> ## Documentation Index
> Fetch the complete documentation index at: https://api-docs.upmore.net/llms.txt
> Use this file to discover all available pages before exploring further.

# ChatGPT 兼容接口

> 通过 OpenAI SDK 使用 Upmore 的 /v1/chat/completions 端点访问所有对话模型。

Upmore 完全兼容 OpenAI Chat Completions API。如果你已在使用 OpenAI SDK，只需更改 base URL 即可切换到 Upmore，无需重写代码。

## 端点

```
POST https://api.upmore.net/v1/chat/completions
```

## 认证

将你的 Upmore API 密钥作为 Bearer token 传入：

```
Authorization: Bearer YOUR_API_KEY
```

## 快速示例

<CodeGroup>
  ```bash cURL theme={null}
  curl https://api.upmore.net/v1/chat/completions \
    -H "Authorization: Bearer YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "model": "gpt-5.5",
      "messages": [
        { "role": "user", "content": "你好！" }
      ]
    }'
  ```

  ```python Python theme={null}
  from openai import OpenAI

  client = OpenAI(
      api_key="YOUR_API_KEY",
      base_url="https://api.upmore.net/v1"
  )

  response = client.chat.completions.create(
      model="gpt-5.5",
      messages=[
          {"role": "user", "content": "你好！"}
      ]
  )
  print(response.choices[0].message.content)
  ```

  ```javascript Node.js theme={null}
  import OpenAI from "openai";

  const client = new OpenAI({
    apiKey: "YOUR_API_KEY",
    baseURL: "https://api.upmore.net/v1",
  });

  const response = await client.chat.completions.create({
    model: "gpt-5.5",
    messages: [{ role: "user", content: "你好！" }],
  });
  console.log(response.choices[0].message.content);
  ```
</CodeGroup>

## 支持的模型

| 提供商       | 模型                                                                                                                                                                                                                                       |
| --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Anthropic | gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5, gpt-5.5                                                                                                                                                 |
| OpenAI    | gpt-5-4, gpt-5-3-codex, gpt-5-2, gpt-5-1, gpt-5, gpt-5-pro, gpt-5-mini, gpt-5-nano, gpt-4o, gpt-4o-mini, gpt-4-1, gpt-4                                                                                                                  |
| DeepSeek  | deepseek-v3-2-speciale, deepseek-v3-2, deepseek-v3-1-terminus, deepseek-v3-1, deepseek-v3                                                                                                                                                |
| Alibaba   | qwen3.5-397b-a17b, qwen3-coder-next, qwen3-coder, qwen3-235b-a22b, qwen3-32b, qwen3-14b, qwen2.5-72b-instruct                                                                                                                            |
| ByteDance | doubao-seed-2.0-pro, doubao-seed-2.0-code, doubao-seed-2.0-lite, doubao-seed-2.0-mini, doubao-seed-1-8-251228, doubao-seed-1-6-flash-250828, doubao-seed-1-6-251015, doubao-seed-1-6-lite-251015, doubao-seed-1-6-vision-250815, glm-4.7 |
| MiniMax   | minimax-m2.5, minimax-m2.1                                                                                                                                                                                                               |
| MoonShot  | kimi-k2.5                                                                                                                                                                                                                                |
| xAI       | grok-3, grok-3-mini, grok-4-fast-reasoning, grok-4-fast-non-reasoning, grok-4-1-fast-reasoning, grok-4-1-fast-non-reasoning                                                                                                              |
| Google    | gemini-3.1-pro-preview, gemini-3-pro-preview, gemini-3-flash-preview, gemini-2.5-pro, gemini-2.5-flash, gemini-2.0-flash                                                                                                                 |

## 功能特性

* **流式输出** — 设置 `stream: true` 通过 SSE 实时流式传输 token
* **函数调用** — 使用 `tools` 和 `tool_choice` 参数
* **JSON 模式** — 设置 `response_format: { type: "json_object" }`
* **多轮对话** — 在 `messages` 中包含完整的对话历史