feat: refactor web search to provider-specific tools with advanced parameters

- Add ExaSearchTool and TavilySearchTool with provider-specific parameters
- Extend type system for Exa (neural search, date filters) and Tavily (AI answers, search depth)
- Update all providers to support ProviderSpecificParams interface
- Add searchResultAdapters for unified citation conversion
- Remove rawContent from LLM output and storage to reduce token usage
- Support favicon, highlights, answer, images metadata
- Update UI components to handle new tool names
- Preserve existing RAG compression and token cutoff capabilities

Breaking changes: None (backward compatible with existing providers)

.github/workflows/auto-i18n.yml

@@ -2,8 +2,8 @@ name: Auto I18N
 
 env:
   API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
-  MODEL: ${{ vars.MODEL || 'deepseek/deepseek-v3.1'}}
-  BASE_URL: ${{ vars.BASE_URL || 'https://api.ppinfra.com/openai'}}
+  MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
+  BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
 
 on:
   pull_request:
@@ -26,7 +26,7 @@ jobs:
           ref: ${{ github.event.pull_request.head.ref }}
 
       - name: 📦 Setting Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 

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

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

.github/workflows/claude-translator.yml

@@ -29,7 +29,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 

.github/workflows/claude.yml

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

.github/workflows/delete-branch.yml

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

.github/workflows/nightly-build.yml

@@ -56,7 +56,7 @@ jobs:
           ref: main
 
       - name: Install Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 
@@ -99,9 +99,9 @@ jobs:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Mac
         if: matrix.os == 'macos-latest'
@@ -110,15 +110,15 @@ jobs:
         env:
           CSC_LINK: ${{ secrets.CSC_LINK }}
           CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
-          APPLE_ID: ${{ vars.APPLE_ID }}
-          APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
-          APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
+          APPLE_ID: ${{ secrets.APPLE_ID }}
+          APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
+          APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Windows
         if: matrix.os == 'windows-latest'
@@ -128,9 +128,9 @@ jobs:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Rename artifacts with nightly format
         shell: bash

.github/workflows/pr-ci.yml

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

.github/workflows/release.yml

@@ -47,7 +47,7 @@ jobs:
           npm version "$VERSION" --no-git-tag-version --allow-same-version
 
       - name: Install Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v5
         with:
           node-version: 20
 
@@ -86,9 +86,9 @@ jobs:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Mac
         if: matrix.os == 'macos-latest'
@@ -98,15 +98,15 @@ jobs:
         env:
           CSC_LINK: ${{ secrets.CSC_LINK }}
           CSC_KEY_PASSWORD: ${{ secrets.CSC_KEY_PASSWORD }}
-          APPLE_ID: ${{ vars.APPLE_ID }}
-          APPLE_APP_SPECIFIC_PASSWORD: ${{ vars.APPLE_APP_SPECIFIC_PASSWORD }}
-          APPLE_TEAM_ID: ${{ vars.APPLE_TEAM_ID }}
+          APPLE_ID: ${{ secrets.APPLE_ID }}
+          APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }}
+          APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }}
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Build Windows
         if: matrix.os == 'windows-latest'
@@ -116,9 +116,9 @@ jobs:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           NODE_OPTIONS: --max-old-space-size=8192
           MAIN_VITE_CHERRYAI_CLIENT_SECRET: ${{ secrets.MAIN_VITE_CHERRYAI_CLIENT_SECRET }}
-          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 }}
+          MAIN_VITE_MINERU_API_KEY: ${{ secrets.MAIN_VITE_MINERU_API_KEY }}
+          RENDERER_VITE_AIHUBMIX_SECRET: ${{ secrets.RENDERER_VITE_AIHUBMIX_SECRET }}
+          RENDERER_VITE_PPIO_APP_SECRET: ${{ secrets.RENDERER_VITE_PPIO_APP_SECRET }}
 
       - name: Release
         uses: ncipollo/release-action@v1

.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch

@@ -1,5 +1,5 @@
 diff --git a/dist/index.mjs b/dist/index.mjs
-index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..3ea0fadd783f334db71266e45babdcce11076974 100644
+index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..17e109b7778cbebb904f1919e768d21a2833d965 100644
 --- a/dist/index.mjs
 +++ b/dist/index.mjs
 @@ -448,7 +448,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
@@ -7,7 +7,7 @@ index 110f37ec18c98b1d55ae2b73cc716194e6f9094d..3ea0fadd783f334db71266e45babdcce
  // src/get-model-path.ts
  function getModelPath(modelId) {
 -  return modelId.includes("/") ? modelId : `models/${modelId}`;
-+  return `models/${modelId}`;
++  return modelId?.includes("models/") ? modelId : `models/${modelId}`;
  }
  
  // src/google-generative-ai-options.ts

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

@@ -0,0 +1,31 @@
+diff --git a/sdk.mjs b/sdk.mjs
+index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b478c738dd8 100644
+--- a/sdk.mjs
++++ b/sdk.mjs
+@@ -6215,7 +6215,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
+ }
+
+ // ../src/transport/ProcessTransport.ts
+-import { spawn } from "child_process";
++import { fork } from "child_process";
+ import { createInterface } from "readline";
+
+ // ../src/utils/fsOperations.ts
+@@ -6473,14 +6473,11 @@ class ProcessTransport {
+         const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
+         throw new ReferenceError(errorMessage);
+       }
+-      const isNative = isNativeBinary(pathToClaudeCodeExecutable);
+-      const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
+-      const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
+-      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
++      this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
+       const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
+-      this.child = spawn(spawnCommand, spawnArgs, {
++      this.child = fork(pathToClaudeCodeExecutable, args, {
+         cwd,
+-        stdio: ["pipe", "pipe", stderrMode],
++        stdio: stderrMode === "pipe" ? ["pipe", "pipe", "pipe", "ipc"] : ["pipe", "pipe", "ignore", "ipc"],
+         signal: this.abortController.signal,
+         env
+       });

.yarn/patches/@anthropic-ai-claude-code-npm-1.0.118-bbf4e9e59f.patch

@@ -1,31 +0,0 @@
-diff --git a/sdk.mjs b/sdk.mjs
-index e2dbafb4e2faa1bf2b6b02f0009a2b9bbf57c757..ea333ae8c69fcd27a9f2d89b3dbfc0a3e4e4dec4 100755
---- a/sdk.mjs
-+++ b/sdk.mjs
-@@ -6213,7 +6213,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
- }
- 
- // src/transport/ProcessTransport.ts
--import { spawn } from "child_process";
-+import { fork } from "child_process";
- import { createInterface } from "readline";
- 
- // src/utils/fsOperations.ts
-@@ -6452,13 +6452,12 @@ class ProcessTransport {
-         throw new ReferenceError(errorMessage);
-       }
-       const isNative = isNativeBinary(pathToClaudeCodeExecutable);
--      const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
--      const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
--      this.logDebug(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
-       const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
--      this.child = spawn(spawnCommand, spawnArgs, {
-+
-+      this.logDebug(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
-+      this.child = fork(pathToClaudeCodeExecutable, args, {
-         cwd,
--        stdio: ["pipe", "pipe", stderrMode],
-+        stdio: stderrMode === "pipe" ? ["pipe", "pipe", "pipe", "ipc"] : ["pipe", "pipe", "ignore", "ipc"],
-         signal: this.abortController.signal,
-         env
-       });

CLAUDE.md

@@ -2,22 +2,16 @@
 
 This file provides guidance to AI coding assistants when working with code in this repository. Adherence to these guidelines is crucial for maintaining code quality and consistency.
 
-## Guiding Principles
+## Guiding Principles (MUST FOLLOW)
 
-- **Clarity and Simplicity**: Write code that is easy to understand and maintain.
-- **Consistency**: Follow existing patterns and conventions in the codebase.
-- **Correctness**: Ensure code is correct, well-tested, and robust.
-- **Efficiency**: Write performant code and use resources judiciously.
-
-## MUST Follow Rules
-
-1.  **Code Search**: Use `ast-grep` for semantic code pattern searches when available. Fallback to `rg` (ripgrep) or `grep` for text-based searches.
-2.  **UI Framework**: Exclusively use **HeroUI** for all new UI components. The use of `antd` or `styled-components` is strictly **PROHIBITED**.
-3.  **Quality Assurance**: **Always** run `yarn build:check` before finalizing your work or making any commits. This ensures code quality (linting, testing, and type checking).
-4.  **Centralized Logging**: Use the `loggerService` exclusively for all application logging (info, warn, error levels) with proper context. Do not use `console.log`.
-5.  **External Research**: Leverage `subagent` for gathering external information, including latest documentation, API references, news, or web-based research. This keeps the main conversation focused on the task at hand.
-6.  **Code Reviews**: Always seek a code review from a human developer before merging significant changes. This ensures adherence to project standards and catches potential issues.
-7.  **Documentation**: Update or create documentation for any new features, modules, or significant changes to existing functionality.
+- **Keep it clear**: Write code that is easy to read, maintain, and explain.
+- **Match the house style**: Reuse existing patterns, naming, and conventions.
+- **Search smart**: Prefer `ast-grep` for semantic queries; fall back to `rg`/`grep` when needed.
+- **Build with HeroUI**: Use HeroUI for every new UI component; never add `antd` or `styled-components`.
+- **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
+- **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
+- **Seek review**: Ask a human developer to review substantial changes before merging.
+- **Commit in rhythm**: Keep commits small, conventional, and emoji-tagged.
 
 ## Development Commands
 

electron-builder.yml

@@ -125,59 +125,21 @@ afterSign: scripts/notarize.js
 artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
-    <!--LANG:en-->
-    🚀 New Features:
-    - Refactored AI core engine for more efficient and stable content generation
-    - Added support for multiple AI model providers: CherryIN, AiOnly
-    - Added API server functionality for external application integration
-    - Added PaddleOCR document recognition for enhanced document processing
-    - Added Anthropic OAuth authentication support
-    - Added data storage space limit notifications
-    - Added font settings for global and code fonts customization
-    - Added auto-copy feature after translation completion
-    - Added keyboard shortcuts: rename topic, edit last message, etc.
-    - Added text attachment preview for viewing file contents in messages
-    - Added custom window control buttons (minimize, maximize, close)
-    - Support for Qwen long-text (qwen-long) and document analysis (qwen-doc) models with native file uploads
-    - Support for Qwen image recognition models (Qwen-Image)
-    - Added iFlow CLI support
-    - Converted knowledge base and web search to tool-calling approach for better flexibility
+    What's New in v1.6.3
 
-    🎨 UI Improvements & Bug Fixes:
-    - Integrated HeroUI and Tailwind CSS framework
-    - Optimized message notification styles with unified toast component
-    - Moved free models to bottom with fixed position for easier access
-    - Refactored quick panel and input bar tools for smoother operation
-    - Optimized responsive design for navbar and sidebar
-    - Improved scrollbar component with horizontal scrolling support
-    - Fixed multiple translation issues: paste handling, file processing, state management
-    - Various UI optimizations and bug fixes
-    <!--LANG:zh-CN-->
-    🚀 新功能：
-    - 重构 AI 核心引擎，提供更高效稳定的内容生成
-    - 新增多个 AI 模型提供商支持：CherryIN、AiOnly
-    - 新增 API 服务器功能，支持外部应用集成
-    - 新增 PaddleOCR 文档识别，增强文档处理能力
-    - 新增 Anthropic OAuth 认证支持
-    - 新增数据存储空间限制提醒
-    - 新增字体设置，支持全局字体和代码字体自定义
-    - 新增翻译完成后自动复制功能
-    - 新增键盘快捷键：重命名主题、编辑最后一条消息等
-    - 新增文本附件预览，可查看消息中的文件内容
-    - 新增自定义窗口控制按钮（最小化、最大化、关闭）
-    - 支持通义千问长文本（qwen-long）和文档分析（qwen-doc）模型，原生文件上传
-    - 支持通义千问图像识别模型（Qwen-Image）
-    - 新增 iFlow CLI 支持
-    - 知识库和网页搜索转换为工具调用方式，提升灵活性
+    Features:
+    - Notes: Add spell-check control, automatic table line wrapping, export functionality, and LLM-based renaming
+    - UI: Expand topic rename clickable area, add middle-click tab closing, remove redundant scrollbars, fix message menubar overflow
+    - Editor: Add read-only extension support, make TextFilePreview read-only but copyable
+    - Models: Update support for DeepSeek v3.2, Claude 4.5, GLM 4.6, Gemini regex, and vision models
+    - Code Tools: Add GitHub Copilot CLI integration
 
-    🎨 界面改进与问题修复：
-    - 集成 HeroUI 和 Tailwind CSS 框架
-    - 优化消息通知样式，统一 toast 组件
-    - 免费模型移至底部固定位置，便于访问
-    - 重构快捷面板和输入栏工具，操作更流畅
-    - 优化导航栏和侧边栏响应式设计
-    - 改进滚动条组件，支持水平滚动
-    - 修复多个翻译问题：粘贴处理、文件处理、状态管理
-    - 各种界面优化和问题修复
-    <!--LANG:END-->
+    Bug Fixes:
+    - Fix migration for missing providers
+    - Fix forked topic retaining old name after rename
+    - Restore first token latency reporting in metrics
+    - Fix UI scrollbar and overflow issues
 
+    Technical Updates:
+    - Upgrade to Electron 37.6.0
+    - Update dependencies across packages

electron.vite.config.ts

@@ -34,6 +34,10 @@ export default defineConfig({
         output: {
           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
+        },
+        onwarn(warning, warn) {
+          if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
+          warn(warning)
         }
       },
       sourcemap: isDev
@@ -112,6 +116,10 @@ export default defineConfig({
           selectionToolbar: resolve(__dirname, 'src/renderer/selectionToolbar.html'),
           selectionAction: resolve(__dirname, 'src/renderer/selectionAction.html'),
           traceWindow: resolve(__dirname, 'src/renderer/traceWindow.html')
+        },
+        onwarn(warning, warn) {
+          if (warning.code === 'COMMONJS_VARIABLE_IN_ESM') return
+          warn(warning)
         }
       }
     },

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.7.0-alpha.2",
+  "version": "1.7.0-alpha.5",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -78,7 +78,7 @@
     "release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core npm publish --access public"
   },
   "dependencies": {
-    "@anthropic-ai/claude-code": "patch:@anthropic-ai/claude-code@npm%3A1.0.118#~/.yarn/patches/@anthropic-ai-claude-code-npm-1.0.118-bbf4e9e59f.patch",
+    "@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.1#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch",
     "@libsql/client": "0.14.0",
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
@@ -99,10 +99,10 @@
     "@agentic/exa": "^7.3.3",
     "@agentic/searxng": "^7.3.3",
     "@agentic/tavily": "^7.3.3",
-    "@ai-sdk/amazon-bedrock": "^3.0.21",
-    "@ai-sdk/google-vertex": "^3.0.27",
-    "@ai-sdk/mistral": "^2.0.14",
-    "@ai-sdk/perplexity": "^2.0.9",
+    "@ai-sdk/amazon-bedrock": "^3.0.29",
+    "@ai-sdk/google-vertex": "^3.0.33",
+    "@ai-sdk/mistral": "^2.0.17",
+    "@ai-sdk/perplexity": "^2.0.11",
     "@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",
@@ -219,7 +219,7 @@
     "@viz-js/lang-dot": "^1.0.5",
     "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.44",
+    "ai": "^5.0.59",
     "antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
     "archiver": "^7.0.1",
     "async-mutex": "^0.5.0",
@@ -244,7 +244,7 @@
     "dotenv-cli": "^7.4.2",
     "drizzle-kit": "^0.31.4",
     "drizzle-orm": "^0.44.5",
-    "electron": "37.4.0",
+    "electron": "37.6.0",
     "electron-builder": "26.0.15",
     "electron-devtools-installer": "^3.2.0",
     "electron-reload": "^2.0.0-alpha.1",

packages/aiCore/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@cherrystudio/ai-core",
-  "version": "1.0.0-alpha.18",
+  "version": "1.0.1",
   "description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
   "main": "dist/index.js",
   "module": "dist/index.mjs",
@@ -36,14 +36,14 @@
     "ai": "^5.0.26"
   },
   "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.17",
-    "@ai-sdk/azure": "^2.0.30",
-    "@ai-sdk/deepseek": "^1.0.17",
-    "@ai-sdk/openai": "^2.0.30",
-    "@ai-sdk/openai-compatible": "^1.0.17",
+    "@ai-sdk/anthropic": "^2.0.22",
+    "@ai-sdk/azure": "^2.0.42",
+    "@ai-sdk/deepseek": "^1.0.20",
+    "@ai-sdk/openai": "^2.0.42",
+    "@ai-sdk/openai-compatible": "^1.0.19",
     "@ai-sdk/provider": "^2.0.0",
-    "@ai-sdk/provider-utils": "^3.0.9",
-    "@ai-sdk/xai": "^2.0.18",
+    "@ai-sdk/provider-utils": "^3.0.10",
+    "@ai-sdk/xai": "^2.0.23",
     "zod": "^4.1.5"
   },
   "devDependencies": {

packages/aiCore/src/core/plugins/built-in/toolUsePlugin/promptToolUsePlugin.ts

@@ -261,22 +261,39 @@ export const createPromptToolUsePlugin = (config: PromptToolUseConfig = {}) => {
         return params
       }
 
-      context.mcpTools = params.tools
+      // 分离 provider-defined 和其他类型的工具
+      const providerDefinedTools: ToolSet = {}
+      const promptTools: ToolSet = {}
 
-      // 构建系统提示符
+      for (const [toolName, tool] of Object.entries(params.tools as ToolSet)) {
+        if (tool.type === 'provider-defined') {
+          // provider-defined 类型的工具保留在 tools 参数中
+          providerDefinedTools[toolName] = tool
+        } else {
+          // 其他工具转换为 prompt 模式
+          promptTools[toolName] = tool
+        }
+      }
+
+      // 只有当有非 provider-defined 工具时才保存到 context
+      if (Object.keys(promptTools).length > 0) {
+        context.mcpTools = promptTools
+      }
+
+      // 构建系统提示符（只包含非 provider-defined 工具）
       const userSystemPrompt = typeof params.system === 'string' ? params.system : ''
-      const systemPrompt = buildSystemPrompt(userSystemPrompt, params.tools)
+      const systemPrompt = buildSystemPrompt(userSystemPrompt, promptTools)
       let systemMessage: string | null = systemPrompt
       if (config.createSystemMessage) {
         // 🎯 如果用户提供了自定义处理函数，使用它
         systemMessage = config.createSystemMessage(systemPrompt, params, context)
       }
 
-      // 移除 tools，改为 prompt 模式
+      // 保留 provider-defined tools，移除其他 tools
       const transformedParams = {
         ...params,
         ...(systemMessage ? { system: systemMessage } : {}),
-        tools: undefined
+        tools: Object.keys(providerDefinedTools).length > 0 ? providerDefinedTools : undefined
       }
       context.originalParams = transformedParams
       return transformedParams
@@ -285,8 +302,9 @@ export const createPromptToolUsePlugin = (config: PromptToolUseConfig = {}) => {
       let textBuffer = ''
       // let stepId = ''
 
+      // 如果没有需要 prompt 模式处理的工具，直接返回原始流
       if (!context.mcpTools) {
-        throw new Error('No tools available')
+        return new TransformStream()
       }
 
       // 从 context 中获取或初始化 usage 累加器

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

@@ -1,6 +1,7 @@
 import { anthropic } from '@ai-sdk/anthropic'
 import { google } from '@ai-sdk/google'
 import { openai } from '@ai-sdk/openai'
+import { InferToolInput, InferToolOutput } from 'ai'
 
 import { ProviderOptionsMap } from '../../../options/types'
 import { OpenRouterSearchConfig } from './openrouter'
@@ -58,24 +59,31 @@ export const DEFAULT_WEB_SEARCH_CONFIG: WebSearchPluginConfig = {
 
 export type WebSearchToolOutputSchema = {
   // Anthropic 工具 - 手动定义
-  anthropicWebSearch: Array<{
-    url: string
-    title: string
-    pageAge: string | null
-    encryptedContent: string
-    type: string
-  }>
+  anthropic: InferToolOutput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
 
   // OpenAI 工具 - 基于实际输出
-  openaiWebSearch: {
+  // TODO: 上游定义不规范,是unknown
+  // openai: InferToolOutput<ReturnType<typeof openai.tools.webSearch>>
+  openai: {
+    status: 'completed' | 'failed'
+  }
+  'openai-chat': {
     status: 'completed' | 'failed'
   }
-
   // Google 工具
-  googleSearch: {
+  // TODO: 上游定义不规范,是unknown
+  // google: InferToolOutput<ReturnType<typeof google.tools.googleSearch>>
+  google: {
     webSearchQueries?: string[]
     groundingChunks?: Array<{
       web?: { uri: string; title: string }
     }>
   }
 }
+
+export type WebSearchToolInputSchema = {
+  anthropic: InferToolInput<ReturnType<typeof anthropic.tools.webSearch_20250305>>
+  openai: InferToolInput<ReturnType<typeof openai.tools.webSearch>>
+  google: InferToolInput<ReturnType<typeof google.tools.googleSearch>>
+  'openai-chat': InferToolInput<ReturnType<typeof openai.tools.webSearchPreview>>
+}

packages/shared/IpcChannel.ts

@@ -34,6 +34,7 @@ export enum IpcChannel {
   App_GetBinaryPath = 'app:get-binary-path',
   App_InstallUvBinary = 'app:install-uv-binary',
   App_InstallBunBinary = 'app:install-bun-binary',
+  App_InstallOvmsBinary = 'app:install-ovms-binary',
   App_LogToMain = 'app:log-to-main',
   App_SaveData = 'app:save-data',
   App_GetDiskInfo = 'app:get-disk-info',
@@ -187,6 +188,7 @@ export enum IpcChannel {
   File_ValidateNotesDirectory = 'file:validateNotesDirectory',
   File_StartWatcher = 'file:startWatcher',
   File_StopWatcher = 'file:stopWatcher',
+  File_ShowInFolder = 'file:showInFolder',
 
   // file service
   FileService_Upload = 'file-service:upload',
@@ -224,6 +226,7 @@ export enum IpcChannel {
   // system
   System_GetDeviceType = 'system:getDeviceType',
   System_GetHostname = 'system:getHostname',
+  System_GetCpuName = 'system:getCpuName',
 
   // DevTools
   System_ToggleDevTools = 'system:toggleDevTools',
@@ -334,6 +337,15 @@ export enum IpcChannel {
   // OCR
   OCR_ocr = 'ocr:ocr',
 
+  // OVMS
+  Ovms_AddModel = 'ovms:add-model',
+  Ovms_StopAddModel = 'ovms:stop-addmodel',
+  Ovms_GetModels = 'ovms:get-models',
+  Ovms_IsRunning = 'ovms:is-running',
+  Ovms_GetStatus = 'ovms:get-status',
+  Ovms_RunOVMS = 'ovms:run-ovms',
+  Ovms_StopOVMS = 'ovms:stop-ovms',
+
   // CherryAI
   Cherryai_GetSignature = 'cherryai:get-signature'
 }

packages/shared/agents/claudecode/types.ts

@@ -1,4 +1,4 @@
-import type { SDKMessage } from '@anthropic-ai/claude-code'
+import type { SDKMessage } from '@anthropic-ai/claude-agent-sdk'
 import type { ContentBlockParam } from '@anthropic-ai/sdk/resources/messages'
 
 export type ClaudeCodeRawValue =

packages/shared/anthropic/index.ts

@@ -12,8 +12,19 @@ import Anthropic from '@anthropic-ai/sdk'
 import { TextBlockParam } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
 import { Provider } from '@types'
+import type { ModelMessage } from 'ai'
+
 const logger = loggerService.withContext('anthropic-sdk')
 
+const defaultClaudeCodeSystemPrompt = `You are Claude Code, Anthropic's official CLI for Claude.`
+
+const defaultClaudeCodeSystem: Array<TextBlockParam> = [
+  {
+    type: 'text',
+    text: defaultClaudeCodeSystemPrompt
+  }
+]
+
 /**
  * Creates and configures an Anthropic SDK client based on the provider configuration.
  *
@@ -44,7 +55,11 @@ const logger = loggerService.withContext('anthropic-sdk')
  * const apiKeyClient = getSdkClient(apiKeyProvider);
  * ```
  */
-export function getSdkClient(provider: Provider, oauthToken?: string | null): Anthropic {
+export function getSdkClient(
+  provider: Provider,
+  oauthToken?: string | null,
+  extraHeaders?: Record<string, string | string[]>
+): Anthropic {
   if (provider.authType === 'oauth') {
     if (!oauthToken) {
       throw new Error('OAuth token is not available')
@@ -68,7 +83,8 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
         'x-stainless-os': 'MacOS',
         'x-stainless-arch': 'arm64',
         'x-stainless-runtime': 'node',
-        'x-stainless-runtime-version': 'v22.18.0'
+        'x-stainless-runtime-version': 'v22.18.0',
+        ...extraHeaders
       }
     })
   }
@@ -77,7 +93,22 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
       ? provider.apiHost
       : (provider.anthropicApiHost && provider.anthropicApiHost.trim()) || provider.apiHost
 
-  logger.debug('Anthropic API baseURL', { baseURL })
+  logger.debug('Anthropic API baseURL', { baseURL, providerId: provider.id })
+
+  if (provider.id === 'aihubmix') {
+    return new Anthropic({
+      apiKey: provider.apiKey,
+      baseURL,
+      dangerouslyAllowBrowser: true,
+      defaultHeaders: {
+        'anthropic-beta': 'output-128k-2025-02-19',
+        'APP-Code': 'MLTG2087',
+        ...provider.extra_headers,
+        ...extraHeaders
+      }
+    })
+  }
+
   return new Anthropic({
     apiKey: provider.apiKey,
     authToken: provider.apiKey,
@@ -104,53 +135,36 @@ export function getSdkClient(provider: Provider, oauthToken?: string | null): An
  * @param system - Optional user-provided system message (string or TextBlockParam array)
  * @returns Combined system message with Claude Code prompt prepended
  *
- * @example
- * ```typescript
- * // No system message
- * const result1 = buildClaudeCodeSystemMessage();
- * // Returns: "You are Claude Code, Anthropic's official CLI for Claude."
- *
- * // String system message
- * const result2 = buildClaudeCodeSystemMessage("You are a helpful assistant.");
- * // Returns: [
- * //   { type: 'text', text: "You are Claude Code, Anthropic's official CLI for Claude." },
- * //   { type: 'text', text: "You are a helpful assistant." }
- * // ]
- *
- * // Array system message
- * const systemArray = [{ type: 'text', text: 'Custom instructions' }];
- * const result3 = buildClaudeCodeSystemMessage(systemArray);
- * // Returns: Array with Claude Code message prepended
  * ```
  */
-export function buildClaudeCodeSystemMessage(system?: string | Array<TextBlockParam>): string | Array<TextBlockParam> {
-  const defaultClaudeCodeSystem = `You are Claude Code, Anthropic's official CLI for Claude.`
+export function buildClaudeCodeSystemMessage(system?: string | Array<TextBlockParam>): Array<TextBlockParam> {
   if (!system) {
     return defaultClaudeCodeSystem
   }
 
   if (typeof system === 'string') {
-    if (system.trim() === defaultClaudeCodeSystem) {
-      return system
+    if (system.trim() === defaultClaudeCodeSystemPrompt || system.trim() === '') {
+      return defaultClaudeCodeSystem
+    } else {
+      return [...defaultClaudeCodeSystem, { type: 'text', text: system }]
+    }
+  }
+  if (Array.isArray(system)) {
+    const firstSystem = system[0]
+    if (firstSystem.type === 'text' && firstSystem.text.trim() === defaultClaudeCodeSystemPrompt) {
+      return system
+    } else {
+      return [...defaultClaudeCodeSystem, ...system]
     }
-    return [
-      {
-        type: 'text',
-        text: defaultClaudeCodeSystem
-      },
-      {
-        type: 'text',
-        text: system
-      }
-    ]
   }
 
-  if (system[0].text.trim() != defaultClaudeCodeSystem) {
-    system.unshift({
-      type: 'text',
-      text: defaultClaudeCodeSystem
-    })
-  }
-
-  return system
+  return defaultClaudeCodeSystem
+}
+
+export function buildClaudeCodeSystemModelMessage(system?: string | Array<TextBlockParam>): Array<ModelMessage> {
+  const textBlocks = buildClaudeCodeSystemMessage(system)
+  return textBlocks.map((block) => ({
+    role: 'system',
+    content: block.text
+  }))
 }

packages/shared/config/constant.ts

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

resources/scripts/download.js

@@ -1,5 +1,7 @@
 const https = require('https')
 const fs = require('fs')
+const path = require('path')
+const { execSync } = require('child_process')
 
 /**
  * Downloads a file from a URL with redirect handling
@@ -32,4 +34,39 @@ async function downloadWithRedirects(url, destinationPath) {
   })
 }
 
-module.exports = { downloadWithRedirects }
+/**
+ * Downloads a file using PowerShell Invoke-WebRequest command
+ * @param {string} url The URL to download from
+ * @param {string} destinationPath The path to save the file to
+ * @returns {Promise<boolean>} Promise that resolves to true if download succeeds
+ */
+async function downloadWithPowerShell(url, destinationPath) {
+  return new Promise((resolve, reject) => {
+    try {
+      // Only support windows platform for PowerShell download
+      if (process.platform !== 'win32') {
+        return reject(new Error('PowerShell download is only supported on Windows'))
+      }
+
+      const outputDir = path.dirname(destinationPath)
+      fs.mkdirSync(outputDir, { recursive: true })
+
+      // PowerShell command to download the file with progress disabled for faster download
+      const psCommand = `powershell -Command "$ProgressPreference = 'SilentlyContinue'; Invoke-WebRequest '${url}' -OutFile '${destinationPath}'"`
+
+      console.log(`Downloading with PowerShell: ${url}`)
+      execSync(psCommand, { stdio: 'inherit' })
+
+      if (fs.existsSync(destinationPath)) {
+        console.log(`Download completed: ${destinationPath}`)
+        resolve(true)
+      } else {
+        reject(new Error('Download failed: File not found after download'))
+      }
+    } catch (error) {
+      reject(new Error(`PowerShell download failed: ${error.message}`))
+    }
+  })
+}
+
+module.exports = { downloadWithRedirects, downloadWithPowerShell }

resources/scripts/install-ovms.js

@@ -0,0 +1,177 @@
+const fs = require('fs')
+const path = require('path')
+const os = require('os')
+const { execSync } = require('child_process')
+const { downloadWithPowerShell } = require('./download')
+
+// Base URL for downloading OVMS binaries
+const OVMS_PKG_NAME = 'ovms250911.zip'
+const OVMS_RELEASE_BASE_URL = [`https://gitcode.com/gcw_ggDjjkY3/kjfile/releases/download/download/${OVMS_PKG_NAME}`]
+
+/**
+ * Downloads and extracts the OVMS binary for the specified platform
+ */
+async function downloadOvmsBinary() {
+  // Create output directory structure - OVMS goes into its own subdirectory
+  const csDir = path.join(os.homedir(), '.cherrystudio')
+
+  // Ensure directories exist
+  fs.mkdirSync(csDir, { recursive: true })
+
+  const csOvmsDir = path.join(csDir, 'ovms')
+  // Delete existing OVMS directory if it exists
+  if (fs.existsSync(csOvmsDir)) {
+    fs.rmSync(csOvmsDir, { recursive: true })
+  }
+
+  const tempdir = os.tmpdir()
+  const tempFilename = path.join(tempdir, 'ovms.zip')
+
+  // Try each URL until one succeeds
+  let downloadSuccess = false
+  let lastError = null
+
+  for (let i = 0; i < OVMS_RELEASE_BASE_URL.length; i++) {
+    const downloadUrl = OVMS_RELEASE_BASE_URL[i]
+    console.log(`Attempting download from URL ${i + 1}/${OVMS_RELEASE_BASE_URL.length}: ${downloadUrl}`)
+
+    try {
+      console.log(`Downloading OVMS from ${downloadUrl} to ${tempFilename}...`)
+
+      // Try PowerShell download first, fallback to Node.js download if it fails
+      await downloadWithPowerShell(downloadUrl, tempFilename)
+
+      // If we get here, download was successful
+      downloadSuccess = true
+      console.log(`Successfully downloaded from: ${downloadUrl}`)
+      break
+    } catch (error) {
+      console.warn(`Download failed from ${downloadUrl}: ${error.message}`)
+      lastError = error
+
+      // Clean up failed download file if it exists
+      if (fs.existsSync(tempFilename)) {
+        try {
+          fs.unlinkSync(tempFilename)
+        } catch (cleanupError) {
+          console.warn(`Failed to clean up temporary file: ${cleanupError.message}`)
+        }
+      }
+
+      // Continue to next URL if this one failed
+      if (i < OVMS_RELEASE_BASE_URL.length - 1) {
+        console.log(`Trying next URL...`)
+      }
+    }
+  }
+
+  // Check if any download succeeded
+  if (!downloadSuccess) {
+    console.error(`All download URLs failed. Last error: ${lastError?.message || 'Unknown error'}`)
+    return 103
+  }
+
+  try {
+    console.log(`Extracting to ${csDir}...`)
+
+    // Use tar.exe to extract the ZIP file
+    console.log(`Extracting OVMS to ${csDir}...`)
+    execSync(`tar -xf ${tempFilename} -C ${csDir}`, { stdio: 'inherit' })
+    console.log(`OVMS extracted to ${csDir}`)
+
+    // Clean up temporary file
+    fs.unlinkSync(tempFilename)
+    console.log(`Installation directory: ${csDir}`)
+  } catch (error) {
+    console.error(`Error installing OVMS: ${error.message}`)
+    if (fs.existsSync(tempFilename)) {
+      fs.unlinkSync(tempFilename)
+    }
+
+    // Check if ovmsDir is empty and remove it if so
+    try {
+      const ovmsDir = path.join(csDir, 'ovms')
+      const files = fs.readdirSync(ovmsDir)
+      if (files.length === 0) {
+        fs.rmSync(ovmsDir, { recursive: true })
+        console.log(`Removed empty directory: ${ovmsDir}`)
+      }
+    } catch (cleanupError) {
+      console.warn(`Warning: Failed to clean up directory: ${cleanupError.message}`)
+      return 105
+    }
+
+    return 104
+  }
+
+  return 0
+}
+
+/**
+ * Get the CPU Name and ID
+ */
+function getCpuInfo() {
+  const cpuInfo = {
+    name: '',
+    id: ''
+  }
+
+  // Use PowerShell to get CPU information
+  try {
+    const psCommand = `powershell -Command "Get-CimInstance -ClassName Win32_Processor | Select-Object Name, DeviceID | ConvertTo-Json"`
+    const psOutput = execSync(psCommand).toString()
+    const cpuData = JSON.parse(psOutput)
+
+    if (Array.isArray(cpuData)) {
+      cpuInfo.name = cpuData[0].Name || ''
+      cpuInfo.id = cpuData[0].DeviceID || ''
+    } else {
+      cpuInfo.name = cpuData.Name || ''
+      cpuInfo.id = cpuData.DeviceID || ''
+    }
+  } catch (error) {
+    console.error(`Failed to get CPU info: ${error.message}`)
+  }
+
+  return cpuInfo
+}
+
+/**
+ * Main function to install OVMS
+ */
+async function installOvms() {
+  const platform = os.platform()
+  console.log(`Detected platform: ${platform}`)
+
+  const cpuName = getCpuInfo().name
+  console.log(`CPU Name: ${cpuName}`)
+
+  // Check if CPU name contains "Ultra"
+  if (!cpuName.toLowerCase().includes('intel') || !cpuName.toLowerCase().includes('ultra')) {
+    console.error('OVMS installation requires an Intel(R) Core(TM) Ultra CPU.')
+    return 101
+  }
+
+  // only support windows
+  if (platform !== 'win32') {
+    console.error('OVMS installation is only supported on Windows.')
+    return 102
+  }
+
+  return await downloadOvmsBinary()
+}
+
+// Run the installation
+installOvms()
+  .then((retcode) => {
+    if (retcode === 0) {
+      console.log('OVMS installation successful')
+    } else {
+      console.error('OVMS installation failed')
+    }
+    process.exit(retcode)
+  })
+  .catch((error) => {
+    console.error('OVMS installation failed:', error)
+    process.exit(100)
+  })

scripts/before-pack.js

@@ -35,7 +35,7 @@ const allX64 = {
   '@napi-rs/system-ocr-win32-x64-msvc': '1.0.2'
 }
 
-const claudeCodeVenderPath = '@anthropic-ai/claude-code/vendor'
+const claudeCodeVenderPath = '@anthropic-ai/claude-agent-sdk/vendor'
 const claudeCodeVenders = ['arm64-darwin', 'arm64-linux', 'x64-darwin', 'x64-linux', 'x64-win32']
 
 const platformToArch = {
@@ -88,7 +88,7 @@ exports.default = async function (context) {
   const excludeClaudeCodeJBPlutins = ['!node_modules/' + claudeCodeVenderPath + '/' + 'claude-code-jetbrains-plugin']
 
   const includeClaudeCodeFilters = [
-    '!node_modules/' + claudeCodeVenderPath + '/' + `${archType}-${platformToArch[platform]}/**`
+    '!node_modules/' + claudeCodeVenderPath + '/ripgrep/' + `${archType}-${platformToArch[platform]}/**`
   ]
 
   if (arch === Arch.arm64) {

src/main/apiServer/app.ts

@@ -3,6 +3,7 @@ import cors from 'cors'
 import express from 'express'
 import { v4 as uuidv4 } from 'uuid'
 
+import { LONG_POLL_TIMEOUT_MS } from './config/timeouts'
 import { authMiddleware } from './middleware/auth'
 import { errorHandler } from './middleware/error'
 import { setupOpenAPIDocumentation } from './middleware/openapi'
@@ -14,7 +15,6 @@ import { modelsRoutes } from './routes/models'
 
 const logger = loggerService.withContext('ApiServer')
 
-const LONG_POLL_TIMEOUT_MS = 120 * 60_000 // 120 minutes
 const extendMessagesTimeout: express.RequestHandler = (req, res, next) => {
   req.setTimeout(LONG_POLL_TIMEOUT_MS)
   res.setTimeout(LONG_POLL_TIMEOUT_MS)

src/main/apiServer/config/timeouts.ts

@@ -0,0 +1,3 @@
+export const LONG_POLL_TIMEOUT_MS = 120 * 60_000 // 120 minutes
+
+export const MESSAGE_STREAM_TIMEOUT_MS = LONG_POLL_TIMEOUT_MS

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

@@ -1,8 +1,9 @@
 import { loggerService } from '@logger'
+import { MESSAGE_STREAM_TIMEOUT_MS } from '@main/apiServer/config/timeouts'
+import { createStreamAbortController, STREAM_TIMEOUT_REASON } from '@main/apiServer/utils/createStreamAbortController'
+import { agentService, sessionMessageService, sessionService } from '@main/services/agents'
 import { Request, Response } from 'express'
 
-import { agentService, sessionMessageService, sessionService } from '../../../../services/agents'
-
 const logger = loggerService.withContext('ApiServerMessagesHandlers')
 
 // Helper function to verify agent and session exist and belong together
@@ -25,6 +26,8 @@ const verifyAgentAndSession = async (agentId: string, sessionId: string) => {
 }
 
 export const createMessage = async (req: Request, res: Response): Promise<void> => {
+  let clearAbortTimeout: (() => void) | undefined
+
   try {
     const { agentId, sessionId } = req.params
 
@@ -42,7 +45,14 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
     res.setHeader('Access-Control-Allow-Origin', '*')
     res.setHeader('Access-Control-Allow-Headers', 'Cache-Control')
 
-    const abortController = new AbortController()
+    const {
+      abortController,
+      registerAbortHandler,
+      clearAbortTimeout: helperClearAbortTimeout
+    } = createStreamAbortController({
+      timeoutMs: MESSAGE_STREAM_TIMEOUT_MS
+    })
+    clearAbortTimeout = helperClearAbortTimeout
     const { stream, completion } = await sessionMessageService.createSessionMessage(
       session,
       messageData,
@@ -54,6 +64,10 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
     let responseEnded = false
     let streamFinished = false
 
+    const cleanupAbortTimeout = () => {
+      clearAbortTimeout?.()
+    }
+
     const finalizeResponse = () => {
       if (responseEnded) {
         return
@@ -64,6 +78,7 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
       }
 
       responseEnded = true
+      cleanupAbortTimeout()
       try {
         // res.write('data: {"type":"finish"}\n\n')
         res.write('data: [DONE]\n\n')
@@ -92,12 +107,51 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
      * - Clean up event listeners to prevent memory leaks
      * - Mark the response as ended to prevent further writes
      */
-    const handleDisconnect = () => {
+    registerAbortHandler((abortReason) => {
+      cleanupAbortTimeout()
+
       if (responseEnded) return
-      logger.info('Streaming client disconnected', { agentId, sessionId })
+
       responseEnded = true
+
+      if (abortReason === STREAM_TIMEOUT_REASON) {
+        logger.error('Streaming message timeout', { agentId, sessionId })
+        try {
+          res.write(
+            `data: ${JSON.stringify({
+              type: 'error',
+              error: {
+                message: 'Stream timeout',
+                type: 'timeout_error',
+                code: 'stream_timeout'
+              }
+            })}\n\n`
+          )
+        } catch (writeError) {
+          logger.error('Error writing timeout to SSE stream', { error: writeError })
+        }
+      } else if (abortReason === 'Client disconnected') {
+        logger.info('Streaming client disconnected', { agentId, sessionId })
+      } else {
+        logger.warn('Streaming aborted', { agentId, sessionId, reason: abortReason })
+      }
+
+      reader.cancel(abortReason ?? 'stream aborted').catch(() => {})
+
+      if (!res.headersSent) {
+        res.setHeader('Content-Type', 'text/event-stream')
+        res.setHeader('Cache-Control', 'no-cache')
+        res.setHeader('Connection', 'keep-alive')
+      }
+
+      if (!res.writableEnded) {
+        res.end()
+      }
+    })
+
+    const handleDisconnect = () => {
+      if (abortController.signal.aborted) return
       abortController.abort('Client disconnected')
-      reader.cancel('Client disconnected').catch(() => {})
     }
 
     req.on('close', handleDisconnect)
@@ -135,6 +189,7 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
           logger.error('Error writing stream error to SSE', { error: writeError })
         }
         responseEnded = true
+        cleanupAbortTimeout()
         res.end()
       }
     }
@@ -166,41 +221,14 @@ export const createMessage = async (req: Request, res: Response): Promise<void>
           logger.error('Error writing completion error to SSE stream', { error: writeError })
         }
         responseEnded = true
+        cleanupAbortTimeout()
         res.end()
       })
-
-    // Set a timeout to prevent hanging indefinitely
-    const timeout = setTimeout(
-      () => {
-        if (!responseEnded) {
-          logger.error('Streaming message timeout', { agentId, sessionId })
-          try {
-            res.write(
-              `data: ${JSON.stringify({
-                type: 'error',
-                error: {
-                  message: 'Stream timeout',
-                  type: 'timeout_error',
-                  code: 'stream_timeout'
-                }
-              })}\n\n`
-            )
-          } catch (writeError) {
-            logger.error('Error writing timeout to SSE stream', { error: writeError })
-          }
-          abortController.abort('stream timeout')
-          reader.cancel('stream timeout').catch(() => {})
-          responseEnded = true
-          res.end()
-        }
-      },
-      10 * 60 * 1000
-    ) // 10 minutes timeout
-
     // Clear timeout when response ends
-    res.on('close', () => clearTimeout(timeout))
-    res.on('finish', () => clearTimeout(timeout))
+    res.on('close', cleanupAbortTimeout)
+    res.on('finish', cleanupAbortTimeout)
   } catch (error: any) {
+    clearAbortTimeout?.()
     logger.error('Error in streaming message handler', {
       error,
       agentId: req.params.agentId,

src/main/apiServer/routes/messages.ts

@@ -1,9 +1,9 @@
 import { MessageCreateParams } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
+import { Provider } from '@types'
 import express, { Request, Response } from 'express'
 
-import { Provider } from '../../../renderer/src/types/provider'
-import { MessagesService, messagesService } from '../services/messages'
+import { messagesService } from '../services/messages'
 import { getProviderById, validateModelId } from '../utils'
 
 const logger = loggerService.withContext('ApiServerMessagesRoutes')
@@ -11,7 +11,7 @@ const logger = loggerService.withContext('ApiServerMessagesRoutes')
 const router = express.Router()
 const providerRouter = express.Router({ mergeParams: true })
 
-// Helper functions for shared logic
+// Helper function for basic request validation
 async function validateRequestBody(req: Request): Promise<{ valid: boolean; error?: any }> {
   const request: MessageCreateParams = req.body
 
@@ -31,147 +31,53 @@ async function validateRequestBody(req: Request): Promise<{ valid: boolean; erro
   return { valid: true }
 }
 
-async function handleStreamingResponse(
-  res: Response,
-  request: MessageCreateParams,
-  provider: Provider,
-  messagesService: MessagesService
-): Promise<void> {
-  res.setHeader('Content-Type', 'text/event-stream; charset=utf-8')
-  res.setHeader('Cache-Control', 'no-cache, no-transform')
-  res.setHeader('Connection', 'keep-alive')
-  res.setHeader('X-Accel-Buffering', 'no')
-  res.flushHeaders()
-  const flushableResponse = res as Response & { flush?: () => void }
-  const flushStream = () => {
-    if (typeof flushableResponse.flush !== 'function') {
-      return
-    }
-    try {
-      flushableResponse.flush()
-    } catch (flushError: unknown) {
-      logger.warn('Failed to flush streaming response', {
-        error: flushError
-      })
-    }
-  }
-
-  try {
-    for await (const chunk of messagesService.processStreamingMessage(request, provider)) {
-      res.write(`event: ${chunk.type}\n`)
-      res.write(`data: ${JSON.stringify(chunk)}\n\n`)
-      flushStream()
-    }
-    res.write('data: [DONE]\n\n')
-    flushStream()
-  } catch (streamError: any) {
-    logger.error('Stream error', { error: streamError })
-    res.write(
-      `data: ${JSON.stringify({
-        type: 'error',
-        error: {
-          type: 'api_error',
-          message: 'Stream processing error'
-        }
-      })}\n\n`
-    )
-  } finally {
-    res.end()
-  }
-}
-
-function handleErrorResponse(res: Response, error: any): Response {
-  logger.error('Message processing error', { error })
-
-  let statusCode = 500
-  let errorType = 'api_error'
-  let errorMessage = 'Internal server error'
-
-  const anthropicStatus = typeof error?.status === 'number' ? error.status : undefined
-  const anthropicError = error?.error
-
-  if (anthropicStatus) {
-    statusCode = anthropicStatus
-  }
-
-  if (anthropicError?.type) {
-    errorType = anthropicError.type
-  }
-
-  if (anthropicError?.message) {
-    errorMessage = anthropicError.message
-  } else if (error instanceof Error && error.message) {
-    errorMessage = error.message
-  }
-
-  if (!anthropicStatus && error instanceof Error) {
-    if (error.message.includes('API key') || error.message.includes('authentication')) {
-      statusCode = 401
-      errorType = 'authentication_error'
-    } else if (error.message.includes('rate limit') || error.message.includes('quota')) {
-      statusCode = 429
-      errorType = 'rate_limit_error'
-    } else if (error.message.includes('timeout') || error.message.includes('connection')) {
-      statusCode = 502
-      errorType = 'api_error'
-    } else if (error.message.includes('validation') || error.message.includes('invalid')) {
-      statusCode = 400
-      errorType = 'invalid_request_error'
-    }
-  }
-
-  return res.status(statusCode).json({
-    type: 'error',
-    error: {
-      type: errorType,
-      message: errorMessage,
-      requestId: error?.request_id
-    }
-  })
-}
-
-async function processMessageRequest(
-  req: Request,
-  res: Response,
-  provider: Provider,
+interface HandleMessageProcessingOptions {
+  req: Request
+  res: Response
+  provider: Provider
+  request: MessageCreateParams
   modelId?: string
-): Promise<Response | void> {
+}
+
+async function handleMessageProcessing({
+  req,
+  res,
+  provider,
+  request,
+  modelId
+}: HandleMessageProcessingOptions): Promise<void> {
   try {
-    const request: MessageCreateParams = req.body
-
-    // Use provided modelId or keep original model
-    if (modelId) {
-      request.model = modelId
-    }
-
-    // Validate request
     const validation = messagesService.validateRequest(request)
     if (!validation.isValid) {
-      return res.status(400).json({
+      res.status(400).json({
         type: 'error',
         error: {
           type: 'invalid_request_error',
           message: validation.errors.join('; ')
         }
       })
-    }
-
-    logger.silly('Processing message request', {
-      request,
-      provider: provider.id
-    })
-
-    // Handle streaming
-    if (request.stream) {
-      await handleStreamingResponse(res, request, provider, messagesService)
       return
     }
 
-    // Handle non-streaming
-    const response = await messagesService.processMessage(request, provider)
-    return res.json(response)
+    const extraHeaders = messagesService.prepareHeaders(req.headers)
+    const { client, anthropicRequest } = await messagesService.processMessage({
+      provider,
+      request,
+      extraHeaders,
+      modelId
+    })
+
+    if (request.stream) {
+      await messagesService.handleStreaming(client, anthropicRequest, { response: res }, provider)
+      return
+    }
+
+    const response = await client.messages.create(anthropicRequest)
+    res.json(response)
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    res.status(statusCode).json(errorResponse)
   }
 }
 
@@ -328,10 +234,11 @@ router.post('/', async (req: Request, res: Response) => {
     const provider = modelValidation.provider!
     const modelId = modelValidation.modelId!
 
-    // Use shared processing function
-    return await processMessageRequest(req, res, provider, modelId)
+    return handleMessageProcessing({ req, res, provider, request, modelId })
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    return res.status(statusCode).json(errorResponse)
   }
 })
 
@@ -483,10 +390,13 @@ providerRouter.post('/', async (req: Request, res: Response) => {
       })
     }
 
-    // Use shared processing function (no modelId override needed)
-    return await processMessageRequest(req, res, provider)
+    const request: MessageCreateParams = req.body
+
+    return handleMessageProcessing({ req, res, provider, request })
   } catch (error: any) {
-    return handleErrorResponse(res, error)
+    logger.error('Message processing error', { error })
+    const { statusCode, errorResponse } = messagesService.transformError(error)
+    return res.status(statusCode).json(errorResponse)
   }
 })
 

src/main/apiServer/routes/models.ts

@@ -104,9 +104,7 @@ const router = express
 
       logger.info('Models response ready', {
         filter,
-        total: response.total
-      })
-      logger.debug('Model IDs returned', {
+        total: response.total,
         modelIds: response.data.map((m) => m.id)
       })
 

src/main/apiServer/services/messages.ts

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

src/main/apiServer/services/models.ts

@@ -27,9 +27,20 @@ export class ModelsService {
 
       for (const model of models) {
         const provider = providers.find((p) => p.id === model.provider)
-        if (!provider || (provider.isAnthropicModel && !provider.isAnthropicModel(model))) {
+        logger.debug(`Processing model ${model.id} from provider ${model.provider}`, {
+          isAnthropicModel: provider?.isAnthropicModel
+        })
+        if (
+          !provider ||
+          (filter.providerType === 'anthropic' && provider.isAnthropicModel && !provider.isAnthropicModel(model))
+        ) {
           continue
         }
+        // Special case: For "aihubmix", it should be covered by above condition, but just in case
+        if (provider.id === 'aihubmix' && filter.providerType === 'anthropic' && !model.id.includes('claude')) {
+          continue
+        }
+
         const openAIModel = transformModelToOpenAI(model, provider)
         const fullModelId = openAIModel.id // This is already in format "provider:model_id"
 

src/main/apiServer/utils/createStreamAbortController.ts

@@ -0,0 +1,64 @@
+export type StreamAbortHandler = (reason: unknown) => void
+
+export interface StreamAbortController {
+  abortController: AbortController
+  registerAbortHandler: (handler: StreamAbortHandler) => void
+  clearAbortTimeout: () => void
+}
+
+export const STREAM_TIMEOUT_REASON = 'stream timeout'
+
+interface CreateStreamAbortControllerOptions {
+  timeoutMs: number
+}
+
+export const createStreamAbortController = (options: CreateStreamAbortControllerOptions): StreamAbortController => {
+  const { timeoutMs } = options
+  const abortController = new AbortController()
+  const signal = abortController.signal
+
+  let timeoutId: NodeJS.Timeout | undefined
+  let abortHandler: StreamAbortHandler | undefined
+
+  const clearAbortTimeout = () => {
+    if (!timeoutId) {
+      return
+    }
+    clearTimeout(timeoutId)
+    timeoutId = undefined
+  }
+
+  const handleAbort = () => {
+    clearAbortTimeout()
+
+    if (!abortHandler) {
+      return
+    }
+
+    abortHandler(signal.reason)
+  }
+
+  signal.addEventListener('abort', handleAbort, { once: true })
+
+  const registerAbortHandler = (handler: StreamAbortHandler) => {
+    abortHandler = handler
+
+    if (signal.aborted) {
+      abortHandler(signal.reason)
+    }
+  }
+
+  if (timeoutMs > 0) {
+    timeoutId = setTimeout(() => {
+      if (!signal.aborted) {
+        abortController.abort(STREAM_TIMEOUT_REASON)
+      }
+    }, timeoutMs)
+  }
+
+  return {
+    abortController,
+    registerAbortHandler,
+    clearAbortTimeout
+  }
+}

src/main/apiServer/utils/index.ts

@@ -7,13 +7,13 @@ const logger = loggerService.withContext('ApiServerUtils')
 
 // Cache configuration
 const PROVIDERS_CACHE_KEY = 'api-server:providers'
-const PROVIDERS_CACHE_TTL = 1 * 60 * 1000 // 1 minutes
+const PROVIDERS_CACHE_TTL = 10 * 1000 // 10 seconds
 
 export async function getAvailableProviders(): Promise<Provider[]> {
   try {
     // Try to get from cache first (faster)
     const cachedSupportedProviders = CacheService.get<Provider[]>(PROVIDERS_CACHE_KEY)
-    if (cachedSupportedProviders) {
+    if (cachedSupportedProviders && cachedSupportedProviders.length > 0) {
       logger.debug('Providers resolved from cache', {
         count: cachedSupportedProviders.length
       })

src/main/ipc.ts

@@ -45,6 +45,7 @@ import NotificationService from './services/NotificationService'
 import * as NutstoreService from './services/NutstoreService'
 import ObsidianVaultService from './services/ObsidianVaultService'
 import { ocrService } from './services/ocr/OcrService'
+import OvmsManager from './services/OvmsManager'
 import { proxyManager } from './services/ProxyManager'
 import { pythonService } from './services/PythonService'
 import { FileServiceManager } from './services/remotefile/FileServiceManager'
@@ -91,6 +92,7 @@ const obsidianVaultService = new ObsidianVaultService()
 const vertexAIService = VertexAIService.getInstance()
 const memoryService = MemoryService.getInstance()
 const dxtService = new DxtService()
+const ovmsManager = new OvmsManager()
 
 export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   const appUpdater = new AppUpdater()
@@ -463,6 +465,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   // system
   ipcMain.handle(IpcChannel.System_GetDeviceType, () => (isMac ? 'mac' : isWin ? 'windows' : 'linux'))
   ipcMain.handle(IpcChannel.System_GetHostname, () => require('os').hostname())
+  ipcMain.handle(IpcChannel.System_GetCpuName, () => require('os').cpus()[0].model)
   ipcMain.handle(IpcChannel.System_ToggleDevTools, (e) => {
     const win = BrowserWindow.fromWebContents(e.sender)
     win && win.webContents.toggleDevTools()
@@ -526,6 +529,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   ipcMain.handle(IpcChannel.File_ValidateNotesDirectory, fileManager.validateNotesDirectory.bind(fileManager))
   ipcMain.handle(IpcChannel.File_StartWatcher, fileManager.startFileWatcher.bind(fileManager))
   ipcMain.handle(IpcChannel.File_StopWatcher, fileManager.stopFileWatcher.bind(fileManager))
+  ipcMain.handle(IpcChannel.File_ShowInFolder, fileManager.showInFolder.bind(fileManager))
 
   // file service
   ipcMain.handle(IpcChannel.FileService_Upload, async (_, provider: Provider, file: FileMetadata) => {
@@ -741,6 +745,7 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   ipcMain.handle(IpcChannel.App_GetBinaryPath, (_, name: string) => getBinaryPath(name))
   ipcMain.handle(IpcChannel.App_InstallUvBinary, () => runInstallScript('install-uv.js'))
   ipcMain.handle(IpcChannel.App_InstallBunBinary, () => runInstallScript('install-bun.js'))
+  ipcMain.handle(IpcChannel.App_InstallOvmsBinary, () => runInstallScript('install-ovms.js'))
 
   //copilot
   ipcMain.handle(IpcChannel.Copilot_GetAuthMessage, CopilotService.getAuthMessage.bind(CopilotService))
@@ -872,6 +877,17 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
     ocrService.ocr(file, provider)
   )
 
+  // OVMS
+  ipcMain.handle(IpcChannel.Ovms_AddModel, (_, modelName: string, modelId: string, modelSource: string, task: string) =>
+    ovmsManager.addModel(modelName, modelId, modelSource, task)
+  )
+  ipcMain.handle(IpcChannel.Ovms_StopAddModel, () => ovmsManager.stopAddModel())
+  ipcMain.handle(IpcChannel.Ovms_GetModels, () => ovmsManager.getModels())
+  ipcMain.handle(IpcChannel.Ovms_IsRunning, () => ovmsManager.initializeOvms())
+  ipcMain.handle(IpcChannel.Ovms_GetStatus, () => ovmsManager.getOvmsStatus())
+  ipcMain.handle(IpcChannel.Ovms_RunOVMS, () => ovmsManager.runOvms())
+  ipcMain.handle(IpcChannel.Ovms_StopOVMS, () => ovmsManager.stopOvms())
+
   // CherryAI
   ipcMain.handle(IpcChannel.Cherryai_GetSignature, (_, params) => generateSignature(params))
 }

src/main/services/CodeToolsService.ts

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

src/main/services/FileStorage.ts

@@ -725,7 +725,10 @@ class FileStorage {
   }
 
   public openPath = async (_: Electron.IpcMainInvokeEvent, path: string): Promise<void> => {
-    shell.openPath(path).catch((err) => logger.error('[IPC - Error] Failed to open file:', err))
+    const resolved = await shell.openPath(path)
+    if (resolved !== '') {
+      throw new Error(resolved)
+    }
   }
 
   /**
@@ -1229,6 +1232,19 @@ class FileStorage {
       return false
     }
   }
+
+  public showInFolder = async (_: Electron.IpcMainInvokeEvent, path: string): Promise<void> => {
+    if (!fs.existsSync(path)) {
+      const msg = `File or folder does not exist: ${path}`
+      logger.error(msg)
+      throw new Error(msg)
+    }
+    try {
+      shell.showItemInFolder(path)
+    } catch (error) {
+      logger.error('Failed to show item in folder:', error as Error)
+    }
+  }
 }
 
 export const fileStorage = new FileStorage()

src/main/services/OvmsManager.ts

@@ -0,0 +1,586 @@
+import { exec } from 'node:child_process'
+import { homedir } from 'node:os'
+import { promisify } from 'node:util'
+
+import { loggerService } from '@logger'
+import * as fs from 'fs-extra'
+import * as path from 'path'
+
+const logger = loggerService.withContext('OvmsManager')
+
+const execAsync = promisify(exec)
+
+interface OvmsProcess {
+  pid: number
+  path: string
+  workingDirectory: string
+}
+
+interface ModelConfig {
+  name: string
+  base_path: string
+}
+
+interface OvmsConfig {
+  mediapipe_config_list: ModelConfig[]
+}
+
+class OvmsManager {
+  private ovms: OvmsProcess | null = null
+
+  /**
+   * Recursively terminate a process and all its child processes
+   * @param pid Process ID to terminate
+   * @returns Promise<{ success: boolean; message?: string }>
+   */
+  private async terminalProcess(pid: number): Promise<{ success: boolean; message?: string }> {
+    try {
+      // Check if the process is running
+      const processCheckCommand = `Get-Process -Id ${pid} -ErrorAction SilentlyContinue | Select-Object Id | ConvertTo-Json`
+      const { stdout: processStdout } = await execAsync(`powershell -Command "${processCheckCommand}"`)
+
+      if (!processStdout.trim()) {
+        logger.info(`Process with PID ${pid} is not running`)
+        return { success: true, message: `Process with PID ${pid} is not running` }
+      }
+
+      // Find child processes
+      const childProcessCommand = `Get-WmiObject -Class Win32_Process | Where-Object { $_.ParentProcessId -eq ${pid} } | Select-Object ProcessId | ConvertTo-Json`
+      const { stdout: childStdout } = await execAsync(`powershell -Command "${childProcessCommand}"`)
+
+      // If there are child processes, terminate them first
+      if (childStdout.trim()) {
+        const childProcesses = JSON.parse(childStdout)
+        const childList = Array.isArray(childProcesses) ? childProcesses : [childProcesses]
+
+        logger.info(`Found ${childList.length} child processes for PID ${pid}`)
+
+        // Recursively terminate each child process
+        for (const childProcess of childList) {
+          const childPid = childProcess.ProcessId
+          logger.info(`Terminating child process PID: ${childPid}`)
+          await this.terminalProcess(childPid)
+        }
+      } else {
+        logger.info(`No child processes found for PID ${pid}`)
+      }
+
+      // Finally, terminate the parent process
+      const killCommand = `Stop-Process -Id ${pid} -Force -ErrorAction SilentlyContinue`
+      await execAsync(`powershell -Command "${killCommand}"`)
+      logger.info(`Terminated process with PID: ${pid}`)
+
+      // Wait for the process to disappear with 5-second timeout
+      const timeout = 5000 // 5 seconds
+      const startTime = Date.now()
+
+      while (Date.now() - startTime < timeout) {
+        const checkCommand = `Get-Process -Id ${pid} -ErrorAction SilentlyContinue | Select-Object Id | ConvertTo-Json`
+        const { stdout: checkStdout } = await execAsync(`powershell -Command "${checkCommand}"`)
+
+        if (!checkStdout.trim()) {
+          logger.info(`Process with PID ${pid} has disappeared`)
+          return { success: true, message: `Process ${pid} and all child processes terminated successfully` }
+        }
+
+        // Wait 300ms before checking again
+        await new Promise((resolve) => setTimeout(resolve, 300))
+      }
+
+      logger.warn(`Process with PID ${pid} did not disappear within timeout`)
+      return { success: false, message: `Process ${pid} did not disappear within 5 seconds` }
+    } catch (error) {
+      logger.error(`Failed to terminate process ${pid}:`, error as Error)
+      return { success: false, message: `Failed to terminate process ${pid}` }
+    }
+  }
+
+  /**
+   * Stop OVMS process if it's running
+   * @returns Promise<{ success: boolean; message?: string }>
+   */
+  public async stopOvms(): Promise<{ success: boolean; message?: string }> {
+    try {
+      // Check if OVMS process is running
+      const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
+      const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
+
+      if (!stdout.trim()) {
+        logger.info('OVMS process is not running')
+        return { success: true, message: 'OVMS process is not running' }
+      }
+
+      const processes = JSON.parse(stdout)
+      const processList = Array.isArray(processes) ? processes : [processes]
+
+      if (processList.length === 0) {
+        logger.info('OVMS process is not running')
+        return { success: true, message: 'OVMS process is not running' }
+      }
+
+      // Terminate all OVMS processes using terminalProcess
+      for (const process of processList) {
+        const result = await this.terminalProcess(process.Id)
+        if (!result.success) {
+          logger.error(`Failed to terminate OVMS process with PID: ${process.Id}, ${result.message}`)
+          return { success: false, message: `Failed to terminate OVMS process: ${result.message}` }
+        }
+        logger.info(`Terminated OVMS process with PID: ${process.Id}`)
+      }
+
+      // Reset the ovms instance
+      this.ovms = null
+
+      logger.info('OVMS process stopped successfully')
+      return { success: true, message: 'OVMS process stopped successfully' }
+    } catch (error) {
+      logger.error(`Failed to stop OVMS process: ${error}`)
+      return { success: false, message: 'Failed to stop OVMS process' }
+    }
+  }
+
+  /**
+   * Run OVMS by ensuring config.json exists and executing run.bat
+   * @returns Promise<{ success: boolean; message?: string }>
+   */
+  public async runOvms(): Promise<{ success: boolean; message?: string }> {
+    const homeDir = homedir()
+    const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
+    const configPath = path.join(ovmsDir, 'models', 'config.json')
+    const runBatPath = path.join(ovmsDir, 'run.bat')
+
+    try {
+      // Check if config.json exists, if not create it with default content
+      if (!(await fs.pathExists(configPath))) {
+        logger.info(`Config file does not exist, creating: ${configPath}`)
+
+        // Ensure the models directory exists
+        await fs.ensureDir(path.dirname(configPath))
+
+        // Create config.json with default content
+        const defaultConfig = {
+          mediapipe_config_list: [],
+          model_config_list: []
+        }
+
+        await fs.writeJson(configPath, defaultConfig, { spaces: 2 })
+        logger.info(`Config file created: ${configPath}`)
+      }
+
+      // Check if run.bat exists
+      if (!(await fs.pathExists(runBatPath))) {
+        logger.error(`run.bat not found at: ${runBatPath}`)
+        return { success: false, message: 'run.bat not found' }
+      }
+
+      // Run run.bat without waiting for it to complete
+      logger.info(`Starting OVMS with run.bat: ${runBatPath}`)
+      exec(`"${runBatPath}"`, { cwd: ovmsDir }, (error) => {
+        if (error) {
+          logger.error(`Error running run.bat: ${error}`)
+        }
+      })
+
+      logger.info('OVMS started successfully')
+      return { success: true }
+    } catch (error) {
+      logger.error(`Failed to run OVMS: ${error}`)
+      return { success: false, message: 'Failed to run OVMS' }
+    }
+  }
+
+  /**
+   * Get OVMS status - checks installation and running status
+   * @returns 'not-installed' | 'not-running' | 'running'
+   */
+  public async getOvmsStatus(): Promise<'not-installed' | 'not-running' | 'running'> {
+    const homeDir = homedir()
+    const ovmsPath = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms', 'ovms.exe')
+
+    try {
+      // Check if OVMS executable exists
+      if (!(await fs.pathExists(ovmsPath))) {
+        logger.info(`OVMS executable not found at: ${ovmsPath}`)
+        return 'not-installed'
+      }
+
+      // Check if OVMS process is running
+      //const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Where-Object { $_.Path -eq "${ovmsPath.replace(/\\/g, '\\\\')}" } | Select-Object Id | ConvertTo-Json`;
+      //const { stdout } = await execAsync(`powershell -Command "${psCommand}"`);
+      const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
+      const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
+
+      if (!stdout.trim()) {
+        logger.info('OVMS process not running')
+        return 'not-running'
+      }
+
+      const processes = JSON.parse(stdout)
+      const processList = Array.isArray(processes) ? processes : [processes]
+
+      if (processList.length > 0) {
+        logger.info('OVMS process is running')
+        return 'running'
+      } else {
+        logger.info('OVMS process not running')
+        return 'not-running'
+      }
+    } catch (error) {
+      logger.info(`Failed to check OVMS status: ${error}`)
+      return 'not-running'
+    }
+  }
+
+  /**
+   * Initialize OVMS by finding the executable path and working directory
+   */
+  public async initializeOvms(): Promise<boolean> {
+    // Use PowerShell to find ovms.exe processes with their paths
+    const psCommand = `Get-Process -Name "ovms" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
+    const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
+
+    if (!stdout.trim()) {
+      logger.error('Command to find OVMS process returned no output')
+      return false
+    }
+    logger.debug(`OVMS process output: ${stdout}`)
+
+    const processes = JSON.parse(stdout)
+    const processList = Array.isArray(processes) ? processes : [processes]
+
+    // Find the first process with a valid path
+    for (const process of processList) {
+      this.ovms = {
+        pid: process.Id,
+        path: process.Path,
+        workingDirectory: path.dirname(process.Path)
+      }
+      return true
+    }
+
+    return this.ovms !== null
+  }
+
+  /**
+   * Check if the Model Name and ID are valid, they are valid only if they are not used in the config.json
+   * @param modelName Name of the model to check
+   * @param modelId ID of the model to check
+   */
+  public async isNameAndIDAvalid(modelName: string, modelId: string): Promise<boolean> {
+    if (!modelName || !modelId) {
+      logger.error('Model name and ID cannot be empty')
+      return false
+    }
+
+    const homeDir = homedir()
+    const configPath = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms', 'models', 'config.json')
+    try {
+      if (!(await fs.pathExists(configPath))) {
+        logger.warn(`Config file does not exist: ${configPath}`)
+        return false
+      }
+
+      const config: OvmsConfig = await fs.readJson(configPath)
+      if (!config.mediapipe_config_list) {
+        logger.warn(`No mediapipe_config_list found in config: ${configPath}`)
+        return false
+      }
+
+      // Check if the model name or ID already exists in the config
+      const exists = config.mediapipe_config_list.some(
+        (model) => model.name === modelName || model.base_path === modelId
+      )
+      if (exists) {
+        logger.warn(`Model with name "${modelName}" or ID "${modelId}" already exists in the config`)
+        return false
+      }
+    } catch (error) {
+      logger.error(`Failed to check model existence: ${error}`)
+      return false
+    }
+
+    return true
+  }
+
+  private async applyModelPath(modelDirPath: string): Promise<boolean> {
+    const homeDir = homedir()
+    const patchDir = path.join(homeDir, '.cherrystudio', 'ovms', 'patch')
+    if (!(await fs.pathExists(patchDir))) {
+      return true
+    }
+
+    const modelId = path.basename(modelDirPath)
+
+    // get all sub directories in patchDir
+    const patchs = await fs.readdir(patchDir)
+    for (const patch of patchs) {
+      const fullPatchPath = path.join(patchDir, patch)
+
+      if (fs.lstatSync(fullPatchPath).isDirectory()) {
+        if (modelId.toLowerCase().includes(patch.toLowerCase())) {
+          // copy all files from fullPath to modelDirPath
+          try {
+            const files = await fs.readdir(fullPatchPath)
+            for (const file of files) {
+              const srcFile = path.join(fullPatchPath, file)
+              const destFile = path.join(modelDirPath, file)
+              await fs.copyFile(srcFile, destFile)
+            }
+          } catch (error) {
+            logger.error(`Failed to copy files from ${fullPatchPath} to ${modelDirPath}: ${error}`)
+            return false
+          }
+          logger.info(`Applied patchs for model ${modelId}`)
+          return true
+        }
+      }
+    }
+
+    return true
+  }
+
+  /**
+   * Add a model to OVMS by downloading it
+   * @param modelName Name of the model to add
+   * @param modelId ID of the model to download
+   * @param modelSource Model Source: huggingface, hf-mirror and modelscope, default is huggingface
+   * @param task Task type: text_generation, embedding, rerank, image_generation
+   */
+  public async addModel(
+    modelName: string,
+    modelId: string,
+    modelSource: string,
+    task: string = 'text_generation'
+  ): Promise<{ success: boolean; message?: string }> {
+    logger.info(`Adding model: ${modelName} with ID: ${modelId}, Source: ${modelSource}, Task: ${task}`)
+
+    const homeDir = homedir()
+    const ovdndDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
+    const pathModel = path.join(ovdndDir, 'models', modelId)
+
+    try {
+      // check the ovdnDir+'models'+modelId exist or not
+      if (await fs.pathExists(pathModel)) {
+        logger.error(`Model with ID ${modelId} already exists`)
+        return { success: false, message: 'Model ID already exists!' }
+      }
+
+      // remove the model directory if it exists
+      if (await fs.pathExists(pathModel)) {
+        logger.info(`Removing existing model directory: ${pathModel}`)
+        await fs.remove(pathModel)
+      }
+
+      // Use ovdnd.exe for downloading instead of ovms.exe
+      const ovdndPath = path.join(ovdndDir, 'ovdnd.exe')
+      const command =
+        `"${ovdndPath}" --pull ` +
+        `--model_repository_path "${ovdndDir}/models" ` +
+        `--source_model "${modelId}" ` +
+        `--model_name "${modelName}" ` +
+        `--target_device GPU ` +
+        `--task ${task} ` +
+        `--overwrite_models`
+
+      const env: Record<string, string | undefined> = {
+        ...process.env,
+        OVMS_DIR: ovdndDir,
+        PYTHONHOME: path.join(ovdndDir, 'python'),
+        PATH: `${process.env.PATH};${ovdndDir};${path.join(ovdndDir, 'python')}`
+      }
+
+      if (modelSource) {
+        env.HF_ENDPOINT = modelSource
+      }
+
+      logger.info(`Running command: ${command} from ${modelSource}`)
+      const { stdout } = await execAsync(command, { env: env, cwd: ovdndDir })
+
+      logger.info('Model download completed')
+      logger.debug(`Command output: ${stdout}`)
+    } catch (error) {
+      // remove ovdnDir+'models'+modelId if it exists
+      if (await fs.pathExists(pathModel)) {
+        logger.info(`Removing failed model directory: ${pathModel}`)
+        await fs.remove(pathModel)
+      }
+      logger.error(`Failed to add model: ${error}`)
+      return {
+        success: false,
+        message: `Download model ${modelId} failed, please check following items and try it again:<p>- the model id</p><p>- network connection and proxy</p>`
+      }
+    }
+
+    // Update config file
+    if (!(await this.updateModelConfig(modelName, modelId))) {
+      logger.error('Failed to update model config')
+      return { success: false, message: 'Failed to update model config' }
+    }
+
+    if (!(await this.applyModelPath(pathModel))) {
+      logger.error('Failed to apply model patchs')
+      return { success: false, message: 'Failed to apply model patchs' }
+    }
+
+    logger.info(`Model ${modelName} added successfully with ID ${modelId}`)
+    return { success: true }
+  }
+
+  /**
+   * Stop the model download process if it's running
+   * @returns Promise<{ success: boolean; message?: string }>
+   */
+  public async stopAddModel(): Promise<{ success: boolean; message?: string }> {
+    try {
+      // Check if ovdnd.exe process is running
+      const psCommand = `Get-Process -Name "ovdnd" -ErrorAction SilentlyContinue | Select-Object Id, Path | ConvertTo-Json`
+      const { stdout } = await execAsync(`powershell -Command "${psCommand}"`)
+
+      if (!stdout.trim()) {
+        logger.info('ovdnd process is not running')
+        return { success: true, message: 'Model download process is not running' }
+      }
+
+      const processes = JSON.parse(stdout)
+      const processList = Array.isArray(processes) ? processes : [processes]
+
+      if (processList.length === 0) {
+        logger.info('ovdnd process is not running')
+        return { success: true, message: 'Model download process is not running' }
+      }
+
+      // Terminate all ovdnd processes
+      for (const process of processList) {
+        this.terminalProcess(process.Id)
+      }
+
+      logger.info('Model download process stopped successfully')
+      return { success: true, message: 'Model download process stopped successfully' }
+    } catch (error) {
+      logger.error(`Failed to stop model download process: ${error}`)
+      return { success: false, message: 'Failed to stop model download process' }
+    }
+  }
+
+  /**
+   * check if the model id exists in the OVMS configuration
+   * @param modelId ID of the model to check
+   */
+  public async checkModelExists(modelId: string): Promise<boolean> {
+    const homeDir = homedir()
+    const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
+    const configPath = path.join(ovmsDir, 'models', 'config.json')
+
+    try {
+      if (!(await fs.pathExists(configPath))) {
+        logger.warn(`Config file does not exist: ${configPath}`)
+        return false
+      }
+
+      const config: OvmsConfig = await fs.readJson(configPath)
+      if (!config.mediapipe_config_list) {
+        logger.warn('No mediapipe_config_list found in config')
+        return false
+      }
+
+      return config.mediapipe_config_list.some((model) => model.base_path === modelId)
+    } catch (error) {
+      logger.error(`Failed to check model existence: ${error}`)
+      return false
+    }
+  }
+
+  /**
+   * Update the model configuration file
+   */
+  public async updateModelConfig(modelName: string, modelId: string): Promise<boolean> {
+    const homeDir = homedir()
+    const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
+    const configPath = path.join(ovmsDir, 'models', 'config.json')
+
+    try {
+      // Ensure the models directory exists
+      await fs.ensureDir(path.dirname(configPath))
+      let config: OvmsConfig
+
+      // Read existing config or create new one
+      if (await fs.pathExists(configPath)) {
+        config = await fs.readJson(configPath)
+      } else {
+        config = { mediapipe_config_list: [] }
+      }
+
+      // Ensure mediapipe_config_list exists
+      if (!config.mediapipe_config_list) {
+        config.mediapipe_config_list = []
+      }
+
+      // Add new model config
+      const newModelConfig: ModelConfig = {
+        name: modelName,
+        base_path: modelId
+      }
+
+      // Check if model already exists, if so, update it
+      const existingIndex = config.mediapipe_config_list.findIndex((model) => model.base_path === modelId)
+
+      if (existingIndex >= 0) {
+        config.mediapipe_config_list[existingIndex] = newModelConfig
+        logger.info(`Updated existing model config: ${modelName}`)
+      } else {
+        config.mediapipe_config_list.push(newModelConfig)
+        logger.info(`Added new model config: ${modelName}`)
+      }
+
+      // Write config back to file
+      await fs.writeJson(configPath, config, { spaces: 2 })
+      logger.info(`Config file updated: ${configPath}`)
+    } catch (error) {
+      logger.error(`Failed to update model config: ${error}`)
+      return false
+    }
+    return true
+  }
+
+  /**
+   * Get all models from OVMS config, filtered for image generation models
+   * @returns Array of model configurations
+   */
+  public async getModels(): Promise<ModelConfig[]> {
+    const homeDir = homedir()
+    const ovmsDir = path.join(homeDir, '.cherrystudio', 'ovms', 'ovms')
+    const configPath = path.join(ovmsDir, 'models', 'config.json')
+
+    try {
+      if (!(await fs.pathExists(configPath))) {
+        logger.warn(`Config file does not exist: ${configPath}`)
+        return []
+      }
+
+      const config: OvmsConfig = await fs.readJson(configPath)
+      if (!config.mediapipe_config_list) {
+        logger.warn('No mediapipe_config_list found in config')
+        return []
+      }
+
+      // Filter models for image generation (SD, Stable-Diffusion, Stable Diffusion, FLUX)
+      const imageGenerationModels = config.mediapipe_config_list.filter((model) => {
+        const modelName = model.name.toLowerCase()
+        return (
+          modelName.startsWith('sd') ||
+          modelName.startsWith('stable-diffusion') ||
+          modelName.startsWith('stable diffusion') ||
+          modelName.startsWith('flux')
+        )
+      })
+
+      logger.info(`Found ${imageGenerationModels.length} image generation models`)
+      return imageGenerationModels
+    } catch (error) {
+      logger.error(`Failed to get models: ${error}`)
+      return []
+    }
+  }
+}
+
+export default OvmsManager

src/main/services/agents/AGENT_MESSAGE_ARCHITECTURE.md

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

src/main/services/agents/BaseService.ts

@@ -59,16 +59,23 @@ export abstract class BaseService {
     }
     if (ids && ids.length > 0) {
       for (const id of ids) {
-        const server = await mcpApiService.getServerInfo(id)
-        if (server) {
-          server.tools.forEach((tool: MCPTool) => {
-            tools.push({
-              id: `mcp_${id}_${tool.name}`,
-              name: tool.name,
-              type: 'mcp',
-              description: tool.description || '',
-              requirePermissions: true
+        try {
+          const server = await mcpApiService.getServerInfo(id)
+          if (server) {
+            server.tools.forEach((tool: MCPTool) => {
+              tools.push({
+                id: `mcp_${id}_${tool.name}`,
+                name: tool.name,
+                type: 'mcp',
+                description: tool.description || '',
+                requirePermissions: true
+              })
             })
+          }
+        } catch (error) {
+          logger.warn('Failed to list MCP tools', {
+            id,
+            error: error as Error
           })
         }
       }

src/main/services/agents/services/SessionMessageService.ts

@@ -6,7 +6,7 @@ import type {
   ListOptions
 } from '@types'
 import { TextStreamPart } from 'ai'
-import { and, desc, eq } from 'drizzle-orm'
+import { and, desc, eq, not } from 'drizzle-orm'
 
 import { BaseService } from '../BaseService'
 import { sessionMessagesTable } from '../database/schema'
@@ -276,7 +276,7 @@ export class SessionMessageService extends BaseService {
       const result = await this.database
         .select({ agent_session_id: sessionMessagesTable.agent_session_id })
         .from(sessionMessagesTable)
-        .where(eq(sessionMessagesTable.session_id, sessionId))
+        .where(and(eq(sessionMessagesTable.session_id, sessionId), not(eq(sessionMessagesTable.agent_session_id, ''))))
         .orderBy(desc(sessionMessagesTable.created_at))
         .limit(1)
 

src/main/services/agents/services/claudecode/__tests__/transform.test.ts

@@ -1,4 +1,4 @@
-import type { SDKMessage } from '@anthropic-ai/claude-code'
+import type { SDKMessage } from '@anthropic-ai/claude-agent-sdk'
 import { describe, expect, it } from 'vitest'
 
 import { ClaudeStreamState, transformSDKMessageToStreamParts } from '../transform'

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

@@ -2,7 +2,7 @@
 import { EventEmitter } from 'node:events'
 import { createRequire } from 'node:module'
 
-import { McpHttpServerConfig, Options, query, SDKMessage } from '@anthropic-ai/claude-code'
+import { McpHttpServerConfig, Options, query, SDKMessage } from '@anthropic-ai/claude-agent-sdk'
 import { loggerService } from '@logger'
 import { config as apiConfigService } from '@main/apiServer/config'
 import { validateModelId } from '@main/apiServer/utils'
@@ -27,7 +27,7 @@ class ClaudeCodeService implements AgentServiceInterface {
 
   constructor() {
     // Resolve Claude Code CLI robustly (works in dev and in asar)
-    this.claudeExecutablePath = require_.resolve('@anthropic-ai/claude-code/cli.js')
+    this.claudeExecutablePath = require_.resolve('@anthropic-ai/claude-agent-sdk/cli.js')
     if (app.isPackaged) {
       this.claudeExecutablePath = this.claudeExecutablePath.replace(/\.asar([\\/])/, '.asar.unpacked$1')
     }
@@ -78,10 +78,21 @@ class ClaudeCodeService implements AgentServiceInterface {
 
     const apiConfig = await apiConfigService.get()
     const loginShellEnv = await getLoginShellEnvironment()
+    const loginShellEnvWithoutProxies = Object.fromEntries(
+      Object.entries(loginShellEnv).filter(([key]) => !key.toLowerCase().endsWith('_proxy'))
+    ) as Record<string, string>
+
     const env = {
-      ...loginShellEnv,
-      ANTHROPIC_API_KEY: apiConfig.apiKey,
-      ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
+      ...loginShellEnvWithoutProxies,
+      // TODO: fix the proxy api server
+      // ANTHROPIC_API_KEY: apiConfig.apiKey,
+      // ANTHROPIC_AUTH_TOKEN: apiConfig.apiKey,
+      // ANTHROPIC_BASE_URL: `http://${apiConfig.host}:${apiConfig.port}/${modelInfo.provider.id}`,
+      ANTHROPIC_API_KEY: modelInfo.provider.apiKey,
+      ANTHROPIC_AUTH_TOKEN: modelInfo.provider.apiKey,
+      ANTHROPIC_BASE_URL: modelInfo.provider.anthropicApiHost?.trim() || modelInfo.provider.apiHost,
+      ANTHROPIC_MODEL: modelInfo.modelId,
+      ANTHROPIC_SMALL_FAST_MODEL: modelInfo.modelId,
       ELECTRON_RUN_AS_NODE: '1',
       ELECTRON_NO_ATTACH_CONSOLE: '1'
     }
@@ -93,13 +104,20 @@ class ClaudeCodeService implements AgentServiceInterface {
       abortController,
       cwd,
       env,
-      model: modelInfo.modelId,
+      // model: modelInfo.modelId,
       pathToClaudeCodeExecutable: this.claudeExecutablePath,
       stderr: (chunk: string) => {
         logger.warn('claude stderr', { chunk })
         errorChunks.push(chunk)
       },
-      appendSystemPrompt: session.instructions,
+      systemPrompt: session.instructions
+        ? {
+            type: 'preset',
+            preset: 'claude_code',
+            append: session.instructions
+          }
+        : { type: 'preset', preset: 'claude_code' },
+      settingSources: ['project'],
       includePartialMessages: true,
       permissionMode: session.configuration?.permission_mode,
       maxTurns: session.configuration?.max_turns,
@@ -128,6 +146,8 @@ class ClaudeCodeService implements AgentServiceInterface {
 
     if (lastAgentSessionId) {
       options.resume = lastAgentSessionId
+      // TODO: use fork session when we support branching sessions
+      // options.forkSession = true
     }
 
     logger.info('Starting Claude Code SDK query', {
@@ -140,8 +160,18 @@ class ClaudeCodeService implements AgentServiceInterface {
       resume: options.resume
     })
 
-    // Start async processing
-    this.processSDKQuery(prompt, options, aiStream, errorChunks)
+    // Start async processing on the next tick so listeners can subscribe first
+    setImmediate(() => {
+      this.processSDKQuery(prompt, options, aiStream, errorChunks).catch((error) => {
+        logger.error('Unhandled Claude Code stream error', {
+          error: error instanceof Error ? { name: error.name, message: error.message } : String(error)
+        })
+        aiStream.emit('data', {
+          type: 'error',
+          error: error instanceof Error ? error : new Error(String(error))
+        })
+      })
+    })
 
     return aiStream
   }
@@ -194,6 +224,11 @@ class ClaudeCodeService implements AgentServiceInterface {
             message,
             event: JSON.stringify(message.event)
           })
+        } else {
+          logger.silly('Claude response', {
+            message,
+            event: JSON.stringify(message)
+          })
         }
 
         // Transform SDKMessage to UIMessageChunks
@@ -244,6 +279,11 @@ class ClaudeCodeService implements AgentServiceInterface {
 
       errorChunks.push(errorObj instanceof Error ? errorObj.message : String(errorObj))
       const errorMessage = errorChunks.join('\n\n')
+      logger.error('SDK query failed', {
+        duration,
+        error: errorObj instanceof Error ? { name: errorObj.name, message: errorObj.message } : String(errorObj),
+        stderr: errorChunks
+      })
       // Emit error event
       stream.emit('data', {
         type: 'error',

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

@@ -20,7 +20,7 @@
  *        emitting `text-*` parts and a synthetic `finish-step`.
  */
 
-import { SDKMessage } from '@anthropic-ai/claude-code'
+import { SDKMessage } from '@anthropic-ai/claude-agent-sdk'
 import type { BetaStopReason } from '@anthropic-ai/sdk/resources/beta/messages/messages.mjs'
 import { loggerService } from '@logger'
 import type { FinishReason, LanguageModelUsage, ProviderMetadata, TextStreamPart } from 'ai'
@@ -591,6 +591,15 @@ function handleSystemMessage(message: Extract<SDKMessage, { type: 'system' }>):
         raw: message
       }
     })
+  } else if (message.subtype === 'compact_boundary') {
+    chunks.push({
+      type: 'raw',
+      rawValue: {
+        type: 'compact',
+        session_id: message.session_id,
+        raw: message
+      }
+    })
   }
   return chunks
 }

src/preload/index.ts

@@ -95,7 +95,8 @@ const api = {
   },
   system: {
     getDeviceType: () => ipcRenderer.invoke(IpcChannel.System_GetDeviceType),
-    getHostname: () => ipcRenderer.invoke(IpcChannel.System_GetHostname)
+    getHostname: () => ipcRenderer.invoke(IpcChannel.System_GetHostname),
+    getCpuName: () => ipcRenderer.invoke(IpcChannel.System_GetCpuName)
   },
   devTools: {
     toggle: () => ipcRenderer.invoke(IpcChannel.System_ToggleDevTools)
@@ -199,7 +200,8 @@ const api = {
       }
       ipcRenderer.on('file-change', listener)
       return () => ipcRenderer.off('file-change', listener)
-    }
+    },
+    showInFolder: (path: string): Promise<void> => ipcRenderer.invoke(IpcChannel.File_ShowInFolder, path)
   },
   fs: {
     read: (pathOrUrl: string, encoding?: BufferEncoding) => ipcRenderer.invoke(IpcChannel.Fs_Read, pathOrUrl, encoding),
@@ -286,6 +288,16 @@ const api = {
     clearAuthCache: (projectId: string, clientEmail?: string) =>
       ipcRenderer.invoke(IpcChannel.VertexAI_ClearAuthCache, projectId, clientEmail)
   },
+  ovms: {
+    addModel: (modelName: string, modelId: string, modelSource: string, task: string) =>
+      ipcRenderer.invoke(IpcChannel.Ovms_AddModel, modelName, modelId, modelSource, task),
+    stopAddModel: () => ipcRenderer.invoke(IpcChannel.Ovms_StopAddModel),
+    getModels: () => ipcRenderer.invoke(IpcChannel.Ovms_GetModels),
+    isRunning: () => ipcRenderer.invoke(IpcChannel.Ovms_IsRunning),
+    getStatus: () => ipcRenderer.invoke(IpcChannel.Ovms_GetStatus),
+    runOvms: () => ipcRenderer.invoke(IpcChannel.Ovms_RunOVMS),
+    stopOvms: () => ipcRenderer.invoke(IpcChannel.Ovms_StopOVMS)
+  },
   config: {
     set: (key: string, value: any, isNotify: boolean = false) =>
       ipcRenderer.invoke(IpcChannel.Config_Set, key, value, isNotify),
@@ -351,6 +363,7 @@ const api = {
   getBinaryPath: (name: string) => ipcRenderer.invoke(IpcChannel.App_GetBinaryPath, name),
   installUVBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallUvBinary),
   installBunBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallBunBinary),
+  installOvmsBinary: () => ipcRenderer.invoke(IpcChannel.App_InstallOvmsBinary),
   protocol: {
     onReceiveData: (callback: (data: { url: string; params: any }) => void) => {
       const listener = (_event: Electron.IpcRendererEvent, data: { url: string; params: any }) => {

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

@@ -24,6 +24,8 @@ export class AiSdkToChunkAdapter {
   private isFirstChunk = true
   private enableWebSearch: boolean = false
   private onSessionUpdate?: (sessionId: string) => void
+  private responseStartTimestamp: number | null = null
+  private firstTokenTimestamp: number | null = null
 
   constructor(
     private onChunk: (chunk: Chunk) => void,
@@ -38,6 +40,17 @@ export class AiSdkToChunkAdapter {
     this.onSessionUpdate = onSessionUpdate
   }
 
+  private markFirstTokenIfNeeded() {
+    if (this.firstTokenTimestamp === null && this.responseStartTimestamp !== null) {
+      this.firstTokenTimestamp = Date.now()
+    }
+  }
+
+  private resetTimingState() {
+    this.responseStartTimestamp = null
+    this.firstTokenTimestamp = null
+  }
+
   /**
    * 处理 AI SDK 流结果
    * @param aiSdkResult AI SDK 的流结果对象
@@ -65,6 +78,8 @@ export class AiSdkToChunkAdapter {
       webSearchResults: [],
       reasoningId: ''
     }
+    this.resetTimingState()
+    this.responseStartTimestamp = Date.now()
     // Reset link converter state at the start of stream
     this.isFirstChunk = true
 
@@ -77,6 +92,7 @@ export class AiSdkToChunkAdapter {
           if (this.enableWebSearch) {
             const remainingText = flushLinkConverterBuffer()
             if (remainingText) {
+              this.markFirstTokenIfNeeded()
               this.onChunk({
                 type: ChunkType.TEXT_DELTA,
                 text: remainingText
@@ -91,6 +107,7 @@ export class AiSdkToChunkAdapter {
       }
     } finally {
       reader.releaseLock()
+      this.resetTimingState()
     }
   }
 
@@ -152,6 +169,7 @@ export class AiSdkToChunkAdapter {
 
         // Only emit chunk if there's text to send
         if (finalText) {
+          this.markFirstTokenIfNeeded()
           this.onChunk({
             type: ChunkType.TEXT_DELTA,
             text: this.accumulate ? final.text : finalText
@@ -176,16 +194,18 @@ export class AiSdkToChunkAdapter {
         break
       case 'reasoning-delta':
         final.reasoningContent += chunk.text || ''
+        if (chunk.text) {
+          this.markFirstTokenIfNeeded()
+        }
         this.onChunk({
           type: ChunkType.THINKING_DELTA,
-          text: final.reasoningContent || '',
-          thinking_millsec: (chunk.providerMetadata?.metadata?.thinking_millsec as number) || 0
+          text: final.reasoningContent || ''
         })
         break
       case 'reasoning-end':
         this.onChunk({
           type: ChunkType.THINKING_COMPLETE,
-          text: (chunk.providerMetadata?.metadata?.thinking_content as string) || final.reasoningContent
+          text: final.reasoningContent || ''
         })
         final.reasoningContent = ''
         break
@@ -276,44 +296,37 @@ export class AiSdkToChunkAdapter {
         break
       }
 
-      case 'finish':
+      case 'finish': {
+        const usage = {
+          completion_tokens: chunk.totalUsage?.outputTokens || 0,
+          prompt_tokens: chunk.totalUsage?.inputTokens || 0,
+          total_tokens: chunk.totalUsage?.totalTokens || 0
+        }
+        const metrics = this.buildMetrics(chunk.totalUsage)
+        const baseResponse = {
+          text: final.text || '',
+          reasoning_content: final.reasoningContent || ''
+        }
+
         this.onChunk({
           type: ChunkType.BLOCK_COMPLETE,
           response: {
-            text: final.text || '',
-            reasoning_content: final.reasoningContent || '',
-            usage: {
-              completion_tokens: chunk.totalUsage.outputTokens || 0,
-              prompt_tokens: chunk.totalUsage.inputTokens || 0,
-              total_tokens: chunk.totalUsage.totalTokens || 0
-            },
-            metrics: chunk.totalUsage
-              ? {
-                  completion_tokens: chunk.totalUsage.outputTokens || 0,
-                  time_completion_millsec: 0
-                }
-              : undefined
+            ...baseResponse,
+            usage: { ...usage },
+            metrics: metrics ? { ...metrics } : undefined
           }
         })
         this.onChunk({
           type: ChunkType.LLM_RESPONSE_COMPLETE,
           response: {
-            text: final.text || '',
-            reasoning_content: final.reasoningContent || '',
-            usage: {
-              completion_tokens: chunk.totalUsage.outputTokens || 0,
-              prompt_tokens: chunk.totalUsage.inputTokens || 0,
-              total_tokens: chunk.totalUsage.totalTokens || 0
-            },
-            metrics: chunk.totalUsage
-              ? {
-                  completion_tokens: chunk.totalUsage.outputTokens || 0,
-                  time_completion_millsec: 0
-                }
-              : undefined
+            ...baseResponse,
+            usage: { ...usage },
+            metrics: metrics ? { ...metrics } : undefined
           }
         })
+        this.resetTimingState()
         break
+      }
 
       // === 源和文件相关事件 ===
       case 'source':
@@ -349,6 +362,34 @@ export class AiSdkToChunkAdapter {
       default:
     }
   }
+
+  private buildMetrics(totalUsage?: {
+    inputTokens?: number | null
+    outputTokens?: number | null
+    totalTokens?: number | null
+  }) {
+    if (!totalUsage) {
+      return undefined
+    }
+
+    const completionTokens = totalUsage.outputTokens ?? 0
+    const now = Date.now()
+    const start = this.responseStartTimestamp ?? now
+    const firstToken = this.firstTokenTimestamp
+    const timeFirstToken = Math.max(firstToken != null ? firstToken - start : 0, 0)
+    const baseForCompletion = firstToken ?? start
+    let timeCompletion = Math.max(now - baseForCompletion, 0)
+
+    if (timeCompletion === 0 && completionTokens > 0) {
+      timeCompletion = 1
+    }
+
+    return {
+      completion_tokens: completionTokens,
+      time_first_token_millsec: timeFirstToken,
+      time_completion_millsec: timeCompletion
+    }
+  }
 }
 
 export default AiSdkToChunkAdapter

src/renderer/src/aiCore/index_new.ts

@@ -14,6 +14,7 @@ import { addSpan, endSpan } from '@renderer/services/SpanManagerService'
 import { StartSpanParams } from '@renderer/trace/types/ModelSpanEntity'
 import type { Assistant, GenerateImageParams, Model, Provider } from '@renderer/types'
 import type { AiSdkModel, StreamTextParams } from '@renderer/types/aiCoreTypes'
+import { buildClaudeCodeSystemModelMessage } from '@shared/anthropic'
 import { type ImageModel, type LanguageModel, type Provider as AiSdkProvider, wrapLanguageModel } from 'ai'
 
 import AiSdkToChunkAdapter from './chunk/AiSdkToChunkAdapter'
@@ -21,7 +22,6 @@ import LegacyAiProvider from './legacy/index'
 import { CompletionsParams, CompletionsResult } from './legacy/middleware/schemas'
 import { AiSdkMiddlewareConfig, buildAiSdkMiddlewares } from './middleware/AiSdkMiddlewareBuilder'
 import { buildPlugins } from './plugins/PluginBuilder'
-import { buildClaudeCodeSystemMessage } from './provider/config/anthropic'
 import { createAiSdkProvider } from './provider/factory'
 import {
   getActualProvider,
@@ -122,13 +122,9 @@ export default class ModernAiProvider {
     }
 
     if (this.actualProvider.id === 'anthropic' && this.actualProvider.authType === 'oauth') {
-      const claudeCodeSystemMessage = buildClaudeCodeSystemMessage(params.system)
+      const claudeCodeSystemMessage = buildClaudeCodeSystemModelMessage(params.system)
       params.system = undefined // 清除原有system，避免重复
-      if (Array.isArray(params.messages)) {
-        params.messages = [...claudeCodeSystemMessage, ...params.messages]
-      } else {
-        params.messages = claudeCodeSystemMessage
-      }
+      params.messages = [...claudeCodeSystemMessage, ...(params.messages || [])]
     }
 
     if (config.topicId && getEnableDeveloperMode()) {

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

@@ -12,6 +12,7 @@ import { VertexAPIClient } from './gemini/VertexAPIClient'
 import { NewAPIClient } from './newapi/NewAPIClient'
 import { OpenAIAPIClient } from './openai/OpenAIApiClient'
 import { OpenAIResponseAPIClient } from './openai/OpenAIResponseAPIClient'
+import { OVMSClient } from './ovms/OVMSClient'
 import { PPIOAPIClient } from './ppio/PPIOAPIClient'
 import { ZhipuAPIClient } from './zhipu/ZhipuAPIClient'
 
@@ -63,6 +64,12 @@ export class ApiClientFactory {
       return instance
     }
 
+    if (provider.id === 'ovms') {
+      logger.debug(`Creating OVMSClient for provider: ${provider.id}`)
+      instance = new OVMSClient(provider) as BaseApiClient
+      return instance
+    }
+
     // 然后检查标准的 Provider Type
     switch (provider.type) {
       case 'openai':

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

@@ -0,0 +1,56 @@
+import { loggerService } from '@logger'
+import { isSupportedModel } from '@renderer/config/models'
+import { objectKeys, Provider } from '@renderer/types'
+import OpenAI from 'openai'
+
+import { OpenAIAPIClient } from '../openai/OpenAIApiClient'
+
+const logger = loggerService.withContext('OVMSClient')
+
+export class OVMSClient extends OpenAIAPIClient {
+  constructor(provider: Provider) {
+    super(provider)
+  }
+
+  override async listModels(): Promise<OpenAI.Models.Model[]> {
+    try {
+      const sdk = await this.getSdkInstance()
+
+      const chatModelsResponse = await sdk.request({
+        method: 'get',
+        path: '../v1/config'
+      })
+      logger.debug(`Chat models response: ${JSON.stringify(chatModelsResponse)}`)
+
+      // Parse the config response to extract model information
+      const config = chatModelsResponse as Record<string, any>
+      const models = objectKeys(config)
+        .map((modelName) => {
+          const modelInfo = config[modelName]
+
+          // Check if model has at least one version with "AVAILABLE" state
+          const hasAvailableVersion = modelInfo?.model_version_status?.some(
+            (versionStatus: any) => versionStatus?.state === 'AVAILABLE'
+          )
+
+          if (hasAvailableVersion) {
+            return {
+              id: modelName,
+              object: 'model' as const,
+              owned_by: 'ovms',
+              created: Date.now()
+            }
+          }
+          return null // Skip models without available versions
+        })
+        .filter(Boolean) // Remove null entries
+      logger.debug(`Processed models: ${JSON.stringify(models)}`)
+
+      // Filter out unsupported models
+      return models.filter((model): model is OpenAI.Models.Model => model !== null && isSupportedModel(model))
+    } catch (error) {
+      logger.error(`Error listing OVMS models: ${error}`)
+      return []
+    }
+  }
+}

src/renderer/src/aiCore/plugins/PluginBuilder.ts

@@ -5,7 +5,6 @@ import { getEnableDeveloperMode } from '@renderer/hooks/useSettings'
 import { Assistant } from '@renderer/types'
 
 import { AiSdkMiddlewareConfig } from '../middleware/AiSdkMiddlewareBuilder'
-import reasoningTimePlugin from './reasoningTimePlugin'
 import { searchOrchestrationPlugin } from './searchOrchestrationPlugin'
 import { createTelemetryPlugin } from './telemetryPlugin'
 
@@ -39,9 +38,9 @@ export function buildPlugins(
   }
 
   // 3. 推理模型时添加推理插件
-  if (middlewareConfig.enableReasoning) {
-    plugins.push(reasoningTimePlugin)
-  }
+  // if (middlewareConfig.enableReasoning) {
+  //   plugins.push(reasoningTimePlugin)
+  // }
 
   // 4. 启用Prompt工具调用时添加工具插件
   if (middlewareConfig.isPromptToolUse) {

src/renderer/src/aiCore/plugins/searchOrchestrationPlugin.ts

@@ -24,8 +24,10 @@ import { generateText } from 'ai'
 import { isEmpty } from 'lodash'
 
 import { MemoryProcessor } from '../../services/MemoryProcessor'
+import { exaSearchTool } from '../tools/ExaSearchTool'
 import { knowledgeSearchTool } from '../tools/KnowledgeSearchTool'
 import { memorySearchTool } from '../tools/MemorySearchTool'
+import { tavilySearchTool } from '../tools/TavilySearchTool'
 import { webSearchToolWithPreExtractedKeywords } from '../tools/WebSearchTool'
 
 const logger = loggerService.withContext('SearchOrchestrationPlugin')
@@ -316,13 +318,28 @@ export const searchOrchestrationPlugin = (assistant: Assistant, topicId: string)
           const needsSearch = analysisResult.websearch.question && analysisResult.websearch.question[0] !== 'not_needed'
 
           if (needsSearch) {
-            // onChunk({ type: ChunkType.EXTERNEL_TOOL_IN_PROGRESS })
-            // logger.info('🌐 Adding web search tool with pre-extracted keywords')
-            params.tools['builtin_web_search'] = webSearchToolWithPreExtractedKeywords(
-              assistant.webSearchProviderId,
-              analysisResult.websearch,
-              context.requestId
-            )
+            // 根据 Provider ID 动态选择工具
+            switch (assistant.webSearchProviderId) {
+              case 'exa':
+                logger.info('🌐 Adding Exa search tool (provider-specific)')
+                // Exa 工具直接接受单个查询字符串，使用第一个问题或合并所有问题
+                params.tools['builtin_exa_search'] = exaSearchTool(context.requestId)
+                break
+              case 'tavily':
+                logger.info('🌐 Adding Tavily search tool (provider-specific)')
+                // Tavily 工具直接接受单个查询字符串
+                params.tools['builtin_tavily_search'] = tavilySearchTool(context.requestId)
+                break
+              default:
+                logger.info('🌐 Adding web search tool with pre-extracted keywords')
+                // 其他 Provider 使用通用的 WebSearchTool
+                params.tools['builtin_web_search'] = webSearchToolWithPreExtractedKeywords(
+                  assistant.webSearchProviderId,
+                  analysisResult.websearch,
+                  context.requestId
+                )
+                break
+            }
           }
         }
 

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

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

src/renderer/src/aiCore/tools/ExaSearchTool.ts

@@ -0,0 +1,166 @@
+import { loggerService } from '@logger'
+import { REFERENCE_PROMPT } from '@renderer/config/prompts'
+import WebSearchService from '@renderer/services/WebSearchService'
+import { ProviderSpecificParams, WebSearchProviderResponse } from '@renderer/types'
+import { ExtractResults } from '@renderer/utils/extract'
+import { type InferToolInput, type InferToolOutput, tool } from 'ai'
+import { z } from 'zod'
+
+const logger = loggerService.withContext('ExaSearchTool')
+
+/**
+ * Exa 专用搜索工具 - 暴露 Exa 的高级搜索能力给 LLM
+ * 支持 Neural Search、Category Filtering、Date Range 等功能
+ */
+export const exaSearchTool = (requestId: string) => {
+  const webSearchProvider = WebSearchService.getWebSearchProvider('exa')
+
+  if (!webSearchProvider) {
+    throw new Error('Exa provider not found or not configured')
+  }
+
+  return tool({
+    name: 'builtin_exa_search',
+    description: `Advanced AI-powered search using Exa.ai with neural understanding and filtering capabilities.
+
+Key Features:
+- Neural Search: AI-powered semantic search that understands intent
+- Search Type: Choose between neural (AI), keyword (traditional), or auto mode
+- Category Filter: Focus on specific content types (company, research paper, news, etc.)
+- Date Range: Filter by publication date
+- Auto-prompt: Let Exa optimize your query automatically
+
+Best for: Research, finding specific types of content, semantic search, and understanding complex queries.`,
+
+    inputSchema: z.object({
+      query: z.string().describe('The search query - be specific and clear'),
+      numResults: z.number().min(1).max(20).optional().describe('Number of results to return (1-20, default: 5)'),
+      type: z
+        .enum(['neural', 'keyword', 'auto', 'fast'])
+        .optional()
+        .describe(
+          'Search type: neural (embeddings-based), keyword (Google-like SERP), auto (default, intelligently combines both), or fast (streamlined versions)'
+        ),
+      category: z
+        .string()
+        .optional()
+        .describe(
+          'Filter by content category: company, research paper, news, github, tweet, movie, song, personal site, pdf, etc.'
+        ),
+      startPublishedDate: z
+        .string()
+        .optional()
+        .describe('Start date filter based on published date in ISO 8601 format (YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ)'),
+      endPublishedDate: z
+        .string()
+        .optional()
+        .describe('End date filter based on published date in ISO 8601 format (YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ)'),
+      startCrawlDate: z
+        .string()
+        .optional()
+        .describe('Start date filter based on crawl date in ISO 8601 format (YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ)'),
+      endCrawlDate: z
+        .string()
+        .optional()
+        .describe('End date filter based on crawl date in ISO 8601 format (YYYY-MM-DD or YYYY-MM-DDTHH:MM:SSZ)'),
+      useAutoprompt: z.boolean().optional().describe('Let Exa optimize your query automatically (recommended: true)')
+    }),
+
+    execute: async (params, { abortSignal }) => {
+      // 构建 provider 特定参数（排除 query 和 numResults，这些由系统控制）
+      const providerParams: ProviderSpecificParams = {
+        exa: {
+          type: params.type,
+          category: params.category,
+          startPublishedDate: params.startPublishedDate,
+          endPublishedDate: params.endPublishedDate,
+          startCrawlDate: params.startCrawlDate,
+          endCrawlDate: params.endCrawlDate,
+          useAutoprompt: params.useAutoprompt
+        }
+      }
+      // 构建 ExtractResults 结构
+      const extractResults: ExtractResults = {
+        websearch: {
+          question: [params.query]
+        }
+      }
+
+      // 统一调用 processWebsearch - 保留所有中间件（时间戳、黑名单、tracing、压缩）
+      const finalResults: WebSearchProviderResponse = await WebSearchService.processWebsearch(
+        webSearchProvider,
+        extractResults,
+        requestId,
+        abortSignal,
+        providerParams
+      )
+
+      logger.info(`Exa search completed: ${finalResults.results.length} results for "${params.query}"`)
+
+      return finalResults
+    },
+
+    toModelOutput: (results) => {
+      let summary = 'No search results found.'
+      if (results.query && results.results.length > 0) {
+        summary = `Found ${results.results.length} relevant sources using Exa AI search. Use [number] format to cite specific information.`
+      }
+
+      const citationData = results.results.map((result, index) => {
+        const citation: any = {
+          number: index + 1,
+          title: result.title,
+          content: result.content,
+          url: result.url
+        }
+
+        // 添加 Exa 特有的元数据
+        if ('favicon' in result && result.favicon) {
+          citation.favicon = result.favicon
+        }
+        if ('author' in result && result.author) {
+          citation.author = result.author
+        }
+        if ('publishedDate' in result && result.publishedDate) {
+          citation.publishedDate = result.publishedDate
+        }
+        if ('score' in result && result.score !== undefined) {
+          citation.score = result.score
+        }
+        if ('highlights' in result && result.highlights) {
+          citation.highlights = result.highlights
+        }
+
+        return citation
+      })
+
+      // 使用 REFERENCE_PROMPT 格式化引用
+      const referenceContent = `\`\`\`json\n${JSON.stringify(citationData, null, 2)}\n\`\`\``
+      const fullInstructions = REFERENCE_PROMPT.replace(
+        '{question}',
+        "Based on the Exa search results, please answer the user's question with proper citations."
+      ).replace('{references}', referenceContent)
+
+      return {
+        type: 'content',
+        value: [
+          {
+            type: 'text',
+            text: 'Exa AI Search: Neural search with semantic understanding and rich metadata (author, publish date, highlights).'
+          },
+          {
+            type: 'text',
+            text: summary
+          },
+          {
+            type: 'text',
+            text: fullInstructions
+          }
+        ]
+      }
+    }
+  })
+}
+
+export type ExaSearchToolOutput = InferToolOutput<ReturnType<typeof exaSearchTool>>
+export type ExaSearchToolInput = InferToolInput<ReturnType<typeof exaSearchTool>>

src/renderer/src/aiCore/tools/TavilySearchTool.ts

@@ -0,0 +1,161 @@
+import { loggerService } from '@logger'
+import { REFERENCE_PROMPT } from '@renderer/config/prompts'
+import WebSearchService from '@renderer/services/WebSearchService'
+import { ProviderSpecificParams, WebSearchProviderResponse } from '@renderer/types'
+import { ExtractResults } from '@renderer/utils/extract'
+import { type InferToolInput, type InferToolOutput, tool } from 'ai'
+import { z } from 'zod'
+
+const logger = loggerService.withContext('TavilySearchTool')
+
+/**
+ * Tavily 专用搜索工具 - 暴露 Tavily 的高级搜索能力给 LLM
+ * 支持 AI-powered answers、Search depth control、Topic filtering 等功能
+ */
+export const tavilySearchTool = (requestId: string) => {
+  const webSearchProvider = WebSearchService.getWebSearchProvider('tavily')
+
+  if (!webSearchProvider) {
+    throw new Error('Tavily provider not found or not configured')
+  }
+
+  return tool({
+    name: 'builtin_tavily_search',
+    description: `AI-powered search using Tavily with direct answers and comprehensive content extraction.
+
+Key Features:
+- Direct AI Answer: Get a concise, factual answer extracted from search results
+- Search Depth: Choose between basic (fast) or advanced (comprehensive) search
+- Topic Focus: Filter by general, news, or finance topics
+- Full Content: Access complete webpage content, not just snippets
+- Rich Media: Optionally include relevant images from search results
+
+Best for: Quick factual answers, news monitoring, financial research, and comprehensive content analysis.`,
+
+    inputSchema: z.object({
+      query: z.string().describe('The search query - be specific and clear'),
+      maxResults: z
+        .number()
+        .min(1)
+        .max(20)
+        .optional()
+        .describe('Maximum number of results to return (1-20, default: 5)'),
+      topic: z
+        .enum(['general', 'news', 'finance'])
+        .optional()
+        .describe('Topic filter: general (default), news (latest news), or finance (financial/market data)'),
+      searchDepth: z
+        .enum(['basic', 'advanced'])
+        .optional()
+        .describe('Search depth: basic (faster, top results) or advanced (slower, more comprehensive)'),
+      includeAnswer: z
+        .boolean()
+        .optional()
+        .describe('Include AI-generated direct answer extracted from results (default: true)'),
+      includeRawContent: z
+        .boolean()
+        .optional()
+        .describe('Include full webpage content instead of just snippets (default: true)'),
+      includeImages: z.boolean().optional().describe('Include relevant images from search results (default: false)')
+    }),
+
+    execute: async (params, { abortSignal }) => {
+      try {
+        // 构建 provider 特定参数
+        const providerParams: ProviderSpecificParams = {
+          tavily: {
+            topic: params.topic,
+            searchDepth: params.searchDepth,
+            includeAnswer: params.includeAnswer,
+            includeRawContent: params.includeRawContent,
+            includeImages: params.includeImages
+          }
+        }
+
+        // 构建 ExtractResults 结构
+        const extractResults: ExtractResults = {
+          websearch: {
+            question: [params.query]
+          }
+        }
+
+        // 统一调用 processWebsearch - 保留所有中间件（时间戳、黑名单、tracing、压缩）
+        const finalResults: WebSearchProviderResponse = await WebSearchService.processWebsearch(
+          webSearchProvider,
+          extractResults,
+          requestId,
+          abortSignal,
+          providerParams
+        )
+
+        logger.info(`Tavily search completed: ${finalResults.results.length} results for "${params.query}"`)
+
+        return finalResults
+      } catch (error) {
+        if (error instanceof DOMException && error.name === 'AbortError') {
+          logger.info('Tavily search aborted')
+          throw error
+        }
+        logger.error('Tavily search failed:', error as Error)
+        throw new Error(`Tavily search failed: ${error instanceof Error ? error.message : 'Unknown error'}`)
+      }
+    },
+
+    toModelOutput: (results) => {
+      let summary = 'No search results found.'
+      if (results.query && results.results.length > 0) {
+        summary = `Found ${results.results.length} relevant sources using Tavily AI search. Use [number] format to cite specific information.`
+      }
+
+      const citationData = results.results.map((result, index) => {
+        const citation: any = {
+          number: index + 1,
+          title: result.title,
+          content: result.content,
+          url: result.url
+        }
+
+        // 添加 Tavily 特有的元数据
+        if ('answer' in result && result.answer) {
+          citation.answer = result.answer // Tavily 的直接答案
+        }
+        if ('images' in result && result.images && result.images.length > 0) {
+          citation.images = result.images // Tavily 的图片
+        }
+        if ('score' in result && result.score !== undefined) {
+          citation.score = result.score
+        }
+
+        return citation
+      })
+
+      // 使用 REFERENCE_PROMPT 格式化引用
+      const referenceContent = `\`\`\`json\n${JSON.stringify(citationData, null, 2)}\n\`\`\``
+      const fullInstructions = REFERENCE_PROMPT.replace(
+        '{question}',
+        "Based on the Tavily search results, please answer the user's question with proper citations."
+      ).replace('{references}', referenceContent)
+
+      return {
+        type: 'content',
+        value: [
+          {
+            type: 'text',
+            text: 'Tavily AI Search: AI-powered with direct answers, full content extraction, and optional image results.'
+          },
+          {
+            type: 'text',
+            text: summary
+          },
+          {
+            type: 'text',
+            text: fullInstructions
+          }
+        ]
+      }
+    }
+  })
+}
+
+export type TavilySearchToolOutput = InferToolOutput<ReturnType<typeof tavilySearchTool>>
+export type TavilySearchToolInput = InferToolInput<ReturnType<typeof tavilySearchTool>>

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

@@ -40,7 +40,7 @@ You can use this tool as-is to search with the prepared queries, or provide addi
         .describe('Optional additional context, keywords, or specific focus to enhance the search')
     }),
 
-    execute: async ({ additionalContext }) => {
+    execute: async ({ additionalContext }, { abortSignal }) => {
       let finalQueries = [...extractedKeywords.question]
 
       if (additionalContext?.trim()) {
@@ -67,7 +67,15 @@ You can use this tool as-is to search with the prepared queries, or provide addi
           links: extractedKeywords.links
         }
       }
-      searchResults = await WebSearchService.processWebsearch(webSearchProvider!, extractResults, requestId)
+      // abortSignal?.addEventListener('abort', () => {
+      //   console.log('tool_call_abortSignal', abortSignal?.aborted)
+      // })
+      searchResults = await WebSearchService.processWebsearch(
+        webSearchProvider!,
+        extractResults,
+        requestId,
+        abortSignal
+      )
 
       return searchResults
     },

src/renderer/src/components/CodeEditor/index.tsx

@@ -75,10 +75,15 @@ export interface CodeEditorProps {
   /** CSS class name appended to the default `code-editor` class. */
   className?: string
   /**
-   * Whether the editor is editable.
+   * Whether the editor view is editable.
    * @default true
    */
   editable?: boolean
+  /**
+   * Set the editor state to read only but keep some user interactions, e.g., keymaps.
+   * @default false
+   */
+  readOnly?: boolean
   /**
    * Whether the editor is expanded.
    * If true, the height and maxHeight props are ignored.
@@ -114,6 +119,7 @@ const CodeEditor = ({
   style,
   className,
   editable = true,
+  readOnly = false,
   expanded = true,
   wrapped = true
 }: CodeEditorProps) => {
@@ -189,6 +195,7 @@ const CodeEditor = ({
       maxHeight={expanded ? undefined : maxHeight}
       minHeight={minHeight}
       editable={editable}
+      readOnly={readOnly}
       // @ts-ignore 强制使用，见 react-codemirror 的 Example.tsx
       theme={activeCmTheme}
       extensions={customExtensions}

src/renderer/src/components/HorizontalScrollContainer/index.tsx

@@ -1,3 +1,4 @@
+import { cn } from '@heroui/react'
 import Scrollbar from '@renderer/components/Scrollbar'
 import { ChevronRight } from 'lucide-react'
 import { useEffect, useRef, useState } from 'react'
@@ -17,6 +18,10 @@ export interface HorizontalScrollContainerProps {
   dependencies?: readonly unknown[]
   scrollDistance?: number
   className?: string
+  classNames?: {
+    container?: string
+    content?: string
+  }
   gap?: string
   expandable?: boolean
 }
@@ -26,6 +31,7 @@ const HorizontalScrollContainer: React.FC<HorizontalScrollContainerProps> = ({
   dependencies = [],
   scrollDistance = 200,
   className,
+  classNames,
   gap = '8px',
   expandable = false
 }) => {
@@ -95,11 +101,16 @@ const HorizontalScrollContainer: React.FC<HorizontalScrollContainerProps> = ({
 
   return (
     <Container
-      className={className}
+      className={cn(className, classNames?.container)}
       $expandable={expandable}
       $disableHoverButton={isScrolledToEnd}
       onClick={expandable ? handleContainerClick : undefined}>
-      <ScrollContent ref={scrollRef} $gap={gap} $isExpanded={isExpanded} $expandable={expandable}>
+      <ScrollContent
+        ref={scrollRef}
+        $gap={gap}
+        $isExpanded={isExpanded}
+        $expandable={expandable}
+        className={cn(classNames?.content)}>
         {children}
       </ScrollContent>
       {canScroll && !isExpanded && !isScrolledToEnd && (

src/renderer/src/components/ObsidianExportDialog.tsx

@@ -38,6 +38,7 @@ interface PopupContainerProps {
   message?: Message
   messages?: Message[]
   topic?: Topic
+  rawContent?: string
 }
 
 // 转换文件信息数组为树形结构
@@ -140,7 +141,8 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
   resolve,
   message,
   messages,
-  topic
+  topic,
+  rawContent
 }) => {
   const defaultObsidianVault = store.getState().settings.defaultObsidianVault
   const [state, setState] = useState({
@@ -229,7 +231,9 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
       return
     }
     let markdown = ''
-    if (topic) {
+    if (rawContent) {
+      markdown = rawContent
+    } else if (topic) {
       markdown = await topicToMarkdown(topic, exportReasoning)
     } else if (messages && messages.length > 0) {
       markdown = messagesToMarkdown(messages, exportReasoning)
@@ -299,7 +303,6 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
       }
     }
   }
-
   return (
     <Modal
       title={i18n.t('chat.topics.export.obsidian_atributes')}
@@ -410,9 +413,11 @@ const PopupContainer: React.FC<PopupContainerProps> = ({
             </Option>
           </Select>
         </Form.Item>
-        <Form.Item label={i18n.t('chat.topics.export.obsidian_reasoning')}>
-          <Switch checked={exportReasoning} onChange={setExportReasoning} />
-        </Form.Item>
+        {!rawContent && (
+          <Form.Item label={i18n.t('chat.topics.export.obsidian_reasoning')}>
+            <Switch checked={exportReasoning} onChange={setExportReasoning} />
+          </Form.Item>
+        )}
       </Form>
     </Modal>
   )

src/renderer/src/components/Popups/ObsidianExportPopup.tsx

@@ -9,6 +9,7 @@ interface ObsidianExportOptions {
   topic?: Topic
   message?: Message
   messages?: Message[]
+  rawContent?: string
 }
 
 export default class ObsidianExportPopup {
@@ -24,6 +25,7 @@ export default class ObsidianExportPopup {
           topic={options.topic}
           message={options.message}
           messages={options.messages}
+          rawContent={options.rawContent}
           obsidianTags={''}
           open={true}
           resolve={(v) => {

src/renderer/src/components/Popups/TextFilePreview.tsx

@@ -55,12 +55,15 @@ const PopupContainer: React.FC<Props> = ({ text, title, extension, resolve }) =>
       footer={null}>
       {extension !== undefined ? (
         <Editor
-          editable={false}
+          readOnly={true}
           expanded={false}
           height="100%"
           style={{ height: '100%' }}
           value={text}
           language={extension}
+          options={{
+            keymap: true
+          }}
         />
       ) : (
         <Text>{text}</Text>

src/renderer/src/components/RichEditor/index.tsx

@@ -48,7 +48,8 @@ const RichEditor = ({
   enableContentSearch = false,
   isFullWidth = false,
   fontFamily = 'default',
-  fontSize = 16
+  fontSize = 16,
+  enableSpellCheck = false
   // toolbarItems: _toolbarItems // TODO: Implement custom toolbar items
 }: RichEditorProps & { ref?: React.RefObject<RichEditorRef | null> }) => {
   // Use the rich editor hook for complete editor management
@@ -71,6 +72,7 @@ const RichEditor = ({
     onBlur,
     placeholder,
     editable,
+    enableSpellCheck,
     scrollParent: () => scrollContainerRef.current,
     onShowTableActionMenu: ({ position, actions }) => {
       const iconMap: Record<string, React.ReactNode> = {

src/renderer/src/components/RichEditor/styles.ts

@@ -14,6 +14,31 @@ export const RichEditorWrapper = styled.div<{
   border-radius: 6px;
   background: var(--color-background);
   overflow-y: hidden;
+  .ProseMirror table,
+  .tiptap table {
+    table-layout: auto !important;
+  }
+
+  .ProseMirror table th,
+  .ProseMirror table td,
+  .tiptap th,
+  .tiptap td {
+    white-space: normal !important;
+    word-wrap: break-word !important;
+    word-break: break-word !important;
+    overflow-wrap: break-word !important;
+    overflow: visible !important;
+    text-overflow: clip !important;
+  }
+
+  .ProseMirror table th > *,
+  .ProseMirror table td > *,
+  .tiptap td > *,
+  .tiptap th > * {
+    white-space: normal !important;
+    overflow: visible !important;
+    text-overflow: clip !important;
+  }
   width: ${({ $isFullWidth }) => ($isFullWidth ? '100%' : '60%')};
   margin: ${({ $isFullWidth }) => ($isFullWidth ? '0' : '0 auto')};
   font-family: ${({ $fontFamily }) => ($fontFamily === 'serif' ? 'var(--font-family-serif)' : 'var(--font-family)')};
@@ -21,6 +46,7 @@ export const RichEditorWrapper = styled.div<{
 
   ${({ $minHeight }) => $minHeight && `min-height: ${$minHeight}px;`}
   ${({ $maxHeight }) => $maxHeight && `max-height: ${$maxHeight}px;`}
+
 `
 
 export const ToolbarWrapper = styled.div`

src/renderer/src/components/RichEditor/types.ts

@@ -50,6 +50,8 @@ export interface RichEditorProps {
   fontFamily?: 'default' | 'serif'
   /** Font size in pixels */
   fontSize?: number
+  /** Whether to enable spell check */
+  enableSpellCheck?: boolean
 }
 
 export interface ToolbarItem {

src/renderer/src/components/RichEditor/useRichEditor.ts

@@ -57,6 +57,8 @@ export interface UseRichEditorOptions {
   editable?: boolean
   /** Whether to enable table of contents functionality */
   enableTableOfContents?: boolean
+  /** Whether to enable spell check */
+  enableSpellCheck?: boolean
   /** Show table action menu (row/column) with concrete actions and position */
   onShowTableActionMenu?: (payload: {
     type: 'row' | 'column'
@@ -126,6 +128,7 @@ export const useRichEditor = (options: UseRichEditorOptions = {}): UseRichEditor
     previewLength = 50,
     placeholder = '',
     editable = true,
+    enableSpellCheck = false,
     onShowTableActionMenu,
     scrollParent
   } = options
@@ -410,7 +413,9 @@ export const useRichEditor = (options: UseRichEditorOptions = {}): UseRichEditor
         // Allow text selection even when not editable
         style: editable
           ? ''
-          : 'user-select: text; -webkit-user-select: text; -moz-user-select: text; -ms-user-select: text;'
+          : 'user-select: text; -webkit-user-select: text; -moz-user-select: text; -ms-user-select: text;',
+        // Set spellcheck attribute on the contenteditable element
+        spellcheck: enableSpellCheck ? 'true' : 'false'
       }
     },
     onUpdate: ({ editor }) => {

src/renderer/src/components/Tab/TabContainer.tsx

@@ -237,7 +237,17 @@ const TabsContainer: React.FC<TabsContainerProps> = ({ children }) => {
             onSortEnd={onSortEnd}
             className="tabs-sortable"
             renderItem={(tab) => (
-              <Tab key={tab.id} active={tab.id === activeTabId} onClick={() => handleTabClick(tab)}>
+              <Tab
+                key={tab.id}
+                active={tab.id === activeTabId}
+                onClick={() => handleTabClick(tab)}
+                onAuxClick={(e) => {
+                  if (e.button === 1 && tab.id !== 'home') {
+                    e.preventDefault()
+                    e.stopPropagation()
+                    closeTab(tab.id)
+                  }
+                }}>
                 <TabHeader>
                   {tab.id && <TabIcon>{getTabIcon(tab.id, minapps, minAppsCache)}</TabIcon>}
                   <TabTitle>{getTabTitle(tab.id)}</TabTitle>

src/renderer/src/config/agent.ts

@@ -11,7 +11,7 @@ export const DEFAULT_CLAUDE_CODE_CONFIG: Omit<AgentBase, 'model'> = {
   ...DEFAULT_AGENT_CONFIG
 } as const
 
-export const getAgentDefaultAvatar = (type: AgentType): string => {
+export const getAgentTypeAvatar = (type: AgentType): string => {
   switch (type) {
     case 'claude-code':
       return ClaudeAvatar

src/renderer/src/config/minapps.ts

@@ -145,7 +145,7 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
   {
     id: 'dashscope',
     name: i18n.t('minapps.qwen'),
-    url: 'https://tongyi.aliyun.com/qianwen/',
+    url: 'https://www.tongyi.com/',
     logo: QwenModelLogo
   },
   {

src/renderer/src/config/models/default.ts

@@ -260,6 +260,7 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
     { id: 'deepseek-r1', name: 'DeepSeek-R1', provider: 'burncloud', group: 'deepseek-ai' },
     { id: 'deepseek-v3', name: 'DeepSeek-V3', provider: 'burncloud', group: 'deepseek-ai' }
   ],
+  ovms: [],
   ollama: [],
   lmstudio: [],
   silicon: [
@@ -429,6 +430,12 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
     }
   ],
   anthropic: [
+    {
+      id: 'claude-sonnet-4-5-20250929',
+      provider: 'anthropic',
+      name: 'Claude Sonnet 4.5',
+      group: 'Claude 4.5'
+    },
     {
       id: 'claude-sonnet-4-20250514',
       provider: 'anthropic',
@@ -697,6 +704,12 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
       name: 'GLM-4.5-Flash',
       group: 'GLM-4.5'
     },
+    {
+      id: 'glm-4.6',
+      provider: 'zhipu',
+      name: 'GLM-4.6',
+      group: 'GLM-4.6'
+    },
     {
       id: 'glm-4.5',
       provider: 'zhipu',
@@ -1804,5 +1817,19 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
       provider: 'aionly',
       group: 'gemini'
     }
+  ],
+  longcat: [
+    {
+      id: 'LongCat-Flash-Chat',
+      name: 'LongCat Flash Chat',
+      provider: 'longcat',
+      group: 'LongCat'
+    },
+    {
+      id: 'LongCat-Flash-Thinking',
+      name: 'LongCat Flash Thinking',
+      provider: 'longcat',
+      group: 'LongCat'
+    }
   ]
 }

src/renderer/src/config/models/logo.ts

@@ -61,6 +61,7 @@ import ChatGPTImageModelLogo from '@renderer/assets/images/models/gpt_image_1.pn
 import ChatGPTo1ModelLogo from '@renderer/assets/images/models/gpt_o1.png'
 import GPT5ModelLogo from '@renderer/assets/images/models/gpt-5.png'
 import GPT5ChatModelLogo from '@renderer/assets/images/models/gpt-5-chat.png'
+import GPT5CodexModelLogo from '@renderer/assets/images/models/gpt-5-codex.png'
 import GPT5MiniModelLogo from '@renderer/assets/images/models/gpt-5-mini.png'
 import GPT5NanoModelLogo from '@renderer/assets/images/models/gpt-5-nano.png'
 import GrokModelLogo from '@renderer/assets/images/models/grok.png'
@@ -162,6 +163,7 @@ export function getModelLogo(modelId: string) {
     return undefined
   }
 
+  // key is regex
   const logoMap = {
     pixtral: isLight ? PixtralModelLogo : PixtralModelLogoDark,
     jina: isLight ? JinaModelLogo : JinaModelLogoDark,
@@ -177,6 +179,7 @@ export function getModelLogo(modelId: string) {
     'gpt-5-mini': GPT5MiniModelLogo,
     'gpt-5-nano': GPT5NanoModelLogo,
     'gpt-5-chat': GPT5ChatModelLogo,
+    'gpt-5-codex': GPT5CodexModelLogo,
     'gpt-5': GPT5ModelLogo,
     gpts: isLight ? ChatGPT4ModelLogo : ChatGPT4ModelLogoDark,
     'gpt-oss(?:-[\\w-]+)': isLight ? ChatGptModelLogo : ChatGptModelLogoDark,
@@ -286,7 +289,7 @@ export function getModelLogo(modelId: string) {
     longcat: LongCatAppLogo,
     bytedance: BytedanceModelLogo,
     '(V_1|V_1_TURBO|V_2|V_2A|V_2_TURBO|DESCRIBE|UPSCALE)': IdeogramModelLogo
-  }
+  } as const
 
   for (const key in logoMap) {
     const regex = new RegExp(key, 'i')

src/renderer/src/config/models/reasoning.ts

@@ -22,6 +22,7 @@ export const MODEL_SUPPORTED_REASONING_EFFORT: ReasoningEffortConfig = {
   default: ['low', 'medium', 'high'] as const,
   o: ['low', 'medium', 'high'] as const,
   gpt5: ['minimal', 'low', 'medium', 'high'] as const,
+  gpt5_codex: ['low', 'medium', 'high'] as const,
   grok: ['low', 'high'] as const,
   gemini: ['low', 'medium', 'high', 'auto'] as const,
   gemini_pro: ['low', 'medium', 'high', 'auto'] as const,
@@ -40,6 +41,7 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
   default: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.default] as const,
   o: MODEL_SUPPORTED_REASONING_EFFORT.o,
   gpt5: [...MODEL_SUPPORTED_REASONING_EFFORT.gpt5] as const,
+  gpt5_codex: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_codex,
   grok: MODEL_SUPPORTED_REASONING_EFFORT.grok,
   gemini: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini] as const,
   gemini_pro: MODEL_SUPPORTED_REASONING_EFFORT.gemini_pro,
@@ -55,8 +57,13 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
 
 export const getThinkModelType = (model: Model): ThinkingModelType => {
   let thinkingModelType: ThinkingModelType = 'default'
+  const modelId = getLowerBaseModelName(model.id)
   if (isGPT5SeriesModel(model)) {
-    thinkingModelType = 'gpt5'
+    if (modelId.includes('codex')) {
+      thinkingModelType = 'gpt5_codex'
+    } else {
+      thinkingModelType = 'gpt5'
+    }
   } else if (isSupportedReasoningEffortOpenAIModel(model)) {
     thinkingModelType = 'o'
   } else if (isSupportedThinkingTokenGeminiModel(model)) {
@@ -171,9 +178,13 @@ export function isGeminiReasoningModel(model?: Model): boolean {
   return false
 }
 
+// Gemini 支持思考模式的模型正则
+export const GEMINI_THINKING_MODEL_REGEX =
+  /gemini-(?:2\.5.*(?:-latest)?|flash-latest|pro-latest|flash-lite-latest)(?:-[\w-]+)*$/i
+
 export const isSupportedThinkingTokenGeminiModel = (model: Model): boolean => {
   const modelId = getLowerBaseModelName(model.id, '/')
-  if (modelId.includes('gemini-2.5')) {
+  if (GEMINI_THINKING_MODEL_REGEX.test(modelId)) {
     if (modelId.includes('image') || modelId.includes('tts')) {
       return false
     }
@@ -328,14 +339,20 @@ export const isSupportedReasoningEffortPerplexityModel = (model: Model): boolean
 
 export const isSupportedThinkingTokenZhipuModel = (model: Model): boolean => {
   const modelId = getLowerBaseModelName(model.id, '/')
-  return modelId.includes('glm-4.5')
+  return ['glm-4.5', 'glm-4.6'].some((id) => modelId.includes(id))
 }
 
 export const isDeepSeekHybridInferenceModel = (model: Model) => {
   const modelId = getLowerBaseModelName(model.id)
   // deepseek官方使用chat和reasoner做推理控制，其他provider需要单独判断，id可能会有所差别
   // openrouter: deepseek/deepseek-chat-v3.1 不知道会不会有其他provider仿照ds官方分出一个同id的作为非思考模式的模型，这里有风险
-  return /deepseek-v3(?:\.1|-1-\d+)/.test(modelId) || modelId.includes('deepseek-chat-v3.1')
+  // Matches: "deepseek-v3" followed by ".digit" or "-digit".
+  // Optionally, this can be followed by ".alphanumeric_sequence" or "-alphanumeric_sequence"
+  // until the end of the string.
+  // Examples: deepseek-v3.1, deepseek-v3-1, deepseek-v3.1.2, deepseek-v3.1-alpha
+  // Does NOT match: deepseek-v3.123 (missing separator after '1'), deepseek-v3.x (x isn't a digit)
+  // TODO: move to utils and add test cases
+  return /deepseek-v3(?:\.\d|-\d)(?:(\.|-)\w+)?$/.test(modelId) || modelId.includes('deepseek-chat-v3.1')
 }
 
 export const isSupportedThinkingTokenDeepSeekModel = isDeepSeekHybridInferenceModel

src/renderer/src/config/models/vision.ts

@@ -12,6 +12,7 @@ const visionAllowedModels = [
   'gemini-1\\.5',
   'gemini-2\\.0',
   'gemini-2\\.5',
+  'gemini-(flash|pro|flash-lite)-latest',
   'gemini-exp',
   'claude-3',
   'claude-sonnet-4',
@@ -21,7 +22,9 @@ const visionAllowedModels = [
   'qwen-vl',
   'qwen2-vl',
   'qwen2.5-vl',
+  'qwen3-vl',
   'qwen2.5-omni',
+  'qwen3-omni',
   'qvq',
   'internvl2',
   'grok-vision-beta',

src/renderer/src/config/models/websearch.ts

@@ -11,9 +11,12 @@ export const CLAUDE_SUPPORTED_WEBSEARCH_REGEX = new RegExp(
   'i'
 )
 
-export const GEMINI_FLASH_MODEL_REGEX = new RegExp('gemini-.*-flash.*$')
+export const GEMINI_FLASH_MODEL_REGEX = new RegExp('gemini.*-flash.*$')
 
-export const GEMINI_SEARCH_REGEX = new RegExp('gemini-2\\..*', 'i')
+export const GEMINI_SEARCH_REGEX = new RegExp(
+  'gemini-(?:2.*(?:-latest)?|flash-latest|pro-latest|flash-lite-latest)(?:-[\\w-]+)*$',
+  'i'
+)
 
 export const PERPLEXITY_SEARCH_MODELS = [
   'sonar-pro',

src/renderer/src/config/providers.ts

@@ -24,9 +24,11 @@ import GrokProviderLogo from '@renderer/assets/images/providers/grok.png'
 import GroqProviderLogo from '@renderer/assets/images/providers/groq.png'
 import HyperbolicProviderLogo from '@renderer/assets/images/providers/hyperbolic.png'
 import InfiniProviderLogo from '@renderer/assets/images/providers/infini.png'
+import IntelOvmsLogo from '@renderer/assets/images/providers/intel.png'
 import JinaProviderLogo from '@renderer/assets/images/providers/jina.png'
 import LanyunProviderLogo from '@renderer/assets/images/providers/lanyun.png'
 import LMStudioProviderLogo from '@renderer/assets/images/providers/lmstudio.png'
+import LongCatProviderLogo from '@renderer/assets/images/providers/longcat.png'
 import MinimaxProviderLogo from '@renderer/assets/images/providers/minimax.png'
 import MistralProviderLogo from '@renderer/assets/images/providers/mistral.png'
 import ModelScopeProviderLogo from '@renderer/assets/images/providers/modelscope.png'
@@ -73,6 +75,7 @@ export const CHERRYAI_PROVIDER: SystemProvider = {
   type: 'openai',
   apiKey: '',
   apiHost: 'https://api.cherry-ai.com/',
+  anthropicApiHost: 'https://api.cherry-ai.com',
   models: [glm45FlashModel, qwen38bModel],
   isSystem: true,
   enabled: true
@@ -111,6 +114,16 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     isSystem: true,
     enabled: false
   },
+  ovms: {
+    id: 'ovms',
+    name: 'OpenVINO Model Server',
+    type: 'openai',
+    apiKey: '',
+    apiHost: 'http://localhost:8000/v3/',
+    models: SYSTEM_MODELS.ovms,
+    isSystem: true,
+    enabled: false
+  },
   ocoolai: {
     id: 'ocoolai',
     name: 'ocoolAI',
@@ -279,6 +292,7 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     type: 'openai',
     apiKey: '',
     apiHost: 'http://localhost:3000',
+    anthropicApiHost: 'http://localhost:3000',
     models: SYSTEM_MODELS['new-api'],
     isSystem: true,
     enabled: false
@@ -630,6 +644,16 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     models: SYSTEM_MODELS['poe'],
     isSystem: true,
     enabled: false
+  },
+  longcat: {
+    id: 'longcat',
+    name: 'LongCat',
+    type: 'openai',
+    apiKey: '',
+    apiHost: 'https://api.longcat.chat/openai',
+    models: SYSTEM_MODELS.longcat,
+    isSystem: true,
+    enabled: false
   }
 } as const
 
@@ -646,6 +670,7 @@ export const PROVIDER_LOGO_MAP: AtLeast<SystemProviderId, string> = {
   yi: ZeroOneProviderLogo,
   groq: GroqProviderLogo,
   zhipu: ZhipuProviderLogo,
+  ovms: IntelOvmsLogo,
   ollama: OllamaProviderLogo,
   lmstudio: LMStudioProviderLogo,
   moonshot: MoonshotProviderLogo,
@@ -692,7 +717,8 @@ export const PROVIDER_LOGO_MAP: AtLeast<SystemProviderId, string> = {
   'new-api': NewAPIProviderLogo,
   'aws-bedrock': AwsProviderLogo,
   poe: 'poe', // use svg icon component
-  aionly: AiOnlyProviderLogo
+  aionly: AiOnlyProviderLogo,
+  longcat: LongCatProviderLogo
 } as const
 
 export function getProviderLogo(providerId: string) {
@@ -1030,6 +1056,16 @@ export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
       models: 'https://console.groq.com/docs/models'
     }
   },
+  ovms: {
+    api: {
+      url: 'http://localhost:8000/v3/'
+    },
+    websites: {
+      official: 'https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html',
+      docs: 'https://docs.openvino.ai/2025/model-server/ovms_what_is_openvino_model_server.html',
+      models: 'https://www.modelscope.cn/organization/OpenVINO'
+    }
+  },
   ollama: {
     api: {
       url: 'http://localhost:11434'
@@ -1298,6 +1334,17 @@ export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
       docs: 'https://www.aiionly.com/document',
       models: 'https://www.aiionly.com'
     }
+  },
+  longcat: {
+    api: {
+      url: 'https://api.longcat.chat/openai'
+    },
+    websites: {
+      official: 'https://longcat.chat',
+      apiKey: 'https://longcat.chat/platform/api_keys',
+      docs: 'https://longcat.chat/platform/docs/zh/',
+      models: 'https://longcat.chat/platform/docs/zh/APIDocs.html'
+    }
   }
 }
 

src/renderer/src/hooks/useCodeTools.ts

@@ -108,7 +108,11 @@ export const useCodeTools = () => {
   const environmentVariables = codeToolsState?.environmentVariables?.[codeToolsState.selectedCliTool] || ''
 
   // 检查是否可以启动（所有必需字段都已填写）
-  const canLaunch = Boolean(codeToolsState.selectedCliTool && selectedModel && codeToolsState.currentDirectory)
+  const canLaunch = Boolean(
+    codeToolsState.selectedCliTool &&
+      codeToolsState.currentDirectory &&
+      (codeToolsState.selectedCliTool === codeTools.githubCopilotCli || selectedModel)
+  )
 
   return {
     // 状态

src/renderer/src/hooks/useTopic.ts

@@ -48,6 +48,17 @@ export function useActiveTopic(assistantId: string, topic?: Topic) {
     }
   }, [activeTopic?.id, assistant])
 
+  useEffect(() => {
+    if (!assistant?.topics?.length || !activeTopic) {
+      return
+    }
+
+    const latestTopic = assistant.topics.find((item) => item.id === activeTopic.id)
+    if (latestTopic && latestTopic !== activeTopic) {
+      setActiveTopic(latestTopic)
+    }
+  }, [assistant?.topics, activeTopic])
+
   return { activeTopic, setActiveTopic }
 }
 

src/renderer/src/i18n/label.ts

@@ -67,6 +67,7 @@ const providerKeyMap = {
   nvidia: 'provider.nvidia',
   o3: 'provider.o3',
   ocoolai: 'provider.ocoolai',
+  ovms: 'provider.ovms',
   ollama: 'provider.ollama',
   openai: 'provider.openai',
   openrouter: 'provider.openrouter',

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

@@ -449,6 +449,7 @@
     "added": "Added",
     "case_sensitive": "Case Sensitive",
     "collapse": "Collapse",
+    "download": "Download",
     "includes_user_questions": "Include Your Questions",
     "manage": "Manage",
     "select_model": "Select Model",
@@ -1177,6 +1178,9 @@
     },
     "document": "Document",
     "edit": "Edit",
+    "error": {
+      "open_path": "Failed to open path {{path}}"
+    },
     "file": "File",
     "image": "Image",
     "name": "Name",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Go to provider settings"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "Note is empty, cannot generate name",
+      "failed": "Failed to generate note name",
+      "label": "Generate Note Name",
+      "success": "Note name generated successfully"
+    },
     "characters": "Characters",
     "collapse": "Collapse",
     "content_placeholder": "Please enter the note content...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "Update time (oldest first)",
     "sort_updated_desc": "Update time (newest first)",
     "sort_z2a": "File name (Z-A)",
+    "spell_check": "Spell Check",
+    "spell_check_tooltip": "Enable/Disable spell check",
     "star": "Favorite note",
     "starred_notes": "Collected notes",
     "title": "Notes",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Install",
+      "installing": "Installing",
+      "reinstall": "Re-Install",
+      "run": "Run OVMS",
+      "starting": "Starting",
+      "stop": "Stop OVMS",
+      "stopping": "Stopping"
+    },
+    "description": "<div><p>1. Download OV Models.</p><p>2. Add Models in 'Manager'.</p><p>Support Windows Only!</p><p>OVMS Install Path: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Please refer to <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS Guide</a></p></dev>",
+    "download": {
+      "button": "Download",
+      "error": "Download Error",
+      "model_id": {
+        "label": "Model ID:",
+        "model_id_pattern": "Model ID must start with OpenVINO/",
+        "placeholder": "Required e.g. OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Please enter the model ID"
+      },
+      "model_name": {
+        "label": "Model Name:",
+        "placeholder": "Required e.g. Qwen3-8B-int4-ov",
+        "required": "Please enter the model name"
+      },
+      "model_source": "Model Source:",
+      "model_task": "Model Task:",
+      "success": "Download successful",
+      "success_desc": "Model \"{{modelName}}\"-\"{{modelId}}\" downloaded successfully, please go to the OVMS management interface to add the model",
+      "tip": "The model is downloading, sometimes it takes hours. Please be patient...",
+      "title": "Download Intel OpenVINO Model"
+    },
+    "failed": {
+      "install": "Install OVMS failed:",
+      "install_code_100": "Unknown Error",
+      "install_code_101": "Only supports Intel(R) Core(TM) Ultra CPU",
+      "install_code_102": "Only supports Windows",
+      "install_code_103": "Download OVMS runtime failed",
+      "install_code_104": "Uncompress OVMS runtime failed",
+      "install_code_105": "Clean OVMS runtime failed",
+      "run": "Run OVMS failed:",
+      "stop": "Stop OVMS failed:"
+    },
+    "status": {
+      "not_installed": "OVMS is not installed",
+      "not_running": "OVMS is not running",
+      "running": "OVMS is running",
+      "unknown": "OVMS status unknown"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Aspect Ratio",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "PH8",
     "poe": "Poe",

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

@@ -449,6 +449,7 @@
     "added": "已添加",
     "case_sensitive": "区分大小写",
     "collapse": "收起",
+    "download": "下载",
     "includes_user_questions": "包含用户提问",
     "manage": "管理",
     "select_model": "选择模型",
@@ -1177,6 +1178,9 @@
     },
     "document": "文档",
     "edit": "编辑",
+    "error": {
+      "open_path": "无法打开路径: {{path}}"
+    },
     "file": "文件",
     "image": "图片",
     "name": "文件名",
@@ -1916,6 +1920,12 @@
     "provider_settings": "跳转到服务商设置界面"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "笔记为空，无法生成名称",
+      "failed": "生成笔记名称失败",
+      "label": "生成笔记名称",
+      "success": "笔记名称生成成功"
+    },
     "characters": "字符",
     "collapse": "收起",
     "content_placeholder": "请输入笔记内容...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "更新时间（从旧到新）",
     "sort_updated_desc": "更新时间（从新到旧）",
     "sort_z2a": "文件名（Z-A）",
+    "spell_check": "拼写检查",
+    "spell_check_tooltip": "启用/禁用拼写检查",
     "star": "收藏笔记",
     "starred_notes": "收藏的笔记",
     "title": "笔记",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "安装",
+      "installing": "正在安装",
+      "reinstall": "重装",
+      "run": "运行 OVMS",
+      "starting": "启动中",
+      "stop": "停止 OVMS",
+      "stopping": "停止中"
+    },
+    "description": "<div><p>1. 下载 OV 模型.</p><p>2. 在 'Manager' 中添加模型.</p><p>仅支持 Windows!</p><p>OVMS 安装路径: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>请参考 <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS 指南</a></p></dev>",
+    "download": {
+      "button": "下载",
+      "error": "选择失败",
+      "model_id": {
+        "label": "模型 ID",
+        "model_id_pattern": "模型 ID 必须以 OpenVINO/ 开头",
+        "placeholder": "必填，例如 OpenVINO/Qwen3-8B-int4-ov",
+        "required": "请输入模型 ID"
+      },
+      "model_name": {
+        "label": "模型名称",
+        "placeholder": "必填，例如 Qwen3-8B-int4-ov",
+        "required": "请输入模型名称"
+      },
+      "model_source": "模型来源:",
+      "model_task": "模型任务:",
+      "success": "下载成功",
+      "success_desc": "模型\"{{modelName}}\"-\"{{modelId}}\"下载成功，请前往 OVMS 管理界面添加模型",
+      "tip": "模型正在下载，有时需要几个小时。请耐心等待...",
+      "title": "下载 Intel OpenVINO 模型"
+    },
+    "failed": {
+      "install": "安装 OVMS 失败:",
+      "install_code_100": "未知错误",
+      "install_code_101": "仅支持 Intel(R) Core(TM) Ultra CPU",
+      "install_code_102": "仅支持 Windows",
+      "install_code_103": "下载 OVMS runtime 失败",
+      "install_code_104": "解压 OVMS runtime 失败",
+      "install_code_105": "清理 OVMS runtime 失败",
+      "run": "运行 OVMS 失败:",
+      "stop": "停止 OVMS 失败:"
+    },
+    "status": {
+      "not_installed": "OVMS 未安装",
+      "not_running": "OVMS 未运行",
+      "running": "OVMS 正在运行",
+      "unknown": "OVMS 状态未知"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "画幅比例",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "PH8 大模型开放平台",
     "poe": "Poe",

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

@@ -449,6 +449,7 @@
     "added": "已新增",
     "case_sensitive": "區分大小寫",
     "collapse": "折疊",
+    "download": "下載",
     "includes_user_questions": "包含使用者提問",
     "manage": "管理",
     "select_model": "選擇模型",
@@ -1036,7 +1037,7 @@
     "success": "成功",
     "swap": "交換",
     "topics": "話題",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Unknown",
     "unnamed": "未命名",
     "update_success": "更新成功",
     "upload_files": "上傳檔案",
@@ -1177,6 +1178,9 @@
     },
     "document": "文件",
     "edit": "編輯",
+    "error": {
+      "open_path": "無法開啟路徑: {{path}}"
+    },
     "file": "檔案",
     "image": "圖片",
     "name": "名稱",
@@ -1916,6 +1920,12 @@
     "provider_settings": "跳轉到服務商設置界面"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "筆記為空，無法生成名稱",
+      "failed": "生成筆記名稱失敗",
+      "label": "生成筆記名稱",
+      "success": "筆記名稱生成成功"
+    },
     "characters": "字符",
     "collapse": "收起",
     "content_placeholder": "請輸入筆記內容...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "更新時間（從舊到新）",
     "sort_updated_desc": "更新時間（從新到舊）",
     "sort_z2a": "文件名（Z-A）",
+    "spell_check": "拼寫檢查",
+    "spell_check_tooltip": "啟用/禁用拼寫檢查",
     "star": "收藏筆記",
     "starred_notes": "收藏的筆記",
     "title": "筆記",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "安裝",
+      "installing": "正在安裝",
+      "reinstall": "重新安裝",
+      "run": "執行 OVMS",
+      "starting": "啟動中",
+      "stop": "停止 OVMS",
+      "stopping": "停止中"
+    },
+    "description": "<div><p>1. 下載 OV 模型。</p><p>2. 在 'Manager' 中新增模型。</p><p>僅支援 Windows！</p><p>OVMS 安裝路徑: '%USERPROFILE%\\.cherrystudio\\ovms' 。</p><p>請參考 <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMS 指南</a></p></dev>",
+    "download": {
+      "button": "下載",
+      "error": "選擇失敗",
+      "model_id": {
+        "label": "模型 ID",
+        "model_id_pattern": "模型 ID 必須以 OpenVINO/ 開頭",
+        "placeholder": "必填，例如 OpenVINO/Qwen3-8B-int4-ov",
+        "required": "請輸入模型 ID"
+      },
+      "model_name": {
+        "label": "模型名稱",
+        "placeholder": "必填，例如 Qwen3-8B-int4-ov",
+        "required": "請輸入模型名稱"
+      },
+      "model_source": "模型來源:",
+      "model_task": "模型任務:",
+      "success": "下載成功",
+      "success_desc": "模型\"{{modelName}}\"-\"{{modelId}}\"下載成功，請前往 OVMS 管理界面添加模型",
+      "tip": "模型正在下載，有時需要幾個小時。請耐心等候...",
+      "title": "下載 Intel OpenVINO 模型"
+    },
+    "failed": {
+      "install": "安裝 OVMS 失敗:",
+      "install_code_100": "未知錯誤",
+      "install_code_101": "僅支援 Intel(R) Core(TM) Ultra CPU",
+      "install_code_102": "僅支援 Windows",
+      "install_code_103": "下載 OVMS runtime 失敗",
+      "install_code_104": "解壓 OVMS runtime 失敗",
+      "install_code_105": "清理 OVMS runtime 失敗",
+      "run": "執行 OVMS 失敗:",
+      "stop": "停止 OVMS 失敗:"
+    },
+    "status": {
+      "not_installed": "OVMS 未安裝",
+      "not_running": "OVMS 未執行",
+      "running": "OVMS 正在執行",
+      "unknown": "OVMS 狀態未知"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "畫幅比例",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "PH8 大模型開放平台",
     "poe": "Poe",

src/renderer/src/i18n/translate/el-gr.json

@@ -449,6 +449,7 @@
     "added": "προστέθηκε",
     "case_sensitive": "Διάκριση πεζών/κεφαλαίων",
     "collapse": "συμπεριλάβετε",
+    "download": "Λήψη",
     "includes_user_questions": "Περιλαμβάνει ερωτήσεις χρήστη",
     "manage": "χειριστείτε",
     "select_model": "επιλογή μοντέλου",
@@ -1036,7 +1037,7 @@
     "success": "Επιτυχία",
     "swap": "Εναλλαγή",
     "topics": "Θέματα",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Άγνωστο",
     "unnamed": "Χωρίς όνομα",
     "update_success": "Επιτυχής ενημέρωση",
     "upload_files": "Ανέβασμα αρχείου",
@@ -1177,6 +1178,9 @@
     },
     "document": "Έγγραφο",
     "edit": "Επεξεργασία",
+    "error": {
+      "open_path": "Δεν είναι δυνατό το άνοιγμα της διαδρομής: {{path}}"
+    },
     "file": "Αρχείο",
     "image": "Εικόνα",
     "name": "Όνομα αρχείου",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Μετάβαση στις ρυθμίσεις παρόχου"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "Το σημείωμα είναι κενό, δεν μπορεί να δημιουργηθεί όνομα",
+      "failed": "Αποτυχία δημιουργίας ονόματος σημείωσης",
+      "label": "Δημιουργία ονόματος σημείωσης",
+      "success": "Η δημιουργία του ονόματος σημειώσεων ολοκληρώθηκε με επιτυχία"
+    },
     "characters": "χαρακτήρας",
     "collapse": "σύμπτυξη",
     "content_placeholder": "Παρακαλώ εισαγάγετε το περιεχόμενο των σημειώσεων...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "χρόνος ενημέρωσης (από παλιά στα νέα)",
     "sort_updated_desc": "χρόνος ενημέρωσης (από νεώτερο σε παλαιότερο)",
     "sort_z2a": "όνομα αρχείου (Z-A)",
+    "spell_check": "Έλεγχος ορθογραφίας",
+    "spell_check_tooltip": "Ενεργοποίηση/Απενεργοποίηση ελέγχου ορθογραφίας",
     "star": "Αγαπημένες σημειώσεις",
     "starred_notes": "Σημειώσεις συλλογής",
     "title": "σημειώσεις",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Εγκατάσταση",
+      "installing": "Εγκατάσταση σε εξέλιξη",
+      "reinstall": "Επανεγκατάσταση",
+      "run": "Εκτέλεση OVMS",
+      "starting": "Εκκίνηση σε εξέλιξη",
+      "stop": "Διακοπή OVMS",
+      "stopping": "Διακοπή σε εξέλιξη"
+    },
+    "description": "<div><p>1. Λήψη μοντέλου OV.</p><p>2. Προσθήκη μοντέλου στο 'Manager'.</p><p>Υποστηρίζεται μόνο στα Windows!</p><p>Διαδρομή εγκατάστασης OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Ανατρέξτε στον <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Οδηγό Intel OVMS</a></p></div>",
+    "download": {
+      "button": "Λήψη",
+      "error": "Η επιλογή απέτυχε",
+      "model_id": {
+        "label": "Αναγνωριστικό μοντέλου:",
+        "model_id_pattern": "Το αναγνωριστικό μοντέλου πρέπει να ξεκινά με OpenVINO/",
+        "placeholder": "Απαιτείται, π.χ. OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Παρακαλώ εισάγετε το αναγνωριστικό μοντέλου"
+      },
+      "model_name": {
+        "label": "Όνομα μοντέλου:",
+        "placeholder": "Απαιτείται, π.χ. Qwen3-8B-int4-ov",
+        "required": "Παρακαλώ εισάγετε το όνομα του μοντέλου"
+      },
+      "model_source": "Πηγή μοντέλου:",
+      "model_task": "Εργασία μοντέλου:",
+      "success": "Η λήψη ολοκληρώθηκε με επιτυχία",
+      "success_desc": "Το μοντέλο \"{{modelName}}\"-\"{{modelId}}\" λήφθηκε επιτυχώς, παρακαλώ μεταβείτε στη διεπαφή διαχείρισης OVMS για να προσθέσετε το μοντέλο",
+      "tip": "Το μοντέλο κατεβαίνει, μερικές φορές χρειάζονται αρκετές ώρες. Παρακαλώ περιμένετε υπομονετικά...",
+      "title": "Λήψη μοντέλου Intel OpenVINO"
+    },
+    "failed": {
+      "install": "Η εγκατάσταση του OVMS απέτυχε:",
+      "install_code_100": "Άγνωστο σφάλμα",
+      "install_code_101": "Υποστηρίζεται μόνο σε Intel(R) Core(TM) Ultra CPU",
+      "install_code_102": "Υποστηρίζεται μόνο στα Windows",
+      "install_code_103": "Η λήψη του OVMS runtime απέτυχε",
+      "install_code_104": "Η αποσυμπίεση του OVMS runtime απέτυχε",
+      "install_code_105": "Ο καθαρισμός του OVMS runtime απέτυχε",
+      "run": "Η εκτέλεση του OVMS απέτυχε:",
+      "stop": "Η διακοπή του OVMS απέτυχε:"
+    },
+    "status": {
+      "not_installed": "Το OVMS δεν έχει εγκατασταθεί",
+      "not_running": "Το OVMS δεν εκτελείται",
+      "running": "Το OVMS εκτελείται",
+      "unknown": "Άγνωστη κατάσταση OVMS"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Λόγος διαστάσεων",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "Πλατφόρμα Ανοιχτής Μεγάλης Μοντέλου PH8",
     "poe": "Poe",

src/renderer/src/i18n/translate/es-es.json

@@ -449,6 +449,7 @@
     "added": "Agregado",
     "case_sensitive": "Distingue mayúsculas y minúsculas",
     "collapse": "Colapsar",
+    "download": "Descargar",
     "includes_user_questions": "Incluye preguntas del usuario",
     "manage": "Administrar",
     "select_model": "Seleccionar Modelo",
@@ -1036,7 +1037,7 @@
     "success": "Éxito",
     "swap": "Intercambiar",
     "topics": "Temas",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Desconocido",
     "unnamed": "Sin nombre",
     "update_success": "Actualización exitosa",
     "upload_files": "Subir archivo",
@@ -1177,6 +1178,9 @@
     },
     "document": "Documento",
     "edit": "Editar",
+    "error": {
+      "open_path": "No se puede abrir la ruta: {{path}}"
+    },
     "file": "Archivo",
     "image": "Imagen",
     "name": "Nombre del archivo",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Ir a la configuración del proveedor"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "La nota está vacía, no se puede generar un nombre",
+      "failed": "Error al generar el nombre de la nota",
+      "label": "Generar nombre de nota",
+      "success": "Se ha generado correctamente el nombre de la nota"
+    },
     "characters": "carácter",
     "collapse": "ocultar",
     "content_placeholder": "Introduzca el contenido de la nota...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "Fecha de actualización (de más antigua a más reciente)",
     "sort_updated_desc": "Fecha de actualización (de más nuevo a más antiguo)",
     "sort_z2a": "Nombre de archivo (Z-A)",
+    "spell_check": "comprobación ortográfica",
+    "spell_check_tooltip": "Habilitar/deshabilitar revisión ortográfica",
     "star": "Notas guardadas",
     "starred_notes": "notas guardadas",
     "title": "notas",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Instalar",
+      "installing": "Instalando",
+      "reinstall": "Reinstalar",
+      "run": "Ejecutar OVMS",
+      "starting": "Iniciando",
+      "stop": "Detener OVMS",
+      "stopping": "Deteniendo"
+    },
+    "description": "<div><p>1. Descargar modelo OV.</p><p>2. Agregar modelo en 'Administrador'.</p><p>¡Solo compatible con Windows!</p><p>Ruta de instalación de OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Consulte la <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guía de Intel OVMS</a></p></dev>",
+    "download": {
+      "button": "Descargar",
+      "error": "Selección fallida",
+      "model_id": {
+        "label": "ID del modelo:",
+        "model_id_pattern": "El ID del modelo debe comenzar con OpenVINO/",
+        "placeholder": "Requerido, por ejemplo, OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Por favor, ingrese el ID del modelo"
+      },
+      "model_name": {
+        "label": "Nombre del modelo:",
+        "placeholder": "Requerido, por ejemplo, Qwen3-8B-int4-ov",
+        "required": "Por favor, ingrese el nombre del modelo"
+      },
+      "model_source": "Fuente del modelo:",
+      "model_task": "Tarea del modelo:",
+      "success": "Descarga exitosa",
+      "success_desc": "El modelo \"{{modelName}}\"-\"{{modelId}}\" se descargó exitosamente, por favor vaya a la interfaz de administración de OVMS para agregar el modelo",
+      "tip": "El modelo se está descargando, a veces toma varias horas. Por favor espere pacientemente...",
+      "title": "Descargar modelo Intel OpenVINO"
+    },
+    "failed": {
+      "install": "Error al instalar OVMS:",
+      "install_code_100": "Error desconocido",
+      "install_code_101": "Solo compatible con CPU Intel(R) Core(TM) Ultra",
+      "install_code_102": "Solo compatible con Windows",
+      "install_code_103": "Error al descargar el tiempo de ejecución de OVMS",
+      "install_code_104": "Error al descomprimir el tiempo de ejecución de OVMS",
+      "install_code_105": "Error al limpiar el tiempo de ejecución de OVMS",
+      "run": "Error al ejecutar OVMS:",
+      "stop": "Error al detener OVMS:"
+    },
+    "status": {
+      "not_installed": "OVMS no instalado",
+      "not_running": "OVMS no está en ejecución",
+      "running": "OVMS en ejecución",
+      "unknown": "Estado de OVMS desconocido"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Relación de aspecto",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplejidad",
     "ph8": "Plataforma Abierta de Grandes Modelos PH8",
     "poe": "Poe",

src/renderer/src/i18n/translate/fr-fr.json

@@ -449,6 +449,7 @@
     "added": "Ajouté",
     "case_sensitive": "Respecter la casse",
     "collapse": "Réduire",
+    "download": "Télécharger",
     "includes_user_questions": "Inclure les questions de l'utilisateur",
     "manage": "Gérer",
     "select_model": "Sélectionner le Modèle",
@@ -1036,7 +1037,7 @@
     "success": "Succès",
     "swap": "Échanger",
     "topics": "Sujets",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Inconnu",
     "unnamed": "Sans nom",
     "update_success": "Mise à jour réussie",
     "upload_files": "Uploader des fichiers",
@@ -1177,6 +1178,9 @@
     },
     "document": "Document",
     "edit": "Éditer",
+    "error": {
+      "open_path": "Impossible d'ouvrir le chemin : {{path}}"
+    },
     "file": "Fichier",
     "image": "Image",
     "name": "Nom du fichier",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Aller aux paramètres du fournisseur"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "La note est vide, impossible de générer un nom",
+      "failed": "Échec de la génération du nom de note",
+      "label": "Générer un nom de note",
+      "success": "La génération du nom de note a réussi"
+    },
     "characters": "caractère",
     "collapse": "réduire",
     "content_placeholder": "Veuillez saisir le contenu de la note...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "Heure de mise à jour (du plus ancien au plus récent)",
     "sort_updated_desc": "Date de mise à jour (du plus récent au plus ancien)",
     "sort_z2a": "Nom de fichier (Z-A)",
+    "spell_check": "Vérification orthographique",
+    "spell_check_tooltip": "Activer/Désactiver la vérification orthographique",
     "star": "Notes enregistrées",
     "starred_notes": "notes de collection",
     "title": "notes",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Installer",
+      "installing": "Installation en cours",
+      "reinstall": "Réinstaller",
+      "run": "Exécuter OVMS",
+      "starting": "Démarrage en cours",
+      "stop": "Arrêter OVMS",
+      "stopping": "Arrêt en cours"
+    },
+    "description": "<div><p>1. Télécharger le modèle OV.</p><p>2. Ajouter le modèle dans 'Manager'.</p><p>Uniquement compatible avec Windows !</p><p>Chemin d'installation d'OVMS : '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Veuillez vous référer au <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guide Intel OVMS</a></p></dev>",
+    "download": {
+      "button": "Télécharger",
+      "error": "Échec de la sélection",
+      "model_id": {
+        "label": "ID du modèle :",
+        "model_id_pattern": "L'ID du modèle doit commencer par OpenVINO/",
+        "placeholder": "Requis, par exemple OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Veuillez saisir l'ID du modèle"
+      },
+      "model_name": {
+        "label": "Nom du modèle :",
+        "placeholder": "Requis, par exemple Qwen3-8B-int4-ov",
+        "required": "Veuillez saisir le nom du modèle"
+      },
+      "model_source": "Source du modèle :",
+      "model_task": "Tâche du modèle :",
+      "success": "Téléchargement réussi",
+      "success_desc": "Le modèle \"{{modelName}}\"-\"{{modelId}}\" a été téléchargé avec succès, veuillez vous rendre à l'interface de gestion OVMS pour ajouter le modèle",
+      "tip": "Le modèle est en cours de téléchargement, cela peut parfois prendre plusieurs heures. Veuillez patienter...",
+      "title": "Télécharger le modèle Intel OpenVINO"
+    },
+    "failed": {
+      "install": "Échec de l'installation d'OVMS :",
+      "install_code_100": "Erreur inconnue",
+      "install_code_101": "Uniquement compatible avec les processeurs Intel(R) Core(TM) Ultra",
+      "install_code_102": "Uniquement compatible avec Windows",
+      "install_code_103": "Échec du téléchargement du runtime OVMS",
+      "install_code_104": "Échec de la décompression du runtime OVMS",
+      "install_code_105": "Échec du nettoyage du runtime OVMS",
+      "run": "Échec de l'exécution d'OVMS :",
+      "stop": "Échec de l'arrêt d'OVMS :"
+    },
+    "status": {
+      "not_installed": "OVMS non installé",
+      "not_running": "OVMS n'est pas en cours d'exécution",
+      "running": "OVMS en cours d'exécution",
+      "unknown": "État d'OVMS inconnu"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Format d'image",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexité",
     "ph8": "Plateforme ouverte de grands modèles PH8",
     "poe": "Poe",

src/renderer/src/i18n/translate/ja-jp.json

@@ -449,6 +449,7 @@
     "added": "追加済み",
     "case_sensitive": "大文字と小文字の区別",
     "collapse": "折りたたむ",
+    "download": "ダウンロード",
     "includes_user_questions": "ユーザーからの質問を含む",
     "manage": "管理",
     "select_model": "モデルを選択",
@@ -1036,7 +1037,7 @@
     "success": "成功",
     "swap": "交換",
     "topics": "トピック",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Unknown",
     "unnamed": "無題",
     "update_success": "更新成功",
     "upload_files": "ファイルをアップロードする",
@@ -1177,6 +1178,9 @@
     },
     "document": "ドキュメント",
     "edit": "編集",
+    "error": {
+      "open_path": "パスを開けません: {{path}}"
+    },
     "file": "ファイル",
     "image": "画像",
     "name": "名前",
@@ -1916,6 +1920,12 @@
     "provider_settings": "プロバイダー設定に移動"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "ノートが空です。名前を生成できません。",
+      "failed": "ノート名の生成に失敗しました",
+      "label": "ノート名の生成",
+      "success": "ノート名の生成に成功しました"
+    },
     "characters": "文字",
     "collapse": "閉じる",
     "content_placeholder": "メモの内容を入力してください...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "更新日時（古い順）",
     "sort_updated_desc": "更新日時（新しい順）",
     "sort_z2a": "ファイル名（Z-A）",
+    "spell_check": "スペルチェック",
+    "spell_check_tooltip": "スペルチェックの有効/無効",
     "star": "お気に入りのノート",
     "starred_notes": "収集したノート",
     "title": "ノート",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "インストール",
+      "installing": "インストール中",
+      "reinstall": "再インストール",
+      "run": "OVMSを実行",
+      "starting": "起動中",
+      "stop": "OVMSを停止",
+      "stopping": "停止中"
+    },
+    "description": "<div><p>1. OVモデルをダウンロードします。</p><p>2. 'マネージャー'でモデルを追加します。</p><p>Windowsのみサポート！</p><p>OVMSインストールパス: '%USERPROFILE%\\.cherrystudio\\ovms' 。</p><p>詳細は<a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Intel OVMSガイド</a>をご参照ください。</p></dev>",
+    "download": {
+      "button": "ダウンロード",
+      "error": "ダウンロードエラー",
+      "model_id": {
+        "label": "モデルID",
+        "model_id_pattern": "モデルIDはOpenVINO/で始まる必要があります",
+        "placeholder": "必須 例: OpenVINO/Qwen3-8B-int4-ov",
+        "required": "モデルIDを入力してください"
+      },
+      "model_name": {
+        "label": "モデル名",
+        "placeholder": "必須 例: Qwen3-8B-int4-ov",
+        "required": "モデル名を入力してください"
+      },
+      "model_source": "モデルソース:",
+      "model_task": "モデルタスク:",
+      "success": "ダウンロード成功",
+      "success_desc": "モデル\"{{modelName}}\"-\"{{modelId}}\"ダウンロード成功、OVMS管理インターフェースに移動してモデルを追加してください",
+      "tip": "モデルはダウンロードされていますが、時には数時間かかります。我慢してください...",
+      "title": "Intel OpenVINOモデルをダウンロード"
+    },
+    "failed": {
+      "install": "OVMSのインストールに失敗しました:",
+      "install_code_100": "不明なエラー",
+      "install_code_101": "Intel(R) Core(TM) Ultra CPUのみサポート",
+      "install_code_102": "Windowsのみサポート",
+      "install_code_103": "OVMSランタイムのダウンロードに失敗しました",
+      "install_code_104": "OVMSランタイムの解凍に失敗しました",
+      "install_code_105": "OVMSランタイムのクリーンアップに失敗しました",
+      "run": "OVMSの実行に失敗しました:",
+      "stop": "OVMSの停止に失敗しました:"
+    },
+    "status": {
+      "not_installed": "OVMSはインストールされていません",
+      "not_running": "OVMSは実行されていません",
+      "running": "OVMSは実行中です",
+      "unknown": "OVMSのステータスが不明です"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "画幅比例",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "PH8",
     "poe": "Poe",

src/renderer/src/i18n/translate/pt-pt.json

@@ -449,6 +449,7 @@
     "added": "Adicionado",
     "case_sensitive": "Diferenciar maiúsculas e minúsculas",
     "collapse": "Recolher",
+    "download": "Baixar",
     "includes_user_questions": "Incluir perguntas do usuário",
     "manage": "Gerenciar",
     "select_model": "Selecionar Modelo",
@@ -1036,7 +1037,7 @@
     "success": "Sucesso",
     "swap": "Trocar",
     "topics": "Tópicos",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Desconhecido",
     "unnamed": "Sem nome",
     "update_success": "Atualização bem-sucedida",
     "upload_files": "Carregar arquivo",
@@ -1177,6 +1178,9 @@
     },
     "document": "Documento",
     "edit": "Editar",
+    "error": {
+      "open_path": "Não foi possível abrir o caminho: {{path}}"
+    },
     "file": "Arquivo",
     "image": "Imagem",
     "name": "Nome do Arquivo",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Ir para as configurações do provedor"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "A nota está vazia, não é possível gerar um nome",
+      "failed": "Falha ao gerar o nome da nota",
+      "label": "Gerar nome da nota",
+      "success": "Nome da nota gerado com sucesso"
+    },
     "characters": "caractere",
     "collapse": "[minimizar]",
     "content_placeholder": "Introduza o conteúdo da nota...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "Tempo de atualização (do mais antigo para o mais recente)",
     "sort_updated_desc": "atualização de tempo (do mais novo para o mais antigo)",
     "sort_z2a": "Nome do arquivo (Z-A)",
+    "spell_check": "verificação ortográfica",
+    "spell_check_tooltip": "Ativar/Desativar verificação ortográfica",
     "star": "Notas favoritas",
     "starred_notes": "notas salvas",
     "title": "nota",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Instalar",
+      "installing": "Instalando",
+      "reinstall": "Reinstalar",
+      "run": "Executar OVMS",
+      "starting": "Iniciando",
+      "stop": "Parar OVMS",
+      "stopping": "Parando"
+    },
+    "description": "<div><p>1. Baixe o modelo OV.</p><p>2. Adicione o modelo no 'Gerenciador'.</p><p>Compatível apenas com Windows!</p><p>Caminho de instalação do OVMS: '%USERPROFILE%\\.cherrystudio\\ovms' .</p><p>Consulte o <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>Guia do Intel OVMS</a></p></dev>",
+    "download": {
+      "button": "Baixar",
+      "error": "Falha na seleção",
+      "model_id": {
+        "label": "ID do modelo:",
+        "model_id_pattern": "O ID do modelo deve começar com OpenVINO/",
+        "placeholder": "Obrigatório, por exemplo, OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Por favor, insira o ID do modelo"
+      },
+      "model_name": {
+        "label": "Nome do modelo:",
+        "placeholder": "Obrigatório, por exemplo, Qwen3-8B-int4-ov",
+        "required": "Por favor, insira o nome do modelo"
+      },
+      "model_source": "Fonte do modelo:",
+      "model_task": "Tarefa do modelo:",
+      "success": "Download concluído com sucesso",
+      "success_desc": "O modelo \"{{modelName}}\"-\"{{modelId}}\" foi baixado com sucesso, por favor vá para a interface de gerenciamento OVMS para adicionar o modelo",
+      "tip": "O modelo está sendo baixado, às vezes leva várias horas. Por favor aguarde pacientemente...",
+      "title": "Baixar modelo Intel OpenVINO"
+    },
+    "failed": {
+      "install": "Falha na instalação do OVMS:",
+      "install_code_100": "Erro desconhecido",
+      "install_code_101": "Compatível apenas com CPU Intel(R) Core(TM) Ultra",
+      "install_code_102": "Compatível apenas com Windows",
+      "install_code_103": "Falha ao baixar o tempo de execução do OVMS",
+      "install_code_104": "Falha ao descompactar o tempo de execução do OVMS",
+      "install_code_105": "Falha ao limpar o tempo de execução do OVMS",
+      "run": "Falha ao executar o OVMS:",
+      "stop": "Falha ao parar o OVMS:"
+    },
+    "status": {
+      "not_installed": "OVMS não instalado",
+      "not_running": "OVMS não está em execução",
+      "running": "OVMS em execução",
+      "unknown": "Status do OVMS desconhecido"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Proporção da Imagem",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexidade",
     "ph8": "Plataforma Aberta de Grandes Modelos PH8",
     "poe": "Poe",

src/renderer/src/i18n/translate/ru-ru.json

@@ -449,6 +449,7 @@
     "added": "Добавлено",
     "case_sensitive": "Чувствительность к регистру",
     "collapse": "Свернуть",
+    "download": "Скачать",
     "includes_user_questions": "Включает вопросы пользователей",
     "manage": "Редактировать",
     "select_model": "Выбрать модель",
@@ -1036,7 +1037,7 @@
     "success": "Успешно",
     "swap": "Поменять местами",
     "topics": "Топики",
-    "unknown": "[to be translated]:Unknown",
+    "unknown": "Неизвестно",
     "unnamed": "Без имени",
     "update_success": "Обновление выполнено успешно",
     "upload_files": "Загрузить файл",
@@ -1177,6 +1178,9 @@
     },
     "document": "Документ",
     "edit": "Редактировать",
+    "error": {
+      "open_path": "Не удалось открыть путь: {{path}}"
+    },
     "file": "Файл",
     "image": "Изображение",
     "name": "Имя",
@@ -1916,6 +1920,12 @@
     "provider_settings": "Перейти к настройкам поставщика"
   },
   "notes": {
+    "auto_rename": {
+      "empty_note": "Заметки пусты, имя невозможно сгенерировать",
+      "failed": "Создание названия заметки не удалось",
+      "label": "Создать название заметки",
+      "success": "Имя заметки успешно создано"
+    },
     "characters": "Символы",
     "collapse": "Свернуть",
     "content_placeholder": "Введите содержимое заметки...",
@@ -1997,6 +2007,8 @@
     "sort_updated_asc": "Время обновления (от старого к новому)",
     "sort_updated_desc": "Время обновления (от нового к старому)",
     "sort_z2a": "Имя файла (Я-А)",
+    "spell_check": "Проверка орфографии",
+    "spell_check_tooltip": "Включить/отключить проверку орфографии",
     "star": "Избранные заметки",
     "starred_notes": "Сохраненные заметки",
     "title": "заметки",
@@ -2046,6 +2058,57 @@
     },
     "title": "Ollama"
   },
+  "ovms": {
+    "action": {
+      "install": "Установить",
+      "installing": "Установка",
+      "reinstall": "Переустановить",
+      "run": "Запустить OVMS",
+      "starting": "Запуск",
+      "stop": "Остановить OVMS",
+      "stopping": "Остановка"
+    },
+    "description": "<div><p>1. Загрузите модели OV.</p><p>2. Добавьте модели в 'Менеджер'.</p><p>Поддерживается только Windows!</p><p>Путь установки OVMS: '%USERPROFILE%\\.cherrystudio\\ovms'.</p><p>Пожалуйста, ознакомьтесь с <a href=https://github.com/openvinotoolkit/model_server/blob/c55551763d02825829337b62c2dcef9339706f79/docs/deploying_server_baremetal.md>руководством Intel OVMS</a></p></dev>",
+    "download": {
+      "button": "Скачать",
+      "error": "Ошибка загрузки",
+      "model_id": {
+        "label": "ID модели",
+        "model_id_pattern": "ID модели должен начинаться с OpenVINO/",
+        "placeholder": "Обязательно, например: OpenVINO/Qwen3-8B-int4-ov",
+        "required": "Пожалуйста, введите ID модели"
+      },
+      "model_name": {
+        "label": "Название модели:",
+        "placeholder": "Обязательно, например: Qwen3-8B-int4-ov",
+        "required": "Пожалуйста, введите название модели"
+      },
+      "model_source": "Источник модели:",
+      "model_task": "Задача модели:",
+      "success": "Скачивание успешно",
+      "success_desc": "Модель \"{{modelName}}\"-\"{{modelId}}\" успешно скачана, пожалуйста, перейдите в интерфейс управления OVMS, чтобы добавить модель",
+      "tip": "Модель загружается, иногда это занимает часы. Пожалуйста, будьте терпеливы...",
+      "title": "Скачать модель Intel OpenVINO"
+    },
+    "failed": {
+      "install": "Ошибка установки OVMS:",
+      "install_code_100": "Неизвестная ошибка",
+      "install_code_101": "Поддерживаются только процессоры Intel(R) Core(TM) Ultra CPU",
+      "install_code_102": "Поддерживается только Windows",
+      "install_code_103": "Ошибка загрузки среды выполнения OVMS",
+      "install_code_104": "Ошибка распаковки среды выполнения OVMS",
+      "install_code_105": "Ошибка очистки среды выполнения OVMS",
+      "run": "Ошибка запуска OVMS:",
+      "stop": "Ошибка остановки OVMS:"
+    },
+    "status": {
+      "not_installed": "OVMS не установлен",
+      "not_running": "OVMS не запущен",
+      "running": "OVMS запущен",
+      "unknown": "Статус OVMS неизвестен"
+    },
+    "title": "Intel OVMS"
+  },
   "paintings": {
     "aspect_ratio": "Пропорции изображения",
     "aspect_ratios": {
@@ -2277,6 +2340,7 @@
     "ollama": "Ollama",
     "openai": "OpenAI",
     "openrouter": "OpenRouter",
+    "ovms": "Intel OVMS",
     "perplexity": "Perplexity",
     "ph8": "PH8",
     "poe": "Poe",

src/renderer/src/pages/code/CodeToolsPage.tsx

@@ -98,6 +98,10 @@ const CodeToolsPage: FC = () => {
         return m.id.includes('openai') || OPENAI_CODEX_SUPPORTED_PROVIDERS.includes(m.provider)
       }
 
+      if (selectedCliTool === codeTools.githubCopilotCli) {
+        return false
+      }
+
       if (selectedCliTool === codeTools.qwenCode || selectedCliTool === codeTools.iFlowCli) {
         if (m.supported_endpoint_types) {
           return ['openai', 'openai-response'].some((type) =>
@@ -196,7 +200,7 @@ const CodeToolsPage: FC = () => {
       }
     }
 
-    if (!selectedModel) {
+    if (!selectedModel && selectedCliTool !== codeTools.githubCopilotCli) {
       return { isValid: false, message: t('code.model_required') }
     }
 
@@ -205,6 +209,11 @@ const CodeToolsPage: FC = () => {
 
   // 准备启动环境
   const prepareLaunchEnvironment = async (): Promise<Record<string, string> | null> => {
+    if (selectedCliTool === codeTools.githubCopilotCli) {
+      const userEnv = parseEnvironmentVariables(environmentVariables)
+      return userEnv
+    }
+
     if (!selectedModel) return null
 
     const modelProvider = getProviderByModel(selectedModel)
@@ -229,7 +238,9 @@ const CodeToolsPage: FC = () => {
 
   // 执行启动操作
   const executeLaunch = async (env: Record<string, string>) => {
-    window.api.codeTools.run(selectedCliTool, selectedModel?.id!, currentDirectory, env, {
+    const modelId = selectedCliTool === codeTools.githubCopilotCli ? '' : selectedModel?.id!
+
+    window.api.codeTools.run(selectedCliTool, modelId, currentDirectory, env, {
       autoUpdateToLatest,
       terminal: selectedTerminal
     })
@@ -316,7 +327,12 @@ const CodeToolsPage: FC = () => {
                 banner
                 style={{ borderRadius: 'var(--list-item-border-radius)' }}
                 message={
-                  <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
+                  <div
+                    style={{
+                      display: 'flex',
+                      justifyContent: 'space-between',
+                      alignItems: 'center'
+                    }}>
                     <span>{t('code.bun_required_message')}</span>
                     <Button
                       type="primary"
@@ -345,46 +361,64 @@ const CodeToolsPage: FC = () => {
               />
             </SettingsItem>
 
-            <SettingsItem>
-              <div className="settings-label">
-                {t('code.model')}
-                {selectedCliTool === 'claude-code' && (
-                  <Popover
-                    content={
-                      <div style={{ width: 200 }}>
-                        <div style={{ marginBottom: 8, fontWeight: 500 }}>{t('code.supported_providers')}</div>
-                        <div style={{ display: 'flex', flexDirection: 'column', gap: 8 }}>
-                          {getClaudeSupportedProviders(allProviders).map((provider) => {
-                            return (
-                              <Link
-                                key={provider.id}
-                                style={{ color: 'var(--color-text)', display: 'flex', alignItems: 'center', gap: 4 }}
-                                to={`/settings/provider?id=${provider.id}`}>
-                                <ProviderLogo shape="square" src={getProviderLogo(provider.id)} size={20} />
-                                {getProviderLabel(provider.id)}
-                                <ArrowUpRight size={14} />
-                              </Link>
-                            )
-                          })}
+            {selectedCliTool !== codeTools.githubCopilotCli && (
+              <SettingsItem>
+                <div className="settings-label">
+                  {t('code.model')}
+                  {selectedCliTool === 'claude-code' && (
+                    <Popover
+                      content={
+                        <div style={{ width: 200 }}>
+                          <div style={{ marginBottom: 8, fontWeight: 500 }}>{t('code.supported_providers')}</div>
+                          <div
+                            style={{
+                              display: 'flex',
+                              flexDirection: 'column',
+                              gap: 8
+                            }}>
+                            {getClaudeSupportedProviders(allProviders).map((provider) => {
+                              return (
+                                <Link
+                                  key={provider.id}
+                                  style={{
+                                    color: 'var(--color-text)',
+                                    display: 'flex',
+                                    alignItems: 'center',
+                                    gap: 4
+                                  }}
+                                  to={`/settings/provider?id=${provider.id}`}>
+                                  <ProviderLogo shape="square" src={getProviderLogo(provider.id)} size={20} />
+                                  {getProviderLabel(provider.id)}
+                                  <ArrowUpRight size={14} />
+                                </Link>
+                              )
+                            })}
+                          </div>
                         </div>
-                      </div>
-                    }
-                    trigger="hover"
-                    placement="right">
-                    <HelpCircle size={14} style={{ color: 'var(--color-text-3)', cursor: 'pointer' }} />
-                  </Popover>
-                )}
-              </div>
-              <ModelSelector
-                providers={availableProviders}
-                predicate={modelPredicate}
-                style={{ width: '100%' }}
-                placeholder={t('code.model_placeholder')}
-                value={selectedModel ? getModelUniqId(selectedModel) : undefined}
-                onChange={handleModelChange}
-                allowClear
-              />
-            </SettingsItem>
+                      }
+                      trigger="hover"
+                      placement="right">
+                      <HelpCircle
+                        size={14}
+                        style={{
+                          color: 'var(--color-text-3)',
+                          cursor: 'pointer'
+                        }}
+                      />
+                    </Popover>
+                  )}
+                </div>
+                <ModelSelector
+                  providers={availableProviders}
+                  predicate={modelPredicate}
+                  style={{ width: '100%' }}
+                  placeholder={t('code.model_placeholder')}
+                  value={selectedModel ? getModelUniqId(selectedModel) : undefined}
+                  onChange={handleModelChange}
+                  allowClear
+                />
+              </SettingsItem>
+            )}
 
             <SettingsItem>
               <div className="settings-label">{t('code.working_directory')}</div>
@@ -403,11 +437,27 @@ const CodeToolsPage: FC = () => {
                   options={directories.map((dir) => ({
                     value: dir,
                     label: (
-                      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
-                        <span style={{ flex: 1, overflow: 'hidden', textOverflow: 'ellipsis' }}>{dir}</span>
+                      <div
+                        style={{
+                          display: 'flex',
+                          justifyContent: 'space-between',
+                          alignItems: 'center'
+                        }}>
+                        <span
+                          style={{
+                            flex: 1,
+                            overflow: 'hidden',
+                            textOverflow: 'ellipsis'
+                          }}>
+                          {dir}
+                        </span>
                         <X
                           size={14}
-                          style={{ marginLeft: 8, cursor: 'pointer', color: '#999' }}
+                          style={{
+                            marginLeft: 8,
+                            cursor: 'pointer',
+                            color: '#999'
+                          }}
                           onClick={(e) => handleRemoveDirectory(dir, e)}
                         />
                       </div>
@@ -429,7 +479,14 @@ const CodeToolsPage: FC = () => {
                 rows={2}
                 style={{ fontFamily: 'monospace' }}
               />
-              <div style={{ fontSize: 12, color: 'var(--color-text-3)', marginTop: 4 }}>{t('code.env_vars_help')}</div>
+              <div
+                style={{
+                  fontSize: 12,
+                  color: 'var(--color-text-3)',
+                  marginTop: 4
+                }}>
+                {t('code.env_vars_help')}
+              </div>
             </SettingsItem>
 
             {/* 终端选择 (macOS 和 Windows) */}
@@ -464,7 +521,12 @@ const CodeToolsPage: FC = () => {
                   selectedTerminal !== terminalApps.cmd &&
                   selectedTerminal !== terminalApps.powershell &&
                   selectedTerminal !== terminalApps.windowsTerminal && (
-                    <div style={{ fontSize: 12, color: 'var(--color-text-3)', marginTop: 4 }}>
+                    <div
+                      style={{
+                        fontSize: 12,
+                        color: 'var(--color-text-3)',
+                        marginTop: 4
+                      }}>
                       {terminalCustomPaths[selectedTerminal]
                         ? `${t('code.custom_path')}: ${terminalCustomPaths[selectedTerminal]}`
                         : t('code.custom_path_required')}

src/renderer/src/pages/code/index.ts

@@ -20,7 +20,8 @@ export const CLI_TOOLS = [
   { value: codeTools.qwenCode, label: 'Qwen Code' },
   { value: codeTools.geminiCli, label: 'Gemini CLI' },
   { value: codeTools.openaiCodex, label: 'OpenAI Codex' },
-  { value: codeTools.iFlowCli, label: 'iFlow CLI' }
+  { value: codeTools.iFlowCli, label: 'iFlow CLI' },
+  { value: codeTools.githubCopilotCli, label: 'GitHub Copilot CLI' }
 ]
 
 export const GEMINI_SUPPORTED_PROVIDERS = ['aihubmix', 'dmxapi', 'new-api', 'cherryin']
@@ -43,7 +44,8 @@ export const CLI_TOOL_PROVIDER_MAP: Record<string, (providers: Provider[]) => Pr
   [codeTools.qwenCode]: (providers) => providers.filter((p) => p.type.includes('openai')),
   [codeTools.openaiCodex]: (providers) =>
     providers.filter((p) => p.id === 'openai' || OPENAI_CODEX_SUPPORTED_PROVIDERS.includes(p.id)),
-  [codeTools.iFlowCli]: (providers) => providers.filter((p) => p.type.includes('openai'))
+  [codeTools.iFlowCli]: (providers) => providers.filter((p) => p.type.includes('openai')),
+  [codeTools.githubCopilotCli]: () => []
 }
 
 export const getCodeToolsApiBaseUrl = (model: Model, type: EndpointType) => {
@@ -158,6 +160,10 @@ export const generateToolEnvironment = ({
       env.IFLOW_BASE_URL = baseUrl
       env.IFLOW_MODEL_NAME = model.id
       break
+
+    case codeTools.githubCopilotCli:
+      env.GITHUB_TOKEN = apiKey || ''
+      break
   }
 
   return env

src/renderer/src/pages/home/ChatNavbar.tsx

@@ -16,11 +16,12 @@ import { EVENT_NAMES, EventEmitter } from '@renderer/services/EventService'
 import { useAppDispatch } from '@renderer/store'
 import { setNarrowMode } from '@renderer/store/settings'
 import { ApiModel, Assistant, PermissionMode, Topic } from '@renderer/types'
+import { formatErrorMessageWithPrefix } from '@renderer/utils/error'
 import { Tooltip } from 'antd'
 import { t } from 'i18next'
 import { Menu, PanelLeftClose, PanelRightClose, Search } from 'lucide-react'
 import { AnimatePresence, motion } from 'motion/react'
-import { FC, ReactNode, useCallback } from 'react'
+import React, { FC, ReactNode, useCallback } from 'react'
 import styled from 'styled-components'
 
 import { AgentSettingsPopup } from '../settings/AgentSettings'
@@ -131,7 +132,10 @@ const HeaderNavbar: FC<Props> = ({ activeAssistant, setActiveAssistant, activeTo
                   item: 'h-full'
                 }}>
                 <Chip size="md" variant="light" className="h-full transition-background hover:bg-foreground-100">
-                  <AgentLabel agent={agent} classNames={{ name: 'max-w-50 font-bold text-xs' }} />
+                  <AgentLabel
+                    agent={agent}
+                    classNames={{ name: 'max-w-50 font-bold text-xs', avatar: 'h-4.5 w-4.5', container: 'gap-1.5' }}
+                  />
                 </Chip>
               </BreadcrumbItem>
               <BreadcrumbItem>
@@ -193,13 +197,24 @@ const SessionWorkspaceMeta: FC<{ agentId: string; sessionId: string }> = ({ agen
 
   const infoItems: ReactNode[] = []
 
-  const InfoTag: FC<{ text: string; className?: string }> = ({ text, className }) => (
+  const InfoTag = ({
+    text,
+    className,
+    onClick
+  }: {
+    text: string
+    className?: string
+    classNames?: {}
+    onClick?: (e: React.MouseEvent) => void
+  }) => (
     <div
       className={cn(
         'rounded-medium border border-default-200 px-2 py-1 text-foreground-500 text-xs dark:text-foreground-400',
+        onClick !== undefined ? 'cursor-pointer' : undefined,
         className
       )}
-      title={text}>
+      title={text}
+      onClick={onClick}>
       <span className="block truncate">{text}</span>
     </div>
   )
@@ -207,7 +222,22 @@ const SessionWorkspaceMeta: FC<{ agentId: string; sessionId: string }> = ({ agen
   // infoItems.push(<InfoTag key="name" text={agent.name ?? ''} className="max-w-60" />)
 
   if (firstAccessiblePath) {
-    infoItems.push(<InfoTag key="path" text={firstAccessiblePath} className="max-w-60" />)
+    infoItems.push(
+      <InfoTag
+        key="path"
+        text={firstAccessiblePath}
+        className="max-w-60 transition-colors hover:border-primary hover:text-primary"
+        onClick={() => {
+          window.api.file
+            .openPath(firstAccessiblePath)
+            .catch((e) =>
+              window.toast.error(
+                formatErrorMessageWithPrefix(e, t('files.error.open_path', { path: firstAccessiblePath }))
+              )
+            )
+        }}
+      />
+    )
   }
 
   infoItems.push(<InfoTag key="permission-mode" text={permissionModeLabel} className="max-w-50" />)

src/renderer/src/pages/home/Inputbar/TODO.md

@@ -1,105 +0,0 @@
-# Inputbar Unification Plan
-
-## Goal
-Create a single configurable input bar that supports chat topics, agent sessions, and other contexts (e.g. mini window) without duplicating UI logic. Remove `AgentSessionInputbar.tsx` in favour of the shared implementation.
-
-## Tasks
-
-### 1. Configuration Layer
-- [ ] Add `InputbarScope` registry (e.g. `src/renderer/src/config/registry/inputbar.ts`).
-- [ ] Define per-scope options (features toggles, placeholders, min/max rows, token counter, quick panel, attachments, knowledge picker, mention models, translate button, abort button, etc.).
-- [ ] Register defaults for chat (`TopicType.Chat`), agent session (`TopicType.Session`), and mini window scope.
-
-### 2. InputbarTools Registry System (NEW)
-- [ ] Create `ToolDefinition` interface with key, label, icon, condition, dependencies, and render function
-- [ ] Implement tool registration mechanism in `src/renderer/src/config/registry/inputbarTools.ts`
-- [ ] Create `InputbarToolsProvider` for shared state management (files, mentionedModels, knowledgeBases, etc.)
-- [ ] Define tool context interfaces (`ToolContext`, `ToolRenderContext`) for dependency injection
-- [ ] Migrate existing tools to registry-based definitions:
-  - [ ] new_topic tool
-  - [ ] attachment tool  
-  - [ ] thinking tool
-  - [ ] web_search tool
-  - [ ] url_context tool
-  - [ ] knowledge_base tool
-  - [ ] mcp_tools tool
-  - [ ] generate_image tool
-  - [ ] mention_models tool
-  - [ ] quick_phrases tool
-  - [ ] clear_topic tool
-  - [ ] toggle_expand tool
-  - [ ] new_context tool
-- [ ] Simplify InputbarTools component to use registry (reduce from 19 props to 3-5)
-- [ ] Integrate tool visibility/order configuration with InputbarScope
-
-### 3. Shared UI Composer
-- [ ] Extract common UI from `Inputbar.tsx` into new `InputComposer` component that reads config + callbacks.
-- [ ] Ensure composer handles textarea sizing, focus, drag/drop, token estimation, attachments, toolbar slots based on config.
-- [ ] Provide controlled props for text, files, mentioned models, loading states, quick panel interactions.
-
-### 4. Chat Wrapper Migration
-- [ ] Refactor `Inputbar.tsx` to:
-  - Resolve scope via topic type.
-  - Fetch config via registry.
-  - Supply send/abort/translate/knowledge handlers to composer.
-  - Remove inline UI duplication now covered by composer.
-- [ ] Verify chat-specific behaviour (knowledge save, auto translate, quick panel, model mentions) via config flags and callbacks.
-
-### 5. Agent Session Wrapper Migration
-- [ ] Rebuild session input bar (currently `AgentSessionInputbar.tsx`) as thin wrapper using composer and session scope config.
-- [ ] Use session-specific hooks for message creation, model resolution, aborting, and streaming state.
-- [ ] Once parity confirmed, delete `AgentSessionInputbar.tsx` and update all imports.
-
-### 6. Cross-cutting Cleanup
-- [ ] Remove duplicated state caches (`_text`, `_files`, `_mentionedModelsCache`) once wrappers manage persistence appropriately.
-- [ ] Update typings (`MessageInputBaseParams`, etc.) if composer needs shared interfaces.
-- [ ] Ensure quick panel integration works for all scopes (guard behind config flag).
-
-### 7. Verification
-- [ ] Run `yarn build:check` (after cleaning existing lint issues in WebSearchTool/ReadTool).
-- [ ] Manual QA for chat topics, agent sessions, and mini window input: send, abort, attachments, translate, quick panel triggers, knowledge save.
-- [ ] Add doc entry summarising registry usage and scope configuration.
-
-## Notes
-- Aligns with the approach taken for `MessageMenubar` scope registry.
-- Composer should accept refs for external focus triggers (e.g. `MessageGroup` or session auto-focus).
-- Plan to remove now-unused session-specific styles/components once migration completes.
-
-## Implementation Details
-
-### InputbarTools Registry Architecture
-**Problem**: Current InputbarTools has 19 props causing severe prop drilling and coupling.
-
-**Solution**: Registry-based tool system with dependency injection:
-
-```typescript
-// Tool Definition
-interface ToolDefinition {
-  key: string
-  label: string | ((t: TFunction) => string)
-  icon?: React.ComponentType
-  condition?: (context: ToolContext) => boolean
-  visibleInScopes?: InputbarScope[]
-  dependencies?: { hooks?, refs?, state? }
-  render: (context: ToolRenderContext) => ReactNode
-}
-
-// Context Provider for shared state
-InputbarToolsProvider manages:
-- files, mentionedModels, knowledgeBases states
-- setText, resizeTextArea actions
-- Tool refs management
-
-// Simplified Component Interface
-InputbarTools props reduced to:
-- scope: InputbarScope
-- assistantId: string  
-- onNewContext?: () => void
-```
-
-**Benefits**:
-- Decoupled tool definitions
-- Easy to add/remove tools per scope
-- Type-safe dependency injection
-- Maintains drag-drop functionality
-- Reduces component complexity from 19 to 3-5 props

src/renderer/src/pages/home/Messages/Blocks/ThinkingBlock.tsx

@@ -5,7 +5,7 @@ import { useSettings } from '@renderer/hooks/useSettings'
 import { useTemporaryValue } from '@renderer/hooks/useTemporaryValue'
 import { MessageBlockStatus, type ThinkingMessageBlock } from '@renderer/types/newMessage'
 import { Collapse, message as antdMessage, Tooltip } from 'antd'
-import { memo, useCallback, useEffect, useMemo, useState } from 'react'
+import { memo, useCallback, useEffect, useMemo, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 import styled from 'styled-components'
 
@@ -105,30 +105,37 @@ const ThinkingBlock: React.FC<Props> = ({ block }) => {
 const ThinkingTimeSeconds = memo(
   ({ blockThinkingTime, isThinking }: { blockThinkingTime: number; isThinking: boolean }) => {
     const { t } = useTranslation()
-    // const [thinkingTime, setThinkingTime] = useState(blockThinkingTime || 0)
+    const [displayTime, setDisplayTime] = useState(blockThinkingTime)
 
-    // FIXME: 这里统计的和请求处统计的有一定误差
-    // useEffect(() => {
-    //   let timer: NodeJS.Timeout | null = null
-    //   if (isThinking) {
-    //     timer = setInterval(() => {
-    //       setThinkingTime((prev) => prev + 100)
-    //     }, 100)
-    //   } else if (timer) {
-    //     // 立即清除计时器
-    //     clearInterval(timer)
-    //     timer = null
-    //   }
+    const timer = useRef<NodeJS.Timeout | null>(null)
 
-    //   return () => {
-    //     if (timer) {
-    //       clearInterval(timer)
-    //       timer = null
-    //     }
-    //   }
-    // }, [isThinking])
+    useEffect(() => {
+      if (isThinking) {
+        if (!timer.current) {
+          timer.current = setInterval(() => {
+            setDisplayTime((prev) => prev + 100)
+          }, 100)
+        }
+      } else {
+        if (timer.current) {
+          clearInterval(timer.current)
+          timer.current = null
+        }
+        setDisplayTime(blockThinkingTime)
+      }
 
-    const thinkingTimeSeconds = useMemo(() => (blockThinkingTime / 1000).toFixed(1), [blockThinkingTime])
+      return () => {
+        if (timer.current) {
+          clearInterval(timer.current)
+          timer.current = null
+        }
+      }
+    }, [isThinking, blockThinkingTime])
+
+    const thinkingTimeSeconds = useMemo(
+      () => ((displayTime < 1000 ? 100 : displayTime) / 1000).toFixed(1),
+      [displayTime]
+    )
 
     return isThinking
       ? t('chat.thinking', {

src/renderer/src/pages/home/Messages/Blocks/__tests__/ThinkingBlock.test.tsx

@@ -235,13 +235,12 @@ describe('ThinkingBlock', () => {
       renderThinkingBlock(thinkingBlock)
 
       const activeTimeText = getThinkingTimeText()
-      expect(activeTimeText).toHaveTextContent('1.0s')
       expect(activeTimeText).toHaveTextContent('Thinking...')
     })
 
     it('should handle extreme thinking times correctly', () => {
       const testCases = [
-        { thinking_millsec: 0, expectedTime: '0.0s' },
+        { thinking_millsec: 0, expectedTime: '0.1s' }, // New logic: values < 1000ms display as 0.1s
         { thinking_millsec: 86400000, expectedTime: '86400.0s' }, // 1 day
         { thinking_millsec: 259200000, expectedTime: '259200.0s' } // 3 days
       ]

src/renderer/src/pages/home/Messages/Message.tsx

@@ -1,4 +1,6 @@
+import { cn } from '@heroui/react'
 import { loggerService } from '@logger'
+import HorizontalScrollContainer from '@renderer/components/HorizontalScrollContainer'
 import Scrollbar from '@renderer/components/Scrollbar'
 import { useMessageEditing } from '@renderer/context/MessageEditingContext'
 import { useAssistant } from '@renderer/hooks/useAssistant'
@@ -225,20 +227,28 @@ const MessageItem: FC<Props> = ({
               </MessageErrorBoundary>
             </MessageContentContainer>
             {showMenubar && (
-              <MessageFooter className="MessageFooter" $isLastMessage={isLastMessage} $messageStyle={messageStyle}>
-                <MessageMenubar
-                  message={message}
-                  assistant={assistant}
-                  model={model}
-                  index={index}
-                  topic={topic}
-                  isLastMessage={isLastMessage}
-                  isAssistantMessage={isAssistantMessage}
-                  isGrouped={isGrouped}
-                  messageContainerRef={messageContainerRef as React.RefObject<HTMLDivElement>}
-                  setModel={setModel}
-                  onUpdateUseful={onUpdateUseful}
-                />
+              <MessageFooter className="MessageFooter">
+                <HorizontalScrollContainer
+                  classNames={{
+                    content: cn(
+                      'flex-1 items-center justify-between',
+                      isLastMessage && messageStyle === 'plain' ? 'flex-row-reverse' : 'flex-row'
+                    )
+                  }}>
+                  <MessageMenubar
+                    message={message}
+                    assistant={assistant}
+                    model={model}
+                    index={index}
+                    topic={topic}
+                    isLastMessage={isLastMessage}
+                    isAssistantMessage={isAssistantMessage}
+                    isGrouped={isGrouped}
+                    messageContainerRef={messageContainerRef as React.RefObject<HTMLDivElement>}
+                    setModel={setModel}
+                    onUpdateUseful={onUpdateUseful}
+                  />
+                </HorizontalScrollContainer>
               </MessageFooter>
             )}
           </>
@@ -282,10 +292,8 @@ const MessageContentContainer = styled(Scrollbar)`
   overflow-y: auto;
 `
 
-const MessageFooter = styled.div<{ $isLastMessage: boolean; $messageStyle: 'plain' | 'bubble' }>`
+const MessageFooter = styled.div`
   display: flex;
-  flex-direction: ${({ $isLastMessage, $messageStyle }) =>
-    $isLastMessage && $messageStyle === 'plain' ? 'row-reverse' : 'row'};
   align-items: center;
   justify-content: space-between;
   gap: 10px;

src/renderer/src/pages/home/Messages/MessageGroup.tsx

@@ -337,17 +337,30 @@ const GroupContainer = styled.div`
 const GridContainer = styled(Scrollbar)<{ $count: number; $gridColumns: number }>`
   width: 100%;
   display: grid;
-  overflow-y: visible;
   gap: 16px;
+
   &.horizontal {
     padding-bottom: 4px;
     grid-template-columns: repeat(${({ $count }) => $count}, minmax(420px, 1fr));
+    overflow-y: hidden;
     overflow-x: auto;
+    &::-webkit-scrollbar {
+      height: 6px;
+    }
+    &::-webkit-scrollbar-thumb {
+      background: var(--color-scrollbar-thumb);
+      border-radius: var(--scrollbar-thumb-radius);
+    }
+    &::-webkit-scrollbar-thumb:hover {
+      background: var(--color-scrollbar-thumb-hover);
+    }
   }
   &.fold,
   &.vertical {
     grid-template-columns: repeat(1, minmax(0, 1fr));
     gap: 8px;
+    overflow-y: auto;
+    overflow-x: hidden;
   }
   &.grid {
     grid-template-columns: repeat(
@@ -355,11 +368,15 @@ const GridContainer = styled(Scrollbar)<{ $count: number; $gridColumns: number }
       minmax(0, 1fr)
     );
     grid-template-rows: auto;
+    overflow-y: auto;
+    overflow-x: hidden;
   }
 
   &.multi-select-mode {
     grid-template-columns: repeat(1, minmax(0, 1fr));
     gap: 10px;
+    overflow-y: auto;
+    overflow-x: hidden;
     .grid {
       height: auto;
     }
@@ -385,7 +402,7 @@ interface MessageWrapperProps {
 const MessageWrapper = styled.div<MessageWrapperProps>`
   &.horizontal {
     padding: 1px;
-    overflow-y: auto;
+    /* overflow-y: auto; */
     .message {
       height: 100%;
       border: 0.5px solid var(--color-border);
@@ -405,8 +422,9 @@ const MessageWrapper = styled.div<MessageWrapperProps>`
     }
   }
   &.grid {
+    display: block;
     height: 300px;
-    overflow-y: hidden;
+    overflow: hidden;
     border: 0.5px solid var(--color-border);
     border-radius: 10px;
     cursor: pointer;

src/renderer/src/pages/home/Messages/Tools/MessageMcpTool.tsx

@@ -58,7 +58,7 @@ const MessageMcpTool: FC<Props> = ({ block }) => {
   const [progress, setProgress] = useState<number>(0)
   const { setTimeoutTimer } = useTimer()
 
-  const toolResponse = block.metadata?.rawMcpToolResponse
+  const toolResponse = block.metadata?.rawMcpToolResponse as MCPToolResponse
 
   const { id, tool, status, response } = toolResponse as MCPToolResponse
   const isPending = status === 'pending'

src/renderer/src/pages/home/Messages/Tools/MessageTool.tsx

@@ -1,5 +1,8 @@
 import { NormalToolResponse } from '@renderer/types'
-import type { ToolMessageBlock } from '@renderer/types/newMessage'
+import { MessageBlockStatus, ToolMessageBlock } from '@renderer/types/newMessage'
+import { TFunction } from 'i18next'
+import { Pause } from 'lucide-react'
+import { useTranslation } from 'react-i18next'
 
 import { MessageAgentTools } from './MessageAgentTools'
 import { MessageKnowledgeSearchToolTitle } from './MessageKnowledgeSearch'
@@ -35,14 +38,29 @@ const isAgentTool = (toolName: string) => {
   return false
 }
 
-const ChooseTool = (toolResponse: NormalToolResponse): React.ReactNode | null => {
+const ChooseTool = (
+  toolResponse: NormalToolResponse,
+  status: MessageBlockStatus,
+  t: TFunction
+): React.ReactNode | null => {
   let toolName = toolResponse.tool.name
+  const toolType = toolResponse.tool.type
   if (toolName.startsWith(prefix)) {
     toolName = toolName.slice(prefix.length)
+    if (status === MessageBlockStatus.PAUSED) {
+      return (
+        <div className="flex items-center gap-1">
+          <Pause className="h-4 w-4" />
+          <span>{t('message.tools.aborted')}</span>
+        </div>
+      )
+    }
     switch (toolName) {
       case 'web_search':
       case 'web_search_preview':
-        return <MessageWebSearchToolTitle toolResponse={toolResponse} />
+      case 'exa_search':
+      case 'tavily_search':
+        return toolType === 'provider' ? null : <MessageWebSearchToolTitle toolResponse={toolResponse} />
       case 'knowledge_search':
         return <MessageKnowledgeSearchToolTitle toolResponse={toolResponse} />
       case 'memory_search':
@@ -57,12 +75,13 @@ const ChooseTool = (toolResponse: NormalToolResponse): React.ReactNode | null =>
 }
 
 export default function MessageTool({ block }: Props) {
+  const { t } = useTranslation()
   // FIXME: 语义错误，这里已经不是 MCP tool 了,更改rawMcpToolResponse需要改用户数据, 所以暂时保留
-  const toolResponse = block.metadata?.rawMcpToolResponse
+  const toolResponse = block.metadata?.rawMcpToolResponse as NormalToolResponse
 
   if (!toolResponse) return null
 
-  const toolRenderer = ChooseTool(toolResponse as NormalToolResponse)
+  const toolRenderer = ChooseTool(toolResponse as NormalToolResponse, block.status, t)
 
   if (!toolRenderer) return null
 

src/renderer/src/pages/home/Messages/Tools/MessageWebSearch.tsx

@@ -1,3 +1,5 @@
+import { ExaSearchToolInput, ExaSearchToolOutput } from '@renderer/aiCore/tools/ExaSearchTool'
+import { TavilySearchToolInput, TavilySearchToolOutput } from '@renderer/aiCore/tools/TavilySearchTool'
 import { WebSearchToolInput, WebSearchToolOutput } from '@renderer/aiCore/tools/WebSearchTool'
 import Spinner from '@renderer/components/Spinner'
 import { NormalToolResponse } from '@renderer/types'
@@ -8,17 +10,31 @@ import styled from 'styled-components'
 
 const { Text } = Typography
 
+// 联合类型 - 支持多种搜索工具
+type SearchToolInput = WebSearchToolInput | ExaSearchToolInput | TavilySearchToolInput
+type SearchToolOutput = WebSearchToolOutput | ExaSearchToolOutput | TavilySearchToolOutput
+
 export const MessageWebSearchToolTitle = ({ toolResponse }: { toolResponse: NormalToolResponse }) => {
   const { t } = useTranslation()
-  const toolInput = toolResponse.arguments as WebSearchToolInput
-  const toolOutput = toolResponse.response as WebSearchToolOutput
+  const toolInput = toolResponse.arguments as SearchToolInput
+  const toolOutput = toolResponse.response as SearchToolOutput
+  // 根据不同的工具类型获取查询内容
+  const getQueryText = () => {
+    if ('additionalContext' in toolInput) {
+      return toolInput.additionalContext ?? ''
+    }
+    if ('query' in toolInput) {
+      return toolInput.query ?? ''
+    }
+    return ''
+  }
 
   return toolResponse.status !== 'done' ? (
     <Spinner
       text={
         <PrepareToolWrapper>
           {t('message.searching')}
-          <span>{toolInput?.additionalContext ?? ''}</span>
+          <span>{getQueryText()}</span>
         </PrepareToolWrapper>
       }
     />

src/renderer/src/pages/home/Tabs/components/AssistantItem.tsx

@@ -390,6 +390,7 @@ const Container = styled.div`
   border-radius: var(--list-item-border-radius);
   border: 0.5px solid transparent;
   width: calc(var(--assistants-width) - 20px);
+  cursor: pointer;
 
   &:hover {
     background-color: var(--color-list-item-hover);