自研react19.2+deepseek-v4+openai智能流式ai模板

import { HashRouter } from 'react-router-dom'
import { appStore } from '@/store/app'

// 引入路由配置
import Router from './router'

function App() {
  const appState = appStore()
  appState.updateTheme()

  return (
    <>
      <HashRouter>
        <Router />
      </HashRouter>
    </>
  )
}

export default App

return (
  <>
    <div className='flexbox flex-col' style={{height: '100%'}}>
      <Toolbar title={chatSession()?.title} />
      
      <div className='rai__scrollview flex1'>
        {chatSession() && !isEmpty(chatSession().data) ?
          <>
            {/* Chat对话 */}
            <div ref={scrollRef} className='rai__chatbot' onScroll={onScroll} onWheel={onWheel}>
              <div className='rai__chatbot-sessions'>
                ...
              </div>
              {/* 滚动到底部 */}
              <div className='rai__scrollbottom' onClick={scrollToBottom}><i className='iconfont ai-arrD'></i></div>
            </div>
          </>
          :
          <>
            {/* 开始 */}
            <div className='rai__chatbot-intro'>
              <div className='flexbox flex-alignc' style={{ gap: '15px' }}>
                <img src="react.svg" style={{ height: '35px' }} alt="react" />
                <span className="c-999 ff-ar fs-18">+</span>
                <i className='logo iconfont ai-deepseek'></i>
              </div>
              <h3 className='name'><span className='txt text-gradient'>React19-DeepSeek</span></h3>
              <p className='desc'>你身边的智能小帮手，我可以帮你搜索、答疑、写作，请把你的任务交给我吧~</p>
              <div className='prompt'>
                <p className='tip flex-c'><span className='flex1'>推荐问题</span><a onClick={refreshPrompt}>换一换<IconRefresh /></a></p>
                <ul className='list'>
                  {
                    promptList.map((item, index) => (
                      <li key={index}>
                        <div className='txt' onClick={() => changePrompt(item.prompt)}>{item.emoji} {item.prompt} ➝</div>
                      </li>
                    ))
                  }
                </ul>
              </div>
            </div>
          </>
        }
      </div>

      {/* 编辑器 */}
      <ChatEditor value={promptValue} onChange={v => setPromptValue(v)} scrollBottom={scrollToBottom} />
    </div>
  </>
)

// 支持删除线、表格、任务列表和网址等GitHub Flavored Markdown
import remarkGfm from 'remark-gfm'
// 代码高亮
import rehypeHighlight from 'rehype-highlight'
import 'highlight.js/styles/atom-one-light.css'
import xml from 'highlight.js/lib/languages/xml'
// 支持数学公式
import remarkMath from 'remark-math'
import rehypeKatex from 'rehype-katex'
import 'katex/dist/katex.min.css'
// 渲染mermaid图表
import MermaidBlock from './mermaidBlock'

const Markdown = memo(({ source, scrollToBottom }) => {
  const processedContent = useMemo(() => {
    return preprocessMath(source || '')
  }, [source])

  return (
    <ReactMarkdown
      children={processedContent}
      components={{
        // 自定义代码块，所有代码都会被pre包裹
        pre(props) {
          const { children, node, ...rest } = props
          // 从 children 中提取 code 元素的信息
          const codeElement = children?.props?.children
          const className = children?.props?.className || ''
          const match = /language-(\w+)/.exec(className || '')
          const language = match ? match[1] : 'plaintext'

          // 渲染mermaid
          if (language === 'mermaid') {
            return (
　　　　　　　　　　<MermaidBlock code={codeElement} scrollToBottom={scrollToBottom} />
            )
          }

          return (
            <div className="md-code-block">
              ...
            </div>
          )
        },
        // 自定义a渲染
        a({ href, children, node, ...rest}) {
          return <a {...rest} href={href} target='_blank'>{children}</a>
        },
        // 自定义img渲染
        img({ src, children, node, ...rest}) {
          return <img {...rest} src={src} onClick={() => handleImageClick(src)} />
        }
      }}
      remarkPlugins={[remarkGfm, remarkMath]}
      rehypePlugins={[
        rehypeKatex,
        [
          rehypeHighlight,
          {
            aliases: {xml: ['vue']}, // 支持vue语法
          }
        ],
      ]}
    />
  )
})

// 调用deepseek接口
const completion = await openai.chat.completions.create({
  // 单一会话
  /* messages: [
    {role: 'user', content: editorValue}
  ], */
  // 多轮会话
  messages: multiConversation ? historySession() : [{role: 'user', content: editorValue}],
  // 对话模型(快速模式deepseek-v4-flash 专家模式deepseek-v4-pro)
  model: 'deepseek-v4-flash',
  // 是否深度思考
  thinking: {'type': thinkingEnabled ? 'enabled' : 'disabled'},
  stream: true, // 流式输出
  max_tokens: 8192, // 限制一次请求中模型生成 completion 的最大 token 数(默认使用 4096)
  temperature: 0.4, // 严谨采样 越低越严谨(默认1)
})