# 深度求索 Deepseek

## 1. 概述

深度求索推出的当前最实惠的国产大模型，提示/生成费用较低，非常适合用于翻译需求。

{% hint style="success" %}
本 API 与 OpenAI 接口格式兼容。
{% endhint %}

**模型列表：**

* `deepseek-v3`
* `deepseek-v3.1`
* `deepseek-r1`

## 2. 请求说明

* **请求方法**:`POST`
* **请求地址**:

  > `https://gateway.theturbo.ai/v1/chat/completions`

{% hint style="info" %}
平台为保障并发资源量，后端为多账号负载，如需提高缓存命中率，多轮对话模式可携带http请求头`X-Conversation-Id`加随机字符串请求，平台会优先路由到后端同一账号上。[参考文档](https://docs.console.zenlayer.com/api-reference/cn/compute/aig/gateway-features/cache-optimization)
{% endhint %}

***

## 3. 请求参数

### 3.1 Header 参数

| 参数名称            | 类型     | 必填 | 说明                                         | 示例值                    |
| --------------- | ------ | -- | ------------------------------------------ | ---------------------- |
| `Content-Type`  | string | 是  | 设置请求头类型，必须为 `application/json`             | `application/json`     |
| `Accept`        | string | 是  | 设置响应类型，建议统一为 `application/json`            | `application/json`     |
| `Authorization` | string | 是  | 身份验证所需的 API\_KEY，格式 `Bearer $YOUR_API_KEY` | `Bearer $YOUR_API_KEY` |

***

### 3.2 Body 参数 (application/json)

| 参数名称               | 类型      | 必填 | 说明                                                          | 示例                                   |
| ------------------ | ------- | -- | ----------------------------------------------------------- | ------------------------------------ |
| **model**          | string  | 是  | 要使用的模型 ID。详见[概述](#1-概述)列出的可用版本，如 `deepseek-v3`。             | `deepseek-v3`                        |
| **messages**       | array   | 是  | 聊天消息列表，格式与 OpenAI 兼容。数组中的每个对象包含 `role`(角色) 与 `content`(内容)。 | `[{"role": "user","content": "你好"}]` |
| role               | string  | 否  | 消息角色，可选值：`system`、`user`、`assistant`。                       | `user`                               |
| content            | string  | 否  | 消息的具体内容。                                                    | `你好，请给我讲个笑话。`                        |
| temperature        | number  | 否  | 采样温度，取值 `0～2`。数值越大，输出越随机；数值越小，输出越集中和确定。                     | `0.7`                                |
| top\_p             | number  | 否  | 另一种调节采样分布的方式，取值 `0～1`。和 `temperature` 通常二选一设置。              | `0.9`                                |
| n                  | number  | 否  | 为每条输入消息生成多少条回复。                                             | `1`                                  |
| stream             | boolean | 否  | 是否开启流式输出。设置为 `true` 时，返回类似 ChatGPT 的流式数据。                   | `false`                              |
| stop               | string  | 否  | 最多可指定 4 个字符串，一旦生成的内容出现这几个字符串之一，就停止生成更多 tokens。              | `"\n"`                               |
| max\_tokens        | number  | 否  | 单次回复可生成的最大 token 数量，受模型上下文长度限制。                             | `1024`                               |
| presence\_penalty  | number  | 否  | -2.0 \~ 2.0。正值会鼓励模型输出更多新话题，负值会降低输出新话题的概率。                   | `0`                                  |
| frequency\_penalty | number  | 否  | -2.0 \~ 2.0。正值会降低模型重复字句的频率，负值会提高重复字句出现的概率。                  | `0`                                  |

***

## 4. 请求示例

{% tabs %}
{% tab title="HTTP" %}

```http
POST /v1/chat/completions
Content-Type: application/json
Accept: application/json
Authorization: Bearer $YOUR_API_KEY

{
	"model": "deepseek-v3",
	"messages": [
		{
			"role": "user",
			"content": "你好，给我科普一下量子力学吧"
		}
	]
}
```

{% endtab %}

{% tab title="Shell" %}

```sh
curl https://gateway.theturbo.ai/v1/chat/completions \
	-H "Content-Type: application/json" \
	-H "Accept: application/json" \
	-H "Authorization: Bearer $YOUR_API_KEY" \
	-d "{
	\"model\": \"deepseek-v3\",
	\"messages\": [{
		\"role\": \"user\",
		\"content\": \"你好，给我科普一下量子力学吧\"
	}]
}"
```

{% endtab %}

{% tab title="Go" %}

```go
package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go"
	"github.com/openai/openai-go/option"
)

func main() {
	apiKey := "sk-123456789012345678901234567890123456789012345678"

	client := openai.NewClient(
		option.WithAPIKey(apiKey),
		option.WithBaseURL("https://gateway.theturbo.ai/v1"),
	)

	resp, err := client.Chat.Completions.New(
		context.Background(),
		openai.ChatCompletionNewParams{
			Model: "deepseek-v3",
			Messages: []openai.ChatCompletionMessageParamUnion{
				openai.UserMessage("你好，给我科普一下量子力学吧"),
			},
		},
	)

	if err != nil {
		fmt.Println("error:", err)
		return
	}

	fmt.Println(resp.Choices[0].Message.Content)
}

```

{% endtab %}

{% tab title="Python" %}

```python
#!/usr/bin/env python3

from openai import OpenAI

def main():
    api_key = "sk-123456789012345678901234567890123456789012345678"

    client = OpenAI(
        api_key=api_key,
        base_url="https://gateway.theturbo.ai/v1"
    )

    response = client.chat.completions.create(
        model="deepseek-v3",
        messages=[
            {"role": "user", "content": "你好，给我科普一下量子力学吧"}
        ]
    )

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

if __name__ == "__main__":
    main()

```

{% endtab %}
{% endtabs %}

## 5. 响应示例

```json
{
	"id": "chatcmpl-1234567890",
	"object": "chat.completion",
	"created": 1699999999,
	"model": "deepseek-v3",
	"choices": [
		{
			"message": {
				"role": "assistant",
				"content": "量子力学是研究微观世界的物理学分支……"
			},
			"finish_reason": "stop"
		}
	],
	"usage": {
		"prompt_tokens": 10,
		"completion_tokens": 30,
		"total_tokens": 40
	}
}
```


---

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