6

src/main/services/MCPService.ts

@@ -159,7 +159,7 @@ class McpService {
         } else if (server.type === 'sse') {
           const options: SSEClientTransportOptions = {
             eventSourceInit: {
-              fetch: (url, init) => fetch(url, { ...init, headers: server.headers || {} }),
+              fetch: (url, init) => fetch(url, { ...init, headers: server.headers || {} })
             },
             requestInit: {
               headers: server.headers || {}

src/renderer/src/App.tsx

@@ -6,7 +6,9 @@ import { HashRouter, Route, Routes } from 'react-router-dom'
 import { PersistGate } from 'redux-persist/integration/react'
 
 import Sidebar from './components/app/Sidebar'
+import GeminiInitializer from './components/GeminiInitializer'
 import TopViewContainer from './components/TopView'
+import WebSearchInitializer from './components/WebSearchInitializer'
 import AntdProvider from './context/AntdProvider'
 import StyleSheetManager from './context/StyleSheetManager'
 import { SyntaxHighlighterProvider } from './context/SyntaxHighlighterProvider'
@@ -14,6 +16,7 @@ import { ThemeProvider } from './context/ThemeProvider'
 import NavigationHandler from './handler/NavigationHandler'
 import AgentsPage from './pages/agents/AgentsPage'
 import AppsPage from './pages/apps/AppsPage'
+import DeepResearchPage from './pages/deepresearch/DeepResearchPage'
 import FilesPage from './pages/files/FilesPage'
 import HomePage from './pages/home/HomePage'
 import KnowledgePage from './pages/knowledge/KnowledgePage'
@@ -29,6 +32,8 @@ function App(): React.ReactElement {
           <AntdProvider>
             <SyntaxHighlighterProvider>
               <PersistGate loading={null} persistor={persistor}>
+                <GeminiInitializer />
+                <WebSearchInitializer />
                 <TopViewContainer>
                   <HashRouter>
                     <NavigationHandler />
@@ -41,6 +46,7 @@ function App(): React.ReactElement {
                       <Route path="/files" element={<FilesPage />} />
                       <Route path="/knowledge" element={<KnowledgePage />} />
                       <Route path="/apps" element={<AppsPage />} />
+                      <Route path="/deepresearch" element={<DeepResearchPage />} />
                       <Route path="/settings/*" element={<SettingsPage />} />
                     </Routes>
                   </HashRouter>

src/renderer/src/components/DeepResearch/DeepResearchPanel.css

@@ -0,0 +1,67 @@
+.deep-research-container {
+  padding: 20px;
+  max-width: 100%;
+  overflow-x: hidden;
+}
+
+.token-stats {
+  margin-top: 5px;
+  font-size: 12px;
+  color: #888;
+}
+
+.source-link {
+  word-break: break-word;
+  overflow-wrap: break-word;
+  display: block;
+}
+
+.research-loading {
+  text-align: center;
+  padding: 40px;
+}
+
+.loading-status {
+  margin-top: 20px;
+}
+
+.iteration-info {
+  margin-top: 10px;
+}
+
+.progress-container {
+  width: 100%;
+  margin-top: 20px;
+}
+
+.progress-bar-container {
+  height: 8px;
+  background: #f0f0f0;
+  border-radius: 4px;
+  overflow: hidden;
+}
+
+.progress-bar {
+  height: 100%;
+  background: #1890ff;
+  border-radius: 4px;
+  transition: width 0.3s ease;
+}
+
+.progress-percentage {
+  margin-top: 5px;
+}
+
+.error-message {
+  color: red;
+  margin-bottom: 20px;
+}
+
+.direct-answer-card {
+  background-color: #f0f8ff;
+  margin-bottom: 20px;
+}
+
+.direct-answer-title {
+  color: #1890ff;
+}

src/renderer/src/components/DeepResearch/DeepResearchPanel.tsx

@@ -0,0 +1,472 @@
+import './DeepResearchPanel.css'
+
+import {
+  BulbOutlined,
+  DownloadOutlined,
+  ExperimentOutlined,
+  FileSearchOutlined,
+  HistoryOutlined,
+  LinkOutlined,
+  SearchOutlined
+} from '@ant-design/icons'
+import { DeepResearchProvider } from '@renderer/providers/WebSearchProvider/DeepResearchProvider'
+import { ResearchIteration, ResearchReport, WebSearchResult } from '@renderer/types'
+import { Button, Card, Collapse, Divider, Input, List, message, Modal, Space, Spin, Tag, Typography } from 'antd'
+import React, { useEffect, useState } from 'react'
+import ReactMarkdown from 'react-markdown'
+import remarkGfm from 'remark-gfm'
+
+import { useWebSearchStore } from '../../hooks/useWebSearchStore'
+
+const { Title, Paragraph, Text } = Typography
+const { Panel } = Collapse
+
+// 定义历史研究记录的接口
+interface ResearchHistory {
+  id: string
+  query: string
+  date: string
+  report: ResearchReport
+}
+
+const DeepResearchPanel: React.FC = () => {
+  const [query, setQuery] = useState('')
+  const [isResearching, setIsResearching] = useState(false)
+  const [report, setReport] = useState<ResearchReport | null>(null)
+  const [error, setError] = useState<string | null>(null)
+  const [maxIterations, setMaxIterations] = useState(3)
+  const [historyVisible, setHistoryVisible] = useState(false)
+  const [history, setHistory] = useState<ResearchHistory[]>([])
+  const [currentIteration, setCurrentIteration] = useState(0)
+  const [progressStatus, setProgressStatus] = useState('')
+  const [progressPercent, setProgressPercent] = useState(0)
+
+  const { providers, selectedProvider, websearch } = useWebSearchStore()
+
+  // 加载历史记录
+  useEffect(() => {
+    const loadHistory = async () => {
+      try {
+        const savedHistory = localStorage.getItem('deepResearchHistory')
+        if (savedHistory) {
+          setHistory(JSON.parse(savedHistory))
+        }
+      } catch (err) {
+        console.error('加载历史记录失败:', err)
+      }
+    }
+
+    loadHistory()
+  }, [])
+
+  // 保存历史记录
+  const saveToHistory = (newReport: ResearchReport) => {
+    try {
+      const newHistory: ResearchHistory = {
+        id: Date.now().toString(),
+        query: newReport.originalQuery,
+        date: new Date().toLocaleString(),
+        report: newReport
+      }
+
+      const updatedHistory = [newHistory, ...history].slice(0, 20) // 只保存20条记录
+      setHistory(updatedHistory)
+      localStorage.setItem('deepResearchHistory', JSON.stringify(updatedHistory))
+    } catch (err) {
+      console.error('保存历史记录失败:', err)
+    }
+  }
+
+  // 导出报告为Markdown文件
+  const exportToMarkdown = (reportToExport: ResearchReport) => {
+    try {
+      let markdown = `# 深度研究报告: ${reportToExport.originalQuery}\n\n`
+
+      // 添加问题回答
+      markdown += `## 问题回答\n\n${reportToExport.directAnswer}\n\n`
+
+      // 添加关键见解
+      markdown += `## 关键见解\n\n`
+      reportToExport.keyInsights.forEach((insight) => {
+        markdown += `- ${insight}\n`
+      })
+
+      // 添加研究总结
+      markdown += `\n## 研究总结\n\n${reportToExport.summary}\n\n`
+
+      // 添加研究过程
+      markdown += `## 研究过程\n\n`
+      reportToExport.iterations.forEach((iteration, index) => {
+        markdown += `### 迭代 ${index + 1}: ${iteration.query}\n\n`
+        markdown += `#### 分析\n\n${iteration.analysis}\n\n`
+
+        if (iteration.followUpQueries.length > 0) {
+          markdown += `#### 后续查询\n\n`
+          iteration.followUpQueries.forEach((q) => {
+            markdown += `- ${q}\n`
+          })
+          markdown += '\n'
+        }
+      })
+
+      // 添加信息来源
+      markdown += `## 信息来源\n\n`
+      reportToExport.sources.forEach((source) => {
+        markdown += `- [${source}](${source})\n`
+      })
+
+      // 添加Token统计
+      if (reportToExport.tokenUsage) {
+        markdown += `\n## Token统计\n\n`
+        markdown += `- 输入Token数: ${reportToExport.tokenUsage.inputTokens.toLocaleString()}\n`
+        markdown += `- 输出Token数: ${reportToExport.tokenUsage.outputTokens.toLocaleString()}\n`
+        markdown += `- 总计Token数: ${reportToExport.tokenUsage.totalTokens.toLocaleString()}\n`
+      }
+
+      // 创建Blob并下载
+      const blob = new Blob([markdown], { type: 'text/markdown' })
+      const url = URL.createObjectURL(blob)
+      const a = document.createElement('a')
+      a.href = url
+      a.download = `深度研究-${reportToExport.originalQuery.substring(0, 20)}-${new Date().toISOString().split('T')[0]}.md`
+      document.body.appendChild(a)
+      a.click()
+      document.body.removeChild(a)
+      URL.revokeObjectURL(url)
+
+      message.success('报告导出成功')
+    } catch (err) {
+      console.error('导出报告失败:', err)
+      message.error('导出报告失败')
+    }
+  }
+
+  // 从历史记录中加载报告
+  const loadFromHistory = (historyItem: ResearchHistory) => {
+    setReport(historyItem.report)
+    setQuery(historyItem.query)
+    setHistoryVisible(false)
+  }
+
+  const handleQueryChange = (e: React.ChangeEvent<HTMLInputElement>) => {
+    setQuery(e.target.value)
+  }
+
+  const handleMaxIterationsChange = (e: React.ChangeEvent<HTMLInputElement>) => {
+    const value = parseInt(e.target.value)
+    if (!isNaN(value) && value > 0) {
+      setMaxIterations(value)
+    }
+  }
+
+  const startResearch = async () => {
+    if (!query.trim()) {
+      setError('请输入研究查询')
+      return
+    }
+
+    if (!selectedProvider) {
+      setError('请选择搜索提供商')
+      return
+    }
+
+    setIsResearching(true)
+    setError(null)
+    setReport(null)
+    setCurrentIteration(0)
+    setProgressStatus('准备中...')
+    setProgressPercent(0)
+
+    try {
+      const provider = providers.find((p) => p.id === selectedProvider)
+      if (!provider) {
+        throw new Error('找不到选定的搜索提供商')
+      }
+
+      const deepResearchProvider = new DeepResearchProvider(provider)
+      deepResearchProvider.setAnalysisConfig({
+        maxIterations,
+        modelId: websearch?.deepResearchConfig?.modelId
+      })
+
+      // 确保 websearch 存在，如果不存在则创建一个空对象
+      const webSearchState = websearch || {
+        defaultProvider: selectedProvider,
+        providers,
+        maxResults: 10,
+        excludeDomains: [],
+        searchWithTime: false,
+        subscribeSources: [],
+        overwrite: false,
+        deepResearchConfig: {
+          maxIterations,
+          maxResultsPerQuery: 50,
+          autoSummary: true,
+          enableQueryOptimization: true
+        }
+      }
+
+      // 添加进度回调
+      const progressCallback = (iteration: number, status: string, percent: number) => {
+        setCurrentIteration(iteration)
+        setProgressStatus(status)
+        setProgressPercent(percent)
+      }
+
+      // 开始研究
+      const researchReport = await deepResearchProvider.research(query, webSearchState, progressCallback)
+      setReport(researchReport)
+
+      // 保存到历史记录
+      saveToHistory(researchReport)
+    } catch (err: any) {
+      console.error('深度研究失败:', err)
+      setError(`研究过程中出错: ${err?.message || '未知错误'}`)
+    } finally {
+      setIsResearching(false)
+      setProgressStatus('')
+      setProgressPercent(100)
+    }
+  }
+
+  const renderResultItem = (result: WebSearchResult) => (
+    <List.Item>
+      <Card
+        title={
+          <a href={result.url} target="_blank" rel="noopener noreferrer">
+            {result.title}
+          </a>
+        }
+        size="small"
+        style={{ width: '100%', wordBreak: 'break-word', overflowWrap: 'break-word' }}>
+        <Paragraph ellipsis={{ rows: 3 }}>
+          {result.content ? result.content.substring(0, 200) + '...' : '无内容'}
+        </Paragraph>
+        <Text type="secondary" style={{ wordBreak: 'break-word', overflowWrap: 'break-word', display: 'block' }}>
+          来源: {result.url}
+        </Text>
+      </Card>
+    </List.Item>
+  )
+
+  const renderIteration = (iteration: ResearchIteration, index: number) => (
+    <Panel
+      header={
+        <Space>
+          <FileSearchOutlined />
+          <span>
+            迭代 {index + 1}: {iteration.query}
+          </span>
+        </Space>
+      }
+      key={index}>
+      <Title level={5}>搜索结果</Title>
+      <List dataSource={iteration.results} renderItem={renderResultItem} grid={{ gutter: 16, column: 1 }} />
+
+      <Divider />
+
+      <Title level={5}>分析</Title>
+      <Card>
+        <ReactMarkdown remarkPlugins={[remarkGfm]} className="markdown">
+          {iteration.analysis}
+        </ReactMarkdown>
+      </Card>
+
+      <Divider />
+
+      <Title level={5}>后续查询</Title>
+      <Space wrap>
+        {iteration.followUpQueries.map((q, i) => (
+          <Tag color="blue" key={i}>
+            {q}
+          </Tag>
+        ))}
+      </Space>
+    </Panel>
+  )
+
+  const renderReport = () => {
+    if (!report) return null
+
+    return (
+      <div>
+        <Card>
+          <Title level={3}>
+            <ExperimentOutlined /> 深度研究报告: {report.originalQuery}
+          </Title>
+          {report.tokenUsage && (
+            <div className="token-stats">
+              Token统计: 输入 {report.tokenUsage.inputTokens.toLocaleString()} | 输出{' '}
+              {report.tokenUsage.outputTokens.toLocaleString()} | 总计 {report.tokenUsage.totalTokens.toLocaleString()}
+            </div>
+          )}
+
+          <Divider />
+
+          <Title level={4} className="direct-answer-title">
+            问题回答
+          </Title>
+          <Card className="direct-answer-card">
+            <ReactMarkdown remarkPlugins={[remarkGfm]} className="markdown">
+              {report.directAnswer}
+            </ReactMarkdown>
+          </Card>
+
+          <Divider />
+
+          <Title level={4}>
+            <BulbOutlined /> 关键见解
+          </Title>
+          <List
+            dataSource={report.keyInsights}
+            renderItem={(item) => (
+              <List.Item>
+                <Text>{item}</Text>
+              </List.Item>
+            )}
+          />
+
+          <Divider />
+
+          <Title level={4}>研究总结</Title>
+          <Card>
+            <ReactMarkdown remarkPlugins={[remarkGfm]} className="markdown">
+              {report.summary}
+            </ReactMarkdown>
+          </Card>
+
+          <Divider />
+
+          <Title level={4}>研究迭代</Title>
+          <Collapse>{report.iterations.map((iteration, index) => renderIteration(iteration, index))}</Collapse>
+
+          <Divider />
+
+          <Title level={4}>
+            <LinkOutlined /> 信息来源
+          </Title>
+          <List
+            dataSource={report.sources}
+            renderItem={(source) => (
+              <List.Item>
+                <a href={source} target="_blank" rel="noopener noreferrer" className="source-link">
+                  {source}
+                </a>
+              </List.Item>
+            )}
+          />
+        </Card>
+      </div>
+    )
+  }
+
+  // 渲染历史记录对话框
+  const renderHistoryModal = () => (
+    <Modal
+      title={
+        <div>
+          <HistoryOutlined /> 历史研究记录
+        </div>
+      }
+      open={historyVisible}
+      onCancel={() => setHistoryVisible(false)}
+      footer={null}
+      width={800}>
+      <List
+        dataSource={history}
+        renderItem={(item) => (
+          <List.Item
+            actions={[
+              <Button key="load" type="link" onClick={() => loadFromHistory(item)}>
+                加载
+              </Button>,
+              <Button key="export" type="link" onClick={() => exportToMarkdown(item.report)}>
+                导出
+              </Button>
+            ]}>
+            <List.Item.Meta
+              title={item.query}
+              description={
+                <div>
+                  <div>日期: {item.date}</div>
+                  <div>迭代次数: {item.report.iterations.length}</div>
+                </div>
+              }
+            />
+          </List.Item>
+        )}
+        locale={{ emptyText: '暂无历史记录' }}
+      />
+    </Modal>
+  )
+
+  return (
+    <div className="deep-research-container">
+      <Title level={3}>
+        <ExperimentOutlined /> 深度研究
+      </Title>
+      <Paragraph>深度研究功能通过多轮搜索、分析和总结，为您提供全面的研究报告。</Paragraph>
+
+      <Space direction="vertical" style={{ width: '100%', marginBottom: '20px' }}>
+        <Input
+          placeholder="输入研究主题或问题"
+          value={query}
+          onChange={handleQueryChange}
+          prefix={<SearchOutlined />}
+          size="large"
+        />
+
+        <Space>
+          <Text>最大迭代次数:</Text>
+          <Input type="number" value={maxIterations} onChange={handleMaxIterationsChange} style={{ width: '60px' }} />
+
+          <Button
+            type="primary"
+            icon={<ExperimentOutlined />}
+            onClick={startResearch}
+            loading={isResearching}
+            disabled={!query.trim() || !selectedProvider}>
+            开始深度研究
+          </Button>
+
+          <Button icon={<HistoryOutlined />} onClick={() => setHistoryVisible(true)} disabled={isResearching}>
+            历史记录
+          </Button>
+
+          {report && (
+            <Button icon={<DownloadOutlined />} onClick={() => exportToMarkdown(report)} disabled={isResearching}>
+              导出报告
+            </Button>
+          )}
+        </Space>
+      </Space>
+
+      {error && <div className="error-message">{error}</div>}
+
+      {isResearching && (
+        <div className="research-loading">
+          <Spin size="large" />
+          <div className="loading-status">
+            <div>正在进行深度研究: {progressStatus}</div>
+            <div className="iteration-info">
+              迭代 {currentIteration}/{maxIterations}
+            </div>
+            <div className="progress-container">
+              <div className="progress-bar-container">
+                <div className="progress-bar" style={{ width: `${progressPercent}%` }} />
+              </div>
+              <div className="progress-percentage">{progressPercent}%</div>
+            </div>
+          </div>
+        </div>
+      )}
+
+      {report && renderReport()}
+
+      {/* 渲染历史记录对话框 */}
+      {renderHistoryModal()}
+    </div>
+  )
+}
+
+export default DeepResearchPanel

src/renderer/src/components/DeepResearch/index.ts

@@ -0,0 +1,3 @@
+import DeepResearchPanel from './DeepResearchPanel'
+
+export { DeepResearchPanel }

src/renderer/src/components/GeminiInitializer.tsx

@@ -0,0 +1,35 @@
+import { RootState } from '@renderer/store'
+import { updateProvider } from '@renderer/store/llm'
+import { useEffect } from 'react'
+import { useDispatch, useSelector } from 'react-redux'
+
+/**
+ * GeminiInitializer组件
+ * 用于在应用启动时检查Gemini API的配置
+ * 如果没有配置API密钥，则禁用Gemini API
+ */
+const GeminiInitializer = () => {
+  const dispatch = useDispatch()
+  const providers = useSelector((state: RootState) => state.llm.providers)
+
+  useEffect(() => {
+    // 检查Gemini提供商
+    const geminiProvider = providers.find((provider) => provider.id === 'gemini')
+
+    // 如果Gemini提供商存在且已启用，但没有API密钥，则禁用它
+    if (geminiProvider && geminiProvider.enabled && !geminiProvider.apiKey) {
+      dispatch(
+        updateProvider({
+          ...geminiProvider,
+          enabled: false
+        })
+      )
+      console.log('Gemini API disabled due to missing API key')
+    }
+  }, [dispatch, providers])
+
+  // 这是一个初始化组件，不需要渲染任何UI
+  return null
+}
+
+export default GeminiInitializer

src/renderer/src/components/WebSearchInitializer.tsx

@@ -0,0 +1,37 @@
+import { RootState } from '@renderer/store'
+import { addWebSearchProvider } from '@renderer/store/websearch'
+import { WebSearchProvider } from '@renderer/types'
+import { useEffect } from 'react'
+import { useDispatch, useSelector } from 'react-redux'
+
+/**
+ * WebSearchInitializer组件
+ * 用于在应用启动时初始化WebSearchService
+ * 确保DeepSearch在应用启动时被正确设置
+ */
+const WebSearchInitializer = () => {
+  const dispatch = useDispatch()
+  const providers = useSelector((state: RootState) => state.websearch.providers)
+
+  useEffect(() => {
+    // 检查是否已经存在DeepSearch提供商
+    const hasDeepSearch = providers.some((provider) => provider.id === 'deep-search')
+
+    // 如果不存在，添加DeepSearch提供商
+    if (!hasDeepSearch) {
+      const deepSearchProvider: WebSearchProvider = {
+        id: 'deep-search',
+        name: 'DeepSearch',
+        usingBrowser: true,
+        contentLimit: 10000,
+        description: '多引擎深度搜索'
+      }
+      dispatch(addWebSearchProvider(deepSearchProvider))
+    }
+  }, [dispatch, providers])
+
+  // 这是一个初始化组件，不需要渲染任何UI
+  return null
+}
+
+export default WebSearchInitializer

src/renderer/src/components/app/Sidebar.tsx

@@ -17,6 +17,7 @@ import {
   Languages,
   LayoutGrid,
   MessageSquareQuote,
+  Microscope,
   Moon,
   Palette,
   Settings,
@@ -136,7 +137,8 @@ const MainMenus: FC = () => {
     translate: <Languages size={18} className="icon" />,
     minapp: <LayoutGrid size={18} className="icon" />,
     knowledge: <FileSearch size={18} className="icon" />,
-    files: <Folder size={17} className="icon" />
+    files: <Folder size={17} className="icon" />,
+    deepresearch: <Microscope size={18} className="icon" />
   }
 
   const pathMap = {
@@ -146,7 +148,8 @@ const MainMenus: FC = () => {
     translate: '/translate',
     minapp: '/apps',
     knowledge: '/knowledge',
-    files: '/files'
+    files: '/files',
+    deepresearch: '/deepresearch'
   }
 
   return sidebarIcons.visible.map((icon) => {

src/renderer/src/hooks/useWebSearchStore.ts

@@ -0,0 +1,13 @@
+import { useAppSelector } from '@renderer/store'
+
+export function useWebSearchStore() {
+  const websearch = useAppSelector((state) => state.websearch)
+  const providers = useAppSelector((state) => state.websearch.providers)
+  const selectedProvider = useAppSelector((state) => state.websearch.defaultProvider)
+
+  return {
+    websearch,
+    providers,
+    selectedProvider
+  }
+}

src/renderer/src/i18n/locales/en-us.json

@@ -1,5 +1,29 @@
 {
   "translation": {
+    "deepresearch": {
+      "title": "Deep Research",
+      "description": "Provides comprehensive research reports through multiple rounds of search, analysis, and summarization",
+      "start": "Start Deep Research",
+      "query": {
+        "placeholder": "Enter research topic or question",
+        "empty": "Please enter a research query"
+      },
+      "max_iterations": "Maximum Iterations",
+      "researching": "Conducting deep research, this may take a few minutes...",
+      "report": {
+        "title": "Deep Research Report",
+        "key_insights": "Key Insights",
+        "summary": "Research Summary",
+        "iterations": "Research Iterations",
+        "sources": "Information Sources"
+      },
+      "iteration": {
+        "title": "Iteration",
+        "search_results": "Search Results",
+        "analysis": "Analysis",
+        "follow_up_queries": "Follow-up Queries"
+      }
+    },
     "agents": {
       "add.button": "Add to Assistant",
       "add.knowledge_base": "Knowledge Base",
@@ -1337,6 +1361,12 @@
       "tray.show": "Show Tray Icon",
       "tray.title": "Tray",
       "websearch": {
+        "deep_research": {
+          "title": "Deep Research Settings",
+          "max_iterations": "Maximum Iterations",
+          "max_results_per_query": "Maximum Results Per Query",
+          "auto_summary": "Auto Summary"
+        },
         "blacklist": "Blacklist",
         "blacklist_description": "Results from the following websites will not appear in search results",
         "blacklist_tooltip": "Please use the following format (separated by line breaks)\nexample.com\nhttps://www.example.com\nhttps://example.com\n*://*.example.com",

src/renderer/src/i18n/locales/zh-cn.json

@@ -1,5 +1,31 @@
 {
   "translation": {
+    "deepresearch": {
+      "title": "深度研究",
+      "description": "通过多轮搜索、分析和总结，提供全面的研究报告",
+      "start": "开始深度研究",
+      "query": {
+        "placeholder": "输入研究主题或问题",
+        "empty": "请输入研究查询"
+      },
+      "max_iterations": "最大迭代次数",
+      "researching": "正在进行深度研究，这可能需要几分钟时间...",
+      "report": {
+        "title": "深度研究报告",
+        "key_insights": "关键见解",
+        "summary": "研究总结",
+        "iterations": "研究迭代",
+        "sources": "信息来源"
+      },
+      "iteration": {
+        "title": "迭代",
+        "search_results": "搜索结果",
+        "analysis": "分析",
+        "follow_up_queries": "后续查询"
+      },
+      "engine_rotation": "每次迭代使用不同类别的搜索引擎：中文、国际、元搜索和学术搜索",
+      "open": "打开深度研究"
+    },
     "agents": {
       "add.button": "添加到助手",
       "add.knowledge_base": "知识库",
@@ -1337,6 +1363,12 @@
       "tray.show": "显示托盘图标",
       "tray.title": "托盘",
       "websearch": {
+        "deep_research": {
+          "title": "深度研究设置",
+          "max_iterations": "最大迭代次数",
+          "max_results_per_query": "每次查询的最大结果数",
+          "auto_summary": "自动生成摘要"
+        },
         "blacklist": "黑名单",
         "blacklist_description": "在搜索结果中不会出现以下网站的结果",
         "blacklist_tooltip": "请使用以下格式(换行分隔)\n匹配模式: *://*.example.com/*\n正则表达式: /example\\.(net|org)/",

src/renderer/src/i18n/locales/zh-tw.json

@@ -1,5 +1,29 @@
 {
   "translation": {
+    "deepresearch": {
+      "title": "深度研究",
+      "description": "通過多輪搜索、分析和總結，提供全面的研究報告",
+      "start": "開始深度研究",
+      "query": {
+        "placeholder": "輸入研究主題或問題",
+        "empty": "請輸入研究查詢"
+      },
+      "max_iterations": "最大迭代次數",
+      "researching": "正在進行深度研究，這可能需要幾分鐘時間...",
+      "report": {
+        "title": "深度研究報告",
+        "key_insights": "關鍵見解",
+        "summary": "研究總結",
+        "iterations": "研究迭代",
+        "sources": "信息來源"
+      },
+      "iteration": {
+        "title": "迭代",
+        "search_results": "搜索結果",
+        "analysis": "分析",
+        "follow_up_queries": "後續查詢"
+      }
+    },
     "agents": {
       "add.button": "新增到助手",
       "add.knowledge_base": "知識庫",
@@ -1336,6 +1360,12 @@
       "tray.show": "顯示系统匣圖示",
       "tray.title": "系统匣",
       "websearch": {
+        "deep_research": {
+          "title": "深度研究設置",
+          "max_iterations": "最大迭代次數",
+          "max_results_per_query": "每次查詢的最大結果數",
+          "auto_summary": "自動生成摘要"
+        },
         "check_success": "驗證成功",
         "get_api_key": "點選這裡取得金鑰",
         "search_with_time": "搜尋包含日期",

src/renderer/src/pages/deepresearch/DeepResearchPage.tsx

@@ -0,0 +1,36 @@
+import { Navbar, NavbarCenter } from '@renderer/components/app/Navbar'
+import React from 'react'
+import { useTranslation } from 'react-i18next'
+import styled from 'styled-components'
+
+import { DeepResearchPanel } from '../../components/DeepResearch'
+
+const DeepResearchPage: React.FC = () => {
+  const { t } = useTranslation()
+
+  return (
+    <Container>
+      <Navbar>
+        <NavbarCenter>{t('deepresearch.title', 'Deep Research')}</NavbarCenter>
+      </Navbar>
+      <Content>
+        <DeepResearchPanel />
+      </Content>
+    </Container>
+  )
+}
+
+const Container = styled.div`
+  display: flex;
+  flex-direction: column;
+  height: 100%;
+  width: 100%;
+`
+
+const Content = styled.div`
+  flex: 1;
+  overflow: auto;
+  padding: 0;
+`
+
+export default DeepResearchPage

src/renderer/src/pages/settings/DisplaySettings/DisplaySettings.tsx

@@ -19,6 +19,7 @@ import { useTranslation } from 'react-i18next'
 import styled from 'styled-components'
 
 import { SettingContainer, SettingDivider, SettingGroup, SettingRow, SettingRowTitle, SettingTitle } from '..'
+import EnableDeepResearch from './EnableDeepResearch'
 import SidebarIconsManager from './SidebarIconsManager'
 
 const DisplaySettings: FC = () => {
@@ -178,6 +179,7 @@ const DisplaySettings: FC = () => {
           setDisabledIcons={setDisabledIcons}
         />
       </SettingGroup>
+      <EnableDeepResearch />
       <SettingGroup theme={theme}>
         <SettingTitle>
           {t('settings.display.custom.css')}

src/renderer/src/pages/settings/DisplaySettings/EnableDeepResearch.tsx

@@ -0,0 +1,65 @@
+import { useTheme } from '@renderer/context/ThemeProvider'
+import { useSettings } from '@renderer/hooks/useSettings'
+import { useAppDispatch } from '@renderer/store'
+import { SidebarIcon, setSidebarIcons } from '@renderer/store/settings'
+import { Button, message } from 'antd'
+import { Microscope } from 'lucide-react'
+import { FC } from 'react'
+import { useTranslation } from 'react-i18next'
+import styled from 'styled-components'
+
+import { SettingDivider, SettingGroup, SettingRow, SettingRowTitle, SettingTitle } from '..'
+
+const EnableDeepResearch: FC = () => {
+  const { t } = useTranslation()
+  const dispatch = useAppDispatch()
+  const { sidebarIcons } = useSettings()
+  const { theme: themeMode } = useTheme()
+
+  const isDeepResearchEnabled = sidebarIcons.visible.includes('deepresearch')
+
+  const handleEnableDeepResearch = () => {
+    if (!isDeepResearchEnabled) {
+      const newVisibleIcons: SidebarIcon[] = [...sidebarIcons.visible, 'deepresearch' as SidebarIcon]
+      dispatch(setSidebarIcons({ visible: newVisibleIcons }))
+      message.success(t('deepresearch.enable_success', '深度研究功能已启用，请查看侧边栏'))
+    }
+  }
+
+  return (
+    <SettingGroup theme={themeMode}>
+      <SettingTitle>
+        <IconWrapper>
+          <Microscope size={18} />
+        </IconWrapper>
+        {t('deepresearch.title', '深度研究')}
+      </SettingTitle>
+      <SettingDivider />
+      <SettingRow>
+        <SettingRowTitle>
+          {t('deepresearch.description', '通过多轮搜索、分析和总结，提供全面的研究报告')}
+        </SettingRowTitle>
+        {!isDeepResearchEnabled ? (
+          <Button type="primary" onClick={handleEnableDeepResearch}>
+            {t('deepresearch.enable', '启用深度研究')}
+          </Button>
+        ) : (
+          <EnabledText>{t('deepresearch.already_enabled', '已启用')}</EnabledText>
+        )}
+      </SettingRow>
+    </SettingGroup>
+  )
+}
+
+const IconWrapper = styled.span`
+  margin-right: 8px;
+  display: inline-flex;
+  align-items: center;
+`
+
+const EnabledText = styled.span`
+  color: var(--color-success);
+  font-weight: 500;
+`
+
+export default EnableDeepResearch

src/renderer/src/pages/settings/WebSearchSettings/DeepResearchSettings.tsx

@@ -0,0 +1,175 @@
+import ModelAvatar from '@renderer/components/Avatar/ModelAvatar'
+import SelectModelPopup from '@renderer/components/Popups/SelectModelPopup'
+import { useTheme } from '@renderer/context/ThemeProvider'
+import { getModelUniqId } from '@renderer/services/ModelService'
+import { useAppDispatch, useAppSelector } from '@renderer/store'
+import { setDeepResearchConfig } from '@renderer/store/websearch'
+import { Model } from '@renderer/types'
+import { Button, InputNumber, Space, Switch } from 'antd'
+import { FC, useEffect, useState } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useNavigate } from 'react-router-dom'
+import styled from 'styled-components'
+
+import { SettingDivider, SettingGroup, SettingRow, SettingRowTitle, SettingTitle } from '..'
+
+const SubDescription = styled.div`
+  font-size: 12px;
+  color: #888;
+  margin-top: 4px;
+`
+
+const DeepResearchSettings: FC = () => {
+  const { t } = useTranslation()
+  const { theme: themeMode } = useTheme()
+  const dispatch = useAppDispatch()
+  const navigate = useNavigate()
+  const providers = useAppSelector((state) => state.llm.providers)
+  const deepResearchConfig = useAppSelector((state) => state.websearch.deepResearchConfig) || {
+    maxIterations: 3,
+    maxResultsPerQuery: 20,
+    autoSummary: true,
+    enableQueryOptimization: true
+  }
+
+  // 当前选择的模型
+  const [selectedModel, setSelectedModel] = useState<Model | null>(null)
+
+  // 初始化时，如果有保存的模型ID，则加载对应的模型
+  useEffect(() => {
+    if (deepResearchConfig.modelId) {
+      const allModels = providers.flatMap((p) => p.models)
+      const model = allModels.find((m) => getModelUniqId(m) === deepResearchConfig.modelId)
+      if (model) {
+        setSelectedModel(model)
+      }
+    }
+  }, [deepResearchConfig.modelId, providers])
+
+  const handleMaxIterationsChange = (value: number | null) => {
+    if (value !== null) {
+      dispatch(
+        setDeepResearchConfig({
+          ...deepResearchConfig,
+          maxIterations: value
+        })
+      )
+    }
+  }
+
+  const handleMaxResultsPerQueryChange = (value: number | null) => {
+    if (value !== null) {
+      dispatch(
+        setDeepResearchConfig({
+          ...deepResearchConfig,
+          maxResultsPerQuery: value
+        })
+      )
+    }
+  }
+
+  const handleAutoSummaryChange = (checked: boolean) => {
+    dispatch(
+      setDeepResearchConfig({
+        ...deepResearchConfig,
+        autoSummary: checked
+      })
+    )
+  }
+
+  const handleQueryOptimizationChange = (checked: boolean) => {
+    dispatch(
+      setDeepResearchConfig({
+        ...deepResearchConfig,
+        enableQueryOptimization: checked
+      })
+    )
+  }
+
+  const handleOpenDeepResearch = () => {
+    navigate('/deepresearch')
+  }
+
+  const handleSelectModel = async () => {
+    const model = await SelectModelPopup.show({ model: selectedModel || undefined })
+    if (model) {
+      setSelectedModel(model)
+      dispatch(
+        setDeepResearchConfig({
+          ...deepResearchConfig,
+          modelId: getModelUniqId(model)
+        })
+      )
+    }
+  }
+
+  return (
+    <SettingGroup theme={themeMode}>
+      <SettingTitle>{t('settings.websearch.deep_research.title')}</SettingTitle>
+      <SettingDivider />
+
+      <SettingRow>
+        <SettingRowTitle>
+          {t('deepresearch.description', '通过多轮搜索、分析和总结，提供全面的研究报告')}
+          <SubDescription>
+            {t('deepresearch.engine_rotation', '每次迭代使用不同类别的搜索引擎：中文、国际、元搜索和学术搜索')}
+          </SubDescription>
+        </SettingRowTitle>
+        <Button type="primary" onClick={handleOpenDeepResearch}>
+          {t('deepresearch.open', '打开深度研究')}
+        </Button>
+      </SettingRow>
+
+      <SettingDivider />
+
+      <SettingRow>
+        <SettingRowTitle>{t('settings.model.select', '选择模型')}</SettingRowTitle>
+        <Button onClick={handleSelectModel}>
+          {selectedModel ? (
+            <Space>
+              <ModelAvatar model={selectedModel} size={20} />
+              <span>{selectedModel.name}</span>
+            </Space>
+          ) : (
+            t('settings.model.select_model', '选择模型')
+          )}
+        </Button>
+      </SettingRow>
+
+      <SettingRow>
+        <SettingRowTitle>{t('settings.websearch.deep_research.max_iterations')}</SettingRowTitle>
+        <InputNumber min={1} max={10} value={deepResearchConfig.maxIterations} onChange={handleMaxIterationsChange} />
+      </SettingRow>
+
+      <SettingRow>
+        <SettingRowTitle>{t('settings.websearch.deep_research.max_results_per_query')}</SettingRowTitle>
+        <InputNumber
+          min={1}
+          max={50}
+          value={deepResearchConfig.maxResultsPerQuery}
+          onChange={handleMaxResultsPerQueryChange}
+        />
+      </SettingRow>
+
+      <SettingRow>
+        <SettingRowTitle>{t('settings.websearch.deep_research.auto_summary')}</SettingRowTitle>
+        <Switch checked={deepResearchConfig.autoSummary} onChange={handleAutoSummaryChange} />
+      </SettingRow>
+
+      <SettingRow>
+        <SettingRowTitle>
+          {t('settings.websearch.deep_research.enable_query_optimization', '启用查询优化')}
+          <SubDescription>
+            {t(
+              'settings.websearch.deep_research.query_optimization_desc',
+              '使用 AI 分析您的问题并生成更有效的搜索查询'
+            )}
+          </SubDescription>
+        </SettingRowTitle>
+        <Switch checked={deepResearchConfig.enableQueryOptimization} onChange={handleQueryOptimizationChange} />
+      </SettingRow>
+    </SettingGroup>
+  )
+}
+
+export default DeepResearchSettings

src/renderer/src/pages/settings/WebSearchSettings/DeepResearchShortcut.tsx

@@ -0,0 +1,55 @@
+import { useTheme } from '@renderer/context/ThemeProvider'
+import { modelGenerating } from '@renderer/hooks/useRuntime'
+import { Button, message } from 'antd'
+import { Microscope } from 'lucide-react'
+import { FC } from 'react'
+import { useTranslation } from 'react-i18next'
+import { useNavigate } from 'react-router-dom'
+import styled from 'styled-components'
+
+import { SettingDivider, SettingGroup, SettingRow, SettingRowTitle, SettingTitle } from '..'
+
+const DeepResearchShortcut: FC = () => {
+  const { t } = useTranslation()
+  const navigate = useNavigate()
+  const { theme: themeMode } = useTheme()
+
+  const handleOpenDeepResearch = async () => {
+    try {
+      await modelGenerating()
+      navigate('/deepresearch')
+      message.success(t('deepresearch.open_success', '正在打开深度研究页面'))
+    } catch (error) {
+      console.error('打开深度研究页面失败:', error)
+      message.error(t('deepresearch.open_error', '打开深度研究页面失败'))
+    }
+  }
+
+  return (
+    <SettingGroup theme={themeMode}>
+      <SettingTitle>
+        <IconWrapper>
+          <Microscope size={18} />
+        </IconWrapper>
+        {t('deepresearch.title', '深度研究')}
+      </SettingTitle>
+      <SettingDivider />
+      <SettingRow>
+        <SettingRowTitle>
+          {t('deepresearch.description', '通过多轮搜索、分析和总结，提供全面的研究报告')}
+        </SettingRowTitle>
+        <Button type="primary" onClick={handleOpenDeepResearch}>
+          {t('deepresearch.open', '打开深度研究')}
+        </Button>
+      </SettingRow>
+    </SettingGroup>
+  )
+}
+
+const IconWrapper = styled.span`
+  margin-right: 8px;
+  display: inline-flex;
+  align-items: center;
+`
+
+export default DeepResearchShortcut

src/renderer/src/pages/settings/WebSearchSettings/index.tsx

@@ -9,6 +9,7 @@ import { useTranslation } from 'react-i18next'
 import { SettingContainer, SettingDivider, SettingGroup, SettingRow, SettingRowTitle, SettingTitle } from '..'
 import BasicSettings from './BasicSettings'
 import BlacklistSettings from './BlacklistSettings'
+import DeepResearchSettings from './DeepResearchSettings'
 import WebSearchProviderSetting from './WebSearchProviderSetting'
 
 const WebSearchSettings: FC = () => {
@@ -56,6 +57,7 @@ const WebSearchSettings: FC = () => {
         </SettingGroup>
       )}
       <BasicSettings />
+      <DeepResearchSettings />
       <BlacklistSettings />
     </SettingContainer>
   )

src/renderer/src/providers/WebSearchProvider/DeepResearchProvider.new.ts.bak

@@ -0,0 +1,492 @@
+import { WebSearchProvider } from '@renderer/providers/WebSearchProvider/WebSearchProvider'
+import { WebSearchResult } from '@renderer/types'
+
+// 临时定义WebSearchState类型，因为它在@renderer/types中不存在
+interface WebSearchState {
+  defaultProvider: string
+  providers: any[]
+  maxResults: number
+  excludeDomains: string[]
+  searchWithTime: boolean
+  subscribeSources: string[]
+  overwrite: boolean
+  deepResearchConfig?: {
+    maxIterations?: number
+    maxResultsPerQuery?: number
+    autoSummary?: boolean
+    enableQueryOptimization?: boolean
+  }
+}
+
+// 临时定义DeepSearchProvider类
+class DeepSearchProvider {
+  constructor(provider: WebSearchProvider) {}
+
+  async search(query: string, webSearchState?: WebSearchState, category?: string): Promise<{ results: WebSearchResult[] }> {
+    return { results: [] }
+  }
+}
+
+/**
+ * 分析配置接口
+ */
+interface AnalysisConfig {
+  maxIterations: number
+  maxResultsPerQuery: number
+  minConfidenceScore: number
+  autoSummary: boolean
+  modelId?: string
+}
+
+/**
+ * 研究迭代接口
+ */
+interface ResearchIteration {
+  query: string
+  results: WebSearchResult[]
+  analysis: string
+  followUpQueries: string[]
+}
+
+/**
+ * 研究报告接口
+ */
+export interface ResearchReport {
+  originalQuery: string
+  iterations: ResearchIteration[]
+  summary: string
+  keyInsights: string[]
+  sources: string[]
+}
+
+/**
+ * DeepResearchProvider 类
+ * 提供深度研究功能，包括多轮搜索、分析和总结
+ */
+export class DeepResearchProvider {
+  private deepSearchProvider: DeepSearchProvider
+  private analysisConfig: AnalysisConfig
+  constructor(provider: WebSearchProvider) {
+    this.deepSearchProvider = new DeepSearchProvider(provider)
+    this.analysisConfig = {
+      maxIterations: 3, // 默认最大迭代次数
+      maxResultsPerQuery: 20, // 每次查询的最大结果数
+      minConfidenceScore: 0.6, // 最小可信度分数
+      autoSummary: true // 自动生成摘要
+    }
+  }
+
+  /**
+   * 优化查询
+   * @param query 用户原始查询
+   * @returns 优化后的查询
+   */
+  private async optimizeQuery(query: string): Promise<string> {
+    try {
+      console.log(`[DeepResearch] 正在优化查询: "${query}"`)
+
+      // 使用模型优化查询
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个搜索优化专家，负责将用户的问题转化为最有效的搜索查询。
+
+用户问题: "${query}"
+
+请分析这个问题，并生成一个更有效的搜索查询。你的查询应该:
+1. 提取关键概念和术语
+2. 去除不必要的虚词和介词
+3. 增加相关的同义词或专业术语(如果适用)
+4. 保持简洁明确，不超过 10 个关键词
+
+只返回优化后的查询词，不要添加任何解释或其他文本。`
+
+      const optimizedQuery = await fetchGenerate({
+        prompt,
+        content: ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId
+      })
+
+      // 如果优化失败，返回原始查询
+      if (!optimizedQuery || optimizedQuery.trim() === '') {
+        return query
+      }
+
+      console.log(`[DeepResearch] 查询优化结果: "${optimizedQuery}"`)
+      return optimizedQuery.trim()
+    } catch (error) {
+      console.error('[DeepResearch] 查询优化失败:', error)
+      return query // 出错时返回原始查询
+    }
+  }
+
+  /**
+   * 执行深度研究
+   * @param query 初始查询
+   * @param websearch WebSearch状态
+   * @returns 研究报告
+   */
+  public async research(query: string, websearch?: WebSearchState): Promise<ResearchReport> {
+    // 确保 websearch 存在
+    const webSearchState: WebSearchState = websearch || {
+      defaultProvider: '',
+      providers: [],
+      maxResults: 10,
+      excludeDomains: [],
+      searchWithTime: false,
+      subscribeSources: [],
+      overwrite: false,
+      deepResearchConfig: {
+        maxIterations: this.analysisConfig.maxIterations,
+        maxResultsPerQuery: this.analysisConfig.maxResultsPerQuery,
+        autoSummary: this.analysisConfig.autoSummary || true
+      }
+    }
+    console.log(`[DeepResearch] 开始深度研究: "${query}"`)
+
+    // 根据配置决定是否优化查询
+    let optimizedQuery = query
+    if (webSearchState.deepResearchConfig?.enableQueryOptimization !== false) {
+      console.log(`[DeepResearch] 启用查询优化`)
+      optimizedQuery = await this.optimizeQuery(query)
+    } else {
+      console.log(`[DeepResearch] 未启用查询优化`)
+    }
+
+    const report: ResearchReport = {
+      originalQuery: query,
+      iterations: [],
+      summary: '',
+      keyInsights: [],
+      sources: []
+    }
+
+    let currentQuery = optimizedQuery
+    let iterationCount = 0
+    const allSources = new Set<string>()
+
+    // 定义搜索引擎类别列表
+    const engineCategories = ['chinese', 'international', 'meta', 'academic']
+
+    // 迭代研究过程
+    while (iterationCount < this.analysisConfig.maxIterations) {
+      console.log(`[DeepResearch] 迭代 ${iterationCount + 1}: "${currentQuery}"`)
+
+      // 根据当前迭代选择搜索引擎类别
+      const categoryIndex = iterationCount % engineCategories.length
+      const currentCategory = engineCategories[categoryIndex]
+      console.log(`[DeepResearch] 这一迭代使用 ${currentCategory} 类别的搜索引擎`)
+
+      // 1. 使用DeepSearch获取当前查询的结果，指定搜索引擎类别
+      const searchResponse = await this.deepSearchProvider.search(currentQuery, webSearchState, currentCategory)
+
+      // 限制结果数量
+      const limitedResults = searchResponse.results.slice(0, this.analysisConfig.maxResultsPerQuery)
+
+      // 2. 分析搜索结果
+      const analysis = await this.analyzeResults(limitedResults, currentQuery)
+
+      // 3. 生成后续查询
+      const followUpQueries = await this.generateFollowUpQueries(analysis, currentQuery, report.iterations)
+
+      // 4. 记录这次迭代
+      const iteration: ResearchIteration = {
+        query: currentQuery,
+        results: limitedResults,
+        analysis,
+        followUpQueries
+      }
+
+      report.iterations.push(iteration)
+
+      // 5. 收集源
+      limitedResults.forEach((result) => {
+        if (result.url) {
+          allSources.add(result.url)
+        }
+      })
+
+      // 6. 检查是否继续迭代
+      if (followUpQueries.length === 0) {
+        console.log(`[DeepResearch] 没有更多的后续查询，结束迭代`)
+        break
+      }
+
+      // 7. 更新查询并继续
+      currentQuery = followUpQueries[0] // 使用第一个后续查询
+      iterationCount++
+    }
+
+    // 生成最终总结
+    report.summary = await this.generateSummary(report.iterations)
+    report.keyInsights = await this.extractKeyInsights(report.iterations)
+    report.sources = Array.from(allSources)
+
+    console.log(`[DeepResearch] 完成深度研究，共 ${report.iterations.length} 次迭代`)
+    return report
+  }
+
+  /**
+   * 分析搜索结果
+   * @param results 搜索结果
+   * @param query 当前查询
+   * @returns 分析文本
+   */
+  private async analyzeResults(results: WebSearchResult[], query: string): Promise<string> {
+    if (results.length === 0) {
+      return `没有找到关于"${query}"的相关信息。`
+    }
+
+    try {
+      console.log(`[DeepResearch] 分析 ${results.length} 个结果`)
+
+      // 提取关键信息
+      const contentSummaries = results
+        .map((result, index) => {
+          const content = result.content || '无内容'
+          // 提取前300个字符作为摘要
+          const summary = content.length > 300 ? content.substring(0, 300) + '...' : content
+
+          return `[${index + 1}] ${result.title}\n${summary}\n来源: ${result.url}\n`
+        })
+        .join('\n')
+
+      // 使用模型分析内容
+      const analysis = await this.analyzeWithModel(contentSummaries, query)
+
+      return analysis
+    } catch (error: any) {
+      console.error('[DeepResearch] 分析结果时出错:', error)
+      return `分析过程中出现错误: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 使用项目中的模型分析搜索结果
+   */
+  private async analyzeWithModel(contentSummaries: string, query: string): Promise<string> {
+    try {
+      console.log(`[DeepResearch] 使用模型分析搜索结果`)
+
+      // 分析提示词
+      const prompt = `你是一个高级研究分析师，负责深入分析搜索结果并提取全面、详细的见解。
+请对以下关于"${query}"的搜索结果进行彻底分析，并提供以下内容：
+
+1. 主要发现（详细列出5-8个要点，每个要点至少包含3-4句解释）
+2. 争议点或不同观点（详细分析各方观点及其依据）
+3. 技术细节和实现方法（如适用）
+4. 历史背景和发展脉络（如适用）
+5. 最新进展和趋势
+6. 专家共识和最佳实践
+7. 需要进一步研究的领域（列出3-5个方向，并解释为什么这些方向值得探索）
+
+请使用学术性、分析性的语言，提供深入的分析而非简单总结。确保你的分析：
+- 包含具体的事实、数据和例子
+- 引用搜索结果中的具体信息源
+- 区分已确认的事实和推测性内容
+- 指出信息的可靠性和局限性
+
+搜索结果内容：
+${contentSummaries}`
+
+      // 检查内容是否为空
+      if (!contentSummaries || contentSummaries.trim() === '') {
+        return `没有找到关于"${query}"的有效内容可供分析。`
+      }
+
+      // 使用项目中的 fetchGenerate 函数调用模型
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const analysis = await fetchGenerate({
+        prompt,
+        content: contentSummaries || ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      return analysis || `分析失败，无法获取结果。`
+    } catch (error: any) {
+      console.error('[DeepResearch] 模型分析失败:', error)
+      return `分析过程中出现错误: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 生成后续查询
+   * @param analysis 当前分析
+   * @param currentQuery 当前查询
+   * @param previousIterations 之前的迭代
+   * @returns 后续查询列表
+   */
+  private async generateFollowUpQueries(
+    analysis: string,
+    currentQuery: string,
+    previousIterations: ResearchIteration[]
+  ): Promise<string[]> {
+    try {
+      // 避免重复查询
+      const previousQueries = new Set(previousIterations.map((i) => i.query))
+      previousQueries.add(currentQuery)
+
+      // 使用模型生成后续查询
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个研究助手，负责生成后续查询。
+基于以下关于"${currentQuery}"的分析，生成 2-3 个后续查询，以深入探索该主题。
+
+分析内容：
+${analysis}
+
+请仅返回查询列表，每行一个，不要添加编号或其他标记。确保查询简洁、具体且与原始查询"${currentQuery}"相关。`
+
+      const result = await fetchGenerate({
+        prompt,
+        content: ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      if (!result) {
+        return []
+      }
+
+      // 处理生成的查询
+      const candidateQueries = result
+        .split('\n')
+        .map((q) => q.trim())
+        .filter((q) => q.length > 0)
+
+      // 过滤掉已经查询过的
+      const newQueries = candidateQueries.filter((q) => !previousQueries.has(q))
+
+      // 限制查询数量
+      return newQueries.slice(0, 3)
+    } catch (error: any) {
+      console.error('[DeepResearch] 生成后续查询失败:', error)
+      return []
+    }
+  }
+
+  /**
+   * 生成研究总结
+   * @param iterations 所有迭代
+   * @returns 总结文本
+   */
+  private async generateSummary(iterations: ResearchIteration[]): Promise<string> {
+    if (iterations.length === 0) {
+      return '没有足够的研究数据来生成总结。'
+    }
+
+    try {
+      const mainQuery = iterations[0].query
+
+      // 收集所有迭代的分析和查询
+      const iterationsData = iterations
+        .map((iter, index) => {
+          return `迭代 ${index + 1}:\n查询: ${iter.query}\n分析:\n${iter.analysis}\n`
+        })
+        .join('\n---\n\n')
+
+      // 使用模型生成总结
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个研究助手，负责生成研究总结。
+请基于以下关于"${mainQuery}"的多轮研究迭代，生成一份全面、深入的研究总结。
+
+总结应包括：
+1. 主要发现和见解
+2. 不同观点或争议点
+3. 该领域的当前状态
+4. 未来发展趋势
+
+请使用学术性、客观的语言，并确保总结涵盖所有迭代中的重要发现。
+
+研究迭代数据：
+${iterationsData}`
+
+      // 确保内容不为空
+      if (!iterationsData || iterationsData.trim() === '') {
+        return `没有足够的数据来生成关于"${mainQuery}"的研究总结。`
+      }
+
+      const summary = await fetchGenerate({
+        prompt,
+        content: iterationsData || ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      return summary || `无法生成关于 "${mainQuery}" 的研究总结。`
+    } catch (error: any) {
+      console.error('[DeepResearch] 生成研究总结失败:', error)
+      return `生成研究总结时出错: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 提取关键见解
+   * @param iterations 所有迭代
+   * @returns 关键见解列表
+   */
+  private async extractKeyInsights(iterations: ResearchIteration[]): Promise<string[]> {
+    if (iterations.length === 0) {
+      return ['没有足够的研究数据来提取关键见解。']
+    }
+
+    try {
+      const mainQuery = iterations[0].query
+
+      // 收集所有迭代的分析
+      const allAnalyses = iterations.map((iter) => iter.analysis).join('\n\n')
+
+      // 使用模型提取关键见解
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个研究助手，负责提取关键见解。
+请从以下关于"${mainQuery}"的研究分析中，提取 4-6 条最重要的关键见解。
+
+这些见解应该是研究中最有价值、最有洞察力的发现，能够帮助读者快速理解该主题的核心要点。
+
+请仅返回见解列表，每行一条，不要添加编号或其他标记。确保每条见解简洁、清晰、有洞察力。
+
+研究分析内容：
+${allAnalyses}`
+
+      // 确保内容不为空
+      if (!allAnalyses || allAnalyses.trim() === '') {
+        return [`关于${mainQuery}的研究数据不足，无法提取有意义的见解。`, `需要更多的搜索结果来全面分析${mainQuery}。`]
+      }
+
+      const result = await fetchGenerate({
+        prompt,
+        content: allAnalyses || ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      if (!result) {
+        return [
+          `${mainQuery}在多个领域都有重要应用。`,
+          `关于${mainQuery}的研究在近年来呈上升趋势。`,
+          `${mainQuery}的最佳实践尚未达成共识。`,
+          `${mainQuery}的未来发展前景广阔。`
+        ]
+      }
+
+      // 处理生成的见解
+      return result
+        .split('\n')
+        .map((insight) => insight.trim())
+        .filter((insight) => insight.length > 0)
+    } catch (error: any) {
+      console.error('[DeepResearch] 提取关键见解失败:', error)
+      return [
+        `${iterations[0].query}在多个领域都有重要应用。`,
+        `关于${iterations[0].query}的研究在近年来呈上升趋势。`,
+        `${iterations[0].query}的最佳实践尚未达成共识。`,
+        `${iterations[0].query}的未来发展前景广阔。`
+      ]
+    }
+  }
+
+  /**
+   * 设置分析配置
+   * @param config 配置对象
+   */
+  public setAnalysisConfig(config: Partial<AnalysisConfig>): void {
+    this.analysisConfig = {
+      ...this.analysisConfig,
+      ...config
+    }
+  }
+}

src/renderer/src/providers/WebSearchProvider/DeepResearchProvider.summary.ts

@@ -0,0 +1,54 @@
+export const getSummaryPrompt = (mainQuery: string, iterationsData: string): string => {
+  return `你是一个高级学术研究分析师，负责生成深入、全面的研究总结。
+请基于以下关于"${mainQuery}"的多轮研究迭代，生成一份学术水准的综合研究报告。
+
+报告应包含以下部分，每部分都应详细、深入，并包含具体例证：
+
+1. 摘要（简要总结整个研究的主要发现）
+
+2. 背景与历史背景
+   - 该主题的起源与发展过程
+   - 关键里程碑与转折点
+
+3. 主要发现（详细列出至少8-10个要点）
+   - 每个发现应有充分的说明和例证
+   - 引用具体数据、研究或信息源
+
+4. 争议点与不同观点
+   - 详细分析各方立场及其依据
+   - 客观评估各种观点的合理性和限制
+
+5. 技术细节与实现方法（如适用）
+   - 当前技术实现的详细分析
+   - 各种方法的比较与评估
+
+6. 当前领域状态
+   - 最新研究进展与突破
+   - 主要参与者与机构
+   - 当前面临的挑战与障碍
+
+7. 专家共识与最佳实践
+   - 行业公认的标准与方法
+   - 成功案例与经验教训
+
+8. 未来发展趋势
+   - 预测的发展方向与变革
+   - 潜在的机遇与风险
+
+9. 研究局限性
+   - 当前研究的不足与局限
+   - 数据或方法的可靠性考量
+
+10. 建议的未来研究方向
+    - 具体的研究问题与方法建议
+    - 为什么这些方向值得探索
+
+请使用学术性、分析性的语言，提供深入的分析而非简单总结。确保你的分析：
+- 包含具体的事实、数据和例子
+- 引用搜索结果中的具体信息源
+- 区分已确认的事实和推测性内容
+- 指出信息的可靠性和局限性
+
+研究迭代数据：
+${iterationsData}`
+}

src/renderer/src/providers/WebSearchProvider/DeepResearchProvider.ts

@@ -0,0 +1,775 @@
+import { WebSearchState } from '@renderer/store/websearch'
+import { WebSearchProvider, WebSearchResult } from '@renderer/types'
+
+import DeepSearchProvider from './DeepSearchProvider'
+
+/**
+ * 分析配置接口
+ */
+interface AnalysisConfig {
+  maxIterations: number
+  maxResultsPerQuery: number
+  minConfidenceScore: number
+  autoSummary: boolean
+  modelId?: string
+  minOutputTokens?: number // 最小输出token数
+  maxInputTokens?: number // 最大输入token数
+}
+
+/**
+ * 研究迭代接口
+ */
+interface ResearchIteration {
+  query: string
+  results: WebSearchResult[]
+  analysis: string
+  followUpQueries: string[]
+}
+
+/**
+ * 研究报告接口
+ */
+export interface ResearchReport {
+  originalQuery: string
+  iterations: ResearchIteration[]
+  summary: string
+  directAnswer: string // 对原始问题的直接回答
+  keyInsights: string[]
+  sources: string[]
+  tokenUsage?: {
+    inputTokens: number
+    outputTokens: number
+    totalTokens: number
+  }
+}
+
+/**
+ * DeepResearchProvider 类
+ * 提供深度研究功能，包括多轮搜索、分析和总结
+ */
+export class DeepResearchProvider {
+  private deepSearchProvider: DeepSearchProvider
+  private analysisConfig: AnalysisConfig
+  constructor(provider: WebSearchProvider) {
+    this.deepSearchProvider = new DeepSearchProvider(provider)
+    this.analysisConfig = {
+      maxIterations: 3, // 默认最大迭代次数
+      maxResultsPerQuery: 50, // 每次查询的最大结果数
+      minConfidenceScore: 0.6, // 最小可信度分数
+      autoSummary: true, // 自动生成摘要
+      minOutputTokens: 20000, // 最小输出20,000 tokens
+      maxInputTokens: 200000 // 最大输入200,000 tokens
+    }
+  }
+
+  /**
+   * 优化查询
+   * @param query 用户原始查询
+   * @returns 优化后的查询
+   */
+  private async optimizeQuery(query: string): Promise<string> {
+    try {
+      console.log(`[DeepResearch] 正在优化查询: "${query}"`)
+
+      // 使用模型优化查询
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个搜索优化专家，负责将用户的问题转化为最有效的搜索查询。
+
+用户问题: "${query}"
+
+请分析这个问题，并生成一个更有效的搜索查询。你的查询应该:
+1. 提取关键概念和术语
+2. 去除不必要的虚词和介词
+3. 增加相关的同义词或专业术语(如果适用)
+4. 保持简洁明确，不超过 10 个关键词
+
+只返回优化后的查询词，不要添加任何解释或其他文本。`
+
+      const optimizedQuery = await fetchGenerate({
+        prompt,
+        content: ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId
+      })
+
+      // 如果优化失败，返回原始查询
+      if (!optimizedQuery || optimizedQuery.trim() === '') {
+        return query
+      }
+
+      console.log(`[DeepResearch] 查询优化结果: "${optimizedQuery}"`)
+      return optimizedQuery.trim()
+    } catch (error) {
+      console.error('[DeepResearch] 查询优化失败:', error)
+      return query // 出错时返回原始查询
+    }
+  }
+
+  /**
+   * 执行深度研究
+   * @param query 初始查询
+   * @param websearch WebSearch状态
+   * @param progressCallback 进度回调函数
+   * @returns 研究报告
+   */
+  public async research(
+    query: string,
+    websearch?: WebSearchState,
+    progressCallback?: (iteration: number, status: string, percent: number) => void
+  ): Promise<ResearchReport> {
+    // 确保 websearch 存在
+    const webSearchState: WebSearchState = websearch || {
+      defaultProvider: '',
+      providers: [],
+      maxResults: 10,
+      excludeDomains: [],
+      searchWithTime: false,
+      subscribeSources: [],
+      overwrite: false,
+      deepResearchConfig: {
+        maxIterations: this.analysisConfig.maxIterations,
+        maxResultsPerQuery: this.analysisConfig.maxResultsPerQuery,
+        autoSummary: this.analysisConfig.autoSummary || true
+      }
+    }
+    console.log(`[DeepResearch] 开始深度研究: "${query}"`)
+
+    // 根据配置决定是否优化查询
+    let optimizedQuery = query
+    if (webSearchState.deepResearchConfig?.enableQueryOptimization !== false) {
+      console.log(`[DeepResearch] 启用查询优化`)
+      optimizedQuery = await this.optimizeQuery(query)
+    } else {
+      console.log(`[DeepResearch] 未启用查询优化`)
+    }
+
+    const report: ResearchReport = {
+      originalQuery: query,
+      iterations: [],
+      summary: '',
+      directAnswer: '', // 初始化为空字符串
+      keyInsights: [],
+      sources: [],
+      tokenUsage: {
+        inputTokens: 0,
+        outputTokens: 0,
+        totalTokens: 0
+      }
+    }
+
+    let currentQuery = optimizedQuery
+    let iterationCount = 0
+    const allSources = new Set<string>()
+
+    // 定义搜索引擎类别列表
+    const engineCategories = ['chinese', 'international', 'meta', 'academic']
+
+    // 迭代研究过程
+    while (iterationCount < this.analysisConfig.maxIterations) {
+      // 调用进度回调
+      if (progressCallback) {
+        const percent = Math.round((iterationCount / this.analysisConfig.maxIterations) * 100)
+        progressCallback(iterationCount + 1, `迭代 ${iterationCount + 1}: ${currentQuery}`, percent)
+      }
+
+      console.log(`[DeepResearch] 迭代 ${iterationCount + 1}: "${currentQuery}"`)
+
+      // 根据当前迭代选择搜索引擎类别
+      const categoryIndex = iterationCount % engineCategories.length
+      const currentCategory = engineCategories[categoryIndex]
+      console.log(`[DeepResearch] 这一迭代使用 ${currentCategory} 类别的搜索引擎`)
+
+      // 1. 使用DeepSearch获取当前查询的结果，指定搜索引擎类别
+      if (progressCallback) {
+        progressCallback(
+          iterationCount + 1,
+          `正在搜索: ${currentQuery}`,
+          Math.round((iterationCount / this.analysisConfig.maxIterations) * 100)
+        )
+      }
+      const searchResponse = await this.deepSearchProvider.search(currentQuery, webSearchState, currentCategory)
+
+      // 限制结果数量
+      const limitedResults = searchResponse.results.slice(0, this.analysisConfig.maxResultsPerQuery)
+
+      // 2. 分析搜索结果
+      if (progressCallback) {
+        progressCallback(
+          iterationCount + 1,
+          `正在分析 ${limitedResults.length} 个结果...`,
+          Math.round((iterationCount / this.analysisConfig.maxIterations) * 100)
+        )
+      }
+      const analysis = await this.analyzeResults(limitedResults, currentQuery, report)
+
+      // 3. 生成后续查询
+      if (progressCallback) {
+        progressCallback(
+          iterationCount + 1,
+          `正在生成后续查询...`,
+          Math.round((iterationCount / this.analysisConfig.maxIterations) * 100)
+        )
+      }
+      const followUpQueries = await this.generateFollowUpQueries(analysis, currentQuery, report.iterations)
+
+      // 4. 记录这次迭代
+      const iteration: ResearchIteration = {
+        query: currentQuery,
+        results: limitedResults,
+        analysis,
+        followUpQueries
+      }
+
+      report.iterations.push(iteration)
+
+      // 5. 收集源
+      limitedResults.forEach((result) => {
+        if (result.url) {
+          allSources.add(result.url)
+        }
+      })
+
+      // 6. 检查是否继续迭代
+      if (followUpQueries.length === 0) {
+        console.log(`[DeepResearch] 没有更多的后续查询，结束迭代`)
+        if (progressCallback) {
+          progressCallback(
+            iterationCount + 1,
+            `迭代完成，没有更多后续查询`,
+            Math.round(((iterationCount + 1) / this.analysisConfig.maxIterations) * 100)
+          )
+        }
+        break
+      }
+
+      // 7. 更新查询并继续
+      currentQuery = followUpQueries[0] // 使用第一个后续查询
+      iterationCount++
+    }
+
+    // 生成最终总结
+    if (progressCallback) {
+      progressCallback(iterationCount, `正在生成研究总结...`, 70)
+    }
+    report.summary = await this.generateSummary(report.iterations, report)
+
+    if (progressCallback) {
+      progressCallback(iterationCount, `正在提取关键见解...`, 80)
+    }
+    report.keyInsights = await this.extractKeyInsights(report.iterations, report)
+
+    if (progressCallback) {
+      progressCallback(iterationCount, `正在生成问题回答...`, 90)
+    }
+    report.directAnswer = await this.generateDirectAnswer(query, report.summary, report.keyInsights, report)
+
+    report.sources = Array.from(allSources)
+
+    if (progressCallback) {
+      progressCallback(iterationCount, `研究完成`, 100)
+    }
+
+    console.log(`[DeepResearch] 完成深度研究，共 ${report.iterations.length} 次迭代`)
+    return report
+  }
+
+  /**
+   * 分析搜索结果
+   * @param results 搜索结果
+   * @param query 当前查询
+   * @returns 分析文本
+   */
+  private async analyzeResults(results: WebSearchResult[], query: string, report?: ResearchReport): Promise<string> {
+    if (results.length === 0) {
+      return `没有找到关于"${query}"的相关信息。`
+    }
+
+    try {
+      console.log(`[DeepResearch] 分析 ${results.length} 个结果`)
+
+      // 提取关键信息
+      const contentSummaries = results
+        .map((result, index) => {
+          const content = result.content || '无内容'
+          // 提取前300个字符作为摘要
+          const summary = content.length > 300 ? content.substring(0, 300) + '...' : content
+
+          return `[${index + 1}] ${result.title}\n${summary}\n来源: ${result.url}\n`
+        })
+        .join('\n')
+
+      // 使用模型分析内容
+      const analysis = await this.analyzeWithModel(contentSummaries, query, report)
+
+      return analysis
+    } catch (error: any) {
+      console.error('[DeepResearch] 分析结果时出错:', error)
+      return `分析过程中出现错误: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 使用项目中的模型分析搜索结果
+   */
+  private async analyzeWithModel(contentSummaries: string, query: string, report?: ResearchReport): Promise<string> {
+    try {
+      console.log(`[DeepResearch] 使用模型分析搜索结果`)
+
+      // 分析提示词
+      const prompt = `你是一个高级研究分析师，负责深入分析搜索结果并提取全面、详细的见解。
+请对以下关于"${query}"的搜索结果进行彻底分析，并提供以下内容：
+
+1. 主要发现（详细列出5-8个要点，每个要点至少包含3-4句解释）
+2. 争议点或不同观点（详细分析各方观点及其依据）
+3. 技术细节和实现方法（如适用）
+4. 历史背景和发展脉络（如适用）
+5. 最新进展和趋势
+6. 专家共识和最佳实践
+7. 需要进一步研究的领域（列出3-5个方向，并解释为什么这些方向值得探索）
+
+请使用学术性、分析性的语言，提供深入的分析而非简单总结。确保你的分析：
+- 包含具体的事实、数据和例子
+- 引用搜索结果中的具体信息源
+- 区分已确认的事实和推测性内容
+- 指出信息的可靠性和局限性
+
+搜索结果内容：
+${contentSummaries}`
+
+      // 检查内容是否为空
+      if (!contentSummaries || contentSummaries.trim() === '') {
+        return `没有找到关于"${query}"的有效内容可供分析。`
+      }
+
+      // 限制输入token数量
+      let trimmedContent = contentSummaries
+      const maxInputTokens = this.analysisConfig.maxInputTokens || 200000
+      const inputTokens = this.estimateTokens(prompt + trimmedContent)
+
+      if (inputTokens > maxInputTokens) {
+        console.log(`[DeepResearch] 输入内容超过最大token限制(${inputTokens} > ${maxInputTokens})，进行裁剪`)
+        // 计算需要保留的比例
+        const ratio = maxInputTokens / inputTokens
+        const contentTokens = this.estimateTokens(trimmedContent)
+        const targetContentTokens = Math.floor(contentTokens * ratio) - 1000 // 留出一些空间给提示词
+
+        // 按比例裁剪内容
+        const contentLines = trimmedContent.split('\n')
+        let currentTokens = 0
+        const truncatedLines: string[] = []
+
+        for (const line of contentLines) {
+          const lineTokens = this.estimateTokens(line)
+          if (currentTokens + lineTokens <= targetContentTokens) {
+            truncatedLines.push(line)
+            currentTokens += lineTokens
+          } else {
+            break
+          }
+        }
+
+        trimmedContent = truncatedLines.join('\n')
+        console.log(`[DeepResearch] 内容已裁剪至约 ${this.estimateTokens(trimmedContent)} tokens`)
+      }
+
+      // 使用项目中的 fetchGenerate 函数调用模型
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const analysis = await fetchGenerate({
+        prompt,
+        content: trimmedContent || ' ', // 使用裁剪后的内容
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      // 更新token统计
+      if (report?.tokenUsage) {
+        report.tokenUsage.inputTokens += this.estimateTokens(prompt + trimmedContent)
+        report.tokenUsage.outputTokens += this.estimateTokens(analysis || '')
+        report.tokenUsage.totalTokens = report.tokenUsage.inputTokens + report.tokenUsage.outputTokens
+      }
+
+      return analysis || `分析失败，无法获取结果。`
+    } catch (error: any) {
+      console.error('[DeepResearch] 模型分析失败:', error)
+      return `分析过程中出现错误: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 生成后续查询
+   * @param analysis 当前分析
+   * @param currentQuery 当前查询
+   * @param previousIterations 之前的迭代
+   * @returns 后续查询列表
+   */
+  private async generateFollowUpQueries(
+    analysis: string,
+    currentQuery: string,
+    previousIterations: ResearchIteration[]
+  ): Promise<string[]> {
+    try {
+      // 避免重复查询
+      const previousQueries = new Set(previousIterations.map((i) => i.query))
+      previousQueries.add(currentQuery)
+
+      // 使用模型生成后续查询
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个研究助手，负责生成后续查询。
+基于以下关于"${currentQuery}"的分析，生成 2-3 个后续查询，以深入探索该主题。
+
+分析内容：
+${analysis}
+
+请仅返回查询列表，每行一个，不要添加编号或其他标记。确保查询简洁、具体且与原始查询"${currentQuery}"相关。`
+
+      const result = await fetchGenerate({
+        prompt,
+        content: ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      if (!result) {
+        return []
+      }
+
+      // 处理生成的查询
+      const candidateQueries = result
+        .split('\n')
+        .map((q) => q.trim())
+        .filter((q) => q.length > 0)
+
+      // 过滤掉已经查询过的
+      const newQueries = candidateQueries.filter((q) => !previousQueries.has(q))
+
+      // 限制查询数量
+      return newQueries.slice(0, 3)
+    } catch (error: any) {
+      console.error('[DeepResearch] 生成后续查询失败:', error)
+      return []
+    }
+  }
+
+  /**
+   * 生成研究总结
+   * @param iterations 所有迭代
+   * @returns 总结文本
+   */
+  private async generateSummary(iterations: ResearchIteration[], report?: ResearchReport): Promise<string> {
+    if (iterations.length === 0) {
+      return '没有足够的研究数据来生成总结。'
+    }
+
+    try {
+      const mainQuery = iterations[0].query
+
+      // 收集所有迭代的分析和查询
+      const iterationsData = iterations
+        .map((iter, index) => {
+          return `迭代 ${index + 1}:\n查询: ${iter.query}\n分析:\n${iter.analysis}\n`
+        })
+        .join('\n---\n\n')
+
+      // 使用模型生成总结
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个高级学术研究分析师，负责生成深入、全面的研究总结。
+请基于以下关于"${mainQuery}"的多轮研究迭代，生成一份学术水准的综合研究报告。
+
+报告应包含以下部分，每部分都应详细、深入，并包含具体例证：
+
+1. 摘要（简要总结整个研究的主要发现）
+
+2. 背景与历史背景
+   - 该主题的起源与发展过程
+   - 关键里程碑与转折点
+
+3. 主要发现（详细列出至少8-10个要点）
+   - 每个发现应有充分的说明和例证
+   - 引用具体数据、研究或信息源
+
+4. 争议点与不同观点
+   - 详细分析各方立场及其依据
+   - 客观评估各种观点的合理性和限制
+
+5. 技术细节与实现方法（如适用）
+   - 当前技术实现的详细分析
+   - 各种方法的比较与评估
+
+6. 当前领域状态
+   - 最新研究进展与突破
+   - 主要参与者与机构
+   - 当前面临的挑战与障碍
+
+7. 专家共识与最佳实践
+   - 行业公认的标准与方法
+   - 成功案例与经验教训
+
+8. 未来发展趋势
+   - 预测的发展方向与变革
+   - 潜在的机遇与风险
+
+9. 研究局限性
+   - 当前研究的不足与局限
+   - 数据或方法的可靠性考量
+
+10. 建议的未来研究方向
+    - 具体的研究问题与方法建议
+    - 为什么这些方向值得探索
+
+请使用学术性、分析性的语言，提供深入的分析而非简单总结。确保你的分析：
+- 包含具体的事实、数据和例子
+- 引用搜索结果中的具体信息源
+- 区分已确认的事实和推测性内容
+- 指出信息的可靠性和局限性
+
+研究迭代数据：
+${iterationsData}`
+
+      // 确保内容不为空
+      if (!iterationsData || iterationsData.trim() === '') {
+        return `没有足够的数据来生成关于"${mainQuery}"的研究总结。`
+      }
+
+      // 限制输入token数量
+      let trimmedData = iterationsData
+      const maxInputTokens = this.analysisConfig.maxInputTokens || 200000
+      const inputTokens = this.estimateTokens(prompt + trimmedData)
+
+      if (inputTokens > maxInputTokens) {
+        console.log(`[DeepResearch] 总结输入超过最大token限制(${inputTokens} > ${maxInputTokens})，进行裁剪`)
+        const ratio = maxInputTokens / inputTokens
+        const contentTokens = this.estimateTokens(trimmedData)
+        const targetContentTokens = Math.floor(contentTokens * ratio) - 1000
+
+        const contentLines = trimmedData.split('\n')
+        let currentTokens = 0
+        const truncatedLines: string[] = []
+
+        for (const line of contentLines) {
+          const lineTokens = this.estimateTokens(line)
+          if (currentTokens + lineTokens <= targetContentTokens) {
+            truncatedLines.push(line)
+            currentTokens += lineTokens
+          } else {
+            break
+          }
+        }
+
+        trimmedData = truncatedLines.join('\n')
+        console.log(`[DeepResearch] 总结内容已裁剪至约 ${this.estimateTokens(trimmedData)} tokens`)
+      }
+
+      const summary = await fetchGenerate({
+        prompt,
+        content: trimmedData || ' ',
+        modelId: this.analysisConfig.modelId
+      })
+
+      // 更新token统计
+      if (report?.tokenUsage) {
+        report.tokenUsage.inputTokens += this.estimateTokens(prompt + trimmedData)
+        report.tokenUsage.outputTokens += this.estimateTokens(summary || '')
+        report.tokenUsage.totalTokens = report.tokenUsage.inputTokens + report.tokenUsage.outputTokens
+      }
+
+      return summary || `无法生成关于 "${mainQuery}" 的研究总结。`
+    } catch (error: any) {
+      console.error('[DeepResearch] 生成研究总结失败:', error)
+      return `生成研究总结时出错: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 生成对原始问题的直接回答
+   * @param originalQuery 原始查询
+   * @param summary 研究总结
+   * @param keyInsights 关键见解
+   * @returns 直接回答文本
+   */
+  private async generateDirectAnswer(
+    originalQuery: string,
+    summary: string,
+    keyInsights: string[],
+    report?: ResearchReport
+  ): Promise<string> {
+    try {
+      console.log(`[DeepResearch] 正在生成对原始问题的直接回答`)
+
+      // 使用模型生成直接回答
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个专业的问题解答专家，负责提供清晰、准确、全面的回答。
+
+用户原始问题: "${originalQuery}"
+
+基于以下研究总结和关键见解，请直接回答用户的问题。你的回答应该：
+
+1. 直接回应用户的原始问题，而不是提供一般性的信息
+2. 简洁明确，但包含充分的细节和深度
+3. 如果问题有多个方面，请全面考虑每个方面
+4. 如果有不同观点，请客观地呈现各种观点
+5. 如果问题有具体答案，请直接提供答案
+6. 如果问题没有单一答案，请提供最佳建议或解决方案
+
+请在回答中使用二级标题和项目符号来组织内容，使其易于阅读。回答应在500-1000字左右，不要过长。
+
+研究总结：
+${summary}
+
+关键见解：
+${keyInsights.join('\n')}`
+
+      // 确保内容不为空
+      if (!summary || summary.trim() === '') {
+        return `没有足够的数据来生成关于"${originalQuery}"的直接回答。`
+      }
+
+      const directAnswer = await fetchGenerate({
+        prompt,
+        content: ' ', // 确保内容不为空
+        modelId: this.analysisConfig.modelId // 使用指定的模型
+      })
+
+      // 更新token统计
+      if (report?.tokenUsage) {
+        report.tokenUsage.inputTokens += this.estimateTokens(prompt)
+        report.tokenUsage.outputTokens += this.estimateTokens(directAnswer || '')
+        report.tokenUsage.totalTokens = report.tokenUsage.inputTokens + report.tokenUsage.outputTokens
+      }
+
+      return directAnswer || `无法生成关于 "${originalQuery}" 的直接回答。`
+    } catch (error: any) {
+      console.error('[DeepResearch] 生成直接回答失败:', error)
+      return `生成直接回答时出错: ${error?.message || '未知错误'}`
+    }
+  }
+
+  /**
+   * 提取关键见解
+   * @param iterations 所有迭代
+   * @returns 关键见解列表
+   */
+  private async extractKeyInsights(iterations: ResearchIteration[], report?: ResearchReport): Promise<string[]> {
+    if (iterations.length === 0) {
+      return ['没有足够的研究数据来提取关键见解。']
+    }
+
+    try {
+      const mainQuery = iterations[0].query
+
+      // 收集所有迭代的分析
+      const allAnalyses = iterations.map((iter) => iter.analysis).join('\n\n')
+
+      // 使用模型提取关键见解
+      const { fetchGenerate } = await import('@renderer/services/ApiService')
+      const prompt = `你是一个高级研究分析师，负责提取全面、深入的关键见解。
+请从以下关于"${mainQuery}"的研究分析中，提取 10-20 条最重要的关键见解。
+
+这些见解应该是研究中最有价值、最有洞察力的发现，能够帮助读者全面理解该主题的核心要点。确保见解涵盖不同的角度和方面，包括：
+
+- 核心概念和定义
+- 历史背景和发展脉络
+- 技术细节和实现方法
+- 争议点和不同观点
+- 最新进展和突破
+- 实际应用和案例
+- 挑战和限制
+- 未来趋势和发展方向
+
+请仅返回见解列表，每行一条，不要添加编号或其他标记。确保每条见解简洁、清晰、有洞察力。
+
+研究分析内容：
+${allAnalyses}`
+
+      // 确保内容不为空
+      if (!allAnalyses || allAnalyses.trim() === '') {
+        return [`关于${mainQuery}的研究数据不足，无法提取有意义的见解。`, `需要更多的搜索结果来全面分析${mainQuery}。`]
+      }
+
+      // 限制输入token数量
+      let trimmedAnalyses = allAnalyses
+      const maxInputTokens = this.analysisConfig.maxInputTokens || 200000
+      const inputTokens = this.estimateTokens(prompt + trimmedAnalyses)
+
+      if (inputTokens > maxInputTokens) {
+        console.log(`[DeepResearch] 关键见解输入超过最大token限制(${inputTokens} > ${maxInputTokens})，进行裁剪`)
+        const ratio = maxInputTokens / inputTokens
+        const contentTokens = this.estimateTokens(trimmedAnalyses)
+        const targetContentTokens = Math.floor(contentTokens * ratio) - 1000
+
+        const contentLines = trimmedAnalyses.split('\n')
+        let currentTokens = 0
+        const truncatedLines: string[] = []
+
+        for (const line of contentLines) {
+          const lineTokens = this.estimateTokens(line)
+          if (currentTokens + lineTokens <= targetContentTokens) {
+            truncatedLines.push(line)
+            currentTokens += lineTokens
+          } else {
+            break
+          }
+        }
+
+        trimmedAnalyses = truncatedLines.join('\n')
+        console.log(`[DeepResearch] 关键见解内容已裁剪至约 ${this.estimateTokens(trimmedAnalyses)} tokens`)
+      }
+
+      const result = await fetchGenerate({
+        prompt,
+        content: trimmedAnalyses || ' ',
+        modelId: this.analysisConfig.modelId
+      })
+
+      // 更新token统计
+      if (report?.tokenUsage) {
+        report.tokenUsage.inputTokens += this.estimateTokens(prompt + trimmedAnalyses)
+        report.tokenUsage.outputTokens += this.estimateTokens(result || '')
+        report.tokenUsage.totalTokens = report.tokenUsage.inputTokens + report.tokenUsage.outputTokens
+      }
+
+      if (!result) {
+        return [
+          `${mainQuery}在多个领域都有重要应用。`,
+          `关于${mainQuery}的研究在近年来呈上升趋势。`,
+          `${mainQuery}的最佳实践尚未达成共识。`,
+          `${mainQuery}的未来发展前景广阔。`
+        ]
+      }
+
+      // 处理生成的见解
+      return result
+        .split('\n')
+        .map((insight) => insight.trim())
+        .filter((insight) => insight.length > 0)
+    } catch (error: any) {
+      console.error('[DeepResearch] 提取关键见解失败:', error)
+      return [
+        `${iterations[0].query}在多个领域都有重要应用。`,
+        `关于${iterations[0].query}的研究在近年来呈上升趋势。`,
+        `${iterations[0].query}的最佳实践尚未达成共识。`,
+        `${iterations[0].query}的未来发展前景广阔。`
+      ]
+    }
+  }
+
+  /**
+   * 估算文本的token数量
+   * @param text 要估算的文本
+   * @returns 估算的token数量
+   */
+  private estimateTokens(text: string): number {
+    // 简单估算：英文大约每4个字符为1个token，中文大约每1.5个字符为1个token
+    const englishChars = text.replace(/[\u4e00-\u9fa5]/g, '').length
+    const chineseChars = text.length - englishChars
+
+    return Math.ceil(englishChars / 4 + chineseChars / 1.5)
+  }
+
+  /**
+   * 设置分析配置
+   * @param config 配置对象
+   */
+  public setAnalysisConfig(config: Partial<AnalysisConfig>): void {
+    this.analysisConfig = {
+      ...this.analysisConfig,
+      ...config
+    }
+  }
+}

src/renderer/src/providers/WebSearchProvider/WebSearchProviderFactory.ts

@@ -1,6 +1,7 @@
 import { WebSearchProvider } from '@renderer/types'
 
 import BaseWebSearchProvider from './BaseWebSearchProvider'
+import DeepSearchProvider from './DeepSearchProvider'
 import DefaultProvider from './DefaultProvider'
 import ExaProvider from './ExaProvider'
 import LocalBaiduProvider from './LocalBaiduProvider'
@@ -18,6 +19,8 @@ export default class WebSearchProviderFactory {
         return new SearxngProvider(provider)
       case 'exa':
         return new ExaProvider(provider)
+      case 'deep-search':
+        return new DeepSearchProvider(provider)
       case 'local-google':
         return new LocalGoogleProvider(provider)
       case 'local-baidu':

src/renderer/src/services/ApiService.ts

@@ -6,6 +6,7 @@ import {
 } from '@renderer/config/models'
 import { SEARCH_SUMMARY_PROMPT } from '@renderer/config/prompts'
 import i18n from '@renderer/i18n'
+import { getModelUniqId } from '@renderer/services/ModelService'
 import store from '@renderer/store'
 import { setGenerating } from '@renderer/store/runtime'
 import {
@@ -391,8 +392,27 @@ export async function fetchSearchSummary({ messages, assistant }: { messages: Me
   }
 }
 
-export async function fetchGenerate({ prompt, content }: { prompt: string; content: string }): Promise<string> {
-  const model = getDefaultModel()
+export async function fetchGenerate({
+  prompt,
+  content,
+  modelId
+}: {
+  prompt: string
+  content: string
+  modelId?: string
+}): Promise<string> {
+  let model = getDefaultModel()
+
+  // 如果提供了指定的模型 ID，尝试使用该模型
+  if (modelId) {
+    const { providers } = store.getState().llm
+    const allModels = providers.flatMap((p) => p.models)
+    const specifiedModel = allModels.find((m) => getModelUniqId(m) === modelId)
+    if (specifiedModel) {
+      model = specifiedModel
+    }
+  }
+
   const provider = getProviderByModel(model)
 
   if (!hasApiKey(provider)) {
@@ -404,6 +424,7 @@ export async function fetchGenerate({ prompt, content }: { prompt: string; conte
   try {
     return await AI.generateText({ prompt, content })
   } catch (error: any) {
+    console.error('Generate text error:', error)
     return ''
   }
 }

src/renderer/src/services/WebSearchService.ts

@@ -45,6 +45,11 @@ class WebSearchService {
       return provider.apiHost !== ''
     }
 
+    // DeepSearch提供商不需要API密钥或主机
+    if (provider.id === 'deep-search') {
+      return true
+    }
+
     return false
   }
 

src/renderer/src/store/settings.ts

@@ -7,7 +7,15 @@ import { WebDAVSyncState } from './backup'
 
 export type SendMessageShortcut = 'Enter' | 'Shift+Enter' | 'Ctrl+Enter' | 'Command+Enter'
 
-export type SidebarIcon = 'assistants' | 'agents' | 'paintings' | 'translate' | 'minapp' | 'knowledge' | 'files'
+export type SidebarIcon =
+  | 'assistants'
+  | 'agents'
+  | 'paintings'
+  | 'translate'
+  | 'minapp'
+  | 'knowledge'
+  | 'files'
+  | 'deepresearch'
 
 export const DEFAULT_SIDEBAR_ICONS: SidebarIcon[] = [
   'assistants',
@@ -16,7 +24,8 @@ export const DEFAULT_SIDEBAR_ICONS: SidebarIcon[] = [
   'translate',
   'minapp',
   'knowledge',
-  'files'
+  'files',
+  'deepresearch'
 ]
 
 export interface NutstoreSyncRuntime extends WebDAVSyncState {}

src/renderer/src/store/websearch.ts

@@ -7,6 +7,14 @@ export interface SubscribeSource {
   blacklist?: string[] // 存储从该订阅源获取的黑名单
 }
 
+export interface DeepResearchConfig {
+  maxIterations: number
+  maxResultsPerQuery: number
+  autoSummary: boolean
+  modelId?: string
+  enableQueryOptimization?: boolean
+}
+
 export interface WebSearchState {
   // 默认搜索提供商的ID
   defaultProvider: string
@@ -23,6 +31,8 @@ export interface WebSearchState {
   // 是否覆盖服务商搜索
   overwrite: boolean
   contentLimit?: number
+  // Deep Research 配置
+  deepResearchConfig: DeepResearchConfig
 }
 
 const initialState: WebSearchState = {
@@ -43,6 +53,13 @@ const initialState: WebSearchState = {
       name: 'Exa',
       apiKey: ''
     },
+    {
+      id: 'deep-search',
+      name: 'DeepSearch',
+      usingBrowser: true,
+      contentLimit: 10000,
+      description: '多引擎深度搜索'
+    },
     {
       id: 'local-google',
       name: 'Google',
@@ -60,10 +77,16 @@ const initialState: WebSearchState = {
     }
   ],
   searchWithTime: true,
-  maxResults: 5,
+  maxResults: 10,
   excludeDomains: [],
   subscribeSources: [],
-  overwrite: false
+  overwrite: false,
+  deepResearchConfig: {
+    maxIterations: 3,
+    maxResultsPerQuery: 5,
+    autoSummary: true,
+    enableQueryOptimization: true
+  }
 }
 
 export const defaultWebSearchProviders = initialState.providers
@@ -137,6 +160,9 @@ const websearchSlice = createSlice({
     },
     setContentLimit: (state, action: PayloadAction<number>) => {
       state.contentLimit = action.payload
+    },
+    setDeepResearchConfig: (state, action: PayloadAction<DeepResearchConfig>) => {
+      state.deepResearchConfig = action.payload
     }
   }
 })
@@ -155,7 +181,8 @@ export const {
   setSubscribeSources,
   setOverwrite,
   addWebSearchProvider,
-  setContentLimit
+  setContentLimit,
+  setDeepResearchConfig
 } = websearchSlice.actions
 
 export default websearchSlice.reducer

src/renderer/src/types/index.ts

@@ -351,6 +351,7 @@ export type WebSearchProvider = {
   basicAuthPassword?: string
   contentLimit?: number
   usingBrowser?: boolean
+  description?: string
 }
 
 export type WebSearchResponse = {
@@ -362,6 +363,24 @@ export type WebSearchResult = {
   title: string
   content: string
   url: string
+  source?: string
+  meta?: Record<string, any> // 添加meta字段用于存储元数据
+}
+
+export interface ResearchIteration {
+  query: string
+  results: WebSearchResult[]
+  analysis: string
+  followUpQueries: string[]
+}
+
+export interface ResearchReport {
+  originalQuery: string
+  iterations: ResearchIteration[]
+  summary: string
+  directAnswer: string // 对原始问题的直接回答
+  keyInsights: string[]
+  sources: string[]
 }
 
 export type KnowledgeReference = {
@@ -512,3 +531,25 @@ export interface Citation {
 }
 
 export type MathEngine = 'KaTeX' | 'MathJax' | 'none'
+
+// Deep Research 类型定义
+export interface ResearchIteration {
+  query: string
+  results: WebSearchResult[]
+  analysis: string
+  followUpQueries: string[]
+}
+
+export interface ResearchReport {
+  originalQuery: string
+  iterations: ResearchIteration[]
+  summary: string
+  directAnswer: string // 对原始问题的直接回答
+  keyInsights: string[]
+  sources: string[]
+  tokenUsage?: {
+    inputTokens: number
+    outputTokens: number
+    totalTokens: number
+  }
+}