### Send a Chat Completion Request

Source: https://lemondata.cc

This example shows how to send a chat completion request to the API, specifying the model and user message. Ensure you have the correct model name and message content.

```json
{
  "model": "gpt-5.5",
  "messages": [
    {
      "role": "user",
      "content": "Summarize this release note"
    }
  ]
}
```

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

### Chat Completions

Source: https://lemondata.cc

This endpoint allows you to interact with various chat models through an OpenAI-compatible interface. You can specify the model, messages, and other parameters to get AI-generated responses.

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

### Description
This endpoint allows you to interact with various chat models through an OpenAI-compatible interface. You can specify the model, messages, and other parameters to get AI-generated responses.

### Method
POST

### Endpoint
/v1/chat/completions

### Request Body
- **model** (string) - Required - The ID of the model to use for this request.
- **messages** (array) - Required - A list of messages comprising the conversation so far.
  - **role** (string) - Required - The role of the author of a message (e.g., 'user' or 'assistant').
  - **content** (string) - Required - The content of the message.

### Request Example
```json
{
  "model": "gpt-5.5",
  "messages": [
    {
      "role": "user",
      "content": "Summarize this release note"
    }
  ]
}
```

### Response
#### Success Response (200)
- **id** (string) - The ID of the response.
- **object** (string) - The type of object returned, usually 'chat.completion'.
- **created** (integer) - Unix timestamp of when the response was created.
- **model** (string) - The model used for the response.
- **choices** (array) - A list of choices for the completion.
  - **index** (integer) - The index of the choice.
  - **message** (object) - The message content.
    - **role** (string) - The role of the author of the message.
    - **content** (string) - The content of the message.
  - **finish_reason** (string) - The reason the model stopped generating tokens.
- **usage** (object) - Usage statistics for the request.
  - **prompt_tokens** (integer) - Number of tokens in the prompt.
  - **completion_tokens** (integer) - Number of tokens in the completion.
  - **total_tokens** (integer) - Total number of tokens used.

#### Response Example
```json
{
  "id": "chatcmpl-12345",
  "object": "chat.completion",
  "created": 1677652288,
  "model": "gpt-5.5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "The release adds faster model routing, clearer fallback errors, and public pricing for the newest GPT, Claude, Gemini, image, and video families. Existing OpenA"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30
  }
}
```
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.