Use platform-specific selector for Windows scrollbar styling

Instead of modifying scrollbar width globally, use body[os='windows'] selector to apply wider scrollbar (10px) and spacing (2px transparent border) only on Windows platform. This addresses the window resize handle overlap issue specifically on Windows while maintaining the original scrollbar width (5-6px) on other platforms.

Co-authored-by: DeJeune <67425183+DeJeune@users.noreply.github.com>

.github/issue-checker.yml

@@ -1,252 +0,0 @@
-default-mode:
-  add:
-  remove: [pull_request_target, issues]
-
-labels:
-  # <!-- [Ss]kip `LABEL` --> 跳过一个 label
-  # <!-- [Rr]emove `LABEL` --> 去掉一个 label
-
-  # skips and removes
-  - name: skip all
-    content:
-    regexes: '[Ss]kip (?:[Aa]ll |)[Ll]abels?'
-  - name: remove all
-    content:
-    regexes: '[Rr]emove (?:[Aa]ll |)[Ll]abels?'
-
-  - name: skip kind/bug
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
-  - name: remove kind/bug
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
-
-  - name: skip kind/enhancement
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
-  - name: remove kind/enhancement
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
-
-  - name: skip kind/question
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
-  - name: remove kind/question
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
-
-  - name: skip area/Connectivity
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
-  - name: remove area/Connectivity
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
-
-  - name: skip area/UI/UX
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
-  - name: remove area/UI/UX
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
-
-  - name: skip kind/documentation
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
-  - name: remove kind/documentation
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
-
-  - name: skip client:linux
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
-  - name: remove client:linux
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
-
-  - name: skip client:mac
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
-  - name: remove client:mac
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
-
-  - name: skip client:win
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
-  - name: remove client:win
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
-
-  - name: skip sig/Assistant
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
-  - name: remove sig/Assistant
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
-
-  - name: skip sig/Data
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
-  - name: remove sig/Data
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
-
-  - name: skip sig/MCP
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
-  - name: remove sig/MCP
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
-
-  - name: skip sig/RAG
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
-  - name: remove sig/RAG
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
-
-  - name: skip lgtm
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
-  - name: remove lgtm
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
-
-  - name: skip License
-    content:
-    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)License(?:`|)'
-  - name: remove License
-    content:
-    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)License(?:`|)'
-
-  # `Dev Team`
-  - name: Dev Team
-    mode:
-      add: [pull_request_target, issues]
-    author_association:
-      - COLLABORATOR
-
-  # Area labels
-  - name: area/Connectivity
-    content: area/Connectivity
-    regexes: '代理|[Pp]roxy'
-    skip-if:
-      - skip all
-      - skip area/Connectivity
-    remove-if:
-      - remove all
-      - remove area/Connectivity
-
-  - name: area/UI/UX
-    content: area/UI/UX
-    regexes: '界面|[Uu][Ii]|重叠|按钮|图标|组件|渲染|菜单|栏目|头像|主题|样式|[Cc][Ss][Ss]'
-    skip-if:
-      - skip all
-      - skip area/UI/UX
-    remove-if:
-      - remove all
-      - remove area/UI/UX
-
-  # Kind labels
-  - name: kind/documentation
-    content: kind/documentation
-    regexes: '文档|教程|[Dd]oc(s|umentation)|[Rr]eadme'
-    skip-if:
-      - skip all
-      - skip kind/documentation
-    remove-if:
-      - remove all
-      - remove kind/documentation
-
-  # Client labels
-  - name: client:linux
-    content: client:linux
-    regexes: '(?:[Ll]inux|[Uu]buntu|[Dd]ebian)'
-    skip-if:
-      - skip all
-      - skip client:linux
-    remove-if:
-      - remove all
-      - remove client:linux
-
-  - name: client:mac
-    content: client:mac
-    regexes: '(?:[Mm]ac|[Mm]acOS|[Oo]SX)'
-    skip-if:
-      - skip all
-      - skip client:mac
-    remove-if:
-      - remove all
-      - remove client:mac
-
-  - name: client:win
-    content: client:win
-    regexes: '(?:[Ww]in|[Ww]indows)'
-    skip-if:
-      - skip all
-      - skip client:win
-    remove-if:
-      - remove all
-      - remove client:win
-
-  # SIG labels
-  - name: sig/Assistant
-    content: sig/Assistant
-    regexes: '快捷助手|[Aa]ssistant'
-    skip-if:
-      - skip all
-      - skip sig/Assistant
-    remove-if:
-      - remove all
-      - remove sig/Assistant
-
-  - name: sig/Data
-    content: sig/Data
-    regexes: '[Ww]ebdav|坚果云|备份|同步|数据|Obsidian|Notion|Joplin|思源'
-    skip-if:
-      - skip all
-      - skip sig/Data
-    remove-if:
-      - remove all
-      - remove sig/Data
-
-  - name: sig/MCP
-    content: sig/MCP
-    regexes: '[Mm][Cc][Pp]'
-    skip-if:
-      - skip all
-      - skip sig/MCP
-    remove-if:
-      - remove all
-      - remove sig/MCP
-
-  - name: sig/RAG
-    content: sig/RAG
-    regexes: '知识库|[Rr][Aa][Gg]'
-    skip-if:
-      - skip all
-      - skip sig/RAG
-    remove-if:
-      - remove all
-      - remove sig/RAG
-
-  # Other labels
-  - name: lgtm
-    content: lgtm
-    regexes: '(?:[Ll][Gg][Tt][Mm]|[Ll]ooks [Gg]ood [Tt]o [Mm]e)'
-    skip-if:
-      - skip all
-      - skip lgtm
-    remove-if:
-      - remove all
-      - remove lgtm
-
-  - name: License
-    content: License
-    regexes: '(?:[Ll]icense|[Cc]opyright|[Mm][Ii][Tt]|[Aa]pache)'
-    skip-if:
-      - skip all
-      - skip License
-    remove-if:
-      - remove all
-      - remove License

.github/workflows/auto-i18n.yml

@@ -26,7 +26,7 @@ jobs:
           ref: ${{ github.event.pull_request.head.ref }}
 
       - name: 📦 Setting Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 

.github/workflows/claude-code-review.yml

@@ -27,7 +27,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 

.github/workflows/claude-translator.yml

@@ -16,10 +16,13 @@ on:
 jobs:
   translate:
     if: |
-      (github.event_name == 'issues') ||
-      (github.event_name == 'issue_comment' && github.event.sender.type != 'Bot') ||
-      (github.event_name == 'pull_request_review' && github.event.sender.type != 'Bot') ||
-      (github.event_name == 'pull_request_review_comment' && github.event.sender.type != 'Bot')
+      (github.event_name == 'issues')
+      || (github.event_name == 'issue_comment' && github.event.sender.type != 'Bot')
+      || (
+        (github.event_name == 'pull_request_review' || github.event_name == 'pull_request_review_comment')
+        && github.event.sender.type != 'Bot'
+        && github.event.pull_request.head.repo.fork == false
+      )
     runs-on: ubuntu-latest
     permissions:
       contents: read
@@ -29,7 +32,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 
@@ -42,7 +45,7 @@ jobs:
           # See: https://github.com/anthropics/claude-code-action/blob/main/docs/security.md
           github_token: ${{ secrets.TOKEN_GITHUB_WRITE }}
           allowed_non_write_users: "*"
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
+          anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
           claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:repos/*/issues:*),Bash(gh api:repos/*/pulls/*/reviews/*),Bash(gh api:repos/*/pulls/comments/*)"
           prompt: |
             你是一个多语言翻译助手。你需要响应 GitHub Webhooks 中的以下四种事件：
@@ -105,3 +108,5 @@ jobs:
 
             使用以下命令获取完整信息：
             gh issue view ${{ github.event.issue.number }} --json title,body,comments
+        env:
+          ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}

.github/workflows/claude.yml

@@ -37,7 +37,7 @@ jobs:
       actions: read # Required for Claude to read CI results on PRs
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 

.github/workflows/delete-branch.yml

@@ -12,7 +12,8 @@ jobs:
     if: github.event.pull_request.merged == true && github.event.pull_request.head.repo.full_name == github.repository
     steps:
       - name: Delete merged branch
-        uses: actions/github-script@v7
+        uses: actions/github-script@v8
+        continue-on-error: true
         with:
           script: |
             github.rest.git.deleteRef({

.github/workflows/github-issue-tracker.yml

@@ -0,0 +1,178 @@
+name: GitHub Issue Tracker with Feishu Notification
+
+on:
+  issues:
+    types: [opened]
+  schedule:
+    # Run every day at 8:30 Beijing Time (00:30 UTC)
+    - cron: '30 0 * * *'
+  workflow_dispatch:
+
+jobs:
+  process-new-issue:
+    if: github.event_name == 'issues'
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      contents: read
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Check Beijing Time
+        id: check_time
+        run: |
+          # Get current time in Beijing timezone (UTC+8)
+          BEIJING_HOUR=$(TZ='Asia/Shanghai' date +%H)
+          BEIJING_MINUTE=$(TZ='Asia/Shanghai' date +%M)
+
+          echo "Beijing Time: ${BEIJING_HOUR}:${BEIJING_MINUTE}"
+
+          # Check if time is between 00:00 and 08:30
+          if [ $BEIJING_HOUR -lt 8 ] || ([ $BEIJING_HOUR -eq 8 ] && [ $BEIJING_MINUTE -le 30 ]); then
+            echo "should_delay=true" >> $GITHUB_OUTPUT
+            echo "⏰ Issue created during quiet hours (00:00-08:30 Beijing Time)"
+            echo "Will schedule notification for 08:30"
+          else
+            echo "should_delay=false" >> $GITHUB_OUTPUT
+            echo "✅ Issue created during active hours, will notify immediately"
+          fi
+
+      - name: Add pending label if in quiet hours
+        if: steps.check_time.outputs.should_delay == 'true'
+        uses: actions/github-script@v7
+        with:
+          script: |
+            github.rest.issues.addLabels({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              issue_number: context.issue.number,
+              labels: ['pending-feishu-notification']
+            });
+
+      - name: Setup Node.js
+        if: steps.check_time.outputs.should_delay == 'false'
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Summarize issue with Claude
+        if: steps.check_time.outputs.should_delay == 'false'
+        id: summarize
+        uses: anthropics/claude-code-action@main
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
+          prompt: |
+            Please analyze this GitHub issue and provide a concise summary in Chinese (中文).
+
+            Issue #${{ github.event.issue.number }}: ${{ github.event.issue.title }}
+            Author: ${{ github.event.issue.user.login }}
+            URL: ${{ github.event.issue.html_url }}
+
+            Issue Body:
+            ${{ github.event.issue.body }}
+
+            Please provide:
+            1. A brief Chinese summary of the issue (2-3 sentences)
+            2. The main problem or request
+            3. Any important technical details mentioned
+
+            Format your response in clean markdown, suitable for display in a notification card.
+            Keep it concise but informative.
+        env:
+          ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
+
+      - name: Send to Feishu immediately
+        if: steps.check_time.outputs.should_delay == 'false'
+        env:
+          FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
+          FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}
+          ISSUE_URL: ${{ github.event.issue.html_url }}
+          ISSUE_NUMBER: ${{ github.event.issue.number }}
+          ISSUE_TITLE: ${{ github.event.issue.title }}
+          ISSUE_AUTHOR: ${{ github.event.issue.user.login }}
+          ISSUE_LABELS: ${{ join(github.event.issue.labels.*.name, ',') }}
+          ISSUE_SUMMARY: ${{ steps.summarize.outputs.response }}
+        run: |
+          node scripts/feishu-notify.js
+
+  process-pending-issues:
+    if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      contents: read
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Process pending issues with Claude
+        uses: anthropics/claude-code-action@main
+        with:
+          anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
+          allowed_non_write_users: "*"
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          claude_args: "--allowed-tools Bash(gh issue:*),Bash(gh api:*),Bash(node scripts/feishu-notify.js)"
+          prompt: |
+            你是一个GitHub Issue自动化处理助手。请完成以下任务：
+
+            ## 任务说明
+            处理所有待发送飞书通知的GitHub Issues（标记为 `pending-feishu-notification` 的issues）
+
+            ## 步骤
+
+            1. **获取待处理的issues**
+               使用以下命令获取所有带 `pending-feishu-notification` 标签的issues：
+               ```bash
+               gh api repos/${{ github.repository }}/issues?labels=pending-feishu-notification&state=open
+               ```
+
+            2. **总结每个issue**
+               对于每个找到的issue，用中文提供简洁的总结（2-3句话），包括：
+               - 问题的主要内容
+               - 核心诉求
+               - 重要的技术细节
+
+            3. **发送飞书通知**
+               对于每个issue，使用以下命令发送飞书通知：
+               ```bash
+               ISSUE_URL="<issue的html_url>" \
+               ISSUE_NUMBER="<issue编号>" \
+               ISSUE_TITLE="<issue标题>" \
+               ISSUE_AUTHOR="<issue作者>" \
+               ISSUE_LABELS="<逗号分隔的标签列表，排除pending-feishu-notification>" \
+               ISSUE_SUMMARY="<你生成的中文总结>" \
+               node scripts/feishu-notify.js
+               ```
+
+            4. **移除标签**
+               成功发送后，使用以下命令移除 `pending-feishu-notification` 标签：
+               ```bash
+               gh api -X DELETE repos/${{ github.repository }}/issues/<issue编号>/labels/pending-feishu-notification
+               ```
+
+            ## 环境变量
+            - Repository: ${{ github.repository }}
+            - Feishu webhook URL和密钥已在环境变量中配置好
+
+            ## 注意事项
+            - 如果没有待处理的issues，输出提示信息后直接结束
+            - 处理多个issues时，每个issue之间等待2-3秒，避免API限流
+            - 如果某个issue处理失败，继续处理下一个，不要中断整个流程
+            - 所有总结必须使用中文（简体中文）
+
+            请开始执行任务！
+        env:
+          ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
+          FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
+          FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}

.github/workflows/issue-checker.yml

@@ -1,25 +0,0 @@
-name: 'Issue Checker'
-
-on:
-  issues:
-    types: [opened, edited]
-  pull_request_target:
-    types: [opened, edited]
-  issue_comment:
-    types: [created, edited]
-
-permissions:
-  contents: read
-  issues: write
-  pull-requests: write
-
-jobs:
-  triage:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: MaaAssistantArknights/issue-checker@v1.14
-        with:
-          repo-token: '${{ secrets.GITHUB_TOKEN }}'
-          configuration-path: .github/issue-checker.yml
-          not-before: 2022-08-05T00:00:00Z
-          include-title: 1

.github/workflows/nightly-build.yml

@@ -56,7 +56,7 @@ jobs:
           ref: main
 
       - name: Install Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 

.github/workflows/pr-ci.yml

@@ -24,7 +24,7 @@ jobs:
         uses: actions/checkout@v5
 
       - name: Install Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 

.github/workflows/release.yml

@@ -47,7 +47,7 @@ jobs:
           npm version "$VERSION" --no-git-tag-version --allow-same-version
 
       - name: Install Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 

.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch

@@ -1,8 +1,8 @@
 diff --git a/dist/index.mjs b/dist/index.mjs
-index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..17e109b7778cbebb904f1919e768d21a2833d965 100644
+index 69ab1599c76801dc1167551b6fa283dded123466..f0af43bba7ad1196fe05338817e65b4ebda40955 100644
 --- a/dist/index.mjs
 +++ b/dist/index.mjs
-@@ -448,7 +448,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
+@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
  
  // src/get-model-path.ts
  function getModelPath(modelId) {

.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch

@@ -19,7 +19,7 @@ index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b47
 -      const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
 -      const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
 -      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
-+      this.logDebug(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
++      this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
        const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
 -      this.child = spawn(spawnCommand, spawnArgs, {
 +      this.child = fork(pathToClaudeCodeExecutable, args, {

LICENSE

@@ -1,42 +1,661 @@
-**Licensing**
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
 
-This project employs a **User-Segmented Dual Licensing** model.
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
 
-**Core Principle:**
+                            Preamble
 
-* **Individual Users and Organizations with 10 or Fewer Individuals:** Governed by default under the **GNU Affero General Public License v3.0 (AGPLv3)**.  
-* **Organizations with More Than 10 Individuals:** **Must** obtain a **Commercial License**.
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
 
-Definition: "10 or Fewer Individuals"  
-Refers to any organization (including companies, non-profits, government agencies, educational institutions, etc.) where the total number of individuals who can access, use, or in any way directly or indirectly benefit from the functionality of this software (Cherry Studio) does not exceed 10. This includes, but is not limited to, developers, testers, operations staff, end-users, and indirect users via integrated systems.
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+our General Public Licenses are intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.
 
----
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
 
-**1. Open Source License: AGPLv3 - For Individuals and Organizations of 10 or Fewer**
+  Developers that use our General Public Licenses protect your rights
+with two steps: (1) assert copyright on the software, and (2) offer
+you this License which gives you legal permission to copy, distribute
+and/or modify the software.
 
-* If you are an individual user, or if your organization meets the "10 or Fewer Individuals" definition above, you are free to use, modify, and distribute Cherry Studio under the terms of the **AGPLv3**. The full text of the AGPLv3 can be found in the LICENSE file at [https://www.gnu.org/licenses/agpl-3.0.html](https://www.gnu.org/licenses/agpl-3.0.html).  
-* **Core Obligation:** A key requirement of the AGPLv3 is that if you modify Cherry Studio and make it available over a network, or distribute the modified version, you must provide the **complete corresponding source code** under the AGPLv3 license to the recipients. Even if you qualify under the "10 or Fewer Individuals" rule, if you wish to avoid this source code disclosure obligation, you will need to obtain a Commercial License (see below).  
-* Please read and understand the full terms of the AGPLv3 carefully before use.
+  A secondary benefit of defending all users' freedom is that
+improvements made in alternate versions of the program, if they
+receive widespread use, become available for other developers to
+incorporate.  Many developers of free software are heartened and
+encouraged by the resulting cooperation.  However, in the case of
+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
+letting the public access it on a server without ever releasing its
+source code to the public.
 
-**2. Commercial License - For Organizations with More Than 10 Individuals, or Users Needing to Avoid AGPLv3 Obligations**
+  The GNU Affero General Public License is designed specifically to
+ensure that, in such cases, the modified source code becomes available
+to the community.  It requires the operator of a network server to
+provide the source code of the modified version running there to the
+users of that server.  Therefore, public use of a modified version, on
+a publicly accessible server, gives the public access to the source
+code of the modified version.
 
-* **Mandatory Requirement:** If your organization does **not** meet the "10 or Fewer Individuals" definition above (i.e., 11 or more individuals can access, use, or benefit from the software), you **must** contact us to obtain and execute a Commercial License to use Cherry Studio.  
-* **Voluntary Option:** Even if your organization meets the "10 or Fewer Individuals" condition, if your intended use case **cannot comply with the terms of the AGPLv3** (particularly the obligations regarding **source code disclosure**), or if you require specific commercial terms **not offered** by the AGPLv3 (such as warranties, indemnities, or freedom from copyleft restrictions), you also **must** contact us to obtain and execute a Commercial License.  
-* **Common scenarios requiring a Commercial License include (but are not limited to):**  
-  * Your organization has more than 10 individuals who can access, use, or benefit from the software.  
-  * (Regardless of organization size) You wish to distribute a modified version of Cherry Studio but **do not want** to disclose the source code of your modifications under AGPLv3.  
-  * (Regardless of organization size) You wish to provide a network service (SaaS) based on a modified version of Cherry Studio but **do not want** to provide the modified source code to users of the service under AGPLv3.  
-  * (Regardless of organization size) Your corporate policies, client contracts, or project requirements prohibit the use of AGPLv3-licensed software or mandate closed-source distribution and confidentiality.  
-* The Commercial License grants you rights exempting you from AGPLv3 obligations (like source code disclosure) and may include additional commercial assurances.  
-* **Obtaining a Commercial License:** Please contact the Cherry Studio development team via email at **bd@cherry-ai.com** to discuss commercial licensing options.
+  An older license, called the Affero General Public License and
+published by Affero, was designed to accomplish similar goals.  This is
+a different license, not a version of the Affero GPL, but Affero has
+released a new version of the Affero GPL which permits relicensing under
+this license.
 
-**3. Contributions**
+  The precise terms and conditions for copying, distribution and
+modification follow.
 
-* We welcome community contributions to Cherry Studio. All contributions submitted to this project are considered to be offered under the **AGPLv3** license.  
-* By submitting a contribution to this project (e.g., via a Pull Request), you agree to license your code under the AGPLv3 to the project and all its downstream users (regardless of whether those users ultimately operate under AGPLv3 or a Commercial License).  
-* You also understand and agree that your contribution may be included in distributions of Cherry Studio offered under our commercial license.
+                       TERMS AND CONDITIONS
 
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+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software.  This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -141,6 +141,7 @@ We're actively working on the following features and improvements:
 - iOS App (Phase 1)
 - Multi-Window support
 - Window Pinning functionality
+- Intel AI PC (Core Ultra) Support
 
 4. 🔌 **Advanced Features**
 
@@ -286,6 +287,14 @@ We believe the Enterprise Edition will become your team's AI productivity engine
  </picture>
 </a>
 
+# 📜 License
+
+The Cherry Studio Community Edition is governed by the standard GNU Affero General Public License v3.0 (AGPL-3.0), available at https://www.gnu.org/licenses/agpl-3.0.html.
+
+Use of the Cherry Studio Community Edition for commercial purposes is permitted, subject to full compliance with the terms and conditions of the AGPL-3.0 license.
+
+Should you require a commercial license that provides an exemption from the AGPL-3.0 requirements, please contact us at bd@cherry-ai.com.
+
 <!-- Links & Images -->
 
 [deepwiki-shield]: https://img.shields.io/badge/Deepwiki-CherryHQ-0088CC?logo=data:image/svg+xml;base64,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

electron-builder.yml

@@ -9,6 +9,7 @@ electronLanguages:
   - zh_CN # for macOS
   - zh_TW # for macOS
   - en # for macOS
+  - de
 directories:
   buildResources: build
 
@@ -125,7 +126,61 @@ afterSign: scripts/notarize.js
 artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
-    Optimized note-taking feature, now able to quickly rename by modifying the title
-    Fixed issue where CherryAI free model could not be used
-    Fixed issue where VertexAI proxy address could not be called normally
-    Fixed issue where built-in tools from service providers could not be called normally
+    <!--LANG:en-->
+    What's New in v1.7.0-beta.2
+
+    New Features:
+    - Session Settings: Manage session-specific settings and model configurations independently
+    - Notes Full-Text Search: Search across all notes with match highlighting
+    - Built-in DiDi MCP Server: Integration with DiDi ride-hailing services (China only)
+    - Intel OV OCR: Hardware-accelerated OCR using Intel NPU
+    - Auto-start API Server: Automatically starts when agents exist
+
+    Improvements:
+    - Agent model selection now requires explicit user choice
+    - Added Mistral AI provider support
+    - Added NewAPI generic provider support
+    - Improved navbar layout consistency across different modes
+    - Enhanced chat component responsiveness
+    - Better code block display on small screens
+    - Updated OVMS to 2025.3 official release
+    - Added Greek language support
+
+    Bug Fixes:
+    - Fixed GitHub Copilot gpt-5-codex streaming issues
+    - Fixed assistant creation failures
+    - Fixed translate auto-copy functionality
+    - Fixed miniapps external link opening
+    - Fixed message layout and overflow issues
+    - Fixed API key parsing to preserve spaces
+    - Fixed agent display in different navbar layouts
+
+    <!--LANG:zh-CN-->
+    v1.7.0-beta.2 新特性
+
+    新功能:
+    - 会话设置：独立管理会话特定的设置和模型配置
+    - 笔记全文搜索：跨所有笔记搜索并高亮匹配内容
+    - 内置滴滴 MCP 服务器：集成滴滴打车服务(仅限中国地区)
+    - Intel OV OCR：使用 Intel NPU 的硬件加速 OCR
+    - 自动启动 API 服务器：当存在 Agent 时自动启动
+
+    改进:
+    - Agent 模型选择现在需要用户显式选择
+    - 添加 Mistral AI 提供商支持
+    - 添加 NewAPI 通用提供商支持
+    - 改进不同模式下的导航栏布局一致性
+    - 增强聊天组件响应式设计
+    - 优化小屏幕代码块显示
+    - 更新 OVMS 至 2025.3 正式版
+    - 添加希腊语支持
+
+    问题修复:
+    - 修复 GitHub Copilot gpt-5-codex 流式传输问题
+    - 修复助手创建失败
+    - 修复翻译自动复制功能
+    - 修复小程序外部链接打开
+    - 修复消息布局和溢出问题
+    - 修复 API 密钥解析以保留空格
+    - 修复不同导航栏布局中的 Agent 显示
+    <!--LANG:END-->

eslint.config.mjs

@@ -2,6 +2,7 @@ import tseslint from '@electron-toolkit/eslint-config-ts'
 import eslint from '@eslint/js'
 import eslintReact from '@eslint-react/eslint-plugin'
 import { defineConfig } from 'eslint/config'
+import importZod from 'eslint-plugin-import-zod'
 import oxlint from 'eslint-plugin-oxlint'
 import reactHooks from 'eslint-plugin-react-hooks'
 import simpleImportSort from 'eslint-plugin-simple-import-sort'
@@ -15,7 +16,8 @@ export default defineConfig([
   {
     plugins: {
       'simple-import-sort': simpleImportSort,
-      'unused-imports': unusedImports
+      'unused-imports': unusedImports,
+      'import-zod': importZod
     },
     rules: {
       '@typescript-eslint/explicit-function-return-type': 'off',
@@ -25,6 +27,7 @@ export default defineConfig([
       'simple-import-sort/exports': 'error',
       'unused-imports/no-unused-imports': 'error',
       '@eslint-react/no-prop-types': 'error',
+      'import-zod/prefer-zod-namespace': 'error'
     }
   },
   // Configuration for ensuring compatibility with the original ESLint(8.x) rules

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.7.0-alpha.4",
+  "version": "1.7.0-beta.2",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -83,6 +83,7 @@
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
     "@strongtz/win32-arm64-msvc": "^0.4.7",
+    "express": "^5.1.0",
     "font-list": "^2.0.0",
     "graceful-fs": "^4.2.11",
     "jsdom": "26.1.0",
@@ -92,6 +93,7 @@
     "selection-hook": "^1.0.12",
     "sharp": "^0.34.3",
     "swagger-jsdoc": "^6.2.8",
+    "swagger-ui-express": "^5.0.1",
     "tesseract.js": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
     "turndown": "7.2.0"
   },
@@ -99,10 +101,10 @@
     "@agentic/exa": "^7.3.3",
     "@agentic/searxng": "^7.3.3",
     "@agentic/tavily": "^7.3.3",
-    "@ai-sdk/amazon-bedrock": "^3.0.21",
-    "@ai-sdk/google-vertex": "^3.0.27",
-    "@ai-sdk/mistral": "^2.0.14",
-    "@ai-sdk/perplexity": "^2.0.9",
+    "@ai-sdk/amazon-bedrock": "^3.0.35",
+    "@ai-sdk/google-vertex": "^3.0.40",
+    "@ai-sdk/mistral": "^2.0.19",
+    "@ai-sdk/perplexity": "^2.0.13",
     "@ant-design/v5-patch-for-react-19": "^1.0.3",
     "@anthropic-ai/sdk": "^0.41.0",
     "@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
@@ -124,6 +126,7 @@
     "@cherrystudio/embedjs-ollama": "^0.1.31",
     "@cherrystudio/embedjs-openai": "^0.1.31",
     "@cherrystudio/extension-table-plus": "workspace:^",
+    "@cherrystudio/openai": "^6.5.0",
     "@dnd-kit/core": "^6.3.1",
     "@dnd-kit/modifiers": "^9.0.0",
     "@dnd-kit/sortable": "^10.0.0",
@@ -152,6 +155,7 @@
     "@opentelemetry/sdk-trace-base": "^2.0.0",
     "@opentelemetry/sdk-trace-node": "^2.0.0",
     "@opentelemetry/sdk-trace-web": "^2.0.0",
+    "@opeoginni/github-copilot-openai-compatible": "0.1.19",
     "@playwright/test": "^1.52.0",
     "@radix-ui/react-context-menu": "^2.2.16",
     "@reduxjs/toolkit": "^2.2.5",
@@ -219,7 +223,7 @@
     "@viz-js/lang-dot": "^1.0.5",
     "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.44",
+    "ai": "^5.0.68",
     "antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
     "archiver": "^7.0.1",
     "async-mutex": "^0.5.0",
@@ -244,23 +248,23 @@
     "dotenv-cli": "^7.4.2",
     "drizzle-kit": "^0.31.4",
     "drizzle-orm": "^0.44.5",
-    "electron": "37.4.0",
+    "electron": "38.4.0",
     "electron-builder": "26.0.15",
     "electron-devtools-installer": "^3.2.0",
     "electron-reload": "^2.0.0-alpha.1",
     "electron-store": "^8.2.0",
     "electron-updater": "6.6.4",
-    "electron-vite": "4.0.0",
+    "electron-vite": "4.0.1",
     "electron-window-state": "^5.0.3",
     "emittery": "^1.0.3",
     "emoji-picker-element": "^1.22.1",
     "epub": "patch:epub@npm%3A1.3.0#~/.yarn/patches/epub-npm-1.3.0-8325494ffe.patch",
     "eslint": "^9.22.0",
+    "eslint-plugin-import-zod": "^1.2.0",
     "eslint-plugin-oxlint": "^1.15.0",
     "eslint-plugin-react-hooks": "^5.2.0",
     "eslint-plugin-simple-import-sort": "^12.1.1",
     "eslint-plugin-unused-imports": "^4.1.4",
-    "express": "^5.1.0",
     "express-validator": "^7.2.1",
     "fast-diff": "^1.3.0",
     "fast-xml-parser": "^5.2.0",
@@ -277,6 +281,7 @@
     "husky": "^9.1.7",
     "i18next": "^23.11.5",
     "iconv-lite": "^0.6.3",
+    "ipaddr.js": "^2.2.0",
     "isbinaryfile": "5.0.4",
     "jaison": "^2.0.2",
     "jest-styled-components": "^7.2.0",
@@ -293,16 +298,15 @@
     "motion": "^12.10.5",
     "notion-helper": "^1.3.22",
     "npx-scope-finder": "^1.2.0",
-    "openai": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
-    "oxlint": "^1.15.0",
+    "oxlint": "^1.22.0",
     "oxlint-tsgolint": "^0.2.0",
     "p-queue": "^8.1.0",
     "pdf-lib": "^1.17.1",
     "pdf-parse": "^1.1.1",
-    "playwright": "^1.52.0",
+    "playwright": "^1.55.1",
     "proxy-agent": "^6.5.0",
-    "react": "^19.0.0",
-    "react-dom": "^19.0.0",
+    "react": "^19.2.0",
+    "react-dom": "^19.2.0",
     "react-error-boundary": "^6.0.0",
     "react-hotkeys-hook": "^4.6.1",
     "react-i18next": "^14.1.2",
@@ -334,7 +338,6 @@
     "string-width": "^7.2.0",
     "striptags": "^3.2.0",
     "styled-components": "^6.1.11",
-    "swagger-ui-express": "^5.0.1",
     "swr": "^2.3.6",
     "tailwindcss": "^4.1.13",
     "tar": "^7.4.3",
@@ -347,7 +350,7 @@
     "undici": "6.21.2",
     "unified": "^11.0.5",
     "uuid": "^13.0.0",
-    "vite": "npm:rolldown-vite@latest",
+    "vite": "npm:rolldown-vite@7.1.5",
     "vitest": "^3.2.4",
     "webdav": "^5.8.0",
     "winston": "^3.17.0",
@@ -370,17 +373,25 @@
     "app-builder-lib@npm:26.0.13": "patch:app-builder-lib@npm%3A26.0.13#~/.yarn/patches/app-builder-lib-npm-26.0.13-a064c9e1d0.patch",
     "app-builder-lib@npm:26.0.15": "patch:app-builder-lib@npm%3A26.0.15#~/.yarn/patches/app-builder-lib-npm-26.0.15-360e5b0476.patch",
     "atomically@npm:^1.7.0": "patch:atomically@npm%3A1.7.0#~/.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch",
+    "esbuild": "^0.25.0",
     "file-stream-rotator@npm:^0.6.1": "patch:file-stream-rotator@npm%3A0.6.1#~/.yarn/patches/file-stream-rotator-npm-0.6.1-eab45fb13d.patch",
     "libsql@npm:^0.4.4": "patch:libsql@npm%3A0.4.7#~/.yarn/patches/libsql-npm-0.4.7-444e260fb1.patch",
     "node-abi": "4.12.0",
-    "openai@npm:^4.77.0": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
-    "openai@npm:^4.87.3": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
+    "openai@npm:^4.77.0": "npm:@cherrystudio/openai@6.5.0",
+    "openai@npm:^4.87.3": "npm:@cherrystudio/openai@6.5.0",
     "pdf-parse@npm:1.1.1": "patch:pdf-parse@npm%3A1.1.1#~/.yarn/patches/pdf-parse-npm-1.1.1-04a6109b2a.patch",
     "pkce-challenge@npm:^4.1.0": "patch:pkce-challenge@npm%3A4.1.0#~/.yarn/patches/pkce-challenge-npm-4.1.0-fbc51695a3.patch",
+    "tar-fs": "^2.1.4",
     "undici": "6.21.2",
-    "vite": "npm:rolldown-vite@latest",
+    "vite": "npm:rolldown-vite@7.1.5",
     "tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
-    "@ai-sdk/google@npm:2.0.14": "patch:@ai-sdk/google@npm%3A2.0.14#~/.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch"
+    "@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch",
+    "@img/sharp-darwin-arm64": "0.34.3",
+    "@img/sharp-darwin-x64": "0.34.3",
+    "@img/sharp-linux-arm": "0.34.3",
+    "@img/sharp-linux-arm64": "0.34.3",
+    "@img/sharp-linux-x64": "0.34.3",
+    "@img/sharp-win32-x64": "0.34.3"
   },
   "packageManager": "yarn@4.9.1",
   "lint-staged": {

packages/aiCore/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@cherrystudio/ai-core",
-  "version": "1.0.0-alpha.18",
+  "version": "1.0.1",
   "description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
   "main": "dist/index.js",
   "module": "dist/index.mjs",
@@ -36,14 +36,14 @@
     "ai": "^5.0.26"
   },
   "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.17",
-    "@ai-sdk/azure": "^2.0.30",
-    "@ai-sdk/deepseek": "^1.0.17",
-    "@ai-sdk/openai": "^2.0.30",
-    "@ai-sdk/openai-compatible": "^1.0.17",
+    "@ai-sdk/anthropic": "^2.0.27",
+    "@ai-sdk/azure": "^2.0.49",
+    "@ai-sdk/deepseek": "^1.0.23",
+    "@ai-sdk/openai": "^2.0.48",
+    "@ai-sdk/openai-compatible": "^1.0.22",
     "@ai-sdk/provider": "^2.0.0",
-    "@ai-sdk/provider-utils": "^3.0.9",
-    "@ai-sdk/xai": "^2.0.18",
+    "@ai-sdk/provider-utils": "^3.0.12",
+    "@ai-sdk/xai": "^2.0.26",
     "zod": "^4.1.5"
   },
   "devDependencies": {

packages/aiCore/src/core/plugins/built-in/webSearchPlugin/helper.ts

@@ -1,7 +1,7 @@
 import { anthropic } from '@ai-sdk/anthropic'
 import { google } from '@ai-sdk/google'
 import { openai } from '@ai-sdk/openai'
-import { InferToolInput, InferToolOutput } from 'ai'
+import { InferToolInput, InferToolOutput, type Tool } from 'ai'
 
 import { ProviderOptionsMap } from '../../../options/types'
 import { OpenRouterSearchConfig } from './openrouter'
@@ -15,6 +15,13 @@ export type AnthropicSearchConfig = NonNullable<Parameters<typeof anthropic.tool
 export type GoogleSearchConfig = NonNullable<Parameters<typeof google.tools.googleSearch>[0]>
 export type XAISearchConfig = NonNullable<ProviderOptionsMap['xai']['searchParameters']>
 
+type NormalizeTool<T> = T extends Tool<infer INPUT, infer OUTPUT> ? Tool<INPUT, OUTPUT> : Tool<any, any>
+
+type AnthropicWebSearchTool = NormalizeTool<ReturnType<typeof anthropic.tools.webSearch_20250305>>
+type OpenAIWebSearchTool = NormalizeTool<ReturnType<typeof openai.tools.webSearch>>
+type OpenAIChatWebSearchTool = NormalizeTool<ReturnType<typeof openai.tools.webSearchPreview>>
+type GoogleWebSearchTool = NormalizeTool<ReturnType<typeof google.tools.googleSearch>>
+
 /**
  * 插件初始化时接收的完整配置对象
  *
@@ -59,7 +66,7 @@ export const DEFAULT_WEB_SEARCH_CONFIG: WebSearchPluginConfig = {
 
 export type WebSearchToolOutputSchema = {
   // Anthropic 工具 - 手动定义
-  anthropic: InferToolOutput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
+  anthropic: InferToolOutput<AnthropicWebSearchTool>
 
   // OpenAI 工具 - 基于实际输出
   // TODO: 上游定义不规范,是unknown
@@ -82,8 +89,8 @@ export type WebSearchToolOutputSchema = {
 }
 
 export type WebSearchToolInputSchema = {
-  anthropic: InferToolInput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
-  openai: InferToolInput<ReturnType<typeof openai.tools.webSearch>>
-  google: InferToolInput<ReturnType<typeof google.tools.googleSearch>>
-  'openai-chat': InferToolInput<ReturnType<typeof openai.tools.webSearchPreview>>
+  anthropic: InferToolInput<AnthropicWebSearchTool>
+  openai: InferToolInput<OpenAIWebSearchTool>
+  google: InferToolInput<GoogleWebSearchTool>
+  'openai-chat': InferToolInput<OpenAIChatWebSearchTool>
 }

packages/aiCore/src/core/providers/schemas.ts

@@ -13,7 +13,7 @@ import { LanguageModelV2 } from '@ai-sdk/provider'
 import { createXai } from '@ai-sdk/xai'
 import { createOpenRouter } from '@openrouter/ai-sdk-provider'
 import { customProvider, Provider } from 'ai'
-import { z } from 'zod'
+import * as z from 'zod'
 
 /**
  * 基础 Provider IDs

packages/shared/IpcChannel.ts

@@ -5,8 +5,8 @@ export enum IpcChannel {
   App_SetLanguage = 'app:set-language',
   App_SetEnableSpellCheck = 'app:set-enable-spell-check',
   App_SetSpellCheckLanguages = 'app:set-spell-check-languages',
-  App_ShowUpdateDialog = 'app:show-update-dialog',
   App_CheckForUpdate = 'app:check-for-update',
+  App_QuitAndInstall = 'app:quit-and-install',
   App_Reload = 'app:reload',
   App_Quit = 'app:quit',
   App_Info = 'app:info',
@@ -53,6 +53,7 @@ export enum IpcChannel {
 
   Webview_SetOpenLinkExternal = 'webview:set-open-link-external',
   Webview_SetSpellCheckEnabled = 'webview:set-spell-check-enabled',
+  Webview_SearchHotkey = 'webview:search-hotkey',
 
   // Open
   Open_Path = 'open:path',
@@ -234,7 +235,6 @@ export enum IpcChannel {
   // events
   BackupProgress = 'backup-progress',
   ThemeUpdated = 'theme:updated',
-  UpdateDownloadedCancelled = 'update-downloaded-cancelled',
   RestoreProgress = 'restore-progress',
   UpdateError = 'update-error',
   UpdateAvailable = 'update-available',
@@ -317,6 +317,7 @@ export enum IpcChannel {
   ApiServer_Stop = 'api-server:stop',
   ApiServer_Restart = 'api-server:restart',
   ApiServer_GetStatus = 'api-server:get-status',
+  // NOTE: This api is not be used.
   ApiServer_GetConfig = 'api-server:get-config',
 
   // Anthropic OAuth
@@ -336,6 +337,7 @@ export enum IpcChannel {
 
   // OCR
   OCR_ocr = 'ocr:ocr',
+  OCR_ListProviders = 'ocr:list-providers',
 
   // OVMS
   Ovms_AddModel = 'ovms:add-model',

packages/shared/anthropic/index.ts

@@ -12,8 +12,19 @@ import Anthropic from '@anthropic-ai/sdk'
 import { TextBlockParam } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
 import { Provider } from '@types'
+import type { ModelMessage } from 'ai'
+
 const logger = loggerService.withContext('anthropic-sdk')
 
+const defaultClaudeCodeSystemPrompt = `You are Claude Code, Anthropic's official CLI for Claude.`
+
+const defaultClaudeCodeSystem: Array<TextBlockParam> = [
+  {
+    type: 'text',
+    text: defaultClaudeCodeSystemPrompt
+  }
+]
+
 /**
  * Creates and configures an Anthropic SDK client based on the provider configuration.
  *
@@ -44,7 +55,11 @@ const logger = loggerService.withContext('anthropic-sdk')
  * const apiKeyClient = getSdkClient(apiKeyProvider);
  * ```
  */
-export function getSdkClient(provider: Provider, oauthToken?: string | null): Anthropic {
+export function getSdkClient(
+  provider: Provider,
+  oauthToken?: string | null,
+  extraHeaders?: Record<string, string | string[]>
+): Anthropic {
   if (provider.authType === 'oauth') {
     if (!oauthToken) {
       throw new Error('OAuth token is not available')
@@ -68,7 +83,8 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
         'x-stainless-os': 'MacOS',
         'x-stainless-arch': 'arm64',
         'x-stainless-runtime': 'node',
-        'x-stainless-runtime-version': 'v22.18.0'
+        'x-stainless-runtime-version': 'v22.18.0',
+        ...extraHeaders
       }
     })
   }
@@ -87,7 +103,8 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
       defaultHeaders: {
         'anthropic-beta': 'output-128k-2025-02-19',
         'APP-Code': 'MLTG2087',
-        ...provider.extra_headers
+        ...provider.extra_headers,
+        ...extraHeaders
       }
     })
   }
@@ -118,53 +135,36 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
  * @param system - Optional user-provided system message (string or TextBlockParam array)
  * @returns Combined system message with Claude Code prompt prepended
  *
- * @example
- * ```typescript
- * // No system message
- * const result1 = buildClaudeCodeSystemMessage();
- * // Returns: "You are Claude Code, Anthropic's official CLI for Claude."
- *
- * // String system message
- * const result2 = buildClaudeCodeSystemMessage("You are a helpful assistant.");
- * // Returns: [
- * //   { type: 'text', text: "You are Claude Code, Anthropic's official CLI for Claude." },
- * //   { type: 'text', text: "You are a helpful assistant." }
- * // ]
- *
- * // Array system message
- * const systemArray = [{ type: 'text', text: 'Custom instructions' }];
- * const result3 = buildClaudeCodeSystemMessage(systemArray);
- * // Returns: Array with Claude Code message prepended
  * ```
  */
-export function buildClaudeCodeSystemMessage(system?: string | Array<TextBlockParam>): string | Array<TextBlockParam> {
-  const defaultClaudeCodeSystem = `You are Claude Code, Anthropic's official CLI for Claude.`
+export function buildClaudeCodeSystemMessage(system?: string | Array<TextBlockParam>): Array<TextBlockParam> {
   if (!system) {
     return defaultClaudeCodeSystem
   }
 
   if (typeof system === 'string') {
-    if (system.trim() === defaultClaudeCodeSystem) {
+    if (system.trim() === defaultClaudeCodeSystemPrompt || system.trim() === '') {
+      return defaultClaudeCodeSystem
+    } else {
+      return [...defaultClaudeCodeSystem, { type: 'text', text: system }]
+    }
+  }
+  if (Array.isArray(system)) {
+    const firstSystem = system[0]
+    if (firstSystem.type === 'text' && firstSystem.text.trim() === defaultClaudeCodeSystemPrompt) {
       return system
+    } else {
+      return [...defaultClaudeCodeSystem, ...system]
     }
-    return [
-      {
-        type: 'text',
-        text: defaultClaudeCodeSystem
-      },
-      {
-        type: 'text',
-        text: system
-      }
-    ]
   }
 
-  if (system[0].text.trim() != defaultClaudeCodeSystem) {
-    system.unshift({
-      type: 'text',
-      text: defaultClaudeCodeSystem
-    })
+  return defaultClaudeCodeSystem
 }
 
-  return system
+export function buildClaudeCodeSystemModelMessage(system?: string | Array<TextBlockParam>): Array<ModelMessage> {
+  const textBlocks = buildClaudeCodeSystemMessage(system)
+  return textBlocks.map((block) => ({
+    role: 'system',
+    content: block.text
+  }))
 }

packages/shared/config/constant.ts

@@ -217,7 +217,8 @@ export enum codeTools {
   claudeCode = 'claude-code',
   geminiCli = 'gemini-cli',
   openaiCodex = 'openai-codex',
-  iFlowCli = 'iflow-cli'
+  iFlowCli = 'iflow-cli',
+  githubCopilotCli = 'github-copilot-cli'
 }
 
 export enum terminalApps {

packages/shared/config/types.ts

@@ -22,3 +22,12 @@ export type MCPProgressEvent = {
   callId: string
   progress: number // 0-1 range
 }
+
+export type WebviewKeyEvent = {
+  webviewId: number
+  key: string
+  control: boolean
+  meta: boolean
+  shift: boolean
+  alt: boolean
+}

resources/scripts/install-ovms.js

@@ -5,105 +5,171 @@ const { execSync } = require('child_process')
 const { downloadWithPowerShell } = require('./download')
 
 // Base URL for downloading OVMS binaries
-const OVMS_PKG_NAME = 'ovms250911.zip'
-const OVMS_RELEASE_BASE_URL = [`https://gitcode.com/gcw_ggDjjkY3/kjfile/releases/download/download/${OVMS_PKG_NAME}`]
+const OVMS_RELEASE_BASE_URL =
+  'https://storage.openvinotoolkit.org/repositories/openvino_model_server/packages/2025.3.0/ovms_windows_python_on.zip'
+const OVMS_EX_URL = 'https://gitcode.com/gcw_ggDjjkY3/kjfile/releases/download/download/ovms_25.3_ex.zip'
 
 /**
- * Downloads and extracts the OVMS binary for the specified platform
+ * error code:
+ * 101: Unsupported CPU (not Intel Ultra)
+ * 102: Unsupported platform (not Windows)
+ * 103: Download failed
+ * 104: Installation failed
+ * 105: Failed to create ovdnd.exe
+ * 106: Failed to create run.bat
+ * 110: Cleanup of old installation failed
  */
-async function downloadOvmsBinary() {
-  // Create output directory structure - OVMS goes into its own subdirectory
+
+/**
+ * Clean old OVMS installation if it exists
+ */
+function cleanOldOvmsInstallation() {
+  console.log('Cleaning the existing OVMS installation...')
   const csDir = path.join(os.homedir(), '.cherrystudio')
-
-  // Ensure directories exist
-  fs.mkdirSync(csDir, { recursive: true })
-
   const csOvmsDir = path.join(csDir, 'ovms')
-  // Delete existing OVMS directory if it exists
   if (fs.existsSync(csOvmsDir)) {
+    try {
       fs.rmSync(csOvmsDir, { recursive: true })
+    } catch (error) {
+      console.warn(`Failed to clean up old OVMS installation: ${error.message}`)
+      return 110
+    }
   }
 
+  return 0
+}
+
+/**
+ * Install OVMS Base package
+ */
+async function installOvmsBase() {
+  // Download the base package
   const tempdir = os.tmpdir()
   const tempFilename = path.join(tempdir, 'ovms.zip')
 
-  // Try each URL until one succeeds
-  let downloadSuccess = false
-  let lastError = null
-
-  for (let i = 0; i < OVMS_RELEASE_BASE_URL.length; i++) {
-    const downloadUrl = OVMS_RELEASE_BASE_URL[i]
-    console.log(`Attempting download from URL ${i + 1}/${OVMS_RELEASE_BASE_URL.length}: ${downloadUrl}`)
-
   try {
-      console.log(`Downloading OVMS from ${downloadUrl} to ${tempFilename}...`)
+    console.log(`Downloading OVMS Base Package from ${OVMS_RELEASE_BASE_URL} to ${tempFilename}...`)
 
     // Try PowerShell download first, fallback to Node.js download if it fails
-      await downloadWithPowerShell(downloadUrl, tempFilename)
-
-      // If we get here, download was successful
-      downloadSuccess = true
-      console.log(`Successfully downloaded from: ${downloadUrl}`)
-      break
+    await downloadWithPowerShell(OVMS_RELEASE_BASE_URL, tempFilename)
+    console.log(`Successfully downloaded from: ${OVMS_RELEASE_BASE_URL}`)
   } catch (error) {
-      console.warn(`Download failed from ${downloadUrl}: ${error.message}`)
-      lastError = error
-
-      // Clean up failed download file if it exists
-      if (fs.existsSync(tempFilename)) {
-        try {
+    console.error(`Download OVMS Base failed: ${error.message}`)
     fs.unlinkSync(tempFilename)
-        } catch (cleanupError) {
-          console.warn(`Failed to clean up temporary file: ${cleanupError.message}`)
-        }
-      }
-
-      // Continue to next URL if this one failed
-      if (i < OVMS_RELEASE_BASE_URL.length - 1) {
-        console.log(`Trying next URL...`)
-      }
-    }
-  }
-
-  // Check if any download succeeded
-  if (!downloadSuccess) {
-    console.error(`All download URLs failed. Last error: ${lastError?.message || 'Unknown error'}`)
     return 103
   }
 
-  try {
-    console.log(`Extracting to ${csDir}...`)
+  // unzip the base package to the target directory
+  const csDir = path.join(os.homedir(), '.cherrystudio')
+  const csOvmsDir = path.join(csDir, 'ovms')
+  fs.mkdirSync(csOvmsDir, { recursive: true })
 
+  try {
     // Use tar.exe to extract the ZIP file
-    console.log(`Extracting OVMS to ${csDir}...`)
-    execSync(`tar -xf ${tempFilename} -C ${csDir}`, { stdio: 'inherit' })
-    console.log(`OVMS extracted to ${csDir}`)
+    console.log(`Extracting OVMS Base to ${csOvmsDir}...`)
+    execSync(`tar -xf ${tempFilename} -C ${csOvmsDir}`, { stdio: 'inherit' })
+    console.log(`OVMS extracted to ${csOvmsDir}`)
 
     // Clean up temporary file
     fs.unlinkSync(tempFilename)
     console.log(`Installation directory: ${csDir}`)
   } catch (error) {
     console.error(`Error installing OVMS: ${error.message}`)
-    if (fs.existsSync(tempFilename)) {
     fs.unlinkSync(tempFilename)
+    return 104
   }
 
-    // Check if ovmsDir is empty and remove it if so
+  const csOvmsBinDir = path.join(csOvmsDir, 'ovms')
+  // copy ovms.exe to ovdnd.exe
   try {
-      const ovmsDir = path.join(csDir, 'ovms')
-      const files = fs.readdirSync(ovmsDir)
-      if (files.length === 0) {
-        fs.rmSync(ovmsDir, { recursive: true })
-        console.log(`Removed empty directory: ${ovmsDir}`)
-      }
-    } catch (cleanupError) {
-      console.warn(`Warning: Failed to clean up directory: ${cleanupError.message}`)
+    fs.copyFileSync(path.join(csOvmsBinDir, 'ovms.exe'), path.join(csOvmsBinDir, 'ovdnd.exe'))
+    console.log('Copied ovms.exe to ovdnd.exe')
+  } catch (error) {
+    console.error(`Error copying ovms.exe to ovdnd.exe: ${error.message}`)
     return 105
   }
 
+  // copy {csOvmsBinDir}/setupvars.bat to {csOvmsBinDir}/run.bat, and append the following lines to run.bat:
+  // del %USERPROFILE%\.cherrystudio\ovms_log.log
+  // ovms.exe --config_path models/config.json --rest_port 8000 --log_level DEBUG --log_path %USERPROFILE%\.cherrystudio\ovms_log.log
+  const runBatPath = path.join(csOvmsBinDir, 'run.bat')
+  try {
+    fs.copyFileSync(path.join(csOvmsBinDir, 'setupvars.bat'), runBatPath)
+    fs.appendFileSync(runBatPath, '\r\n')
+    fs.appendFileSync(runBatPath, 'del %USERPROFILE%\\.cherrystudio\\ovms_log.log\r\n')
+    fs.appendFileSync(
+      runBatPath,
+      'ovms.exe --config_path models/config.json --rest_port 8000 --log_level DEBUG --log_path %USERPROFILE%\\.cherrystudio\\ovms_log.log\r\n'
+    )
+    console.log(`Created run.bat at: ${runBatPath}`)
+  } catch (error) {
+    console.error(`Error creating run.bat: ${error.message}`)
+    return 106
+  }
+
+  // create {csOvmsBinDir}/models/config.json with content '{"model_config_list": []}'
+  const configJsonPath = path.join(csOvmsBinDir, 'models', 'config.json')
+  fs.mkdirSync(path.dirname(configJsonPath), { recursive: true })
+  fs.writeFileSync(configJsonPath, '{"mediapipe_config_list":[],"model_config_list":[]}')
+  console.log(`Created config file: ${configJsonPath}`)
+
+  return 0
+}
+
+/**
+ * Install OVMS Extra package
+ */
+async function installOvmsExtra() {
+  // Download the extra package
+  const tempdir = os.tmpdir()
+  const tempFilename = path.join(tempdir, 'ovms_ex.zip')
+
+  try {
+    console.log(`Downloading OVMS Extra Package from ${OVMS_EX_URL} to ${tempFilename}...`)
+
+    // Try PowerShell download first, fallback to Node.js download if it fails
+    await downloadWithPowerShell(OVMS_EX_URL, tempFilename)
+    console.log(`Successfully downloaded from: ${OVMS_EX_URL}`)
+  } catch (error) {
+    console.error(`Download OVMS Extra failed: ${error.message}`)
+    fs.unlinkSync(tempFilename)
+    return 103
+  }
+
+  // unzip the extra package to the target directory
+  const csDir = path.join(os.homedir(), '.cherrystudio')
+  const csOvmsDir = path.join(csDir, 'ovms')
+
+  try {
+    // Use tar.exe to extract the ZIP file
+    console.log(`Extracting OVMS Extra to ${csOvmsDir}...`)
+    execSync(`tar -xf ${tempFilename} -C ${csOvmsDir}`, { stdio: 'inherit' })
+    console.log(`OVMS extracted to ${csOvmsDir}`)
+
+    // Clean up temporary file
+    fs.unlinkSync(tempFilename)
+    console.log(`Installation directory: ${csDir}`)
+  } catch (error) {
+    console.error(`Error installing OVMS Extra: ${error.message}`)
+    fs.unlinkSync(tempFilename)
     return 104
   }
 
+  // apply ovms patch, copy all files in {csOvmsDir}/patch/ovms to {csOvmsDir}/ovms with overwrite mode
+  const patchDir = path.join(csOvmsDir, 'patch', 'ovms')
+  const csOvmsBinDir = path.join(csOvmsDir, 'ovms')
+  try {
+    const files = fs.readdirSync(patchDir)
+    files.forEach((file) => {
+      const srcPath = path.join(patchDir, file)
+      const destPath = path.join(csOvmsBinDir, file)
+      fs.copyFileSync(srcPath, destPath)
+      console.log(`Applied patch file: ${file}`)
+    })
+  } catch (error) {
+    console.error(`Error applying OVMS patch: ${error.message}`)
+  }
+
   return 0
 }
 
@@ -158,7 +224,27 @@ async function installOvms() {
     return 102
   }
 
-  return await downloadOvmsBinary()
+  // Clean old installation if it exists
+  const cleanupCode = cleanOldOvmsInstallation()
+  if (cleanupCode !== 0) {
+    console.error(`OVMS cleanup failed with code: ${cleanupCode}`)
+    return cleanupCode
+  }
+
+  const installBaseCode = await installOvmsBase()
+  if (installBaseCode !== 0) {
+    console.error(`OVMS Base installation failed with code: ${installBaseCode}`)
+    cleanOldOvmsInstallation()
+    return installBaseCode
+  }
+
+  const installExtraCode = await installOvmsExtra()
+  if (installExtraCode !== 0) {
+    console.error(`OVMS Extra installation failed with code: ${installExtraCode}`)
+    return installExtraCode
+  }
+
+  return 0
 }
 
 // Run the installation

scripts/auto-translate-i18n.ts

@@ -2,9 +2,9 @@
  * 该脚本用于少量自动翻译所有baseLocale以外的文本。待翻译文案必须以[to be translated]开头
  *
  */
+import OpenAI from '@cherrystudio/openai'
 import cliProgress from 'cli-progress'
 import * as fs from 'fs'
-import OpenAI from 'openai'
 import * as path from 'path'
 
 const localesDir = path.join(__dirname, '../src/renderer/src/i18n/locales')

scripts/feishu-notify.js

@@ -0,0 +1,228 @@
+/**
+ * Feishu (Lark) Webhook Notification Script
+ * Sends GitHub issue summaries to Feishu with signature verification
+ */
+
+const crypto = require('crypto')
+const https = require('https')
+
+/**
+ * Generate Feishu webhook signature
+ * @param {string} secret - Feishu webhook secret
+ * @param {number} timestamp - Unix timestamp in seconds
+ * @returns {string} Base64 encoded signature
+ */
+function generateSignature(secret, timestamp) {
+  const stringToSign = `${timestamp}\n${secret}`
+  const hmac = crypto.createHmac('sha256', stringToSign)
+  return hmac.digest('base64')
+}
+
+/**
+ * Send message to Feishu webhook
+ * @param {string} webhookUrl - Feishu webhook URL
+ * @param {string} secret - Feishu webhook secret
+ * @param {object} content - Message content
+ * @returns {Promise<void>}
+ */
+function sendToFeishu(webhookUrl, secret, content) {
+  return new Promise((resolve, reject) => {
+    const timestamp = Math.floor(Date.now() / 1000)
+    const sign = generateSignature(secret, timestamp)
+
+    const payload = JSON.stringify({
+      timestamp: timestamp.toString(),
+      sign: sign,
+      msg_type: 'interactive',
+      card: content
+    })
+
+    const url = new URL(webhookUrl)
+    const options = {
+      hostname: url.hostname,
+      path: url.pathname + url.search,
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        'Content-Length': Buffer.byteLength(payload)
+      }
+    }
+
+    const req = https.request(options, (res) => {
+      let data = ''
+      res.on('data', (chunk) => {
+        data += chunk
+      })
+      res.on('end', () => {
+        if (res.statusCode >= 200 && res.statusCode < 300) {
+          console.log('✅ Successfully sent to Feishu:', data)
+          resolve()
+        } else {
+          reject(new Error(`Feishu API error: ${res.statusCode} - ${data}`))
+        }
+      })
+    })
+
+    req.on('error', (error) => {
+      reject(error)
+    })
+
+    req.write(payload)
+    req.end()
+  })
+}
+
+/**
+ * Create Feishu card message from issue data
+ * @param {object} issueData - GitHub issue data
+ * @returns {object} Feishu card content
+ */
+function createIssueCard(issueData) {
+  const { issueUrl, issueNumber, issueTitle, issueSummary, issueAuthor, labels } = issueData
+
+  // Build labels section if labels exist
+  const labelElements =
+    labels && labels.length > 0
+      ? labels.map((label) => ({
+          tag: 'markdown',
+          content: `\`${label}\``
+        }))
+      : []
+
+  return {
+    elements: [
+      {
+        tag: 'div',
+        text: {
+          tag: 'lark_md',
+          content: `**🐛 New GitHub Issue #${issueNumber}**`
+        }
+      },
+      {
+        tag: 'hr'
+      },
+      {
+        tag: 'div',
+        text: {
+          tag: 'lark_md',
+          content: `**📝 Title:** ${issueTitle}`
+        }
+      },
+      {
+        tag: 'div',
+        text: {
+          tag: 'lark_md',
+          content: `**👤 Author:** ${issueAuthor}`
+        }
+      },
+      ...(labelElements.length > 0
+        ? [
+            {
+              tag: 'div',
+              text: {
+                tag: 'lark_md',
+                content: `**🏷️ Labels:** ${labels.join(', ')}`
+              }
+            }
+          ]
+        : []),
+      {
+        tag: 'hr'
+      },
+      {
+        tag: 'div',
+        text: {
+          tag: 'lark_md',
+          content: `**📋 Summary:**\n${issueSummary}`
+        }
+      },
+      {
+        tag: 'hr'
+      },
+      {
+        tag: 'action',
+        actions: [
+          {
+            tag: 'button',
+            text: {
+              tag: 'plain_text',
+              content: '🔗 View Issue'
+            },
+            type: 'primary',
+            url: issueUrl
+          }
+        ]
+      }
+    ],
+    header: {
+      template: 'blue',
+      title: {
+        tag: 'plain_text',
+        content: '🆕 Cherry Studio - New Issue'
+      }
+    }
+  }
+}
+
+/**
+ * Main function
+ */
+async function main() {
+  try {
+    // Get environment variables
+    const webhookUrl = process.env.FEISHU_WEBHOOK_URL
+    const secret = process.env.FEISHU_WEBHOOK_SECRET
+    const issueUrl = process.env.ISSUE_URL
+    const issueNumber = process.env.ISSUE_NUMBER
+    const issueTitle = process.env.ISSUE_TITLE
+    const issueSummary = process.env.ISSUE_SUMMARY
+    const issueAuthor = process.env.ISSUE_AUTHOR
+    const labelsStr = process.env.ISSUE_LABELS || ''
+
+    // Validate required environment variables
+    if (!webhookUrl) {
+      throw new Error('FEISHU_WEBHOOK_URL environment variable is required')
+    }
+    if (!secret) {
+      throw new Error('FEISHU_WEBHOOK_SECRET environment variable is required')
+    }
+    if (!issueUrl || !issueNumber || !issueTitle || !issueSummary) {
+      throw new Error('Issue data environment variables are required')
+    }
+
+    // Parse labels
+    const labels = labelsStr
+      ? labelsStr
+          .split(',')
+          .map((l) => l.trim())
+          .filter(Boolean)
+      : []
+
+    // Create issue data object
+    const issueData = {
+      issueUrl,
+      issueNumber,
+      issueTitle,
+      issueSummary,
+      issueAuthor: issueAuthor || 'Unknown',
+      labels
+    }
+
+    // Create card content
+    const card = createIssueCard(issueData)
+
+    console.log('📤 Sending notification to Feishu...')
+    console.log(`Issue #${issueNumber}: ${issueTitle}`)
+
+    // Send to Feishu
+    await sendToFeishu(webhookUrl, secret, card)
+
+    console.log('✅ Notification sent successfully!')
+  } catch (error) {
+    console.error('❌ Error:', error.message)
+    process.exit(1)
+  }
+}
+
+// Run main function
+main()

scripts/update-i18n.ts

@@ -4,9 +4,9 @@
  * API_KEY=sk-xxxx BASE_URL=xxxx MODEL=xxxx ts-node scripts/update-i18n.ts
  */
 
+import OpenAI from '@cherrystudio/openai'
 import cliProgress from 'cli-progress'
 import fs from 'fs'
-import OpenAI from 'openai'
 
 type I18NValue = string | { [key: string]: I18NValue }
 type I18N = { [key: string]: I18NValue }

src/main/apiServer/routes/agents/handlers/agents.ts

@@ -132,6 +132,20 @@ export const createAgent = async (req: Request, res: Response): Promise<Response
  *           minimum: 0
  *           default: 0
  *         description: Number of agents to skip
+ *       - in: query
+ *         name: sortBy
+ *         schema:
+ *           type: string
+ *           enum: [created_at, updated_at, name]
+ *           default: created_at
+ *         description: Field to sort by
+ *       - in: query
+ *         name: orderBy
+ *         schema:
+ *           type: string
+ *           enum: [asc, desc]
+ *           default: desc
+ *         description: Sort order (asc = ascending, desc = descending)
  *     responses:
  *       200:
  *         description: List of agents
@@ -170,10 +184,12 @@ export const listAgents = async (req: Request, res: Response): Promise<Response>
   try {
     const limit = req.query.limit ? parseInt(req.query.limit as string) : 20
     const offset = req.query.offset ? parseInt(req.query.offset as string) : 0
+    const sortBy = (req.query.sortBy as 'created_at' | 'updated_at' | 'name') || 'created_at'
+    const orderBy = (req.query.orderBy as 'asc' | 'desc') || 'desc'
 
-    logger.debug('Listing agents', { limit, offset })
+    logger.debug('Listing agents', { limit, offset, sortBy, orderBy })
 
-    const result = await agentService.listAgents({ limit, offset })
+    const result = await agentService.listAgents({ limit, offset, sortBy, orderBy })
 
     logger.info('Agents listed', {
       returned: result.agents.length,

src/main/apiServer/routes/chat.ts

@@ -1,5 +1,5 @@
+import { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
 import express, { Request, Response } from 'express'
-import { ChatCompletionCreateParams } from 'openai/resources'
 
 import { loggerService } from '../../services/LoggerService'
 import {

src/main/apiServer/routes/messages.ts

@@ -1,9 +1,9 @@
 import { MessageCreateParams } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
+import { Provider } from '@types'
 import express, { Request, Response } from 'express'
 
-import { Provider } from '../../../renderer/src/types/provider'
-import { MessagesService, messagesService } from '../services/messages'
+import { messagesService } from '../services/messages'
 import { getProviderById, validateModelId } from '../utils'
 
 const logger = loggerService.withContext('ApiServerMessagesRoutes')
@@ -11,7 +11,7 @@ const logger = loggerService.withContext('ApiServerMessagesRoutes')
 const router = express.Router()
 const providerRouter = express.Router({ mergeParams: true })
 
-// Helper functions for shared logic
+// Helper function for basic request validation
 async function validateRequestBody(req: Request): Promise<{ valid: boolean; error?: any }> {
   const request: MessageCreateParams = req.body
 
@@ -31,157 +31,53 @@ async function validateRequestBody(req: Request): Promise<{ valid: boolean; erro
   return { valid: true }
 }
 
-async function handleStreamingResponse(
-  res: Response,
-  request: MessageCreateParams,
-  provider: Provider,
-  messagesService: MessagesService
-): Promise<void> {
-  res.setHeader('Content-Type', 'text/event-stream; charset=utf-8')
-  res.setHeader('Cache-Control', 'no-cache, no-transform')
-  res.setHeader('Connection', 'keep-alive')
-  res.setHeader('X-Accel-Buffering', 'no')
-  res.flushHeaders()
-  const flushableResponse = res as Response & { flush?: () => void }
-  const flushStream = () => {
-    if (typeof flushableResponse.flush !== 'function') {
-      return
-    }
-    try {
-      flushableResponse.flush()
-    } catch (flushError: unknown) {
-      logger.warn('Failed to flush streaming response', {
-        error: flushError
-      })
-    }
-  }
-
-  try {
-    for await (const chunk of messagesService.processStreamingMessage(request, provider)) {
-      res.write(`event: ${chunk.type}\n`)
-      res.write(`data: ${JSON.stringify(chunk)}\n\n`)
-      flushStream()
-    }
-    res.write('data: [DONE]\n\n')
-    flushStream()
-  } catch (streamError: any) {
-    logger.error('Stream error', {
-      error: streamError,
-      provider: provider.id,
-      model: request.model,
-      apiHost: provider.apiHost,
-      anthropicApiHost: provider.anthropicApiHost
-    })
-    res.write(
-      `data: ${JSON.stringify({
-        type: 'error',
-        error: {
-          type: 'api_error',
-          message: 'Stream processing error'
-        }
-      })}\n\n`
-    )
-  } finally {
-    res.end()
-  }
-}
-
-function handleErrorResponse(res: Response, error: any): Response {
-  logger.error('Message processing error', { error })
-
-  let statusCode = 500
-  let errorType = 'api_error'
-  let errorMessage = 'Internal server error'
-
-  const anthropicStatus = typeof error?.status === 'number' ? error.status : undefined
-  const anthropicError = error?.error
-
-  if (anthropicStatus) {
-    statusCode = anthropicStatus
-  }
-
-  if (anthropicError?.type) {
-    errorType = anthropicError.type
-  }
-
-  if (anthropicError?.message) {
-    errorMessage = anthropicError.message
-  } else if (error instanceof Error && error.message) {
-    errorMessage = error.message
-  }
-
-  if (!anthropicStatus && error instanceof Error) {
-    if (error.message.includes('API key') || error.message.includes('authentication')) {
-      statusCode = 401
-      errorType = 'authentication_error'
-    } else if (error.message.includes('rate limit') || error.message.includes('quota')) {
-      statusCode = 429
-      errorType = 'rate_limit_error'
-    } else if (error.message.includes('timeout') || error.message.includes('connection')) {
-      statusCode = 502
-      errorType = 'api_error'
-    } else if (error.message.includes('validation') || error.message.includes('invalid')) {
-      statusCode = 400
-      errorType = 'invalid_request_error'
-    }
-  }
-
-  return res.status(statusCode).json({
-    type: 'error',
-    error: {
-      type: errorType,
-      message: errorMessage,
-      requestId: error?.request_id
-    }
-  })
-}
-
-async function processMessageRequest(
-  req: Request,
-  res: Response,
-  provider: Provider,
+interface HandleMessageProcessingOptions {
+  req: Request
+  res: Response
+  provider: Provider
+  request: MessageCreateParams
   modelId?: string
-): Promise<Response | void> {
-  try {
-    const request: MessageCreateParams = req.body
-
-    // Use provided modelId or keep original model
-    if (modelId) {
-      request.model = modelId
 }
 
-    // Validate request
+async function handleMessageProcessing({
+  req,
+  res,
+  provider,
+  request,
+  modelId
+}: HandleMessageProcessingOptions): Promise<void> {
+  try {
     const validation = messagesService.validateRequest(request)
     if (!validation.isValid) {
-      return res.status(400).json({
+      res.status(400).json({
         type: 'error',
         error: {
           type: 'invalid_request_error',
           message: validation.errors.join('; ')
         }
       })
-    }
-
-    logger.info('Processing anthropic messages request', {
-      provider: provider.id,
-      apiHost: provider.apiHost,
-      anthropicApiHost: provider.anthropicApiHost,
-      model: request.model,
-      stream: request.stream,
-      thinking: request.thinking
-    })
-
-    // Handle streaming
-    if (request.stream) {
-      await handleStreamingResponse(res, request, provider, messagesService)
       return
     }
 
-    // Handle non-streaming
-    const response = await messagesService.processMessage(request, provider)
-    return res.json(response)
+    const extraHeaders = messagesService.prepareHeaders(req.headers)
+    const { client, anthropicRequest } = await messagesService.processMessage({
+      provider,
+      request,
+      extraHeaders,
+      modelId
+    })
+
+    if (request.stream) {
+      await messagesService.handleStreaming(client, anthropicRequest, { response: res }, provider)
+      return
+    }
+
+    const response = await client.messages.create(anthropicRequest)
+    res.json(response)
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    res.status(statusCode).json(errorResponse)
   }
 }
 
@@ -338,10 +234,11 @@ router.post('/', async (req: Request, res: Response) => {
     const provider = modelValidation.provider!
     const modelId = modelValidation.modelId!
 
-    // Use shared processing function
-    return await processMessageRequest(req, res, provider, modelId)
+    return handleMessageProcessing({ req, res, provider, request, modelId })
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    return res.status(statusCode).json(errorResponse)
   }
 })
 
@@ -493,10 +390,13 @@ providerRouter.post('/', async (req: Request, res: Response) => {
       })
     }
 
-    // Use shared processing function (no modelId override needed)
-    return await processMessageRequest(req, res, provider)
+    const request: MessageCreateParams = req.body
+
+    return handleMessageProcessing({ req, res, provider, request })
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    return res.status(statusCode).json(errorResponse)
   }
 })
 

src/main/apiServer/server.ts

@@ -1,7 +1,8 @@
 import { createServer } from 'node:http'
 
+import { loggerService } from '@logger'
+
 import { agentService } from '../services/agents'
-import { loggerService } from '../services/LoggerService'
 import { app } from './app'
 import { config } from './config'
 
@@ -15,11 +16,17 @@ export class ApiServer {
   private server: ReturnType<typeof createServer> | null = null
 
   async start(): Promise<void> {
-    if (this.server) {
+    if (this.server && this.server.listening) {
       logger.warn('Server already running')
       return
     }
 
+    // Clean up any failed server instance
+    if (this.server && !this.server.listening) {
+      logger.warn('Cleaning up failed server instance')
+      this.server = null
+    }
+
     // Load config
     const { port, host } = await config.load()
 
@@ -39,7 +46,11 @@ export class ApiServer {
         resolve()
       })
 
-      this.server!.on('error', reject)
+      this.server!.on('error', (error) => {
+        // Clean up the server instance if listen fails
+        this.server = null
+        reject(error)
+      })
     })
   }
 

src/main/apiServer/services/chat-completion.ts

@@ -1,6 +1,6 @@
+import OpenAI from '@cherrystudio/openai'
+import { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
 import { Provider } from '@types'
-import OpenAI from 'openai'
-import { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from 'openai/resources'
 
 import { loggerService } from '../../services/LoggerService'
 import { ModelValidationError, validateModelId } from '../utils'

src/main/apiServer/services/messages.ts

@@ -1,33 +1,93 @@
 import Anthropic from '@anthropic-ai/sdk'
-import { Message, MessageCreateParams, RawMessageStreamEvent } from '@anthropic-ai/sdk/resources'
+import { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
 import anthropicService from '@main/services/AnthropicService'
 import { buildClaudeCodeSystemMessage, getSdkClient } from '@shared/anthropic'
 import { Provider } from '@types'
+import { Response } from 'express'
 
 const logger = loggerService.withContext('MessagesService')
+const EXCLUDED_FORWARD_HEADERS: ReadonlySet<string> = new Set([
+  'host',
+  'x-api-key',
+  'authorization',
+  'sentry-trace',
+  'baggage',
+  'content-length',
+  'connection'
+])
 
 export interface ValidationResult {
   isValid: boolean
   errors: string[]
 }
 
+export interface ErrorResponse {
+  type: 'error'
+  error: {
+    type: string
+    message: string
+    requestId?: string
+  }
+}
+
+export interface StreamConfig {
+  response: Response
+  onChunk?: (chunk: MessageStreamEvent) => void
+  onError?: (error: any) => void
+  onComplete?: () => void
+}
+
+export interface ProcessMessageOptions {
+  provider: Provider
+  request: MessageCreateParams
+  extraHeaders?: Record<string, string | string[]>
+  modelId?: string
+}
+
+export interface ProcessMessageResult {
+  client: Anthropic
+  anthropicRequest: MessageCreateParams
+}
+
 export class MessagesService {
-  // oxlint-disable-next-line no-unused-vars
   validateRequest(request: MessageCreateParams): ValidationResult {
     // TODO: Implement comprehensive request validation
     const errors: string[] = []
 
-    if (!request.model) {
+    if (!request.model || typeof request.model !== 'string') {
       errors.push('Model is required')
     }
 
-    if (!request.max_tokens || request.max_tokens < 1) {
-      errors.push('max_tokens is required and must be at least 1')
+    if (typeof request.max_tokens !== 'number' || !Number.isFinite(request.max_tokens) || request.max_tokens < 1) {
+      errors.push('max_tokens is required and must be a positive number')
     }
 
     if (!request.messages || !Array.isArray(request.messages) || request.messages.length === 0) {
       errors.push('messages is required and must be a non-empty array')
+    } else {
+      request.messages.forEach((message, index) => {
+        if (!message || typeof message !== 'object') {
+          errors.push(`messages[${index}] must be an object`)
+          return
+        }
+
+        if (!('role' in message) || typeof message.role !== 'string' || message.role.trim().length === 0) {
+          errors.push(`messages[${index}].role is required`)
+        }
+
+        const content: unknown = message.content
+        if (content === undefined || content === null) {
+          errors.push(`messages[${index}].content is required`)
+          return
+        }
+
+        if (typeof content === 'string' && content.trim().length === 0) {
+          errors.push(`messages[${index}].content cannot be empty`)
+        } else if (Array.isArray(content) && content.length === 0) {
+          errors.push(`messages[${index}].content must include at least one item when using an array`)
+        }
+      })
     }
 
     return {
@@ -36,79 +96,224 @@ export class MessagesService {
     }
   }
 
-  async getClient(provider: Provider): Promise<Anthropic> {
+  async getClient(provider: Provider, extraHeaders?: Record<string, string | string[]>): Promise<Anthropic> {
     // Create Anthropic client for the provider
     if (provider.authType === 'oauth') {
       const oauthToken = await anthropicService.getValidAccessToken()
-      return getSdkClient(provider, oauthToken)
+      return getSdkClient(provider, oauthToken, extraHeaders)
     }
-    return getSdkClient(provider)
+    return getSdkClient(provider, null, extraHeaders)
   }
 
-  async processMessage(request: MessageCreateParams, provider: Provider): Promise<Message> {
-    logger.debug('Preparing Anthropic message request', {
-      model: request.model,
-      messageCount: request.messages.length,
-      stream: request.stream,
-      maxTokens: request.max_tokens,
-      provider: provider.id
-    })
+  prepareHeaders(headers: Record<string, string | string[] | undefined>): Record<string, string | string[]> {
+    const extraHeaders: Record<string, string | string[]> = {}
 
-    // Create Anthropic client for the provider
-    const client = await this.getClient(provider)
+    for (const [key, value] of Object.entries(headers)) {
+      if (value === undefined) {
+        continue
+      }
 
-    // Prepare request with the actual model ID
+      const normalizedKey = key.toLowerCase()
+      if (EXCLUDED_FORWARD_HEADERS.has(normalizedKey)) {
+        continue
+      }
+
+      extraHeaders[normalizedKey] = value
+    }
+
+    return extraHeaders
+  }
+
+  createAnthropicRequest(request: MessageCreateParams, provider: Provider, modelId?: string): MessageCreateParams {
     const anthropicRequest: MessageCreateParams = {
       ...request,
-      stream: false
+      stream: !!request.stream
     }
 
-    if (provider.authType === 'oauth') {
-      anthropicRequest.system = buildClaudeCodeSystemMessage(request.system || '')
+    // Override model if provided
+    if (modelId) {
+      anthropicRequest.model = modelId
     }
 
-    const response = await client.messages.create(anthropicRequest)
-
-    logger.info('Anthropic message completed', {
-      model: request.model,
-      provider: provider.id
-    })
-    return response
+    // Add Claude Code system message for OAuth providers
+    if (provider.type === 'anthropic' && provider.authType === 'oauth') {
+      anthropicRequest.system = buildClaudeCodeSystemMessage(request.system)
     }
 
-  async *processStreamingMessage(
+    return anthropicRequest
+  }
+
+  async handleStreaming(
+    client: Anthropic,
     request: MessageCreateParams,
+    config: StreamConfig,
     provider: Provider
-  ): AsyncIterable<RawMessageStreamEvent> {
-    logger.debug('Preparing streaming Anthropic message request', {
-      model: request.model,
-      messageCount: request.messages.length,
-      provider: provider.id
-    })
+  ): Promise<void> {
+    const { response, onChunk, onError, onComplete } = config
 
-    // Create Anthropic client for the provider
-    const client = await this.getClient(provider)
+    // Set streaming headers
+    response.setHeader('Content-Type', 'text/event-stream; charset=utf-8')
+    response.setHeader('Cache-Control', 'no-cache, no-transform')
+    response.setHeader('Connection', 'keep-alive')
+    response.setHeader('X-Accel-Buffering', 'no')
+    response.flushHeaders()
 
-    // Prepare streaming request
-    const streamingRequest: MessageCreateParams = {
-      ...request,
-      stream: true
+    const flushableResponse = response as Response & { flush?: () => void }
+    const flushStream = () => {
+      if (typeof flushableResponse.flush !== 'function') {
+        return
+      }
+      try {
+        flushableResponse.flush()
+      } catch (flushError: unknown) {
+        logger.warn('Failed to flush streaming response', { error: flushError })
+      }
     }
 
-    if (provider.authType === 'oauth') {
-      streamingRequest.system = buildClaudeCodeSystemMessage(request.system || '')
+    const writeSse = (eventType: string | undefined, payload: unknown) => {
+      if (response.writableEnded || response.destroyed) {
+        return
       }
 
-    const stream = client.messages.stream(streamingRequest)
+      if (eventType) {
+        response.write(`event: ${eventType}\n`)
+      }
 
+      const data = typeof payload === 'string' ? payload : JSON.stringify(payload)
+      response.write(`data: ${data}\n\n`)
+      flushStream()
+    }
+
+    try {
+      const stream = client.messages.stream(request)
       for await (const chunk of stream) {
-      yield chunk
+        if (response.writableEnded || response.destroyed) {
+          logger.warn('Streaming response ended before stream completion', {
+            provider: provider.id,
+            model: request.model
+          })
+          break
         }
 
-    logger.info('Completed streaming Anthropic message', {
+        writeSse(chunk.type, chunk)
+
+        if (onChunk) {
+          onChunk(chunk)
+        }
+      }
+      writeSse(undefined, '[DONE]')
+
+      if (onComplete) {
+        onComplete()
+      }
+    } catch (streamError: any) {
+      logger.error('Stream error', {
+        error: streamError,
+        provider: provider.id,
         model: request.model,
-      provider: provider.id
+        apiHost: provider.apiHost,
+        anthropicApiHost: provider.anthropicApiHost
       })
+      writeSse(undefined, {
+        type: 'error',
+        error: {
+          type: 'api_error',
+          message: 'Stream processing error'
+        }
+      })
+
+      if (onError) {
+        onError(streamError)
+      }
+    } finally {
+      if (!response.writableEnded) {
+        response.end()
+      }
+    }
+  }
+
+  transformError(error: any): { statusCode: number; errorResponse: ErrorResponse } {
+    let statusCode = 500
+    let errorType = 'api_error'
+    let errorMessage = 'Internal server error'
+
+    const anthropicStatus = typeof error?.status === 'number' ? error.status : undefined
+    const anthropicError = error?.error
+
+    if (anthropicStatus) {
+      statusCode = anthropicStatus
+    }
+
+    if (anthropicError?.type) {
+      errorType = anthropicError.type
+    }
+
+    if (anthropicError?.message) {
+      errorMessage = anthropicError.message
+    } else if (error instanceof Error && error.message) {
+      errorMessage = error.message
+    }
+
+    // Infer error type from message if not from Anthropic API
+    if (!anthropicStatus && error instanceof Error) {
+      const errorMessageText = error.message ?? ''
+
+      if (errorMessageText.includes('API key') || errorMessageText.includes('authentication')) {
+        statusCode = 401
+        errorType = 'authentication_error'
+      } else if (errorMessageText.includes('rate limit') || errorMessageText.includes('quota')) {
+        statusCode = 429
+        errorType = 'rate_limit_error'
+      } else if (errorMessageText.includes('timeout') || errorMessageText.includes('connection')) {
+        statusCode = 502
+        errorType = 'api_error'
+      } else if (errorMessageText.includes('validation') || errorMessageText.includes('invalid')) {
+        statusCode = 400
+        errorType = 'invalid_request_error'
+      }
+    }
+
+    const safeErrorMessage =
+      typeof errorMessage === 'string' && errorMessage.length > 0 ? errorMessage : 'Internal server error'
+
+    return {
+      statusCode,
+      errorResponse: {
+        type: 'error',
+        error: {
+          type: errorType,
+          message: safeErrorMessage,
+          requestId: error?.request_id
+        }
+      }
+    }
+  }
+
+  async processMessage(options: ProcessMessageOptions): Promise<ProcessMessageResult> {
+    const { provider, request, extraHeaders, modelId } = options
+
+    const client = await this.getClient(provider, extraHeaders)
+    const anthropicRequest = this.createAnthropicRequest(request, provider, modelId)
+
+    const messageCount = Array.isArray(request.messages) ? request.messages.length : 0
+
+    logger.info('Processing anthropic messages request', {
+      provider: provider.id,
+      apiHost: provider.apiHost,
+      anthropicApiHost: provider.anthropicApiHost,
+      model: anthropicRequest.model,
+      stream: !!anthropicRequest.stream,
+      // systemPrompt: JSON.stringify(!!request.system),
+      // messages: JSON.stringify(request.messages),
+      messageCount,
+      toolCount: Array.isArray(request.tools) ? request.tools.length : 0
+    })
+
+    // Return client and request for route layer to handle streaming/non-streaming
+    return {
+      client,
+      anthropicRequest
+    }
   }
 }
 

src/main/apiServer/services/models.ts

@@ -1,6 +1,13 @@
+import { isEmpty } from 'lodash'
+
 import { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
 import { loggerService } from '../../services/LoggerService'
-import { getAvailableProviders, listAllAvailableModels, transformModelToOpenAI } from '../utils'
+import {
+  getAvailableProviders,
+  getProviderAnthropicModelChecker,
+  listAllAvailableModels,
+  transformModelToOpenAI
+} from '../utils'
 
 const logger = loggerService.withContext('ModelsService')
 
@@ -16,9 +23,7 @@ export class ModelsService {
       let providers = await getAvailableProviders()
 
       if (filter.providerType === 'anthropic') {
-        providers = providers.filter(
-          (p) => p.type === 'anthropic' || (p.anthropicApiHost !== undefined && p.anthropicApiHost.trim() !== '')
-        )
+        providers = providers.filter((p) => p.type === 'anthropic' || !isEmpty(p.anthropicApiHost?.trim()))
       }
 
       const models = await listAllAvailableModels(providers)
@@ -27,19 +32,19 @@ export class ModelsService {
 
       for (const model of models) {
         const provider = providers.find((p) => p.id === model.provider)
-        logger.debug(`Processing model ${model.id} from provider ${model.provider}`, {
-          isAnthropicModel: provider?.isAnthropicModel
-        })
-        if (
-          !provider ||
-          (filter.providerType === 'anthropic' && provider.isAnthropicModel && !provider.isAnthropicModel(model))
-        ) {
+        logger.debug(`Processing model ${model.id}`)
+        if (!provider) {
+          logger.debug(`Skipping model ${model.id} . Reason: Provider not found.`)
           continue
         }
-        // Special case: For "aihubmix", it should be covered by above condition, but just in case
-        if (provider.id === 'aihubmix' && filter.providerType === 'anthropic' && !model.id.includes('claude')) {
+
+        if (filter.providerType === 'anthropic') {
+          const checker = getProviderAnthropicModelChecker(provider.id)
+          if (!checker(model)) {
+            logger.debug(`Skipping model ${model.id} from ${model.provider}. Reason: Not an Anthropic model.`)
             continue
           }
+        }
 
         const openAIModel = transformModelToOpenAI(model, provider)
         const fullModelId = openAIModel.id // This is already in format "provider:model_id"

src/main/apiServer/utils/index.ts

@@ -279,3 +279,16 @@ export function validateProvider(provider: Provider): boolean {
     return false
   }
 }
+
+export const getProviderAnthropicModelChecker = (providerId: string): ((m: Model) => boolean) => {
+  switch (providerId) {
+    case 'cherryin':
+    case 'new-api':
+      return (m: Model) => m.endpoint_type === 'anthropic'
+    case 'aihubmix':
+      return (m: Model) => m.id.includes('claude')
+    default:
+      // allow all models when checker not configured
+      return () => true
+  }
+}

src/main/index.ts

@@ -30,6 +30,7 @@ import selectionService, { initSelectionService } from './services/SelectionServ
 import { registerShortcuts } from './services/ShortcutService'
 import { TrayService } from './services/TrayService'
 import { windowService } from './services/WindowService'
+import { initWebviewHotkeys } from './services/WebviewService'
 
 const logger = loggerService.withContext('MainEntry')
 
@@ -108,6 +109,7 @@ if (!app.requestSingleInstanceLock()) {
   // Some APIs can only be used after this event occurs.
 
   app.whenReady().then(async () => {
+    initWebviewHotkeys()
     // Set app user model id for windows
     electronApp.setAppUserModelId(import.meta.env.VITE_MAIN_BUNDLE_ID || 'com.kangfenmao.CherryStudio')
 
@@ -157,11 +159,26 @@ if (!app.requestSingleInstanceLock()) {
       logger.error('Failed to initialize Agent service:', error)
     }
 
-    // Start API server if enabled
+    // Start API server if enabled or if agents exist
     try {
       const config = await apiServerService.getCurrentConfig()
       logger.info('API server config:', config)
-      if (config.enabled) {
+
+      // Check if there are any agents
+      let shouldStart = config.enabled
+      if (!shouldStart) {
+        try {
+          const { total } = await agentService.listAgents({ limit: 1 })
+          if (total > 0) {
+            shouldStart = true
+            logger.info(`Detected ${total} agent(s), auto-starting API server`)
+          }
+        } catch (error: any) {
+          logger.warn('Failed to check agent count:', error)
+        }
+      }
+
+      if (shouldStart) {
         await apiServerService.start()
       }
     } catch (error: any) {

src/main/ipc.ts

@@ -142,7 +142,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   ipcMain.handle(IpcChannel.Open_Website, (_, url: string) => shell.openExternal(url))
 
   // Update
-  ipcMain.handle(IpcChannel.App_ShowUpdateDialog, () => appUpdater.showUpdateDialog(mainWindow))
+  ipcMain.handle(IpcChannel.App_QuitAndInstall, () => appUpdater.quitAndInstall())
 
   // language
   ipcMain.handle(IpcChannel.App_SetLanguage, (_, language) => {
@@ -786,7 +786,6 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   ipcMain.handle(IpcChannel.Webview_SetOpenLinkExternal, (_, webviewId: number, isExternal: boolean) =>
     setOpenLinkExternal(webviewId, isExternal)
   )
-
   ipcMain.handle(IpcChannel.Webview_SetSpellCheckEnabled, (_, webviewId: number, isEnable: boolean) => {
     const webview = webContents.fromId(webviewId)
     if (!webview) return
@@ -876,6 +875,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   ipcMain.handle(IpcChannel.OCR_ocr, (_, file: SupportedOcrFile, provider: OcrProvider) =>
     ocrService.ocr(file, provider)
   )
+  ipcMain.handle(IpcChannel.OCR_ListProviders, () => ocrService.listProviderIds())
 
   // OVMS
   ipcMain.handle(IpcChannel.Ovms_AddModel, (_, modelName: string, modelId: string, modelSource: string, task: string) =>

src/main/knowledge/reranker/BaseReranker.ts

@@ -80,6 +80,7 @@ export default abstract class BaseReranker {
       message: error.message,
       status: error.response?.status,
       statusText: error.response?.statusText,
+      responseBody: error.response?.body, // Include the actual API error response
       requestBody: requestBody
     }
     return JSON.stringify(errorDetails, null, 2)

src/main/knowledge/reranker/GeneralReranker.ts

@@ -2,6 +2,15 @@ import { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
 import { net } from 'electron'
 
 import BaseReranker from './BaseReranker'
+
+interface RerankError extends Error {
+  response?: {
+    status: number
+    statusText: string
+    body?: unknown
+  }
+}
+
 export default class GeneralReranker extends BaseReranker {
   constructor(base: KnowledgeBaseParams) {
     super(base)
@@ -17,7 +26,30 @@ export default class GeneralReranker extends BaseReranker {
       })
 
       if (!response.ok) {
-        throw new Error(`HTTP ${response.status}: ${response.statusText}`)
+        // Read the response body to get detailed error information
+        // Clone the response to avoid consuming the body multiple times
+        const clonedResponse = response.clone()
+        let errorBody: unknown
+
+        try {
+          errorBody = await clonedResponse.json()
+        } catch {
+          // If response body is not JSON, try to read as text
+          try {
+            errorBody = await response.text()
+          } catch {
+            errorBody = null
+          }
+        }
+
+        const error = new Error(`HTTP ${response.status}: ${response.statusText}`) as RerankError
+        // Attach response details to the error object for formatErrorMessage
+        error.response = {
+          status: response.status,
+          statusText: response.statusText,
+          body: errorBody
+        }
+        throw error
       }
 
       const data = await response.json()

src/main/mcpServers/didi-mcp.ts

@@ -0,0 +1,473 @@
+/**
+ * DiDi MCP Server Implementation
+ *
+ * Based on official DiDi MCP API capabilities.
+ * API Documentation: https://mcp.didichuxing.com/api?tap=api
+ *
+ * Provides ride-hailing services including map search, price estimation,
+ * order management, and driver tracking.
+ *
+ * Note: Only available in Mainland China.
+ */
+
+import { loggerService } from '@logger'
+import { Server } from '@modelcontextprotocol/sdk/server/index.js'
+import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
+
+const logger = loggerService.withContext('DiDiMCPServer')
+
+export class DiDiMcpServer {
+  private _server: Server
+  private readonly baseUrl = 'http://mcp.didichuxing.com/mcp-servers'
+  private apiKey: string
+
+  constructor(apiKey?: string) {
+    this._server = new Server(
+      {
+        name: 'didi-mcp-server',
+        version: '0.1.0'
+      },
+      {
+        capabilities: {
+          tools: {}
+        }
+      }
+    )
+
+    // Get API key from parameter or environment variables
+    this.apiKey = apiKey || process.env.DIDI_API_KEY || ''
+    if (!this.apiKey) {
+      logger.warn('DIDI_API_KEY environment variable is not set')
+    }
+
+    this.setupRequestHandlers()
+  }
+
+  get server(): Server {
+    return this._server
+  }
+
+  private setupRequestHandlers() {
+    // List available tools
+    this._server.setRequestHandler(ListToolsRequestSchema, async () => {
+      return {
+        tools: [
+          {
+            name: 'maps_textsearch',
+            description: 'Search for POI locations based on keywords and city',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                city: {
+                  type: 'string',
+                  description: 'Query city'
+                },
+                keywords: {
+                  type: 'string',
+                  description: 'Search keywords'
+                },
+                location: {
+                  type: 'string',
+                  description: 'Location coordinates, format: longitude,latitude'
+                }
+              },
+              required: ['keywords', 'city']
+            }
+          },
+          {
+            name: 'taxi_cancel_order',
+            description: 'Cancel a taxi order',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                order_id: {
+                  type: 'string',
+                  description: 'Order ID from order creation or query results'
+                },
+                reason: {
+                  type: 'string',
+                  description:
+                    'Cancellation reason (optional). Examples: no longer needed, waiting too long, urgent matter'
+                }
+              },
+              required: ['order_id']
+            }
+          },
+          {
+            name: 'taxi_create_order',
+            description: 'Create taxi order directly via API without opening any app interface',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                caller_car_phone: {
+                  type: 'string',
+                  description: 'Caller phone number (optional)'
+                },
+                estimate_trace_id: {
+                  type: 'string',
+                  description: 'Estimation trace ID from estimation results'
+                },
+                product_category: {
+                  type: 'string',
+                  description: 'Vehicle category ID from estimation results, comma-separated for multiple types'
+                }
+              },
+              required: ['product_category', 'estimate_trace_id']
+            }
+          },
+          {
+            name: 'taxi_estimate',
+            description: 'Get available ride-hailing vehicle types and fare estimates',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                from_lat: {
+                  type: 'string',
+                  description: 'Departure latitude, must be from map tools'
+                },
+                from_lng: {
+                  type: 'string',
+                  description: 'Departure longitude, must be from map tools'
+                },
+                from_name: {
+                  type: 'string',
+                  description: 'Departure location name'
+                },
+                to_lat: {
+                  type: 'string',
+                  description: 'Destination latitude, must be from map tools'
+                },
+                to_lng: {
+                  type: 'string',
+                  description: 'Destination longitude, must be from map tools'
+                },
+                to_name: {
+                  type: 'string',
+                  description: 'Destination name'
+                }
+              },
+              required: ['from_lng', 'from_lat', 'from_name', 'to_lng', 'to_lat', 'to_name']
+            }
+          },
+          {
+            name: 'taxi_generate_ride_app_link',
+            description: 'Generate deep links to open ride-hailing apps based on origin, destination and vehicle type',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                from_lat: {
+                  type: 'string',
+                  description: 'Departure latitude, must be from map tools'
+                },
+                from_lng: {
+                  type: 'string',
+                  description: 'Departure longitude, must be from map tools'
+                },
+                product_category: {
+                  type: 'string',
+                  description: 'Vehicle category IDs from estimation results, comma-separated for multiple types'
+                },
+                to_lat: {
+                  type: 'string',
+                  description: 'Destination latitude, must be from map tools'
+                },
+                to_lng: {
+                  type: 'string',
+                  description: 'Destination longitude, must be from map tools'
+                }
+              },
+              required: ['from_lng', 'from_lat', 'to_lng', 'to_lat']
+            }
+          },
+          {
+            name: 'taxi_get_driver_location',
+            description: 'Get real-time driver location for a taxi order',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                order_id: {
+                  type: 'string',
+                  description: 'Taxi order ID'
+                }
+              },
+              required: ['order_id']
+            }
+          },
+          {
+            name: 'taxi_query_order',
+            description: 'Query taxi order status and information such as driver contact, license plate, ETA',
+            inputSchema: {
+              type: 'object',
+              properties: {
+                order_id: {
+                  type: 'string',
+                  description: 'Order ID from order creation results, if available; otherwise queries incomplete orders'
+                }
+              }
+            }
+          }
+        ]
+      }
+    })
+
+    // Handle tool calls
+    this._server.setRequestHandler(CallToolRequestSchema, async (request) => {
+      const { name, arguments: args } = request.params
+
+      try {
+        switch (name) {
+          case 'maps_textsearch':
+            return await this.handleMapsTextSearch(args)
+          case 'taxi_cancel_order':
+            return await this.handleTaxiCancelOrder(args)
+          case 'taxi_create_order':
+            return await this.handleTaxiCreateOrder(args)
+          case 'taxi_estimate':
+            return await this.handleTaxiEstimate(args)
+          case 'taxi_generate_ride_app_link':
+            return await this.handleTaxiGenerateRideAppLink(args)
+          case 'taxi_get_driver_location':
+            return await this.handleTaxiGetDriverLocation(args)
+          case 'taxi_query_order':
+            return await this.handleTaxiQueryOrder(args)
+          default:
+            throw new Error(`Unknown tool: ${name}`)
+        }
+      } catch (error) {
+        logger.error(`Error calling tool ${name}:`, error as Error)
+        throw error
+      }
+    })
+  }
+
+  private async handleMapsTextSearch(args: any) {
+    const { city, keywords, location } = args
+
+    const params = {
+      name: 'maps_textsearch',
+      arguments: {
+        keywords,
+        city,
+        ...(location && { location })
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Maps text search error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiCancelOrder(args: any) {
+    const { order_id, reason } = args
+
+    const params = {
+      name: 'taxi_cancel_order',
+      arguments: {
+        order_id,
+        ...(reason && { reason })
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi cancel order error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiCreateOrder(args: any) {
+    const { caller_car_phone, estimate_trace_id, product_category } = args
+
+    const params = {
+      name: 'taxi_create_order',
+      arguments: {
+        product_category,
+        estimate_trace_id,
+        ...(caller_car_phone && { caller_car_phone })
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi create order error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiEstimate(args: any) {
+    const { from_lng, from_lat, from_name, to_lng, to_lat, to_name } = args
+
+    const params = {
+      name: 'taxi_estimate',
+      arguments: {
+        from_lng,
+        from_lat,
+        from_name,
+        to_lng,
+        to_lat,
+        to_name
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi estimate error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiGenerateRideAppLink(args: any) {
+    const { from_lng, from_lat, to_lng, to_lat, product_category } = args
+
+    const params = {
+      name: 'taxi_generate_ride_app_link',
+      arguments: {
+        from_lng,
+        from_lat,
+        to_lng,
+        to_lat,
+        ...(product_category && { product_category })
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi generate ride app link error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiGetDriverLocation(args: any) {
+    const { order_id } = args
+
+    const params = {
+      name: 'taxi_get_driver_location',
+      arguments: {
+        order_id
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi get driver location error:', error as Error)
+      throw error
+    }
+  }
+
+  private async handleTaxiQueryOrder(args: any) {
+    const { order_id } = args
+
+    const params = {
+      name: 'taxi_query_order',
+      arguments: {
+        ...(order_id && { order_id })
+      }
+    }
+
+    try {
+      const response = await this.makeRequest('tools/call', params)
+      return {
+        content: [
+          {
+            type: 'text',
+            text: JSON.stringify(response, null, 2)
+          }
+        ]
+      }
+    } catch (error) {
+      logger.error('Taxi query order error:', error as Error)
+      throw error
+    }
+  }
+
+  private async makeRequest(method: string, params: any): Promise<any> {
+    const requestData = {
+      jsonrpc: '2.0',
+      method: method,
+      id: Date.now(),
+      ...(Object.keys(params).length > 0 && { params })
+    }
+
+    // API key is passed as URL parameter
+    const url = `${this.baseUrl}?key=${this.apiKey}`
+
+    const response = await fetch(url, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json'
+      },
+      body: JSON.stringify(requestData)
+    })
+
+    if (!response.ok) {
+      const errorText = await response.text()
+      throw new Error(`HTTP ${response.status}: ${errorText}`)
+    }
+
+    const data = await response.json()
+
+    if (data.error) {
+      throw new Error(`API Error: ${JSON.stringify(data.error)}`)
+    }
+
+    return data.result
+  }
+}
+
+export default DiDiMcpServer

src/main/mcpServers/dify-knowledge.ts

@@ -3,7 +3,7 @@ import { loggerService } from '@logger'
 import { Server } from '@modelcontextprotocol/sdk/server/index.js'
 import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
 import { net } from 'electron'
-import { z } from 'zod'
+import * as z from 'zod'
 
 const logger = loggerService.withContext('DifyKnowledgeServer')
 

src/main/mcpServers/factory.ts

@@ -3,6 +3,7 @@ import { Server } from '@modelcontextprotocol/sdk/server/index.js'
 import { BuiltinMCPServerName, BuiltinMCPServerNames } from '@types'
 
 import BraveSearchServer from './brave-search'
+import DiDiMcpServer from './didi-mcp'
 import DifyKnowledgeServer from './dify-knowledge'
 import FetchServer from './fetch'
 import FileSystemServer from './filesystem'
@@ -42,6 +43,10 @@ export function createInMemoryMCPServer(
     case BuiltinMCPServerNames.python: {
       return new PythonServer().server
     }
+    case BuiltinMCPServerNames.didiMCP: {
+      const apiKey = envs.DIDI_API_KEY
+      return new DiDiMcpServer(apiKey).server
+    }
     default:
       throw new Error(`Unknown in-memory MCP server: ${name}`)
   }

src/main/mcpServers/fetch.ts

@@ -5,7 +5,7 @@ import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprot
 import { net } from 'electron'
 import { JSDOM } from 'jsdom'
 import TurndownService from 'turndown'
-import { z } from 'zod'
+import * as z from 'zod'
 
 export const RequestPayloadSchema = z.object({
   url: z.url(),

src/main/mcpServers/filesystem.ts

@@ -8,7 +8,7 @@ import fs from 'fs/promises'
 import { minimatch } from 'minimatch'
 import os from 'os'
 import path from 'path'
-import { z } from 'zod'
+import * as z from 'zod'
 
 const logger = loggerService.withContext('MCP:FileSystemServer')
 

src/main/services/ApiServerService.ts

@@ -1,5 +1,11 @@
 import { IpcChannel } from '@shared/IpcChannel'
-import { ApiServerConfig } from '@types'
+import {
+  ApiServerConfig,
+  GetApiServerStatusResult,
+  RestartApiServerStatusResult,
+  StartApiServerStatusResult,
+  StopApiServerStatusResult
+} from '@types'
 import { ipcMain } from 'electron'
 
 import { apiServer } from '../apiServer'
@@ -52,7 +58,7 @@ export class ApiServerService {
 
   registerIpcHandlers(): void {
     // API Server
-    ipcMain.handle(IpcChannel.ApiServer_Start, async () => {
+    ipcMain.handle(IpcChannel.ApiServer_Start, async (): Promise<StartApiServerStatusResult> => {
       try {
         await this.start()
         return { success: true }
@@ -61,7 +67,7 @@ export class ApiServerService {
       }
     })
 
-    ipcMain.handle(IpcChannel.ApiServer_Stop, async () => {
+    ipcMain.handle(IpcChannel.ApiServer_Stop, async (): Promise<StopApiServerStatusResult> => {
       try {
         await this.stop()
         return { success: true }
@@ -70,7 +76,7 @@ export class ApiServerService {
       }
     })
 
-    ipcMain.handle(IpcChannel.ApiServer_Restart, async () => {
+    ipcMain.handle(IpcChannel.ApiServer_Restart, async (): Promise<RestartApiServerStatusResult> => {
       try {
         await this.restart()
         return { success: true }
@@ -79,7 +85,7 @@ export class ApiServerService {
       }
     })
 
-    ipcMain.handle(IpcChannel.ApiServer_GetStatus, async () => {
+    ipcMain.handle(IpcChannel.ApiServer_GetStatus, async (): Promise<GetApiServerStatusResult> => {
       try {
         const config = await this.getCurrentConfig()
         return {

src/main/services/AppUpdater.ts

@@ -1,17 +1,15 @@
 import { loggerService } from '@logger'
 import { isWin } from '@main/constant'
 import { getIpCountry } from '@main/utils/ipService'
-import { locales } from '@main/utils/locales'
 import { generateUserAgent } from '@main/utils/systemInfo'
 import { FeedUrl, UpgradeChannel } from '@shared/config/constant'
 import { IpcChannel } from '@shared/IpcChannel'
 import { CancellationToken, UpdateInfo } from 'builder-util-runtime'
-import { app, BrowserWindow, dialog, net } from 'electron'
+import { app, net } from 'electron'
 import { AppUpdater as _AppUpdater, autoUpdater, Logger, NsisUpdater, UpdateCheckResult } from 'electron-updater'
 import path from 'path'
 import semver from 'semver'
 
-import icon from '../../../build/icon.png?asset'
 import { configManager } from './ConfigManager'
 import { windowService } from './WindowService'
 
@@ -26,7 +24,6 @@ const LANG_MARKERS = {
 
 export default class AppUpdater {
   autoUpdater: _AppUpdater = autoUpdater
-  private releaseInfo: UpdateInfo | undefined
   private cancellationToken: CancellationToken = new CancellationToken()
   private updateCheckResult: UpdateCheckResult | null = null
 
@@ -66,7 +63,6 @@ export default class AppUpdater {
     autoUpdater.on('update-downloaded', (releaseInfo: UpdateInfo) => {
       const processedReleaseInfo = this.processReleaseInfo(releaseInfo)
       windowService.getMainWindow()?.webContents.send(IpcChannel.UpdateDownloaded, processedReleaseInfo)
-      this.releaseInfo = processedReleaseInfo
       logger.info('update downloaded', processedReleaseInfo)
     })
 
@@ -247,37 +243,9 @@ export default class AppUpdater {
     }
   }
 
-  public async showUpdateDialog(mainWindow: BrowserWindow) {
-    if (!this.releaseInfo) {
-      return
-    }
-    const locale = locales[configManager.getLanguage()]
-    const { update: updateLocale } = locale.translation
-
-    let detail = this.formatReleaseNotes(this.releaseInfo.releaseNotes)
-    if (detail === '') {
-      detail = updateLocale.noReleaseNotes
-    }
-
-    dialog
-      .showMessageBox({
-        type: 'info',
-        title: updateLocale.title,
-        icon,
-        message: updateLocale.message.replace('{{version}}', this.releaseInfo.version),
-        detail,
-        buttons: [updateLocale.later, updateLocale.install],
-        defaultId: 1,
-        cancelId: 0
-      })
-      .then(({ response }) => {
-        if (response === 1) {
+  public quitAndInstall() {
     app.isQuitting = true
     setImmediate(() => autoUpdater.quitAndInstall())
-        } else {
-          mainWindow.webContents.send(IpcChannel.UpdateDownloadedCancelled)
-        }
-      })
   }
 
   /**
@@ -349,38 +317,9 @@ export default class AppUpdater {
 
     return processedInfo
   }
-
-  /**
-   * Format release notes for display
-   * @param releaseNotes - Release notes in various formats
-   * @returns Formatted string for display
-   */
-  private formatReleaseNotes(releaseNotes: string | ReleaseNoteInfo[] | null | undefined): string {
-    if (!releaseNotes) {
-      return ''
-    }
-
-    if (typeof releaseNotes === 'string') {
-      // Check if it contains multi-language markers
-      if (this.hasMultiLanguageMarkers(releaseNotes)) {
-        return this.parseMultiLangReleaseNotes(releaseNotes)
-      }
-      return releaseNotes
-    }
-
-    if (Array.isArray(releaseNotes)) {
-      return releaseNotes.map((note) => note.note).join('\n')
-    }
-
-    return ''
-  }
 }
 interface GithubReleaseInfo {
   draft: boolean
   prerelease: boolean
   tag_name: string
 }
-interface ReleaseNoteInfo {
-  readonly version: string
-  readonly note: string | null
-}

src/main/services/CodeToolsService.ts

@@ -31,7 +31,10 @@ interface VersionInfo {
 
 class CodeToolsService {
   private versionCache: Map<string, { version: string; timestamp: number }> = new Map()
-  private terminalsCache: { terminals: TerminalConfig[]; timestamp: number } | null = null
+  private terminalsCache: {
+    terminals: TerminalConfig[]
+    timestamp: number
+  } | null = null
   private customTerminalPaths: Map<string, string> = new Map() // Store user-configured terminal paths
   private readonly CACHE_DURATION = 1000 * 60 * 30 // 30 minutes cache
   private readonly TERMINALS_CACHE_DURATION = 1000 * 60 * 5 // 5 minutes cache for terminals
@@ -73,7 +76,7 @@ class CodeToolsService {
   public async getPackageName(cliTool: string) {
     switch (cliTool) {
       case codeTools.claudeCode:
-        return '@anthropic-ai/claude-agent-sdk'
+        return '@anthropic-ai/claude-code'
       case codeTools.geminiCli:
         return '@google/gemini-cli'
       case codeTools.openaiCodex:
@@ -82,6 +85,8 @@ class CodeToolsService {
         return '@qwen-code/qwen-code'
       case codeTools.iFlowCli:
         return '@iflow-ai/iflow-cli'
+      case codeTools.githubCopilotCli:
+        return '@github/copilot'
       default:
         throw new Error(`Unsupported CLI tool: ${cliTool}`)
     }
@@ -99,6 +104,8 @@ class CodeToolsService {
         return 'qwen'
       case codeTools.iFlowCli:
         return 'iflow'
+      case codeTools.githubCopilotCli:
+        return 'copilot'
       default:
         throw new Error(`Unsupported CLI tool: ${cliTool}`)
     }
@@ -144,7 +151,9 @@ class CodeToolsService {
         case terminalApps.powershell:
           // Check for PowerShell in PATH
           try {
-            await execAsync('powershell -Command "Get-Host"', { timeout: 3000 })
+            await execAsync('powershell -Command "Get-Host"', {
+              timeout: 3000
+            })
             return terminal
           } catch {
             try {
@@ -384,7 +393,9 @@ class CodeToolsService {
         const binDir = path.join(os.homedir(), '.cherrystudio', 'bin')
         const executablePath = path.join(binDir, executableName + (isWin ? '.exe' : ''))
 
-        const { stdout } = await execAsync(`"${executablePath}" --version`, { timeout: 10000 })
+        const { stdout } = await execAsync(`"${executablePath}" --version`, {
+          timeout: 10000
+        })
         // Extract version number from output (format may vary by tool)
         const versionMatch = stdout.trim().match(/\d+\.\d+\.\d+/)
         installedVersion = versionMatch ? versionMatch[0] : stdout.trim().split(' ')[0]
@@ -425,7 +436,10 @@ class CodeToolsService {
         logger.info(`${packageName} latest version: ${latestVersion}`)
 
         // Cache the result
-        this.versionCache.set(cacheKey, { version: latestVersion!, timestamp: now })
+        this.versionCache.set(cacheKey, {
+          version: latestVersion!,
+          timestamp: now
+        })
         logger.debug(`Cached latest version for ${packageName}`)
       } catch (error) {
         logger.warn(`Failed to get latest version for ${packageName}:`, error as Error)

src/main/services/KnowledgeService.ts

@@ -29,7 +29,7 @@ import Reranker from '@main/knowledge/reranker/Reranker'
 import { fileStorage } from '@main/services/FileStorage'
 import { windowService } from '@main/services/WindowService'
 import { getDataPath } from '@main/utils'
-import { getAllFiles } from '@main/utils/file'
+import { getAllFiles, sanitizeFilename } from '@main/utils/file'
 import { TraceMethod } from '@mcp-trace/trace-core'
 import { MB } from '@shared/config/constant'
 import type { LoaderReturn } from '@shared/config/types'
@@ -147,11 +147,16 @@ class KnowledgeService {
     }
   }
 
+  private getDbPath = (id: string): string => {
+    // 消除网络搜索requestI d中的特殊字符
+    return path.join(this.storageDir, sanitizeFilename(id, '_'))
+  }
+
   /**
    * Delete knowledge base file
    */
   private deleteKnowledgeFile = (id: string): boolean => {
-    const dbPath = path.join(this.storageDir, id)
+    const dbPath = this.getDbPath(id)
     if (fs.existsSync(dbPath)) {
       try {
         fs.rmSync(dbPath, { recursive: true })
@@ -244,7 +249,8 @@ class KnowledgeService {
       dimensions
     })
     try {
-      const libSqlDb = new LibSqlDb({ path: path.join(this.storageDir, id) })
+      const dbPath = this.getDbPath(id)
+      const libSqlDb = new LibSqlDb({ path: dbPath })
       // Save database instance for later closing
       this.dbInstances.set(id, libSqlDb)
 

src/main/services/ProxyManager.ts

@@ -4,6 +4,7 @@ import { app, ProxyConfig, session } from 'electron'
 import { socksDispatcher } from 'fetch-socks'
 import http from 'http'
 import https from 'https'
+import * as ipaddr from 'ipaddr.js'
 import { getSystemProxy } from 'os-proxy-config'
 import { ProxyAgent } from 'proxy-agent'
 import { Dispatcher, EnvHttpProxyAgent, getGlobalDispatcher, setGlobalDispatcher } from 'undici'
@@ -11,41 +12,293 @@ import { Dispatcher, EnvHttpProxyAgent, getGlobalDispatcher, setGlobalDispatcher
 const logger = loggerService.withContext('ProxyManager')
 let byPassRules: string[] = []
 
-const isByPass = (url: string) => {
-  if (byPassRules.length === 0) {
+type HostnameMatchType = 'exact' | 'wildcardSubdomain' | 'generalWildcard'
+
+const enum ProxyBypassRuleType {
+  Local = 'local',
+  Cidr = 'cidr',
+  Ip = 'ip',
+  Domain = 'domain'
+}
+
+interface ParsedProxyBypassRule {
+  type: ProxyBypassRuleType
+  matchType: HostnameMatchType
+  rule: string
+  scheme?: string
+  port?: string
+  domain?: string
+  regex?: RegExp
+  cidr?: [ipaddr.IPv4 | ipaddr.IPv6, number]
+  ip?: string
+}
+
+let parsedByPassRules: ParsedProxyBypassRule[] = []
+
+const getDefaultPortForProtocol = (protocol: string): string | null => {
+  switch (protocol.toLowerCase()) {
+    case 'http:':
+      return '80'
+    case 'https:':
+      return '443'
+    default:
+      return null
+  }
+}
+
+const buildWildcardRegex = (pattern: string): RegExp => {
+  const escapedSegments = pattern.split('*').map((segment) => segment.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'))
+  return new RegExp(`^${escapedSegments.join('.*')}$`, 'i')
+}
+
+const isWildcardIp = (value: string): boolean => {
+  if (!value.includes('*')) {
+    return false
+  }
+  const replaced = value.replace(/\*/g, '0')
+  return ipaddr.isValid(replaced)
+}
+
+const matchHostnameRule = (hostname: string, rule: ParsedProxyBypassRule): boolean => {
+  const normalizedHostname = hostname.toLowerCase()
+
+  switch (rule.matchType) {
+    case 'exact':
+      return normalizedHostname === rule.domain
+    case 'wildcardSubdomain': {
+      const domain = rule.domain
+      if (!domain) {
+        return false
+      }
+      return normalizedHostname === domain || normalizedHostname.endsWith(`.${domain}`)
+    }
+    case 'generalWildcard':
+      return rule.regex ? rule.regex.test(normalizedHostname) : false
+    default:
+      return false
+  }
+}
+
+const parseProxyBypassRule = (rule: string): ParsedProxyBypassRule | null => {
+  const trimmedRule = rule.trim()
+  if (!trimmedRule) {
+    return null
+  }
+
+  if (trimmedRule === '<local>') {
+    return {
+      type: ProxyBypassRuleType.Local,
+      matchType: 'exact',
+      rule: '<local>'
+    }
+  }
+
+  let workingRule = trimmedRule
+  let scheme: string | undefined
+  const schemeMatch = workingRule.match(/^([a-zA-Z][a-zA-Z\d+\-.]*):\/\//)
+  if (schemeMatch) {
+    scheme = schemeMatch[1].toLowerCase()
+    workingRule = workingRule.slice(schemeMatch[0].length)
+  }
+
+  // CIDR notation must be processed before port extraction
+  if (workingRule.includes('/')) {
+    const cleanedCidr = workingRule.replace(/^\[|\]$/g, '')
+    if (ipaddr.isValidCIDR(cleanedCidr)) {
+      return {
+        type: ProxyBypassRuleType.Cidr,
+        matchType: 'exact',
+        rule: workingRule,
+        scheme,
+        cidr: ipaddr.parseCIDR(cleanedCidr)
+      }
+    }
+  }
+
+  // Extract port: supports "host:port" and "[ipv6]:port" formats
+  let port: string | undefined
+  const portMatch = workingRule.match(/^(.+?):(\d+)$/)
+  if (portMatch) {
+    // For IPv6, ensure we're not splitting inside the brackets
+    const potentialHost = portMatch[1]
+    if (!potentialHost.startsWith('[') || potentialHost.includes(']')) {
+      workingRule = potentialHost
+      port = portMatch[2]
+    }
+  }
+
+  const cleanedHost = workingRule.replace(/^\[|\]$/g, '')
+  const normalizedHost = cleanedHost.toLowerCase()
+
+  if (!cleanedHost) {
+    return null
+  }
+
+  if (ipaddr.isValid(cleanedHost)) {
+    return {
+      type: ProxyBypassRuleType.Ip,
+      matchType: 'exact',
+      rule: cleanedHost,
+      scheme,
+      port,
+      ip: cleanedHost
+    }
+  }
+
+  if (isWildcardIp(cleanedHost)) {
+    const regexPattern = cleanedHost.replace(/\./g, '\\.').replace(/\*/g, '\\d+')
+    return {
+      type: ProxyBypassRuleType.Ip,
+      matchType: 'generalWildcard',
+      rule: cleanedHost,
+      scheme,
+      port,
+      regex: new RegExp(`^${regexPattern}$`)
+    }
+  }
+
+  if (workingRule.startsWith('*.')) {
+    const domain = normalizedHost.slice(2)
+    return {
+      type: ProxyBypassRuleType.Domain,
+      matchType: 'wildcardSubdomain',
+      rule: workingRule,
+      scheme,
+      port,
+      domain
+    }
+  }
+
+  if (workingRule.startsWith('.')) {
+    const domain = normalizedHost.slice(1)
+    return {
+      type: ProxyBypassRuleType.Domain,
+      matchType: 'wildcardSubdomain',
+      rule: workingRule,
+      scheme,
+      port,
+      domain
+    }
+  }
+
+  if (workingRule.includes('*')) {
+    return {
+      type: ProxyBypassRuleType.Domain,
+      matchType: 'generalWildcard',
+      rule: workingRule,
+      scheme,
+      port,
+      regex: buildWildcardRegex(normalizedHost)
+    }
+  }
+
+  return {
+    type: ProxyBypassRuleType.Domain,
+    matchType: 'exact',
+    rule: workingRule,
+    scheme,
+    port,
+    domain: normalizedHost
+  }
+}
+
+const isLocalHostname = (hostname: string): boolean => {
+  const normalized = hostname.toLowerCase()
+  if (normalized === 'localhost') {
+    return true
+  }
+
+  const cleaned = hostname.replace(/^\[|\]$/g, '')
+  if (ipaddr.isValid(cleaned)) {
+    const parsed = ipaddr.parse(cleaned)
+    return parsed.range() === 'loopback'
+  }
+
+  return false
+}
+
+export const updateByPassRules = (rules: string[]): void => {
+  byPassRules = rules
+  parsedByPassRules = []
+
+  for (const rule of rules) {
+    const parsedRule = parseProxyBypassRule(rule)
+    if (parsedRule) {
+      parsedByPassRules.push(parsedRule)
+    } else {
+      logger.warn(`Skipping invalid proxy bypass rule: ${rule}`)
+    }
+  }
+}
+
+export const isByPass = (url: string) => {
+  if (parsedByPassRules.length === 0) {
     return false
   }
 
   try {
-    const subjectUrlTokens = new URL(url)
-    for (const rule of byPassRules) {
-      const ruleMatch = rule.replace(/^(?<leadingDot>\.)/, '*').match(/^(?<hostname>.+?)(?::(?<port>\d+))?$/)
+    const parsedUrl = new URL(url)
+    const hostname = parsedUrl.hostname
+    const cleanedHostname = hostname.replace(/^\[|\]$/g, '')
+    const protocol = parsedUrl.protocol
+    const protocolName = protocol.replace(':', '').toLowerCase()
+    const defaultPort = getDefaultPortForProtocol(protocol)
+    const port = parsedUrl.port || defaultPort || ''
+    const hostnameIsIp = ipaddr.isValid(cleanedHostname)
 
-      if (!ruleMatch || !ruleMatch.groups) {
-        logger.warn('Failed to parse bypass rule:', { rule })
+    for (const rule of parsedByPassRules) {
+      if (rule.scheme && rule.scheme !== protocolName) {
         continue
       }
 
-      if (!ruleMatch.groups.hostname) {
+      if (rule.port && rule.port !== port) {
         continue
       }
 
-      const hostnameIsMatch = subjectUrlTokens.hostname === ruleMatch.groups.hostname
+      switch (rule.type) {
+        case ProxyBypassRuleType.Local:
+          if (isLocalHostname(hostname)) {
+            return true
+          }
+          break
+        case ProxyBypassRuleType.Ip:
+          if (!hostnameIsIp) {
+            break
+          }
 
-      if (
-        hostnameIsMatch &&
-        (!ruleMatch.groups ||
-          !ruleMatch.groups.port ||
-          (subjectUrlTokens.port && subjectUrlTokens.port === ruleMatch.groups.port))
-      ) {
+          if (rule.ip && cleanedHostname === rule.ip) {
+            return true
+          }
+
+          if (rule.regex && rule.regex.test(cleanedHostname)) {
+            return true
+          }
+          break
+        case ProxyBypassRuleType.Cidr:
+          if (hostnameIsIp && rule.cidr) {
+            const parsedHost = ipaddr.parse(cleanedHostname)
+            const [cidrAddress, prefixLength] = rule.cidr
+            // Ensure IP version matches before comparing
+            if (parsedHost.kind() === cidrAddress.kind() && parsedHost.match([cidrAddress, prefixLength])) {
               return true
             }
           }
-    return false
+          break
+        case ProxyBypassRuleType.Domain:
+          if (!hostnameIsIp && matchHostnameRule(hostname, rule)) {
+            return true
+          }
+          break
+        default:
+          logger.error(`Unknown proxy bypass rule type: ${rule.type}`)
+          break
+      }
+    }
   } catch (error) {
     logger.error('Failed to check bypass:', error as Error)
     return false
   }
+  return false
 }
 class SelectiveDispatcher extends Dispatcher {
   private proxyDispatcher: Dispatcher
@@ -154,19 +407,31 @@ export class ProxyManager {
     this.isSettingProxy = true
 
     try {
-      this.config = config
       this.clearSystemProxyMonitor()
       if (config.mode === 'system') {
         const currentProxy = await getSystemProxy()
         if (currentProxy) {
-          logger.info(`current system proxy: ${currentProxy.proxyUrl}`)
-          this.config.proxyRules = currentProxy.proxyUrl.toLowerCase()
+          logger.info(`current system proxy: ${currentProxy.proxyUrl}, bypass rules: ${currentProxy.noProxy.join(',')}`)
+          config.proxyRules = currentProxy.proxyUrl.toLowerCase()
+          config.proxyBypassRules = currentProxy.noProxy.join(',')
         }
         this.monitorSystemProxy()
       }
 
-      byPassRules = config.proxyBypassRules?.split(',') || []
-      this.setGlobalProxy(this.config)
+      // Support both semicolon and comma as separators
+      if (config.proxyBypassRules !== this.config.proxyBypassRules) {
+        const rawRules = config.proxyBypassRules
+          ? config.proxyBypassRules
+              .split(/[;,]/)
+              .map((rule) => rule.trim())
+              .filter((rule) => rule.length > 0)
+          : []
+
+        updateByPassRules(rawRules)
+      }
+
+      this.setGlobalProxy(config)
+      this.config = config
     } catch (error) {
       logger.error('Failed to config proxy:', error as Error)
       throw error

src/main/services/WebviewService.ts

@@ -1,4 +1,5 @@
-import { session, shell, webContents } from 'electron'
+import { IpcChannel } from '@shared/IpcChannel'
+import { app, session, shell, webContents } from 'electron'
 
 /**
  * init the useragent of the webview session
@@ -36,3 +37,66 @@ export function setOpenLinkExternal(webviewId: number, isExternal: boolean) {
     }
   })
 }
+
+const attachKeyboardHandler = (contents: Electron.WebContents) => {
+  if (contents.getType?.() !== 'webview') {
+    return
+  }
+
+  const handleBeforeInput = (event: Electron.Event, input: Electron.Input) => {
+    if (!input) {
+      return
+    }
+
+    const key = input.key?.toLowerCase()
+    if (!key) {
+      return
+    }
+
+    const isFindShortcut = (input.control || input.meta) && key === 'f'
+    const isEscape = key === 'escape'
+    const isEnter = key === 'enter'
+
+    if (!isFindShortcut && !isEscape && !isEnter) {
+      return
+    }
+
+    const host = contents.hostWebContents
+    if (!host || host.isDestroyed()) {
+      return
+    }
+
+    // Always prevent Cmd/Ctrl+F to override the guest page's native find dialog
+    if (isFindShortcut) {
+      event.preventDefault()
+    }
+
+    // Send the hotkey event to the renderer
+    // The renderer will decide whether to preventDefault for Escape and Enter
+    // based on whether the search bar is visible
+    host.send(IpcChannel.Webview_SearchHotkey, {
+      webviewId: contents.id,
+      key,
+      control: Boolean(input.control),
+      meta: Boolean(input.meta),
+      shift: Boolean(input.shift),
+      alt: Boolean(input.alt)
+    })
+  }
+
+  contents.on('before-input-event', handleBeforeInput)
+  contents.once('destroyed', () => {
+    contents.removeListener('before-input-event', handleBeforeInput)
+  })
+}
+
+export function initWebviewHotkeys() {
+  webContents.getAllWebContents().forEach((contents) => {
+    if (contents.isDestroyed()) return
+    attachKeyboardHandler(contents)
+  })
+
+  app.on('web-contents-created', (_, contents) => {
+    attachKeyboardHandler(contents)
+  })
+}

src/main/services/__tests__/AppUpdater.test.ts

@@ -274,46 +274,4 @@ describe('AppUpdater', () => {
       expect(result.releaseNotes).toBeNull()
     })
   })
-
-  describe('formatReleaseNotes', () => {
-    it('should format string release notes with markers', () => {
-      vi.mocked(configManager.getLanguage).mockReturnValue('en-US')
-      const notes = `<!--LANG:en-->English<!--LANG:zh-CN-->中文<!--LANG:END-->`
-
-      const result = (appUpdater as any).formatReleaseNotes(notes)
-
-      expect(result).toBe('English')
-    })
-
-    it('should format string release notes without markers', () => {
-      const notes = 'Simple notes'
-
-      const result = (appUpdater as any).formatReleaseNotes(notes)
-
-      expect(result).toBe('Simple notes')
-    })
-
-    it('should format array release notes', () => {
-      const notes = [
-        { version: '1.0.0', note: 'Note 1' },
-        { version: '1.0.1', note: 'Note 2' }
-      ]
-
-      const result = (appUpdater as any).formatReleaseNotes(notes)
-
-      expect(result).toBe('Note 1\nNote 2')
-    })
-
-    it('should handle null release notes', () => {
-      const result = (appUpdater as any).formatReleaseNotes(null)
-
-      expect(result).toBe('')
-    })
-
-    it('should handle undefined release notes', () => {
-      const result = (appUpdater as any).formatReleaseNotes(undefined)
-
-      expect(result).toBe('')
-    })
-  })
 })

src/main/services/__tests__/ProxyManager.test.ts

@@ -0,0 +1,86 @@
+import { beforeEach, describe, expect, it } from 'vitest'
+
+import { isByPass, updateByPassRules } from '../ProxyManager'
+
+describe('ProxyManager - bypass evaluation', () => {
+  beforeEach(() => {
+    updateByPassRules([])
+  })
+
+  it('matches simple hostname patterns', () => {
+    updateByPassRules(['foobar.com'])
+    expect(isByPass('http://foobar.com')).toBe(true)
+    expect(isByPass('http://www.foobar.com')).toBe(false)
+
+    updateByPassRules(['*.foobar.com'])
+    expect(isByPass('http://api.foobar.com')).toBe(true)
+    expect(isByPass('http://foobar.com')).toBe(true)
+    expect(isByPass('http://foobar.org')).toBe(false)
+
+    updateByPassRules(['*foobar.com'])
+    expect(isByPass('http://devfoobar.com')).toBe(true)
+    expect(isByPass('http://foobar.com')).toBe(true)
+    expect(isByPass('http://foobar.company')).toBe(false)
+  })
+
+  it('matches hostname patterns with scheme and port qualifiers', () => {
+    updateByPassRules(['https://secure.example.com'])
+    expect(isByPass('https://secure.example.com')).toBe(true)
+    expect(isByPass('https://secure.example.com:443/home')).toBe(true)
+    expect(isByPass('http://secure.example.com')).toBe(false)
+
+    updateByPassRules(['https://secure.example.com:8443'])
+    expect(isByPass('https://secure.example.com:8443')).toBe(true)
+    expect(isByPass('https://secure.example.com')).toBe(false)
+    expect(isByPass('https://secure.example.com:443')).toBe(false)
+
+    updateByPassRules(['https://x.*.y.com:99'])
+    expect(isByPass('https://x.api.y.com:99')).toBe(true)
+    expect(isByPass('https://x.api.y.com')).toBe(false)
+    expect(isByPass('http://x.api.y.com:99')).toBe(false)
+  })
+
+  it('matches domain suffix patterns with leading dot', () => {
+    updateByPassRules(['.example.com'])
+    expect(isByPass('https://example.com')).toBe(true)
+    expect(isByPass('https://api.example.com')).toBe(true)
+    expect(isByPass('https://deep.api.example.com')).toBe(true)
+    expect(isByPass('https://example.org')).toBe(false)
+
+    updateByPassRules(['.com'])
+    expect(isByPass('https://anything.com')).toBe(true)
+    expect(isByPass('https://example.org')).toBe(false)
+
+    updateByPassRules(['http://.google.com'])
+    expect(isByPass('http://maps.google.com')).toBe(true)
+    expect(isByPass('https://maps.google.com')).toBe(false)
+  })
+
+  it('matches IP literals, CIDR ranges, and wildcard IPs', () => {
+    updateByPassRules(['127.0.0.1', '[::1]', '192.168.1.0/24', 'fefe:13::abc/33', '192.168.*.*'])
+
+    expect(isByPass('http://127.0.0.1')).toBe(true)
+    expect(isByPass('http://[::1]')).toBe(true)
+    expect(isByPass('http://192.168.1.55')).toBe(true)
+    expect(isByPass('http://192.168.200.200')).toBe(true)
+    expect(isByPass('http://192.169.1.1')).toBe(false)
+    expect(isByPass('http://[fefe:13::abc]')).toBe(true)
+  })
+
+  it('matches CIDR ranges specified with IPv6 prefix lengths', () => {
+    updateByPassRules(['[2001:db8::1]', '2001:db8::/32'])
+
+    expect(isByPass('http://[2001:db8::1]')).toBe(true)
+    expect(isByPass('http://[2001:db8:0:0:0:0:0:ffff]')).toBe(true)
+    expect(isByPass('http://[2001:db9::1]')).toBe(false)
+  })
+
+  it('matches local addresses when <local> keyword is provided', () => {
+    updateByPassRules(['<local>'])
+
+    expect(isByPass('http://localhost')).toBe(true)
+    expect(isByPass('http://127.0.0.1')).toBe(true)
+    expect(isByPass('http://[::1]')).toBe(true)
+    expect(isByPass('http://dev.localdomain')).toBe(false)
+  })
+})

src/main/services/agents/AGENT_MESSAGE_ARCHITECTURE.md

@@ -1,341 +0,0 @@
-# Agent Message Architecture Design Document
-
-## Overview
-
-This document describes the architecture for handling agent messages in Cherry Studio, including how agent-specific messages are generated, transformed to AI SDK format, stored, and sent to the UI. The system is designed to be agent-agnostic, allowing multiple agent types (Claude Code, OpenAI, etc.) to integrate seamlessly.
-
-## Core Design Principles
-
-1. **Agent Agnosticism**: The core message handling system should work with any agent type without modification
-2. **Data Preservation**: All raw agent data must be preserved alongside transformed UI-friendly formats
-3. **Streaming First**: Support real-time streaming of agent responses to the UI
-4. **Type Safety**: Strong TypeScript interfaces ensure consistency across the pipeline
-
-## Architecture Components
-
-### 1. Agent Service Layer
-
-Each agent (e.g., ClaudeCodeService) implements the `AgentServiceInterface`:
-
-```typescript
-interface AgentServiceInterface {
-  invoke(prompt: string, cwd: string, sessionId?: string, options?: any): AgentStream
-}
-```
-
-#### Responsibilities:
-- Spawn and manage agent-specific processes (e.g., Claude Code CLI)
-- Parse agent-specific output formats (e.g., SDKMessage for Claude Code)
-- Transform agent messages to AI SDK format
-- Emit standardized `AgentStreamEvent` objects
-
-### 2. Agent Stream Events
-
-The standardized event interface that all agents emit:
-
-```typescript
-interface AgentStreamEvent {
-  type: 'chunk' | 'error' | 'complete'
-  chunk?: UIMessageChunk              // AI SDK format for UI
-  rawAgentMessage?: any               // Agent-specific raw message
-  error?: Error
-  agentResult?: any                   // Complete agent-specific result
-}
-```
-
-### 3. Session Message Service
-
-The `SessionMessageService` acts as the orchestration layer:
-
-#### Responsibilities:
-- Manages session lifecycle and persistence
-- Collects streaming chunks and raw agent messages
-- Stores structured data in the database
-- Forwards events to the API layer
-
-### 4. Database Storage
-
-Session messages are stored with complete structured data:
-
-```typescript
-interface SessionMessageContent {
-  aiSDKChunks: UIMessageChunk[]      // UI-friendly format
-  rawAgentMessages: any[]            // Original agent messages
-  agentResult?: any                  // Complete agent result
-  agentType: string                  // Agent identifier
-}
-```
-
-## Data Flow
-
-```mermaid
-graph TD
-    A[User Input] --> B[API Handler]
-    B --> C[SessionMessageService]
-    C --> D[Agent Service]
-    D --> E[Agent Process]
-    E --> F[Raw Agent Output]
-    F --> G[Transform to AI SDK]
-    G --> H[Emit AgentStreamEvent]
-    H --> I[SessionMessageService]
-    I --> J[Store in Database]
-    I --> K[Forward to Client]
-    K --> L[UI Rendering]
-```
-
-## Message Transformation Process
-
-### Step 1: Raw Agent Message Generation
-
-Each agent generates messages in its native format:
-
-**Claude Code Example:**
-```typescript
-// SDKMessage from Claude Code CLI
-{
-  type: 'assistant',
-  uuid: 'msg_123',
-  session_id: 'session_456',
-  message: {
-    role: 'assistant',
-    content: [
-      { type: 'text', text: 'Hello, I can help...' },
-      { type: 'tool_use', id: 'tool_1', name: 'read_file', input: {...} }
-    ]
-  }
-}
-```
-
-### Step 2: Transformation to AI SDK Format
-
-The agent service transforms native messages to AI SDK `UIMessageChunk`:
-
-```typescript
-// In ClaudeCodeService
-const emitChunks = (sdkMessage: SDKMessage) => {
-  // Transform to AI SDK format
-  const chunks = transformSDKMessageToUIChunk(sdkMessage)
-
-  for (const chunk of chunks) {
-    stream.emit('data', {
-      type: 'chunk',
-      chunk,                        // AI SDK format
-      rawAgentMessage: sdkMessage   // Preserve original
-    })
-  }
-}
-```
-
-**Transformed AI SDK Chunk:**
-```typescript
-{
-  type: 'text-delta',
-  id: 'msg_123',
-  delta: 'Hello, I can help...',
-  providerMetadata: {
-    claudeCode: {
-      originalSDKMessage: {...},
-      uuid: 'msg_123',
-      session_id: 'session_456'
-    }
-  }
-}
-```
-
-### Step 3: Session Message Processing
-
-The SessionMessageService collects and processes events:
-
-```typescript
-// Collect streaming data
-const streamedChunks: UIMessageChunk[] = []
-const rawAgentMessages: any[] = []
-
-claudeStream.on('data', async (event: AgentStreamEvent) => {
-  switch (event.type) {
-    case 'chunk':
-      streamedChunks.push(event.chunk)
-      if (event.rawAgentMessage) {
-        rawAgentMessages.push(event.rawAgentMessage)
-      }
-      // Forward to client
-      sessionStream.emit('data', { type: 'chunk', chunk: event.chunk })
-      break
-
-    case 'complete':
-      // Store complete structured data
-      const content = {
-        aiSDKChunks: streamedChunks,
-        rawAgentMessages: rawAgentMessages,
-        agentResult: event.agentResult,
-        agentType: event.agentResult?.agentType || 'unknown'
-      }
-      // Save to database...
-      break
-  }
-})
-```
-
-### Step 4: Client Streaming
-
-The API handler converts events to Server-Sent Events (SSE):
-
-```typescript
-// In API handler
-messageStream.on('data', (event: any) => {
-  switch (event.type) {
-    case 'chunk':
-      // Send AI SDK chunk as SSE
-      res.write(`data: ${JSON.stringify(event.chunk)}\n\n`)
-      break
-    case 'complete':
-      res.write('data: [DONE]\n\n')
-      res.end()
-      break
-  }
-})
-```
-
-## Adding New Agent Types
-
-To add support for a new agent (e.g., OpenAI):
-
-### 1. Create Agent Service
-
-```typescript
-class OpenAIService implements AgentServiceInterface {
-  invokeStream(prompt: string, cwd: string, sessionId?: string, options?: any): AgentStream {
-    const stream = new OpenAIStream()
-
-    // Call OpenAI API
-    const openaiResponse = await openai.chat.completions.create({
-      messages: [{ role: 'user', content: prompt }],
-      stream: true
-    })
-
-    // Transform OpenAI format to AI SDK
-    for await (const chunk of openaiResponse) {
-      const aiSDKChunk = transformOpenAIToAISDK(chunk)
-      stream.emit('data', {
-        type: 'chunk',
-        chunk: aiSDKChunk,
-        rawAgentMessage: chunk  // Preserve OpenAI format
-      })
-    }
-
-    return stream
-  }
-}
-```
-
-### 2. Create Transform Function
-
-```typescript
-function transformOpenAIToAISDK(openaiChunk: OpenAIChunk): UIMessageChunk {
-  return {
-    type: 'text-delta',
-    id: openaiChunk.id,
-    delta: openaiChunk.choices[0].delta.content,
-    providerMetadata: {
-      openai: {
-        original: openaiChunk,
-        model: openaiChunk.model
-      }
-    }
-  }
-}
-```
-
-### 3. Register Agent Type
-
-Update the agent type enum and factory:
-
-```typescript
-export type AgentType = 'claude-code' | 'openai' | 'anthropic-api'
-
-function createAgentService(type: AgentType): AgentServiceInterface {
-  switch (type) {
-    case 'claude-code':
-      return new ClaudeCodeService()
-    case 'openai':
-      return new OpenAIService()
-    // ...
-  }
-}
-```
-
-## Benefits of This Architecture
-
-1. **Extensibility**: Easy to add new agent types without modifying core logic
-2. **Data Integrity**: Raw agent data is never lost during transformation
-3. **Debugging**: Complete message history available for troubleshooting
-4. **Performance**: Streaming support for real-time responses
-5. **Type Safety**: Strong interfaces prevent runtime errors
-6. **UI Consistency**: All agents provide data in standard AI SDK format
-
-## Key Interfaces Reference
-
-### AgentStreamEvent
-```typescript
-interface AgentStreamEvent {
-  type: 'chunk' | 'error' | 'complete'
-  chunk?: UIMessageChunk
-  rawAgentMessage?: any
-  error?: Error
-  agentResult?: any
-}
-```
-
-### SessionMessageEntity
-```typescript
-interface SessionMessageEntity {
-  id: number
-  session_id: string
-  parent_id?: number
-  role: 'user' | 'assistant' | 'system' | 'tool'
-  type: string
-  content: string | SessionMessageContent
-  metadata?: Record<string, any>
-  created_at: string
-  updated_at: string
-}
-```
-
-### SessionMessageContent
-```typescript
-interface SessionMessageContent {
-  aiSDKChunks: UIMessageChunk[]
-  rawAgentMessages: any[]
-  agentResult?: any
-  agentType: string
-}
-```
-
-## Testing Strategy
-
-### Unit Tests
-- Test each transform function independently
-- Verify event emission sequences
-- Validate data structure preservation
-
-### Integration Tests
-- Test complete flow from input to database
-- Verify streaming behavior
-- Test error handling and recovery
-
-### Agent-Specific Tests
-- Validate agent-specific transformations
-- Test edge cases for each agent type
-- Verify metadata preservation
-
-## Future Enhancements
-
-1. **Message Replay**: Ability to replay sessions from stored raw messages
-2. **Format Migration**: Tools to migrate between agent formats
-3. **Analytics**: Aggregate metrics from raw agent data
-4. **Caching**: Cache transformed chunks for performance
-5. **Compression**: Compress raw messages for storage efficiency
-
-## Conclusion
-
-This architecture provides a robust, extensible foundation for handling messages from multiple AI agents while maintaining data integrity and providing a consistent interface for the UI. The separation of concerns between agent-specific logic and core message handling ensures the system can evolve to support new agents and features without breaking existing functionality.

src/main/services/agents/services/AgentService.ts

@@ -11,7 +11,7 @@ import {
   UpdateAgentRequest,
   UpdateAgentResponse
 } from '@types'
-import { count, eq } from 'drizzle-orm'
+import { asc, count, desc, eq } from 'drizzle-orm'
 
 import { BaseService } from '../BaseService'
 import { type AgentRow, agentsTable, type InsertAgentRow } from '../database/schema'
@@ -100,7 +100,13 @@ export class AgentService extends BaseService {
 
     const totalResult = await this.database.select({ count: count() }).from(agentsTable)
 
-    const baseQuery = this.database.select().from(agentsTable).orderBy(agentsTable.created_at)
+    const sortBy = options.sortBy || 'created_at'
+    const orderBy = options.orderBy || 'desc'
+
+    const sortField = agentsTable[sortBy]
+    const orderFn = orderBy === 'asc' ? asc : desc
+
+    const baseQuery = this.database.select().from(agentsTable).orderBy(orderFn(sortField))
 
     const result =
       options.limit !== undefined

src/main/services/agents/services/claudecode/index.ts

@@ -84,9 +84,13 @@ class ClaudeCodeService implements AgentServiceInterface {
 
     const env = {
       ...loginShellEnvWithoutProxies,
-      ANTHROPIC_API_KEY: apiConfig.apiKey,
-      ANTHROPIC_AUTH_TOKEN: apiConfig.apiKey,
-      ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
+      // TODO: fix the proxy api server
+      // ANTHROPIC_API_KEY: apiConfig.apiKey,
+      // ANTHROPIC_AUTH_TOKEN: apiConfig.apiKey,
+      // ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
+      ANTHROPIC_API_KEY: modelInfo.provider.apiKey,
+      ANTHROPIC_AUTH_TOKEN: modelInfo.provider.apiKey,
+      ANTHROPIC_BASE_URL: modelInfo.provider.anthropicApiHost?.trim() || modelInfo.provider.apiHost,
       ANTHROPIC_MODEL: modelInfo.modelId,
       ANTHROPIC_SMALL_FAST_MODEL: modelInfo.modelId,
       ELECTRON_RUN_AS_NODE: '1',
@@ -106,7 +110,13 @@ class ClaudeCodeService implements AgentServiceInterface {
         logger.warn('claude stderr', { chunk })
         errorChunks.push(chunk)
       },
-      systemPrompt: session.instructions ? session.instructions : { type: 'preset', preset: 'claude_code' },
+      systemPrompt: session.instructions
+        ? {
+            type: 'preset',
+            preset: 'claude_code',
+            append: session.instructions
+          }
+        : { type: 'preset', preset: 'claude_code' },
       settingSources: ['project'],
       includePartialMessages: true,
       permissionMode: session.configuration?.permission_mode,
@@ -136,6 +146,8 @@ class ClaudeCodeService implements AgentServiceInterface {
 
     if (lastAgentSessionId) {
       options.resume = lastAgentSessionId
+      // TODO: use fork session when we support branching sessions
+      // options.forkSession = true
     }
 
     logger.info('Starting Claude Code SDK query', {

src/main/services/mcp/oauth/types.ts

@@ -4,7 +4,7 @@ import {
   OAuthTokens
 } from '@modelcontextprotocol/sdk/shared/auth.js'
 import EventEmitter from 'events'
-import { z } from 'zod'
+import * as z from 'zod'
 
 export interface OAuthStorageData {
   clientInfo?: OAuthClientInformation

src/main/services/ocr/OcrService.ts

@@ -2,6 +2,7 @@ import { loggerService } from '@logger'
 import { isLinux } from '@main/constant'
 import { BuiltinOcrProviderIds, OcrHandler, OcrProvider, OcrResult, SupportedOcrFile } from '@types'
 
+import { ovOcrService } from './builtin/OvOcrService'
 import { ppocrService } from './builtin/PpocrService'
 import { systemOcrService } from './builtin/SystemOcrService'
 import { tesseractService } from './builtin/TesseractService'
@@ -22,6 +23,10 @@ export class OcrService {
     this.registry.delete(providerId)
   }
 
+  public listProviderIds(): string[] {
+    return Array.from(this.registry.keys())
+  }
+
   public async ocr(file: SupportedOcrFile, provider: OcrProvider): Promise<OcrResult> {
     const handler = this.registry.get(provider.id)
     if (!handler) {
@@ -39,3 +44,5 @@ ocrService.register(BuiltinOcrProviderIds.tesseract, tesseractService.ocr.bind(t
 !isLinux && ocrService.register(BuiltinOcrProviderIds.system, systemOcrService.ocr.bind(systemOcrService))
 
 ocrService.register(BuiltinOcrProviderIds.paddleocr, ppocrService.ocr.bind(ppocrService))
+
+ovOcrService.isAvailable() && ocrService.register(BuiltinOcrProviderIds.ovocr, ovOcrService.ocr.bind(ovOcrService))

src/main/services/ocr/builtin/OvOcrService.ts

@@ -0,0 +1,128 @@
+import { loggerService } from '@logger'
+import { isWin } from '@main/constant'
+import { isImageFileMetadata, OcrOvConfig, OcrResult, SupportedOcrFile } from '@types'
+import { exec } from 'child_process'
+import * as fs from 'fs'
+import * as os from 'os'
+import * as path from 'path'
+import { promisify } from 'util'
+
+import { OcrBaseService } from './OcrBaseService'
+
+const logger = loggerService.withContext('OvOcrService')
+const execAsync = promisify(exec)
+
+const PATH_BAT_FILE = path.join(os.homedir(), '.cherrystudio', 'ovms', 'ovocr', 'run.npu.bat')
+
+export class OvOcrService extends OcrBaseService {
+  constructor() {
+    super()
+  }
+
+  public isAvailable(): boolean {
+    return (
+      isWin &&
+      os.cpus()[0].model.toLowerCase().includes('intel') &&
+      os.cpus()[0].model.toLowerCase().includes('ultra') &&
+      fs.existsSync(PATH_BAT_FILE)
+    )
+  }
+
+  private getOvOcrPath(): string {
+    return path.join(os.homedir(), '.cherrystudio', 'ovms', 'ovocr')
+  }
+
+  private getImgDir(): string {
+    return path.join(this.getOvOcrPath(), 'img')
+  }
+
+  private getOutputDir(): string {
+    return path.join(this.getOvOcrPath(), 'output')
+  }
+
+  private async clearDirectory(dirPath: string): Promise<void> {
+    if (fs.existsSync(dirPath)) {
+      const files = await fs.promises.readdir(dirPath)
+      for (const file of files) {
+        const filePath = path.join(dirPath, file)
+        const stats = await fs.promises.stat(filePath)
+        if (stats.isDirectory()) {
+          await this.clearDirectory(filePath)
+          await fs.promises.rmdir(filePath)
+        } else {
+          await fs.promises.unlink(filePath)
+        }
+      }
+    } else {
+      // If the directory does not exist, create it
+      await fs.promises.mkdir(dirPath, { recursive: true })
+    }
+  }
+
+  private async copyFileToImgDir(sourceFilePath: string, targetFileName: string): Promise<void> {
+    const imgDir = this.getImgDir()
+    const targetFilePath = path.join(imgDir, targetFileName)
+    await fs.promises.copyFile(sourceFilePath, targetFilePath)
+  }
+
+  private async runOcrBatch(): Promise<void> {
+    const ovOcrPath = this.getOvOcrPath()
+
+    try {
+      // Execute run.bat in the ov-ocr directory
+      await execAsync(`"${PATH_BAT_FILE}"`, {
+        cwd: ovOcrPath,
+        timeout: 60000 // 60 second timeout
+      })
+    } catch (error) {
+      logger.error(`Error running ovocr batch: ${error}`)
+      throw new Error(`Failed to run OCR batch: ${error}`)
+    }
+  }
+
+  private async ocrImage(filePath: string, options?: OcrOvConfig): Promise<OcrResult> {
+    logger.info(`OV OCR called on ${filePath} with options ${JSON.stringify(options)}`)
+
+    try {
+      // 1. Clear img directory and output directory
+      await this.clearDirectory(this.getImgDir())
+      await this.clearDirectory(this.getOutputDir())
+
+      // 2. Copy file to img directory
+      const fileName = path.basename(filePath)
+      await this.copyFileToImgDir(filePath, fileName)
+      logger.info(`File copied to img directory: ${fileName}`)
+
+      // 3. Run run.bat
+      logger.info('Running OV OCR batch process...')
+      await this.runOcrBatch()
+
+      // 4. Check that output/[basename].txt file exists
+      const baseNameWithoutExt = path.basename(fileName, path.extname(fileName))
+      const outputFilePath = path.join(this.getOutputDir(), `${baseNameWithoutExt}.txt`)
+      if (!fs.existsSync(outputFilePath)) {
+        throw new Error(`OV OCR output file not found at: ${outputFilePath}`)
+      }
+
+      // 5. Read output/[basename].txt file content
+      const ocrText = await fs.promises.readFile(outputFilePath, 'utf-8')
+      logger.info(`OV OCR text extracted: ${ocrText.substring(0, 100)}...`)
+
+      // 6. Return result
+      return { text: ocrText }
+    } catch (error) {
+      logger.error(`Error during OV OCR process: ${error}`)
+      throw error
+    }
+  }
+
+  public ocr = async (file: SupportedOcrFile, options?: OcrOvConfig): Promise<OcrResult> => {
+    if (isImageFileMetadata(file)) {
+      return this.ocrImage(file.path, options)
+    } else {
+      throw new Error('Unsupported file type, currently only image files are supported')
+    }
+  }
+}
+
+export const ovOcrService = new OvOcrService()

src/main/services/ocr/builtin/PpocrService.ts

@@ -1,7 +1,7 @@
 import { loadOcrImage } from '@main/utils/ocr'
 import { ImageFileMetadata, isImageFileMetadata, OcrPpocrConfig, OcrResult, SupportedOcrFile } from '@types'
 import { net } from 'electron'
-import { z } from 'zod'
+import * as z from 'zod'
 
 import { OcrBaseService } from './OcrBaseService'
 

src/main/services/remotefile/OpenAIService.ts

@@ -1,8 +1,8 @@
+import OpenAI from '@cherrystudio/openai'
 import { loggerService } from '@logger'
 import { fileStorage } from '@main/services/FileStorage'
 import { FileListResponse, FileMetadata, FileUploadResponse, Provider } from '@types'
 import * as fs from 'fs'
-import OpenAI from 'openai'
 
 import { CacheService } from '../CacheService'
 import { BaseFileService } from './BaseFileService'

src/main/utils/locales.ts

@@ -2,6 +2,7 @@ import EnUs from '../../renderer/src/i18n/locales/en-us.json'
 import ZhCn from '../../renderer/src/i18n/locales/zh-cn.json'
 import ZhTw from '../../renderer/src/i18n/locales/zh-tw.json'
 // Machine translation
+import deDE from '../../renderer/src/i18n/translate/de-de.json'
 import elGR from '../../renderer/src/i18n/translate/el-gr.json'
 import esES from '../../renderer/src/i18n/translate/es-es.json'
 import frFR from '../../renderer/src/i18n/translate/fr-fr.json'
@@ -16,6 +17,7 @@ const locales = Object.fromEntries(
     ['zh-TW', ZhTw],
     ['ja-JP', JaJP],
     ['ru-RU', RuRu],
+    ['de-DE', deDE],
     ['el-GR', elGR],
     ['es-ES', esES],
     ['fr-FR', frFR],

src/preload/index.ts

@@ -3,7 +3,7 @@ import { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
 import { SpanContext } from '@opentelemetry/api'
 import { TerminalConfig, UpgradeChannel } from '@shared/config/constant'
 import type { LogLevel, LogSourceWithContext } from '@shared/config/logger'
-import type { FileChangeEvent } from '@shared/config/types'
+import type { FileChangeEvent, WebviewKeyEvent } from '@shared/config/types'
 import { IpcChannel } from '@shared/IpcChannel'
 import type { Notification } from '@types'
 import {
@@ -12,6 +12,7 @@ import {
   FileListResponse,
   FileMetadata,
   FileUploadResponse,
+  GetApiServerStatusResult,
   KnowledgeBaseParams,
   KnowledgeItem,
   KnowledgeSearchResult,
@@ -22,8 +23,11 @@ import {
   OcrProvider,
   OcrResult,
   Provider,
+  RestartApiServerStatusResult,
   S3Config,
   Shortcut,
+  StartApiServerStatusResult,
+  StopApiServerStatusResult,
   SupportedOcrFile,
   ThemeMode,
   WebDavConfig
@@ -51,7 +55,7 @@ const api = {
   setProxy: (proxy: string | undefined, bypassRules?: string) =>
     ipcRenderer.invoke(IpcChannel.App_Proxy, proxy, bypassRules),
   checkForUpdate: () => ipcRenderer.invoke(IpcChannel.App_CheckForUpdate),
-  showUpdateDialog: () => ipcRenderer.invoke(IpcChannel.App_ShowUpdateDialog),
+  quitAndInstall: () => ipcRenderer.invoke(IpcChannel.App_QuitAndInstall),
   setLanguage: (lang: string) => ipcRenderer.invoke(IpcChannel.App_SetLanguage, lang),
   setEnableSpellCheck: (isEnable: boolean) => ipcRenderer.invoke(IpcChannel.App_SetEnableSpellCheck, isEnable),
   setSpellCheckLanguages: (languages: string[]) => ipcRenderer.invoke(IpcChannel.App_SetSpellCheckLanguages, languages),
@@ -223,7 +227,7 @@ const api = {
     create: (base: KnowledgeBaseParams, context?: SpanContext) =>
       tracedInvoke(IpcChannel.KnowledgeBase_Create, context, base),
     reset: (base: KnowledgeBaseParams) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Reset, base),
-    delete: (base: KnowledgeBaseParams, id: string) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Delete, base, id),
+    delete: (id: string) => ipcRenderer.invoke(IpcChannel.KnowledgeBase_Delete, id),
     add: ({
       base,
       item,
@@ -390,7 +394,16 @@ const api = {
     setOpenLinkExternal: (webviewId: number, isExternal: boolean) =>
       ipcRenderer.invoke(IpcChannel.Webview_SetOpenLinkExternal, webviewId, isExternal),
     setSpellCheckEnabled: (webviewId: number, isEnable: boolean) =>
-      ipcRenderer.invoke(IpcChannel.Webview_SetSpellCheckEnabled, webviewId, isEnable)
+      ipcRenderer.invoke(IpcChannel.Webview_SetSpellCheckEnabled, webviewId, isEnable),
+    onFindShortcut: (callback: (payload: WebviewKeyEvent) => void) => {
+      const listener = (_event: Electron.IpcRendererEvent, payload: WebviewKeyEvent) => {
+        callback(payload)
+      }
+      ipcRenderer.on(IpcChannel.Webview_SearchHotkey, listener)
+      return () => {
+        ipcRenderer.off(IpcChannel.Webview_SearchHotkey, listener)
+      }
+    }
   },
   storeSync: {
     subscribe: () => ipcRenderer.invoke(IpcChannel.StoreSync_Subscribe),
@@ -467,7 +480,8 @@ const api = {
   },
   ocr: {
     ocr: (file: SupportedOcrFile, provider: OcrProvider): Promise<OcrResult> =>
-      ipcRenderer.invoke(IpcChannel.OCR_ocr, file, provider)
+      ipcRenderer.invoke(IpcChannel.OCR_ocr, file, provider),
+    listProviders: (): Promise<string[]> => ipcRenderer.invoke(IpcChannel.OCR_ListProviders)
   },
   cherryai: {
     generateSignature: (params: { method: string; path: string; query: string; body: Record<string, any> }) =>
@@ -487,6 +501,12 @@ const api = {
         ipcRenderer.removeListener(channel, listener)
       }
     }
+  },
+  apiServer: {
+    getStatus: (): Promise<GetApiServerStatusResult> => ipcRenderer.invoke(IpcChannel.ApiServer_GetStatus),
+    start: (): Promise<StartApiServerStatusResult> => ipcRenderer.invoke(IpcChannel.ApiServer_Start),
+    restart: (): Promise<RestartApiServerStatusResult> => ipcRenderer.invoke(IpcChannel.ApiServer_Restart),
+    stop: (): Promise<StopApiServerStatusResult> => ipcRenderer.invoke(IpcChannel.ApiServer_Stop)
   }
 }
 

src/renderer/src/aiCore/chunk/AiSdkToChunkAdapter.ts

@@ -6,9 +6,11 @@
 import { loggerService } from '@logger'
 import { AISDKWebSearchResult, MCPTool, WebSearchResults, WebSearchSource } from '@renderer/types'
 import { Chunk, ChunkType } from '@renderer/types/chunk'
+import { ProviderSpecificError } from '@renderer/types/provider-specific-error'
+import { formatErrorMessage } from '@renderer/utils/error'
 import { convertLinks, flushLinkConverterBuffer } from '@renderer/utils/linkConverter'
 import type { ClaudeCodeRawValue } from '@shared/agents/claudecode/types'
-import type { TextStreamPart, ToolSet } from 'ai'
+import { AISDKError, type TextStreamPart, type ToolSet } from 'ai'
 
 import { ToolCallChunkHandler } from './handleToolCallChunk'
 
@@ -24,6 +26,8 @@ export class AiSdkToChunkAdapter {
   private isFirstChunk = true
   private enableWebSearch: boolean = false
   private onSessionUpdate?: (sessionId: string) => void
+  private responseStartTimestamp: number | null = null
+  private firstTokenTimestamp: number | null = null
 
   constructor(
     private onChunk: (chunk: Chunk) => void,
@@ -38,6 +42,17 @@ export class AiSdkToChunkAdapter {
     this.onSessionUpdate = onSessionUpdate
   }
 
+  private markFirstTokenIfNeeded() {
+    if (this.firstTokenTimestamp === null && this.responseStartTimestamp !== null) {
+      this.firstTokenTimestamp = Date.now()
+    }
+  }
+
+  private resetTimingState() {
+    this.responseStartTimestamp = null
+    this.firstTokenTimestamp = null
+  }
+
   /**
    * 处理 AI SDK 流结果
    * @param aiSdkResult AI SDK 的流结果对象
@@ -65,6 +80,8 @@ export class AiSdkToChunkAdapter {
       webSearchResults: [],
       reasoningId: ''
     }
+    this.resetTimingState()
+    this.responseStartTimestamp = Date.now()
     // Reset link converter state at the start of stream
     this.isFirstChunk = true
 
@@ -77,6 +94,7 @@ export class AiSdkToChunkAdapter {
           if (this.enableWebSearch) {
             const remainingText = flushLinkConverterBuffer()
             if (remainingText) {
+              this.markFirstTokenIfNeeded()
               this.onChunk({
                 type: ChunkType.TEXT_DELTA,
                 text: remainingText
@@ -91,6 +109,7 @@ export class AiSdkToChunkAdapter {
       }
     } finally {
       reader.releaseLock()
+      this.resetTimingState()
     }
   }
 
@@ -152,6 +171,7 @@ export class AiSdkToChunkAdapter {
 
         // Only emit chunk if there's text to send
         if (finalText) {
+          this.markFirstTokenIfNeeded()
           this.onChunk({
             type: ChunkType.TEXT_DELTA,
             text: this.accumulate ? final.text : finalText
@@ -176,6 +196,9 @@ export class AiSdkToChunkAdapter {
         break
       case 'reasoning-delta':
         final.reasoningContent += chunk.text || ''
+        if (chunk.text) {
+          this.markFirstTokenIfNeeded()
+        }
         this.onChunk({
           type: ChunkType.THINKING_DELTA,
           text: final.reasoningContent || ''
@@ -275,44 +298,37 @@ export class AiSdkToChunkAdapter {
         break
       }
 
-      case 'finish':
+      case 'finish': {
+        const usage = {
+          completion_tokens: chunk.totalUsage?.outputTokens || 0,
+          prompt_tokens: chunk.totalUsage?.inputTokens || 0,
+          total_tokens: chunk.totalUsage?.totalTokens || 0
+        }
+        const metrics = this.buildMetrics(chunk.totalUsage)
+        const baseResponse = {
+          text: final.text || '',
+          reasoning_content: final.reasoningContent || ''
+        }
+
         this.onChunk({
           type: ChunkType.BLOCK_COMPLETE,
           response: {
-            text: final.text || '',
-            reasoning_content: final.reasoningContent || '',
-            usage: {
-              completion_tokens: chunk.totalUsage.outputTokens || 0,
-              prompt_tokens: chunk.totalUsage.inputTokens || 0,
-              total_tokens: chunk.totalUsage.totalTokens || 0
-            },
-            metrics: chunk.totalUsage
-              ? {
-                  completion_tokens: chunk.totalUsage.outputTokens || 0,
-                  time_completion_millsec: 0
-                }
-              : undefined
+            ...baseResponse,
+            usage: { ...usage },
+            metrics: metrics ? { ...metrics } : undefined
           }
         })
         this.onChunk({
           type: ChunkType.LLM_RESPONSE_COMPLETE,
           response: {
-            text: final.text || '',
-            reasoning_content: final.reasoningContent || '',
-            usage: {
-              completion_tokens: chunk.totalUsage.outputTokens || 0,
-              prompt_tokens: chunk.totalUsage.inputTokens || 0,
-              total_tokens: chunk.totalUsage.totalTokens || 0
-            },
-            metrics: chunk.totalUsage
-              ? {
-                  completion_tokens: chunk.totalUsage.outputTokens || 0,
-                  time_completion_millsec: 0
-                }
-              : undefined
+            ...baseResponse,
+            usage: { ...usage },
+            metrics: metrics ? { ...metrics } : undefined
           }
         })
+        this.resetTimingState()
         break
+      }
 
       // === 源和文件相关事件 ===
       case 'source':
@@ -341,13 +357,48 @@ export class AiSdkToChunkAdapter {
       case 'error':
         this.onChunk({
           type: ChunkType.ERROR,
-          error: chunk.error as Record<string, any>
+          error:
+            chunk.error instanceof AISDKError
+              ? chunk.error
+              : new ProviderSpecificError({
+                  message: formatErrorMessage(chunk.error),
+                  provider: 'unknown',
+                  cause: chunk.error
+                })
         })
         break
 
       default:
     }
   }
+
+  private buildMetrics(totalUsage?: {
+    inputTokens?: number | null
+    outputTokens?: number | null
+    totalTokens?: number | null
+  }) {
+    if (!totalUsage) {
+      return undefined
+    }
+
+    const completionTokens = totalUsage.outputTokens ?? 0
+    const now = Date.now()
+    const start = this.responseStartTimestamp ?? now
+    const firstToken = this.firstTokenTimestamp
+    const timeFirstToken = Math.max(firstToken != null ? firstToken - start : 0, 0)
+    const baseForCompletion = firstToken ?? start
+    let timeCompletion = Math.max(now - baseForCompletion, 0)
+
+    if (timeCompletion === 0 && completionTokens > 0) {
+      timeCompletion = 1
+    }
+
+    return {
+      completion_tokens: completionTokens,
+      time_first_token_millsec: timeFirstToken,
+      time_completion_millsec: timeCompletion
+    }
+  }
 }
 
 export default AiSdkToChunkAdapter

src/renderer/src/aiCore/index_new.ts

@@ -14,6 +14,7 @@ import { addSpan, endSpan } from '@renderer/services/SpanManagerService'
 import { StartSpanParams } from '@renderer/trace/types/ModelSpanEntity'
 import type { Assistant, GenerateImageParams, Model, Provider } from '@renderer/types'
 import type { AiSdkModel, StreamTextParams } from '@renderer/types/aiCoreTypes'
+import { buildClaudeCodeSystemModelMessage } from '@shared/anthropic'
 import { type ImageModel, type LanguageModel, type Provider as AiSdkProvider, wrapLanguageModel } from 'ai'
 
 import AiSdkToChunkAdapter from './chunk/AiSdkToChunkAdapter'
@@ -21,7 +22,6 @@ import LegacyAiProvider from './legacy/index'
 import { CompletionsParams, CompletionsResult } from './legacy/middleware/schemas'
 import { AiSdkMiddlewareConfig, buildAiSdkMiddlewares } from './middleware/AiSdkMiddlewareBuilder'
 import { buildPlugins } from './plugins/PluginBuilder'
-import { buildClaudeCodeSystemMessage } from './provider/config/anthropic'
 import { createAiSdkProvider } from './provider/factory'
 import {
   getActualProvider,
@@ -83,10 +83,8 @@ export default class ModernAiProvider {
       throw new Error('Model is required for completions. Please use constructor with model parameter.')
     }
 
-    // 确保配置存在
-    if (!this.config) {
+    // 每次请求时重新生成配置以确保API key轮换生效
     this.config = providerToAiSdkConfig(this.actualProvider, this.model)
-    }
 
     // 准备特殊配置
     await prepareSpecialProviderConfig(this.actualProvider, this.config)
@@ -122,13 +120,9 @@ export default class ModernAiProvider {
     }
 
     if (this.actualProvider.id === 'anthropic' && this.actualProvider.authType === 'oauth') {
-      const claudeCodeSystemMessage = buildClaudeCodeSystemMessage(params.system)
+      const claudeCodeSystemMessage = buildClaudeCodeSystemModelMessage(params.system)
       params.system = undefined // 清除原有system，避免重复
-      if (Array.isArray(params.messages)) {
-        params.messages = [...claudeCodeSystemMessage, ...params.messages]
-      } else {
-        params.messages = claudeCodeSystemMessage
-      }
+      params.messages = [...claudeCodeSystemMessage, ...(params.messages || [])]
     }
 
     if (config.topicId && getEnableDeveloperMode()) {

src/renderer/src/aiCore/legacy/clients/BaseApiClient.ts

@@ -70,13 +70,19 @@ export abstract class BaseApiClient<
 {
   public provider: Provider
   protected host: string
-  protected apiKey: string
   protected sdkInstance?: TSdkInstance
 
   constructor(provider: Provider) {
     this.provider = provider
     this.host = this.getBaseURL()
-    this.apiKey = this.getApiKey()
+  }
+
+  /**
+   * Get the current API key with rotation support
+   * This getter ensures API keys rotate on each access when multiple keys are configured
+   */
+  protected get apiKey(): string {
+    return this.getApiKey()
   }
 
   /**

src/renderer/src/aiCore/legacy/clients/cherryai/CherryAiAPIClient.ts

@@ -1,6 +1,6 @@
+import OpenAI from '@cherrystudio/openai'
 import { Provider } from '@renderer/types'
 import { OpenAISdkParams, OpenAISdkRawOutput } from '@renderer/types/sdk'
-import OpenAI from 'openai'
 
 import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
 

src/renderer/src/aiCore/legacy/clients/openai/OpenAIApiClient.ts

@@ -1,3 +1,9 @@
+import OpenAI, { AzureOpenAI } from '@cherrystudio/openai'
+import {
+  ChatCompletionContentPart,
+  ChatCompletionContentPartRefusal,
+  ChatCompletionTool
+} from '@cherrystudio/openai/resources'
 import { loggerService } from '@logger'
 import { DEFAULT_MAX_TOKENS } from '@renderer/config/constant'
 import {
@@ -12,6 +18,7 @@ import {
   isGPT5SeriesModel,
   isGrokReasoningModel,
   isNotSupportSystemMessageModel,
+  isOpenAIDeepResearchModel,
   isOpenAIOpenWeightModel,
   isOpenAIReasoningModel,
   isQwenAlwaysThinkModel,
@@ -78,8 +85,6 @@ import {
 } from '@renderer/utils/mcp-tools'
 import { findFileBlocks, findImageBlocks } from '@renderer/utils/messageUtils/find'
 import { t } from 'i18next'
-import OpenAI, { AzureOpenAI } from 'openai'
-import { ChatCompletionContentPart, ChatCompletionContentPartRefusal, ChatCompletionTool } from 'openai/resources'
 
 import { GenericChunk } from '../../middleware/schemas'
 import { RequestTransformer, ResponseChunkTransformer, ResponseChunkTransformerContext } from '../types'
@@ -125,6 +130,12 @@ export class OpenAIAPIClient extends OpenAIBaseClient<
       return {}
     }
 
+    if (isOpenAIDeepResearchModel(model)) {
+      return {
+        reasoning_effort: 'medium'
+      }
+    }
+
     const reasoningEffort = assistant?.settings?.reasoning_effort
 
     if (isSupportedThinkingTokenZhipuModel(model)) {

src/renderer/src/aiCore/legacy/clients/openai/OpenAIBaseClient.ts

@@ -1,4 +1,6 @@
+import OpenAI, { AzureOpenAI } from '@cherrystudio/openai'
 import { loggerService } from '@logger'
+import { COPILOT_DEFAULT_HEADERS } from '@renderer/aiCore/provider/constants'
 import {
   isClaudeReasoningModel,
   isOpenAIReasoningModel,
@@ -24,7 +26,6 @@ import {
   ReasoningEffortOptionalParams
 } from '@renderer/types/sdk'
 import { formatApiHost } from '@renderer/utils/api'
-import OpenAI, { AzureOpenAI } from 'openai'
 
 import { BaseApiClient } from '../BaseApiClient'
 
@@ -167,8 +168,7 @@ export abstract class OpenAIBaseClient<
         defaultHeaders: {
           ...this.defaultHeaders(),
           ...this.provider.extra_headers,
-          ...(this.provider.id === 'copilot' ? { 'editor-version': 'vscode/1.97.2' } : {}),
-          ...(this.provider.id === 'copilot' ? { 'copilot-vision-request': 'true' } : {})
+          ...(this.provider.id === 'copilot' ? COPILOT_DEFAULT_HEADERS : {})
         }
       }) as TSdkInstance
     }

src/renderer/src/aiCore/legacy/clients/openai/OpenAIResponseAPIClient.ts

@@ -1,3 +1,5 @@
+import OpenAI, { AzureOpenAI } from '@cherrystudio/openai'
+import { ResponseInput } from '@cherrystudio/openai/resources/responses/responses'
 import { loggerService } from '@logger'
 import { GenericChunk } from '@renderer/aiCore/legacy/middleware/schemas'
 import { CompletionsContext } from '@renderer/aiCore/legacy/middleware/types'
@@ -45,8 +47,6 @@ import { findFileBlocks, findImageBlocks } from '@renderer/utils/messageUtils/fi
 import { MB } from '@shared/config/constant'
 import { t } from 'i18next'
 import { isEmpty } from 'lodash'
-import OpenAI, { AzureOpenAI } from 'openai'
-import { ResponseInput } from 'openai/resources/responses/responses'
 
 import { RequestTransformer, ResponseChunkTransformer } from '../types'
 import { OpenAIAPIClient } from './OpenAIApiClient'
@@ -343,7 +343,27 @@ export class OpenAIResponseAPIClient extends OpenAIBaseClient<
     }
     switch (message.type) {
       case 'function_call_output':
-        sum += estimateTextTokens(message.output)
+        {
+          let str = ''
+          if (typeof message.output === 'string') {
+            str = message.output
+          } else {
+            for (const part of message.output) {
+              switch (part.type) {
+                case 'input_text':
+                  str += part.text
+                  break
+                case 'input_image':
+                  str += part.image_url || ''
+                  break
+                case 'input_file':
+                  str += part.file_data || ''
+                  break
+              }
+            }
+          }
+          sum += estimateTextTokens(str)
+        }
         break
       case 'function_call':
         sum += estimateTextTokens(message.arguments)

src/renderer/src/aiCore/legacy/clients/ovms/OVMSClient.ts

@@ -1,7 +1,7 @@
+import OpenAI from '@cherrystudio/openai'
 import { loggerService } from '@logger'
 import { isSupportedModel } from '@renderer/config/models'
 import { objectKeys, Provider } from '@renderer/types'
-import OpenAI from 'openai'
 
 import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
 

src/renderer/src/aiCore/legacy/clients/ppio/PPIOAPIClient.ts

@@ -1,7 +1,7 @@
+import OpenAI from '@cherrystudio/openai'
 import { loggerService } from '@logger'
 import { isSupportedModel } from '@renderer/config/models'
 import { Model, Provider } from '@renderer/types'
-import OpenAI from 'openai'
 
 import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
 

src/renderer/src/aiCore/legacy/clients/types.ts

@@ -1,4 +1,5 @@
 import Anthropic from '@anthropic-ai/sdk'
+import OpenAI from '@cherrystudio/openai'
 import { Assistant, MCPTool, MCPToolResponse, Model, ToolCallResponse } from '@renderer/types'
 import { Provider } from '@renderer/types'
 import {
@@ -13,7 +14,6 @@ import {
   SdkTool,
   SdkToolCall
 } from '@renderer/types/sdk'
-import OpenAI from 'openai'
 
 import { CompletionsParams, GenericChunk } from '../middleware/schemas'
 import { CompletionsContext } from '../middleware/types'

src/renderer/src/aiCore/legacy/clients/zhipu/ZhipuAPIClient.ts

@@ -1,7 +1,7 @@
+import OpenAI from '@cherrystudio/openai'
 import { loggerService } from '@logger'
 import { Provider } from '@renderer/types'
 import { GenerateImageParams } from '@renderer/types'
-import OpenAI from 'openai'
 
 import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
 

src/renderer/src/aiCore/legacy/middleware/feat/ImageGenerationMiddleware.ts

@@ -1,10 +1,10 @@
+import OpenAI from '@cherrystudio/openai'
+import { toFile } from '@cherrystudio/openai/uploads'
 import { isDedicatedImageGenerationModel } from '@renderer/config/models'
 import FileManager from '@renderer/services/FileManager'
 import { ChunkType } from '@renderer/types/chunk'
 import { findImageBlocks, getMainTextContent } from '@renderer/utils/messageUtils/find'
 import { defaultTimeout } from '@shared/config/constant'
-import OpenAI from 'openai'
-import { toFile } from 'openai/uploads'
 
 import { BaseApiClient } from '../../clients/BaseApiClient'
 import { CompletionsParams, CompletionsResult, GenericChunk } from '../schemas'

src/renderer/src/aiCore/middleware/AiSdkMiddlewareBuilder.ts

@@ -4,6 +4,9 @@ import type { MCPTool, Message, Model, Provider } from '@renderer/types'
 import type { Chunk } from '@renderer/types/chunk'
 import { extractReasoningMiddleware, LanguageModelMiddleware, simulateStreamingMiddleware } from 'ai'
 
+import { noThinkMiddleware } from './noThinkMiddleware'
+import { toolChoiceMiddleware } from './toolChoiceMiddleware'
+
 const logger = loggerService.withContext('AiSdkMiddlewareBuilder')
 
 /**
@@ -29,6 +32,8 @@ export interface AiSdkMiddlewareConfig {
   uiMessages?: Message[]
   // 内置搜索配置
   webSearchPluginConfig?: WebSearchPluginConfig
+  // 知识库识别开关，默认开启
+  knowledgeRecognition?: 'off' | 'on'
 }
 
 /**
@@ -119,6 +124,15 @@ export class AiSdkMiddlewareBuilder {
 export function buildAiSdkMiddlewares(config: AiSdkMiddlewareConfig): LanguageModelMiddleware[] {
   const builder = new AiSdkMiddlewareBuilder()
 
+  // 0. 知识库强制调用中间件（必须在最前面，确保第一轮强制调用知识库）
+  if (config.knowledgeRecognition === 'off') {
+    builder.add({
+      name: 'force-knowledge-first',
+      middleware: toolChoiceMiddleware('builtin_knowledge_search')
+    })
+    logger.debug('Added toolChoice middleware to force knowledge base search on first round')
+  }
+
   // 1. 根据provider添加特定中间件
   if (config.provider) {
     addProviderSpecificMiddlewares(builder, config)
@@ -186,6 +200,14 @@ function addProviderSpecificMiddlewares(builder: AiSdkMiddlewareBuilder, config:
       // 其他provider的通用处理
       break
   }
+
+  // OVMS+MCP's specific middleware
+  if (config.provider.id === 'ovms' && config.mcpTools && config.mcpTools.length > 0) {
+    builder.add({
+      name: 'no-think',
+      middleware: noThinkMiddleware()
+    })
+  }
 }
 
 /**

src/renderer/src/aiCore/middleware/noThinkMiddleware.ts

@@ -0,0 +1,52 @@
+import { loggerService } from '@logger'
+import { LanguageModelMiddleware } from 'ai'
+
+const logger = loggerService.withContext('noThinkMiddleware')
+
+/**
+ * No Think Middleware
+ * Automatically appends ' /no_think' string to the end of user messages for the provider
+ * This prevents the model from generating unnecessary thinking process and returns results directly
+ * @returns LanguageModelMiddleware
+ */
+export function noThinkMiddleware(): LanguageModelMiddleware {
+  return {
+    middlewareVersion: 'v2',
+
+    transformParams: async ({ params }) => {
+      const transformedParams = { ...params }
+      // Process messages in prompt
+      if (transformedParams.prompt && Array.isArray(transformedParams.prompt)) {
+        transformedParams.prompt = transformedParams.prompt.map((message) => {
+          // Only process user messages
+          if (message.role === 'user') {
+            // Process content array
+            if (Array.isArray(message.content)) {
+              const lastContent = message.content[message.content.length - 1]
+              // If the last content is text type, append ' /no_think'
+              if (lastContent && lastContent.type === 'text' && typeof lastContent.text === 'string') {
+                // Avoid duplicate additions
+                if (!lastContent.text.endsWith('/no_think')) {
+                  logger.debug('Adding /no_think to user message')
+                  return {
+                    ...message,
+                    content: [
+                      ...message.content.slice(0, -1),
+                      {
+                        ...lastContent,
+                        text: lastContent.text + ' /no_think'
+                      }
+                    ]
+                  }
+                }
+              }
+            }
+          }
+          return message
+        })
+      }
+
+      return transformedParams
+    }
+  }
+}

src/renderer/src/aiCore/middleware/toolChoiceMiddleware.ts

@@ -0,0 +1,45 @@
+import { loggerService } from '@logger'
+import { LanguageModelMiddleware } from 'ai'
+
+const logger = loggerService.withContext('toolChoiceMiddleware')
+
+/**
+ * Tool Choice Middleware
+ * Controls tool selection strategy across multiple rounds of tool calls:
+ * - First round: Forces the model to call a specific tool (e.g., knowledge base search)
+ * - Subsequent rounds: Allows the model to automatically choose any available tool
+ *
+ * This ensures knowledge base is consulted first while still enabling MCP tools
+ * and other capabilities in follow-up interactions.
+ *
+ * @param forceFirstToolName - The tool name to force on the first round
+ * @returns LanguageModelMiddleware
+ */
+export function toolChoiceMiddleware(forceFirstToolName: string): LanguageModelMiddleware {
+  let toolCallRound = 0
+
+  return {
+    middlewareVersion: 'v2',
+
+    transformParams: async ({ params }) => {
+      toolCallRound++
+
+      const transformedParams = { ...params }
+
+      if (toolCallRound === 1) {
+        // First round: force the specified tool
+        logger.debug(`Round ${toolCallRound}: Forcing tool choice to '${forceFirstToolName}'`)
+        transformedParams.toolChoice = {
+          type: 'tool',
+          toolName: forceFirstToolName
+        }
+      } else {
+        // Subsequent rounds: allow automatic tool selection
+        logger.debug(`Round ${toolCallRound}: Using automatic tool choice`)
+        transformedParams.toolChoice = { type: 'auto' }
+      }
+
+      return transformedParams
+    }
+  }
+}

src/renderer/src/aiCore/prepareParams/fileProcessor.ts

@@ -3,6 +3,7 @@
  * 处理文件内容提取、文件格式转换、文件上传等逻辑
  */
 
+import type OpenAI from '@cherrystudio/openai'
 import { loggerService } from '@logger'
 import { getProviderByModel } from '@renderer/services/AssistantService'
 import type { FileMetadata, Message, Model } from '@renderer/types'
@@ -10,7 +11,6 @@ import { FileTypes } from '@renderer/types'
 import { FileMessageBlock } from '@renderer/types/newMessage'
 import { findFileBlocks } from '@renderer/utils/messageUtils/find'
 import type { FilePart, TextPart } from 'ai'
-import type OpenAI from 'openai'
 
 import { getAiSdkProviderId } from '../provider/factory'
 import { getFileSizeLimit, supportsImageInput, supportsLargeFileUpload, supportsPdfInput } from './modelCapabilities'

src/renderer/src/aiCore/prepareParams/parameterBuilder.ts

@@ -23,6 +23,7 @@ import { CherryWebSearchConfig } from '@renderer/store/websearch'
 import { type Assistant, type MCPTool, type Provider } from '@renderer/types'
 import type { StreamTextParams } from '@renderer/types/aiCoreTypes'
 import { mapRegexToPatterns } from '@renderer/utils/blacklistMatchPattern'
+import { replacePromptVariables } from '@renderer/utils/prompt'
 import type { ModelMessage, Tool } from 'ai'
 import { stepCountIs } from 'ai'
 
@@ -126,7 +127,7 @@ export async function buildStreamTextParams(
   let webSearchPluginConfig: WebSearchPluginConfig | undefined = undefined
   if (enableWebSearch) {
     if (isBaseProvider(aiSdkProviderId)) {
-      webSearchPluginConfig = buildProviderBuiltinWebSearchConfig(aiSdkProviderId, webSearchConfig)
+      webSearchPluginConfig = buildProviderBuiltinWebSearchConfig(aiSdkProviderId, webSearchConfig, model)
     }
     if (!tools) {
       tools = {}
@@ -159,14 +160,14 @@ export async function buildStreamTextParams(
     abortSignal: options.requestOptions?.signal,
     headers: options.requestOptions?.headers,
     providerOptions,
-    stopWhen: stepCountIs(10),
+    stopWhen: stepCountIs(20),
     maxRetries: 0
   }
   if (tools) {
     params.tools = tools
   }
   if (assistant.prompt) {
-    params.system = assistant.prompt
+    params.system = await replacePromptVariables(assistant.prompt, model.name)
   }
   logger.debug('params', params)
   return {

src/renderer/src/aiCore/provider/__tests__/providerConfig.test.ts

@@ -0,0 +1,89 @@
+import { beforeEach, describe, expect, it, vi } from 'vitest'
+
+vi.mock('@renderer/services/LoggerService', () => ({
+  loggerService: {
+    withContext: () => ({
+      debug: vi.fn(),
+      info: vi.fn(),
+      warn: vi.fn(),
+      error: vi.fn()
+    })
+  }
+}))
+
+vi.mock('@renderer/services/AssistantService', () => ({
+  getProviderByModel: vi.fn()
+}))
+
+vi.mock('@renderer/store', () => ({
+  default: {
+    getState: () => ({ copilot: { defaultHeaders: {} } })
+  }
+}))
+
+import type { Model, Provider } from '@renderer/types'
+
+import { COPILOT_DEFAULT_HEADERS, COPILOT_EDITOR_VERSION, isCopilotResponsesModel } from '../constants'
+import { providerToAiSdkConfig } from '../providerConfig'
+
+const createWindowKeyv = () => {
+  const store = new Map<string, string>()
+  return {
+    get: (key: string) => store.get(key),
+    set: (key: string, value: string) => {
+      store.set(key, value)
+    }
+  }
+}
+
+const createCopilotProvider = (): Provider => ({
+  id: 'copilot',
+  type: 'openai',
+  name: 'GitHub Copilot',
+  apiKey: 'test-key',
+  apiHost: 'https://api.githubcopilot.com',
+  models: [],
+  isSystem: true
+})
+
+const createModel = (id: string, name = id): Model => ({
+  id,
+  name,
+  provider: 'copilot',
+  group: 'copilot'
+})
+
+describe('Copilot responses routing', () => {
+  beforeEach(() => {
+    ;(globalThis as any).window = {
+      ...(globalThis as any).window,
+      keyv: createWindowKeyv()
+    }
+  })
+
+  it('detects official GPT-5 Codex identifiers case-insensitively', () => {
+    expect(isCopilotResponsesModel(createModel('gpt-5-codex', 'gpt-5-codex'))).toBe(true)
+    expect(isCopilotResponsesModel(createModel('GPT-5-CODEX', 'GPT-5-CODEX'))).toBe(true)
+    expect(isCopilotResponsesModel(createModel('gpt-5-codex', 'custom-name'))).toBe(true)
+    expect(isCopilotResponsesModel(createModel('custom-id', 'custom-name'))).toBe(false)
+  })
+
+  it('configures gpt-5-codex with the Copilot provider', () => {
+    const provider = createCopilotProvider()
+    const config = providerToAiSdkConfig(provider, createModel('gpt-5-codex', 'GPT-5-CODEX'))
+
+    expect(config.providerId).toBe('github-copilot-openai-compatible')
+    expect(config.options.headers?.['Editor-Version']).toBe(COPILOT_EDITOR_VERSION)
+    expect(config.options.headers?.['Copilot-Integration-Id']).toBe(COPILOT_DEFAULT_HEADERS['Copilot-Integration-Id'])
+    expect(config.options.headers?.['copilot-vision-request']).toBe('true')
+  })
+
+  it('uses the Copilot provider for other models and keeps headers', () => {
+    const provider = createCopilotProvider()
+    const config = providerToAiSdkConfig(provider, createModel('gpt-4'))
+
+    expect(config.providerId).toBe('github-copilot-openai-compatible')
+    expect(config.options.headers?.['Editor-Version']).toBe(COPILOT_DEFAULT_HEADERS['Editor-Version'])
+    expect(config.options.headers?.['Copilot-Integration-Id']).toBe(COPILOT_DEFAULT_HEADERS['Copilot-Integration-Id'])
+  })
+})

src/renderer/src/aiCore/provider/config/aihubmix.ts

@@ -1,7 +1,7 @@
 /**
  * AiHubMix规则集
  */
-import { isOpenAIModel } from '@renderer/config/models'
+import { isOpenAILLMModel } from '@renderer/config/models'
 import { Provider } from '@renderer/types'
 
 import { provider2Provider, startsWith } from './helper'
@@ -42,7 +42,7 @@ const AIHUBMIX_RULES: RuleSet = {
       }
     },
     {
-      match: isOpenAIModel,
+      match: isOpenAILLMModel,
       provider: (provider: Provider) => {
         return extraProviderConfig({
           ...provider,

src/renderer/src/aiCore/provider/config/anthropic.ts

@@ -1,24 +0,0 @@
-import { SystemModelMessage } from 'ai'
-
-export function buildClaudeCodeSystemMessage(system?: string): Array<SystemModelMessage> {
-  const defaultClaudeCodeSystem = `You are Claude Code, Anthropic's official CLI for Claude.`
-  if (!system || system.trim() === defaultClaudeCodeSystem) {
-    return [
-      {
-        role: 'system',
-        content: defaultClaudeCodeSystem
-      }
-    ]
-  }
-
-  return [
-    {
-      role: 'system',
-      content: defaultClaudeCodeSystem
-    },
-    {
-      role: 'system',
-      content: system
-    }
-  ]
-}

src/renderer/src/aiCore/provider/constants.ts

@@ -0,0 +1,25 @@
+import type { Model } from '@renderer/types'
+
+export const COPILOT_EDITOR_VERSION = 'vscode/1.104.1'
+export const COPILOT_PLUGIN_VERSION = 'copilot-chat/0.26.7'
+export const COPILOT_INTEGRATION_ID = 'vscode-chat'
+export const COPILOT_USER_AGENT = 'GitHubCopilotChat/0.26.7'
+
+export const COPILOT_DEFAULT_HEADERS = {
+  'Copilot-Integration-Id': COPILOT_INTEGRATION_ID,
+  'User-Agent': COPILOT_USER_AGENT,
+  'Editor-Version': COPILOT_EDITOR_VERSION,
+  'Editor-Plugin-Version': COPILOT_PLUGIN_VERSION,
+  'editor-version': COPILOT_EDITOR_VERSION,
+  'editor-plugin-version': COPILOT_PLUGIN_VERSION,
+  'copilot-vision-request': 'true'
+} as const
+
+// Models that require the OpenAI Responses endpoint when routed through GitHub Copilot (#10560)
+const COPILOT_RESPONSES_MODEL_IDS = ['gpt-5-codex']
+
+export function isCopilotResponsesModel(model: Model): boolean {
+  const normalizedId = model.id?.trim().toLowerCase()
+  const normalizedName = model.name?.trim().toLowerCase()
+  return COPILOT_RESPONSES_MODEL_IDS.some((target) => normalizedId === target || normalizedName === target)
+}

src/renderer/src/aiCore/provider/factory.ts

@@ -28,7 +28,8 @@ const STATIC_PROVIDER_MAPPING: Record<string, ProviderId> = {
   gemini: 'google', // Google Gemini -> google
   'azure-openai': 'azure', // Azure OpenAI -> azure
   'openai-response': 'openai', // OpenAI Responses -> openai
-  grok: 'xai' // Grok -> xai
+  grok: 'xai', // Grok -> xai
+  copilot: 'github-copilot-openai-compatible'
 }
 
 /**

src/renderer/src/aiCore/provider/providerConfig.ts

@@ -21,6 +21,7 @@ import { formatApiHost } from '@renderer/utils/api'
 import { cloneDeep, trim } from 'lodash'
 
 import { aihubmixProviderCreator, newApiResolverCreator, vertexAnthropicProviderCreator } from './config'
+import { COPILOT_DEFAULT_HEADERS } from './constants'
 import { getAiSdkProviderId } from './factory'
 
 const logger = loggerService.withContext('ProviderConfigProcessor')
@@ -62,13 +63,14 @@ function handleSpecialProviders(model: Model, provider: Provider): Provider {
   //   return createVertexProvider(provider)
   // }
 
+  if (isNewApiProvider(provider)) {
+    return newApiResolverCreator(model, provider)
+  }
+
   if (isSystemProvider(provider)) {
     if (provider.id === 'aihubmix') {
       return aihubmixProviderCreator(model, provider)
     }
-    if (isNewApiProvider(provider)) {
-      return newApiResolverCreator(model, provider)
-    }
     if (provider.id === 'vertexai') {
       return vertexAnthropicProviderCreator(model, provider)
     }
@@ -109,6 +111,9 @@ function formatProviderApiHost(provider: Provider): Provider {
     if (!formatted.anthropicApiHost) {
       formatted.anthropicApiHost = formatted.apiHost
     }
+  } else if (formatted.id === 'copilot') {
+    const trimmed = trim(formatted.apiHost)
+    formatted.apiHost = trimmed.endsWith('/') ? trimmed.slice(0, -1) : trimmed
   } else if (formatted.type === 'gemini') {
     formatted.apiHost = formatApiHost(formatted.apiHost, 'v1beta')
   } else {
@@ -151,6 +156,26 @@ export function providerToAiSdkConfig(
     baseURL: trim(actualProvider.apiHost),
     apiKey: getRotatedApiKey(actualProvider)
   }
+
+  const isCopilotProvider = actualProvider.id === 'copilot'
+  if (isCopilotProvider) {
+    const storedHeaders = store.getState().copilot.defaultHeaders ?? {}
+    const options = ProviderConfigFactory.fromProvider('github-copilot-openai-compatible', baseConfig, {
+      headers: {
+        ...COPILOT_DEFAULT_HEADERS,
+        ...storedHeaders,
+        ...actualProvider.extra_headers
+      },
+      name: actualProvider.id,
+      includeUsage: true
+    })
+
+    return {
+      providerId: 'github-copilot-openai-compatible',
+      options
+    }
+  }
+
   // 处理OpenAI模式
   const extraOptions: any = {}
   if (actualProvider.type === 'openai-response' && !isOpenAIChatCompletionOnlyModel(model)) {
@@ -172,15 +197,6 @@ export function providerToAiSdkConfig(
       }
     }
   }
-
-  // copilot
-  if (actualProvider.id === 'copilot') {
-    extraOptions.headers = {
-      ...extraOptions.headers,
-      'editor-version': 'vscode/1.97.2',
-      'copilot-vision-request': 'true'
-    }
-  }
   // azure
   if (aiSdkProviderId === 'azure' || actualProvider.type === 'azure-openai') {
     extraOptions.apiVersion = actualProvider.apiVersion
@@ -229,7 +245,6 @@ export function providerToAiSdkConfig(
     }
   }
 
-  // 如果AI SDK支持该provider，使用原生配置
   if (hasProviderConfig(aiSdkProviderId) && aiSdkProviderId !== 'openai-compatible') {
     const options = ProviderConfigFactory.fromProvider(aiSdkProviderId, baseConfig, extraOptions)
     return {
@@ -277,9 +292,17 @@ export async function prepareSpecialProviderConfig(
 ) {
   switch (provider.id) {
     case 'copilot': {
-      const defaultHeaders = store.getState().copilot.defaultHeaders
-      const { token } = await window.api.copilot.getToken(defaultHeaders)
+      const defaultHeaders = store.getState().copilot.defaultHeaders ?? {}
+      const headers = {
+        ...COPILOT_DEFAULT_HEADERS,
+        ...defaultHeaders
+      }
+      const { token } = await window.api.copilot.getToken(headers)
       config.options.apiKey = token
+      config.options.headers = {
+        ...headers,
+        ...config.options.headers
+      }
       break
     }
     case 'cherryai': {

src/renderer/src/aiCore/provider/providerInitialization.ts

@@ -32,6 +32,14 @@ export const NEW_PROVIDER_CONFIGS: ProviderConfig[] = [
     supportsImageGeneration: true,
     aliases: ['vertexai-anthropic']
   },
+  {
+    id: 'github-copilot-openai-compatible',
+    name: 'GitHub Copilot OpenAI Compatible',
+    import: () => import('@opeoginni/github-copilot-openai-compatible'),
+    creatorFunctionName: 'createGitHubCopilotOpenAICompatible',
+    supportsImageGeneration: false,
+    aliases: ['copilot', 'github-copilot']
+  },
   {
     id: 'bedrock',
     name: 'Amazon Bedrock',
@@ -47,6 +55,14 @@ export const NEW_PROVIDER_CONFIGS: ProviderConfig[] = [
     creatorFunctionName: 'createPerplexity',
     supportsImageGeneration: false,
     aliases: ['perplexity']
+  },
+  {
+    id: 'mistral',
+    name: 'Mistral',
+    import: () => import('@ai-sdk/mistral'),
+    creatorFunctionName: 'createMistral',
+    supportsImageGeneration: false,
+    aliases: ['mistral']
   }
 ] as const
 

src/renderer/src/aiCore/tools/KnowledgeSearchTool.ts

@@ -4,7 +4,7 @@ import type { Assistant, KnowledgeReference } from '@renderer/types'
 import { ExtractResults, KnowledgeExtractResults } from '@renderer/utils/extract'
 import { type InferToolInput, type InferToolOutput, tool } from 'ai'
 import { isEmpty } from 'lodash'
-import { z } from 'zod'
+import * as z from 'zod'
 
 /**
  * 知识库搜索工具

src/renderer/src/aiCore/tools/MemorySearchTool.ts

@@ -1,7 +1,7 @@
 import store from '@renderer/store'
 import { selectCurrentUserId, selectGlobalMemoryEnabled, selectMemoryConfig } from '@renderer/store/memory'
 import { type InferToolInput, type InferToolOutput, tool } from 'ai'
-import { z } from 'zod'
+import * as z from 'zod'
 
 import { MemoryProcessor } from '../../services/MemoryProcessor'
 

src/renderer/src/aiCore/tools/WebSearchTool.ts

@@ -3,7 +3,7 @@ import WebSearchService from '@renderer/services/WebSearchService'
 import { WebSearchProvider, WebSearchProviderResponse } from '@renderer/types'
 import { ExtractResults } from '@renderer/utils/extract'
 import { type InferToolInput, type InferToolOutput, tool } from 'ai'
-import { z } from 'zod'
+import * as z from 'zod'
 
 /**
  * 使用预提取关键词的网络搜索工具

src/renderer/src/aiCore/utils/reasoning.ts

@@ -5,8 +5,11 @@ import {
   GEMINI_FLASH_MODEL_REGEX,
   getThinkModelType,
   isDeepSeekHybridInferenceModel,
+  isDoubaoSeedAfter251015,
   isDoubaoThinkingAutoModel,
+  isGrok4FastReasoningModel,
   isGrokReasoningModel,
+  isOpenAIDeepResearchModel,
   isOpenAIReasoningModel,
   isQwenAlwaysThinkModel,
   isQwenReasoningModel,
@@ -42,6 +45,12 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
   if (!isReasoningModel(model)) {
     return {}
   }
+
+  if (isOpenAIDeepResearchModel(model)) {
+    return {
+      reasoning_effort: 'medium'
+    }
+  }
   const reasoningEffort = assistant?.settings?.reasoning_effort
 
   if (!reasoningEffort) {
@@ -52,7 +61,12 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
         return {}
       }
       // Don't disable reasoning for models that require it
-      if (isGrokReasoningModel(model) || isOpenAIReasoningModel(model) || model.id.includes('seed-oss')) {
+      if (
+        isGrokReasoningModel(model) ||
+        isOpenAIReasoningModel(model) ||
+        isQwenAlwaysThinkModel(model) ||
+        model.id.includes('seed-oss')
+      ) {
         return {}
       }
       return { reasoning: { enabled: false, exclude: true } }
@@ -100,6 +114,7 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
   // reasoningEffort有效的情况
   // DeepSeek hybrid inference models, v3.1 and maybe more in the future
   // 不同的 provider 有不同的思考控制方式，在这里统一解决
+
   if (isDeepSeekHybridInferenceModel(model)) {
     if (isSystemProvider(provider)) {
       switch (provider.id) {
@@ -142,6 +157,16 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
 
   // OpenRouter models
   if (model.provider === SystemProviderIds.openrouter) {
+    // Grok 4 Fast doesn't support effort levels, always use enabled: true
+    if (isGrok4FastReasoningModel(model)) {
+      return {
+        reasoning: {
+          enabled: true // Ignore effort level, just enable reasoning
+        }
+      }
+    }
+
+    // Other OpenRouter models that support effort levels
     if (isSupportedReasoningEffortModel(model) || isSupportedThinkingTokenModel(model)) {
       return {
         reasoning: {
@@ -153,6 +178,10 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
 
   // Doubao 思考模式支持
   if (isSupportedThinkingTokenDoubaoModel(model)) {
+    if (isDoubaoSeedAfter251015(model)) {
+      return { reasoningEffort }
+    }
+    // Comment below this line seems weird. reasoning is high instead of null/undefined. Who wrote this?
     // reasoningEffort 为空，默认开启 enabled
     if (reasoningEffort === 'high') {
       return { thinking: { type: 'enabled' } }
@@ -209,12 +238,12 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
     const supportedOptions = MODEL_SUPPORTED_REASONING_EFFORT[modelType]
     if (supportedOptions.includes(reasoningEffort)) {
       return {
-        reasoning_effort: reasoningEffort
+        reasoningEffort
       }
     } else {
       // 如果不支持，fallback到第一个支持的值
       return {
-        reasoning_effort: supportedOptions[0]
+        reasoningEffort: supportedOptions[0]
       }
     }
   }
@@ -295,7 +324,11 @@ export function getOpenAIReasoningParams(assistant: Assistant, model: Model): Re
     reasoningSummary = summaryText
   }
 
-  const reasoningEffort = assistant?.settings?.reasoning_effort
+  let reasoningEffort = assistant?.settings?.reasoning_effort
+
+  if (isOpenAIDeepResearchModel(model)) {
+    reasoningEffort = 'medium'
+  }
 
   if (!reasoningEffort) {
     return {}
@@ -412,6 +445,13 @@ export function getGeminiReasoningParams(assistant: Assistant, model: Model): Re
   return {}
 }
 
+/**
+ * Get XAI-specific reasoning parameters
+ * This function should only be called for XAI provider models
+ * @param assistant - The assistant configuration
+ * @param model - The model being used
+ * @returns XAI-specific reasoning parameters
+ */
 export function getXAIReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
   if (!isSupportedReasoningEffortGrokModel(model)) {
     return {}
@@ -419,6 +459,11 @@ export function getXAIReasoningParams(assistant: Assistant, model: Model): Recor
 
   const { reasoning_effort: reasoningEffort } = getAssistantSettings(assistant)
 
+  if (!reasoningEffort) {
+    return {}
+  }
+
+  // For XAI provider Grok models, use reasoningEffort parameter directly
   return {
     reasoningEffort
   }

src/renderer/src/aiCore/utils/websearch.ts

@@ -4,7 +4,7 @@ import {
   WebSearchPluginConfig
 } from '@cherrystudio/ai-core/core/plugins/built-in/webSearchPlugin/helper'
 import { BaseProviderId } from '@cherrystudio/ai-core/provider'
-import { isOpenAIWebSearchChatCompletionOnlyModel } from '@renderer/config/models'
+import { isOpenAIDeepResearchModel, isOpenAIWebSearchChatCompletionOnlyModel } from '@renderer/config/models'
 import { CherryWebSearchConfig } from '@renderer/store/websearch'
 import { Model } from '@renderer/types'
 import { mapRegexToPatterns } from '@renderer/utils/blacklistMatchPattern'
@@ -43,20 +43,27 @@ function mapMaxResultToOpenAIContextSize(maxResults: number): OpenAISearchConfig
 
 export function buildProviderBuiltinWebSearchConfig(
   providerId: BaseProviderId,
-  webSearchConfig: CherryWebSearchConfig
+  webSearchConfig: CherryWebSearchConfig,
+  model?: Model
 ): WebSearchPluginConfig | undefined {
   switch (providerId) {
     case 'openai': {
+      const searchContextSize = isOpenAIDeepResearchModel(model)
+        ? 'medium'
+        : mapMaxResultToOpenAIContextSize(webSearchConfig.maxResults)
       return {
         openai: {
-          searchContextSize: mapMaxResultToOpenAIContextSize(webSearchConfig.maxResults)
+          searchContextSize
         }
       }
     }
     case 'openai-chat': {
+      const searchContextSize = isOpenAIDeepResearchModel(model)
+        ? 'medium'
+        : mapMaxResultToOpenAIContextSize(webSearchConfig.maxResults)
       return {
         'openai-chat': {
-          searchContextSize: mapMaxResultToOpenAIContextSize(webSearchConfig.maxResults)
+          searchContextSize
         }
       }
     }

src/renderer/src/api/agent.ts

@@ -9,6 +9,8 @@ import {
   CreateAgentRequest,
   CreateAgentResponse,
   CreateAgentResponseSchema,
+  CreateAgentSessionResponse,
+  CreateAgentSessionResponseSchema,
   CreateSessionForm,
   CreateSessionRequest,
   GetAgentResponse,
@@ -19,6 +21,7 @@ import {
   ListAgentSessionsResponseSchema,
   type ListAgentsResponse,
   ListAgentsResponseSchema,
+  ListOptions,
   objectEntries,
   objectKeys,
   UpdateAgentForm,
@@ -93,10 +96,19 @@ export class AgentApiClient {
     }
   }
 
-  public async listAgents(): Promise<ListAgentsResponse> {
+  public async listAgents(options?: ListOptions): Promise<ListAgentsResponse> {
     const url = this.agentPaths.base
     try {
-      const response = await this.axios.get(url)
+      const params = new URLSearchParams()
+      if (options?.limit !== undefined) params.append('limit', String(options.limit))
+      if (options?.offset !== undefined) params.append('offset', String(options.offset))
+      if (options?.sortBy) params.append('sortBy', options.sortBy)
+      if (options?.orderBy) params.append('orderBy', options.orderBy)
+
+      const queryString = params.toString()
+      const fullUrl = queryString ? `${url}?${queryString}` : url
+
+      const response = await this.axios.get(fullUrl)
       const result = ListAgentsResponseSchema.safeParse(response.data)
       if (!result.success) {
         throw new Error('Not a valid Agents array.')
@@ -171,12 +183,12 @@ export class AgentApiClient {
     }
   }
 
-  public async createSession(agentId: string, session: CreateSessionForm): Promise<GetAgentSessionResponse> {
+  public async createSession(agentId: string, session: CreateSessionForm): Promise<CreateAgentSessionResponse> {
     const url = this.getSessionPaths(agentId).base
     try {
       const payload = session satisfies CreateSessionRequest
       const response = await this.axios.post(url, payload)
-      const data = GetAgentSessionResponseSchema.parse(response.data)
+      const data = CreateAgentSessionResponseSchema.parse(response.data)
       return data
     } catch (error) {
       throw processError(error, 'Failed to add session.')