# 首次调用 API

DeepSeek API 使用与 OpenAI 兼容的 API 格式，通过修改配置，您可以使用 OpenAI SDK 来访问 DeepSeek API，或使用与 OpenAI API 兼容的软件。

| PARAM      | VALUE                                                        |
| ---------- | ------------------------------------------------------------ |
| base_url * | `https://api.deepseek.com`                                   |
| api_key    | 申请一个 [API key](https://platform.deepseek.com/api_keys) |

\* 出于与 OpenAI 兼容考虑，您也可以将 `base_url` 设置为 `https://api.deepseek.com/v1` 来使用，但注意，此处 `v1` 与模型版本无关。

\* **`deepseek-chat` 和 **`deepseek-reasoner` **都已经升级为 DeepSeek-V3.1**。`deepseek-chat` 对应 DeepSeek-V3.1 的**非思考模式**，`deepseek-reasoner` 对应 DeepSeek-V3.1 的**思考模式**.

## 调用对话 API[](https://api-docs.deepseek.com/zh-cn/#调用对话-api)

在创建 API key 之后，你可以使用以下样例脚本的来访问 DeepSeek API。样例为非流式输出，您可以将 stream 设置为 true 来使用流式输出。


<Tabs>
  <Tab title="cURL">
    ```bash
curl https://api.deepseek.com/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <DeepSeek API Key>" \
  -d '{
        "model": "deepseek-chat",
        "messages": [
          {"role": "system", "content": "You are a helpful assistant."},
          {"role": "user", "content": "Hello!"}
        ],
        "stream": false
      }'
   ```
  </Tab>
  <Tab title="Python">
    
```python
# Please install OpenAI SDK first: `pip3 install openai`

from openai import OpenAI

client = OpenAI(api_key="<DeepSeek API Key>", base_url="https://api.deepseek.com")

response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Hello"},
    ],
    stream=False
)

print(response.choices[0].message.content)
```
  </Tab>
  <Tab title="Node.js">

```js
// Please install OpenAI SDK first: `npm install openai`

import OpenAI from "openai";

const openai = new OpenAI({
        baseURL: 'https://api.deepseek.com',
        apiKey: '<DeepSeek API Key>'
});

async function main() {
  const completion = await openai.chat.completions.create({
    messages: [{ role: "system", content: "You are a helpful assistant." }],
    model: "deepseek-chat",
  });

  console.log(completion.choices[0].message.content);
}

main();
```
  </Tab>
</Tabs>