docs: add docs of integrate DeepSeek's model services

docs/react/model-use-deepseek.en-US.md

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+---
+group:
+  title: Model Integration
+title: DeepSeek
+order: 1
+tag: Updated
+---
+
+This guide explains how to integrate DeepSeek's model services into applications built with Ant Design X.
+
+DeepSeek's model inference service supports an **OpenAI-compatible mode**. For details, refer to the official documentation: [DeepSeek - First API Call](https://api-docs.deepseek.com)
+
+### Obtaining Required Parameters
+
+- How to get baseURL - <https://api-docs.deepseek.com>
+- How to get API Key - <https://platform.deepseek.com/api_keys>
+
+## Integrating DeepSeek-R1
+
+DeepSeek-R1: [`deepseek-reasoner`](https://api-docs.deepseek.com/guides/reasoning_model) is DeepSeek's reasoning model. Before outputting the final answer, the model first generates chain-of-thought content to improve answer accuracy.
+
+The `deepseek-reasoner` model output includes additional **reasoning content** (`reasoning_content`) at the same level as the final answer (`content`). During each conversation turn, the model outputs both the reasoning content and final answer.
+
+> Warning: 🔥 `dangerouslyAllowBrowser` carries security risks. Refer to the official [openai-node documentation](https://github.com/openai/openai-node?tab=readme-ov-file#requirements) for details.
+
+```tsx
+import { useXAgent, useXChat, Sender, Bubble } from '@ant-design/x';
+import OpenAI from 'openai';
+import React from 'react';
+
+import type { GetProp } from 'antd';
+
+const client = new OpenAI({
+  baseURL: 'https://api.deepseek.com',
+  apiKey: process.env['DEEPSEEK_API_KEY'],
+  dangerouslyAllowBrowser: true,
+});
+
+const DeepSeekR1 = 'deepseek-reasoner';
+
+interface YourMessage {
+  /**
+   * @description The content of model answer
+   */
+  content: string;
+  /**
+   * @description The content of model reasoning
+   */
+  reasoning_content: string;
+}
+
+const Demo: React.FC = () => {
+  const [agent] = useXAgent<YourMessage>({
+    request: async (info, callbacks) => {
+      const { messages, message } = info;
+
+      const { onSuccess, onUpdate, onError } = callbacks;
+
+      // current message
+      console.log('message', message);
+
+      // history messages
+      console.log('messages', messages);
+
+      let content: string = '';
+      let reasoning_content: string = '';
+
+      try {
+        const stream = await client.chat.completions.create({
+          model: DeepSeekR1,
+          // if chat context is needed, modify the array
+          messages: [{ role: 'user', content: message?.content as string }],
+          // stream mode
+          stream: true,
+        });
+
+        for await (const chunk of stream) {
+          const { reasoning_content: deltaReasoningContent, content: deltaContent } = (chunk
+            .choices[0]?.delta || {}) as YourMessage;
+
+          // update reasoning content
+          if (deltaReasoningContent) {
+            reasoning_content += deltaReasoningContent;
+          }
+
+          // update content
+          if (deltaContent) {
+            content += deltaContent;
+          }
+
+          onUpdate({
+            content,
+            reasoning_content,
+          });
+        }
+
+        onSuccess({
+          content,
+          reasoning_content,
+        });
+      } catch (error) {
+        // handle error
+        // onError();
+      }
+    },
+  });
+
+  const {
+    // use to send message
+    onRequest,
+    // use to render messages
+    messages,
+  } = useXChat({ agent });
+
+  const onSubmit = (value: string) => {
+    onRequest({ content: value, reasoning_content: '' });
+  };
+
+  console.log(messages);
+
+  const items: GetProp<typeof Bubble.List, 'items'> = messages.map(({ message, id }) => ({
+    // key is required, used to identify the message
+    key: id,
+    messageRender() {
+      return (
+        <>
+          {/** render reasoning content */}
+          <div>{message.reasoning_content}</div>
+          {/** render content */}
+          <div>{message.content}</div>
+        </>
+      );
+    },
+  }));
+
+  return (
+    <div>
+      <Bubble.List items={items} />
+      <Sender onSubmit={onSubmit} />
+    </div>
+  );
+};
+
+export default Demo;
+```

docs/react/model-use-deepseek.zh-CN.md

@@ -0,0 +1,145 @@
+---
+group:
+  title: 模型接入
+title: DeepSeek
+order: 1
+tag: Updated
+---
+
+这篇指南将介绍如何在使用 Ant Design X 搭建的应用中接入 DeepSeek 提供的模型服务。
+
+DeepSeek 的模型推理服务支持「兼容 OpenAI 模式」。详见官方文档: [DeepSeek - 首次调用 API](https://api-docs.deepseek.com)
+
+### 相关参数获取
+
+- 如何获取 baseURL - <https://api-docs.deepseek.com>
+- 如何获取 API Key - <https://platform.deepseek.com/api_keys>
+
+## 对接 DeepSeek-R1 推理模型
+
+DeepSeek-R1：[`deepseek-reasoner`](https://api-docs.deepseek.com/guides/reasoning_model) 是 DeepSeek 推出的推理模型。在输出最终回答之前，模型会先输出一段思维链内容，以提升最终答案的准确性。
+
+`deepseek-reasoner` 模型的输出字段增加了 思维链内容（reasoning_content），与最终回答（content）同级。在每一轮对话过程中，模型会输出思维链内容（reasoning_content）和最终回答（content）。
+
+> 注意: 🔥 `dangerouslyAllowBrowser` 存在安全风险，对此 openai-node 的官方文档有详细的[说明](https://github.com/openai/openai-node?tab=readme-ov-file#requirements)。
+
+```tsx
+import { useXAgent, useXChat, Sender, Bubble } from '@ant-design/x';
+import OpenAI from 'openai';
+import React from 'react';
+
+import type { GetProp } from 'antd';
+
+const client = new OpenAI({
+  baseURL: 'https://api.deepseek.com',
+  apiKey: process.env['DEEPSEEK_API_KEY'],
+  dangerouslyAllowBrowser: true,
+});
+
+const DeepSeekR1 = 'deepseek-reasoner';
+
+interface YourMessage {
+  /**
+   * @description The content of model answer
+   */
+  content: string;
+  /**
+   * @description The content of model reasoning
+   */
+  reasoning_content: string;
+}
+
+const Demo: React.FC = () => {
+  const [agent] = useXAgent<YourMessage>({
+    request: async (info, callbacks) => {
+      const { messages, message } = info;
+
+      const { onSuccess, onUpdate, onError } = callbacks;
+
+      // current message
+      console.log('message', message);
+
+      // history messages
+      console.log('messages', messages);
+
+      let content: string = '';
+      let reasoning_content: string = '';
+
+      try {
+        const stream = await client.chat.completions.create({
+          model: DeepSeekR1,
+          // if chat context is needed, modify the array
+          messages: [{ role: 'user', content: message?.content as string }],
+          // stream mode
+          stream: true,
+        });
+
+        for await (const chunk of stream) {
+          const { reasoning_content: deltaReasoningContent, content: deltaContent } = (chunk
+            .choices[0]?.delta || {}) as YourMessage;
+
+          // update reasoning content
+          if (deltaReasoningContent) {
+            reasoning_content += deltaReasoningContent;
+          }
+
+          // update content
+          if (deltaContent) {
+            content += deltaContent;
+          }
+
+          onUpdate({
+            content,
+            reasoning_content,
+          });
+        }
+
+        onSuccess({
+          content,
+          reasoning_content,
+        });
+      } catch (error) {
+        // handle error
+        // onError();
+      }
+    },
+  });
+
+  const {
+    // use to send message
+    onRequest,
+    // use to render messages
+    messages,
+  } = useXChat({ agent });
+
+  const onSubmit = (value: string) => {
+    onRequest({ content: value, reasoning_content: '' });
+  };
+
+  console.log(messages);
+
+  const items: GetProp<typeof Bubble.List, 'items'> = messages.map(({ message, id }) => ({
+    // key is required, used to identify the message
+    key: id,
+    messageRender() {
+      return (
+        <>
+          {/** render reasoning content */}
+          <div>{message.reasoning_content}</div>
+          {/** render content */}
+          <div>{message.content}</div>
+        </>
+      );
+    },
+  }));
+
+  return (
+    <div>
+      <Bubble.List items={items} />
+      <Sender onSubmit={onSubmit} />
+    </div>
+  );
+};
+
+export default Demo;
+```