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

# Doubao Seed 1.6 Lite

> 通过 OpenAI 兼容接口调用字节跳动轻量对话模型，快速、强大且易于集成。

Doubao Seed 1.6 Lite 是通过 Starrise AI 以 OpenAI 兼容接口提供的对话模型。字节跳动轻量对话模型。

## 核心能力

* **OpenAI 兼容** — 可直接替换 OpenAI SDK，无需修改其他代码
* **长上下文** — 支持大文档处理和多轮对话
* **流式输出** — 通过 SSE 实现实时 Token 流式传输
* **强推理能力** — 适合复杂的多步骤任务

## 快速示例

```bash cURL theme={null}
curl https://dayu.cdn-fly.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "doubao-seed-1-6-lite-251015",
    "messages": [
      { "role": "user", "content": "用简单的语言解释量子纠缠。" }
    ]
  }'
```

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

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://dayu.cdn-fly.com/v1"
)

response = client.chat.completions.create(
    model="doubao-seed-1-6-lite-251015",
    messages=[
        {"role": "user", "content": "用简单的语言解释量子纠缠。"}
    ]
)

print(response.choices[0].message.content)
```

```python 流式输出 theme={null}
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://dayu.cdn-fly.com/v1"
)

stream = client.chat.completions.create(
    model="doubao-seed-1-6-lite-251015",
    messages=[
        {"role": "user", "content": "写一首关于大海的短诗。"}
    ],
    stream=True
)

for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")
```

## 参数说明

| 参数 | 类型 | 必填 | 说明 |
| - | - | - | - |
| `model` | string | 是 | 固定为 `doubao-seed-1-6-lite-251015` |
| `messages` | array | 是 | `{ role, content }` 对象数组 |
| `max_tokens` | integer | 否 | 最大生成 Token 数 |
| `temperature` | float | 否 | `0`–`2`，控制随机性，默认 `1` |
| `stream` | boolean | 否 | 开启 SSE 流式传输，默认 `false` |
| `top_p` | float | 否 | 核采样阈值，默认 `1` |
| `stop` | string / array | 否 | 触发停止生成的序列 |

> **[API 参考](/zh/api-reference/model-api/bytedance/doubao-seed-1-6-lite-251015)**
>
> 查看 Doubao Seed 1.6 Lite 的交互式 API Playground。


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.