check uv and bun install

The changes add an UV installer component to the sidebar and switch from
Redux to local state for managing UV/Bun installation status. The commit
includes layout adjustments to accommodate the new component.

.editorconfig

@@ -1,9 +1,9 @@
-root = true
-
-[*]
-charset = utf-8
-indent_style = space
-indent_size = 2
-end_of_line = lf
-insert_final_newline = true
-trim_trailing_whitespace = true
+root = true
+
+[*]
+charset = utf-8
+indent_style = space
+indent_size = 2
+end_of_line = lf
+insert_final_newline = true
+trim_trailing_whitespace = true

.env.example

@@ -0,0 +1 @@
+NODE_OPTIONS=--max-old-space-size=8000

.git-blame-ignore-revs

@@ -0,0 +1,2 @@
+# ignore #7923 eol change and code formatting
+4ac8a388347ff35f34de42c3ef4a2f81f03fb3b1

.gitattributes

@@ -1,2 +1,3 @@
+* text=auto eol=lf
 /.yarn/**            linguist-vendored
 /.yarn/releases/*    binary

.github/ISSUE_TEMPLATE/#3_others.yml

@@ -73,4 +73,4 @@ body:
     id: additional
     attributes:
       label: 附加信息
-      description: 任何能让我们对您的问题有更多了解的信息，包括截图或相关链接
+      description: 任何能让我们对您的问题有更多了解的信息，包括截图或相关链接

.github/ISSUE_TEMPLATE/3_others.yml

@@ -73,4 +73,4 @@ body:
     id: additional
     attributes:
       label: Additional Information
-      description: Any other information that could help us better understand your question, including screenshots or relevant links
+      description: Any other information that could help us better understand your question, including screenshots or relevant links

.github/issue-checker.yml

@@ -9,115 +9,115 @@ labels:
   # skips and removes
   - name: skip all
     content:
-    regexes: "[Ss]kip (?:[Aa]ll |)[Ll]abels?"
+    regexes: '[Ss]kip (?:[Aa]ll |)[Ll]abels?'
   - name: remove all
     content:
-    regexes: "[Rr]emove (?:[Aa]ll |)[Ll]abels?"
+    regexes: '[Rr]emove (?:[Aa]ll |)[Ll]abels?'
 
   - name: skip kind/bug
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
   - name: remove kind/bug
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/bug(?:`|)'
 
   - name: skip kind/enhancement
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
   - name: remove kind/enhancement
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/enhancement(?:`|)'
 
   - name: skip kind/question
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/question(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
   - name: remove kind/question
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/question(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/question(?:`|)'
 
   - name: skip area/Connectivity
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
   - name: remove area/Connectivity
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/Connectivity(?:`|)'
 
   - name: skip area/UI/UX
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
   - name: remove area/UI/UX
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)area/UI/UX(?:`|)'
 
   - name: skip kind/documentation
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
   - name: remove kind/documentation
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)kind/documentation(?:`|)'
 
   - name: skip client:linux
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:linux(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
   - name: remove client:linux
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:linux(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:linux(?:`|)'
 
   - name: skip client:mac
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:mac(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
   - name: remove client:mac
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:mac(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:mac(?:`|)'
 
   - name: skip client:win
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)client:win(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
   - name: remove client:win
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)client:win(?:`|)"
-  
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)client:win(?:`|)'
+
   - name: skip sig/Assistant
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
   - name: remove sig/Assistant
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Assistant(?:`|)'
 
   - name: skip sig/Data
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
   - name: remove sig/Data
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/Data(?:`|)'
 
   - name: skip sig/MCP
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
   - name: remove sig/MCP
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/MCP(?:`|)'
 
   - name: skip sig/RAG
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
   - name: remove sig/RAG
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)sig/RAG(?:`|)'
 
   - name: skip lgtm
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)lgtm(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
   - name: remove lgtm
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)lgtm(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)lgtm(?:`|)'
 
   - name: skip License
     content:
-    regexes: "[Ss]kip (?:[Ll]abels? |)(?:`|)License(?:`|)"
+    regexes: '[Ss]kip (?:[Ll]abels? |)(?:`|)License(?:`|)'
   - name: remove License
     content:
-    regexes: "[Rr]emove (?:[Ll]abels? |)(?:`|)License(?:`|)"
+    regexes: '[Rr]emove (?:[Ll]abels? |)(?:`|)License(?:`|)'
 
   # `Dev Team`
   - name: Dev Team
@@ -129,7 +129,7 @@ labels:
   # Area labels
   - name: area/Connectivity
     content: area/Connectivity
-    regexes: "代理|[Pp]roxy"
+    regexes: '代理|[Pp]roxy'
     skip-if:
       - skip all
       - skip area/Connectivity
@@ -139,7 +139,7 @@ labels:
 
   - 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]"
+    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
@@ -150,7 +150,7 @@ labels:
   # Kind labels
   - name: kind/documentation
     content: kind/documentation
-    regexes: "文档|教程|[Dd]oc(s|umentation)|[Rr]eadme"
+    regexes: '文档|教程|[Dd]oc(s|umentation)|[Rr]eadme'
     skip-if:
       - skip all
       - skip kind/documentation
@@ -161,7 +161,7 @@ labels:
   # Client labels
   - name: client:linux
     content: client:linux
-    regexes: "(?:[Ll]inux|[Uu]buntu|[Dd]ebian)"
+    regexes: '(?:[Ll]inux|[Uu]buntu|[Dd]ebian)'
     skip-if:
       - skip all
       - skip client:linux
@@ -171,7 +171,7 @@ labels:
 
   - name: client:mac
     content: client:mac
-    regexes: "(?:[Mm]ac|[Mm]acOS|[Oo]SX)"
+    regexes: '(?:[Mm]ac|[Mm]acOS|[Oo]SX)'
     skip-if:
       - skip all
       - skip client:mac
@@ -181,7 +181,7 @@ labels:
 
   - name: client:win
     content: client:win
-    regexes: "(?:[Ww]in|[Ww]indows)"
+    regexes: '(?:[Ww]in|[Ww]indows)'
     skip-if:
       - skip all
       - skip client:win
@@ -192,7 +192,7 @@ labels:
   # SIG labels
   - name: sig/Assistant
     content: sig/Assistant
-    regexes: "快捷助手|[Aa]ssistant"
+    regexes: '快捷助手|[Aa]ssistant'
     skip-if:
       - skip all
       - skip sig/Assistant
@@ -202,7 +202,7 @@ labels:
 
   - name: sig/Data
     content: sig/Data
-    regexes: "[Ww]ebdav|坚果云|备份|同步|数据|Obsidian|Notion|Joplin|思源"
+    regexes: '[Ww]ebdav|坚果云|备份|同步|数据|Obsidian|Notion|Joplin|思源'
     skip-if:
       - skip all
       - skip sig/Data
@@ -212,7 +212,7 @@ labels:
 
   - name: sig/MCP
     content: sig/MCP
-    regexes: "[Mm][Cc][Pp]"
+    regexes: '[Mm][Cc][Pp]'
     skip-if:
       - skip all
       - skip sig/MCP
@@ -222,7 +222,7 @@ labels:
 
   - name: sig/RAG
     content: sig/RAG
-    regexes: "知识库|[Rr][Aa][Gg]"
+    regexes: '知识库|[Rr][Aa][Gg]'
     skip-if:
       - skip all
       - skip sig/RAG
@@ -233,7 +233,7 @@ labels:
   # Other labels
   - name: lgtm
     content: lgtm
-    regexes: "(?:[Ll][Gg][Tt][Mm]|[Ll]ooks [Gg]ood [Tt]o [Mm]e)"
+    regexes: '(?:[Ll][Gg][Tt][Mm]|[Ll]ooks [Gg]ood [Tt]o [Mm]e)'
     skip-if:
       - skip all
       - skip lgtm
@@ -243,7 +243,7 @@ labels:
 
   - name: License
     content: License
-    regexes: "(?:[Ll]icense|[Cc]opyright|[Mm][Ii][Tt]|[Aa]pache)"
+    regexes: '(?:[Ll]icense|[Cc]opyright|[Mm][Ii][Tt]|[Aa]pache)'
     skip-if:
       - skip all
       - skip License

.github/workflows/issue-checker.yml

@@ -1,4 +1,4 @@
-name: "Issue Checker"
+name: 'Issue Checker'
 
 on:
   issues:
@@ -19,7 +19,7 @@ jobs:
     steps:
       - uses: MaaAssistantArknights/issue-checker@v1.14
         with:
-          repo-token: "${{ secrets.GITHUB_TOKEN }}"
+          repo-token: '${{ secrets.GITHUB_TOKEN }}'
           configuration-path: .github/issue-checker.yml
           not-before: 2022-08-05T00:00:00Z
-          include-title: 1
+          include-title: 1

.github/workflows/issue-management.yml

@@ -1,8 +1,8 @@
-name: "Stale Issue Management"
+name: 'Stale Issue Management'
 
 on:
   schedule:
-    - cron: "0 0 * * *"
+    - cron: '0 0 * * *'
   workflow_dispatch:
 
 env:
@@ -24,18 +24,18 @@ jobs:
         uses: actions/stale@v9
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
-          only-labels: "needs-more-info"
+          only-labels: 'needs-more-info'
           days-before-stale: ${{ env.daysBeforeStale }}
-          days-before-close: 0  # Close immediately after stale
-          stale-issue-label: "inactive"
-          close-issue-label: "closed:no-response"
+          days-before-close: 0 # Close immediately after stale
+          stale-issue-label: 'inactive'
+          close-issue-label: 'closed:no-response'
           stale-issue-message: |
             This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days. 
             It will be closed now due to lack of additional information.
-            
+
             该问题被标记为"需要更多信息"且已经 ${{ env.daysBeforeStale }} 天没有任何活动，将立即关闭。
           operations-per-run: 50
-          exempt-issue-labels: "pending, Dev Team"
+          exempt-issue-labels: 'pending, Dev Team'
           days-before-pr-stale: -1
           days-before-pr-close: -1
 
@@ -45,11 +45,11 @@ jobs:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           days-before-stale: ${{ env.daysBeforeStale }}
           days-before-close: ${{ env.daysBeforeClose }}
-          stale-issue-label: "inactive"
+          stale-issue-label: 'inactive'
           stale-issue-message: |
             This issue has been inactive for a prolonged period and will be closed automatically in ${{ env.daysBeforeClose }} days.
             该问题已长时间处于闲置状态，${{ env.daysBeforeClose }} 天后将自动关闭。
-          exempt-issue-labels: "pending, Dev Team, kind/enhancement"
+          exempt-issue-labels: 'pending, Dev Team, kind/enhancement'
           days-before-pr-stale: -1 # Completely disable stalling for PRs
           days-before-pr-close: -1 # Completely disable closing for PRs
 

.github/workflows/pr-ci.yml

@@ -10,6 +10,8 @@ on:
 jobs:
   build:
     runs-on: ubuntu-latest
+    env:
+      PRCI: true
 
     steps:
       - name: Check out Git repository

.github/workflows/release.yml

@@ -77,9 +77,10 @@ jobs:
 
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Mac
         if: matrix.os == 'macos-latest'
@@ -93,10 +94,11 @@ jobs:
           APPLE_ID: ${{ vars.APPLE_ID }}
           APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
           APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
-          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Windows
         if: matrix.os == 'windows-latest'
@@ -105,9 +107,10 @@ jobs:
           yarn build:win
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_MINERU_API_KEY: ${{ vars.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ vars.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ vars.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Release
         uses: ncipollo/release-action@v1
@@ -117,4 +120,4 @@ jobs:
           makeLatest: false
           tag: ${{ steps.get-tag.outputs.tag }}
           artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/*.blockmap'
-          token: ${{ secrets.GITHUB_TOKEN }}
+          token: ${{ secrets.GITHUB_TOKEN }}

.gitignore

@@ -35,17 +35,24 @@ Thumbs.db
 node_modules
 dist
 out
+mcp_server
 stats.html
 
 # ENV
 .env
 .env.*
+!.env.example
 
 # Local
 local
 .aider*
 .cursorrules
 .cursor/*
+.claude/*
+.gemini/*
+.qwen/*
+.trae/*
+.claude-code-router/*
 
 # vitest
 coverage

.prettierrc

@@ -1,8 +1,11 @@
 {
-  "singleQuote": true,
-  "semi": false,
-  "printWidth": 120,
-  "trailingComma": "none",
+  "bracketSameLine": true,
   "endOfLine": "lf",
-  "bracketSameLine": true
+  "jsonRecursiveSort": true,
+  "jsonSortOrder": "{\"*\": \"lexical\"}",
+  "plugins": ["prettier-plugin-sort-json"],
+  "printWidth": 120,
+  "semi": false,
+  "singleQuote": true,
+  "trailingComma": "none"
 }

.vscode/extensions.json

@@ -1,3 +1,8 @@
 {
-  "recommendations": ["dbaeumer.vscode-eslint"]
+  "recommendations": [
+    "dbaeumer.vscode-eslint",
+    "esbenp.prettier-vscode",
+    "editorconfig.editorconfig",
+    "lokalise.i18n-ally"
+  ]
 }

.vscode/launch.json

@@ -10,7 +10,7 @@
       "windows": {
         "runtimeExecutable": "${workspaceRoot}/node_modules/.bin/electron-vite.cmd"
       },
-      "runtimeArgs": ["--sourcemap"],
+      "runtimeArgs": ["--inspect", "--sourcemap"],
       "env": {
         "REMOTE_DEBUGGING_PORT": "9222"
       }
@@ -21,7 +21,7 @@
       "request": "attach",
       "type": "chrome",
       "webRoot": "${workspaceFolder}/src/renderer",
-      "timeout": 60000,
+      "timeout": 3000000,
       "presentation": {
         "hidden": true
       }

.vscode/settings.json

@@ -1,44 +1,46 @@
 {
-  "editor.formatOnSave": true,
-  "editor.codeActionsOnSave": {
-    "source.fixAll.eslint": "explicit",
-    "source.organizeImports": "never"
-  },
-  "search.exclude": {
-    "**/dist/**": true,
-    ".yarn/releases/**": true
+  "[css]": {
+    "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
   "[javascript]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
-  "[typescript]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode"
-  },
-  "[typescriptreact]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode"
-  },
   "[json]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
   "[jsonc]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
-  "[css]": {
-    "editor.defaultFormatter": "esbenp.prettier-vscode"
+  "[markdown]": {
+    "files.trimTrailingWhitespace": false
   },
   "[scss]": {
     "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
-  "[markdown]": {
-    "files.trimTrailingWhitespace": false
+  "[typescript]": {
+    "editor.defaultFormatter": "esbenp.prettier-vscode"
   },
-  "i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
-  "i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
-  "i18n-ally.keystyle": "nested", // 翻译路径格式
-  "i18n-ally.sortKeys": true, // 排序
-  "i18n-ally.namespace": true, // 开启命名空间
-  "i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
-  "i18n-ally.sourceLanguage": "en-us", // 翻译源语言
+  "[typescriptreact]": {
+    "editor.defaultFormatter": "esbenp.prettier-vscode"
+  },
+  "editor.codeActionsOnSave": {
+    "source.fixAll.eslint": "explicit",
+    "source.organizeImports": "never"
+  },
+  "editor.formatOnSave": true,
+  "files.eol": "\n",
   "i18n-ally.displayLanguage": "zh-cn",
-  "i18n-ally.fullReloadOnChanged": true // 界面显示语言
+  "i18n-ally.enabledFrameworks": ["react-i18next", "i18next"],
+  "i18n-ally.enabledParsers": ["ts", "js", "json"], // 解析语言
+  "i18n-ally.fullReloadOnChanged": true, // 界面显示语言
+  "i18n-ally.keystyle": "nested", // 翻译路径格式
+  "i18n-ally.localesPaths": ["src/renderer/src/i18n/locales"],
+  // "i18n-ally.namespace": true, // 开启命名空间
+  "i18n-ally.sortKeys": true, // 排序
+  "i18n-ally.sourceLanguage": "zh-cn", // 翻译源语言
+  "i18n-ally.usage.derivedKeyRules": ["{key}_one", "{key}_other"], // 标记单复数形式的键为已翻译
+  "search.exclude": {
+    "**/dist/**": true,
+    ".yarn/releases/**": true
+  }
 }

.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch

@@ -0,0 +1,196 @@
+diff --git a/client.js b/client.js
+index c2b9cd6e46f9f66f901af259661bc2d2f8b38936..9b6b3af1a6573e1ccaf3a1c5f41b48df198cbbe0 100644
+--- a/client.js
++++ b/client.js
+@@ -26,7 +26,7 @@ Object.defineProperty(exports, "__esModule", { value: true });
+ exports.AnthropicVertex = exports.BaseAnthropic = void 0;
+ const client_1 = require("@anthropic-ai/sdk/client");
+ const Resources = __importStar(require("@anthropic-ai/sdk/resources/index"));
+-const google_auth_library_1 = require("google-auth-library");
++// const google_auth_library_1 = require("google-auth-library");
+ const env_1 = require("./internal/utils/env.js");
+ const values_1 = require("./internal/utils/values.js");
+ const headers_1 = require("./internal/headers.js");
+@@ -56,7 +56,7 @@ class AnthropicVertex extends client_1.BaseAnthropic {
+             throw new Error('No region was given. The client should be instantiated with the `region` option or the `CLOUD_ML_REGION` environment variable should be set.');
+         }
+         super({
+-            baseURL: baseURL || `https://${region}-aiplatform.googleapis.com/v1`,
++            baseURL: baseURL || (region === 'global' ? 'https://aiplatform.googleapis.com/v1' : `https://${region}-aiplatform.googleapis.com/v1`),
+             ...opts,
+         });
+         this.messages = makeMessagesResource(this);
+@@ -64,22 +64,22 @@ class AnthropicVertex extends client_1.BaseAnthropic {
+         this.region = region;
+         this.projectId = projectId;
+         this.accessToken = opts.accessToken ?? null;
+-        this._auth =
+-            opts.googleAuth ?? new google_auth_library_1.GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+-        this._authClientPromise = this._auth.getClient();
++        // this._auth =
++        //    opts.googleAuth ?? new google_auth_library_1.GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
++        // this._authClientPromise = this._auth.getClient();
+     }
+     validateHeaders() {
+         // auth validation is handled in prepareOptions since it needs to be async
+     }
+-    async prepareOptions(options) {
+-        const authClient = await this._authClientPromise;
+-        const authHeaders = await authClient.getRequestHeaders();
+-        const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+-        if (!this.projectId && projectId) {
+-            this.projectId = projectId;
+-        }
+-        options.headers = (0, headers_1.buildHeaders)([authHeaders, options.headers]);
+-    }
++        // async prepareOptions(options) {
++        //     const authClient = await this._authClientPromise;
++        //     const authHeaders = await authClient.getRequestHeaders();
++        //     const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
++        //     if (!this.projectId && projectId) {
++        //         this.projectId = projectId;
++        //     }
++        //     options.headers = (0, headers_1.buildHeaders)([authHeaders, options.headers]);
++        // }
+     buildRequest(options) {
+         if ((0, values_1.isObj)(options.body)) {
+             // create a shallow copy of the request body so that code that mutates it later
+diff --git a/client.mjs b/client.mjs
+index 70274cbf38f69f87cbcca9567e77e4a7b938cf90..4dea954b6f4afad565663426b7adfad5de973a7d 100644
+--- a/client.mjs
++++ b/client.mjs
+@@ -1,6 +1,6 @@
+ import { BaseAnthropic } from '@anthropic-ai/sdk/client';
+ import * as Resources from '@anthropic-ai/sdk/resources/index';
+-import { GoogleAuth } from 'google-auth-library';
++// import { GoogleAuth } from 'google-auth-library';
+ import { readEnv } from "./internal/utils/env.mjs";
+ import { isObj } from "./internal/utils/values.mjs";
+ import { buildHeaders } from "./internal/headers.mjs";
+@@ -29,7 +29,7 @@ export class AnthropicVertex extends BaseAnthropic {
+             throw new Error('No region was given. The client should be instantiated with the `region` option or the `CLOUD_ML_REGION` environment variable should be set.');
+         }
+         super({
+-            baseURL: baseURL || `https://${region}-aiplatform.googleapis.com/v1`,
++            baseURL: baseURL || (region === 'global' ? 'https://aiplatform.googleapis.com/v1' : `https://${region}-aiplatform.googleapis.com/v1`),
+             ...opts,
+         });
+         this.messages = makeMessagesResource(this);
+@@ -37,22 +37,22 @@ export class AnthropicVertex extends BaseAnthropic {
+         this.region = region;
+         this.projectId = projectId;
+         this.accessToken = opts.accessToken ?? null;
+-        this._auth =
+-            opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+-        this._authClientPromise = this._auth.getClient();
++        // this._auth =
++        //    opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
++        //this._authClientPromise = this._auth.getClient();
+     }
+     validateHeaders() {
+         // auth validation is handled in prepareOptions since it needs to be async
+     }
+-    async prepareOptions(options) {
+-        const authClient = await this._authClientPromise;
+-        const authHeaders = await authClient.getRequestHeaders();
+-        const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+-        if (!this.projectId && projectId) {
+-            this.projectId = projectId;
+-        }
+-        options.headers = buildHeaders([authHeaders, options.headers]);
+-    }
++    // async prepareOptions(options) {
++    //     const authClient = await this._authClientPromise;
++    //     const authHeaders = await authClient.getRequestHeaders();
++    //     const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
++    //     if (!this.projectId && projectId) {
++    //         this.projectId = projectId;
++    //     }
++    //     options.headers = buildHeaders([authHeaders, options.headers]);
++    // }
+     buildRequest(options) {
+         if (isObj(options.body)) {
+             // create a shallow copy of the request body so that code that mutates it later
+diff --git a/src/client.ts b/src/client.ts
+index a6f9c6be65e4189f4f9601fb560df3f68e7563eb..37b1ad2802e3ca0dae4ca35f9dcb5b22dcf09796 100644
+--- a/src/client.ts
++++ b/src/client.ts
+@@ -12,22 +12,22 @@ export { BaseAnthropic } from '@anthropic-ai/sdk/client';
+ const DEFAULT_VERSION = 'vertex-2023-10-16';
+ const MODEL_ENDPOINTS = new Set<string>(['/v1/messages', '/v1/messages?beta=true']);
+ 
+-export type ClientOptions = Omit<CoreClientOptions, 'apiKey' | 'authToken'> & {
+-  region?: string | null | undefined;
+-  projectId?: string | null | undefined;
+-  accessToken?: string | null | undefined;
+-
+-  /**
+-   * Override the default google auth config using the
+-   * [google-auth-library](https://www.npmjs.com/package/google-auth-library) package.
+-   *
+-   * Note that you'll likely have to set `scopes`, e.g.
+-   * ```ts
+-   * new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' })
+-   * ```
+-   */
+-  googleAuth?: GoogleAuth | null | undefined;
+-};
++// export type ClientOptions = Omit<CoreClientOptions, 'apiKey' | 'authToken'> & {
++//   region?: string | null | undefined;
++//   projectId?: string | null | undefined;
++//   accessToken?: string | null | undefined;
++
++//   /**
++//    * Override the default google auth config using the
++//    * [google-auth-library](https://www.npmjs.com/package/google-auth-library) package.
++//    *
++//    * Note that you'll likely have to set `scopes`, e.g.
++//    * ```ts
++//    * new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' })
++//    * ```
++//    */
++//   googleAuth?: GoogleAuth | null | undefined;
++// };
+ 
+ export class AnthropicVertex extends BaseAnthropic {
+   region: string;
+@@ -74,9 +74,9 @@ export class AnthropicVertex extends BaseAnthropic {
+     this.projectId = projectId;
+     this.accessToken = opts.accessToken ?? null;
+ 
+-    this._auth =
+-      opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
+-    this._authClientPromise = this._auth.getClient();
++    // this._auth =
++    //   opts.googleAuth ?? new GoogleAuth({ scopes: 'https://www.googleapis.com/auth/cloud-platform' });
++    // this._authClientPromise = this._auth.getClient();
+   }
+ 
+   messages: MessagesResource = makeMessagesResource(this);
+@@ -86,17 +86,17 @@ export class AnthropicVertex extends BaseAnthropic {
+     // auth validation is handled in prepareOptions since it needs to be async
+   }
+ 
+-  protected override async prepareOptions(options: FinalRequestOptions): Promise<void> {
+-    const authClient = await this._authClientPromise;
++  // protected override async prepareOptions(options: FinalRequestOptions): Promise<void> {
++  //   const authClient = await this._authClientPromise;
+ 
+-    const authHeaders = await authClient.getRequestHeaders();
+-    const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
+-    if (!this.projectId && projectId) {
+-      this.projectId = projectId;
+-    }
++  //   const authHeaders = await authClient.getRequestHeaders();
++  //   const projectId = authClient.projectId ?? authHeaders['x-goog-user-project'];
++  //   if (!this.projectId && projectId) {
++  //     this.projectId = projectId;
++  //   }
+ 
+-    options.headers = buildHeaders([authHeaders, options.headers]);
+-  }
++  //   options.headers = buildHeaders([authHeaders, options.headers]);
++  // }
+ 
+   override buildRequest(options: FinalRequestOptions): {
+     req: FinalizedRequestInit;

.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch

@@ -0,0 +1,12 @@
+diff --git a/dist/utils/temp.js b/dist/utils/temp.js
+index c0844f640f7927ff87edda13f7c853d10ebb8dd0..3ca3d29e0f4ee700c43ebde47002883955b664b3 100644
+--- a/dist/utils/temp.js
++++ b/dist/utils/temp.js
+@@ -2,6 +2,7 @@
+ /* IMPORT */
+ Object.defineProperty(exports, "__esModule", { value: true });
+ const path = require("path");
++const process = require("process");
+ const consts_1 = require("../consts");
+ const fs_1 = require("./fs");
+ /* TEMP */

.yarn/patches/file-stream-rotator-npm-0.6.1-eab45fb13d.patch

@@ -0,0 +1,13 @@
+diff --git a/FileStreamRotator.js b/FileStreamRotator.js
+index 639bb9c8f972ba672bd27d9f8b1739d1030cb44b..a12a6d93b61fe782e981027248fa10876151f65f 100644
+--- a/FileStreamRotator.js
++++ b/FileStreamRotator.js
+@@ -12,7 +12,7 @@
+  */
+ var fs = require('fs');
+ var path = require('path');
+-var moment = require('moment');
++var moment = require('moment').default || require('moment');
+ var crypto = require('crypto');
+ 
+ var EventEmitter = require('events');

AGENT.md

@@ -0,0 +1 @@
+CLAUDE.md

CLAUDE.md

@@ -0,0 +1,105 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Development Commands
+
+### Environment Setup
+- **Prerequisites**: Node.js v20.x.x, Yarn 4.6.0
+- **Setup Yarn**: `corepack enable && corepack prepare yarn@4.6.0 --activate`
+- **Install Dependencies**: `yarn install`
+
+### Development
+- **Start Development**: `yarn dev` - Runs Electron app in development mode
+- **Debug Mode**: `yarn debug` - Starts with debugging enabled, use chrome://inspect
+
+### Testing & Quality
+- **Run Tests**: `yarn test` - Runs all tests (Vitest)
+- **Run E2E Tests**: `yarn test:e2e` - Playwright end-to-end tests
+- **Type Check**: `yarn typecheck` - Checks TypeScript for both node and web
+- **Lint**: `yarn lint` - ESLint with auto-fix
+- **Format**: `yarn format` - Prettier formatting
+
+### Build & Release
+- **Build**: `yarn build` - Builds for production (includes typecheck)
+- **Platform-specific builds**:
+  - Windows: `yarn build:win`
+  - macOS: `yarn build:mac`
+  - Linux: `yarn build:linux`
+
+## Architecture Overview
+
+### Electron Multi-Process Architecture
+- **Main Process** (`src/main/`): Node.js backend handling system integration, file operations, and services
+- **Renderer Process** (`src/renderer/`): React-based UI running in Chromium
+- **Preload Scripts** (`src/preload/`): Secure bridge between main and renderer processes
+
+### Key Architectural Components
+
+#### Main Process Services (`src/main/services/`)
+- **MCPService**: Model Context Protocol server management
+- **KnowledgeService**: Document processing and knowledge base management
+- **FileStorage/S3Storage/WebDav**: Multiple storage backends
+- **WindowService**: Multi-window management (main, mini, selection windows)
+- **ProxyManager**: Network proxy handling
+- **SearchService**: Full-text search capabilities
+
+#### AI Core (`src/renderer/src/aiCore/`)
+- **Middleware System**: Composable pipeline for AI request processing
+- **Client Factory**: Supports multiple AI providers (OpenAI, Anthropic, Gemini, etc.)
+- **Stream Processing**: Real-time response handling
+
+#### State Management (`src/renderer/src/store/`)
+- **Redux Toolkit**: Centralized state management
+- **Persistent Storage**: Redux-persist for data persistence
+- **Thunks**: Async actions for complex operations
+
+#### Knowledge Management
+- **Embeddings**: Vector search with multiple providers (OpenAI, Voyage, etc.)
+- **OCR**: Document text extraction (system OCR, Doc2x, Mineru)
+- **Preprocessing**: Document preparation pipeline
+- **Loaders**: Support for various file formats (PDF, DOCX, EPUB, etc.)
+
+### Build System
+- **Electron-Vite**: Development and build tooling
+- **Workspaces**: Monorepo structure with `packages/` directory
+- **Multiple Entry Points**: Main app, mini window, selection toolbar
+- **Styled Components**: CSS-in-JS styling with SWC optimization
+
+### Testing Strategy
+- **Vitest**: Unit and integration testing
+- **Playwright**: End-to-end testing
+- **Component Testing**: React Testing Library
+- **Coverage**: Available via `yarn test:coverage`
+
+### Key Patterns
+- **IPC Communication**: Secure main-renderer communication via preload scripts
+- **Service Layer**: Clear separation between UI and business logic
+- **Plugin Architecture**: Extensible via MCP servers and middleware
+- **Multi-language Support**: i18n with dynamic loading
+- **Theme System**: Light/dark themes with custom CSS variables
+
+## Logging Standards
+
+### Usage
+```typescript
+// Main process
+import { loggerService } from '@logger'
+const logger = loggerService.withContext('moduleName')
+
+// Renderer process (set window source first)
+loggerService.initWindowSource('windowName')
+const logger = loggerService.withContext('moduleName')
+
+// Logging
+logger.info('message', CONTEXT)
+logger.error('message', new Error('error'), CONTEXT)
+```
+
+### Log Levels (highest to lowest)
+- `error` - Critical errors causing crash/unusable functionality
+- `warn` - Potential issues that don't affect core functionality
+- `info` - Application lifecycle and key user actions
+- `verbose` - Detailed flow information for feature tracing
+- `debug` - Development diagnostic info (not for production)
+- `silly` - Extreme debugging, low-level information

PRD.md

@@ -0,0 +1,665 @@
+# Product Requirements Document (PRD)
+## Cherry Studio AI Agent Command Interface
+
+### 1. Overview
+
+**Product Name**: Cherry Studio AI Agent Command Interface  
+**Version**: 1.0  
+**Date**: July 30, 2025  
+
+**Vision**: Create a conversational AI Agent interface in Cherry Studio that enables users to execute shell commands through natural language interaction, with seamless communication between the renderer and main processes, providing an intelligent command execution experience.
+
+### 2. Scope & Objectives
+
+This PRD focuses on two core areas:
+
+#### 2.1 Core Implementation Scope
+- **Renderer ↔ Main Process Communication**: Robust IPC communication for command execution
+- **Shell Command Execution**: Safe and efficient shell command processing in the main process
+- **Real-time Output Streaming**: Live command output display integrated into chat interface
+- **AI Agent Integration**: Natural language command interpretation and execution workflow
+
+#### 2.2 UI/UX Design Scope  
+- **Conversational Interface Design**: Chat-like UI that fits Cherry Studio's design language
+- **Command Agent Experience**: AI-powered command interpretation and execution feedback
+- **Interactive Output Display**: Rich formatting of command results within chat messages
+- **Responsive Design**: Consistent chat experience across different window sizes and layouts
+
+### 3. Technical Requirements
+
+#### 3.1 Core Implementation Requirements
+
+##### 3.1.1 IPC Communication Architecture
+**Requirement**: Establish bidirectional communication between renderer and main processes for AI Agent command execution
+
+**Technical Specifications**:
+- **Agent Command Request Flow**: Renderer → Main Process
+  ```typescript
+  interface AgentCommandRequest {
+    id: string
+    messageId: string  // Chat message ID for correlation
+    command: string
+    workingDirectory?: string
+    timeout?: number
+    environment?: Record<string, string>
+    context?: string   // Additional context from chat conversation
+  }
+  ```
+
+- **Agent Output Streaming Flow**: Main Process → Renderer
+  ```typescript
+  interface AgentCommandOutput {
+    id: string
+    messageId: string  // Chat message ID for correlation
+    type: 'stdout' | 'stderr' | 'exit' | 'error' | 'progress'
+    data: string
+    exitCode?: number
+    timestamp: number
+  }
+  ```
+
+- **IPC Channel Names**:
+  - `agent-command-execute` (Renderer → Main)
+  - `agent-command-output` (Main → Renderer)
+  - `agent-command-interrupt` (Renderer → Main)
+
+##### 3.1.2 Main Process Agent Command Service
+**Requirement**: Create a new `AgentCommandService` in the main process
+
+**Technical Specifications**:
+- **Service Location**: `src/main/services/AgentCommandService.ts`
+- **Core Methods**:
+  ```typescript
+  class AgentCommandService {
+    executeCommand(request: AgentCommandRequest): Promise<void>
+    interruptCommand(commandId: string): Promise<void>
+    getRunningCommands(): string[]
+    setWorkingDirectory(path: string): void
+    formatCommandOutput(output: string, type: string): string
+  }
+  ```
+
+- **Process Management**:
+  - Use Node.js `child_process.spawn()` for command execution
+  - Support real-time stdout/stderr streaming to chat interface
+  - Handle process interruption via chat commands
+  - Maintain working directory state per agent session
+  - Format output for better chat display (tables, JSON, etc.)
+
+- **Error Handling**:
+  - Command not found errors with helpful suggestions
+  - Permission denied errors with explanations
+  - Timeout handling with progress updates
+  - Process termination with cleanup notifications
+
+##### 3.1.3 Renderer Process Integration
+**Requirement**: Implement AI Agent command functionality in the renderer process
+
+**Technical Specifications**:
+- **Service Location**: `src/renderer/src/services/AgentCommandService.ts`
+- **Component Integration**: Agent chat page and command execution components
+- **State Management**: Chat session state, command history, output formatting
+- **Message Correlation**: Link command outputs to specific chat messages
+
+#### 3.2 Performance Requirements
+- **Command Response Time**: < 100ms for command initiation
+- **Output Streaming Latency**: < 50ms for real-time output display
+- **Memory Management**: Efficient handling of large command outputs (>10MB)
+- **Concurrent Commands**: Support up to 5 simultaneous command executions
+
+#### 3.3 Security Requirements
+- **Command Validation**: Basic validation for dangerous commands
+- **Working Directory Restrictions**: Respect file system permissions
+- **Environment Variable Handling**: Secure handling of environment variables
+- **Process Isolation**: Commands run with application user privileges
+
+### 4. UI/UX Design Requirements
+
+#### 4.1 Design Principles
+**Target Audience**: Senior Frontend and UI Designers  
+**Design Goals**: Create an intuitive, conversational AI Agent interface that enhances developer productivity through natural language command execution
+
+##### 4.1.1 Visual Design Requirements
+- **Design System Integration**: Follow Cherry Studio's existing chat design patterns
+- **Theme Support**: Light/dark theme compatibility
+- **Typography**: Mix of regular chat font and monospace for command outputs
+- **Color Scheme**: Distinct styling for user messages, agent responses, and command outputs
+- **Message Bubbles**: Clear visual distinction between conversation and command execution
+
+##### 4.1.2 Layout Requirements
+**Primary Layout Structure** (Chat Interface):
+```
+┌─────────────────────────────────────┐
+│ Agent Header (name + status + controls) │
+├─────────────────────────────────────┤
+│                                     │
+│        Chat Messages Area           │
+│     (user messages + agent replies  │
+│      + command outputs)             │
+│                                     │
+├─────────────────────────────────────┤
+│ Message Input (natural language)    │
+└─────────────────────────────────────┘
+```
+
+**Responsive Considerations**:
+- Minimum width: 320px (mobile)
+- Optimal width: 600-800px (desktop)
+- Message bubbles adapt to content width
+- Command outputs can expand full width
+
+##### 4.1.3 Component Specifications
+
+**Agent Header Component**:
+- Agent name and avatar
+- Working directory indicator
+- Active command status (running/idle)
+- Session controls (clear chat, export logs)
+
+**Chat Messages Component**:
+- **User Messages**: Standard chat bubbles for natural language input
+- **Agent Responses**: AI responses explaining commands or asking for clarification
+- **Command Execution Messages**: Special formatting for:
+  - Command being executed (with syntax highlighting)
+  - Real-time output streaming (scrollable, copyable)
+  - Execution status (success/error/interrupted)
+  - Formatted results (tables, JSON, file listings)
+
+**Message Input Component**:
+- Natural language input field
+- Send button with loading state during command execution
+- Suggestion chips for common requests
+- Support for follow-up questions and command modifications
+
+#### 4.2 User Experience Requirements
+
+##### 4.2.1 Interaction Patterns
+**Conversational Flow**:
+- User types natural language requests ("list files in src directory")
+- Agent interprets and confirms command before execution
+- Real-time command output appears in chat
+- User can ask follow-up questions or modify commands
+
+**Keyboard Shortcuts**:
+- `Enter`: Send message/command
+- `Ctrl+Enter`: Force command execution without confirmation
+- `Ctrl+K`: Interrupt running command
+- `Ctrl+L`: Clear chat history
+- `↑/↓`: Navigate message input history
+
+**Mouse Interactions**:
+- Click on command outputs to copy
+- Click on file paths to open in Cherry Studio
+- Hover over commands for quick actions (copy, re-run, modify)
+
+##### 4.2.2 Feedback & Status Indicators
+**Visual Feedback Requirements**:
+- **Agent Thinking**: Typing indicator while processing user request
+- **Command Execution**: Progress indicator and real-time output streaming
+- **Execution Status**: Success/error/warning indicators in message bubbles
+- **Working Directory**: Persistent display in agent header
+- **Command History**: Visual indication of previous commands in chat
+
+##### 4.2.3 Accessibility Requirements
+- **Keyboard Navigation**: Full chat functionality accessible via keyboard
+- **Screen Reader Support**: Proper ARIA labels for chat messages and command outputs
+- **High Contrast**: Support for high contrast themes in all message types
+- **Focus Management**: Logical tab order through chat interface
+
+#### 4.3 Advanced UX Features (Future Considerations)
+- **Command Suggestions**: AI-powered suggestions based on current context
+- **Smart Output Formatting**: Automatic formatting for JSON, tables, logs, etc.
+- **File Integration**: Deep integration with Cherry Studio's file management
+- **Session Memory**: Agent remembers context across chat sessions
+- **Multi-step Workflows**: Support for complex, multi-command operations
+
+### 5. Implementation Approach
+
+#### 5.1 Development Phases
+**Phase 1: Core Infrastructure** (2-3 weeks)
+- Implement AgentCommandService in main process
+- Establish IPC communication for chat-command flow
+- Basic command execution and output streaming to chat interface
+
+**Phase 2: AI Agent Chat Interface** (3-4 weeks)
+- Design and implement conversational chat components
+- Create command execution message types and formatting
+- Integrate natural language command interpretation
+- Implement real-time output streaming in chat bubbles
+
+**Phase 3: Enhanced Agent Features** (2-3 weeks)
+- Add command confirmation and clarification flows
+- Implement smart output formatting (tables, JSON, etc.)
+- Add working directory management in chat context
+- Integrate with Cherry Studio's existing AI infrastructure
+
+#### 5.2 Integration Points
+- **Router Integration**: Add `/agent` or `/command-agent` route to `src/renderer/src/Router.tsx`
+- **Navigation**: Add agent icon to Cherry Studio's main navigation
+- **AI Core Integration**: Leverage existing AI infrastructure for command interpretation
+- **Settings Integration**: Agent preferences in application settings
+- **Chat System**: Reuse existing chat components and patterns from Cherry Studio
+
+### 6. Success Metrics
+
+#### 6.1 Technical Metrics
+- Command execution success rate: >99%
+- Average command response time: <100ms
+- Output streaming latency: <50ms
+- Zero memory leaks during extended usage
+
+#### 6.2 User Experience Metrics
+- User adoption rate within first month
+- Average chat session duration
+- Natural language command interpretation accuracy
+- Command execution success rate through conversational interface
+- User feedback scores on AI Agent usability and helpfulness
+
+### 7. Dependencies & Constraints
+
+#### 7.1 Technical Dependencies
+- Node.js `child_process` module
+- Electron IPC capabilities
+- Cherry Studio's existing service architecture
+- React/TypeScript frontend stack
+- Cherry Studio's AI Core infrastructure
+- Existing chat components and design system
+
+#### 7.2 Platform Constraints
+- Cross-platform compatibility (Windows, macOS, Linux)
+- Shell availability on target platforms
+- File system permission handling
+
+---
+
+## 8. Proof of Concept (POC) Implementation
+
+### 8.1 POC Objectives
+
+**Primary Goal**: Validate the core concept of chat-based command execution with minimal implementation complexity.
+
+**Key Validation Points**:
+- User experience of command execution through chat interface
+- Technical feasibility of IPC communication for real-time output streaming
+- Performance characteristics of command output display in chat bubbles
+- Cross-platform compatibility of basic shell command execution
+
+### 8.2 POC Scope & Limitations
+
+#### 8.2.1 Included Features
+✅ **Direct Command Execution**: Users type shell commands directly (no AI interpretation)  
+✅ **Real-time Output Streaming**: Command output appears live in chat bubbles  
+✅ **Basic Chat Interface**: Simple message list with input field  
+✅ **Command History**: Navigate previous commands with arrow keys  
+✅ **Cross-platform Support**: Works on Windows, macOS, and Linux  
+✅ **Process Management**: Start/stop command execution  
+
+#### 8.2.2 Excluded Features (Future Work)
+❌ AI natural language interpretation of commands  
+❌ Command confirmation or clarification flows  
+❌ Advanced output formatting (tables, JSON highlighting)  
+❌ Security validation and command filtering  
+❌ Session persistence between app restarts  
+❌ Multiple concurrent command execution  
+❌ Working directory management UI  
+❌ Integration with Cherry Studio's AI core  
+
+### 8.3 Technical Architecture
+
+#### 8.3.1 Component Structure
+```
+src/renderer/src/pages/command-poc/
+├── CommandPocPage.tsx              # Main container component
+├── components/
+│   ├── PocHeader.tsx              # Header with working directory
+│   ├── PocMessageList.tsx         # Scrollable message container
+│   ├── PocMessageBubble.tsx       # Individual message display
+│   ├── PocCommandInput.tsx        # Command input with history
+│   └── PocStatusBar.tsx           # Command execution status
+├── hooks/
+│   ├── usePocMessages.ts          # Message state management
+│   ├── usePocCommand.ts           # Command execution logic
+│   └── useCommandHistory.ts       # Input history navigation
+└── types.ts                       # POC-specific TypeScript interfaces
+```
+
+#### 8.3.2 Data Structures
+```typescript
+interface PocMessage {
+  id: string
+  type: 'user-command' | 'output' | 'error' | 'system'
+  content: string
+  timestamp: number
+  commandId?: string  // Links output to originating command
+  isComplete: boolean // For streaming messages
+}
+
+interface PocCommandExecution {
+  id: string
+  command: string
+  startTime: number
+  endTime?: number
+  exitCode?: number
+  isRunning: boolean
+}
+```
+
+#### 8.3.3 IPC Communication
+```typescript
+// Renderer → Main Process
+interface PocExecuteCommandRequest {
+  id: string
+  command: string
+  workingDirectory: string
+}
+
+// Main Process → Renderer
+interface PocCommandOutput {
+  commandId: string
+  type: 'stdout' | 'stderr' | 'exit' | 'error'
+  data: string
+  exitCode?: number
+}
+
+// IPC Channels
+const IPC_CHANNELS = {
+  EXECUTE_COMMAND: 'poc-execute-command',
+  COMMAND_OUTPUT: 'poc-command-output',
+  INTERRUPT_COMMAND: 'poc-interrupt-command'
+}
+```
+
+### 8.4 Implementation Details
+
+#### 8.4.1 Main Process Implementation
+**File**: `src/main/poc/commandExecutor.ts`
+```typescript
+class PocCommandExecutor {
+  private activeProcesses = new Map<string, ChildProcess>()
+  
+  executeCommand(request: PocExecuteCommandRequest) {
+    const { spawn } = require('child_process')
+    const shell = process.platform === 'win32' ? 'cmd' : 'bash'
+    const args = process.platform === 'win32' ? ['/c'] : ['-c']
+    
+    const child = spawn(shell, [...args, request.command], {
+      cwd: request.workingDirectory
+    })
+    
+    this.activeProcesses.set(request.id, child)
+    
+    // Stream output handling
+    child.stdout.on('data', (data) => {
+      this.sendOutput(request.id, 'stdout', data.toString())
+    })
+    
+    child.stderr.on('data', (data) => {
+      this.sendOutput(request.id, 'stderr', data.toString())
+    })
+    
+    child.on('close', (code) => {
+      this.sendOutput(request.id, 'exit', '', code)
+      this.activeProcesses.delete(request.id)
+    })
+  }
+}
+```
+
+#### 8.4.2 Renderer Process Implementation
+**State Management Strategy**:
+```typescript
+const usePocMessages = () => {
+  const [messages, setMessages] = useState<PocMessage[]>([])
+  const [activeCommand, setActiveCommand] = useState<string | null>(null)
+  
+  const addUserCommand = (command: string) => {
+    const commandMessage: PocMessage = {
+      id: uuid(),
+      type: 'user-command',
+      content: command,
+      timestamp: Date.now(),
+      isComplete: true
+    }
+    
+    const outputMessage: PocMessage = {
+      id: uuid(),
+      type: 'output',
+      content: '',
+      timestamp: Date.now(),
+      commandId: commandMessage.id,
+      isComplete: false
+    }
+    
+    setMessages(prev => [...prev, commandMessage, outputMessage])
+    return outputMessage.id
+  }
+  
+  const appendOutput = (messageId: string, data: string) => {
+    setMessages(prev => prev.map(msg => 
+      msg.id === messageId 
+        ? { ...msg, content: msg.content + data }
+        : msg
+    ))
+  }
+}
+```
+
+**Output Streaming with Buffering**:
+```typescript
+const useOutputBuffer = () => {
+  const bufferRef = useRef<string>('')
+  const timeoutRef = useRef<NodeJS.Timeout>()
+  
+  const bufferOutput = (data: string, messageId: string) => {
+    bufferRef.current += data
+    
+    clearTimeout(timeoutRef.current)
+    timeoutRef.current = setTimeout(() => {
+      appendOutput(messageId, bufferRef.current)
+      bufferRef.current = ''
+    }, 100) // 100ms debounce
+  }
+}
+```
+
+#### 8.4.3 UI Components
+**Message Bubble Component**:
+```typescript
+const PocMessageBubble: React.FC<{ message: PocMessage }> = ({ message }) => {
+  const isUserCommand = message.type === 'user-command'
+  
+  return (
+    <MessageContainer isUser={isUserCommand}>
+      {isUserCommand ? (
+        <CommandBubble>
+          <CommandPrefix>$</CommandPrefix>
+          <CommandText>{message.content}</CommandText>
+        </CommandBubble>
+      ) : (
+        <OutputBubble>
+          <pre>{message.content}</pre>
+          {!message.isComplete && <LoadingDots />}
+        </OutputBubble>
+      )}
+    </MessageContainer>
+  )
+}
+```
+
+**Command Input with History**:
+```typescript
+const PocCommandInput: React.FC = ({ onSendCommand }) => {
+  const [input, setInput] = useState('')
+  const { history, addToHistory, navigateHistory } = useCommandHistory()
+  
+  const handleKeyDown = (e: React.KeyboardEvent) => {
+    switch (e.key) {
+      case 'Enter':
+        if (input.trim()) {
+          onSendCommand(input.trim())
+          addToHistory(input.trim())
+          setInput('')
+        }
+        break
+      case 'ArrowUp':
+        e.preventDefault()
+        setInput(navigateHistory('up'))
+        break
+      case 'ArrowDown':
+        e.preventDefault()
+        setInput(navigateHistory('down'))
+        break
+    }
+  }
+}
+```
+
+### 8.5 Cross-Platform Considerations
+
+#### 8.5.1 Shell Detection
+```typescript
+const getShellConfig = () => {
+  switch (process.platform) {
+    case 'win32':
+      return { shell: 'cmd', args: ['/c'] }
+    case 'darwin':
+    case 'linux':
+      return { shell: 'bash', args: ['-c'] }
+    default:
+      return { shell: 'sh', args: ['-c'] }
+  }
+}
+```
+
+#### 8.5.2 Path Handling
+```typescript
+const normalizeWorkingDirectory = (path: string) => {
+  return process.platform === 'win32' 
+    ? path.replace(/\//g, '\\')
+    : path.replace(/\\/g, '/')
+}
+```
+
+### 8.6 Performance Optimizations
+
+#### 8.6.1 Virtual Scrolling
+```typescript
+const PocMessageList: React.FC = ({ messages }) => {
+  const [visibleRange, setVisibleRange] = useState({ start: 0, end: 50 })
+  
+  // Only render visible messages for large message lists
+  const visibleMessages = messages.slice(
+    visibleRange.start, 
+    visibleRange.end
+  )
+  
+  return (
+    <VirtualScrollContainer onScroll={handleScroll}>
+      {visibleMessages.map(message => (
+        <PocMessageBubble key={message.id} message={message} />
+      ))}
+    </VirtualScrollContainer>
+  )
+}
+```
+
+#### 8.6.2 Output Truncation
+```typescript
+const MAX_OUTPUT_LENGTH = 1024 * 1024 // 1MB per message
+const MAX_TOTAL_MESSAGES = 1000
+
+const truncateIfNeeded = (content: string) => {
+  if (content.length > MAX_OUTPUT_LENGTH) {
+    return content.slice(0, MAX_OUTPUT_LENGTH) + '\n\n[Output truncated...]'
+  }
+  return content
+}
+```
+
+### 8.7 Testing Strategy
+
+#### 8.7.1 Manual Test Cases
+1. **Basic Commands**:
+   - `ls -la` / `dir` (directory listing)
+   - `pwd` / `cd` (working directory)
+   - `echo "Hello World"` (simple output)
+
+2. **Streaming Output**:
+   - `ping google.com -c 5` (timed output)
+   - `find . -name "*.ts"` (large output)
+   - `npm install` (mixed stdout/stderr)
+
+3. **Error Scenarios**:
+   - `nonexistentcommand` (command not found)
+   - `cat /root/protected` (permission denied)
+   - Long-running command interruption
+
+4. **Cross-Platform**:
+   - Test on Windows, macOS, and Linux
+   - Verify shell detection works correctly
+   - Check path handling differences
+
+#### 8.7.2 Performance Tests
+- **Large Output**: Commands generating >100MB output
+- **Rapid Output**: Commands with high-frequency output
+- **Memory Usage**: Monitor memory consumption during long sessions
+- **UI Responsiveness**: Ensure UI remains responsive during command execution
+
+### 8.8 Success Criteria
+
+#### 8.8.1 Functional Requirements
+✅ Users can execute shell commands through chat interface  
+✅ Command output streams in real-time to chat bubbles  
+✅ Command history navigation works with arrow keys  
+✅ Cross-platform compatibility (Windows/macOS/Linux)  
+✅ Process interruption works reliably  
+
+#### 8.8.2 Performance Requirements
+✅ Command execution starts within 100ms of user sending  
+✅ Output streaming latency < 200ms  
+✅ UI remains responsive with outputs up to 10MB  
+✅ Memory usage remains stable during extended use  
+
+#### 8.8.3 User Experience Requirements
+✅ Chat interface feels natural and intuitive  
+✅ Clear visual distinction between commands and output  
+✅ Loading indicators provide appropriate feedback  
+✅ Auto-scroll behavior works as expected  
+
+### 8.9 Implementation Timeline
+
+**Phase 1: Core Infrastructure** (Day 1)
+- Set up POC page structure and routing
+- Implement basic IPC communication
+- Create simple command execution in main process
+
+**Phase 2: Basic UI** (Day 2)  
+- Build message display components
+- Implement command input with history
+- Add basic styling and layout
+
+**Phase 3: Streaming & Polish** (Day 3)
+- Implement real-time output streaming
+- Add loading states and status indicators
+- Test cross-platform compatibility
+
+**Phase 4: Testing & Refinement** (Day 4)
+- Comprehensive manual testing
+- Performance optimization
+- Bug fixes and UX improvements
+
+**Total Estimated Time: 4 days**
+
+### 8.10 Migration Path to Production
+
+The POC provides a foundation for the full production implementation:
+
+1. **Component Reusability**: POC components can be enhanced rather than rewritten
+2. **Architecture Validation**: IPC patterns proven in POC extend to production
+3. **User Feedback**: POC enables early user testing and feedback collection
+4. **Performance Baseline**: POC establishes performance expectations
+5. **Cross-platform Foundation**: Platform compatibility issues resolved early
+
+---
+
+This PRD provides a focused scope for implementing a robust AI Agent command interface that enhances Cherry Studio's development capabilities through natural language interaction, while maintaining high standards for both technical implementation and user experience design.

README.md

@@ -13,7 +13,7 @@
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=fr">Français</a></p>
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=de">Deutsch</a></p>
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=es">Español</a></p>
-        <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Itapano</a></p>
+        <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=it">Italiano</a></p>
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=ru">Русский</a></p>
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=pt">Português</a></p>
         <p><a href="https://openaitx.github.io/view.html?user=CherryHQ&project=cherry-studio&lang=nl">Nederlands</a></p>
@@ -63,7 +63,7 @@
 
 # 🍒 Cherry Studio
 
-Cherry Studio is a desktop client that supports for multiple LLM providers, available on Windows, Mac and Linux.
+Cherry Studio is a desktop client that supports multiple LLM providers, available on Windows, Mac and Linux.
 
 👏 Join [Telegram Group](https://t.me/CherryStudioAI)｜[Discord](https://discord.gg/wez8HtpxqQ) | [QQ Group(575014769)](https://qm.qq.com/q/lo0D4qVZKi)
 
@@ -93,7 +93,7 @@ Cherry Studio is a desktop client that supports for multiple LLM providers, avai
 
 3. **Document & Data Processing**:
 
-- 📄 Support for Text, Images, Office, PDF, and more
+- 📄 Supports Text, Images, Office, PDF, and more
 - ☁️ WebDAV File Management and Backup
 - 📊 Mermaid Chart Visualization
 - 💻 Code Syntax Highlighting
@@ -110,7 +110,7 @@ Cherry Studio is a desktop client that supports for multiple LLM providers, avai
 5. **Enhanced User Experience**:
 
 - 🖥️ Cross-platform Support for Windows, Mac, and Linux
-- 📦 Ready to Use, No Environment Setup Required
+- 📦 Ready to Use - No Environment Setup Required
 - 🎨 Light/Dark Themes and Transparent Window
 - 📝 Complete Markdown Rendering
 - 🤲 Easy Content Sharing
@@ -121,11 +121,11 @@ We're actively working on the following features and improvements:
 
 1. 🎯 **Core Features**
 
-- Selection Assistant - Smart content selection enhancement
-- Deep Research - Advanced research capabilities
-- Memory System - Global context awareness
-- Document Preprocessing - Improved document handling
-- MCP Marketplace - Model Context Protocol ecosystem
+- Selection Assistant with smart content selection enhancement
+- Deep Research with advanced research capabilities
+- Memory System with global context awareness
+- Document Preprocessing with improved document handling
+- MCP Marketplace for Model Context Protocol ecosystem
 
 2. 🗂 **Knowledge Management**
 
@@ -199,7 +199,7 @@ To give back to our core contributors and create a virtuous cycle, we have estab
 
 **The inaugural tracking period for this program will be Q3 2025 (July, August, September). Rewards for this cycle will be distributed on October 1st.**
 
-Within any tracking period (e.g., July 1st to September 30th for the first cycle), any developer who contributes more than **30 meaningful commits** to any of Cherry Studio's open-source projects on GitHub is eligible for the following benefits:
+Within any tracking period (e.g., July 1st to September 30th for the first cycle), any developer who contributes more than **30 meaningful commits** to any of Cherry Studio's open-source projects on GitHub will be eligible for the following benefits:
 
 - **Cursor Subscription Sponsorship**: Receive a **$70 USD** credit or reimbursement for your [Cursor](https://cursor.sh/) subscription, making AI your most efficient coding partner.
 - **Unlimited Model Access**: Get **unlimited** API calls for the **DeepSeek** and **Qwen** models.
@@ -223,17 +223,17 @@ Let's build together.
 
 # 🏢 Enterprise Edition
 
-Building on the Community Edition, we are proud to introduce **Cherry Studio Enterprise Edition**—a privately deployable AI productivity and management platform designed for modern teams and enterprises.
+Building on the Community Edition, we are proud to introduce **Cherry Studio Enterprise Edition**—a privately-deployable AI productivity and management platform designed for modern teams and enterprises.
 
 The Enterprise Edition addresses core challenges in team collaboration by centralizing the management of AI resources, knowledge, and data. It empowers organizations to enhance efficiency, foster innovation, and ensure compliance, all while maintaining 100% control over their data in a secure environment.
 
 ## Core Advantages
 
 - **Unified Model Management**: Centrally integrate and manage various cloud-based LLMs (e.g., OpenAI, Anthropic, Google Gemini) and locally deployed private models. Employees can use them out-of-the-box without individual configuration.
-- **Enterprise-Grade Knowledge Base**: Build, manage, and share team-wide knowledge bases. Ensure knowledge is retained and consistent, enabling team members to interact with AI based on unified and accurate information.
+- **Enterprise-Grade Knowledge Base**: Build, manage, and share team-wide knowledge bases. Ensures knowledge retention and consistency, enabling team members to interact with AI based on unified and accurate information.
 - **Fine-Grained Access Control**: Easily manage employee accounts and assign role-based permissions for different models, knowledge bases, and features through a unified admin backend.
 - **Fully Private Deployment**: Deploy the entire backend service on your on-premises servers or private cloud, ensuring your data remains 100% private and under your control to meet the strictest security and compliance standards.
-- **Reliable Backend Services**: Provides stable API services, enterprise-grade data backup and recovery mechanisms to ensure business continuity.
+- **Reliable Backend Services**: Provides stable API services and enterprise-grade data backup and recovery mechanisms to ensure business continuity.
 
 ## ✨ Online Demo
 
@@ -247,23 +247,23 @@ The Enterprise Edition addresses core challenges in team collaboration by centra
 
 | Feature           | Community Edition                          | Enterprise Edition                                                                                                                      |
 | :---------------- | :----------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
-| **Open Source**   | ✅ Yes                                     | ⭕️ part. released to cust.                                                                                                              |
+| **Open Source**   | ✅ Yes                                     | ⭕️ Partially released to customers                                                                                                      |
 | **Cost**          | Free for Personal Use / Commercial License | Buyout / Subscription Fee                                                                                                               |
 | **Admin Backend** | —                                          | ● Centralized **Model** Access<br>● **Employee** Management<br>● Shared **Knowledge Base**<br>● **Access** Control<br>● **Data** Backup |
 | **Server**        | —                                          | ✅ Dedicated Private Deployment                                                                                                         |
 
 ## Get the Enterprise Edition
 
-We believe the Enterprise Edition will become your team's AI productivity engine. If you are interested in Cherry Studio Enterprise Edition and would like to learn more, request a quote, or schedule a demo, please contact us.
+We believe the Enterprise Edition will become your team's AI productivity engine. If you are interested in Cherry Studio Enterprise Edition and would like to learn more, request a quote, or schedule a demo, please feel free to contact us.
 
 - **For Business Inquiries & Purchasing**:
   **📧 [bd@cherry-ai.com](mailto:bd@cherry-ai.com)**
 
 # 🔗 Related Projects
 
-- [one-api](https://github.com/songquanpeng/one-api):LLM API management and distribution system, supporting mainstream models like OpenAI, Azure, and Anthropic. Features unified API interface, suitable for key management and secondary distribution.
+- [one-api](https://github.com/songquanpeng/one-api): LLM API management and distribution system supporting mainstream models like OpenAI, Azure, and Anthropic. Features a unified API interface, suitable for key management and secondary distribution.
 
-- [ublacklist](https://github.com/iorate/ublacklist):Blocks specific sites from appearing in Google search results
+- [ublacklist](https://github.com/iorate/ublacklist): Blocks specific sites from appearing in Google search results
 
 # 🚀 Contributors
 

SECURITY.md

@@ -0,0 +1,64 @@
+# Security Policy
+
+## 📢 Reporting a Vulnerability
+
+At Cherry Studio, we take security seriously and appreciate your efforts to responsibly disclose vulnerabilities. If you discover a security issue, please report it as soon as possible.
+
+**Please do not create public issues for security-related reports.**
+
+- To report a security issue, please use the GitHub Security Advisories tab to "[Open a draft security advisory](https://github.com/CherryHQ/cherry-studio/security/advisories/new)".
+- Include a detailed description of the issue, steps to reproduce, potential impact, and any possible mitigations.
+- If applicable, please also attach proof-of-concept code or screenshots.
+
+We will acknowledge your report within **72 hours** and provide a status update as we investigate.
+
+---
+
+## 🔒 Supported Versions
+
+We aim to support the latest released version and one previous minor release.
+
+| Version         | Supported        |
+| --------------- | ---------------- |
+| Latest (`main`) | ✅ Supported     |
+| Previous minor  | ✅ Supported     |
+| Older versions  | ❌ Not supported |
+
+If you are using an unsupported version, we strongly recommend updating to the latest release to receive security fixes.
+
+---
+
+## 💡 Security Measures
+
+Cherry Studio integrates several security best practices, including:
+
+- Strict dependency updates and regular vulnerability scanning.
+- TypeScript strict mode and linting to reduce potential injection or runtime issues.
+- Enforced code formatting and pre-commit hooks.
+- Internal security reviews before releases.
+- Dedicated MCP (Model Context Protocol) safeguards for model interactions and data privacy.
+
+---
+
+## 🛡️ Disclosure Policy
+
+- We follow a **coordinated disclosure** approach.
+- We will not publicly disclose vulnerabilities until a fix has been developed and released.
+- Credit will be given to researchers who responsibly disclose vulnerabilities, if requested.
+
+---
+
+## 🤝 Acknowledgements
+
+We greatly appreciate contributions from the security community and strive to recognize all researchers who help keep Cherry Studio safe.
+
+---
+
+## 🌟 Questions?
+
+For any security-related questions not involving vulnerabilities, please reach out to:  
+**security@cherry-ai.com**
+
+---
+
+Thank you for helping keep Cherry Studio and its users secure!

build/nsis-installer.nsh

@@ -8,16 +8,93 @@
 ; https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist
 
 !include LogicLib.nsh
+!include x64.nsh
 
 ; https://github.com/electron-userland/electron-builder/issues/1122
 !ifndef BUILD_UNINSTALLER
   Function checkVCRedist
     ReadRegDWORD $0 HKLM "SOFTWARE\Microsoft\VisualStudio\14.0\VC\Runtimes\x64" "Installed"
   FunctionEnd
+
+  Function checkArchitectureCompatibility
+    ; Initialize variables
+    StrCpy $0 "0"  ; Default to incompatible
+    StrCpy $1 ""   ; System architecture
+    StrCpy $3 ""   ; App architecture
+
+    ; Check system architecture using built-in NSIS functions
+    ${If} ${RunningX64}
+      ; Check if it's ARM64 by looking at processor architecture
+      ReadEnvStr $2 "PROCESSOR_ARCHITECTURE"
+      ReadEnvStr $4 "PROCESSOR_ARCHITEW6432"
+
+      ${If} $2 == "ARM64"
+      ${OrIf} $4 == "ARM64"
+        StrCpy $1 "arm64"
+      ${Else}
+        StrCpy $1 "x64"
+      ${EndIf}
+    ${Else}
+      StrCpy $1 "x86"
+    ${EndIf}
+
+    ; Determine app architecture based on build variables
+    !ifdef APP_ARM64_NAME
+      !ifndef APP_64_NAME
+        StrCpy $3 "arm64"  ; App is ARM64 only
+      !endif
+    !endif
+    !ifdef APP_64_NAME
+      !ifndef APP_ARM64_NAME
+        StrCpy $3 "x64"    ; App is x64 only
+      !endif
+    !endif
+    !ifdef APP_64_NAME
+      !ifdef APP_ARM64_NAME
+        StrCpy $3 "universal"  ; Both architectures available
+      !endif
+    !endif
+
+    ; If no architecture variables are defined, assume x64
+    ${If} $3 == ""
+      StrCpy $3 "x64"
+    ${EndIf}
+
+    ; Compare system and app architectures
+    ${If} $3 == "universal"
+      ; Universal build, compatible with all architectures
+      StrCpy $0 "1"
+    ${ElseIf} $1 == $3
+      ; Architectures match
+      StrCpy $0 "1"
+    ${Else}
+      ; Architectures don't match
+      StrCpy $0 "0"
+    ${EndIf}
+  FunctionEnd
 !endif
 
 !macro customInit
   Push $0
+  Push $1
+  Push $2
+  Push $3
+  Push $4
+
+  ; Check architecture compatibility first
+  Call checkArchitectureCompatibility
+  ${If} $0 != "1"
+    MessageBox MB_ICONEXCLAMATION "\
+      Architecture Mismatch$\r$\n$\r$\n\
+      This installer is not compatible with your system architecture.$\r$\n\
+      Your system: $1$\r$\n\
+      App architecture: $3$\r$\n$\r$\n\
+      Please download the correct version from:$\r$\n\
+      https://www.cherry-ai.com/"
+    ExecShell "open" "https://www.cherry-ai.com/"
+    Abort
+  ${EndIf}
+
   Call checkVCRedist
   ${If} $0 != "1"
     MessageBox MB_YESNO "\
@@ -43,5 +120,9 @@
       Abort
   ${EndIf}
   ContinueInstall:
+    Pop $4
+    Pop $3
+    Pop $2
+    Pop $1
     Pop $0
-!macroend
+!macroend

docs/dev.md

@@ -31,6 +31,12 @@ corepack prepare yarn@4.6.0 --activate
 yarn install
 ```
 
+### ENV
+
+```bash
+copy .env.example .env
+```
+
 ### Start
 
 ```bash

docs/features/memory-guide-zh.md

@@ -0,0 +1,222 @@
+# Cherry Studio 记忆功能指南
+
+## 功能介绍
+
+Cherry Studio 的记忆功能是一个强大的工具，能够帮助 AI 助手记住对话中的重要信息、用户偏好和上下文。通过记忆功能，您的 AI 助手可以：
+
+- 📝 **记住重要信息**：自动从对话中提取并存储关键事实和信息
+- 🧠 **个性化响应**：基于存储的记忆提供更加个性化和相关的回答
+- 🔍 **智能检索**：在需要时自动搜索相关记忆，增强对话的连贯性
+- 👥 **多用户支持**：为不同用户维护独立的记忆上下文
+
+记忆功能特别适用于需要长期保持上下文的场景，例如个人助手、客户服务、教育辅导等。
+
+## 如何启用记忆功能
+
+### 1. 全局配置（首次设置）
+
+在使用记忆功能之前，您需要先进行全局配置：
+
+1. 点击侧边栏的 **记忆** 图标（记忆棒图标）进入记忆管理页面
+2. 点击右上角的 **更多** 按钮（三个点），选择 **设置**
+3. 在设置弹窗中配置以下必要项：
+   - **LLM 模型**：选择用于处理记忆的语言模型（推荐使用 GPT-4 或 Claude 等高级模型）
+   - **嵌入模型**：选择用于生成向量嵌入的模型（如 text-embedding-3-small）
+   - **嵌入维度**：输入嵌入模型的维度（通常为 1536）
+4. 点击 **确定** 保存配置
+
+> ⚠️ **注意**：嵌入模型和维度一旦设置后无法更改，请谨慎选择。
+
+### 2. 为助手启用记忆
+
+完成全局配置后，您可以为特定助手启用记忆功能：
+
+1. 进入 **助手** 页面
+2. 选择要启用记忆的助手，点击 **编辑**
+3. 在助手设置中找到 **记忆** 部分
+4. 打开记忆功能开关
+5. 保存助手设置
+
+启用后，该助手将在对话过程中自动提取和使用记忆。
+
+## 使用方法
+
+### 查看记忆
+
+1. 点击侧边栏的 **记忆** 图标进入记忆管理页面
+2. 您可以看到所有存储的记忆卡片，包括：
+   - 记忆内容
+   - 创建时间
+   - 所属用户
+
+### 添加记忆
+
+手动添加记忆有两种方式：
+
+**方式一：在记忆管理页面添加**
+
+1. 点击右上角的 **添加记忆** 按钮
+2. 在弹窗中输入记忆内容
+3. 点击 **添加** 保存
+
+**方式二：在对话中自动提取**
+
+- 当助手启用记忆功能后，系统会自动从对话中提取重要信息并存储为记忆
+
+### 编辑记忆
+
+1. 在记忆卡片上点击 **更多** 按钮（三个点）
+2. 选择 **编辑**
+3. 修改记忆内容
+4. 点击 **保存**
+
+### 删除记忆
+
+1. 在记忆卡片上点击 **更多** 按钮
+2. 选择 **删除**
+3. 确认删除操作
+
+## 记忆搜索
+
+记忆管理页面提供了强大的搜索功能：
+
+1. 在页面顶部的搜索框中输入关键词
+2. 系统会实时过滤显示匹配的记忆
+3. 搜索支持模糊匹配，可以搜索记忆内容的任何部分
+
+## 用户管理
+
+记忆功能支持多用户，您可以为不同的用户维护独立的记忆库：
+
+### 切换用户
+
+1. 在记忆管理页面，点击右上角的用户选择器
+2. 选择要切换到的用户
+3. 页面会自动加载该用户的记忆
+
+### 添加新用户
+
+1. 点击用户选择器
+2. 选择 **添加新用户**
+3. 输入用户 ID（支持字母、数字、下划线和连字符）
+4. 点击 **添加**
+
+### 删除用户
+
+1. 切换到要删除的用户
+2. 点击右上角的 **更多** 按钮
+3. 选择 **删除用户**
+4. 确认删除（注意：这将删除该用户的所有记忆）
+
+> 💡 **提示**：默认用户（default-user）无法删除。
+
+## 设置说明
+
+### LLM 模型
+
+- 用于处理记忆提取和更新的语言模型
+- 建议选择能力较强的模型以获得更好的记忆提取效果
+- 可随时更改
+
+### 嵌入模型
+
+- 用于将文本转换为向量，支持语义搜索
+- 一旦设置后无法更改（为了保证现有记忆的兼容性）
+- 推荐使用 OpenAI 的 text-embedding 系列模型
+
+### 嵌入维度
+
+- 嵌入向量的维度，需要与选择的嵌入模型匹配
+- 常见维度：
+  - text-embedding-3-small: 1536
+  - text-embedding-3-large: 3072
+  - text-embedding-ada-002: 1536
+
+### 自定义提示词（可选）
+
+- **事实提取提示词**：自定义如何从对话中提取信息
+- **记忆更新提示词**：自定义如何更新现有记忆
+
+## 最佳实践
+
+### 1. 合理组织记忆
+
+- 保持记忆简洁明了，每条记忆专注于一个具体信息
+- 使用清晰的语言描述事实，避免模糊表达
+- 定期审查和清理过时或不准确的记忆
+
+### 2. 多用户场景
+
+- 为不同的使用场景创建独立用户（如工作、个人、学习等）
+- 使用有意义的用户 ID，便于识别和管理
+- 定期备份重要用户的记忆数据
+
+### 3. 模型选择建议
+
+- **LLM 模型**：GPT-4、Claude 3 等高级模型能更准确地提取和理解信息
+- **嵌入模型**：选择与您的主要使用语言匹配的模型
+
+### 4. 性能优化
+
+- 避免存储过多冗余记忆，这可能影响搜索性能
+- 定期整理和合并相似的记忆
+- 对于大量记忆的场景，考虑按主题或时间进行分类管理
+
+## 常见问题
+
+### Q: 为什么我无法启用记忆功能？
+
+A: 请确保您已经完成全局配置，包括选择 LLM 模型和嵌入模型。
+
+### Q: 记忆会自动同步到所有助手吗？
+
+A: 不会。每个助手的记忆功能需要单独启用，且记忆是按用户隔离的。
+
+### Q: 如何导出我的记忆数据？
+
+A: 目前系统暂不支持直接导出功能，但所有记忆都存储在本地数据库中。
+
+### Q: 删除的记忆可以恢复吗？
+
+A: 删除操作是永久的，无法恢复。建议在删除前仔细确认。
+
+### Q: 记忆功能会影响对话速度吗？
+
+A: 记忆功能在后台异步处理，不会明显影响对话响应速度。但过多的记忆可能会略微增加搜索时间。
+
+### Q: 如何清空所有记忆？
+
+A: 您可以删除当前用户并重新创建，或者手动删除所有记忆条目。
+
+## 注意事项
+
+### 隐私保护
+
+- 所有记忆数据都存储在您的本地设备上，不会上传到云端
+- 请勿在记忆中存储敏感信息（如密码、私钥等）
+- 定期审查记忆内容，确保没有意外存储的隐私信息
+
+### 数据安全
+
+- 记忆数据存储在本地数据库中
+- 建议定期备份重要数据
+- 更换设备时请注意迁移记忆数据
+
+### 使用限制
+
+- 单条记忆的长度建议不超过 500 字
+- 每个用户的记忆数量建议控制在 1000 条以内
+- 过多的记忆可能影响系统性能
+
+## 技术细节
+
+记忆功能使用了先进的 RAG（检索增强生成）技术：
+
+1. **信息提取**：使用 LLM 从对话中智能提取关键信息
+2. **向量化存储**：通过嵌入模型将文本转换为向量，支持语义搜索
+3. **智能检索**：在对话时自动搜索相关记忆，提供给 AI 作为上下文
+4. **持续学习**：随着对话进行，不断更新和完善记忆库
+
+---
+
+💡 **提示**：记忆功能是 Cherry Studio 的高级特性，合理使用可以大大提升 AI 助手的智能程度和用户体验。如有更多问题，欢迎查阅文档或联系支持团队。

docs/technical/code-execution.md

@@ -0,0 +1,127 @@
+# 代码执行功能
+
+本文档说明了代码块的 Python 代码执行功能。该实现利用 [Pyodide][pyodide-link] 在浏览器环境中直接运行 Python 代码，并将其置于 Web Worker 中，以避免阻塞主 UI 线程。
+
+整个实现分为三个主要部分：UI 层、服务层和 Worker 层。
+
+## 执行流程图
+
+```mermaid
+sequenceDiagram
+    participant 用户
+    participant CodeBlockView (UI)
+    participant PyodideService (服务)
+    participant PyodideWorker (Worker)
+
+    用户->>CodeBlockView (UI): 点击“运行”按钮
+    CodeBlockView (UI)->>PyodideService (服务): 调用 runScript(code)
+    PyodideService (服务)->>PyodideWorker (Worker): 发送 postMessage({ id, python: code })
+    PyodideWorker (Worker)->>PyodideWorker (Worker): 加载 Pyodide 和相关包
+    PyodideWorker (Worker)->>PyodideWorker (Worker): (按需)注入垫片并合并代码
+    PyodideWorker (Worker)->>PyodideWorker (Worker): 执行合并后的 Python 代码
+    PyodideWorker (Worker)-->>PyodideService (服务): 返回 postMessage({ id, output })
+    PyodideService (服务)-->>CodeBlockView (UI): 返回 { text, image } 对象
+    CodeBlockView (UI)->>用户: 在状态栏中显示文本和/或图像输出
+```
+
+## 1. UI 层
+
+面向用户的代码执行组件是 [CodeBlockView][codeblock-view-link]。
+
+### 关键机制：
+
+- **运行按钮**：当代码块语言为 `python` 且 `codeExecution.enabled` 设置为 true 时，`CodeToolbar` 中会条件性地渲染一个“运行”按钮。
+- **事件处理**：运行按钮的 `onClick` 事件会触发 `handleRunScript` 函数。
+- **服务调用**：`handleRunScript` 调用 `pyodideService.runScript(code)`，将代码块中的 Python 代码传递给服务。
+- **状态管理与输出显示**：使用 `executionResult` 来管理所有执行输出，只要有任何结果（文本或图像），[StatusBar][statusbar-link] 组件就会被渲染以统一显示。
+
+```typescript
+// src/renderer/src/components/CodeBlockView/view.tsx
+const [executionResult, setExecutionResult] = useState<{ text: string; image?: string } | null>(null)
+
+const handleRunScript = useCallback(() => {
+  setIsRunning(true)
+  setExecutionResult(null)
+
+  pyodideService
+    .runScript(children, {}, codeExecution.timeoutMinutes * 60000)
+    .then((result) => {
+      setExecutionResult(result)
+    })
+    .catch((error) => {
+      console.error('Unexpected error:', error)
+      setExecutionResult({
+        text: `Unexpected error: ${error.message || 'Unknown error'}`
+      })
+    })
+    .finally(() => {
+      setIsRunning(false)
+    })
+}, [children, codeExecution.timeoutMinutes]);
+
+// ... 在 JSX 中
+{isExecutable && executionResult && (
+  <StatusBar>
+    {executionResult.text}
+    {executionResult.image && (
+      <ImageOutput>
+        <img src={executionResult.image} alt="Matplotlib plot" />
+      </ImageOutput>
+    )}
+  </StatusBar>
+)}
+```
+
+## 2. 服务层
+
+服务层充当 UI 组件和运行 Pyodide 的 Web Worker 之间的桥梁。其逻辑封装在位于单例类 [PyodideService][pyodide-service-link]。
+
+### 主要职责：
+
+- **Worker 管理**：初始化、管理并与 Pyodide Web Worker 通信。
+- **请求处理**：使用 `resolvers` Map 管理并发请求，通过唯一 ID 匹配请求和响应。
+- **为 UI 提供 API**：向 UI 提供 `runScript(script, context, timeout)` 方法。此方法的返回值已修改为 `Promise<{ text: string; image?: string }>`，以支持包括图像在内的多种输出类型。
+- **输出处理**：从 Worker 接收包含文本、错误和可选图像数据的 `output` 对象。它将文本和错误格式化为对用户友好的单个字符串，然后连同图像数据一起包装成对象返回给 UI 层。
+- **IPC 端点**：该服务还提供了一个 `python-execution-request` IPC 端点，允许主进程请求执行 Python 代码，展示了其灵活的架构。
+
+## 3. Worker 层
+
+核心的 Python 执行发生在 [pyodide.worker.ts][pyodide-worker-link] 中定义的 Web Worker 内部。这确保了计算密集的 Python 代码不会冻结用户界面。
+
+### Worker 逻辑：
+
+- **Pyodide 加载**：Worker 从 CDN 加载 Pyodide 引擎，并设置处理器以捕获 Python 的 `stdout` 和 `stderr`。
+- **动态包安装**：使用 `pyodide.loadPackagesFromImports()` 自动分析并安装代码中导入的依赖包。
+- **按需执行垫片代码**：Worker 会检查传入的代码中是否包含 "matplotlib" 字符串。如果是，它会先执行一段 Python“垫片”代码确保图像输出到全局命名空间。
+- **结果序列化**：执行结果通过 `.toJs()` 等方法被递归转换为可序列化的标准 JavaScript 对象。
+- **返回结构化输出**：执行后，Worker 将一个包含 `id` 和 `output` 对象的-消息发回服务层。`output` 对象是一个结构化对象，包含 `result`、`text`、`error` 以及一个可选的 `image` 字段（用于 Base64 图像数据）。
+
+### 数据流
+
+最终的数据流如下：
+
+1.  **UI 层 ([CodeBlockView][codeblock-view-link])**: 用户点击“运行”按钮。
+2.  **服务层 ([PyodideService][pyodide-service-link])**:
+    - 接收到代码执行请求。
+    - 调用 Web Worker ([pyodide.worker.ts][pyodide-worker-link])，传递用户代码。
+3.  **Worker 层 ([pyodide.worker.ts][pyodide-worker-link])**:
+    - 加载 Pyodide 运行时。
+    - 动态安装代码中 `import` 语句声明的依赖包。
+    - **注入 Matplotlib 垫片**: 如果代码中包含 `matplotlib`，则在用户代码前拼接垫片代码，强制使用 `AGG` 后端。
+    - **执行代码并捕获输出**: 在代码执行后，检查 `matplotlib.pyplot` 的所有 figure，如果存在图像，则将其保存到内存中的 `BytesIO` 对象，并编码为 Base64 字符串。
+    - **结构化返回**: 将捕获的文本输出和 Base64 图像数据封装在一个 JSON 对象中 (`{ "text": "...", "image": "data:image/png;base64,..." }`) 返回给主线程。
+4.  **服务层 ([PyodideService][pyodide-service-link])**:
+    - 接收来自 Worker 的结构化数据。
+    - 将数据原样传递给 UI 层。
+5.  **UI 层 ([CodeBlockView][codeblock-view-link])**:
+    - 接收包含文本和图像数据的对象。
+    - 使用一个 `useState` 来管理执行结果 (`executionResult`)。
+    - 在界面上分别渲染文本输出和图像（如果存在）。
+
+<!-- Link Definitions -->
+
+[pyodide-link]: https://pyodide.org/
+[codeblock-view-link]: /src/renderer/src/components/CodeBlockView/view.tsx
+[pyodide-service-link]: /src/renderer/src/services/PyodideService.ts
+[pyodide-worker-link]: /src/renderer/src/workers/pyodide.worker.ts
+[statusbar-link]: /src/renderer/src/components/CodeBlockView/StatusBar.tsx

docs/technical/db.settings.md

@@ -0,0 +1,11 @@
+# 数据库设置字段
+
+此文档包含部分字段的数据类型说明。
+
+## 字段
+
+| 字段名                         | 类型                           | 说明         |
+| ------------------------------ | ------------------------------ | ------------ |
+| `translate:target:language`    | `LanguageCode`                 | 翻译目标语言 |
+| `translate:source:language`    | `LanguageCode`                 | 翻译源语言   |
+| `translate:bidirectional:pair` | `[LanguageCode, LanguageCode]` | 双向翻译对   |

docs/technical/how-to-i18n-en.md

@@ -0,0 +1,177 @@
+# How to Do i18n Gracefully
+
+> [!WARNING]
+> This document is machine translated from Chinese. While we strive for accuracy, there may be some imperfections in the translation.
+
+## Enhance Development Experience with the i18n Ally Plugin
+
+i18n Ally is a powerful VSCode extension that provides real-time feedback during development, helping developers detect missing or incorrect translations earlier.
+
+The plugin has already been configured in the project — simply install it to get started.
+
+### Advantages During Development
+
+- **Real-time Preview**: Translated texts are displayed directly in the editor.
+- **Error Detection**: Automatically tracks and highlights missing translations or unused keys.
+- **Quick Navigation**: Jump to key definitions with Ctrl/Cmd + click.
+- **Auto-completion**: Provides suggestions when typing i18n keys.
+
+### Demo
+
+![demo-1](./.assets.how-to-i18n/demo-1.png)
+
+![demo-2](./.assets.how-to-i18n/demo-2.png)
+
+![demo-3](./.assets.how-to-i18n/demo-3.png)
+
+## i18n Conventions
+
+### **Avoid Flat Structure at All Costs**
+
+Never use flat structures like `"add.button.tip": "Add"`. Instead, adopt a clear nested structure:
+
+```json
+// Wrong - Flat structure
+{
+  "add.button.tip": "Add",
+  "delete.button.tip": "Delete"
+}
+
+// Correct - Nested structure
+{
+  "add": {
+    "button": {
+      "tip": "Add"
+    }
+  },
+  "delete": {
+    "button": {
+      "tip": "Delete"
+    }
+  }
+}
+```
+
+#### Why Use Nested Structure?
+
+1. **Natural Grouping**: Related texts are logically grouped by their context through object nesting.
+2. **Plugin Requirement**: Tools like i18n Ally require either flat or nested format to properly analyze translation files.
+
+### **Avoid Template Strings in `t()`**
+
+**We strongly advise against using template strings for dynamic interpolation.** While convenient in general JavaScript development, they cause several issues in i18n scenarios.
+
+#### 1. **Plugin Cannot Track Dynamic Keys**
+
+Tools like i18n Ally cannot parse dynamic content within template strings, resulting in:
+
+- No real-time preview
+- No detection of missing translations
+- No navigation to key definitions
+
+```javascript
+// Not recommended - Plugin cannot resolve
+const message = t(`fruits.${fruit}`)
+```
+
+#### 2. **No Real-time Rendering in Editor**
+
+Template strings appear as raw code instead of the final translated text in IDEs, degrading the development experience.
+
+#### 3. **Harder to Maintain**
+
+Since the plugin cannot track such usages, developers must manually verify the existence of corresponding keys in language files.
+
+### Recommended Approach
+
+To avoid missing keys, all dynamically translated texts should first maintain a `FooKeyMap`, then retrieve the translation text through a function.
+
+For example:
+
+```ts
+// src/renderer/src/i18n/label.ts
+const themeModeKeyMap = {
+  dark: 'settings.theme.dark',
+  light: 'settings.theme.light',
+  system: 'settings.theme.system'
+} as const
+
+export const getThemeModeLabel = (key: string): string => {
+  return themeModeKeyMap[key] ? t(themeModeKeyMap[key]) : key
+}
+```
+
+By avoiding template strings, you gain better developer experience, more reliable translation checks, and a more maintainable codebase.
+
+## Automation Scripts
+
+The project includes several scripts to automate i18n-related tasks:
+
+### `check:i18n` - Validate i18n Structure
+
+This script checks:
+
+- Whether all language files use nested structure
+- For missing or unused keys
+- Whether keys are properly sorted
+
+```bash
+yarn check:i18n
+```
+
+### `sync:i18n` - Synchronize JSON Structure and Sort Order
+
+This script uses `zh-cn.json` as the source of truth to sync structure across all language files, including:
+
+1. Adding missing keys, with placeholder `[to be translated]`
+2. Removing obsolete keys
+3. Sorting keys automatically
+
+```bash
+yarn sync:i18n
+```
+
+### `auto:i18n` - Automatically Translate Pending Texts
+
+This script fills in texts marked as `[to be translated]` using machine translation.
+
+Typically, after adding new texts in `zh-cn.json`, run `sync:i18n`, then `auto:i18n` to complete translations.
+
+Before using this script, set the required environment variables:
+
+```bash
+API_KEY="sk-xxx"
+BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1/"
+MODEL="qwen-plus-latest"
+```
+
+Alternatively, add these variables directly to your `.env` file.
+
+```bash
+yarn auto:i18n
+```
+
+### `update:i18n` - Object-level Translation Update
+
+Updates translations in language files under `src/renderer/src/i18n/translate` at the object level, preserving existing translations and only updating new content.
+
+**Not recommended** — prefer `auto:i18n` for translation tasks.
+
+```bash
+yarn update:i18n
+```
+
+### Workflow
+
+1. During development, first add the required text in `zh-cn.json`
+2. Confirm it displays correctly in the Chinese environment
+3. Run `yarn sync:i18n` to propagate the keys to other language files
+4. Run `yarn auto:i18n` to perform machine translation
+5. Grab a coffee and let the magic happen!
+
+## Best Practices
+
+1. **Use Chinese as Source Language**: All development starts in Chinese, then translates to other languages.
+2. **Run Check Script Before Commit**: Use `yarn check:i18n` to catch i18n issues early.
+3. **Translate in Small Increments**: Avoid accumulating a large backlog of untranslated content.
+4. **Keep Keys Semantically Clear**: Keys should clearly express their purpose, e.g., `user.profile.avatar.upload.error`

docs/technical/how-to-i18n-zh.md

@@ -0,0 +1,171 @@
+# 如何优雅地做好 i18n
+
+## 使用i18n ally插件提升开发体验
+
+i18n ally是一个强大的VSCode插件，它能在开发阶段提供实时反馈，帮助开发者更早发现文案缺失和错译问题。
+
+项目中已经配置好了插件设置，直接安装即可。
+
+### 开发时优势
+
+- **实时预览**：翻译文案会直接显示在编辑器中
+- **错误检测**：自动追踪标记出缺失的翻译或未使用的key
+- **快速跳转**：可通过key直接跳转到定义处（Ctrl/Cmd + click)
+- **自动补全**：输入i18n key时提供自动补全建议
+
+### 效果展示
+
+![demo-1](./.assets.how-to-i18n/demo-1.png)
+
+![demo-2](./.assets.how-to-i18n/demo-2.png)
+
+![demo-3](./.assets.how-to-i18n/demo-3.png)
+
+## i18n 约定
+
+### **绝对避免使用flat格式**
+
+绝对避免使用flat格式，如`"add.button.tip": "添加"`。应采用清晰的嵌套结构：
+
+```json
+// 错误示例 - flat结构
+{
+  "add.button.tip": "添加",
+  "delete.button.tip": "删除"
+}
+
+// 正确示例 - 嵌套结构
+{
+  "add": {
+    "button": {
+      "tip": "添加"
+    }
+  },
+  "delete": {
+    "button": {
+      "tip": "删除"
+    }
+  }
+}
+```
+
+#### 为什么要使用嵌套结构
+
+1. **自然分组**：通过对象结构天然能将相关上下文的文案分到一个组别中
+2. **插件要求**：i18n ally 插件需要嵌套或flat格式其一的文件才能正常分析
+
+### **避免在`t()`中使用模板字符串**
+
+**强烈建议避免使用模板字符串**进行动态插值。虽然模板字符串在JavaScript开发中非常方便，但在国际化场景下会带来一系列问题。
+
+1. **插件无法跟踪**
+   i18n ally等工具无法解析模板字符串中的动态内容，导致：
+
+   - 无法正确显示实时预览
+   - 无法检测翻译缺失
+   - 无法提供跳转到定义的功能
+
+   ```javascript
+   // 不推荐 - 插件无法解析
+   const message = t(`fruits.${fruit}`)
+   ```
+
+2. **编辑器无法实时渲染**
+   在IDE中，模板字符串会显示为原始代码而非最终翻译结果，降低了开发体验。
+
+3. **更难以维护**
+   由于插件无法跟踪这样的文案，编辑器中也无法渲染，开发者必须人工确认语言文件中是否存在相应的文案。
+
+### 推荐做法
+
+为了避免键的缺失，所有需要动态翻译的文本都应当先维护一个`FooKeyMap`，再通过函数获取翻译文本。
+
+例如：
+
+```ts
+// src/renderer/src/i18n/label.ts
+const themeModeKeyMap = {
+  dark: 'settings.theme.dark',
+  light: 'settings.theme.light',
+  system: 'settings.theme.system'
+} as const
+
+export const getThemeModeLabel = (key: string): string => {
+  return themeModeKeyMap[key] ? t(themeModeKeyMap[key]) : key
+}
+```
+
+通过避免模板字符串，可以获得更好的开发体验、更可靠的翻译检查以及更易维护的代码库。
+
+## 自动化脚本
+
+项目中有一系列脚本来自动化i18n相关任务：
+
+### `check:i18n` - 检查i18n结构
+
+此脚本会检查：
+
+- 所有语言文件是否为嵌套结构
+- 是否存在缺失的key
+- 是否存在多余的key
+- 是否已经有序
+
+```bash
+yarn check:i18n
+```
+
+### `sync:i18n` - 同步json结构与排序
+
+此脚本以`zh-cn.json`文件为基准，将结构同步到其他语言文件，包括：
+
+1. 添加缺失的键。缺少的翻译内容会以`[to be translated]`标记
+2. 删除多余的键
+3. 自动排序
+
+```bash
+yarn sync:i18n
+```
+
+### `auto:i18n` - 自动翻译待翻译文本
+
+次脚本自动将标记为待翻译的文本通过机器翻译填充。
+
+通常，在`zh-cn.json`中添加所需文案后，执行`sync:i18n`即可自动完成翻译。
+
+使用该脚本前，需要配置环境变量，例如：
+
+```bash
+API_KEY="sk-xxx"
+BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1/"
+MODEL="qwen-plus-latest"
+```
+
+你也可以通过直接编辑`.env`文件来添加环境变量。
+
+```bash
+yarn auto:i18n
+```
+
+### `update:i18n` - 对象级别翻译更新
+
+对`src/renderer/src/i18n/translate`中的语言文件进行对象级别的翻译更新，保留已有翻译，只更新新增内容。
+
+**不建议**使用该脚本，更推荐使用`auto:i18n`进行翻译。
+
+```bash
+yarn update:i18n
+```
+
+### 工作流
+
+1. 开发阶段，先在`zh-cn.json`中添加所需文案
+2. 确认在中文环境下显示无误后，使用`yarn sync:i18n`将文案同步到其他语言文件
+3. 使用`yarn auto:i18n`进行自动翻译
+4. 喝杯咖啡，等翻译完成吧！
+
+## 最佳实践
+
+1. **以中文为源语言**：所有开发首先使用中文，再翻译为其他语言
+2. **提交前运行检查脚本**：使用`yarn check:i18n`检查i18n是否有问题
+3. **小步提交翻译**：避免积累大量未翻译文本
+4. **保持key语义明确**：key应能清晰表达其用途，如`user.profile.avatar.upload.error`

docs/technical/how-to-use-logger-en.md

@@ -0,0 +1,191 @@
+# How to use the LoggerService
+
+This is a developer document on how to use the logger.
+
+CherryStudio uses a unified logging service to print and record logs. **Unless there is a special reason, do not use `console.xxx` to print logs**.
+
+The following are detailed instructions.
+
+## Usage in the `main` process
+
+### Importing
+
+```typescript
+import { loggerService } from '@logger'
+```
+
+### Setting module information (Required by convention)
+
+After the import statements, set it up as follows:
+
+```typescript
+const logger = loggerService.withContext('moduleName')
+```
+
+- `moduleName` is the name of the current file's module. It can be named after the filename, main class name, main function name, etc. The principle is to be clear and understandable.
+- `moduleName` will be printed in the terminal and will also be present in the file log, making it easier to filter.
+
+### Setting `CONTEXT` information (Optional)
+
+In `withContext`, you can also set other `CONTEXT` information:
+
+```typescript
+const logger = loggerService.withContext('moduleName', CONTEXT)
+```
+
+- `CONTEXT` is an object of the form `{ key: value, ... }`.
+- `CONTEXT` information will not be printed in the terminal, but it will be recorded in the file log, making it easier to filter.
+
+### Logging
+
+In your code, you can call `logger` at any time to record logs. The supported levels are: `error`, `warn`, `info`, `verbose`, `debug`, and `silly`.
+For the meaning of each level, please refer to the subsequent sections.
+
+The following are the supported parameters for logging (using `logger.LEVEL` as an example, where `LEVEL` represents one of the levels mentioned above):
+
+```typescript
+logger.LEVEL(message)
+logger.LEVEL(message, CONTEXT)
+logger.LEVEL(message, error)
+logger.LEVEL(message, error, CONTEXT)
+```
+
+**Only the four calling methods above are supported**.
+
+| Parameter | Type     | Description                                                                                                                                                                                                                                                                                                                   |
+| --------- | -------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `message` | `string` | Required. This is the core field of the log, containing the main content to be recorded.                                                                                                                                                                                                                                      |
+| `CONTEXT` | `object` | Optional. Additional information to be recorded in the log file. It is recommended to use the `{ key: value, ...}` format.                                                                                                                                                                                                    |
+| `error`   | `Error`  | Optional. The error stack trace will also be printed.<br />Note that the `error` caught by `catch(error)` is of the `unknown` type. According to TypeScript best practices, you should first use `instanceof` for type checking. If you are certain it is an `Error` type, you can also use a type assertion like `as Error`. |
+
+#### Recording non-`object` type context information
+
+```typescript
+const foo = getFoo()
+logger.debug(`foo ${foo}`)
+```
+
+### Log Levels
+
+- In the development environment, all log levels are printed to the terminal and recorded in the file log.
+- In the production environment, the default log level is `info`. Logs are only recorded to the file and are not printed to the terminal.
+
+Changing the log level:
+
+- You can change the log level with `logger.setLevel('newLevel')`.
+- `logger.resetLevel()` resets it to the default level.
+- `logger.getLevel()` gets the current log level.
+
+**Note:** Changing the log level has a global effect. Please do not change it arbitrarily in your code unless you are very clear about what you are doing.
+
+## Usage in the `renderer` process
+
+Usage in the `renderer` process for _importing_, _setting module information_, and _setting context information_ is **exactly the same** as in the `main` process.
+The following section focuses on the differences.
+
+### `initWindowSource`
+
+In the `renderer` process, there are different `window`s. Before starting to use the `logger`, we must set the `window` information:
+
+```typescript
+loggerService.initWindowSource('windowName')
+```
+
+As a rule, we will set this in the `window`'s `entryPoint.tsx`. This ensures that `windowName` is set before it's used.
+
+- An error will be thrown if `windowName` is not set, and the `logger` will not work.
+- `windowName` can only be set once; subsequent attempts to set it will have no effect.
+- `windowName` will not be printed in the `devTool`'s `console`, but it will be recorded in the `main` process terminal and the file log.
+- `initWindowSource` returns the LoggerService instance, allowing for method chaining.
+
+### Log Levels
+
+- In the development environment, all log levels are printed to the `devTool`'s `console` by default.
+- In the production environment, the default log level is `info`, and logs are printed to the `devTool`'s `console`.
+- In both development and production environments, `warn` and `error` level logs are, by default, transmitted to the `main` process and recorded in the file log.
+  - In the development environment, the `main` process terminal will also print the logs transmitted from the renderer.
+
+#### Changing the Log Level
+
+Same as in the `main` process, you can manage the log level using `setLevel('level')`, `resetLevel()`, and `getLevel()`.
+Similarly, changing the log level is a global adjustment.
+
+#### Changing the Level Transmitted to `main`
+
+Logs from the `renderer` are sent to `main` to be managed and recorded to a file centrally (according to `main`'s file logging level). By default, only `warn` and `error` level logs are transmitted to `main`.
+
+There are two ways to change the log level for transmission to `main`:
+
+##### Global Change
+
+The following methods can be used to set, reset, and get the log level for transmission to `main`, respectively.
+
+```typescript
+logger.setLogToMainLevel('newLevel')
+logger.resetLogToMainLevel()
+logger.getLogToMainLevel()
+```
+
+**Note:** This method has a global effect. Please do not change it arbitrarily in your code unless you are very clear about what you are doing.
+
+##### Per-log Change
+
+By adding `{ logToMain: true }` at the end of the log call, you can force a single log entry to be transmitted to `main` (bypassing the global log level restriction), for example:
+
+```typescript
+logger.info('message', { logToMain: true })
+```
+
+## About `worker` Threads
+
+- Currently, logging is not supported for workers in the `main` process.
+- Logging is supported for workers started in the `renderer` process, but currently these logs are not sent to `main` for recording.
+
+### How to Use Logging in `renderer` Workers
+
+Since worker threads are independent, using LoggerService in them is equivalent to using it in a new `renderer` window. Therefore, you must first call `initWindowSource`.
+
+If the worker is relatively simple (just one file), you can also use method chaining directly:
+
+```typescript
+const logger = loggerService.initWindowSource('Worker').withContext('LetsWork')
+```
+
+## Filtering Logs with Environment Variables
+
+In a development environment, you can define environment variables to filter displayed logs by level and module. This helps developers focus on their specific logs and improves development efficiency.
+
+Environment variables can be set in the terminal or defined in the `.env` file in the project's root directory. The available variables are as follows:
+
+| Variable Name                    | Description                                                                                                                                                                 |
+| -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `CSLOGGER_MAIN_LEVEL`            | Log level for the `main` process. Logs below this level will not be displayed.                                                                                              |
+| `CSLOGGER_MAIN_SHOW_MODULES`     | Filters log modules for the `main` process. Use a comma (`,`) to separate modules. The filter is case-sensitive. Only logs from modules in this list will be displayed.     |
+| `CSLOGGER_RENDERER_LEVEL`        | Log level for the `renderer` process. Logs below this level will not be displayed.                                                                                          |
+| `CSLOGGER_RENDERER_SHOW_MODULES` | Filters log modules for the `renderer` process. Use a comma (`,`) to separate modules. The filter is case-sensitive. Only logs from modules in this list will be displayed. |
+
+Example:
+
+```bash
+CSLOGGER_MAIN_LEVEL=verbose
+CSLOGGER_MAIN_SHOW_MODULES=MCPService,SelectionService
+```
+
+Note:
+
+- Environment variables are only effective in the development environment.
+- These variables only affect the logs displayed in the terminal or DevTools. They do not affect file logging or the `logToMain` recording logic.
+
+## Log Level Usage Guidelines
+
+There are many log levels. The following are the guidelines that should be followed in CherryStudio for when to use each level:
+(Arranged from highest to lowest log level)
+
+| Log Level     | Core Definition & Use case                                                                                                                                                                          | Example                                                                                                                                                                                                            |
+| :------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **`error`**   | **Critical error causing the program to crash or core functionality to become unusable.** <br> This is the highest-priority log, usually requiring immediate reporting or user notification.        | - Main or renderer process crash. <br> - Failure to read/write critical user data files (e.g., database, configuration files), preventing the application from running. <br> - All unhandled exceptions.           |
+| **`warn`**    | **Potential issue or unexpected situation that does not affect the program's core functionality.** <br> The program can recover or use a fallback.                                                  | - Configuration file `settings.json` is missing; started with default settings. <br> - Auto-update check failed, but does not affect the use of the current version. <br> - A non-essential plugin failed to load. |
+| **`info`**    | **Records application lifecycle events and key user actions.** <br> This is the default level that should be recorded in a production release to trace the user's main operational path.            | - Application start, exit. <br> - User successfully opens/saves a file. <br> - Main window created/closed. <br> - Starting an important task (e.g., "Start video export").                                         |
+| **`verbose`** | **More detailed flow information than `info`, used for tracing specific features.** <br> Enabled when diagnosing issues with a specific feature to help understand the internal execution flow.     | - Loading `Toolbar` module. <br> - IPC message `open-file-dialog` sent from the renderer process. <br> - Applying filter 'Sepia' to the image.                                                                     |
+| **`debug`**   | **Detailed diagnostic information used during development and debugging.** <br> **Must not be enabled by default in production releases**, as it may contain sensitive data and impact performance. | - Parameters for function `renderImage`: `{ width: 800, ... }`. <br> - Specific data content received by IPC message `save-file`. <br> - Details of Redux/Vuex state changes in the renderer process.              |
+| **`silly`**   | **The most detailed, low-level information, used only for extreme debugging.** <br> Rarely used in regular development; only for solving very difficult problems.                                   | - Real-time mouse coordinates `(x: 150, y: 320)`. <br> - Size of each data chunk when reading a file. <br> - Time taken for each rendered frame.                                                                   |

docs/technical/how-to-use-logger-zh.md

@@ -0,0 +1,194 @@
+# 如何使用日志 LoggerService
+
+这是关于如何使用日志的开发者文档。
+
+CherryStudio使用统一的日志服务来打印和记录日志，**若无特殊原因，请勿使用`console.xxx`来打印日志**。
+
+以下是详细说明。
+
+## 在`main`进程中使用
+
+### 引入
+
+```typescript
+import { loggerService } from '@logger'
+```
+
+### 设置module信息（规范要求）
+
+在import头之后，设置：
+
+```typescript
+const logger = loggerService.withContext('moduleName')
+```
+
+- `moduleName`是当前文件模块的名称，命名可以以文件名、主类名、主函数名等，原则是清晰明了
+- `moduleName`会在终端中打印出来，也会在文件日志中体现，方便筛选
+
+### 设置`CONTEXT`信息（可选）
+
+在`withContext`中，也可以设置其他`CONTEXT`信息：
+
+```typescript
+const logger = loggerService.withContext('moduleName', CONTEXT)
+```
+
+- `CONTEXT`为`{ key: value, ... }`
+- `CONTEXT`信息不会在终端中打印出来，但是会在文件日志中记录，方便筛选
+
+### 记录日志
+
+在代码中，可以随时调用 `logger` 来记录日志，支持的级别有：`error`, `warn`, `info`, `verbose`, `debug`, `silly`。
+
+各级别的含义，请参考后面的章节。
+
+以下支持的记录日志的参数（以 `logger.LEVEL` 举例如何使用，`LEVEL`指代为上述级别）：
+
+```typescript
+logger.LEVEL(message)
+logger.LEVEL(message, CONTEXT)
+logger.LEVEL(message, error)
+logger.LEVEL(message, error, CONTEXT)
+```
+
+**只支持上述四种调用方式**。
+
+| 参数      | 类型     | 说明                                                                                                                                                                                              |
+| --------- | -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `message` | `string` | 必填项。这是日志的核心字段，记录的重点内容                                                                                                                                                        |
+| `CONTEXT` | `object` | 可选。其他需要再日志文件中记录的信息，建议为`{ key: value, ...}`格式                                                                                                                              |
+| `error`   | `Error`  | 可选。同时会打印错误堆栈信息。<br />注意`catch(error)`所捕获的`error`是`unknown`类型，按照`Typescript`最佳实践，请先用`instanceof`进行类型判断，如果确信一定是`Error`类型，也可用断言`as Error`。 |
+
+#### 记录非`object`类型的上下文信息
+
+```typescript
+const foo = getFoo()
+logger.debug(`foo ${foo}`)
+```
+
+### 记录级别
+
+- 开发环境下，所有级别的日志都会打印到终端，并且记录到文件日志中
+- 生产环境下，默认记录级别为`info`，日志只会记录到文件，不会打印到终端
+
+更改日志记录级别：
+
+- 可以通过 `logger.setLevel('newLevel')` 来更改日志记录级别
+- `logger.resetLevel()` 可以重置为默认级别
+- `logger.getLevel()` 可以获取当前记录记录级别
+
+**注意** 更改日志记录级别是全局生效的，请不要在代码中随意更改，除非你非常清楚自己在做什么
+
+## 在`renderer`进程中使用
+
+在`renderer`进程中使用，_引入方法_、_设置`module`信息_、*设置`context`信息的方法*和`main`进程中是**完全一样**的。
+
+下面着重讲一下不同之处。
+
+### `initWindowSource`
+
+`renderer`进程中，有不同的`window`，在开始使用`logger`之前，我们必须设置`window`信息：
+
+```typescript
+loggerService.initWindowSource('windowName')
+```
+
+原则上，我们将在`window`的`entryPoint.tsx`中进行设置，这可以保证`windowName`在开始使用前已经设置好了。
+
+- 未设置`windowName`会报错，`logger`将不起作用
+- `windowName`只能设置一次，重复设置将不生效
+- `windowName`不会在`devTool`的`console`中打印出来，但是会在`main`进程的终端和文件日志中记录
+- `initWindowSource`返回的是LoggerService的实例，因此可以做链式调用
+
+### 记录级别
+
+- 开发环境下，默认所有级别的日志都会打印到`devTool`的`console`
+- 生产环境下，默认记录级别为`info`，日志会打印到`devTool`的`console`
+- 在开发和生产环境下，默认`warn`和`error`级别的日志，会传输给`main`进程，并记录到文件日志
+  - 开发环境下，`main`进程终端中也会打印传输过来的日志
+
+#### 更改日志记录级别
+
+和`main`进程中一样，你可以通过`setLevel('level')`、`resetLevel()`和`getLevel()`来管理日志记录级别。
+
+同样，该日志记录级别也是全局调整的。
+
+#### 更改传输到`main`的级别
+
+将`renderer`的日志发送到`main`，并由`main`统一管理和记录到文件（根据`main`的记录到文件的级别），默认只有`warn`和`error`级别的日志会传输到`main`
+
+有以下两种方式，可以更改传输到`main`的日志级别：
+
+##### 全局更改
+
+以下方法可以分别设置、重置和获取传输到`main`的日志级别
+
+```typescript
+logger.setLogToMainLevel('newLevel')
+logger.resetLogToMainLevel()
+logger.getLogToMainLevel()
+```
+
+**注意** 该方法是全局生效的，请不要在代码中随意更改，除非你非常清楚自己在做什么
+
+##### 单条更改
+
+在日志记录的最末尾，加上`{ logToMain: true }`，即可将本条日志传输到`main`（不受全局日志级别限制），例如：
+
+```typescript
+logger.info('message', { logToMain: true })
+```
+
+## 关于`worker`线程
+
+- 现在不支持`main`进程中的`worker`的日志。
+- 支持`renderer`中起的`worker`的日志，但是现在该日志不会发送给`main`进行记录。
+
+### 如何在`renderer`的`worker`中使用日志
+
+由于`worker`线程是独立的，在其中使用LoggerService，等同于在一个新`renderer`窗口中使用。因此也必须先`initWindowSource`。
+
+如果`worker`比较简单，只有一个文件，也可以使用链式语法直接使用：
+
+```typescript
+const logger = loggerService.initWindowSource('Worker').withContext('LetsWork')
+```
+
+## 使用环境变量来筛选要显示的日志
+
+在开发环境中，可以通过环境变量的定义，来筛选要显示的日志的级别和module。开发者可以专注于自己的日志，提高开发效率。
+
+环境变量可以在终端中自行设置，或者在开发根目录的`.env`文件中进行定义，可以定义的变量如下：
+
+| 变量名                           | 含义                                                                                            |
+| -------------------------------- | ----------------------------------------------------------------------------------------------- |
+| `CSLOGGER_MAIN_LEVEL`            | 用于`main`进程的日志级别，低于该级别的日志将不显示                                              |
+| `CSLOGGER_MAIN_SHOW_MODULES`     | 用于`main`进程的日志module筛选，用`,`分隔，区分大小写。只有在该列表中的module的日志才会显示     |
+| `CSLOGGER_RENDERER_LEVEL`        | 用于`renderer`进程的日志级别，低于该级别的日志将不显示                                          |
+| `CSLOGGER_RENDERER_SHOW_MODULES` | 用于`renderer`进程的日志module筛选，用`,`分隔，区分大小写。只有在该列表中的module的日志才会显示 |
+
+示例：
+
+```bash
+CSLOGGER_MAIN_LEVEL=verbose
+CSLOGGER_MAIN_SHOW_MODULES=MCPService,SelectionService
+```
+
+注意：
+
+- 环境变量仅在开发环境中生效
+- 该变量仅会改变在终端或在devTools中显示的日志，不会影响文件日志和`logToMain`的记录逻辑
+
+## 日志级别的使用规范
+
+日志有很多级别，什么时候应该用哪个级别，下面是在CherryStudio中应该遵循的规范：
+(按日志级别从高到低排列)
+
+| 日志级别      | 核心定义与使用场景                                                                                       | 示例                                                                                                                                                 |
+| :------------ | :------------------------------------------------------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **`error`**   | **严重错误，导致程序崩溃或核心功能无法使用。** <br> 这是最高优的日志，通常需要立即上报或提示用户。       | - 主进程或渲染进程崩溃。 <br> - 无法读写用户关键数据文件（如数据库、配置文件），导致应用无法运行。<br> - 所有未捕获的异常。                          |
+| **`warn`**    | **潜在问题或非预期情况，但不影响程序核心功能。** <br> 程序可以从中恢复或使用备用方案。                   | - 配置文件 `settings.json` 缺失，已使用默认配置启动。 <br> - 自动更新检查失败，但不影响当前版本使用。<br> - 某个非核心插件加载失败。                 |
+| **`info`**    | **记录应用生命周期和关键用户行为。** <br> 这是发布版中默认应记录的级别，用于追踪用户的主要操作路径。     | - 应用启动、退出。<br> - 用户成功打开/保存文件。 <br> - 主窗口创建/关闭。<br> - 开始执行一项重要任务（如“开始导出视频”）。                           |
+| **`verbose`** | **比 `info` 更详细的流程信息，用于追踪特定功能。** <br> 在诊断特定功能问题时开启，帮助理解内部执行流程。 | - 正在加载 `Toolbar` 模块。 <br> - IPC 消息 `open-file-dialog` 已从渲染进程发送。<br> - 正在应用滤镜 'Sepia' 到图像。                                |
+| **`debug`**   | **开发和调试时使用的详细诊断信息。** <br> **严禁在发布版中默认开启**，因为它可能包含敏感数据并影响性能。 | - 函数 `renderImage` 的入参: `{ width: 800, ... }`。<br> - IPC 消息 `save-file` 收到的具体数据内容。<br> - 渲染进程中 Redux/Vuex 的 state 变更详情。 |
+| **`silly`**   | **最详尽的底层信息，仅用于极限调试。** <br> 几乎不在常规开发中使用，仅为解决棘手问题。                   | - 鼠标移动的实时坐标 `(x: 150, y: 320)`。<br> - 读取文件时每个数据块（chunk）的大小。<br> - 每一次渲染帧的耗时。                                     |

docs/technical/how-to-write-middlewares.md

@@ -80,15 +80,13 @@ import { ChunkType } from '@renderer/types' // 调整路径
 
 export const createSimpleLoggingMiddleware = (): CompletionsMiddleware => {
   return (api: MiddlewareAPI<AiProviderMiddlewareCompletionsContext, [CompletionsParams]>) => {
-    // console.log(`[LoggingMiddleware] Initialized for provider: ${api.getProviderId()}`);
-
     return (next: (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams) => Promise<any>) => {
       return async (context: AiProviderMiddlewareCompletionsContext, params: CompletionsParams): Promise<void> => {
         const startTime = Date.now()
         // 从 context 中获取 onChunk (它最初来自 params.onChunk)
         const onChunk = context.onChunk
 
-        console.log(
+        logger.debug(
           `[LoggingMiddleware] Request for ${context.methodName} with params:`,
           params.messages?.[params.messages.length - 1]?.content
         )
@@ -104,14 +102,14 @@ export const createSimpleLoggingMiddleware = (): CompletionsMiddleware => {
           // 如果在之前，那么它需要自己处理 rawSdkResponse 或确保下游会处理。
 
           const duration = Date.now() - startTime
-          console.log(`[LoggingMiddleware] Request for ${context.methodName} completed in ${duration}ms.`)
+          logger.debug(`[LoggingMiddleware] Request for ${context.methodName} completed in ${duration}ms.`)
 
           // 假设下游已经通过 onChunk 发送了所有数据。
           // 如果这个中间件是链的末端，并且需要确保 BLOCK_COMPLETE 被发送，
           // 它可能需要更复杂的逻辑来跟踪何时所有数据都已发送。
         } catch (error) {
           const duration = Date.now() - startTime
-          console.error(`[LoggingMiddleware] Request for ${context.methodName} failed after ${duration}ms:`, error)
+          logger.error(`[LoggingMiddleware] Request for ${context.methodName} failed after ${duration}ms:`, error)
 
           // 如果 onChunk 可用，可以尝试发送一个错误块
           if (onChunk) {
@@ -207,7 +205,7 @@ export default middlewareConfig
 
 ### 调试技巧
 
-- 在中间件的关键点使用 `console.log` 或调试器来检查 `params`、`context` 的状态以及 `next` 的返回值。
+- 在中间件的关键点使用 `logger.debug` 或调试器来检查 `params`、`context` 的状态以及 `next` 的返回值。
 - 暂时简化中间件链，只保留你正在调试的中间件和最简单的核心逻辑，以隔离问题。
 - 编写单元测试来独立验证每个中间件的行为。
 

electron-builder.yml

@@ -54,7 +54,7 @@ files:
   - '!node_modules/mammoth/{mammoth.browser.js,mammoth.browser.min.js}'
   - '!node_modules/selection-hook/prebuilds/**/*' # we rebuild .node, don't use prebuilds
   - '!node_modules/pdfjs-dist/web/**/*'
-  - '!node_modules/pdfjs-dist/legacy/web/*'
+  - '!node_modules/pdfjs-dist/legacy/**/*'
   - '!node_modules/selection-hook/node_modules' # we don't need what in the node_modules dir
   - '!node_modules/selection-hook/src' # we don't need source files
   - '!**/*.{h,iobj,ipdb,tlog,recipe,vcxproj,vcxproj.filters,Makefile,*.Makefile}' # filter .node build files
@@ -117,9 +117,17 @@ afterSign: scripts/notarize.js
 artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
-    划词助手：支持 macOS 系统
-    文档处理：增加 MinerU、Doc2x，Mistral 等服务商支持
-    知识库：新的知识库界面，增加扫描版 PDF 支持
-    OCR：macOS 增加系统 OCR 支持
-    服务商：支持一键添加服务商，新增 PH8 大模型开放平台, 支持 PPIO OAuth 登录
-    修复：Linux下数据目录移动问题
+    新增服务商：AWS Bedrock
+    富文本编辑器支持：提升提示词编辑体验，支持更丰富的格式调整
+    拖拽输入优化：支持从其他软件直接拖拽文本至输入框，简化内容输入流程
+    参数调节增强：新增 Top-P 和 Temperature 开关设置，提供更灵活的模型调控选项
+    翻译任务后台执行：翻译任务支持后台运行，提升多任务处理效率
+    新模型支持：新增 Qwen-MT、Qwen3235BA22Bthinking 和 sonar-deep-research 模型，扩展推理能力
+    推理稳定性提升：修复部分模型思考内容无法输出的问题，确保推理结果完整
+    Mistral 模型修复：解决 Mistral 模型无法使用的问题，恢复其推理功能
+    备份目录优化：支持相对路径输入，提升备份配置灵活性
+    数据导出调整：新增引用内容导出开关，提供更精细的导出控制
+    文本流完整性：修复文本流末尾文字丢失问题，确保输出内容完整
+    内存泄漏修复：优化代码逻辑，解决内存泄漏问题，提升运行稳定性
+    嵌入模型简化：降低嵌入模型配置复杂度，提高易用性
+    MCP Tool 长时间运行：增强 MCP 工具的稳定性，支持长时间任务执行

electron.vite.config.ts

@@ -8,6 +8,9 @@ const visualizerPlugin = (type: 'renderer' | 'main') => {
   return process.env[`VISUALIZER_${type.toUpperCase()}`] ? [visualizer({ open: true })] : []
 }
 
+const isDev = process.env.NODE_ENV === 'development'
+const isProd = process.env.NODE_ENV === 'production'
+
 export default defineConfig({
   main: {
     plugins: [externalizeDepsPlugin(), ...visualizerPlugin('main')],
@@ -15,39 +18,50 @@ export default defineConfig({
       alias: {
         '@main': resolve('src/main'),
         '@types': resolve('src/renderer/src/types'),
-        '@shared': resolve('packages/shared')
+        '@shared': resolve('packages/shared'),
+        '@logger': resolve('src/main/services/LoggerService'),
+        '@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
+        '@mcp-trace/trace-node': resolve('packages/mcp-trace/trace-node')
       }
     },
     build: {
       rollupOptions: {
         external: ['@libsql/client', 'bufferutil', 'utf-8-validate', '@cherrystudio/mac-system-ocr'],
-        output: {
-          // 彻底禁用代码分割 - 返回 null 强制单文件打包
-          manualChunks: undefined,
-          // 内联所有动态导入，这是关键配置
-          inlineDynamicImports: true
-        }
+        output: isProd
+          ? {
+              manualChunks: undefined, // 彻底禁用代码分割 - 返回 null 强制单文件打包
+              inlineDynamicImports: true // 内联所有动态导入，这是关键配置
+            }
+          : undefined
       },
-      sourcemap: process.env.NODE_ENV === 'development'
+      sourcemap: isDev
     },
+    esbuild: isProd ? { legalComments: 'none' } : {},
     optimizeDeps: {
-      noDiscovery: process.env.NODE_ENV === 'development'
+      noDiscovery: isDev
     }
   },
   preload: {
-    plugins: [externalizeDepsPlugin()],
+    plugins: [
+      react({
+        tsDecorators: true
+      }),
+      externalizeDepsPlugin()
+    ],
     resolve: {
       alias: {
-        '@shared': resolve('packages/shared')
+        '@shared': resolve('packages/shared'),
+        '@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core')
       }
     },
     build: {
-      sourcemap: process.env.NODE_ENV === 'development'
+      sourcemap: isDev
     }
   },
   renderer: {
     plugins: [
       react({
+        tsDecorators: true,
         plugins: [
           [
             '@swc/plugin-styled-components',
@@ -60,20 +74,16 @@ export default defineConfig({
           ]
         ]
       }),
-      // 只在开发环境下启用 CodeInspectorPlugin
-      ...(process.env.NODE_ENV === 'development'
-        ? [
-            CodeInspectorPlugin({
-              bundler: 'vite'
-            })
-          ]
-        : []),
+      ...(isDev ? [CodeInspectorPlugin({ bundler: 'vite' })] : []), // 只在开发环境下启用 CodeInspectorPlugin
       ...visualizerPlugin('renderer')
     ],
     resolve: {
       alias: {
         '@renderer': resolve('src/renderer/src'),
-        '@shared': resolve('packages/shared')
+        '@shared': resolve('packages/shared'),
+        '@logger': resolve('src/renderer/src/services/LoggerService'),
+        '@mcp-trace/trace-core': resolve('packages/mcp-trace/trace-core'),
+        '@mcp-trace/trace-web': resolve('packages/mcp-trace/trace-web')
       }
     },
     optimizeDeps: {
@@ -92,9 +102,11 @@ export default defineConfig({
           index: resolve(__dirname, 'src/renderer/index.html'),
           miniWindow: resolve(__dirname, 'src/renderer/miniWindow.html'),
           selectionToolbar: resolve(__dirname, 'src/renderer/selectionToolbar.html'),
-          selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html')
+          selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html'),
+          traceWindow: resolve(__dirname, 'src/renderer/traceWindow.html')
         }
       }
-    }
+    },
+    esbuild: isProd ? { legalComments: 'none' } : {}
   }
 })

eslint.config.mjs

@@ -26,32 +26,92 @@ export default defineConfig([
       'simple-import-sort/exports': 'error',
       'unused-imports/no-unused-imports': 'error',
       '@eslint-react/no-prop-types': 'error',
-      'prettier/prettier': ['error', { endOfLine: 'auto' }]
+      'prettier/prettier': ['error']
     }
   },
   // Configuration for ensuring compatibility with the original ESLint(8.x) rules
-  ...[
-    {
-      rules: {
-        '@typescript-eslint/no-require-imports': 'off',
-        '@typescript-eslint/no-unused-vars': ['error', { caughtErrors: 'none' }],
-        '@typescript-eslint/no-unused-expressions': 'off',
-        '@typescript-eslint/no-empty-object-type': 'off',
-        '@eslint-react/hooks-extra/no-direct-set-state-in-use-effect': 'off',
-        '@eslint-react/web-api/no-leaked-event-listener': 'off',
-        '@eslint-react/web-api/no-leaked-timeout': 'off',
-        '@eslint-react/no-unknown-property': 'off',
-        '@eslint-react/no-nested-component-definitions': 'off',
-        '@eslint-react/dom/no-dangerously-set-innerhtml': 'off',
-        '@eslint-react/no-array-index-key': 'off',
-        '@eslint-react/no-unstable-default-props': 'off',
-        '@eslint-react/no-unstable-context-value': 'off',
-        '@eslint-react/hooks-extra/prefer-use-state-lazy-initialization': 'off',
-        '@eslint-react/hooks-extra/no-unnecessary-use-prefix': 'off',
-        '@eslint-react/no-children-to-array': 'off'
-      }
+  {
+    rules: {
+      '@typescript-eslint/no-require-imports': 'off',
+      '@typescript-eslint/no-unused-vars': ['error', { caughtErrors: 'none' }],
+      '@typescript-eslint/no-unused-expressions': 'off',
+      '@typescript-eslint/no-empty-object-type': 'off',
+      '@eslint-react/hooks-extra/no-direct-set-state-in-use-effect': 'off',
+      '@eslint-react/web-api/no-leaked-event-listener': 'off',
+      '@eslint-react/web-api/no-leaked-timeout': 'off',
+      '@eslint-react/no-unknown-property': 'off',
+      '@eslint-react/no-nested-component-definitions': 'off',
+      '@eslint-react/dom/no-dangerously-set-innerhtml': 'off',
+      '@eslint-react/no-array-index-key': 'off',
+      '@eslint-react/no-unstable-default-props': 'off',
+      '@eslint-react/no-unstable-context-value': 'off',
+      '@eslint-react/hooks-extra/prefer-use-state-lazy-initialization': 'off',
+      '@eslint-react/hooks-extra/no-unnecessary-use-prefix': 'off',
+      '@eslint-react/no-children-to-array': 'off'
     }
-  ],
+  },
+  {
+    // LoggerService Custom Rules - only apply to src directory
+    files: ['src/**/*.{ts,tsx,js,jsx}'],
+    ignores: ['src/**/__tests__/**', 'src/**/__mocks__/**', 'src/**/*.test.*'],
+    rules: {
+      'no-restricted-syntax': [
+        process.env.PRCI ? 'error' : 'warn',
+        {
+          selector: 'CallExpression[callee.object.name="console"]',
+          message:
+            '❗CherryStudio uses unified LoggerService: 📖 docs/technical/how-to-use-logger-en.md\n❗CherryStudio 使用统一的日志服务：📖 docs/technical/how-to-use-logger-zh.md\n\n'
+        }
+      ]
+    }
+  },
+  {
+    files: ['**/*.{ts,tsx,js,jsx}'],
+    languageOptions: {
+      ecmaVersion: 2022,
+      sourceType: 'module'
+    },
+    plugins: {
+      i18n: {
+        rules: {
+          'no-template-in-t': {
+            meta: {
+              type: 'problem',
+              docs: {
+                description: '⚠️不建议在 t() 函数中使用模板字符串，这样会导致渲染结果不可预料',
+                recommended: true
+              },
+              messages: {
+                noTemplateInT: '⚠️不建议在 t() 函数中使用模板字符串，这样会导致渲染结果不可预料'
+              }
+            },
+            create(context) {
+              return {
+                CallExpression(node) {
+                  const { callee, arguments: args } = node
+                  const isTFunction =
+                    (callee.type === 'Identifier' && callee.name === 't') ||
+                    (callee.type === 'MemberExpression' &&
+                      callee.property.type === 'Identifier' &&
+                      callee.property.name === 't')
+
+                  if (isTFunction && args[0]?.type === 'TemplateLiteral') {
+                    context.report({
+                      node: args[0],
+                      messageId: 'noTemplateInT'
+                    })
+                  }
+                }
+              }
+            }
+          }
+        }
+      }
+    },
+    rules: {
+      'i18n/no-template-in-t': 'warn'
+    }
+  },
   {
     ignores: [
       'node_modules/**',

package.json

@@ -1,11 +1,14 @@
 {
   "name": "CherryStudio",
-  "version": "1.4.8",
+  "version": "1.5.4-rc.1",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
   "author": "support@cherry-ai.com",
   "homepage": "https://github.com/CherryHQ/cherry-studio",
+  "engines": {
+    "node": ">=22.0.0"
+  },
   "workspaces": {
     "packages": [
       "local",
@@ -13,37 +16,45 @@
     ],
     "installConfig": {
       "hoistingLimits": [
-        "packages/database"
+        "packages/database",
+        "packages/mcp-trace/trace-core",
+        "packages/mcp-trace/trace-node",
+        "packages/mcp-trace/trace-web"
       ]
     }
   },
   "scripts": {
     "start": "electron-vite preview",
-    "dev": "electron-vite dev",
+    "dev": "dotenv electron-vite dev",
     "debug": "electron-vite -- --inspect --sourcemap --remote-debugging-port=9222",
     "build": "npm run typecheck && electron-vite build",
-    "build:check": "yarn typecheck && yarn check:i18n && yarn test",
+    "build:check": "yarn lint && yarn test",
     "build:unpack": "dotenv npm run build && electron-builder --dir",
     "build:win": "dotenv npm run build && electron-builder --win --x64 --arm64",
     "build:win:x64": "dotenv npm run build && electron-builder --win --x64",
     "build:win:arm64": "dotenv npm run build && electron-builder --win --arm64",
-    "build:mac": "dotenv electron-vite build && electron-builder --mac --arm64 --x64",
-    "build:mac:arm64": "dotenv electron-vite build && electron-builder --mac --arm64",
-    "build:mac:x64": "dotenv electron-vite build && electron-builder --mac --x64",
-    "build:linux": "dotenv electron-vite build && electron-builder --linux --x64 --arm64",
-    "build:linux:arm64": "dotenv electron-vite build && electron-builder --linux --arm64",
-    "build:linux:x64": "dotenv electron-vite build && electron-builder --linux --x64",
+    "build:mac": "dotenv npm run build && electron-builder --mac --arm64 --x64",
+    "build:mac:arm64": "dotenv npm run build && electron-builder --mac --arm64",
+    "build:mac:x64": "dotenv npm run build && electron-builder --mac --x64",
+    "build:linux": "dotenv npm run build && electron-builder --linux --x64 --arm64",
+    "build:linux:arm64": "dotenv npm run build && electron-builder --linux --arm64",
+    "build:linux:x64": "dotenv npm run build && electron-builder --linux --x64",
     "build:npm": "node scripts/build-npm.js",
     "release": "node scripts/version.js",
     "publish": "yarn build:check && yarn release patch push",
     "pulish:artifacts": "cd packages/artifacts && npm publish && cd -",
     "generate:agents": "yarn workspace @cherry-studio/database agents",
+    "generate:icons": "electron-icon-builder --input=./build/logo.png --output=build",
     "analyze:renderer": "VISUALIZER_RENDERER=true yarn build",
     "analyze:main": "VISUALIZER_MAIN=true yarn build",
     "typecheck": "npm run typecheck:node && npm run typecheck:web",
     "typecheck:node": "tsc --noEmit -p tsconfig.node.json --composite false",
     "typecheck:web": "tsc --noEmit -p tsconfig.web.json --composite false",
-    "check:i18n": "node scripts/check-i18n.js",
+    "check:i18n": "tsx scripts/check-i18n.ts",
+    "sync:i18n": "tsx scripts/sync-i18n.ts",
+    "update:i18n": "dotenv -e .env -- tsx scripts/update-i18n.ts",
+    "auto:i18n": "dotenv -e .env -- tsx scripts/auto-translate-i18n.ts",
+    "update:languages": "tsx scripts/update-languages.ts",
     "test": "vitest run --silent",
     "test:main": "vitest run --project main",
     "test:renderer": "vitest run --project renderer",
@@ -53,22 +64,26 @@
     "test:watch": "vitest",
     "test:e2e": "yarn playwright test",
     "test:lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts",
+    "test:scripts": "vitest scripts",
     "format": "prettier --write .",
-    "lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix",
-    "prepare": "husky"
+    "lint": "eslint . --ext .js,.jsx,.cjs,.mjs,.ts,.tsx,.cts,.mts --fix && yarn typecheck && yarn check:i18n",
+    "prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky"
   },
   "dependencies": {
     "@cherrystudio/pdf-to-img-napi": "^0.0.1",
     "@libsql/client": "0.14.0",
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@strongtz/win32-arm64-msvc": "^0.4.7",
+    "express": "^5.1.0",
+    "graceful-fs": "^4.2.11",
     "jsdom": "26.1.0",
-    "macos-release": "^3.4.0",
     "node-stream-zip": "^1.15.0",
-    "notion-helper": "^1.3.22",
+    "officeparser": "^4.2.0",
     "os-proxy-config": "^1.1.2",
     "pdfjs-dist": "4.10.38",
-    "selection-hook": "^1.0.4",
+    "selection-hook": "^1.0.8",
+    "swagger-jsdoc": "^6.2.8",
+    "swagger-ui-express": "^5.0.1",
     "turndown": "7.2.0"
   },
   "devDependencies": {
@@ -77,6 +92,9 @@
     "@agentic/tavily": "^7.3.3",
     "@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",
+    "@aws-sdk/client-bedrock-runtime": "^3.840.0",
+    "@aws-sdk/client-s3": "^3.840.0",
     "@cherrystudio/embedjs": "^0.1.31",
     "@cherrystudio/embedjs-libsql": "^0.1.31",
     "@cherrystudio/embedjs-loader-csv": "^0.1.31",
@@ -89,6 +107,7 @@
     "@cherrystudio/embedjs-loader-xml": "^0.1.31",
     "@cherrystudio/embedjs-ollama": "^0.1.31",
     "@cherrystudio/embedjs-openai": "^0.1.31",
+    "@codemirror/view": "^6.0.0",
     "@electron-toolkit/eslint-config-prettier": "^3.0.0",
     "@electron-toolkit/eslint-config-ts": "^3.0.0",
     "@electron-toolkit/preload": "^3.0.0",
@@ -103,10 +122,16 @@
     "@kangfenmao/keyv-storage": "^0.1.0",
     "@langchain/community": "^0.3.36",
     "@langchain/ollama": "^0.2.1",
-    "@mistralai/mistralai": "^1.6.0",
-    "@modelcontextprotocol/sdk": "^1.11.4",
+    "@mistralai/mistralai": "^1.7.5",
+    "@modelcontextprotocol/sdk": "^1.17.0",
     "@mozilla/readability": "^0.6.0",
     "@notionhq/client": "^2.2.15",
+    "@opentelemetry/api": "^1.9.0",
+    "@opentelemetry/core": "2.0.0",
+    "@opentelemetry/exporter-trace-otlp-http": "^0.200.0",
+    "@opentelemetry/sdk-trace-base": "^2.0.0",
+    "@opentelemetry/sdk-trace-node": "^2.0.0",
+    "@opentelemetry/sdk-trace-web": "^2.0.0",
     "@playwright/test": "^1.52.0",
     "@reduxjs/toolkit": "^2.2.5",
     "@shikijs/markdown-it": "^3.7.0",
@@ -116,8 +141,13 @@
     "@testing-library/dom": "^10.4.0",
     "@testing-library/jest-dom": "^6.6.3",
     "@testing-library/react": "^16.3.0",
+    "@testing-library/user-event": "^14.6.1",
     "@tryfabric/martian": "^1.2.4",
+    "@types/cli-progress": "^3",
+    "@types/content-type": "^1.1.9",
+    "@types/cors": "^2.8.19",
     "@types/diff": "^7",
+    "@types/express": "^5",
     "@types/fs-extra": "^11",
     "@types/lodash": "^4.17.5",
     "@types/markdown-it": "^14",
@@ -128,22 +158,28 @@
     "@types/react-dom": "^19.0.4",
     "@types/react-infinite-scroll-component": "^5.0.0",
     "@types/react-window": "^1",
+    "@types/swagger-jsdoc": "^6",
+    "@types/swagger-ui-express": "^4.1.8",
     "@types/tinycolor2": "^1",
     "@types/word-extractor": "^1",
     "@uiw/codemirror-extensions-langs": "^4.23.14",
     "@uiw/codemirror-themes-all": "^4.23.14",
     "@uiw/react-codemirror": "^4.23.14",
     "@vitejs/plugin-react-swc": "^3.9.0",
-    "@vitest/browser": "^3.1.4",
-    "@vitest/coverage-v8": "^3.1.4",
-    "@vitest/ui": "^3.1.4",
-    "@vitest/web-worker": "^3.1.4",
+    "@vitest/browser": "^3.2.4",
+    "@vitest/coverage-v8": "^3.2.4",
+    "@vitest/ui": "^3.2.4",
+    "@vitest/web-worker": "^3.2.4",
+    "@viz-js/lang-dot": "^1.0.5",
+    "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
     "antd": "patch:antd@npm%3A5.24.7#~/.yarn/patches/antd-npm-5.24.7-356a553ae5.patch",
     "archiver": "^7.0.1",
     "async-mutex": "^0.5.0",
     "axios": "^1.7.3",
     "browser-image-compression": "^2.0.2",
+    "chardet": "^2.1.0",
+    "cli-progress": "^3.12.0",
     "code-inspector-plugin": "^0.20.14",
     "color": "^5.0.0",
     "country-flag-emoji-polyfill": "0.1.8",
@@ -153,13 +189,12 @@
     "diff": "^7.0.0",
     "docx": "^9.0.2",
     "dotenv-cli": "^7.4.2",
-    "electron": "35.6.0",
+    "electron": "37.2.3",
     "electron-builder": "26.0.15",
     "electron-devtools-installer": "^3.2.0",
-    "electron-log": "^5.1.5",
     "electron-store": "^8.2.0",
     "electron-updater": "6.6.4",
-    "electron-vite": "^3.1.0",
+    "electron-vite": "4.0.0",
     "electron-window-state": "^5.0.3",
     "emittery": "^1.0.3",
     "emoji-picker-element": "^1.22.1",
@@ -170,27 +205,33 @@
     "eslint-plugin-unused-imports": "^4.1.4",
     "fast-diff": "^1.3.0",
     "fast-xml-parser": "^5.2.0",
+    "fetch-socks": "1.3.2",
     "franc-min": "^6.2.0",
     "fs-extra": "^11.2.0",
     "google-auth-library": "^9.15.1",
     "html-to-image": "^1.11.13",
     "husky": "^9.1.7",
     "i18next": "^23.11.5",
+    "iconv-lite": "^0.6.3",
+    "jaison": "^2.0.2",
     "jest-styled-components": "^7.2.0",
+    "linguist-languages": "^8.0.0",
     "lint-staged": "^15.5.0",
     "lodash": "^4.17.21",
     "lru-cache": "^11.1.0",
-    "lucide-react": "^0.487.0",
+    "lucide-react": "^0.525.0",
+    "macos-release": "^3.4.0",
     "markdown-it": "^14.1.0",
     "mermaid": "^11.7.0",
     "mime": "^4.0.4",
     "motion": "^12.10.5",
+    "notion-helper": "^1.3.22",
     "npx-scope-finder": "^1.2.0",
-    "officeparser": "^4.1.1",
     "openai": "patch:openai@npm%3A5.1.0#~/.yarn/patches/openai-npm-5.1.0-0e7b3ccb07.patch",
     "p-queue": "^8.1.0",
     "playwright": "^1.52.0",
     "prettier": "^3.5.3",
+    "prettier-plugin-sort-json": "^4.1.1",
     "proxy-agent": "^6.5.0",
     "rc-virtual-list": "^3.18.6",
     "react": "^19.0.0",
@@ -198,6 +239,7 @@
     "react-hotkeys-hook": "^4.6.1",
     "react-i18next": "^14.1.2",
     "react-infinite-scroll-component": "^6.1.0",
+    "react-json-view": "^1.21.3",
     "react-markdown": "^10.1.0",
     "react-redux": "^9.1.2",
     "react-router": "6",
@@ -206,6 +248,7 @@
     "react-window": "^1.8.11",
     "redux": "^5.0.1",
     "redux-persist": "^6.0.0",
+    "reflect-metadata": "0.2.2",
     "rehype-katex": "^7.0.1",
     "rehype-mathjax": "^7.1.0",
     "rehype-raw": "^7.0.0",
@@ -216,18 +259,25 @@
     "rollup-plugin-visualizer": "^5.12.0",
     "sass": "^1.88.0",
     "shiki": "^3.7.0",
+    "strict-url-sanitise": "^0.0.1",
     "string-width": "^7.2.0",
     "styled-components": "^6.1.11",
     "tar": "^7.4.3",
     "tiny-pinyin": "^1.3.2",
     "tokenx": "^1.1.0",
+    "tsx": "^4.20.3",
     "typescript": "^5.6.2",
+    "undici": "6.21.2",
+    "unified": "^11.0.5",
     "uuid": "^10.0.0",
-    "vite": "6.2.6",
-    "vitest": "^3.1.4",
+    "vite": "npm:rolldown-vite@latest",
+    "vitest": "^3.2.4",
     "webdav": "^5.8.0",
+    "winston": "^3.17.0",
+    "winston-daily-rotate-file": "^5.0.0",
     "word-extractor": "^1.0.4",
-    "zipread": "^1.3.3"
+    "zipread": "^1.3.3",
+    "zod": "^3.25.74"
   },
   "optionalDependencies": {
     "@cherrystudio/mac-system-ocr": "^0.2.2"
@@ -242,7 +292,12 @@
     "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",
     "openai@npm:^4.87.3": "patch:openai@npm%3A5.1.0#~/.yarn/patches/openai-npm-5.1.0-0e7b3ccb07.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",
-    "@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch"
+    "@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch",
+    "node-abi": "4.12.0",
+    "undici": "6.21.2",
+    "vite": "npm:rolldown-vite@latest",
+    "atomically@npm:^1.7.0": "patch:atomically@npm%3A1.7.0#~/.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch",
+    "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"
   },
   "packageManager": "yarn@4.9.1",
   "lint-staged": {

packages/mcp-trace/trace-core/core/spanConvert.ts

@@ -0,0 +1,26 @@
+import { SpanKind, SpanStatusCode } from '@opentelemetry/api'
+import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
+
+import { SpanEntity } from '../types/config'
+
+/**
+ * convert ReadableSpan to SpanEntity
+ * @param span ReadableSpan
+ * @returns SpanEntity
+ */
+export function convertSpanToSpanEntity(span: ReadableSpan): SpanEntity {
+  return {
+    id: span.spanContext().spanId,
+    traceId: span.spanContext().traceId,
+    parentId: span.parentSpanContext?.spanId || '',
+    name: span.name,
+    startTime: span.startTime[0] * 1e3 + Math.floor(span.startTime[1] / 1e6), // 转为毫秒
+    endTime: span.endTime ? span.endTime[0] * 1e3 + Math.floor(span.endTime[1] / 1e6) : undefined, // 转为毫秒
+    attributes: { ...span.attributes },
+    status: SpanStatusCode[span.status.code],
+    events: span.events,
+    kind: SpanKind[span.kind],
+    links: span.links,
+    modelName: span.attributes?.modelName
+  } as SpanEntity
+}

packages/mcp-trace/trace-core/core/traceCache.ts

@@ -0,0 +1,7 @@
+import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
+
+export interface TraceCache {
+  createSpan: (span: ReadableSpan) => void
+  endSpan: (span: ReadableSpan) => void
+  clear: () => void
+}

packages/mcp-trace/trace-core/core/traceMethod.ts

@@ -0,0 +1,163 @@
+import 'reflect-metadata'
+
+import { SpanStatusCode, trace } from '@opentelemetry/api'
+import { context as traceContext } from '@opentelemetry/api'
+
+import { defaultConfig } from '../types/config'
+
+export interface SpanDecoratorOptions {
+  spanName?: string
+  traceName?: string
+  tag?: string
+}
+
+export function TraceMethod(traced: SpanDecoratorOptions) {
+  return function (target: any, propertyKey?: any, descriptor?: PropertyDescriptor | undefined) {
+    // 兼容静态方法装饰器只传2个参数的情况
+    if (!descriptor) {
+      descriptor = Object.getOwnPropertyDescriptor(target, propertyKey)
+    }
+    if (!descriptor || typeof descriptor.value !== 'function') {
+      throw new Error('TraceMethod can only be applied to methods.')
+    }
+
+    const originalMethod = descriptor.value
+    const traceName = traced.traceName || defaultConfig.defaultTracerName || 'default'
+    const tracer = trace.getTracer(traceName)
+
+    descriptor.value = function (...args: any[]) {
+      const name = traced.spanName || propertyKey
+      return tracer.startActiveSpan(name, async (span) => {
+        try {
+          span.setAttribute('inputs', convertToString(args))
+          span.setAttribute('tags', traced.tag || '')
+          const result = await originalMethod.apply(this, args)
+          span.setAttribute('outputs', convertToString(result))
+          span.setStatus({ code: SpanStatusCode.OK })
+          return result
+        } catch (error) {
+          const err = error instanceof Error ? error : new Error(String(error))
+          span.setStatus({
+            code: SpanStatusCode.ERROR,
+            message: err.message
+          })
+          span.recordException(err)
+          throw error
+        } finally {
+          span.end()
+        }
+      })
+    }
+    return descriptor
+  }
+}
+
+export function TraceProperty(traced: SpanDecoratorOptions) {
+  return (target: any, propertyKey: string, descriptor?: PropertyDescriptor) => {
+    // 处理箭头函数类属性
+    const traceName = traced.traceName || defaultConfig.defaultTracerName || 'default'
+    const tracer = trace.getTracer(traceName)
+    const name = traced.spanName || propertyKey
+
+    if (!descriptor) {
+      const originalValue = target[propertyKey]
+
+      Object.defineProperty(target, propertyKey, {
+        value: async function (...args: any[]) {
+          const span = tracer.startSpan(name)
+          try {
+            span.setAttribute('inputs', convertToString(args))
+            span.setAttribute('tags', traced.tag || '')
+            const result = await originalValue.apply(this, args)
+            span.setAttribute('outputs', convertToString(result))
+            return result
+          } catch (error) {
+            const err = error instanceof Error ? error : new Error(String(error))
+            span.recordException(err)
+            span.setStatus({ code: SpanStatusCode.ERROR, message: err.message })
+            throw error
+          } finally {
+            span.end()
+          }
+        },
+        configurable: true,
+        writable: true
+      })
+      return
+    }
+
+    // 标准方法装饰器逻辑
+    const originalMethod = descriptor.value
+
+    descriptor.value = async function (...args: any[]) {
+      const span = tracer.startSpan(name)
+      try {
+        span.setAttribute('inputs', convertToString(args))
+        span.setAttribute('tags', traced.tag || '')
+        const result = await originalMethod.apply(this, args)
+        span.setAttribute('outputs', convertToString(result))
+        return result
+      } catch (error) {
+        const err = error instanceof Error ? error : new Error(String(error))
+        span.recordException(err)
+        span.setStatus({ code: SpanStatusCode.ERROR, message: err.message })
+        throw error
+      } finally {
+        span.end()
+      }
+    }
+  }
+}
+
+export function withSpanFunc<F extends (...args: any[]) => any>(
+  name: string,
+  tag: string,
+  fn: F,
+  args: Parameters<F>
+): ReturnType<F> {
+  const traceName = defaultConfig.defaultTracerName || 'default'
+  const tracer = trace.getTracer(traceName)
+  const _name = name || fn.name || 'anonymousFunction'
+  return traceContext.with(traceContext.active(), () =>
+    tracer.startActiveSpan(
+      _name,
+      {
+        attributes: {
+          tags: tag || '',
+          inputs: JSON.stringify(args)
+        }
+      },
+      (span) => {
+        // 在这里调用原始函数
+        const result = fn(...args)
+        if (result instanceof Promise) {
+          return result
+            .then((res) => {
+              span.setStatus({ code: SpanStatusCode.OK })
+              span.setAttribute('outputs', convertToString(res))
+              return res
+            })
+            .catch((error) => {
+              const err = error instanceof Error ? error : new Error(String(error))
+              span.setStatus({ code: SpanStatusCode.ERROR, message: err.message })
+              span.recordException(err)
+              throw error
+            })
+            .finally(() => span.end())
+        } else {
+          span.setStatus({ code: SpanStatusCode.OK })
+          span.setAttribute('outputs', convertToString(result))
+          span.end()
+        }
+        return result
+      }
+    )
+  )
+}
+
+function convertToString(args: any | any[]): string | boolean | number {
+  if (typeof args === 'string' || typeof args === 'boolean' || typeof args === 'number') {
+    return args
+  }
+  return JSON.stringify(args)
+}

packages/mcp-trace/trace-core/exporters/FuncSpanExporter.ts

@@ -0,0 +1,26 @@
+import { ExportResult, ExportResultCode } from '@opentelemetry/core'
+import { ReadableSpan, SpanExporter } from '@opentelemetry/sdk-trace-base'
+
+export type SaveFunction = (spans: ReadableSpan[]) => Promise<void>
+
+export class FunctionSpanExporter implements SpanExporter {
+  private exportFunction: SaveFunction
+
+  constructor(fn: SaveFunction) {
+    this.exportFunction = fn
+  }
+
+  shutdown(): Promise<void> {
+    return Promise.resolve()
+  }
+
+  export(spans: ReadableSpan[], resultCallback: (result: ExportResult) => void): void {
+    this.exportFunction(spans)
+      .then(() => {
+        resultCallback({ code: ExportResultCode.SUCCESS })
+      })
+      .catch((error) => {
+        resultCallback({ code: ExportResultCode.FAILED, error: error })
+      })
+  }
+}

packages/mcp-trace/trace-core/index.ts

@@ -0,0 +1,8 @@
+export * from './core/spanConvert'
+export * from './core/traceCache'
+export * from './core/traceMethod'
+export * from './exporters/FuncSpanExporter'
+export * from './processors/CacheSpanProcessor'
+export * from './processors/EmitterSpanProcessor'
+export * from './processors/FuncSpanProcessor'
+export * from './types/config'

packages/mcp-trace/trace-core/processors/CacheSpanProcessor.ts

@@ -0,0 +1,40 @@
+import { Context, trace } from '@opentelemetry/api'
+import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+
+import { TraceCache } from '../core/traceCache'
+
+export class CacheBatchSpanProcessor extends BatchSpanProcessor {
+  private cache: TraceCache
+
+  constructor(_exporter: SpanExporter, cache: TraceCache, config?: BufferConfig) {
+    super(_exporter, config)
+    this.cache = cache
+  }
+
+  override onEnd(span: ReadableSpan): void {
+    super.onEnd(span)
+    this.cache.endSpan(span)
+  }
+
+  override onStart(span: Span, parentContext: Context): void {
+    super.onStart(span, parentContext)
+    this.cache.createSpan({
+      name: span.name,
+      kind: span.kind,
+      spanContext: () => span.spanContext(),
+      parentSpanContext: trace.getSpanContext(parentContext),
+      startTime: span.startTime,
+      status: span.status,
+      attributes: span.attributes,
+      links: span.links,
+      events: span.events,
+      duration: span.duration,
+      ended: span.ended,
+      resource: span.resource,
+      instrumentationScope: span.instrumentationScope,
+      droppedAttributesCount: span.droppedAttributesCount,
+      droppedEventsCount: span.droppedEventsCount,
+      droppedLinksCount: span.droppedLinksCount
+    } as ReadableSpan)
+  }
+}

packages/mcp-trace/trace-core/processors/EmitterSpanProcessor.ts

@@ -0,0 +1,28 @@
+import { Context } from '@opentelemetry/api'
+import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import { EventEmitter } from 'stream'
+
+import { convertSpanToSpanEntity } from '../core/spanConvert'
+
+export const TRACE_DATA_EVENT = 'trace_data_event'
+export const ON_START = 'start'
+export const ON_END = 'end'
+
+export class EmitterSpanProcessor extends BatchSpanProcessor {
+  private emitter: EventEmitter
+
+  constructor(_exporter: SpanExporter, emitter: NodeJS.EventEmitter, config?: BufferConfig) {
+    super(_exporter, config)
+    this.emitter = emitter
+  }
+
+  override onEnd(span: ReadableSpan): void {
+    super.onEnd(span)
+    this.emitter.emit(TRACE_DATA_EVENT, ON_END, convertSpanToSpanEntity(span))
+  }
+
+  override onStart(span: Span, parentContext: Context): void {
+    super.onStart(span, parentContext)
+    this.emitter.emit(TRACE_DATA_EVENT, ON_START, convertSpanToSpanEntity(span))
+  }
+}

packages/mcp-trace/trace-core/processors/FuncSpanProcessor.ts

@@ -0,0 +1,42 @@
+import { Context, trace } from '@opentelemetry/api'
+import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+
+export type SpanFunction = (span: ReadableSpan) => void
+
+export class FunctionSpanProcessor extends BatchSpanProcessor {
+  private start: SpanFunction
+  private end: SpanFunction
+
+  constructor(_exporter: SpanExporter, start: SpanFunction, end: SpanFunction, config?: BufferConfig) {
+    super(_exporter, config)
+    this.start = start
+    this.end = end
+  }
+
+  override onEnd(span: ReadableSpan): void {
+    super.onEnd(span)
+    this.end(span)
+  }
+
+  override onStart(span: Span, parentContext: Context): void {
+    super.onStart(span, parentContext)
+    this.start({
+      name: span.name,
+      kind: span.kind,
+      spanContext: () => span.spanContext(),
+      parentSpanContext: trace.getSpanContext(parentContext),
+      startTime: span.startTime,
+      status: span.status,
+      attributes: span.attributes,
+      links: span.links,
+      events: span.events,
+      duration: span.duration,
+      ended: span.ended,
+      resource: span.resource,
+      instrumentationScope: span.instrumentationScope,
+      droppedAttributesCount: span.droppedAttributesCount,
+      droppedEventsCount: span.droppedEventsCount,
+      droppedLinksCount: span.droppedLinksCount
+    } as ReadableSpan)
+  }
+}

packages/mcp-trace/trace-core/types/config.ts

@@ -0,0 +1,65 @@
+import { Link } from '@opentelemetry/api'
+import { TimedEvent } from '@opentelemetry/sdk-trace-base'
+
+export type AttributeValue =
+  | string
+  | number
+  | boolean
+  | Array<null | undefined | string>
+  | Array<null | undefined | number>
+  | Array<null | undefined | boolean>
+  | { [key: string]: string | number | boolean }
+  | Array<null | undefined | { [key: string]: string | number | boolean }>
+
+export type Attributes = {
+  [key: string]: AttributeValue
+}
+
+export interface TelemetryConfig {
+  serviceName: string
+  endpoint?: string
+  headers?: Record<string, string>
+  defaultTracerName?: string
+}
+
+export interface TraceConfig extends TelemetryConfig {
+  maxAttributesPerSpan?: number
+}
+
+export interface TraceEntity {
+  id: string
+  name: string
+}
+
+export interface TokenUsage {
+  prompt_tokens: number
+  completion_tokens: number
+  total_tokens: number
+  prompt_tokens_details?: {
+    [key: string]: number
+  }
+}
+
+export interface SpanEntity {
+  id: string
+  name: string
+  parentId: string
+  traceId: string
+  status: string
+  kind: string
+  attributes: Attributes | undefined
+  isEnd: boolean
+  events: TimedEvent[] | undefined
+  startTime: number
+  endTime: number | null
+  links: Link[] | undefined
+  topicId?: string
+  usage?: TokenUsage
+  modelName?: string
+}
+
+export const defaultConfig: TelemetryConfig = {
+  serviceName: 'default',
+  headers: {},
+  defaultTracerName: 'default'
+}

packages/mcp-trace/trace-node/nodeTracer.ts

@@ -0,0 +1,46 @@
+import { trace, Tracer } from '@opentelemetry/api'
+import { AsyncLocalStorageContextManager } from '@opentelemetry/context-async-hooks'
+import { W3CTraceContextPropagator } from '@opentelemetry/core'
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
+import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node'
+
+import { defaultConfig, TraceConfig } from '../trace-core/types/config'
+
+export class NodeTracer {
+  private static provider: NodeTracerProvider
+  private static defaultTracer: Tracer
+  private static spanProcessor: SpanProcessor
+
+  static init(config?: TraceConfig, spanProcessor?: SpanProcessor) {
+    if (config) {
+      defaultConfig.serviceName = config.serviceName || defaultConfig.serviceName
+      defaultConfig.endpoint = config.endpoint || defaultConfig.endpoint
+      defaultConfig.headers = config.headers || defaultConfig.headers
+      defaultConfig.defaultTracerName = config.defaultTracerName || defaultConfig.defaultTracerName
+    }
+    this.spanProcessor = spanProcessor || new BatchSpanProcessor(this.getExporter())
+    this.provider = new NodeTracerProvider({
+      spanProcessors: [this.spanProcessor]
+    })
+    this.provider.register({
+      propagator: new W3CTraceContextPropagator(),
+      contextManager: new AsyncLocalStorageContextManager()
+    })
+    this.defaultTracer = trace.getTracer(config?.defaultTracerName || 'default')
+  }
+
+  private static getExporter(config?: TraceConfig) {
+    if (config && config.endpoint) {
+      return new OTLPTraceExporter({
+        url: `${config.endpoint}/v1/traces`,
+        headers: config.headers || undefined
+      })
+    }
+    return new ConsoleSpanExporter()
+  }
+
+  public static getTracer() {
+    return this.defaultTracer
+  }
+}

packages/mcp-trace/trace-web/TopicContextManager.ts

@@ -0,0 +1,75 @@
+import { Context, ContextManager, ROOT_CONTEXT } from '@opentelemetry/api'
+
+export class TopicContextManager implements ContextManager {
+  private topicContextStack: Map<string, Context[]>
+  private _topicContexts: Map<string, Context>
+
+  constructor() {
+    // topicId -> context
+    this.topicContextStack = new Map()
+    this._topicContexts = new Map()
+  }
+
+  // 绑定一个context到topicId
+  startContextForTopic(topicId, context: Context) {
+    const currentContext = this.getCurrentContext(topicId)
+    this._topicContexts.set(topicId, context)
+    if (!this.topicContextStack.has(topicId) && !this.topicContextStack.get(topicId)) {
+      this.topicContextStack.set(topicId, [currentContext])
+    } else {
+      this.topicContextStack.get(topicId)?.push(currentContext)
+    }
+  }
+
+  // 获取topicId对应的context
+  getContextForTopic(topicId) {
+    return this.getCurrentContext(topicId)
+  }
+
+  endContextForTopic(topicId) {
+    const context = this.getHistoryContext(topicId)
+    this._topicContexts.set(topicId, context)
+  }
+
+  cleanContextForTopic(topicId) {
+    this.topicContextStack.delete(topicId)
+    this._topicContexts.delete(topicId)
+  }
+
+  private getHistoryContext(topicId): Context {
+    const hasContext = this.topicContextStack.has(topicId) && this.topicContextStack.get(topicId)
+    const context = hasContext && hasContext.length > 0 && hasContext.pop()
+    return context ? context : ROOT_CONTEXT
+  }
+
+  private getCurrentContext(topicId): Context {
+    const hasContext = this._topicContexts.has(topicId) && this._topicContexts.get(topicId)
+    return hasContext || ROOT_CONTEXT
+  }
+
+  // OpenTelemetry接口实现
+  active() {
+    // 不支持全局active，必须显式传递
+    return ROOT_CONTEXT
+  }
+
+  with(_, fn, thisArg, ...args) {
+    // 直接调用fn，不做全局active切换
+    return fn.apply(thisArg, args)
+  }
+
+  bind(target, context) {
+    // 显式绑定
+    target.__ot_context = context
+    return target
+  }
+
+  enable() {
+    return this
+  }
+
+  disable() {
+    this._topicContexts.clear()
+    return this
+  }
+}

packages/mcp-trace/trace-web/index.ts

@@ -0,0 +1,3 @@
+export * from './TopicContextManager'
+export * from './traceContextPromise'
+export * from './webTracer'

packages/mcp-trace/trace-web/traceContextPromise.ts

@@ -0,0 +1,99 @@
+import { Context, context } from '@opentelemetry/api'
+
+const originalPromise = globalThis.Promise
+
+class TraceContextPromise<T> extends Promise<T> {
+  _context: Context
+
+  constructor(
+    executor: (resolve: (value: T | PromiseLike<T>) => void, reject: (reason?: any) => void) => void,
+    ctx?: Context
+  ) {
+    const capturedContext = ctx || context.active()
+    super((resolve, reject) => {
+      context.with(capturedContext, () => {
+        executor(
+          (value) => context.with(capturedContext, () => resolve(value)),
+          (reason) => context.with(capturedContext, () => reject(reason))
+        )
+      })
+    })
+    this._context = capturedContext
+  }
+
+  // 兼容 Promise.resolve/reject
+  static resolve(): Promise<void>
+  static resolve<T>(value: T | PromiseLike<T>): Promise<T>
+  static resolve<T>(value: T | PromiseLike<T>, ctx?: Context): Promise<T>
+  static resolve<T>(value?: T | PromiseLike<T>, ctx?: Context): Promise<T | void> {
+    return new TraceContextPromise<T | void>((resolve) => resolve(value as T), ctx)
+  }
+
+  static reject<T = never>(reason?: any): Promise<T>
+  static reject<T = never>(reason?: any, ctx?: Context): Promise<T> {
+    return new TraceContextPromise<T>((_, reject) => reject(reason), ctx)
+  }
+
+  static all<T>(values: (T | PromiseLike<T>)[]): Promise<T[]> {
+    // 尝试从缓存获取 context
+    let capturedContext = context.active()
+    const newValues = values.map((v) => {
+      if (v instanceof Promise && !(v instanceof TraceContextPromise)) {
+        return new TraceContextPromise((resolve, reject) => v.then(resolve, reject), capturedContext)
+      } else if (typeof v === 'function') {
+        // 如果 v 是一个 Function，使用 context 传递 trace 上下文
+        return (...args: any[]) => context.with(capturedContext, () => v(...args))
+      } else {
+        return v
+      }
+    })
+    if (Array.isArray(values) && values.length > 0 && values[0] instanceof TraceContextPromise) {
+      capturedContext = (values[0] as TraceContextPromise<any>)._context
+    }
+    return originalPromise.all(newValues) as Promise<T[]>
+  }
+
+  static race<T>(values: (T | PromiseLike<T>)[]): Promise<T> {
+    const capturedContext = context.active()
+    return new TraceContextPromise<T>((resolve, reject) => {
+      originalPromise.race(values).then(
+        (result) => context.with(capturedContext, () => resolve(result)),
+        (err) => context.with(capturedContext, () => reject(err))
+      )
+    }, capturedContext)
+  }
+
+  static allSettled<T>(values: (T | PromiseLike<T>)[]): Promise<PromiseSettledResult<T>[]> {
+    const capturedContext = context.active()
+    return new TraceContextPromise<PromiseSettledResult<T>[]>((resolve, reject) => {
+      originalPromise.allSettled(values).then(
+        (result) => context.with(capturedContext, () => resolve(result)),
+        (err) => context.with(capturedContext, () => reject(err))
+      )
+    }, capturedContext)
+  }
+
+  static any<T>(values: (T | PromiseLike<T>)[]): Promise<T> {
+    const capturedContext = context.active()
+    return new TraceContextPromise<T>((resolve, reject) => {
+      originalPromise.any(values).then(
+        (result) => context.with(capturedContext, () => resolve(result)),
+        (err) => context.with(capturedContext, () => reject(err))
+      )
+    }, capturedContext)
+  }
+}
+
+/**
+ * 用 TraceContextPromise 替换全局 Promise
+ */
+export function instrumentPromises() {
+  globalThis.Promise = TraceContextPromise as unknown as PromiseConstructor
+}
+
+/**
+ * 恢复原生 Promise
+ */
+export function uninstrumentPromises() {
+  globalThis.Promise = originalPromise
+}

packages/mcp-trace/trace-web/webTracer.ts

@@ -0,0 +1,46 @@
+import { W3CTraceContextPropagator } from '@opentelemetry/core'
+import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
+import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import { WebTracerProvider } from '@opentelemetry/sdk-trace-web'
+
+import { defaultConfig, TraceConfig } from '../trace-core/types/config'
+import { TopicContextManager } from './TopicContextManager'
+
+export const contextManager = new TopicContextManager()
+
+export class WebTracer {
+  private static provider: WebTracerProvider
+  private static processor: SpanProcessor
+
+  static init(config?: TraceConfig, spanProcessor?: SpanProcessor) {
+    if (config) {
+      defaultConfig.serviceName = config.serviceName || defaultConfig.serviceName
+      defaultConfig.endpoint = config.endpoint || defaultConfig.endpoint
+      defaultConfig.headers = config.headers || defaultConfig.headers
+      defaultConfig.defaultTracerName = config.defaultTracerName || defaultConfig.defaultTracerName
+    }
+    this.processor = spanProcessor || new BatchSpanProcessor(this.getExporter())
+    this.provider = new WebTracerProvider({
+      spanProcessors: [this.processor]
+    })
+    this.provider.register({
+      propagator: new W3CTraceContextPropagator(),
+      contextManager: contextManager
+    })
+  }
+
+  private static getExporter() {
+    if (defaultConfig.endpoint) {
+      return new OTLPTraceExporter({
+        url: `${defaultConfig.endpoint}/v1/traces`,
+        headers: defaultConfig.headers
+      })
+    }
+    return new ConsoleSpanExporter()
+  }
+}
+
+export const startContext = contextManager.startContextForTopic.bind(contextManager)
+export const getContext = contextManager.getContextForTopic.bind(contextManager)
+export const endContext = contextManager.endContextForTopic.bind(contextManager)
+export const cleanContext = contextManager.cleanContextForTopic.bind(contextManager)

packages/shared/IpcChannel.ts

@@ -20,6 +20,8 @@ export enum IpcChannel {
   App_HandleZoomFactor = 'app:handle-zoom-factor',
   App_Select = 'app:select',
   App_HasWritePermission = 'app:has-write-permission',
+  App_ResolvePath = 'app:resolve-path',
+  App_IsPathInside = 'app:is-path-inside',
   App_Copy = 'app:copy',
   App_SetStopQuitApp = 'app:set-stop-quit-app',
   App_SetAppDataPath = 'app:set-app-data-path',
@@ -31,6 +33,7 @@ export enum IpcChannel {
   App_GetBinaryPath = 'app:get-binary-path',
   App_InstallUvBinary = 'app:install-uv-binary',
   App_InstallBunBinary = 'app:install-bun-binary',
+  App_LogToMain = 'app:log-to-main',
 
   App_MacIsProcessTrusted = 'app:mac-is-process-trusted',
   App_MacRequestProcessTrust = 'app:mac-request-process-trust',
@@ -74,6 +77,9 @@ export enum IpcChannel {
   Mcp_ServersChanged = 'mcp:servers-changed',
   Mcp_ServersUpdated = 'mcp:servers-updated',
   Mcp_CheckConnectivity = 'mcp:check-connectivity',
+  Mcp_UploadDxt = 'mcp:upload-dxt',
+  Mcp_AbortTool = 'mcp:abort-tool',
+  Mcp_GetServerVersion = 'mcp:get-server-version',
 
   // Python
   Python_Execute = 'python:execute',
@@ -107,6 +113,7 @@ export enum IpcChannel {
 
   // VertexAI
   VertexAI_GetAuthHeaders = 'vertexai:get-auth-headers',
+  VertexAI_GetAccessToken = 'vertexai:get-access-token',
   VertexAI_ClearAuthCache = 'vertexai:clear-auth-cache',
 
   Windows_ResetMinimumSize = 'window:reset-minimum-size',
@@ -145,6 +152,7 @@ export enum IpcChannel {
   File_Base64File = 'file:base64File',
   File_GetPdfInfo = 'file:getPdfInfo',
   Fs_Read = 'fs:read',
+  File_OpenWithRelativePath = 'file:openWithRelativePath',
 
   // file service
   FileService_Upload = 'file-service:upload',
@@ -165,6 +173,15 @@ export enum IpcChannel {
   Backup_CheckConnection = 'backup:checkConnection',
   Backup_CreateDirectory = 'backup:createDirectory',
   Backup_DeleteWebdavFile = 'backup:deleteWebdavFile',
+  Backup_BackupToLocalDir = 'backup:backupToLocalDir',
+  Backup_RestoreFromLocalBackup = 'backup:restoreFromLocalBackup',
+  Backup_ListLocalBackupFiles = 'backup:listLocalBackupFiles',
+  Backup_DeleteLocalBackupFile = 'backup:deleteLocalBackupFile',
+  Backup_BackupToS3 = 'backup:backupToS3',
+  Backup_RestoreFromS3 = 'backup:restoreFromS3',
+  Backup_ListS3Files = 'backup:listS3Files',
+  Backup_DeleteS3File = 'backup:deleteS3File',
+  Backup_CheckS3Connection = 'backup:checkS3Connection',
 
   // zip
   Zip_Compress = 'zip:compress',
@@ -229,5 +246,65 @@ export enum IpcChannel {
   Selection_ActionWindowMinimize = 'selection:action-window-minimize',
   Selection_ActionWindowPin = 'selection:action-window-pin',
   Selection_ProcessAction = 'selection:process-action',
-  Selection_UpdateActionData = 'selection:update-action-data'
+  Selection_UpdateActionData = 'selection:update-action-data',
+
+  // Memory
+  Memory_Add = 'memory:add',
+  Memory_Search = 'memory:search',
+  Memory_List = 'memory:list',
+  Memory_Delete = 'memory:delete',
+  Memory_Update = 'memory:update',
+  Memory_Get = 'memory:get',
+  Memory_SetConfig = 'memory:set-config',
+  Memory_DeleteUser = 'memory:delete-user',
+  Memory_DeleteAllMemoriesForUser = 'memory:delete-all-memories-for-user',
+  Memory_GetUsersList = 'memory:get-users-list',
+
+  // TRACE
+  TRACE_SAVE_DATA = 'trace:saveData',
+  TRACE_GET_DATA = 'trace:getData',
+  TRACE_SAVE_ENTITY = 'trace:saveEntity',
+  TRACE_GET_ENTITY = 'trace:getEntity',
+  TRACE_BIND_TOPIC = 'trace:bindTopic',
+  TRACE_CLEAN_TOPIC = 'trace:cleanTopic',
+  TRACE_TOKEN_USAGE = 'trace:tokenUsage',
+  TRACE_CLEAN_HISTORY = 'trace:cleanHistory',
+  TRACE_OPEN_WINDOW = 'trace:openWindow',
+  TRACE_SET_TITLE = 'trace:setTitle',
+  TRACE_ADD_END_MESSAGE = 'trace:addEndMessage',
+  TRACE_CLEAN_LOCAL_DATA = 'trace:cleanLocalData',
+  TRACE_ADD_STREAM_MESSAGE = 'trace:addStreamMessage',
+  // API Server
+  ApiServer_Start = 'api-server:start',
+  ApiServer_Stop = 'api-server:stop',
+  ApiServer_Restart = 'api-server:restart',
+  ApiServer_GetStatus = 'api-server:get-status',
+  ApiServer_GetConfig = 'api-server:get-config',
+
+  // Agent Management
+  Agent_Create = 'agent:create',
+  Agent_Update = 'agent:update',
+  Agent_GetById = 'agent:get-by-id',
+  Agent_List = 'agent:list',
+  Agent_Delete = 'agent:delete',
+
+  // Session Management
+  Session_Create = 'session:create',
+  Session_Update = 'session:update',
+  Session_UpdateStatus = 'session:update-status',
+  Session_GetById = 'session:get-by-id',
+  Session_List = 'session:list',
+  Session_Delete = 'session:delete',
+
+  // Session Log Management
+  SessionLog_Add = 'session-log:add',
+  SessionLog_GetBySessionId = 'session-log:get-by-session-id',
+  SessionLog_ClearBySessionId = 'session-log:clear-by-session-id',
+
+  // Agent Execution
+  Agent_Run = 'agent:run',
+  Agent_Stop = 'agent:stop',
+  Agent_ExecutionOutput = 'agent:execution-output',
+  Agent_ExecutionComplete = 'agent:execution-complete',
+  Agent_ExecutionError = 'agent:execution-error'
 }

packages/shared/config/constant.ts

@@ -1,311 +1,127 @@
+import { languages } from './languages'
+
 export const imageExts = ['.jpg', '.jpeg', '.png', '.gif', '.bmp', '.webp']
 export const videoExts = ['.mp4', '.avi', '.mov', '.wmv', '.flv', '.mkv']
 export const audioExts = ['.mp3', '.wav', '.ogg', '.flac', '.aac']
 export const documentExts = ['.pdf', '.doc', '.docx', '.pptx', '.xlsx', '.odt', '.odp', '.ods']
 export const thirdPartyApplicationExts = ['.draftsExport']
 export const bookExts = ['.epub']
-const textExtsByCategory = new Map([
+
+/**
+ * A flat array of all file extensions known by the linguist database.
+ * This is the primary source for identifying code files.
+ */
+const linguistExtSet = new Set<string>()
+for (const lang of Object.values(languages)) {
+  if (lang.extensions) {
+    for (const ext of lang.extensions) {
+      linguistExtSet.add(ext)
+    }
+  }
+}
+export const codeLangExts = Array.from(linguistExtSet)
+
+/**
+ * A categorized map of custom text-based file extensions that are NOT included
+ * in the linguist database. This is for special cases or project-specific files.
+ */
+export const customTextExts = new Map([
   [
     'language',
     [
-      '.js',
-      '.mjs',
-      '.cjs',
-      '.ts',
-      '.jsx',
-      '.tsx', // JavaScript/TypeScript
-      '.py', // Python
-      '.java', // Java
-      '.cs', // C#
-      '.cpp',
-      '.c',
-      '.h',
-      '.hpp',
-      '.cc',
-      '.cxx',
-      '.cppm',
-      '.ipp',
-      '.ixx', // C/C++
-      '.php', // PHP
-      '.rb', // Ruby
-      '.pl', // Perl
-      '.go', // Go
-      '.rs', // Rust
-      '.swift', // Swift
-      '.kt',
-      '.kts', // Kotlin
-      '.scala', // Scala
-      '.lua', // Lua
-      '.groovy', // Groovy
-      '.dart', // Dart
-      '.hs', // Haskell
-      '.clj',
-      '.cljs', // Clojure
-      '.elm', // Elm
-      '.erl', // Erlang
-      '.ex',
-      '.exs', // Elixir
-      '.ml',
-      '.mli', // OCaml
-      '.fs', // F#
-      '.r',
       '.R', // R
-      '.sol', // Solidity
-      '.awk', // AWK
-      '.cob', // COBOL
-      '.asm',
-      '.s', // Assembly
-      '.lisp',
-      '.lsp', // Lisp
-      '.coffee', // CoffeeScript
-      '.ino', // Arduino
-      '.jl', // Julia
-      '.nim', // Nim
-      '.zig', // Zig
-      '.d', // D语言
-      '.pas', // Pascal
-      '.vb', // Visual Basic
-      '.rkt', // Racket
-      '.scm', // Scheme
-      '.hx', // Haxe
-      '.as', // ActionScript
-      '.pde', // Processing
-      '.f90',
-      '.f',
-      '.f03',
-      '.for',
-      '.f95', // Fortran
-      '.adb',
-      '.ads', // Ada
-      '.pro', // Prolog
-      '.m',
-      '.mm', // Objective-C/MATLAB
-      '.rpy', // Ren'Py
       '.ets', // OpenHarmony,
       '.uniswap', // DeFi
-      '.vy', // Vyper
-      '.shader',
-      '.glsl',
-      '.frag',
-      '.vert',
-      '.gd' // Godot
-    ]
-  ],
-  [
-    'script',
-    [
-      '.sh', // Shell
-      '.bat',
-      '.cmd', // Windows批处理
-      '.ps1', // PowerShell
-      '.tcl',
-      '.do', // Tcl
-      '.ahk', // AutoHotkey
-      '.zsh', // Zsh
-      '.fish', // Fish shell
-      '.csh', // C shell
-      '.vbs', // VBScript
-      '.applescript', // AppleScript
-      '.au3', // AutoIt
-      '.bash',
-      '.nu'
-    ]
-  ],
-  [
-    'style',
-    [
-      '.css', // CSS
-      '.less', // Less
-      '.scss',
-      '.sass', // Sass
-      '.styl', // Stylus
-      '.pcss', // PostCSS
-      '.postcss' // PostCSS
+      '.usf', // Unreal shader format
+      '.ush' // Unreal shader header
     ]
   ],
   [
     'template',
     [
-      '.vue', // Vue.js
-      '.pug',
-      '.jade', // Pug/Jade
-      '.haml', // Haml
-      '.slim', // Slim
-      '.tpl', // 通用模板
-      '.ejs', // EJS
-      '.hbs', // Handlebars
-      '.mustache', // Mustache
-      '.twig', // Twig
-      '.blade', // Blade (Laravel)
-      '.liquid', // Liquid
-      '.jinja',
-      '.jinja2',
-      '.j2', // Jinja
-      '.erb', // ERB
-      '.vm', // Velocity
-      '.ftl', // FreeMarker
-      '.svelte', // Svelte
-      '.astro' // Astro
+      '.vm' // Velocity
     ]
   ],
   [
     'config',
     [
-      '.ini', // INI配置
+      '.babelrc', // Babel
+      '.bashrc',
+      '.browserslistrc',
       '.conf',
       '.config', // 通用配置
-      '.env', // 环境变量
-      '.toml', // TOML
-      '.cfg', // 通用配置
-      '.properties', // Java属性
-      '.desktop', // Linux桌面文件
-      '.service', // systemd服务
-      '.rc',
-      '.bashrc',
-      '.zshrc', // Shell配置
-      '.fishrc', // Fish shell配置
-      '.vimrc', // Vim配置
-      '.htaccess', // Apache配置
-      '.robots', // robots.txt
-      '.editorconfig', // EditorConfig
-      '.eslintrc', // ESLint
-      '.prettierrc', // Prettier
-      '.babelrc', // Babel
-      '.npmrc', // npm
       '.dockerignore', // Docker ignore
-      '.npmignore',
-      '.yarnrc',
-      '.prettierignore',
       '.eslintignore',
-      '.browserslistrc',
-      '.json5',
-      '.tfvars'
+      '.eslintrc', // ESLint
+      '.fishrc', // Fish shell配置
+      '.htaccess', // Apache配置
+      '.npmignore',
+      '.npmrc', // npm
+      '.prettierignore',
+      '.prettierrc', // Prettier
+      '.rc',
+      '.robots', // robots.txt
+      '.yarnrc',
+      '.zshrc'
     ]
   ],
   [
     'document',
     [
-      '.txt',
-      '.text', // 纯文本
-      '.md',
-      '.mdx', // Markdown
-      '.html',
-      '.htm',
-      '.xhtml', // HTML
-      '.xml', // XML
-      '.org', // Org-mode
-      '.wiki', // Wiki
-      '.tex',
-      '.bib', // LaTeX
-      '.rst', // reStructuredText
-      '.rtf', // 富文本
-      '.nfo', // 信息文件
-      '.adoc',
-      '.asciidoc', // AsciiDoc
-      '.pod', // Perl文档
-      '.1',
-      '.2',
-      '.3',
-      '.4',
-      '.5',
-      '.6',
-      '.7',
-      '.8',
-      '.9', // man页面
-      '.man', // man页面
-      '.texi',
-      '.texinfo', // Texinfo
-      '.readme',
-      '.me', // README
+      '.authors', // 作者文件
       '.changelog', // 变更日志
       '.license', // 许可证
-      '.authors', // 作者文件
-      '.po',
-      '.pot'
+      '.nfo', // 信息文件
+      '.readme',
+      '.text' // 纯文本
     ]
   ],
   [
     'data',
     [
-      '.json', // JSON
-      '.jsonc', // JSON with comments
-      '.yaml',
-      '.yml', // YAML
-      '.csv',
-      '.tsv', // 分隔值文件
-      '.edn', // Clojure数据
-      '.jsonl',
-      '.ndjson', // 换行分隔JSON
-      '.geojson', // GeoJSON
-      '.gpx', // GPS Exchange
-      '.kml', // Keyhole Markup
-      '.rss',
       '.atom', // Feed格式
-      '.vcf', // vCard
-      '.ics', // iCalendar
-      '.ldif', // LDAP数据交换
-      '.pbtxt',
-      '.map'
+      '.ldif',
+      '.map',
+      '.ndjson' // 换行分隔JSON
     ]
   ],
   [
     'build',
     [
-      '.gradle', // Gradle
-      '.make',
-      '.mk', // Make
-      '.cmake', // CMake
-      '.sbt', // SBT
-      '.rake', // Rake
-      '.spec', // RPM spec
-      '.pom',
+      '.bazel', // Bazel
       '.build', // Meson
-      '.bazel' // Bazel
+      '.pom'
     ]
   ],
   [
     'database',
     [
-      '.sql', // SQL
-      '.ddl',
       '.dml', // DDL/DML
-      '.plsql', // PL/SQL
-      '.psql', // PostgreSQL
-      '.cypher', // Cypher
-      '.sparql' // SPARQL
+      '.psql' // PostgreSQL
     ]
   ],
   [
     'web',
     [
-      '.graphql',
-      '.gql', // GraphQL
-      '.proto', // Protocol Buffers
-      '.thrift', // Thrift
-      '.wsdl', // WSDL
-      '.raml', // RAML
-      '.swagger',
-      '.openapi' // API文档
+      '.openapi', // API文档
+      '.swagger'
     ]
   ],
   [
     'version',
     [
-      '.gitignore', // Git ignore
-      '.gitattributes', // Git attributes
-      '.gitconfig', // Git config
-      '.hgignore', // Mercurial ignore
       '.bzrignore', // Bazaar ignore
-      '.svnignore', // SVN ignore
-      '.githistory' // Git history
+      '.gitattributes', // Git attributes
+      '.githistory', // Git history
+      '.hgignore', // Mercurial ignore
+      '.svnignore' // SVN ignore
     ]
   ],
   [
     'subtitle',
     [
-      '.srt',
-      '.sub',
-      '.ass' // 字幕格式
+      '.ass', // 字幕格式
+      '.sub'
     ]
   ],
   [
@@ -318,54 +134,26 @@ const textExtsByCategory = new Map([
   [
     'eda',
     [
-      '.v',
-      '.sv',
-      '.svh', // Verilog/SystemVerilog
-      '.vhd',
-      '.vhdl', // VHDL
-      '.lef',
+      '.cir',
       '.def', // LEF/DEF
       '.edif', // EDIF
-      '.sdf', // SDF
-      '.sdc',
-      '.xdc', // 约束文件
-      '.sp',
-      '.spi',
-      '.cir',
-      '.net', // SPICE
-      '.scs', // Spectre
-      '.asc', // LTspice
-      '.tf', // Technology File
       '.il',
-      '.ils' // SKILL
-    ]
-  ],
-  [
-    'game',
-    [
-      '.mtl', // Material Template Library
-      '.x3d', // X3D文件
-      '.gltf', // glTF JSON
-      '.prefab', // Unity预制体 (YAML格式)
-      '.meta' // Unity元数据文件 (YAML格式)
-    ]
-  ],
-  [
-    'other',
-    [
-      '.mcfunction', // Minecraft函数
-      '.jsp', // JSP
-      '.aspx', // ASP.NET
-      '.ipynb', // Jupyter Notebook
-      '.cake',
-      '.ctp', // CakePHP
-      '.cfm',
-      '.cfc' // ColdFusion
+      '.ils', // SKILL
+      '.lef',
+      '.net',
+      '.scs', // Spectre
+      '.sdf', // SDF
+      '.spi'
     ]
   ]
 ])
 
-export const textExts = Array.from(textExtsByCategory.values()).flat()
+/**
+ * A comprehensive list of all text-based file extensions, combining the
+ * extensive list from the linguist database with our custom additions.
+ * The Set ensures there are no duplicates.
+ */
+export const textExts = [...new Set([...Array.from(customTextExts.values()).flat(), ...codeLangExts])]
 
 export const ZOOM_LEVELS = [0.25, 0.33, 0.5, 0.67, 0.75, 0.8, 0.9, 1, 1.1, 1.25, 1.5, 1.75, 2, 2.5, 3, 4, 5]
 
@@ -406,8 +194,7 @@ export const defaultLanguage = 'en-US'
 
 export enum FeedUrl {
   PRODUCTION = 'https://releases.cherry-ai.com',
-  GITHUB_LATEST = 'https://github.com/CherryHQ/cherry-studio/releases/latest/download',
-  PRERELEASE_LOWEST = 'https://github.com/CherryHQ/cherry-studio/releases/download/v1.4.0'
+  GITHUB_LATEST = 'https://github.com/CherryHQ/cherry-studio/releases/latest/download'
 }
 
 export enum UpgradeChannel {

packages/shared/config/logger.ts

@@ -0,0 +1,32 @@
+export type LogSourceWithContext = {
+  process: 'main' | 'renderer'
+  window?: string // only for renderer process
+  module?: string
+  context?: Record<string, any>
+}
+
+type NullableObject = object | undefined | null
+
+export type LogContextData = [] | [Error | NullableObject] | [Error | NullableObject, ...NullableObject[]]
+
+export type LogLevel = 'error' | 'warn' | 'info' | 'debug' | 'verbose' | 'silly' | 'none'
+
+export const LEVEL = {
+  ERROR: 'error',
+  WARN: 'warn',
+  INFO: 'info',
+  DEBUG: 'debug',
+  VERBOSE: 'verbose',
+  SILLY: 'silly',
+  NONE: 'none'
+} satisfies Record<string, LogLevel>
+
+export const LEVEL_MAP: Record<LogLevel, number> = {
+  error: 10,
+  warn: 8,
+  info: 6,
+  debug: 4,
+  verbose: 2,
+  silly: 0,
+  none: -1
+}

plan.md

@@ -0,0 +1,136 @@
+# Agent Service Refactoring Plan
+
+## Objective
+
+The goal is to completely rewrite the agent execution flow for both backend (`src/main/services/agent/`) and frontend (`src/renderer/src/pages/cherry-agent/`). We will move from a model that can run any arbitrary shell command to a more secure and specialized model that **only** executes the `agent.py` script to process user prompts. This ensures that user input is always treated as data for the agent, not as a command to be executed by the shell.
+
+@agent.py is the agent script file
+@agent.log is an example output of the agent execute.
+
+## High-Level Plan
+
+The complete rewrite will involve these key areas:
+
+1.  **Introduce a dedicated `AgentExecutionService`:** This new service on the main process will be the single point of control for running the Python agent.
+2.  **Secure the Command Executor:** We will modify the existing `commandExecutor.ts` to prevent shell injection vulnerabilities by no longer using a shell to wrap the command.
+3.  **Update Session Management:** The database schema and logic will be updated to handle the `session_id` generated by `agent.py`, allowing for conversation continuity.
+4.  **Rewrite Frontend Components:** All UI components will be updated to work with the new prompt-based flow instead of command execution.
+5.  **Adapt IPC & Communication:** The communication between the renderer and the main process will be updated to pass prompts instead of raw commands.
+
+---
+
+## Detailed Implementation Steps
+
+### 1. Backend Refactoring (`src/main/services/agent`)
+
+#### A. Create `AgentExecutionService.ts`
+
+This new service will orchestrate the agent's execution.
+
+-   **File:** `src/main/services/agent/AgentExecutionService.ts`
+-   **Purpose:** To bridge the gap between incoming user prompts and the execution of the `agent.py` script.
+-   **Key Method:** `public async runAgent(sessionId: string, prompt: string): Promise<void>`
+    -   This method will use `AgentService` to fetch the session and its associated agent details (instructions, working directory, etc.).
+    -   It will determine the path to the `python` executable and the `agent.py` script. The path to `agent.py` should be a constant relative to the application root to prevent security issues.
+    -   It will construct the argument list for `agent.py` based on the fetched data:
+        -   `--prompt`: The user's input `prompt`.
+        -   `--system-prompt`: The agent's `instructions`.
+        -   `--cwd`: The session's `accessible_paths[0]`.
+        -   `--session-id`: The `claude_session_id` stored in our session record (more on this in step 3). If it's the first turn, this argument is omitted.
+    -   It will then call the refactored `pocCommandExecutor` to run the script.
+    -   It will be responsible for parsing the `stdout` of the script on the first run to capture the newly created `claude_session_id` and update the database.
+
+#### B. Refactor `commandExecutor.ts`
+
+To enhance security, we will change how commands are executed.
+
+-   **File:** `src/main/services/agent/commandExecutor.ts`
+-   **Change:** Modify `executeCommand` to avoid using a shell (`bash -c`, `cmd /c`).
+-   **New Signature (suggestion):** `executeCommand(id: string, executable: string, args: string[], workingDirectory: string)`
+-   **Implementation:**
+    -   The `spawn` function from `child_process` will be called directly with the executable and its arguments: `spawn(executable, args, { cwd: workingDirectory, ... })`.
+    -   This completely bypasses the shell, eliminating the risk of command injection from the arguments. The `getShellCommand` method will no longer be needed for this workflow.
+
+#### C. Update IPC Handling (`src/main/index.ts`)
+
+Communication from the frontend needs to be adapted.
+
+-   **Action:** Create a new, dedicated IPC channel, for example, `IpcChannel.Agent_Run`.
+-   **Payload:** This channel will accept a structured object: `{ sessionId: string, prompt: string }`.
+-   **Handler:** The main process handler for this channel will simply call `agentExecutionService.runAgent(sessionId, prompt)`. The existing `IpcChannel.Poc_CommandOutput` can be reused to stream the log output back to the UI.
+
+### 2. Database and Data Model Changes
+
+To manage the lifecycle of agent conversations, we need to track the session ID from `agent.py`.
+
+-   **File:** `src/main/services/agent/queries.ts`
+    -   **Action:** Add a new nullable field `claude_session_id TEXT` to the `sessions` table schema.
+
+-   **File:** `src/main/services/agent/types.ts`
+    -   **Action:** Add the optional `claude_session_id?: string` field to the `SessionEntity` and `SessionResponse` interfaces.
+
+-   **File:** `src/main/services/agent/AgentService.ts`
+    -   **Action:** Update the `createSession`, `updateSession`, and `getSessionById` methods to handle the new `claude_session_id` field.
+    -   Add a new method like `updateSessionClaudeId(sessionId: string, claudeSessionId: string)` to be called by the `AgentExecutionService`.
+
+### 3. Frontend Refactoring (`src/renderer`)
+
+Finally, we'll update the UI to send prompts instead of commands.
+
+-   **File:** `src/renderer/src/hooks/usePocCommand.ts` (to be renamed/refactored as `useAgentCommand.ts`)
+    -   **Action:** Complete rewrite of the command execution logic. Instead of sending a command string, it will now invoke the new IPC channel: `window.api.agent.run(sessionId, prompt)`.
+    -   **New Interface:** The hook will expose methods for prompt submission rather than command execution.
+
+-   **File:** `src/renderer/src/pages/cherry-agent/CherryAgentPage.tsx`
+    -   **Action:** Rewrite the main page component to work with prompt-based flow.
+    -   The text from the command input will now be treated as the `prompt`.
+    -   The function will call the refactored hook with the current session ID and the prompt: `agentCommandHook.run(agentManagement.currentSession.id, prompt)`.
+    -   The `workingDirectory` will no longer be passed from the frontend, as it's now part of the session data managed by the backend.
+
+-   **Component Updates:** All components in `src/renderer/src/pages/cherry-agent/components/` will need updates:
+    -   **`EnhancedCommandInput.tsx`:** Rename to `EnhancedPromptInput.tsx` and update to handle prompt submission instead of command execution.
+    -   **`PocMessageBubble.tsx` and `PocMessageList.tsx`:** Update to display prompt/response pairs instead of command/output pairs.
+    -   **Session management components:** Update to work with new session schema including `claude_session_id`.
+
+## New Data Flow
+
+The execution flow will be transformed as follows:
+
+-   **Before:**
+    `UI Input -> (command string) -> IPC -> ShellCommandExecutor -> Spawns Shell -> Executes Command`
+
+-   **After:**
+    `UI Input -> (prompt string) -> IPC({sessionId, prompt}) -> AgentExecutionService -> Constructs Args -> commandExecutor -> Spawns 'python' with args -> Executes agent.py`
+
+## Security & Error Handling Improvements
+
+### Security Enhancements
+- **Path validation**: Ensure `agent.py` path is validated and cannot be manipulated
+- **Argument sanitization**: Validate all arguments passed to `agent.py` to prevent injection
+- **No shell execution**: Direct process spawning eliminates shell injection vulnerabilities
+- **Resource limits**: Consider implementing timeout and resource constraints for agent processes
+
+### Error Handling & Recovery
+- **Agent script validation**: Verify `agent.py` exists and is accessible before execution
+- **Process monitoring**: Handle agent crashes, timeouts, and unexpected terminations
+- **Session recovery**: Graceful handling of orphaned sessions and Claude session mismatches
+- **Structured error responses**: Clear error messaging for different failure scenarios
+
+### Observability
+- **Structured logging**: Comprehensive logging throughout the agent execution pipeline
+- **Performance tracking**: Monitor agent execution times and resource usage
+- **Health checks**: Periodic validation of agent system functionality
+
+## Migration Strategy
+
+### Backward Compatibility
+- **Database migration**: Handle existing sessions without `claude_session_id`
+- **Component migration**: Gradual update of UI components to new prompt-based interface
+- **Testing strategy**: Comprehensive testing of both old and new flows during transition
+
+### Rollout Plan
+1. **Backend first**: Implement new `AgentExecutionService` with feature flag
+2. **Database schema**: Add `claude_session_id` field with migration
+3. **Frontend components**: Update components one by one
+4. **IPC integration**: Connect new frontend to new backend
+5. **Cleanup**: Remove old command execution code once migration is complete

resources/agents/claude_code_agent.py

@@ -0,0 +1,180 @@
+#!/usr/bin/env -S uv run --script
+# /// script
+# requires-python = "==3.10"
+# dependencies = [
+#     "claude-code-sdk",
+# ]
+# ///
+import argparse
+import asyncio
+import json
+import logging
+import os
+from datetime import datetime, timezone
+
+from claude_code_sdk import ClaudeCodeOptions, ClaudeSDKClient, Message
+from claude_code_sdk.types import (
+    SystemMessage,
+    UserMessage,
+    ResultMessage,
+    AssistantMessage,
+    TextBlock,
+    ToolUseBlock,
+    ToolResultBlock
+)
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+
+def log_structured_event(event_type: str, data: dict):
+    """Output structured log event as JSON to stdout for AgentExecutionService to parse."""
+    event = {
+        "__CHERRY_AGENT_LOG__": True,
+        "timestamp": datetime.now(timezone.utc) .isoformat(),
+        "event_type": event_type,
+        "data": data
+    }
+    print(json.dumps(event), flush=True)
+
+
+def display_message(msg: Message):
+    """Standardized message display function.
+
+    - UserMessage: "User: <content>"
+    - AssistantMessage: "Claude: <content>"
+    - SystemMessage: ignored
+    - ResultMessage: "Result ended" + cost if available
+    """
+    if isinstance(msg, UserMessage):
+        for block in msg.content:
+            if isinstance(block, TextBlock):
+                print(f"User: {block.text}")
+    elif isinstance(msg, AssistantMessage):
+        for block in msg.content:
+            if isinstance(block, TextBlock):
+                print(f"Claude: {block.text}")
+            elif isinstance(block, ToolUseBlock):
+                print(f"Tool: {block}")
+            elif isinstance(block, ToolResultBlock):
+                print(f"Tool Result: {block}")
+    elif isinstance(msg, SystemMessage):
+        print(f"--- Started session: {msg.data.get('session_id', 'unknown')} ---")
+        pass
+    elif isinstance(msg, ResultMessage):
+        cost_info = f" (${msg.total_cost_usd:.4f})" if msg.total_cost_usd else ""
+        print(f"--- Finished session: {msg.session_id}{cost_info} ---")
+        pass
+
+
+async def run_claude_query(prompt: str, opts: ClaudeCodeOptions = ClaudeCodeOptions()):
+    """Initializes the Claude SDK client and handles the query-response loop."""
+    try:
+        # Log session initialization
+        log_structured_event("session_init", {
+            "system_prompt": opts.system_prompt,
+            "max_turns": opts.max_turns,
+            "permission_mode": opts.permission_mode,
+            "cwd": str(opts.cwd) if opts.cwd else None
+        })
+
+        # Note: User query is already logged by AgentExecutionService, no need to duplicate
+
+        async with ClaudeSDKClient(opts) as client:
+            await client.query(prompt)
+            async for msg in client.receive_response():
+                # Log structured events for important message types
+                if isinstance(msg, SystemMessage):
+                    log_structured_event("session_started", {
+                        "session_id": msg.data.get('session_id')
+                    })
+                elif isinstance(msg, AssistantMessage):
+                    # Log Claude's response content
+                    text_content = []
+                    for block in msg.content:
+                        if isinstance(block, TextBlock):
+                            text_content.append(block.text)
+                    
+                    if text_content:
+                        log_structured_event("assistant_response", {
+                            "content": "\n".join(text_content)
+                        })
+                elif isinstance(msg, ResultMessage):
+                    log_structured_event("session_result", {
+                        "session_id": msg.session_id,
+                        "success": not msg.is_error,
+                        "duration_ms": msg.duration_ms,
+                        "num_turns": msg.num_turns,
+                        "total_cost_usd": msg.total_cost_usd,
+                        "usage": msg.usage
+                    })
+
+                display_message(msg)
+    except Exception as e:
+        log_structured_event("error", {
+            "error_type": type(e).__name__,
+            "error_message": str(e)
+        })
+        logger.error(f"An error occurred: {e}")
+
+
+async def main():
+    """Parses command-line arguments and runs the Claude query."""
+    parser = argparse.ArgumentParser(description="Claude Code SDK Example")
+    parser.add_argument(
+        "--prompt",
+        "-p",
+        required=True,
+        help="User prompt",
+    )
+    parser.add_argument(
+        "--cwd",
+        type=str,
+        default=os.path.join(os.getcwd(), "sessions"),
+        help="Working directory for the session. Defaults to './sessions'.",
+    )
+    parser.add_argument(
+        "--system-prompt",
+        type=str,
+        default="You are a helpful assistant.",
+        help="System prompt",
+    )
+    parser.add_argument(
+        "--permission-mode",
+        type=str,
+        default="default",
+        choices=["default", "acceptEdits", "bypassPermissions"],
+        help="Permission mode for file edits.",
+    )
+    parser.add_argument(
+        "--max-turns",
+        type=int,
+        default=10,
+        help="Maximum number of conversation turns.",
+    )
+    parser.add_argument(
+        "--session-id",
+        "-s",
+        default=None,
+        help="The session ID to resume an existing session.",
+    )
+    args = parser.parse_args()
+
+    # Ensure the working directory exists
+    os.makedirs(args.cwd, exist_ok=True)
+
+    opts = ClaudeCodeOptions(
+        system_prompt=args.system_prompt,
+        max_turns=args.max_turns,
+        permission_mode=args.permission_mode,
+        cwd=args.cwd,
+        # resume=args.session_id,
+        continue_conversation=True
+    )
+
+    await run_claude_query(args.prompt, opts)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

resources/model-catalogs/01-ai/yi-large.yaml

@@ -1,47 +0,0 @@
-id: 01-ai/yi-large
-canonical_slug: 01-ai/yi-large
-hugging_face_id: ''
-name: '01.AI: Yi Large'
-type: chat
-created: 1719273600
-description: |-
-  The Yi Large model was designed by 01.AI with the following usecases in mind: knowledge search, data classification, human-like chat bots, and customer service.
-
-  It stands out for its multilingual proficiency, particularly in Spanish, Chinese, Japanese, German, and French.
-
-  Check out the [launch announcement](https://01-ai.github.io/blog/01.ai-yi-large-llm-launch) to learn more.
-context_length: 32768
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Yi
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000003'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - top_k
-  - repetition_penalty
-  - response_format
-  - structured_outputs
-  - logit_bias
-  - logprobs
-  - top_logprobs
-model_provider: 01-ai

resources/model-catalogs/aetherwiing/mn-starcannon-12b.yaml

@@ -1,42 +0,0 @@
-id: aetherwiing/mn-starcannon-12b
-canonical_slug: aetherwiing/mn-starcannon-12b
-hugging_face_id: aetherwiing/MN-12B-Starcannon-v2
-name: 'Aetherwiing: Starcannon 12B'
-type: chat
-created: 1723507200
-description: |-
-  Starcannon 12B v2 is a creative roleplay and story writing model, based on Mistral Nemo, using [nothingiisreal/mn-celeste-12b](/nothingiisreal/mn-celeste-12b) as a base, with [intervitens/mini-magnum-12b-v1.1](https://huggingface.co/intervitens/mini-magnum-12b-v1.1) merged in using the [TIES](https://arxiv.org/abs/2306.01708) method.
-
-  Although more similar to Magnum overall, the model remains very creative, with a pleasant writing style. It is recommended for people wanting more variety than Magnum, and yet more verbose prose than Celeste.
-context_length: 16384
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Mistral
-  instruct_type: chatml
-pricing:
-  prompt: '0.0000008'
-  completion: '0.0000012'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - top_k
-  - min_p
-  - seed
-model_provider: aetherwiing

resources/model-catalogs/ai21/jamba-1.6-large.yaml

@@ -1,38 +0,0 @@
-id: ai21/jamba-1.6-large
-canonical_slug: ai21/jamba-1.6-large
-hugging_face_id: ai21labs/AI21-Jamba-Large-1.6
-name: 'AI21: Jamba 1.6 Large'
-type: chat
-created: 1741905173
-description: |-
-  AI21 Jamba Large 1.6 is a high-performance hybrid foundation model combining State Space Models (Mamba) with Transformer attention mechanisms. Developed by AI21, it excels in extremely long-context handling (256K tokens), demonstrates superior inference efficiency (up to 2.5x faster than comparable models), and supports structured JSON output and tool-use capabilities. It has 94 billion active parameters (398 billion total), optimized quantization support (ExpertsInt8), and multilingual proficiency in languages such as English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew.
-
-  Usage of this model is subject to the [Jamba Open Model License](https://www.ai21.com/licenses/jamba-open-model-license).
-context_length: 256000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.000002'
-  completion: '0.000008'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-model_provider: ai21

resources/model-catalogs/ai21/jamba-1.6-mini.yaml

@@ -1,38 +0,0 @@
-id: ai21/jamba-1.6-mini
-canonical_slug: ai21/jamba-1.6-mini
-hugging_face_id: ai21labs/AI21-Jamba-Mini-1.6
-name: 'AI21: Jamba Mini 1.6'
-type: chat
-created: 1741905171
-description: |-
-  AI21 Jamba Mini 1.6 is a hybrid foundation model combining State Space Models (Mamba) with Transformer attention mechanisms. With 12 billion active parameters (52 billion total), this model excels in extremely long-context tasks (up to 256K tokens) and achieves superior inference efficiency, outperforming comparable open models on tasks such as retrieval-augmented generation (RAG) and grounded question answering. Jamba Mini 1.6 supports multilingual tasks across English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic, and Hebrew, along with structured JSON output and tool-use capabilities.
-
-  Usage of this model is subject to the [Jamba Open Model License](https://www.ai21.com/licenses/jamba-open-model-license).
-context_length: 256000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.0000002'
-  completion: '0.0000004'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-model_provider: ai21

resources/model-catalogs/aion-labs/aion-1.0-mini.yaml

@@ -1,34 +0,0 @@
-id: aion-labs/aion-1.0-mini
-canonical_slug: aion-labs/aion-1.0-mini
-hugging_face_id: FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview
-name: 'AionLabs: Aion-1.0-Mini'
-type: chat
-created: 1738697107
-description: Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, coding, and logic. It is a modified variant of a FuseAI model that outperforms R1-Distill-Qwen-32B and R1-Distill-Llama-70B, with benchmark results available on its [Hugging Face page](https://huggingface.co/FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview), independently replicated for verification.
-context_length: 131072
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.0000007'
-  completion: '0.0000014'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - reasoning
-  - include_reasoning
-model_provider: aion-labs

resources/model-catalogs/aion-labs/aion-1.0.yaml

@@ -1,34 +0,0 @@
-id: aion-labs/aion-1.0
-canonical_slug: aion-labs/aion-1.0
-hugging_face_id: ''
-name: 'AionLabs: Aion-1.0'
-type: chat
-created: 1738697557
-description: Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of Experts (MoE). It is Aion Lab's most powerful reasoning model.
-context_length: 131072
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.000004'
-  completion: '0.000008'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - reasoning
-  - include_reasoning
-model_provider: aion-labs

resources/model-catalogs/aion-labs/aion-rp-llama-3.1-8b.yaml

@@ -1,32 +0,0 @@
-id: aion-labs/aion-rp-llama-3.1-8b
-canonical_slug: aion-labs/aion-rp-llama-3.1-8b
-hugging_face_id: ''
-name: 'AionLabs: Aion-RP 1.0 (8B)'
-type: chat
-created: 1738696718
-description: Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate each other’s responses. It is a fine-tuned base model rather than an instruct model, designed to produce more natural and varied writing.
-context_length: 32768
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.0000002'
-  completion: '0.0000002'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-model_provider: aion-labs

resources/model-catalogs/alfredpros/codellama-7b-instruct-solidity.yaml

@@ -1,39 +0,0 @@
-id: alfredpros/codellama-7b-instruct-solidity
-canonical_slug: alfredpros/codellama-7b-instruct-solidity
-hugging_face_id: AlfredPros/CodeLlama-7b-Instruct-Solidity
-name: 'AlfredPros: CodeLLaMa 7B Instruct Solidity'
-type: chat
-created: 1744641874
-description: A finetuned 7 billion parameters Code LLaMA - Instruct model to generate Solidity smart contract using 4-bit QLoRA finetuning provided by PEFT library.
-context_length: 4096
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: alpaca
-pricing:
-  prompt: '0.0000008'
-  completion: '0.0000012'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - top_k
-  - min_p
-  - seed
-model_provider: alfredpros

resources/model-catalogs/all-hands/openhands-lm-32b-v0.1.yaml

@@ -1,44 +0,0 @@
-id: all-hands/openhands-lm-32b-v0.1
-canonical_slug: all-hands/openhands-lm-32b-v0.1
-hugging_face_id: all-hands/openhands-lm-32b-v0.1
-name: OpenHands LM 32B V0.1
-type: chat
-created: 1743613013
-description: |-
-  OpenHands LM v0.1 is a 32B open-source coding model fine-tuned from Qwen2.5-Coder-32B-Instruct using reinforcement learning techniques outlined in SWE-Gym. It is optimized for autonomous software development agents and achieves strong performance on SWE-Bench Verified, with a 37.2% resolve rate. The model supports a 128K token context window, making it well-suited for long-horizon code reasoning and large codebase tasks.
-
-  OpenHands LM is designed for local deployment and runs on consumer-grade GPUs such as a single 3090. It enables fully offline agent workflows without dependency on proprietary APIs. This release is intended as a research preview, and future updates aim to improve generalizability, reduce repetition, and offer smaller variants.
-context_length: 16384
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Other
-  instruct_type: null
-pricing:
-  prompt: '0.0000026'
-  completion: '0.0000034'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - top_k
-  - min_p
-  - seed
-model_provider: all-hands

resources/model-catalogs/alpindale/goliath-120b.yaml

@@ -1,48 +0,0 @@
-id: alpindale/goliath-120b
-canonical_slug: alpindale/goliath-120b
-hugging_face_id: alpindale/goliath-120b
-name: Goliath 120B
-type: chat
-created: 1699574400
-description: |-
-  A large LLM created by combining two fine-tuned Llama 70B models into one 120B model. Combines Xwin and Euryale.
-
-  Credits to
-  - [@chargoddard](https://huggingface.co/chargoddard) for developing the framework used to merge the model - [mergekit](https://github.com/cg123/mergekit).
-  - [@Undi95](https://huggingface.co/Undi95) for helping with the merge ratios.
-
-  #merge
-context_length: 6144
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Llama2
-  instruct_type: airoboros
-pricing:
-  prompt: '0.00001'
-  completion: '0.0000125'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - logit_bias
-  - top_k
-  - min_p
-  - seed
-  - top_a
-model_provider: alpindale

resources/model-catalogs/alpindale/magnum-72b.yaml

@@ -1,42 +0,0 @@
-id: alpindale/magnum-72b
-canonical_slug: alpindale/magnum-72b
-hugging_face_id: alpindale/magnum-72b-v1
-name: Magnum 72B
-type: chat
-created: 1720656000
-description: |-
-  From the maker of [Goliath](https://openrouter.ai/models/alpindale/goliath-120b), Magnum 72B is the first in a new family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet.
-
-  The model is based on [Qwen2 72B](https://openrouter.ai/models/qwen/qwen-2-72b-instruct) and trained with 55 million tokens of highly curated roleplay (RP) data.
-context_length: 16384
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Qwen
-  instruct_type: chatml
-pricing:
-  prompt: '0.000004'
-  completion: '0.000006'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - top_k
-  - min_p
-  - seed
-model_provider: alpindale

resources/model-catalogs/amazon/nova-lite-v1.yaml

@@ -1,39 +0,0 @@
-id: amazon/nova-lite-v1
-canonical_slug: amazon/nova-lite-v1
-hugging_face_id: ''
-name: 'Amazon: Nova Lite 1.0'
-type: chat
-created: 1733437363
-description: |-
-  Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy.
-
-  With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.
-context_length: 300000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Nova
-  instruct_type: null
-pricing:
-  prompt: '0.00000006'
-  completion: '0.00000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0.00009'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: amazon

resources/model-catalogs/amazon/nova-micro-v1.yaml

@@ -1,35 +0,0 @@
-id: amazon/nova-micro-v1
-canonical_slug: amazon/nova-micro-v1
-hugging_face_id: ''
-name: 'Amazon: Nova Micro 1.0'
-type: chat
-created: 1733437237
-description: Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has  simple mathematical reasoning and coding abilities.
-context_length: 128000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Nova
-  instruct_type: null
-pricing:
-  prompt: '0.000000035'
-  completion: '0.00000014'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: amazon

resources/model-catalogs/amazon/nova-pro-v1.yaml

@@ -1,41 +0,0 @@
-id: amazon/nova-pro-v1
-canonical_slug: amazon/nova-pro-v1
-hugging_face_id: ''
-name: 'Amazon: Nova Pro 1.0'
-type: chat
-created: 1733436303
-description: |-
-  Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX).
-
-  Amazon Nova Pro demonstrates strong capabilities in processing both visual and textual information and at analyzing financial documents.
-
-  **NOTE**: Video input is not supported at this time.
-context_length: 300000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Nova
-  instruct_type: null
-pricing:
-  prompt: '0.0000008'
-  completion: '0.0000032'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0.0012'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: amazon

resources/model-catalogs/anthracite-org/magnum-v2-72b.yaml

@@ -1,43 +0,0 @@
-id: anthracite-org/magnum-v2-72b
-canonical_slug: anthracite-org/magnum-v2-72b
-hugging_face_id: anthracite-org/magnum-v2-72b
-name: Magnum v2 72B
-type: chat
-created: 1727654400
-description: |-
-  From the maker of [Goliath](https://openrouter.ai/models/alpindale/goliath-120b), Magnum 72B is the seventh in a family of models designed to achieve the prose quality of the Claude 3 models, notably Opus & Sonnet.
-
-  The model is based on [Qwen2 72B](https://openrouter.ai/models/qwen/qwen-2-72b-instruct) and trained with 55 million tokens of highly curated roleplay (RP) data.
-context_length: 32768
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Qwen
-  instruct_type: chatml
-pricing:
-  prompt: '0.000003'
-  completion: '0.000003'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - logit_bias
-  - top_k
-  - min_p
-  - seed
-model_provider: anthracite-org

resources/model-catalogs/anthracite-org/magnum-v4-72b.yaml

@@ -1,44 +0,0 @@
-id: anthracite-org/magnum-v4-72b
-canonical_slug: anthracite-org/magnum-v4-72b
-hugging_face_id: anthracite-org/magnum-v4-72b
-name: Magnum v4 72B
-type: chat
-created: 1729555200
-description: |-
-  This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus).
-
-  The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
-context_length: 16384
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Qwen
-  instruct_type: chatml
-pricing:
-  prompt: '0.0000025'
-  completion: '0.000003'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - stop
-  - frequency_penalty
-  - presence_penalty
-  - repetition_penalty
-  - top_k
-  - min_p
-  - seed
-  - logit_bias
-  - top_a
-model_provider: anthracite-org

resources/model-catalogs/anthropic/claude-2-beta.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2:beta
-canonical_slug: anthropic/claude-2
-hugging_face_id: ''
-name: 'Anthropic: Claude v2 (self-moderated)'
-type: chat
-created: 1700611200
-description: 'Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.'
-context_length: 200000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-2.0-beta.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2.0:beta
-canonical_slug: anthropic/claude-2.0
-hugging_face_id: ''
-name: 'Anthropic: Claude v2.0 (self-moderated)'
-type: chat
-created: 1690502400
-description: Anthropic's flagship model. Superior performance on tasks that require complex reasoning. Supports hundreds of pages of text.
-context_length: 100000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-2.0.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2.0
-canonical_slug: anthropic/claude-2.0
-hugging_face_id: ''
-name: 'Anthropic: Claude v2.0'
-type: chat
-created: 1690502400
-description: Anthropic's flagship model. Superior performance on tasks that require complex reasoning. Supports hundreds of pages of text.
-context_length: 100000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-2.1-beta.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2.1:beta
-canonical_slug: anthropic/claude-2.1
-hugging_face_id: ''
-name: 'Anthropic: Claude v2.1 (self-moderated)'
-type: chat
-created: 1700611200
-description: 'Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.'
-context_length: 200000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-2.1.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2.1
-canonical_slug: anthropic/claude-2.1
-hugging_face_id: ''
-name: 'Anthropic: Claude v2.1'
-type: chat
-created: 1700611200
-description: 'Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.'
-context_length: 200000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-2.yaml

@@ -1,34 +0,0 @@
-id: anthropic/claude-2
-canonical_slug: anthropic/claude-2
-hugging_face_id: ''
-name: 'Anthropic: Claude v2'
-type: chat
-created: 1700611200
-description: 'Claude 2 delivers advancements in key capabilities for enterprises—including an industry-leading 200K token context window, significant reductions in rates of model hallucination, system prompts and a new beta feature: tool use.'
-context_length: 200000
-architecture:
-  modality: text->text
-  input_modalities:
-    - text
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000008'
-  completion: '0.000024'
-  input_cache_read: ''
-  input_cache_write: ''
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-haiku-beta.yaml

@@ -1,43 +0,0 @@
-id: anthropic/claude-3-haiku:beta
-canonical_slug: anthropic/claude-3-haiku
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Haiku (self-moderated)'
-type: chat
-created: 1710288000
-description: |-
-  Claude 3 Haiku is Anthropic's fastest and most compact model for
-  near-instant responsiveness. Quick and accurate targeted performance.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.00000025'
-  completion: '0.00000125'
-  input_cache_read: '0.00000003'
-  input_cache_write: '0.0000003'
-  request: '0'
-  image: '0.0004'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-haiku.yaml

@@ -1,43 +0,0 @@
-id: anthropic/claude-3-haiku
-canonical_slug: anthropic/claude-3-haiku
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Haiku'
-type: chat
-created: 1710288000
-description: |-
-  Claude 3 Haiku is Anthropic's fastest and most compact model for
-  near-instant responsiveness. Quick and accurate targeted performance.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.00000025'
-  completion: '0.00000125'
-  input_cache_read: '0.00000003'
-  input_cache_write: '0.0000003'
-  request: '0'
-  image: '0.0004'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-opus-beta.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3-opus:beta
-canonical_slug: anthropic/claude-3-opus
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Opus (self-moderated)'
-type: chat
-created: 1709596800
-description: |-
-  Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000015'
-  completion: '0.000075'
-  input_cache_read: '0.0000015'
-  input_cache_write: '0.00001875'
-  request: '0'
-  image: '0.024'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-opus.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3-opus
-canonical_slug: anthropic/claude-3-opus
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Opus'
-type: chat
-created: 1709596800
-description: |-
-  Claude 3 Opus is Anthropic's most powerful model for highly complex tasks. It boasts top-level performance, intelligence, fluency, and understanding.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000015'
-  completion: '0.000075'
-  input_cache_read: '0.0000015'
-  input_cache_write: '0.00001875'
-  request: '0'
-  image: '0.024'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-sonnet-beta.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3-sonnet:beta
-canonical_slug: anthropic/claude-3-sonnet
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Sonnet (self-moderated)'
-type: chat
-created: 1709596800
-description: |-
-  Claude 3 Sonnet is an ideal balance of intelligence and speed for enterprise workloads. Maximum utility at a lower price, dependable, balanced for scaled deployments.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3-sonnet.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3-sonnet
-canonical_slug: anthropic/claude-3-sonnet
-hugging_face_id: ''
-name: 'Anthropic: Claude 3 Sonnet'
-type: chat
-created: 1709596800
-description: |-
-  Claude 3 Sonnet is an ideal balance of intelligence and speed for enterprise workloads. Maximum utility at a lower price, dependable, balanced for scaled deployments.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-family)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-haiku-20241022-beta.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3.5-haiku-20241022:beta
-canonical_slug: anthropic/claude-3-5-haiku-20241022
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Haiku (2024-10-22) (self-moderated)'
-type: chat
-created: 1730678400
-description: |-
-  Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries.
-
-  It does not support image inputs.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.0000008'
-  completion: '0.000004'
-  input_cache_read: '0.00000008'
-  input_cache_write: '0.000001'
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-haiku-20241022.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3.5-haiku-20241022
-canonical_slug: anthropic/claude-3-5-haiku-20241022
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Haiku (2024-10-22)'
-type: chat
-created: 1730678400
-description: |-
-  Claude 3.5 Haiku features enhancements across all skill sets including coding, tool use, and reasoning. As the fastest model in the Anthropic lineup, it offers rapid response times suitable for applications that require high interactivity and low latency, such as user-facing chatbots and on-the-fly code completions. It also excels in specialized tasks like data extraction and real-time content moderation, making it a versatile tool for a broad range of industries.
-
-  It does not support image inputs.
-
-  See the launch announcement and benchmark results [here](https://www.anthropic.com/news/3-5-models-and-computer-use)
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.0000008'
-  completion: '0.000004'
-  input_cache_read: '0.00000008'
-  input_cache_write: '0.000001'
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-haiku-beta.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3.5-haiku:beta
-canonical_slug: anthropic/claude-3-5-haiku
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Haiku (self-moderated)'
-type: chat
-created: 1730678400
-description: |-
-  Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.
-
-  This makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.
-
-  This model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.0000008'
-  completion: '0.000004'
-  input_cache_read: '0.00000008'
-  input_cache_write: '0.000001'
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-haiku.yaml

@@ -1,42 +0,0 @@
-id: anthropic/claude-3.5-haiku
-canonical_slug: anthropic/claude-3-5-haiku
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Haiku'
-type: chat
-created: 1730678400
-description: |-
-  Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic tasks such as chat interactions and immediate coding suggestions.
-
-  This makes it highly suitable for environments that demand both speed and precision, such as software development, customer service bots, and data management systems.
-
-  This model is currently pointing to [Claude 3.5 Haiku (2024-10-22)](/anthropic/claude-3-5-haiku-20241022).
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.0000008'
-  completion: '0.000004'
-  input_cache_read: '0.00000008'
-  input_cache_write: '0.000001'
-  request: '0'
-  image: '0'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-sonnet-20240620-beta.yaml

@@ -1,47 +0,0 @@
-id: anthropic/claude-3.5-sonnet-20240620:beta
-canonical_slug: anthropic/claude-3.5-sonnet-20240620
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Sonnet (2024-06-20) (self-moderated)'
-type: chat
-created: 1718841600
-description: |-
-  Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:
-
-  - Coding: Autonomously writes, edits, and runs code with reasoning and troubleshooting
-  - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights
-  - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone
-  - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)
-
-  For the latest version (2024-10-23), check out [Claude 3.5 Sonnet](/anthropic/claude-3.5-sonnet).
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-sonnet-20240620.yaml

@@ -1,47 +0,0 @@
-id: anthropic/claude-3.5-sonnet-20240620
-canonical_slug: anthropic/claude-3.5-sonnet-20240620
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Sonnet (2024-06-20)'
-type: chat
-created: 1718841600
-description: |-
-  Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:
-
-  - Coding: Autonomously writes, edits, and runs code with reasoning and troubleshooting
-  - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights
-  - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone
-  - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)
-
-  For the latest version (2024-10-23), check out [Claude 3.5 Sonnet](/anthropic/claude-3.5-sonnet).
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-sonnet-beta.yaml

@@ -1,45 +0,0 @@
-id: anthropic/claude-3.5-sonnet:beta
-canonical_slug: anthropic/claude-3.5-sonnet
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Sonnet (self-moderated)'
-type: chat
-created: 1729555200
-description: |-
-  New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:
-
-  - Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding
-  - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights
-  - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone
-  - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.5-sonnet.yaml

@@ -1,45 +0,0 @@
-id: anthropic/claude-3.5-sonnet
-canonical_slug: anthropic/claude-3.5-sonnet
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.5 Sonnet'
-type: chat
-created: 1729555200
-description: |-
-  New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at:
-
-  - Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding
-  - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights
-  - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone
-  - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems)
-
-  #multimodal
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - tools
-  - tool_choice
-  - max_tokens
-  - temperature
-  - top_p
-  - top_k
-  - stop
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.7-sonnet-beta.yaml

@@ -1,37 +0,0 @@
-id: anthropic/claude-3.7-sonnet:beta
-canonical_slug: anthropic/claude-3-7-sonnet-20250219
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.7 Sonnet (self-moderated)'
-type: chat
-created: 1740422110
-description: "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)"
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - stop
-  - reasoning
-  - include_reasoning
-  - tools
-  - tool_choice
-model_provider: anthropic

resources/model-catalogs/anthropic/claude-3.7-sonnet-thinking.yaml

@@ -1,37 +0,0 @@
-id: anthropic/claude-3.7-sonnet:thinking
-canonical_slug: anthropic/claude-3-7-sonnet-20250219
-hugging_face_id: ''
-name: 'Anthropic: Claude 3.7 Sonnet (thinking)'
-type: chat
-created: 1740422110
-description: "Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. \n\nClaude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-3-7-sonnet)"
-context_length: 200000
-architecture:
-  modality: text+image->text
-  input_modalities:
-    - text
-    - image
-  output_modalities:
-    - text
-  tokenizer: Claude
-  instruct_type: null
-pricing:
-  prompt: '0.000003'
-  completion: '0.000015'
-  input_cache_read: '0.0000003'
-  input_cache_write: '0.00000375'
-  request: '0'
-  image: '0.0048'
-  web_search: '0'
-  internal_reasoning: '0'
-  unit: 1
-  currency: USD
-supported_parameters:
-  - max_tokens
-  - temperature
-  - stop
-  - reasoning
-  - include_reasoning
-  - tools
-  - tool_choice
-model_provider: anthropic