Zukijourney

https://github.com/zukijourney/api-oss
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### GET /v1/models

Source: https://context7.com/zukijourney/api-oss/llms.txt

List all available AI models with their capabilities and pricing tiers.

```APIDOC
## GET /v1/models

### Description
Retrieves a list of all available AI models, including their features and pricing information.

### Method
GET

### Endpoint
https://api.zukijourney.com/v1/models

### Parameters
None

### Request Example
```bash
curl -X GET "https://api.zukijourney.com/v1/models" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx"
```

### Response
#### Success Response (200)
- **an_easier_overview_available_here** (string) - A URL providing a more user-friendly overview of models.
- **object** (string) - The type of object returned, typically "list".
- **data** (array) - An array of model objects.
  - **id** (string) - The unique identifier for the model.
  - **object** (string) - The type of object, typically "model".
  - **owned_by** (string) - The entity that owns the model (e.g., "openai").
  - **is_free** (boolean) - Indicates if the model is available for free.

#### Response Example
```json
{
  "an_easier_overview_available_here": "https://docs.zukijourney.com/models",
  "object": "list",
  "data": [
    {
      "id": "gpt-4o",
      "object": "model",
      "owned_by": "openai",
      "is_free": true
    },
    {
      "id": "gpt-4",
      "object": "model",
      "owned_by": "openai",
      "is_free": false
    }
  ]
}
```
```

--------------------------------

### Text Embeddings API Requests

Source: https://context7.com/zukijourney/api-oss/llms.txt

Examples for generating single and batch text embeddings using cURL.

```bash
# Single text embedding
curl -X POST "https://api.zukijourney.com/v1/embeddings" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox jumps over the lazy dog."
  }'
```

```bash
# Batch embeddings with dimensions
curl -X POST "https://api.zukijourney.com/v1/embeddings" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-large",
    "input": ["First document to embed", "Second document to embed"],
    "dimensions": 1536
  }'
```

--------------------------------

### Chat Completions API Requests

Source: https://context7.com/zukijourney/api-oss/llms.txt

Examples for standard, streaming, vision-enabled, and tool-calling chat completion requests using cURL.

```bash
# Basic chat completion
curl -X POST "https://api.zukijourney.com/v1/chat/completions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Explain quantum computing in simple terms."}
    ],
    "temperature": 0.7,
    "max_tokens": 500
  }'
```

```bash
# Streaming chat completion
curl -X POST "https://api.zukijourney.com/v1/chat/completions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{"role": "user", "content": "Write a haiku about programming."}],
    "stream": true
  }'
```

```bash
# Vision request with image
curl -X POST "https://api.zukijourney.com/v1/chat/completions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "user",
        "content": [
          {"type": "text", "text": "What is in this image?"},
          {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg", "detail": "auto"}}
        ]
      }
    ]
  }'
```

```bash
# Tool/Function calling
curl -X POST "https://api.zukijourney.com/v1/chat/completions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "What is the weather in Tokyo?"}],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_weather",
          "description": "Get current weather for a location",
          "parameters": {
            "type": "object",
            "properties": {"location": {"type": "string"}},
            "required": ["location"]
          }
        }
      }
    ],
    "tool_choice": "auto"
  }'
```

--------------------------------

### API Error Response Examples

Source: https://context7.com/zukijourney/api-oss/llms.txt

Common JSON error structures returned by the API for various failure scenarios.

```json
{
  "detail": "No API key was provided in the request. Please include your API key in the Authorization header as \"Bearer <your_key>\". If you don't have an API key, get one at: https://discord.gg/zukijourney"
}
```

```json
{
  "detail": "Insufficient credits to process this request. You currently have 100 credits available, but this operation requires 500 credits. Either upgrade your subscription tier, or wait for your credits to be replenished."
}
```

```json
{
  "detail": "The model `invalid-model` does not exist. Please check our model documentation at https://docs.zukijourney.com/models for a list of available models."
}
```

```json
{
  "error": {
    "message": "No sub-providers were found for the specified model. Try again later.",
    "provider_id": "oai",
    "type": "sub_provider_error",
    "code": 503
  }
}
```

```json
{
  "detail": "IP address mismatch detected. For security reasons, free tier accounts are limited to one IP address. Your current IP address does not match the one registered to your account."
}
```

--------------------------------

### List available AI models via cURL

Source: https://context7.com/zukijourney/api-oss/llms.txt

Retrieves a list of all supported AI models, their ownership, and pricing status.

```bash
curl -X GET "https://api.zukijourney.com/v1/models" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx"
```

--------------------------------

### Generate Image with DALL-E 3

Source: https://context7.com/zukijourney/api-oss/llms.txt

Use this endpoint to create images from text prompts with DALL-E 3. Specify image size and optionally include negative prompts to refine results.

```bash
# Generate an image
curl -X POST "https://api.zukijourney.com/v1/images/generations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dall-e-3",
    "prompt": "A futuristic cityscape at sunset with flying cars",
    "n": 1,
    "size": "1024x1024"
  }'
```

```json
# Response
{
  "provider_id": "oai",
  "created": 1699000000,
  "data": [
    {
      "url": "https://oai-generated-images.example.com/image123.png",
      "revised_prompt": "A futuristic cityscape at sunset..."
    }
  ]
}
```

```bash
# Image with negative prompt
curl -X POST "https://api.zukijourney.com/v1/images/generations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dall-e-3",
    "prompt": "A serene mountain landscape with a lake",
    "size": "1792x1024",
    "negative_prompt": "people, buildings, cars"
  }'
```

--------------------------------

### Generate Speech from Text

Source: https://context7.com/zukijourney/api-oss/llms.txt

Convert text into spoken audio using various voices. The standard tier returns MP3, while the HD tier offers higher quality.

```bash
# Generate speech from text
curl -X POST "https://api.zukijourney.com/v1/audio/speech" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "input": "Hello! Welcome to Zukijourney, your AI services platform.",
    "voice": "alloy"
  }' \
  --output speech.mp3
```

```bash
# High-definition TTS (paid tier)
curl -X POST "https://api.zukijourney.com/v1/audio/speech" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1-hd",
    "input": "This is high-definition text-to-speech output.",
    "voice": "nova"
  }' \
  --output speech_hd.mp3
```

```text
# Response: Binary audio/mpeg data with Content-Disposition: attachment;filename=audio.mp3
```

--------------------------------

### Translate Audio to English

Source: https://context7.com/zukijourney/api-oss/llms.txt

Translate audio content from any language into English text. This endpoint handles both transcription and translation via file upload.

```bash
# Translate audio to English
curl -X POST "https://api.zukijourney.com/v1/audio/translations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=whisper-1" \
  -F "file=@/path/to/foreign_audio.mp3"
```

```json
# Response
{
  "provider_id": "oai",
  "text": "This is the English translation of the foreign language audio."
}
```

--------------------------------

### Image Generation API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Generates images from text prompts using models like DALL-E 3. Supports various sizes and optional negative prompts.

```APIDOC
## POST /v1/images/generations

### Description
Generates images from text prompts.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/images/generations

### Parameters
#### Request Body
- **model** (string) - Required - The model to use for image generation (e.g., "dall-e-3").
- **prompt** (string) - Required - The text prompt to generate an image from.
- **n** (integer) - Optional - The number of images to generate.
- **size** (string) - Optional - The size of the generated images (e.g., "1024x1024").
- **negative_prompt** (string) - Optional - A prompt to exclude unwanted elements from the generated image.

### Request Example
```json
{
  "model": "dall-e-3",
  "prompt": "A futuristic cityscape at sunset with flying cars",
  "n": 1,
  "size": "1024x1024"
}
```

### Response
#### Success Response (200)
- **provider_id** (string) - The ID of the image provider.
- **created** (integer) - The timestamp when the image was created.
- **data** (array) - An array of generated image objects.
  - **url** (string) - The URL of the generated image.
  - **revised_prompt** (string) - The revised prompt used for generation.

#### Response Example
```json
{
  "provider_id": "oai",
  "created": 1699000000,
  "data": [
    {
      "url": "https://oai-generated-images.example.com/image123.png",
      "revised_prompt": "A futuristic cityscape at sunset..."
    }
  ]
}
```
```

--------------------------------

### POST /v1/chat/completions

Source: https://context7.com/zukijourney/api-oss/llms.txt

Generates AI responses based on conversation messages. Supports streaming, vision inputs, and tool/function calling.

```APIDOC
## POST /v1/chat/completions

### Description
Generates AI responses based on conversation messages. Supports streaming responses, vision (image input), tool/function calling, and various model parameters.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/chat/completions

### Request Body
- **model** (string) - Required - The ID of the model to use.
- **messages** (array) - Required - A list of messages comprising the conversation.
- **temperature** (number) - Optional - Sampling temperature.
- **max_tokens** (integer) - Optional - Maximum number of tokens to generate.
- **stream** (boolean) - Optional - Whether to stream the response.
- **tools** (array) - Optional - A list of tools the model may call.
- **tool_choice** (string) - Optional - Controls which tool is called.

### Request Example
{
  "model": "gpt-4o",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Explain quantum computing in simple terms."}
  ],
  "temperature": 0.7,
  "max_tokens": 500
}

### Response
#### Success Response (200)
- **id** (string) - Unique identifier for the completion.
- **choices** (array) - List of completion choices.
- **usage** (object) - Token usage statistics.

#### Response Example
{
  "provider_id": "oai",
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1699000000,
  "model": "gpt-4o",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Quantum computing uses quantum bits (qubits) that can exist in multiple states simultaneously..."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {"prompt_tokens": 25, "completion_tokens": 150, "total_tokens": 175}
}
```

--------------------------------

### Upscale Image

Source: https://context7.com/zukijourney/api-oss/llms.txt

Enhance image resolution using this endpoint. It requires a file upload via multipart form data.

```bash
# Upscale an image
curl -X POST "https://api.zukijourney.com/v1/images/upscale" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=upscaler-model" \
  -F "file=@/path/to/image.jpg"
```

```text
# Response: Returns upscaled image binary data
```

--------------------------------

### Transcribe Audio to Text

Source: https://context7.com/zukijourney/api-oss/llms.txt

Convert spoken audio into text using the Whisper model. This endpoint accepts audio file uploads.

```bash
# Transcribe audio file
curl -X POST "https://api.zukijourney.com/v1/audio/transcriptions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=whisper-1" \
  -F "file=@/path/to/audio.mp3"
```

```json
# Response
{
  "provider_id": "oai",
  "text": "This is the transcribed text from the audio file."
}
```

--------------------------------

### POST /v1/moderations

Source: https://context7.com/zukijourney/api-oss/llms.txt

Moderate multiple texts to check for harmful content.

```APIDOC
## POST /v1/moderations

### Description
This endpoint allows you to moderate multiple text inputs to detect potentially harmful content across various categories.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/moderations

### Parameters
#### Request Body
- **model** (string) - Required - The ID of the moderation model to use (e.g., "omni-moderation-latest").
- **input** (array of strings) - Required - An array of strings, where each string is a piece of text to be moderated.

### Request Example
```json
{
  "model": "omni-moderation-latest",
  "input": ["First text to check", "Second text to check"]
}
```

### Response
#### Success Response (200)
- **provider_id** (string) - The ID of the content provider.
- **id** (string) - The unique identifier for the moderation request.
- **model** (string) - The ID of the moderation model used.
- **results** (array) - An array of results, one for each input text.
  - **flagged** (boolean) - Indicates if the text was flagged as potentially harmful.
  - **categories** (object) - An object containing boolean flags for different content categories (hate, hate/threatening, self-harm, sexual, violence).
  - **category_scores** (object) - An object containing the confidence scores for each category.

#### Response Example
```json
{
  "provider_id": "oai",
  "id": "modr-abc123",
  "model": "omni-moderation-latest",
  "results": [
    {
      "flagged": false,
      "categories": {
        "hate": false,
        "hate/threatening": false,
        "self-harm": false,
        "sexual": false,
        "violence": false
      },
      "category_scores": {
        "hate": 0.0001,
        "hate/threatening": 0.00001,
        "self-harm": 0.00002,
        "sexual": 0.00001,
        "violence": 0.00003
      }
    }
  ]
}
```
```

--------------------------------

### Text-to-Speech (Audio Speech) API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Converts text to spoken audio in MP3 format. Supports different voices and models.

```APIDOC
## POST /v1/audio/speech

### Description
Converts text into spoken audio.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/audio/speech

### Parameters
#### Request Body
- **model** (string) - Required - The TTS model to use (e.g., "tts-1", "tts-1-hd").
- **input** (string) - Required - The text to convert to speech.
- **voice** (string) - Required - The voice to use for the speech (e.g., "alloy", "nova").

### Request Example
```json
{
  "model": "tts-1",
  "input": "Hello! Welcome to Zukijourney, your AI services platform.",
  "voice": "alloy"
}
```

### Response
#### Success Response (200)
- Binary audio/mpeg data. The `Content-Disposition` header will indicate the filename (e.g., `attachment;filename=audio.mp3`).
```

--------------------------------

### Error Handling

Source: https://context7.com/zukijourney/api-oss/llms.txt

Details on common error responses and their meanings.

```APIDOC
## Error Handling

All endpoints return consistent error responses with detailed messages for troubleshooting.

### Authentication Error (401)
```json
{
  "detail": "No API key was provided in the request. Please include your API key in the Authorization header as \"Bearer <your_key>\". If you don't have an API key, get one at: https://discord.gg/zukijourney"
}
```

### Insufficient Credits Error (429)
```json
{
  "detail": "Insufficient credits to process this request. You currently have 100 credits available, but this operation requires 500 credits. Either upgrade your subscription tier, or wait for your credits to be replenished."
}
```

### Model Not Found Error (400)
```json
{
  "detail": "The model `invalid-model` does not exist. Please check our model documentation at https://docs.zukijourney.com/models for a list of available models."
}
```

### No Provider Available Error (503)
```json
{
  "error": {
    "message": "No sub-providers were found for the specified model. Try again later.",
    "provider_id": "oai",
    "type": "sub_provider_error",
    "code": 503
  }
}
```

### IP Mismatch Error (403) - Free Tier Only
```json
{
  "detail": "IP address mismatch detected. For security reasons, free tier accounts are limited to one IP address. Your current IP address does not match the one registered to your account."
}
```
```

--------------------------------

### Image Upscaling API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Enhances image resolution by uploading an image file. Uses multipart form data for file upload.

```APIDOC
## POST /v1/images/upscale

### Description
Enhances the resolution of an image.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/images/upscale

### Parameters
#### Request Body
- **model** (string) - Required - The upscaling model to use (e.g., "upscaler-model").
- **file** (file) - Required - The image file to upscale.

### Request Example
```bash
curl -X POST "https://api.zukijourney.com/v1/images/upscale" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=upscaler-model" \
  -F "file=@/path/to/image.jpg"
```

### Response
#### Success Response (200)
- Binary audio/mpeg data representing the upscaled image.
```

--------------------------------

### Audio Translation API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Translates audio in any language to English text using the Whisper model.

```APIDOC
## POST /v1/audio/translations

### Description
Translates audio from any language into English text.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/audio/translations

### Parameters
#### Request Body
- **model** (string) - Required - The translation model to use (e.g., "whisper-1").
- **file** (file) - Required - The audio file to translate.

### Request Example
```bash
curl -X POST "https://api.zukijourney.com/v1/audio/translations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=whisper-1" \
  -F "file=@/path/to/foreign_audio.mp3"
```

### Response
#### Success Response (200)
- **provider_id** (string) - The ID of the translation provider.
- **text** (string) - The translated English text from the audio file.

#### Response Example
```json
{
  "provider_id": "oai",
  "text": "This is the English translation of the foreign language audio."
}
```
```

--------------------------------

### Moderate Text Content

Source: https://context7.com/zukijourney/api-oss/llms.txt

Analyze text for harmful content categories such as hate speech, violence, self-harm, and sexual content. Supports single strings or arrays of text.

```bash
# Moderate single text
curl -X POST "https://api.zukijourney.com/v1/moderations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "omni-moderation-latest",
    "input": "Text content to analyze for policy violations."
  }'
```

--------------------------------

### Audio Transcription API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Converts speech from an audio file to text using the Whisper model.

```APIDOC
## POST /v1/audio/transcriptions

### Description
Transcribes speech from an audio file into text.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/audio/transcriptions

### Parameters
#### Request Body
- **model** (string) - Required - The transcription model to use (e.g., "whisper-1").
- **file** (file) - Required - The audio file to transcribe.

### Request Example
```bash
curl -X POST "https://api.zukijourney.com/v1/audio/transcriptions" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -F "model=whisper-1" \
  -F "file=@/path/to/audio.mp3"
```

### Response
#### Success Response (200)
- **provider_id** (string) - The ID of the transcription provider.
- **text** (string) - The transcribed text from the audio file.

#### Response Example
```json
{
  "provider_id": "oai",
  "text": "This is the transcribed text from the audio file."
}
```
```

--------------------------------

### Moderate multiple texts via cURL

Source: https://context7.com/zukijourney/api-oss/llms.txt

Sends a list of strings to the moderation endpoint to check for policy violations.

```bash
curl -X POST "https://api.zukijourney.com/v1/moderations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "omni-moderation-latest",
    "input": ["First text to check", "Second text to check"]
  }'
```

--------------------------------

### POST /v1/embeddings

Source: https://context7.com/zukijourney/api-oss/llms.txt

Converts text into vector representations for semantic search, clustering, and similarity comparisons.

```APIDOC
## POST /v1/embeddings

### Description
Converts text into vector representations for semantic search, clustering, and similarity comparisons. Accepts single strings, arrays of strings, or token arrays.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/embeddings

### Request Body
- **model** (string) - Required - The ID of the model to use.
- **input** (string/array) - Required - The text to embed.
- **dimensions** (integer) - Optional - The number of dimensions the resulting output embeddings should have.

### Request Example
{
  "model": "text-embedding-3-small",
  "input": "The quick brown fox jumps over the lazy dog."
}

### Response
#### Success Response (200)
- **data** (array) - List of embedding objects.
- **model** (string) - The model used.
- **usage** (object) - Token usage statistics.

#### Response Example
{
  "provider_id": "oai",
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [0.0023, -0.0091, 0.0152],
      "index": 0
    }
  ],
  "model": "text-embedding-3-small",
  "usage": {"prompt_tokens": 10, "total_tokens": 10}
}
```

--------------------------------

### Translate Text

Source: https://context7.com/zukijourney/api-oss/llms.txt

Translate text between languages. Source and target languages can be automatically detected or explicitly specified.

```bash
# Translate text with auto-detection
curl -X POST "https://api.zukijourney.com/v1/text/translations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "translation-model",
    "text": "Bonjour, comment allez-vous?"
  }'
```

```bash
# Translate with specified languages
curl -X POST "https://api.zukijourney.com/v1/text/translations" \
  -H "Authorization: Bearer zu-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "translation-model",
    "text": "Hello, how are you?",
    "source_lang": "en",
    "target_lang": "es"
  }'
```

```json
# Response
{
  "provider_id": "oai",
  "translated_text": "Hola, ¿cómo estás?"
}
```

--------------------------------

### Text Translation API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Translates text between languages. Source and target languages can be optionally specified.

```APIDOC
## POST /v1/text/translations

### Description
Translates text from one language to another.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/text/translations

### Parameters
#### Request Body
- **model** (string) - Required - The translation model to use.
- **text** (string) - Required - The text to translate.
- **source_lang** (string) - Optional - The source language code (e.g., "en"). Auto-detected if not provided.
- **target_lang** (string) - Optional - The target language code (e.g., "es"). Auto-detected if not provided.

### Request Example
```json
{
  "model": "translation-model",
  "text": "Bonjour, comment allez-vous?"
}
```

### Response
#### Success Response (200)
- **provider_id** (string) - The ID of the translation provider.
- **translated_text** (string) - The translated text.

#### Response Example
```json
{
  "provider_id": "oai",
  "translated_text": "Hola, ¿cómo estás?"
}
```
```

--------------------------------

### Content Moderation API

Source: https://context7.com/zukijourney/api-oss/llms.txt

Analyzes text for harmful content categories including hate speech, violence, self-harm, and sexual content.

```APIDOC
## POST /v1/moderations

### Description
Analyzes text content for policy violations.

### Method
POST

### Endpoint
https://api.zukijourney.com/v1/moderations

### Parameters
#### Request Body
- **model** (string) - Required - The moderation model to use (e.g., "omni-moderation-latest").
- **input** (string or array) - Required - The text content to analyze.

### Request Example
```json
{
  "model": "omni-moderation-latest",
  "input": "Text content to analyze for policy violations."
}
```

### Response
#### Success Response (200)
- The response structure for content moderation is not detailed in the provided text. Typically, it would include flags and scores for different harmful content categories.
```
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