# nsfw-classifier

> NSFW check for images and text

This file is intended for AI coding agents wiring an application to this specific Chutes model.

## Important URLs

- Model page: https://chutes.ai/app/chute/vonkaiser-nsfw-classifier
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-nsfw-classifier/llms.txt
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- OpenAPI schema: https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `nsfw-classifier`
- Chute ID: `49e41e9c-275e-5877-bd61-30c7bef0cf47`
- Slug: `vonkaiser-nsfw-classifier`
- Owner: `vonkaiser`

## Authentication

- Use `Authorization: Bearer $CHUTES_API_KEY` for inference calls.
- Send JSON request bodies with `Content-Type: application/json` unless the endpoint documentation says otherwise.
- The request body is FLAT — send the request fields at the top level (no `input_args`/`args` wrapper).
- This model is served on its own host (`https://vonkaiser-nsfw-classifier.chutes.ai`). Call the endpoint paths listed below directly.
- For base64 media fields, send raw base64 strings in API requests. The web playground may use temporary Blob upload references internally for large files before proxying to Chutes.

## Endpoints

### 1. POST /image

- Base URL: `https://vonkaiser-nsfw-classifier.chutes.ai`
- Output content type: `application/json`
- Playground note: Submit an image or text sample and inspect the returned label plus confidence.

Request fields:

- `image_b64` (string, required)

Example call:

```bash
# NOTE: replace the image_b64 placeholder(s) with real base64 data first.
curl -X POST "https://vonkaiser-nsfw-classifier.chutes.ai/image" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "image_b64": "<base64-encoded image>"
}'
```

### 2. POST /text

- Base URL: `https://vonkaiser-nsfw-classifier.chutes.ai`
- Output content type: `application/json`
- Playground note: Submit an image or text sample and inspect the returned label plus confidence.

Request fields:

- `text` (string, required)

Example call:

```bash
curl -X POST "https://vonkaiser-nsfw-classifier.chutes.ai/text" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "text": "Your text here"
}'
```

## Agent Integration Checklist

- Pick the endpoint path that matches the desired task.
- Set `CHUTES_API_KEY` in the server-side environment only.
- Validate required fields before sending requests.
- For media models, keep file upload, base64 conversion, and output preview/download handling explicit in the app UI.