiServices.checkToxicityImage('https://ik.imagekit.io/BIOSPHERE/1678716455079_PTj9bkO9d.jpeg');
  console.log(result);
}

main();
```

## Response

```json
{
    "message": "Request successful",
    "response": {
        "bumble": 94.26363110542297,
        "is_toxic": true,
        "nsfw": 99.0408182144165
    },
    "status": 1
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.volary.io/sdks-guide/ai-guide/check-toxicity/checktoxicityimage.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.