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/claude-translator.yml

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

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

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

.yarn/patches/@opeoginni-github-copilot-openai-compatible-npm-0.1.18-3f65760532.patch

@@ -1,44 +0,0 @@
-diff --git a/dist/index.js b/dist/index.js
-index 53f411e55a4c9a06fd29bb4ab8161c4ad15980cd..71b91f196c8b886ed90dd237dec5625d79d5677e 100644
---- a/dist/index.js
-+++ b/dist/index.js
-@@ -12676,10 +12676,13 @@ var OpenAIResponsesLanguageModel = class {
-                   }
-                 });
-               } else if (value.item.type === "message") {
--                controller.enqueue({
--                  type: "text-end",
--                  id: value.item.id
--                });
-+                // Fix for gpt-5-codex: use currentTextId to ensure text-end matches text-start
-+                if (currentTextId) {
-+                  controller.enqueue({
-+                    type: "text-end",
-+                    id: currentTextId
-+                  });
-+                }
-                 currentTextId = null;
-               } else if (isResponseOutputItemDoneReasoningChunk(value)) {
-                 const activeReasoningPart = activeReasoning[value.item.id];
-diff --git a/dist/index.mjs b/dist/index.mjs
-index 7719264da3c49a66c2626082f6ccaae6e3ef5e89..090fd8cf142674192a826148428ed6a0c4a54e35 100644
---- a/dist/index.mjs
-+++ b/dist/index.mjs
-@@ -12670,10 +12670,13 @@ var OpenAIResponsesLanguageModel = class {
-                   }
-                 });
-               } else if (value.item.type === "message") {
--                controller.enqueue({
--                  type: "text-end",
--                  id: value.item.id
--                });
-+                // Fix for gpt-5-codex: use currentTextId to ensure text-end matches text-start
-+                if (currentTextId) {
-+                  controller.enqueue({
-+                    type: "text-end",
-+                    id: currentTextId
-+                  });
-+                }
-                 currentTextId = null;
-               } else if (isResponseOutputItemDoneReasoningChunk(value)) {
-                 const activeReasoningPart = activeReasoning[value.item.id];

electron-builder.yml

@@ -125,61 +125,21 @@ afterSign: scripts/notarize.js
 artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
-    <!--LANG:en-->
-    What's New in v1.7.0-beta.2
+    What's New in v1.6.3
 
-    New Features:
-    - Session Settings: Manage session-specific settings and model configurations independently
-    - Notes Full-Text Search: Search across all notes with match highlighting
-    - Built-in DiDi MCP Server: Integration with DiDi ride-hailing services (China only)
-    - Intel OV OCR: Hardware-accelerated OCR using Intel NPU
-    - Auto-start API Server: Automatically starts when agents exist
-
-    Improvements:
-    - Agent model selection now requires explicit user choice
-    - Added Mistral AI provider support
-    - Added NewAPI generic provider support
-    - Improved navbar layout consistency across different modes
-    - Enhanced chat component responsiveness
-    - Better code block display on small screens
-    - Updated OVMS to 2025.3 official release
-    - Added Greek language support
+    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
 
     Bug Fixes:
-    - Fixed GitHub Copilot gpt-5-codex streaming issues
-    - Fixed assistant creation failures
-    - Fixed translate auto-copy functionality
-    - Fixed miniapps external link opening
-    - Fixed message layout and overflow issues
-    - Fixed API key parsing to preserve spaces
-    - Fixed agent display in different navbar layouts
+    - 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
 
-    <!--LANG:zh-CN-->
-    v1.7.0-beta.2 新特性
-
-    新功能:
-    - 会话设置：独立管理会话特定的设置和模型配置
-    - 笔记全文搜索：跨所有笔记搜索并高亮匹配内容
-    - 内置滴滴 MCP 服务器：集成滴滴打车服务(仅限中国地区)
-    - Intel OV OCR：使用 Intel NPU 的硬件加速 OCR
-    - 自动启动 API 服务器：当存在 Agent 时自动启动
-
-    改进:
-    - Agent 模型选择现在需要用户显式选择
-    - 添加 Mistral AI 提供商支持
-    - 添加 NewAPI 通用提供商支持
-    - 改进不同模式下的导航栏布局一致性
-    - 增强聊天组件响应式设计
-    - 优化小屏幕代码块显示
-    - 更新 OVMS 至 2025.3 正式版
-    - 添加希腊语支持
-
-    问题修复:
-    - 修复 GitHub Copilot gpt-5-codex 流式传输问题
-    - 修复助手创建失败
-    - 修复翻译自动复制功能
-    - 修复小程序外部链接打开
-    - 修复消息布局和溢出问题
-    - 修复 API 密钥解析以保留空格
-    - 修复不同导航栏布局中的 Agent 显示
-    <!--LANG:END-->
+    Technical Updates:
+    - Upgrade to Electron 37.6.0
+    - Update dependencies across packages

eslint.config.mjs

@@ -2,7 +2,6 @@ import tseslint from '@electron-toolkit/eslint-config-ts'
 import eslint from '@eslint/js'
 import eslintReact from '@eslint-react/eslint-plugin'
 import { defineConfig } from 'eslint/config'
-import importZod from 'eslint-plugin-import-zod'
 import oxlint from 'eslint-plugin-oxlint'
 import reactHooks from 'eslint-plugin-react-hooks'
 import simpleImportSort from 'eslint-plugin-simple-import-sort'
@@ -12,12 +11,11 @@ export default defineConfig([
   eslint.configs.recommended,
   tseslint.configs.recommended,
   eslintReact.configs['recommended-typescript'],
-  reactHooks.configs.flat.recommended,
+  reactHooks.configs['recommended-latest'],
   {
     plugins: {
       'simple-import-sort': simpleImportSort,
-      'unused-imports': unusedImports,
-      'import-zod': importZod
+      'unused-imports': unusedImports
     },
     rules: {
       '@typescript-eslint/explicit-function-return-type': 'off',
@@ -27,7 +25,6 @@ export default defineConfig([
       'simple-import-sort/exports': 'error',
       'unused-imports/no-unused-imports': 'error',
       '@eslint-react/no-prop-types': 'error',
-      'import-zod/prefer-zod-namespace': 'error'
     }
   },
   // Configuration for ensuring compatibility with the original ESLint(8.x) rules

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.7.0-beta.2",
+  "version": "1.7.0-alpha.5",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -83,7 +83,6 @@
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
     "@strongtz/win32-arm64-msvc": "^0.4.7",
-    "express": "^5.1.0",
     "font-list": "^2.0.0",
     "graceful-fs": "^4.2.11",
     "jsdom": "26.1.0",
@@ -93,7 +92,6 @@
     "selection-hook": "^1.0.12",
     "sharp": "^0.34.3",
     "swagger-jsdoc": "^6.2.8",
-    "swagger-ui-express": "^5.0.1",
     "tesseract.js": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
     "turndown": "7.2.0"
   },
@@ -101,10 +99,10 @@
     "@agentic/exa": "^7.3.3",
     "@agentic/searxng": "^7.3.3",
     "@agentic/tavily": "^7.3.3",
-    "@ai-sdk/amazon-bedrock": "^3.0.35",
-    "@ai-sdk/google-vertex": "^3.0.40",
-    "@ai-sdk/mistral": "^2.0.19",
-    "@ai-sdk/perplexity": "^2.0.13",
+    "@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",
@@ -154,7 +152,6 @@
     "@opentelemetry/sdk-trace-base": "^2.0.0",
     "@opentelemetry/sdk-trace-node": "^2.0.0",
     "@opentelemetry/sdk-trace-web": "^2.0.0",
-    "@opeoginni/github-copilot-openai-compatible": "patch:@opeoginni/github-copilot-openai-compatible@npm%3A0.1.18#~/.yarn/patches/@opeoginni-github-copilot-openai-compatible-npm-0.1.18-3f65760532.patch",
     "@playwright/test": "^1.52.0",
     "@radix-ui/react-context-menu": "^2.2.16",
     "@reduxjs/toolkit": "^2.2.5",
@@ -222,7 +219,7 @@
     "@viz-js/lang-dot": "^1.0.5",
     "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.68",
+    "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",
@@ -259,11 +256,11 @@
     "emoji-picker-element": "^1.22.1",
     "epub": "patch:epub@npm%3A1.3.0#~/.yarn/patches/epub-npm-1.3.0-8325494ffe.patch",
     "eslint": "^9.22.0",
-    "eslint-plugin-import-zod": "^1.2.0",
     "eslint-plugin-oxlint": "^1.15.0",
-    "eslint-plugin-react-hooks": "^7.0.0",
+    "eslint-plugin-react-hooks": "^5.2.0",
     "eslint-plugin-simple-import-sort": "^12.1.1",
     "eslint-plugin-unused-imports": "^4.1.4",
+    "express": "^5.1.0",
     "express-validator": "^7.2.1",
     "fast-diff": "^1.3.0",
     "fast-xml-parser": "^5.2.0",
@@ -297,15 +294,15 @@
     "notion-helper": "^1.3.22",
     "npx-scope-finder": "^1.2.0",
     "openai": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
-    "oxlint": "^1.22.0",
+    "oxlint": "^1.15.0",
     "oxlint-tsgolint": "^0.2.0",
     "p-queue": "^8.1.0",
     "pdf-lib": "^1.17.1",
     "pdf-parse": "^1.1.1",
     "playwright": "^1.52.0",
     "proxy-agent": "^6.5.0",
-    "react": "^19.2.0",
-    "react-dom": "^19.2.0",
+    "react": "^19.0.0",
+    "react-dom": "^19.0.0",
     "react-error-boundary": "^6.0.0",
     "react-hotkeys-hook": "^4.6.1",
     "react-i18next": "^14.1.2",
@@ -337,6 +334,7 @@
     "string-width": "^7.2.0",
     "striptags": "^3.2.0",
     "styled-components": "^6.1.11",
+    "swagger-ui-express": "^5.0.1",
     "swr": "^2.3.6",
     "tailwindcss": "^4.1.13",
     "tar": "^7.4.3",
@@ -372,7 +370,6 @@
     "app-builder-lib@npm:26.0.13": "patch:app-builder-lib@npm%3A26.0.13#~/.yarn/patches/app-builder-lib-npm-26.0.13-a064c9e1d0.patch",
     "app-builder-lib@npm:26.0.15": "patch:app-builder-lib@npm%3A26.0.15#~/.yarn/patches/app-builder-lib-npm-26.0.15-360e5b0476.patch",
     "atomically@npm:^1.7.0": "patch:atomically@npm%3A1.7.0#~/.yarn/patches/atomically-npm-1.7.0-e742e5293b.patch",
-    "esbuild": "^0.25.0",
     "file-stream-rotator@npm:^0.6.1": "patch:file-stream-rotator@npm%3A0.6.1#~/.yarn/patches/file-stream-rotator-npm-0.6.1-eab45fb13d.patch",
     "libsql@npm:^0.4.4": "patch:libsql@npm%3A0.4.7#~/.yarn/patches/libsql-npm-0.4.7-444e260fb1.patch",
     "node-abi": "4.12.0",
@@ -380,11 +377,10 @@
     "openai@npm:^4.87.3": "patch:openai@npm%3A5.12.2#~/.yarn/patches/openai-npm-5.12.2-30b075401c.patch",
     "pdf-parse@npm:1.1.1": "patch:pdf-parse@npm%3A1.1.1#~/.yarn/patches/pdf-parse-npm-1.1.1-04a6109b2a.patch",
     "pkce-challenge@npm:^4.1.0": "patch:pkce-challenge@npm%3A4.1.0#~/.yarn/patches/pkce-challenge-npm-4.1.0-fbc51695a3.patch",
-    "tar-fs": "^2.1.4",
     "undici": "6.21.2",
     "vite": "npm:rolldown-vite@latest",
     "tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
-    "@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch"
+    "@ai-sdk/google@npm:2.0.14": "patch:@ai-sdk/google@npm%3A2.0.14#~/.yarn/patches/@ai-sdk-google-npm-2.0.14-376d8b03cc.patch"
   },
   "packageManager": "yarn@4.9.1",
   "lint-staged": {

packages/aiCore/package.json

@@ -36,14 +36,14 @@
     "ai": "^5.0.26"
   },
   "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.27",
-    "@ai-sdk/azure": "^2.0.49",
-    "@ai-sdk/deepseek": "^1.0.23",
-    "@ai-sdk/openai": "^2.0.48",
-    "@ai-sdk/openai-compatible": "^1.0.22",
+    "@ai-sdk/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": "^3.0.12",
-    "@ai-sdk/xai": "^2.0.26",
+    "@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/webSearchPlugin/helper.ts

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

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

packages/shared/IpcChannel.ts

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

packages/shared/config/types.ts

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

resources/scripts/install-ovms.js

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

src/main/apiServer/server.ts

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

src/main/apiServer/services/models.ts

@@ -1,13 +1,6 @@
-import { isEmpty } from 'lodash'
-
 import { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
 import { loggerService } from '../../services/LoggerService'
-import {
-  getAvailableProviders,
-  getProviderAnthropicModelChecker,
-  listAllAvailableModels,
-  transformModelToOpenAI
-} from '../utils'
+import { getAvailableProviders, listAllAvailableModels, transformModelToOpenAI } from '../utils'
 
 const logger = loggerService.withContext('ModelsService')
 
@@ -23,7 +16,9 @@ export class ModelsService {
       let providers = await getAvailableProviders()
 
       if (filter.providerType === 'anthropic') {
-        providers = providers.filter((p) => p.type === 'anthropic' || !isEmpty(p.anthropicApiHost?.trim()))
+        providers = providers.filter(
+          (p) => p.type === 'anthropic' || (p.anthropicApiHost !== undefined && p.anthropicApiHost.trim() !== '')
+        )
       }
 
       const models = await listAllAvailableModels(providers)
@@ -32,18 +27,18 @@ export class ModelsService {
 
       for (const model of models) {
         const provider = providers.find((p) => p.id === model.provider)
-        logger.debug(`Processing model ${model.id}`)
-        if (!provider) {
-          logger.debug(`Skipping model ${model.id} . Reason: Provider not found.`)
+        logger.debug(`Processing model ${model.id} from provider ${model.provider}`, {
+          isAnthropicModel: provider?.isAnthropicModel
+        })
+        if (
+          !provider ||
+          (filter.providerType === 'anthropic' && provider.isAnthropicModel && !provider.isAnthropicModel(model))
+        ) {
           continue
         }
-
-        if (filter.providerType === 'anthropic') {
-          const checker = getProviderAnthropicModelChecker(provider.id)
-          if (!checker(model)) {
-            logger.debug(`Skipping model ${model.id} from ${model.provider}. Reason: Not an Anthropic model.`)
-            continue
-          }
+        // 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)

src/main/apiServer/utils/index.ts

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

src/main/index.ts

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

src/main/ipc.ts

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

src/main/mcpServers/didi-mcp.ts

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

src/main/mcpServers/dify-knowledge.ts

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

src/main/mcpServers/factory.ts

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

src/main/mcpServers/fetch.ts

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

src/main/mcpServers/filesystem.ts

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

src/main/services/ApiServerService.ts

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

src/main/services/AppUpdater.ts

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

src/main/services/KnowledgeService.ts

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

src/main/services/WebviewService.ts

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

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

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

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

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

src/main/services/ocr/OcrService.ts

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

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

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

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

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

src/preload/index.ts

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

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

@@ -6,11 +6,9 @@
 import { loggerService } from '@logger'
 import { AISDKWebSearchResult, MCPTool, WebSearchResults, WebSearchSource } from '@renderer/types'
 import { Chunk, ChunkType } from '@renderer/types/chunk'
-import { ProviderSpecificError } from '@renderer/types/provider-specific-error'
-import { formatErrorMessage } from '@renderer/utils/error'
 import { convertLinks, flushLinkConverterBuffer } from '@renderer/utils/linkConverter'
 import type { ClaudeCodeRawValue } from '@shared/agents/claudecode/types'
-import { AISDKError, type TextStreamPart, type ToolSet } from 'ai'
+import type { TextStreamPart, ToolSet } from 'ai'
 
 import { ToolCallChunkHandler } from './handleToolCallChunk'
 
@@ -357,14 +355,7 @@ export class AiSdkToChunkAdapter {
       case 'error':
         this.onChunk({
           type: ChunkType.ERROR,
-          error:
-            chunk.error instanceof AISDKError
-              ? chunk.error
-              : new ProviderSpecificError({
-                  message: formatErrorMessage(chunk.error),
-                  provider: 'unknown',
-                  cause: chunk.error
-                })
+          error: chunk.error as Record<string, any>
         })
         break
 

src/renderer/src/aiCore/index_new.ts

@@ -83,8 +83,10 @@ export default class ModernAiProvider {
       throw new Error('Model is required for completions. Please use constructor with model parameter.')
     }
 
-    // 每次请求时重新生成配置以确保API key轮换生效
-    this.config = providerToAiSdkConfig(this.actualProvider, this.model)
+    // 确保配置存在
+    if (!this.config) {
+      this.config = providerToAiSdkConfig(this.actualProvider, this.model)
+    }
 
     // 准备特殊配置
     await prepareSpecialProviderConfig(this.actualProvider, this.config)

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

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

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

@@ -1,5 +1,4 @@
 import { loggerService } from '@logger'
-import { COPILOT_DEFAULT_HEADERS } from '@renderer/aiCore/provider/constants'
 import {
   isClaudeReasoningModel,
   isOpenAIReasoningModel,
@@ -168,7 +167,8 @@ export abstract class OpenAIBaseClient<
         defaultHeaders: {
           ...this.defaultHeaders(),
           ...this.provider.extra_headers,
-          ...(this.provider.id === 'copilot' ? COPILOT_DEFAULT_HEADERS : {})
+          ...(this.provider.id === 'copilot' ? { 'editor-version': 'vscode/1.97.2' } : {}),
+          ...(this.provider.id === 'copilot' ? { 'copilot-vision-request': 'true' } : {})
         }
       }) as TSdkInstance
     }

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

@@ -4,8 +4,6 @@ import type { MCPTool, Message, Model, Provider } from '@renderer/types'
 import type { Chunk } from '@renderer/types/chunk'
 import { extractReasoningMiddleware, LanguageModelMiddleware, simulateStreamingMiddleware } from 'ai'
 
-import { noThinkMiddleware } from './noThinkMiddleware'
-
 const logger = loggerService.withContext('AiSdkMiddlewareBuilder')
 
 /**
@@ -188,14 +186,6 @@ function addProviderSpecificMiddlewares(builder: AiSdkMiddlewareBuilder, config:
       // 其他provider的通用处理
       break
   }
-
-  // OVMS+MCP's specific middleware
-  if (config.provider.id === 'ovms' && config.mcpTools && config.mcpTools.length > 0) {
-    builder.add({
-      name: 'no-think',
-      middleware: noThinkMiddleware()
-    })
-  }
 }
 
 /**

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

@@ -6,7 +6,6 @@ import {
   getThinkModelType,
   isDeepSeekHybridInferenceModel,
   isDoubaoThinkingAutoModel,
-  isGrok4FastReasoningModel,
   isGrokReasoningModel,
   isOpenAIReasoningModel,
   isQwenAlwaysThinkModel,
@@ -53,12 +52,7 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
         return {}
       }
       // Don't disable reasoning for models that require it
-      if (
-        isGrokReasoningModel(model) ||
-        isOpenAIReasoningModel(model) ||
-        isQwenAlwaysThinkModel(model) ||
-        model.id.includes('seed-oss')
-      ) {
+      if (isGrokReasoningModel(model) || isOpenAIReasoningModel(model) || model.id.includes('seed-oss')) {
         return {}
       }
       return { reasoning: { enabled: false, exclude: true } }
@@ -106,7 +100,6 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
   // reasoningEffort有效的情况
   // DeepSeek hybrid inference models, v3.1 and maybe more in the future
   // 不同的 provider 有不同的思考控制方式，在这里统一解决
-
   if (isDeepSeekHybridInferenceModel(model)) {
     if (isSystemProvider(provider)) {
       switch (provider.id) {
@@ -149,16 +142,6 @@ export function getReasoningEffort(assistant: Assistant, model: Model): Reasonin
 
   // OpenRouter models
   if (model.provider === SystemProviderIds.openrouter) {
-    // Grok 4 Fast doesn't support effort levels, always use enabled: true
-    if (isGrok4FastReasoningModel(model)) {
-      return {
-        reasoning: {
-          enabled: true // Ignore effort level, just enable reasoning
-        }
-      }
-    }
-
-    // Other OpenRouter models that support effort levels
     if (isSupportedReasoningEffortModel(model) || isSupportedThinkingTokenModel(model)) {
       return {
         reasoning: {
@@ -429,13 +412,6 @@ export function getGeminiReasoningParams(assistant: Assistant, model: Model): Re
   return {}
 }
 
-/**
- * Get XAI-specific reasoning parameters
- * This function should only be called for XAI provider models
- * @param assistant - The assistant configuration
- * @param model - The model being used
- * @returns XAI-specific reasoning parameters
- */
 export function getXAIReasoningParams(assistant: Assistant, model: Model): Record<string, any> {
   if (!isSupportedReasoningEffortGrokModel(model)) {
     return {}
@@ -443,11 +419,6 @@ export function getXAIReasoningParams(assistant: Assistant, model: Model): Recor
 
   const { reasoning_effort: reasoningEffort } = getAssistantSettings(assistant)
 
-  if (!reasoningEffort) {
-    return {}
-  }
-
-  // For XAI provider Grok models, use reasoningEffort parameter directly
   return {
     reasoningEffort
   }

src/renderer/src/api/agent.ts

@@ -9,8 +9,6 @@ import {
   CreateAgentRequest,
   CreateAgentResponse,
   CreateAgentResponseSchema,
-  CreateAgentSessionResponse,
-  CreateAgentSessionResponseSchema,
   CreateSessionForm,
   CreateSessionRequest,
   GetAgentResponse,
@@ -173,12 +171,12 @@ export class AgentApiClient {
     }
   }
 
-  public async createSession(agentId: string, session: CreateSessionForm): Promise<CreateAgentSessionResponse> {
+  public async createSession(agentId: string, session: CreateSessionForm): Promise<GetAgentSessionResponse> {
     const url = this.getSessionPaths(agentId).base
     try {
       const payload = session satisfies CreateSessionRequest
       const response = await this.axios.post(url, payload)
-      const data = CreateAgentSessionResponseSchema.parse(response.data)
+      const data = GetAgentSessionResponseSchema.parse(response.data)
       return data
     } catch (error) {
       throw processError(error, 'Failed to add session.')

src/renderer/src/components/CodeBlockView/view.tsx

@@ -326,7 +326,7 @@ const CodeBlockWrapper = styled.div<{ $isInSpecialView: boolean }>`
    * 一是 CodeViewer 在气泡样式下的用户消息中无法撑开气泡，
    * 二是 代码块内容过少时 toolbar 会和 title 重叠。
    */
-  min-width: 35ch;
+  min-width: 45ch;
 
   .code-toolbar {
     background-color: ${(props) => (props.$isInSpecialView ? 'transparent' : 'var(--color-background-mute)')};

src/renderer/src/components/CodeEditor/hooks.ts

@@ -2,7 +2,7 @@ import { linter } from '@codemirror/lint' // statically imported by @uiw/codemir
 import { EditorView } from '@codemirror/view'
 import { loggerService } from '@logger'
 import { Extension, keymap } from '@uiw/react-codemirror'
-import { useCallback, useEffect, useMemo, useState } from 'react'
+import { useEffect, useMemo, useState } from 'react'
 
 import { getNormalizedExtension } from './utils'
 
@@ -203,80 +203,3 @@ export function useHeightListener({ onHeightChange }: UseHeightListenerProps) {
     })
   }, [onHeightChange])
 }
-
-interface UseScrollToLineOptions {
-  highlight?: boolean
-}
-
-export function useScrollToLine(editorViewRef: React.MutableRefObject<EditorView | null>) {
-  const findLineElement = useCallback((view: EditorView, position: number): HTMLElement | null => {
-    const domAtPos = view.domAtPos(position)
-    let node: Node | null = domAtPos.node
-
-    if (node.nodeType === Node.TEXT_NODE) {
-      node = node.parentElement
-    }
-
-    while (node) {
-      if (node instanceof HTMLElement && node.classList.contains('cm-line')) {
-        return node
-      }
-      node = node.parentElement
-    }
-
-    return null
-  }, [])
-
-  const highlightLine = useCallback((view: EditorView, element: HTMLElement) => {
-    const previousHighlight = view.dom.querySelector('.animation-locate-highlight') as HTMLElement | null
-    if (previousHighlight) {
-      previousHighlight.classList.remove('animation-locate-highlight')
-    }
-
-    element.classList.add('animation-locate-highlight')
-
-    const handleAnimationEnd = () => {
-      element.classList.remove('animation-locate-highlight')
-      element.removeEventListener('animationend', handleAnimationEnd)
-    }
-
-    element.addEventListener('animationend', handleAnimationEnd)
-  }, [])
-
-  return useCallback(
-    (lineNumber: number, options?: UseScrollToLineOptions) => {
-      const view = editorViewRef.current
-      if (!view) return
-
-      const targetLine = view.state.doc.line(Math.min(lineNumber, view.state.doc.lines))
-
-      const lineElement = findLineElement(view, targetLine.from)
-      if (lineElement) {
-        lineElement.scrollIntoView({ behavior: 'smooth', block: 'center', inline: 'nearest' })
-
-        if (options?.highlight) {
-          requestAnimationFrame(() => highlightLine(view, lineElement))
-        }
-        return
-      }
-
-      view.dispatch({
-        effects: EditorView.scrollIntoView(targetLine.from, {
-          y: 'start'
-        })
-      })
-
-      if (!options?.highlight) {
-        return
-      }
-
-      setTimeout(() => {
-        const fallbackElement = findLineElement(view, targetLine.from)
-        if (fallbackElement) {
-          highlightLine(view, fallbackElement)
-        }
-      }, 200)
-    },
-    [editorViewRef, findLineElement, highlightLine]
-  )
-}

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

@@ -5,14 +5,13 @@ import diff from 'fast-diff'
 import { useCallback, useEffect, useImperativeHandle, useMemo, useRef } from 'react'
 import { memo } from 'react'
 
-import { useBlurHandler, useHeightListener, useLanguageExtensions, useSaveKeymap, useScrollToLine } from './hooks'
+import { useBlurHandler, useHeightListener, useLanguageExtensions, useSaveKeymap } from './hooks'
 
 // 标记非用户编辑的变更
 const External = Annotation.define<boolean>()
 
 export interface CodeEditorHandles {
   save?: () => void
-  scrollToLine?: (lineNumber: number, options?: { highlight?: boolean }) => void
 }
 
 export interface CodeEditorProps {
@@ -182,11 +181,8 @@ const CodeEditor = ({
     ].flat()
   }, [extensions, langExtensions, wrapped, saveKeymapExtension, blurExtension, heightListenerExtension])
 
-  const scrollToLine = useScrollToLine(editorViewRef)
-
   useImperativeHandle(ref, () => ({
-    save: handleSave,
-    scrollToLine
+    save: handleSave
   }))
 
   return (

src/renderer/src/components/HighlightText.tsx

@@ -1,48 +0,0 @@
-import { FC, memo, useMemo } from 'react'
-
-interface HighlightTextProps {
-  text: string
-  keyword: string
-  caseSensitive?: boolean
-  className?: string
-}
-
-/**
- * Text highlighting component that marks keyword matches
- */
-const HighlightText: FC<HighlightTextProps> = ({ text, keyword, caseSensitive = false, className }) => {
-  const highlightedText = useMemo(() => {
-    if (!keyword || !text) {
-      return <span>{text}</span>
-    }
-
-    // Escape regex special characters
-    const escapedKeyword = keyword.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')
-    const flags = caseSensitive ? 'g' : 'gi'
-    const regex = new RegExp(`(${escapedKeyword})`, flags)
-
-    // Split text by keyword matches
-    const parts = text.split(regex)
-
-    return (
-      <>
-        {parts.map((part, index) => {
-          // Check if part matches keyword
-          const isMatch = regex.test(part)
-          regex.lastIndex = 0 // Reset regex state
-
-          if (isMatch) {
-            return <mark key={index}>{part}</mark>
-          }
-          return <span key={index}>{part}</span>
-        })}
-      </>
-    )
-  }, [text, keyword, caseSensitive])
-
-  const combinedClassName = className ? `ant-typography ${className}` : 'ant-typography'
-
-  return <span className={combinedClassName}>{highlightedText}</span>
-}
-
-export default memo(HighlightText)

src/renderer/src/components/MinApp/MinappPopupContainer.tsx

@@ -549,7 +549,7 @@ const MinappPopupContainer: React.FC = () => {
       {/* 在所有小程序中显示GoogleLoginTip */}
       <GoogleLoginTip isReady={isReady} currentUrl={currentUrl} currentAppId={currentMinappId} />
       {!isReady && (
-        <EmptyView style={{ backgroundColor: 'var(--color-background-soft)' }}>
+        <EmptyView>
           <Avatar
             src={currentAppInfo?.logo}
             size={80}

src/renderer/src/components/MinApp/WebviewContainer.tsx

@@ -25,7 +25,7 @@ const WebviewContainer = memo(
     onNavigateCallback: (appid: string, url: string) => void
   }) => {
     const webviewRef = useRef<WebviewTag | null>(null)
-    const { enableSpellCheck, minappsOpenLinkExternal } = useSettings()
+    const { enableSpellCheck } = useSettings()
 
     const setRef = (appid: string) => {
       onSetRefCallback(appid, null)
@@ -76,8 +76,6 @@ const WebviewContainer = memo(
         const webviewId = webviewRef.current?.getWebContentsId()
         if (webviewId) {
           window.api?.webview?.setSpellCheckEnabled?.(webviewId, enableSpellCheck)
-          // Set link opening behavior for this webview
-          window.api?.webview?.setOpenLinkExternal?.(webviewId, minappsOpenLinkExternal)
         }
       }
 
@@ -106,22 +104,6 @@ const WebviewContainer = memo(
       // eslint-disable-next-line react-hooks/exhaustive-deps
     }, [appid, url])
 
-    // Update webview settings when they change
-    useEffect(() => {
-      if (!webviewRef.current) return
-
-      try {
-        const webviewId = webviewRef.current.getWebContentsId()
-        if (webviewId) {
-          window.api?.webview?.setSpellCheckEnabled?.(webviewId, enableSpellCheck)
-          window.api?.webview?.setOpenLinkExternal?.(webviewId, minappsOpenLinkExternal)
-        }
-      } catch (error) {
-        // WebView may not be ready yet, settings will be applied in dom-ready event
-        logger.debug(`WebView ${appid} not ready for settings update`)
-      }
-    }, [appid, minappsOpenLinkExternal, enableSpellCheck])
-
     const WebviewStyle: React.CSSProperties = {
       width: '100%',
       height: '100%',

src/renderer/src/components/Popups/ApiKeyListPopup/popup.tsx

@@ -10,7 +10,6 @@ interface ShowParams {
   providerId: string
   title?: string
   showHealthCheck?: boolean
-  providerType?: 'llm' | 'webSearch' | 'preprocess'
 }
 
 interface Props extends ShowParams {
@@ -20,7 +19,7 @@ interface Props extends ShowParams {
 /**
  * API Key 列表弹窗容器组件
  */
-const PopupContainer: React.FC<Props> = ({ providerId, title, resolve, showHealthCheck = true, providerType }) => {
+const PopupContainer: React.FC<Props> = ({ providerId, title, resolve, showHealthCheck = true }) => {
   const [open, setOpen] = useState(true)
   const { t } = useTranslation()
 
@@ -33,20 +32,14 @@ const PopupContainer: React.FC<Props> = ({ providerId, title, resolve, showHealt
   }
 
   const ListComponent = useMemo(() => {
-    const type =
-      providerType ||
-      (isWebSearchProviderId(providerId) ? 'webSearch' : isPreprocessProviderId(providerId) ? 'preprocess' : 'llm')
-
-    switch (type) {
-      case 'webSearch':
-        return <WebSearchApiKeyList providerId={providerId as any} showHealthCheck={showHealthCheck} />
-      case 'preprocess':
-        return <DocPreprocessApiKeyList providerId={providerId as any} showHealthCheck={showHealthCheck} />
-      case 'llm':
-      default:
-        return <LlmApiKeyList providerId={providerId} showHealthCheck={showHealthCheck} />
+    if (isWebSearchProviderId(providerId)) {
+      return <WebSearchApiKeyList providerId={providerId} showHealthCheck={showHealthCheck} />
     }
-  }, [providerId, showHealthCheck, providerType])
+    if (isPreprocessProviderId(providerId)) {
+      return <DocPreprocessApiKeyList providerId={providerId} showHealthCheck={showHealthCheck} />
+    }
+    return <LlmApiKeyList providerId={providerId} showHealthCheck={showHealthCheck} />
+  }, [providerId, showHealthCheck])
 
   return (
     <Modal

src/renderer/src/components/Popups/agent/AgentModal.tsx

@@ -1,5 +1,6 @@
 import {
   Button,
+  cn,
   Form,
   Input,
   Modal,
@@ -16,7 +17,7 @@ import {
 import { loggerService } from '@logger'
 import type { Selection } from '@react-types/shared'
 import ClaudeIcon from '@renderer/assets/images/models/claude.png'
-import { agentModelFilter, getModelLogo } from '@renderer/config/models'
+import { getModelLogo } from '@renderer/config/models'
 import { permissionModeCards } from '@renderer/constants/permissionModes'
 import { useAgents } from '@renderer/hooks/agents/useAgents'
 import { useApiModels } from '@renderer/hooks/agents/useModels'
@@ -33,7 +34,7 @@ import {
   UpdateAgentForm
 } from '@renderer/types'
 import { AlertTriangleIcon } from 'lucide-react'
-import { ChangeEvent, FormEvent, useCallback, useEffect, useMemo, useRef, useState } from 'react'
+import { ChangeEvent, FormEvent, ReactNode, useCallback, useEffect, useMemo, useRef, useState } from 'react'
 import { useTranslation } from 'react-i18next'
 
 import { ErrorBoundary } from '../../ErrorBoundary'
@@ -56,30 +57,43 @@ const buildAgentForm = (existing?: AgentWithTools): BaseAgentForm => ({
   name: existing?.name ?? 'Claude Code',
   description: existing?.description,
   instructions: existing?.instructions,
-  model: existing?.model ?? '',
+  model: existing?.model ?? 'claude-4-sonnet',
   accessible_paths: existing?.accessible_paths ? [...existing.accessible_paths] : [],
   allowed_tools: existing?.allowed_tools ? [...existing.allowed_tools] : [],
   mcps: existing?.mcps ? [...existing.mcps] : [],
   configuration: AgentConfigurationSchema.parse(existing?.configuration ?? {})
 })
 
-type Props = {
+interface BaseProps {
   agent?: AgentWithTools
+}
+
+interface TriggerProps extends BaseProps {
+  trigger: { content: ReactNode; className?: string }
+  isOpen?: never
+  onClose?: never
+}
+
+interface StateProps extends BaseProps {
+  trigger?: never
   isOpen: boolean
   onClose: () => void
 }
 
+type Props = TriggerProps | StateProps
+
 /**
  * Modal component for creating or editing an agent.
  *
  * Either trigger or isOpen and onClose is given.
  * @param agent - Optional agent entity for editing mode.
+ * @param trigger - Optional trigger element that opens the modal. It MUST propagate the click event to trigger the modal.
  * @param isOpen - Optional controlled modal open state. From useDisclosure.
  * @param onClose - Optional callback when modal closes. From useDisclosure.
  * @returns Modal component for agent creation/editing
  */
-export const AgentModal: React.FC<Props> = ({ agent, isOpen: _isOpen, onClose: _onClose }) => {
-  const { isOpen, onClose } = useDisclosure({ isOpen: _isOpen, onClose: _onClose })
+export const AgentModal: React.FC<Props> = ({ agent, trigger, isOpen: _isOpen, onClose: _onClose }) => {
+  const { isOpen, onClose, onOpen } = useDisclosure({ isOpen: _isOpen, onClose: _onClose })
   const { t } = useTranslation()
   const loadingRef = useRef(false)
   // const { setTimeoutTimer } = useTimer()
@@ -231,23 +245,14 @@ export const AgentModal: React.FC<Props> = ({ agent, isOpen: _isOpen, onClose: _
 
   const modelOptions = useMemo(() => {
     // mocked data. not final version
-    return (models ?? [])
-      .filter((m) =>
-        agentModelFilter({
-          id: m.id,
-          provider: m.provider || '',
-          name: m.name,
-          group: ''
-        })
-      )
-      .map((model) => ({
-        type: 'model',
-        key: model.id,
-        label: model.name,
-        avatar: getModelLogo(model.id),
-        providerId: model.provider,
-        providerName: model.provider_name
-      })) satisfies ModelOption[]
+    return (models ?? []).map((model) => ({
+      type: 'model',
+      key: model.id,
+      label: model.name,
+      avatar: getModelLogo(model.id),
+      providerId: model.provider,
+      providerName: model.provider_name
+    })) satisfies ModelOption[]
   }, [models])
 
   const onModelChange = useCallback((e: ChangeEvent<HTMLSelectElement>) => {
@@ -345,6 +350,23 @@ export const AgentModal: React.FC<Props> = ({ agent, isOpen: _isOpen, onClose: _
 
   return (
     <ErrorBoundary>
+      {/* NOTE: Hero UI Modal Pattern: Combine the Button and Modal components into a single
+      encapsulated component. This is because the Modal component needs to bind the onOpen
+      event handler to the Button for proper focus management.
+
+      Or just use external isOpen/onOpen/onClose to control modal state.
+      */}
+
+      {trigger && (
+        <div
+          onClick={(e) => {
+            e.stopPropagation()
+            onOpen()
+          }}
+          className={cn('w-full', trigger.className)}>
+          {trigger.content}
+        </div>
+      )}
       <Modal
         isOpen={isOpen}
         onClose={onClose}

src/renderer/src/components/Popups/agent/SessionModal.tsx

@@ -98,7 +98,7 @@ export const SessionModal: React.FC<Props> = ({
   const loadingRef = useRef(false)
   // const { setTimeoutTimer } = useTimer()
   const { createSession } = useSessions(agentId)
-  const { updateSession } = useUpdateSession(agentId)
+  const updateSession = useUpdateSession(agentId)
   const { agent } = useAgent(agentId)
   const isEditing = (session?: AgentSessionEntity) => session !== undefined
 

src/renderer/src/components/RichEditor/constants.ts

@@ -1,2 +0,0 @@
-// Attribute used to store the original source line number in markdown editors
-export const MARKDOWN_SOURCE_LINE_ATTR = 'data-source-line'

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

@@ -1,6 +1,5 @@
 import { loggerService } from '@logger'
 import { ContentSearch, type ContentSearchRef } from '@renderer/components/ContentSearch'
-import { MARKDOWN_SOURCE_LINE_ATTR } from '@renderer/components/RichEditor/constants'
 import DragHandle from '@tiptap/extension-drag-handle-react'
 import { EditorContent } from '@tiptap/react'
 import { Tooltip } from 'antd'
@@ -30,156 +29,6 @@ import type { FormattingCommand, RichEditorProps, RichEditorRef } from './types'
 import { useRichEditor } from './useRichEditor'
 const logger = loggerService.withContext('RichEditor')
 
-/**
- * Find element by line number with fallback strategies:
- * 1. Exact line + content match
- * 2. Exact line match
- * 3. Closest line <= target
- */
-function findElementByLine(editorDom: HTMLElement, lineNumber: number, lineContent?: string): HTMLElement | null {
-  const allElements = Array.from(editorDom.querySelectorAll(`[${MARKDOWN_SOURCE_LINE_ATTR}]`)) as HTMLElement[]
-  if (allElements.length === 0) {
-    logger.warn('No elements with data-source-line attribute found')
-    return null
-  }
-  const exactMatches = editorDom.querySelectorAll(
-    `[${MARKDOWN_SOURCE_LINE_ATTR}="${lineNumber}"]`
-  ) as NodeListOf<HTMLElement>
-
-  // Strategy 1: Exact line + content match
-  if (exactMatches.length > 1 && lineContent) {
-    for (const match of Array.from(exactMatches)) {
-      if (match.textContent?.includes(lineContent)) {
-        return match
-      }
-    }
-  }
-
-  // Strategy 2: Exact line match
-  if (exactMatches.length > 0) {
-    return exactMatches[0]
-  }
-
-  // Strategy 3: Closest line <= target
-  let closestElement: HTMLElement | null = null
-  let closestLine = 0
-
-  for (const el of allElements) {
-    const sourceLine = parseInt(el.getAttribute(MARKDOWN_SOURCE_LINE_ATTR) || '0', 10)
-    if (sourceLine <= lineNumber && sourceLine > closestLine) {
-      closestLine = sourceLine
-      closestElement = el
-    }
-  }
-
-  return closestElement
-}
-
-/**
- * Create fixed-position highlight overlay at element location
- * with boundary detection to prevent overflow and toolbar overlap
- */
-function createHighlightOverlay(element: HTMLElement, container: HTMLElement): void {
-  try {
-    // Remove previous overlay
-    const previousOverlay = document.body.querySelector('.highlight-overlay')
-    if (previousOverlay) {
-      previousOverlay.remove()
-    }
-
-    const editorWrapper = container.closest('.rich-editor-wrapper')
-
-    // Create overlay at element position
-    const rect = element.getBoundingClientRect()
-    const overlay = document.createElement('div')
-    overlay.className = 'highlight-overlay animation-locate-highlight'
-    overlay.style.position = 'fixed'
-    overlay.style.left = `${rect.left}px`
-    overlay.style.top = `${rect.top}px`
-    overlay.style.width = `${rect.width}px`
-    overlay.style.height = `${rect.height}px`
-    overlay.style.pointerEvents = 'none'
-    overlay.style.zIndex = '9999'
-    overlay.style.borderRadius = '4px'
-
-    document.body.appendChild(overlay)
-
-    // Update overlay position and visibility on scroll
-    const updatePosition = () => {
-      const newRect = element.getBoundingClientRect()
-      const newContainerRect = container.getBoundingClientRect()
-
-      // Update position
-      overlay.style.left = `${newRect.left}px`
-      overlay.style.top = `${newRect.top}px`
-      overlay.style.width = `${newRect.width}px`
-      overlay.style.height = `${newRect.height}px`
-
-      // Get current toolbar bottom (it might change)
-      const currentToolbar = editorWrapper?.querySelector('[class*="ToolbarWrapper"]')
-      const currentToolbarRect = currentToolbar?.getBoundingClientRect()
-      const currentToolbarBottom = currentToolbarRect ? currentToolbarRect.bottom : newContainerRect.top
-
-      // Check if overlay is within visible bounds
-      const overlayTop = newRect.top
-      const overlayBottom = newRect.bottom
-      const visibleTop = currentToolbarBottom // Don't overlap toolbar
-      const visibleBottom = newContainerRect.bottom
-
-      // Hide overlay if any part is outside the visible container area
-      if (overlayTop < visibleTop || overlayBottom > visibleBottom) {
-        overlay.style.opacity = '0'
-        overlay.style.visibility = 'hidden'
-      } else {
-        overlay.style.opacity = '1'
-        overlay.style.visibility = 'visible'
-      }
-    }
-
-    container.addEventListener('scroll', updatePosition)
-
-    // Auto-remove after animation
-    const handleAnimationEnd = () => {
-      overlay.remove()
-      container.removeEventListener('scroll', updatePosition)
-      overlay.removeEventListener('animationend', handleAnimationEnd)
-    }
-    overlay.addEventListener('animationend', handleAnimationEnd)
-  } catch (error) {
-    logger.error('Failed to create highlight overlay:', error as Error)
-  }
-}
-
-/**
- * Scroll to element and show highlight after scroll completes
- */
-function scrollAndHighlight(element: HTMLElement, container: HTMLElement): void {
-  element.scrollIntoView({ behavior: 'smooth', block: 'start', inline: 'nearest' })
-
-  let scrollTimeout: NodeJS.Timeout
-  const handleScroll = () => {
-    clearTimeout(scrollTimeout)
-    scrollTimeout = setTimeout(() => {
-      container.removeEventListener('scroll', handleScroll)
-      requestAnimationFrame(() => createHighlightOverlay(element, container))
-    }, 150)
-  }
-
-  container.addEventListener('scroll', handleScroll)
-
-  // Fallback: if element already in view (no scroll happens)
-  setTimeout(() => {
-    const initialScrollTop = container.scrollTop
-    setTimeout(() => {
-      if (Math.abs(container.scrollTop - initialScrollTop) < 1) {
-        container.removeEventListener('scroll', handleScroll)
-        clearTimeout(scrollTimeout)
-        requestAnimationFrame(() => createHighlightOverlay(element, container))
-      }
-    }, 200)
-  }, 50)
-}
-
 const RichEditor = ({
   ref,
   initialContent = '',
@@ -523,22 +372,6 @@ const RichEditor = ({
           scrollContainerRef.current.scrollTop = value
         }
       },
-      scrollToLine: (lineNumber: number, options?: { highlight?: boolean; lineContent?: string }) => {
-        if (!editor || !scrollContainerRef.current) return
-
-        try {
-          const element = findElementByLine(editor.view.dom, lineNumber, options?.lineContent)
-          if (!element) return
-
-          if (options?.highlight) {
-            scrollAndHighlight(element, scrollContainerRef.current)
-          } else {
-            element.scrollIntoView({ behavior: 'smooth', block: 'start', inline: 'nearest' })
-          }
-        } catch (error) {
-          logger.error('Failed in scrollToLine:', error as Error)
-        }
-      },
       // Dynamic command management
       registerCommand,
       registerToolbarCommand,

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

@@ -111,8 +111,6 @@ export interface RichEditorRef {
   getScrollTop: () => number
   /** Set scrollTop of the editor scroll container */
   setScrollTop: (value: number) => void
-  /** Scroll to specific line number in markdown */
-  scrollToLine: (lineNumber: number, options?: { highlight?: boolean; lineContent?: string }) => void
   // Dynamic command management
   /** Register a new command/toolbar item */
   registerCommand: (cmd: Command) => void

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

@@ -2,7 +2,6 @@ import 'katex/dist/katex.min.css'
 
 import { TableKit } from '@cherrystudio/extension-table-plus'
 import { loggerService } from '@logger'
-import { MARKDOWN_SOURCE_LINE_ATTR } from '@renderer/components/RichEditor/constants'
 import type { FormattingState } from '@renderer/components/RichEditor/types'
 import { useCodeStyle } from '@renderer/context/CodeStyleProvider'
 import {
@@ -12,7 +11,6 @@ import {
   markdownToPreviewText
 } from '@renderer/utils/markdownConverter'
 import type { Editor } from '@tiptap/core'
-import { Extension } from '@tiptap/core'
 import { TaskItem, TaskList } from '@tiptap/extension-list'
 import { migrateMathStrings } from '@tiptap/extension-mathematics'
 import Mention from '@tiptap/extension-mention'
@@ -38,31 +36,6 @@ import { blobToArrayBuffer, compressImage, shouldCompressImage } from './helpers
 
 const logger = loggerService.withContext('useRichEditor')
 
-// Create extension to preserve data-source-line attribute
-const SourceLineAttribute = Extension.create({
-  name: 'sourceLineAttribute',
-  addGlobalAttributes() {
-    return [
-      {
-        types: ['paragraph', 'heading', 'blockquote', 'bulletList', 'orderedList', 'listItem', 'horizontalRule'],
-        attributes: {
-          dataSourceLine: {
-            default: null,
-            parseHTML: (element) => {
-              const value = element.getAttribute(MARKDOWN_SOURCE_LINE_ATTR)
-              return value
-            },
-            renderHTML: (attributes) => {
-              if (!attributes.dataSourceLine) return {}
-              return { [MARKDOWN_SOURCE_LINE_ATTR]: attributes.dataSourceLine }
-            }
-          }
-        }
-      }
-    ]
-  }
-})
-
 export interface UseRichEditorOptions {
   /** Initial markdown content */
   initialContent?: string
@@ -223,7 +196,6 @@ export const useRichEditor = (options: UseRichEditorOptions = {}): UseRichEditor
   // TipTap editor extensions
   const extensions = useMemo(
     () => [
-      SourceLineAttribute,
       StarterKit.configure({
         heading: {
           levels: [1, 2, 3, 4, 5, 6]

src/renderer/src/components/UpdateDialog.tsx

@@ -1,101 +0,0 @@
-import { Button, Modal, ModalBody, ModalContent, ModalFooter, ModalHeader, ScrollShadow } from '@heroui/react'
-import { loggerService } from '@logger'
-import { handleSaveData } from '@renderer/store'
-import { ReleaseNoteInfo, UpdateInfo } from 'builder-util-runtime'
-import React, { useEffect, useState } from 'react'
-import { useTranslation } from 'react-i18next'
-import Markdown from 'react-markdown'
-
-const logger = loggerService.withContext('UpdateDialog')
-
-interface UpdateDialogProps {
-  isOpen: boolean
-  onClose: () => void
-  releaseInfo: UpdateInfo | null
-}
-
-const UpdateDialog: React.FC<UpdateDialogProps> = ({ isOpen, onClose, releaseInfo }) => {
-  const { t } = useTranslation()
-  const [isInstalling, setIsInstalling] = useState(false)
-
-  useEffect(() => {
-    if (isOpen && releaseInfo) {
-      logger.info('Update dialog opened', { version: releaseInfo.version })
-    }
-  }, [isOpen, releaseInfo])
-
-  const handleInstall = async () => {
-    setIsInstalling(true)
-    try {
-      await handleSaveData()
-      await window.api.quitAndInstall()
-    } catch (error) {
-      logger.error('Failed to save data before update', error as Error)
-      setIsInstalling(false)
-      window.toast.error(t('update.saveDataError'))
-    }
-  }
-
-  const releaseNotes = releaseInfo?.releaseNotes
-
-  return (
-    <Modal
-      isOpen={isOpen}
-      onClose={onClose}
-      size="2xl"
-      scrollBehavior="inside"
-      classNames={{
-        base: 'max-h-[85vh]',
-        header: 'border-b border-divider',
-        footer: 'border-t border-divider'
-      }}>
-      <ModalContent>
-        {(onModalClose) => (
-          <>
-            <ModalHeader className="flex flex-col gap-1">
-              <h3 className="font-semibold text-lg">{t('update.title')}</h3>
-              <p className="text-default-500 text-small">
-                {t('update.message').replace('{{version}}', releaseInfo?.version || '')}
-              </p>
-            </ModalHeader>
-
-            <ModalBody>
-              <ScrollShadow className="max-h-[450px]" hideScrollBar>
-                <div className="markdown rounded-lg bg-default-50 p-4">
-                  <Markdown>
-                    {typeof releaseNotes === 'string'
-                      ? releaseNotes
-                      : Array.isArray(releaseNotes)
-                        ? releaseNotes
-                            .map((note: ReleaseNoteInfo) => note.note)
-                            .filter(Boolean)
-                            .join('\n\n')
-                        : t('update.noReleaseNotes')}
-                  </Markdown>
-                </div>
-              </ScrollShadow>
-            </ModalBody>
-
-            <ModalFooter>
-              <Button variant="light" onPress={onModalClose} isDisabled={isInstalling}>
-                {t('update.later')}
-              </Button>
-
-              <Button
-                color="primary"
-                onPress={async () => {
-                  await handleInstall()
-                  onModalClose()
-                }}
-                isLoading={isInstalling}>
-                {t('update.install')}
-              </Button>
-            </ModalFooter>
-          </>
-        )}
-      </ModalContent>
-    </Modal>
-  )
-}
-
-export default UpdateDialog

src/renderer/src/components/app/Navbar.tsx

@@ -67,14 +67,14 @@ const NavbarContainer = styled.div<{ $isFullScreen: boolean }>`
   flex-direction: row;
   min-height: ${isMac ? 'env(titlebar-area-height)' : 'var(--navbar-height)'};
   max-height: var(--navbar-height);
-  margin-left: ${isMac ? 'calc(var(--sidebar-width) * -1 + 2px)' : 0};
+  margin-left: ${isMac ? 'calc(var(--sidebar-width) * -1)' : 0};
   padding-left: ${({ $isFullScreen }) =>
     isMac ? ($isFullScreen ? 'var(--sidebar-width)' : 'env(titlebar-area-x)') : 0};
   -webkit-app-region: drag;
 `
 
 const NavbarLeftContainer = styled.div`
-  /* min-width: ${isMac ? 'calc(var(--assistants-width) - 20px)' : 'var(--assistants-width)'}; */
+  min-width: var(--assistants-width);
   padding: 0 10px;
   display: flex;
   flex-direction: row;

src/renderer/src/config/minapps.ts

@@ -22,6 +22,8 @@ import GithubCopilotLogo from '@renderer/assets/images/apps/github-copilot.webp?
 import GoogleAppLogo from '@renderer/assets/images/apps/google.svg?url'
 import GrokAppLogo from '@renderer/assets/images/apps/grok.png?url'
 import GrokXAppLogo from '@renderer/assets/images/apps/grok-x.png?url'
+import HikaLogo from '@renderer/assets/images/apps/hika.webp?url'
+import HuggingChatLogo from '@renderer/assets/images/apps/huggingchat.svg?url'
 import KimiAppLogo from '@renderer/assets/images/apps/kimi.webp?url'
 import LambdaChatLogo from '@renderer/assets/images/apps/lambdachat.webp?url'
 import LeChatLogo from '@renderer/assets/images/apps/lechat.png?url'
@@ -30,13 +32,13 @@ import MetasoAppLogo from '@renderer/assets/images/apps/metaso.webp?url'
 import MonicaLogo from '@renderer/assets/images/apps/monica.webp?url'
 import n8nLogo from '@renderer/assets/images/apps/n8n.svg?url'
 import NamiAiLogo from '@renderer/assets/images/apps/nm.png?url'
+import NamiAiSearchLogo from '@renderer/assets/images/apps/nm-search.webp?url'
 import NotebookLMAppLogo from '@renderer/assets/images/apps/notebooklm.svg?url'
 import PerplexityAppLogo from '@renderer/assets/images/apps/perplexity.webp?url'
 import PoeAppLogo from '@renderer/assets/images/apps/poe.webp?url'
 import QwenlmAppLogo from '@renderer/assets/images/apps/qwenlm.webp?url'
 import SensetimeAppLogo from '@renderer/assets/images/apps/sensetime.png?url'
 import SparkDeskAppLogo from '@renderer/assets/images/apps/sparkdesk.webp?url'
-import StepfunAppLogo from '@renderer/assets/images/apps/stepfun.png?url'
 import ThinkAnyLogo from '@renderer/assets/images/apps/thinkany.webp?url'
 import TiangongAiLogo from '@renderer/assets/images/apps/tiangong.png?url'
 import WanZhiAppLogo from '@renderer/assets/images/apps/wanzhi.jpg?url'
@@ -44,6 +46,7 @@ import WPSLingXiLogo from '@renderer/assets/images/apps/wpslingxi.webp?url'
 import XiaoYiAppLogo from '@renderer/assets/images/apps/xiaoyi.webp?url'
 import YouLogo from '@renderer/assets/images/apps/you.jpg?url'
 import TencentYuanbaoAppLogo from '@renderer/assets/images/apps/yuanbao.webp?url'
+import YuewenAppLogo from '@renderer/assets/images/apps/yuewen.png?url'
 import ZaiAppLogo from '@renderer/assets/images/apps/zai.png?url'
 import ZhihuAppLogo from '@renderer/assets/images/apps/zhihu.png?url'
 import ClaudeAppLogo from '@renderer/assets/images/models/claude.png?url'
@@ -147,9 +150,9 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
   },
   {
     id: 'stepfun',
-    name: i18n.t('minapps.stepfun'),
-    url: 'https://stepfun.com',
-    logo: StepfunAppLogo,
+    name: i18n.t('minapps.yuewen'),
+    url: 'https://yuewen.cn/chats/new',
+    logo: YuewenAppLogo,
     bodered: true
   },
   {
@@ -260,6 +263,13 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
     url: 'https://www.tiangong.cn/',
     bodered: true
   },
+  {
+    id: 'hugging-chat',
+    name: 'HuggingChat',
+    logo: HuggingChatLogo,
+    url: 'https://huggingface.co/chat/',
+    bodered: true
+  },
   {
     id: 'Felo',
     name: 'Felo',
@@ -287,6 +297,13 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
     url: 'https://bot.n.cn/',
     bodered: true
   },
+  {
+    id: 'nm-search',
+    name: i18n.t('minapps.nami-ai-search'),
+    logo: NamiAiSearchLogo,
+    url: 'https://www.n.cn/',
+    bodered: true
+  },
   {
     id: 'thinkany',
     name: 'ThinkAny',
@@ -297,6 +314,13 @@ const ORIGIN_DEFAULT_MIN_APPS: MinAppType[] = [
       padding: 5
     }
   },
+  {
+    id: 'hika',
+    name: 'Hika',
+    logo: HikaLogo,
+    url: 'https://hika.fyi/',
+    bodered: true
+  },
   {
     id: 'github-copilot',
     name: 'GitHub Copilot',

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

@@ -25,7 +25,7 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
     // Default quick assistant model
     glm45FlashModel
   ],
-  cherryin: [],
+  // cherryin: [],
   vertexai: [],
   '302ai': [
     {
@@ -430,12 +430,6 @@ export const SYSTEM_MODELS: Record<SystemProviderId | 'defaultModel', Model[]> =
     }
   ],
   anthropic: [
-    {
-      id: 'claude-haiku-4-5-20251001',
-      provider: 'anthropic',
-      name: 'Claude Haiku 4.5',
-      group: 'Claude 4.5'
-    },
     {
       id: 'claude-sonnet-4-5-20250929',
       provider: 'anthropic',

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

@@ -14,7 +14,7 @@ import { GEMINI_FLASH_MODEL_REGEX } from './websearch'
 
 // Reasoning models
 export const REASONING_REGEX =
-  /^(?!.*-non-reasoning\b)(o\d+(?:-[\w-]+)?|.*\b(?:reasoning|reasoner|thinking)\b.*|.*-[rR]\d+.*|.*\bqwq(?:-[\w-]+)?\b.*|.*\bhunyuan-t1(?:-[\w-]+)?\b.*|.*\bglm-zero-preview\b.*|.*\bgrok-(?:3-mini|4|4-fast)(?:-[\w-]+)?\b.*)$/i
+  /^(o\d+(?:-[\w-]+)?|.*\b(?:reasoning|reasoner|thinking)\b.*|.*-[rR]\d+.*|.*\bqwq(?:-[\w-]+)?\b.*|.*\bhunyuan-t1(?:-[\w-]+)?\b.*|.*\bglm-zero-preview\b.*|.*\bgrok-(?:3-mini|4)(?:-[\w-]+)?\b.*)$/i
 
 // 模型类型到支持的reasoning_effort的映射表
 // TODO: refactor this. too many identical options
@@ -24,7 +24,6 @@ export const MODEL_SUPPORTED_REASONING_EFFORT: ReasoningEffortConfig = {
   gpt5: ['minimal', 'low', 'medium', 'high'] as const,
   gpt5_codex: ['low', 'medium', 'high'] as const,
   grok: ['low', 'high'] as const,
-  grok4_fast: ['auto'] as const,
   gemini: ['low', 'medium', 'high', 'auto'] as const,
   gemini_pro: ['low', 'medium', 'high', 'auto'] as const,
   qwen: ['low', 'medium', 'high'] as const,
@@ -44,7 +43,6 @@ export const MODEL_SUPPORTED_OPTIONS: ThinkingOptionConfig = {
   gpt5: [...MODEL_SUPPORTED_REASONING_EFFORT.gpt5] as const,
   gpt5_codex: MODEL_SUPPORTED_REASONING_EFFORT.gpt5_codex,
   grok: MODEL_SUPPORTED_REASONING_EFFORT.grok,
-  grok4_fast: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.grok4_fast] as const,
   gemini: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.gemini] as const,
   gemini_pro: MODEL_SUPPORTED_REASONING_EFFORT.gemini_pro,
   qwen: ['off', ...MODEL_SUPPORTED_REASONING_EFFORT.qwen] as const,
@@ -68,8 +66,6 @@ export const getThinkModelType = (model: Model): ThinkingModelType => {
     }
   } else if (isSupportedReasoningEffortOpenAIModel(model)) {
     thinkingModelType = 'o'
-  } else if (isGrok4FastReasoningModel(model)) {
-    thinkingModelType = 'grok4_fast'
   } else if (isSupportedThinkingTokenGeminiModel(model)) {
     if (GEMINI_FLASH_MODEL_REGEX.test(model.id)) {
       thinkingModelType = 'gemini'
@@ -146,46 +142,19 @@ export function isSupportedReasoningEffortGrokModel(model?: Model): boolean {
   }
 
   const modelId = getLowerBaseModelName(model.id)
-  const providerId = model.provider.toLowerCase()
   if (modelId.includes('grok-3-mini')) {
     return true
   }
 
-  if (providerId === 'openrouter' && modelId.includes('grok-4-fast')) {
-    return true
-  }
-
   return false
 }
 
-/**
- * Checks if the model is Grok 4 Fast reasoning version
- * Explicitly excludes non-reasoning variants (models with 'non-reasoning' in their ID)
- *
- * Note: XAI official uses different model IDs for reasoning vs non-reasoning
- * Third-party providers like OpenRouter expose a single ID with reasoning parameters, while first-party providers require separate IDs. Only the OpenRouter variant supports toggling.
- *
- * @param model - The model to check
- * @returns true if the model is a reasoning-enabled Grok 4 Fast model
- */
-export function isGrok4FastReasoningModel(model?: Model): boolean {
-  if (!model) {
-    return false
-  }
-
-  const modelId = getLowerBaseModelName(model.id)
-  return modelId.includes('grok-4-fast') && !modelId.includes('non-reasoning')
-}
-
 export function isGrokReasoningModel(model?: Model): boolean {
   if (!model) {
     return false
   }
   const modelId = getLowerBaseModelName(model.id)
-  if (
-    isSupportedReasoningEffortGrokModel(model) ||
-    (modelId.includes('grok-4') && !modelId.includes('non-reasoning'))
-  ) {
+  if (isSupportedReasoningEffortGrokModel(model) || modelId.includes('grok-4')) {
     return true
   }
 
@@ -296,11 +265,7 @@ export function isQwenAlwaysThinkModel(model?: Model): boolean {
     return false
   }
   const modelId = getLowerBaseModelName(model.id, '/')
-  // 包括 qwen3 开头的 thinking 模型和 qwen3-vl 的 thinking 模型
-  return (
-    (modelId.startsWith('qwen3') && modelId.includes('thinking')) ||
-    (modelId.includes('qwen3-vl') && modelId.includes('thinking'))
-  )
+  return modelId.startsWith('qwen3') && modelId.includes('thinking')
 }
 
 // Doubao 支持思考模式的模型正则
@@ -335,8 +300,7 @@ export function isClaudeReasoningModel(model?: Model): boolean {
     modelId.includes('claude-3-7-sonnet') ||
     modelId.includes('claude-3.7-sonnet') ||
     modelId.includes('claude-sonnet-4') ||
-    modelId.includes('claude-opus-4') ||
-    modelId.includes('claude-haiku-4')
+    modelId.includes('claude-opus-4')
   )
 }
 
@@ -365,10 +329,7 @@ export const isPerplexityReasoningModel = (model?: Model): boolean => {
   }
 
   const modelId = getLowerBaseModelName(model.id, '/')
-  return (
-    isSupportedReasoningEffortPerplexityModel(model) ||
-    (modelId.includes('reasoning') && !modelId.includes('non-reasoning'))
-  )
+  return isSupportedReasoningEffortPerplexityModel(model) || modelId.includes('reasoning')
 }
 
 export const isSupportedReasoningEffortPerplexityModel = (model: Model): boolean => {
@@ -482,8 +443,6 @@ export const THINKING_TOKEN_MAP: Record<string, { min: number; max: number }> =
   // qwen-plus-x 系列自 qwen-plus-2025-07-28 后模型最长思维链变为 81_920, qwen-plus 模型于 2025.9.16 同步变更
   'qwen3-235b-a22b-thinking-2507$': { min: 0, max: 81_920 },
   'qwen3-30b-a3b-thinking-2507$': { min: 0, max: 81_920 },
-  'qwen3-vl-235b-a22b-thinking$': { min: 0, max: 81_920 },
-  'qwen3-vl-30b-a3b-thinking$': { min: 0, max: 81_920 },
   'qwen-plus-2025-07-14$': { min: 0, max: 38_912 },
   'qwen-plus-2025-04-28$': { min: 0, max: 38_912 },
   'qwen3-1\\.7b$': { min: 0, max: 30_720 },
@@ -494,9 +453,8 @@ export const THINKING_TOKEN_MAP: Record<string, { min: number; max: number }> =
   'qwen3-(?!max).*$': { min: 1024, max: 38_912 },
 
   // Claude models
-  'claude-3[.-]7.*sonnet.*$': { min: 1024, max: 64_000 },
-  'claude-(:?haiku|sonnet)-4.*$': { min: 1024, max: 64_000 },
-  'claude-opus-4-1.*$': { min: 1024, max: 32_000 }
+  'claude-3[.-]7.*sonnet.*$': { min: 1024, max: 64000 },
+  'claude-(:?sonnet|opus)-4.*$': { min: 1024, max: 32000 }
 }
 
 export const findTokenLimit = (modelId: string): { min: number; max: number } | undefined => {

src/renderer/src/config/models/utils.ts

@@ -1,4 +1,3 @@
-import { isEmbeddingModel, isRerankModel } from '@renderer/config/models/embedding'
 import { Model } from '@renderer/types'
 import { getLowerBaseModelName } from '@renderer/utils'
 import OpenAI from 'openai'
@@ -6,7 +5,7 @@ import OpenAI from 'openai'
 import { WEB_SEARCH_PROMPT_FOR_OPENROUTER } from '../prompts'
 import { getWebSearchTools } from '../tools'
 import { isOpenAIReasoningModel } from './reasoning'
-import { isGenerateImageModel, isTextToImageModel, isVisionModel } from './vision'
+import { isGenerateImageModel, isVisionModel } from './vision'
 import { isOpenAIWebSearchChatCompletionOnlyModel } from './websearch'
 export const NOT_SUPPORTED_REGEX = /(?:^tts|whisper|speech)/i
 
@@ -247,7 +246,3 @@ export const isOpenAIOpenWeightModel = (model: Model) => {
 
 // zhipu 视觉推理模型用这组 special token 标记推理结果
 export const ZHIPU_RESULT_TOKENS = ['<|begin_of_box|>', '<|end_of_box|>'] as const
-
-export const agentModelFilter = (model: Model): boolean => {
-  return !isEmbeddingModel(model) && !isRerankModel(model) && !isTextToImageModel(model)
-}

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

@@ -15,7 +15,6 @@ const visionAllowedModels = [
   'gemini-(flash|pro|flash-lite)-latest',
   'gemini-exp',
   'claude-3',
-  'claude-haiku-4',
   'claude-sonnet-4',
   'claude-opus-4',
   'vision',
@@ -25,7 +24,7 @@ const visionAllowedModels = [
   'qwen2.5-vl',
   'qwen3-vl',
   'qwen2.5-omni',
-  'qwen3-omni(?:-[\\w-]+)?',
+  'qwen3-omni',
   'qvq',
   'internvl2',
   'grok-vision-beta',
@@ -83,14 +82,14 @@ export const IMAGE_ENHANCEMENT_MODELS = [
   'grok-2-image(?:-[\\w-]+)?',
   'qwen-image-edit',
   'gpt-image-1',
-  'gemini-2.5-flash-image',
+  'gemini-2.5-flash-image-preview',
   'gemini-2.0-flash-preview-image-generation'
 ]
 
 const IMAGE_ENHANCEMENT_MODELS_REGEX = new RegExp(IMAGE_ENHANCEMENT_MODELS.join('|'), 'i')
 
 // Models that should auto-enable image generation button when selected
-export const AUTO_ENABLE_IMAGE_MODELS = ['gemini-2.5-flash-image', ...DEDICATED_IMAGE_MODELS]
+export const AUTO_ENABLE_IMAGE_MODELS = ['gemini-2.5-flash-image-preview', ...DEDICATED_IMAGE_MODELS]
 
 export const OPENAI_TOOL_USE_IMAGE_GENERATION_MODELS = [
   'o3',
@@ -108,7 +107,7 @@ export const GENERATE_IMAGE_MODELS = [
   'gemini-2.0-flash-exp',
   'gemini-2.0-flash-exp-image-generation',
   'gemini-2.0-flash-preview-image-generation',
-  'gemini-2.5-flash-image',
+  'gemini-2.5-flash-image-preview',
   ...DEDICATED_IMAGE_MODELS
 ]
 

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

@@ -7,7 +7,7 @@ import { isAnthropicModel } from './utils'
 import { isPureGenerateImageModel, isTextToImageModel } from './vision'
 
 export const CLAUDE_SUPPORTED_WEBSEARCH_REGEX = new RegExp(
-  `\\b(?:claude-3(-|\\.)(7|5)-sonnet(?:-[\\w-]+)|claude-3(-|\\.)5-haiku(?:-[\\w-]+)|claude-(haiku|sonnet|opus)-4(?:-[\\w-]+)?)\\b`,
+  `\\b(?:claude-3(-|\\.)(7|5)-sonnet(?:-[\\w-]+)|claude-3(-|\\.)5-haiku(?:-[\\w-]+)|claude-sonnet-4(?:-[\\w-]+)?|claude-opus-4(?:-[\\w-]+)?)\\b`,
   'i'
 )
 

src/renderer/src/config/ocr.ts

@@ -1,7 +1,6 @@
 import {
   BuiltinOcrProvider,
   BuiltinOcrProviderId,
-  OcrOvProvider,
   OcrPpocrProvider,
   OcrProviderCapability,
   OcrSystemProvider,
@@ -51,23 +50,10 @@ const ppocrOcr: OcrPpocrProvider = {
   }
 } as const
 
-const ovOcr: OcrOvProvider = {
-  id: 'ovocr',
-  name: 'Intel OV(NPU) OCR',
-  config: {
-    langs: isWin ? ['en-us', 'zh-cn'] : undefined
-  },
-  capabilities: {
-    image: true
-    // pdf: true
-  }
-} as const satisfies OcrOvProvider
-
 export const BUILTIN_OCR_PROVIDERS_MAP = {
   tesseract,
   system: systemOcr,
-  paddleocr: ppocrOcr,
-  ovocr: ovOcr
+  paddleocr: ppocrOcr
 } as const satisfies Record<BuiltinOcrProviderId, BuiltinOcrProvider>
 
 export const BUILTIN_OCR_PROVIDERS: BuiltinOcrProvider[] = Object.values(BUILTIN_OCR_PROVIDERS_MAP)

src/renderer/src/config/providers.ts

@@ -58,6 +58,7 @@ import ZhipuProviderLogo from '@renderer/assets/images/providers/zhipu.png'
 import {
   AtLeast,
   isSystemProvider,
+  Model,
   OpenAIServiceTiers,
   Provider,
   ProviderType,
@@ -81,17 +82,16 @@ export const CHERRYAI_PROVIDER: SystemProvider = {
 }
 
 export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> = {
-  cherryin: {
-    id: 'cherryin',
-    name: 'CherryIN',
-    type: 'openai',
-    apiKey: '',
-    apiHost: 'https://open.cherryin.net',
-    anthropicApiHost: 'https://open.cherryin.net',
-    models: [],
-    isSystem: true,
-    enabled: true
-  },
+  // cherryin: {
+  //   id: 'cherryin',
+  //   name: 'CherryIN',
+  //   type: 'openai',
+  //   apiKey: '',
+  //   apiHost: 'https://open.cherryin.ai',
+  //   models: [],
+  //   isSystem: true,
+  //   enabled: true
+  // },
   silicon: {
     id: 'silicon',
     name: 'Silicon',
@@ -109,6 +109,7 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
     apiKey: '',
     apiHost: 'https://aihubmix.com',
     anthropicApiHost: 'https://aihubmix.com/anthropic',
+    isAnthropicModel: (m: Model) => m.id.includes('claude'),
     models: SYSTEM_MODELS.aihubmix,
     isSystem: true,
     enabled: false
@@ -288,7 +289,7 @@ export const SYSTEM_PROVIDERS_CONFIG: Record<SystemProviderId, SystemProvider> =
   'new-api': {
     id: 'new-api',
     name: 'New API',
-    type: 'new-api',
+    type: 'openai',
     apiKey: '',
     apiHost: 'http://localhost:3000',
     anthropicApiHost: 'http://localhost:3000',
@@ -741,17 +742,17 @@ type ProviderUrls = {
 }
 
 export const PROVIDER_URLS: Record<SystemProviderId, ProviderUrls> = {
-  cherryin: {
-    api: {
-      url: 'https://open.cherryin.net'
-    },
-    websites: {
-      official: 'https://open.cherryin.ai',
-      apiKey: 'https://open.cherryin.ai/console/token',
-      docs: 'https://open.cherryin.ai',
-      models: 'https://open.cherryin.ai/pricing'
-    }
-  },
+  // cherryin: {
+  //   api: {
+  //     url: 'https://open.cherryin.ai'
+  //   },
+  //   websites: {
+  //     official: 'https://open.cherryin.ai',
+  //     apiKey: 'https://open.cherryin.ai/console/token',
+  //     docs: 'https://open.cherryin.ai',
+  //     models: 'https://open.cherryin.ai/pricing'
+  //   }
+  // },
   ph8: {
     api: {
       url: 'https://ph8.co'
@@ -1431,5 +1432,5 @@ export const isGeminiWebSearchProvider = (provider: Provider) => {
 }
 
 export const isNewApiProvider = (provider: Provider) => {
-  return ['new-api', 'cherryin'].includes(provider.id) || provider.type === 'new-api'
+  return ['new-api', 'cherryin'].includes(provider.id)
 }

src/renderer/src/hooks/agents/types.ts

@@ -1,4 +0,0 @@
-export type UpdateAgentBaseOptions = {
-  /** Whether to show success toast after updating. Defaults to true. */
-  showSuccessToast?: boolean
-}

src/renderer/src/hooks/agents/useActiveAgent.ts

@@ -1,8 +0,0 @@
-import { useRuntime } from '../useRuntime'
-import { useAgent } from './useAgent'
-
-export const useActiveAgent = () => {
-  const { chat } = useRuntime()
-  const { activeAgentId } = chat
-  return useAgent(activeAgentId)
-}

src/renderer/src/hooks/agents/useActiveSession.ts

@@ -1,9 +0,0 @@
-import { useRuntime } from '../useRuntime'
-import { useSession } from './useSession'
-
-export const useActiveSession = () => {
-  const { chat } = useRuntime()
-  const { activeSessionIdMap, activeAgentId } = chat
-  const activeSessionId = activeAgentId ? activeSessionIdMap[activeAgentId] : null
-  return useSession(activeAgentId, activeSessionId)
-}

src/renderer/src/hooks/agents/useAgent.ts

@@ -1,28 +1,18 @@
 import { useCallback } from 'react'
-import { useTranslation } from 'react-i18next'
 import useSWR from 'swr'
 
-import { useApiServer } from '../useApiServer'
 import { useAgentClient } from './useAgentClient'
 
 export const useAgent = (id: string | null) => {
-  const { t } = useTranslation()
   const client = useAgentClient()
   const key = id ? client.agentPaths.withId(id) : null
-  const { apiServerConfig, apiServerRunning } = useApiServer()
   const fetcher = useCallback(async () => {
-    if (!id) {
-      throw new Error(t('agent.get.error.null_id'))
-    }
-    if (!apiServerConfig.enabled) {
-      throw new Error(t('apiServer.messages.notEnabled'))
-    }
-    if (!apiServerRunning) {
-      throw new Error(t('agent.server.error.not_running'))
+    if (!id || id === 'fake') {
+      return null
     }
     const result = await client.getAgent(id)
     return result
-  }, [apiServerConfig.enabled, apiServerRunning, client, id, t])
+  }, [client, id])
   const { data, error, isLoading } = useSWR(key, id ? fetcher : null)
 
   return {

src/renderer/src/hooks/agents/useAgentSessionInitializer.ts

@@ -17,7 +17,7 @@ export const useAgentSessionInitializer = () => {
   const dispatch = useAppDispatch()
   const client = useAgentClient()
   const { chat } = useRuntime()
-  const { activeAgentId, activeSessionIdMap } = chat
+  const { activeAgentId, activeSessionId } = chat
 
   /**
    * Initialize session for the given agent by loading its sessions
@@ -25,11 +25,11 @@ export const useAgentSessionInitializer = () => {
    */
   const initializeAgentSession = useCallback(
     async (agentId: string) => {
-      if (!agentId) return
+      if (!agentId || agentId === 'fake') return
 
       try {
         // Check if this agent already has an active session
-        const currentSessionId = activeSessionIdMap[agentId]
+        const currentSessionId = activeSessionId[agentId]
         if (currentSessionId) {
           // Session already exists, just switch to session view
           dispatch(setActiveTopicOrSessionAction('session'))
@@ -58,21 +58,21 @@ export const useAgentSessionInitializer = () => {
         dispatch(setActiveTopicOrSessionAction('session'))
       }
     },
-    [client, dispatch, activeSessionIdMap]
+    [client, dispatch, activeSessionId]
   )
 
   /**
    * Auto-initialize when activeAgentId changes
    */
   useEffect(() => {
-    if (activeAgentId) {
+    if (activeAgentId && activeAgentId !== 'fake') {
       // Check if we need to initialize this agent's session
-      const hasActiveSession = activeSessionIdMap[activeAgentId]
+      const hasActiveSession = activeSessionId[activeAgentId]
       if (!hasActiveSession) {
         initializeAgentSession(activeAgentId)
       }
     }
-  }, [activeAgentId, activeSessionIdMap, initializeAgentSession])
+  }, [activeAgentId, activeSessionId, initializeAgentSession])
 
   return {
     initializeAgentSession

src/renderer/src/hooks/agents/useAgents.ts

@@ -6,7 +6,6 @@ import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import useSWR from 'swr'
 
-import { useApiServer } from '../useApiServer'
 import { useRuntime } from '../useRuntime'
 import { useAgentClient } from './useAgentClient'
 
@@ -24,19 +23,11 @@ export const useAgents = () => {
   const { t } = useTranslation()
   const client = useAgentClient()
   const key = client.agentPaths.base
-  const { apiServerConfig, apiServerRunning } = useApiServer()
   const fetcher = useCallback(async () => {
-    // API server will start on startup if enabled OR there are agents
-    if (!apiServerConfig.enabled && !apiServerRunning) {
-      throw new Error(t('apiServer.messages.notEnabled'))
-    }
-    if (!apiServerRunning) {
-      throw new Error(t('agent.server.error.not_running'))
-    }
     const result = await client.listAgents()
     // NOTE: We only use the array for now. useUpdateAgent depends on this behavior.
     return result.data
-  }, [apiServerConfig.enabled, apiServerRunning, client, t])
+  }, [client])
   const { data, error, isLoading, mutate } = useSWR(key, fetcher)
   const { chat } = useRuntime()
   const { activeAgentId } = chat

src/renderer/src/hooks/agents/useSession.ts

@@ -1,24 +1,21 @@
 import { useAppDispatch } from '@renderer/store'
 import { loadTopicMessagesThunk } from '@renderer/store/thunk/messageThunk'
+import { UpdateSessionForm } from '@renderer/types'
 import { buildAgentSessionTopicId } from '@renderer/utils/agentSession'
-import { useEffect, useMemo } from 'react'
+import { useCallback, useEffect, useMemo } from 'react'
 import { useTranslation } from 'react-i18next'
 import useSWR from 'swr'
 
 import { useAgentClient } from './useAgentClient'
-import { useUpdateSession } from './useUpdateSession'
 
-export const useSession = (agentId: string | null, sessionId: string | null) => {
+export const useSession = (agentId: string, sessionId: string) => {
   const { t } = useTranslation()
   const client = useAgentClient()
-  const key = agentId && sessionId ? client.getSessionPaths(agentId).withId(sessionId) : null
+  const key = client.getSessionPaths(agentId).withId(sessionId)
   const dispatch = useAppDispatch()
-  const sessionTopicId = useMemo(() => (sessionId ? buildAgentSessionTopicId(sessionId) : null), [sessionId])
-  const { updateSession } = useUpdateSession(agentId)
+  const sessionTopicId = useMemo(() => buildAgentSessionTopicId(sessionId), [sessionId])
 
   const fetcher = async () => {
-    if (!agentId) throw new Error(t('agent.get.error.null_id'))
-    if (!sessionId) throw new Error(t('agent.session.get.error.null_id'))
     const data = await client.getSession(agentId, sessionId)
     return data
   }
@@ -27,13 +24,26 @@ export const useSession = (agentId: string | null, sessionId: string | null) =>
   // Use loadTopicMessagesThunk to load messages (with caching mechanism)
   // This ensures messages are preserved when switching between sessions/tabs
   useEffect(() => {
-    if (sessionTopicId) {
+    if (sessionId) {
       // loadTopicMessagesThunk will check if messages already exist in Redux
       // and skip loading if they do (unless forceReload is true)
       dispatch(loadTopicMessagesThunk(sessionTopicId))
     }
   }, [dispatch, sessionId, sessionTopicId])
 
+  const updateSession = useCallback(
+    async (form: UpdateSessionForm) => {
+      if (!agentId) return
+      try {
+        const result = await client.updateSession(agentId, form)
+        mutate(result)
+      } catch (error) {
+        window.toast.error(t('agent.session.update.error.failed'))
+      }
+    },
+    [agentId, client, mutate, t]
+  )
+
   return {
     session: data,
     error,

src/renderer/src/hooks/agents/useSessions.ts

@@ -1,4 +1,4 @@
-import { CreateAgentSessionResponse, CreateSessionForm, GetAgentSessionResponse } from '@renderer/types'
+import { CreateSessionForm } from '@renderer/types'
 import { formatErrorMessageWithPrefix } from '@renderer/utils/error'
 import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
@@ -6,50 +6,46 @@ import useSWR from 'swr'
 
 import { useAgentClient } from './useAgentClient'
 
-export const useSessions = (agentId: string | null) => {
+export const useSessions = (agentId: string) => {
   const { t } = useTranslation()
   const client = useAgentClient()
-  const key = agentId ? client.getSessionPaths(agentId).base : null
+  const key = client.getSessionPaths(agentId).base
 
   const fetcher = async () => {
-    if (!agentId) throw new Error('No active agent.')
     const data = await client.listSessions(agentId)
     return data.data
   }
   const { data, error, isLoading, mutate } = useSWR(key, fetcher)
 
   const createSession = useCallback(
-    async (form: CreateSessionForm): Promise<CreateAgentSessionResponse | null> => {
-      if (!agentId) return null
+    async (form: CreateSessionForm) => {
       try {
         const result = await client.createSession(agentId, form)
-        await mutate((prev) => [result, ...(prev ?? [])], { revalidate: false })
+        await mutate((prev) => [...(prev ?? []), result], { revalidate: false })
         return result
       } catch (error) {
         window.toast.error(formatErrorMessageWithPrefix(error, t('agent.session.create.error.failed')))
-        return null
+        return undefined
       }
     },
     [agentId, client, mutate, t]
   )
 
+  // TODO: including messages field
   const getSession = useCallback(
-    async (id: string): Promise<GetAgentSessionResponse | null> => {
-      if (!agentId) return null
+    async (id: string) => {
       try {
         const result = await client.getSession(agentId, id)
         mutate((prev) => prev?.map((session) => (session.id === result.id ? result : session)))
-        return result
       } catch (error) {
         window.toast.error(formatErrorMessageWithPrefix(error, t('agent.session.get.error.failed')))
-        return null
       }
     },
     [agentId, client, mutate, t]
   )
 
   const deleteSession = useCallback(
-    async (id: string): Promise<boolean> => {
+    async (id: string) => {
       if (!agentId) return false
       try {
         await client.deleteSession(agentId, id)

src/renderer/src/hooks/agents/useUpdateAgent.ts

@@ -4,16 +4,20 @@ import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import { mutate } from 'swr'
 
-import { UpdateAgentBaseOptions } from './types'
 import { useAgentClient } from './useAgentClient'
 
+export type UpdateAgentOptions = {
+  /** Whether to show success toast after updating. Defaults to true. */
+  showSuccessToast?: boolean
+}
+
 export const useUpdateAgent = () => {
   const { t } = useTranslation()
   const client = useAgentClient()
   const listKey = client.agentPaths.base
 
   const updateAgent = useCallback(
-    async (form: UpdateAgentForm, options?: UpdateAgentBaseOptions) => {
+    async (form: UpdateAgentForm, options?: UpdateAgentOptions) => {
       try {
         const itemKey = client.agentPaths.withId(form.id)
         // may change to optimistic update
@@ -31,7 +35,7 @@ export const useUpdateAgent = () => {
   )
 
   const updateModel = useCallback(
-    async (agentId: string, modelId: string, options?: UpdateAgentBaseOptions) => {
+    async (agentId: string, modelId: string, options?: UpdateAgentOptions) => {
       updateAgent({ id: agentId, model: modelId }, options)
     },
     [updateAgent]

src/renderer/src/hooks/agents/useUpdateSession.ts

@@ -1,21 +1,19 @@
 import { ListAgentSessionsResponse, UpdateSessionForm } from '@renderer/types'
-import { getErrorMessage } from '@renderer/utils/error'
+import { formatErrorMessageWithPrefix } from '@renderer/utils/error'
 import { useCallback } from 'react'
 import { useTranslation } from 'react-i18next'
 import { mutate } from 'swr'
 
-import { UpdateAgentBaseOptions } from './types'
 import { useAgentClient } from './useAgentClient'
 
-export const useUpdateSession = (agentId: string | null) => {
+export const useUpdateSession = (agentId: string) => {
   const { t } = useTranslation()
   const client = useAgentClient()
+  const paths = client.getSessionPaths(agentId)
+  const listKey = paths.base
 
   const updateSession = useCallback(
-    async (form: UpdateSessionForm, options?: UpdateAgentBaseOptions) => {
-      if (!agentId) return
-      const paths = client.getSessionPaths(agentId)
-      const listKey = paths.base
+    async (form: UpdateSessionForm) => {
       const sessionId = form.id
       try {
         const itemKey = paths.withId(sessionId)
@@ -26,29 +24,13 @@ export const useUpdateSession = (agentId: string | null) => {
           (prev) => prev?.map((session) => (session.id === result.id ? result : session)) ?? []
         )
         mutate(itemKey, result)
-        if (options?.showSuccessToast ?? true) {
-          window.toast.success(t('common.update_success'))
-        }
+        window.toast.success(t('common.update_success'))
       } catch (error) {
-        window.toast.error({ title: t('agent.session.update.error.failed'), description: getErrorMessage(error) })
+        window.toast.error(formatErrorMessageWithPrefix(error, t('agent.update.error.failed')))
       }
     },
-    [agentId, client, t]
+    [agentId, client, listKey, paths, t]
   )
 
-  const updateModel = useCallback(
-    async (sessionId: string, modelId: string, options?: UpdateAgentBaseOptions) => {
-      if (!agentId) return
-      return updateSession(
-        {
-          id: sessionId,
-          model: modelId
-        },
-        options
-      )
-    },
-    [agentId, updateSession]
-  )
-
-  return { updateSession, updateModel }
+  return updateSession
 }

src/renderer/src/hooks/useApiServer.ts

@@ -1,112 +0,0 @@
-import { loggerService } from '@logger'
-import { useAppDispatch, useAppSelector } from '@renderer/store'
-import { setApiServerEnabled as setApiServerEnabledAction } from '@renderer/store/settings'
-import { useCallback, useEffect, useState } from 'react'
-import { useTranslation } from 'react-i18next'
-
-const logger = loggerService.withContext('useApiServer')
-
-export const useApiServer = () => {
-  const { t } = useTranslation()
-  // FIXME: We currently store two copies of the config data in both the renderer and the main processes,
-  // which carries the risk of data inconsistency. This should be modified so that the main process stores
-  // the data, and the renderer retrieves it.
-  const apiServerConfig = useAppSelector((state) => state.settings.apiServer)
-  const dispatch = useAppDispatch()
-
-  // Optimistic initial state.
-  const [apiServerRunning, setApiServerRunning] = useState(apiServerConfig.enabled)
-  const [apiServerLoading, setApiServerLoading] = useState(true)
-
-  const setApiServerEnabled = useCallback(
-    (enabled: boolean) => {
-      dispatch(setApiServerEnabledAction(enabled))
-    },
-    [dispatch]
-  )
-
-  // API Server functions
-  const checkApiServerStatus = useCallback(async () => {
-    setApiServerLoading(true)
-    try {
-      const status = await window.api.apiServer.getStatus()
-      setApiServerRunning(status.running)
-    } catch (error: any) {
-      logger.error('Failed to check API server status:', error)
-    } finally {
-      setApiServerLoading(false)
-    }
-  }, [])
-
-  const startApiServer = useCallback(async () => {
-    if (apiServerLoading) return
-
-    setApiServerLoading(true)
-    try {
-      const result = await window.api.apiServer.start()
-      if (result.success) {
-        setApiServerRunning(true)
-        window.toast.success(t('apiServer.messages.startSuccess'))
-      } else {
-        window.toast.error(t('apiServer.messages.startError') + result.error)
-      }
-    } catch (error: any) {
-      window.toast.error(t('apiServer.messages.startError') + (error.message || error))
-    } finally {
-      setApiServerLoading(false)
-    }
-  }, [apiServerLoading, t])
-
-  const stopApiServer = useCallback(async () => {
-    if (apiServerLoading) return
-
-    setApiServerLoading(true)
-    try {
-      const result = await window.api.apiServer.stop()
-      if (result.success) {
-        setApiServerRunning(false)
-        window.toast.success(t('apiServer.messages.stopSuccess'))
-      } else {
-        window.toast.error(t('apiServer.messages.stopError') + result.error)
-      }
-    } catch (error: any) {
-      window.toast.error(t('apiServer.messages.stopError') + (error.message || error))
-    } finally {
-      setApiServerLoading(false)
-    }
-  }, [apiServerLoading, t])
-
-  const restartApiServer = useCallback(async () => {
-    if (apiServerLoading) return
-
-    setApiServerLoading(true)
-    try {
-      const result = await window.api.apiServer.restart()
-      if (result.success) {
-        await checkApiServerStatus()
-        window.toast.success(t('apiServer.messages.restartSuccess'))
-      } else {
-        window.toast.error(t('apiServer.messages.restartError') + result.error)
-      }
-    } catch (error) {
-      window.toast.error(t('apiServer.messages.restartFailed') + (error as Error).message)
-    } finally {
-      setApiServerLoading(false)
-    }
-  }, [apiServerLoading, checkApiServerStatus, t])
-
-  useEffect(() => {
-    checkApiServerStatus()
-  }, [checkApiServerStatus])
-
-  return {
-    apiServerConfig,
-    apiServerRunning,
-    apiServerLoading,
-    startApiServer,
-    stopApiServer,
-    restartApiServer,
-    checkApiServerStatus,
-    setApiServerEnabled
-  }
-}

src/renderer/src/hooks/useKnowledge.ts

@@ -360,7 +360,7 @@ export const useKnowledgeBases = () => {
   const deleteKnowledgeBase = (baseId: string) => {
     const base = bases.find((b) => b.id === baseId)
     if (!base) return
-    dispatch(deleteBase({ baseId }))
+    dispatch(deleteBase({ baseId, baseParams: getKnowledgeBaseParams(base) }))
 
     // remove assistant knowledge_base
     const _assistants = assistants.map((assistant) => {

src/renderer/src/hooks/useOcrProvider.tsx

@@ -1,5 +1,4 @@
 import { loggerService } from '@logger'
-import IntelLogo from '@renderer/assets/images/providers/intel.png'
 import PaddleocrLogo from '@renderer/assets/images/providers/paddleocr.png'
 import TesseractLogo from '@renderer/assets/images/providers/Tesseract.js.png'
 import { BUILTIN_OCR_PROVIDERS_MAP, DEFAULT_OCR_PROVIDER } from '@renderer/config/ocr'
@@ -84,8 +83,6 @@ export const useOcrProviders = () => {
           return <MonitorIcon size={size} />
         case 'paddleocr':
           return <Avatar size={size} src={PaddleocrLogo} />
-        case 'ovocr':
-          return <Avatar size={size} src={IntelLogo} />
       }
     }
     return <FileQuestionMarkIcon size={size} />

src/renderer/src/i18n/label.ts

@@ -329,8 +329,7 @@ const builtInMcpDescriptionKeyMap: Record<BuiltinMCPServerName, string> = {
   [BuiltinMCPServerNames.fetch]: 'settings.mcp.builtinServersDescriptions.fetch',
   [BuiltinMCPServerNames.filesystem]: 'settings.mcp.builtinServersDescriptions.filesystem',
   [BuiltinMCPServerNames.difyKnowledge]: 'settings.mcp.builtinServersDescriptions.dify_knowledge',
-  [BuiltinMCPServerNames.python]: 'settings.mcp.builtinServersDescriptions.python',
-  [BuiltinMCPServerNames.didiMCP]: 'settings.mcp.builtinServersDescriptions.didi_mcp'
+  [BuiltinMCPServerNames.python]: 'settings.mcp.builtinServersDescriptions.python'
 } as const
 
 export const getBuiltInMcpServerDescriptionLabel = (key: string): string => {
@@ -340,14 +339,12 @@ export const getBuiltInMcpServerDescriptionLabel = (key: string): string => {
 const builtinOcrProviderKeyMap = {
   system: 'ocr.builtin.system',
   tesseract: '',
-  paddleocr: '',
-  ovocr: ''
+  paddleocr: ''
 } as const satisfies Record<BuiltinOcrProviderId, string>
 
 export const getBuiltinOcrProviderLabel = (key: BuiltinOcrProviderId) => {
   if (key === 'tesseract') return 'Tesseract'
   else if (key == 'paddleocr') return 'PaddleOCR'
-  else if (key == 'ovocr') return 'Intel OV(NPU) OCR'
   else return getLabel(builtinOcrProviderKeyMap, key)
 }
 

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "Failed to get the agent.",
-        "null_id": "Agent ID is null."
+        "failed": "Failed to get the agent."
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "Failed to list agents."
       }
     },
-    "server": {
-      "error": {
-        "not_running": "The API server is enabled but not running properly."
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "Add directory",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "Failed to get the session",
-          "null_id": "Session ID is null"
+          "failed": "Failed to get the session"
         }
       },
       "label_one": "Session",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "API Key copied to clipboard",
       "apiKeyRegenerated": "API Key regenerated",
-      "notEnabled": "The API Server is not enabled.",
       "operationFailed": "API Server operation failed: ",
       "restartError": "Failed to restart API Server: ",
       "restartFailed": "API Server restart failed: ",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "Nami AI Search",
     "qwen": "Qwen",
     "sensechat": "SenseChat",
-    "stepfun": "Stepfun",
     "tencent-yuanbao": "Yuanbao",
     "tiangong-ai": "Skywork",
     "wanzhi": "Wanzhi",
     "wenxin": "ERNIE",
     "wps-copilot": "WPS Copilot",
     "xiaoyi": "Xiaoyi",
+    "yuewen": "Yuewen",
     "zhihu": "Zhihu"
   },
   "miniwindow": {
@@ -1959,14 +1951,6 @@
     "rename": "Rename",
     "rename_changed": "Due to security policies, the filename has been changed from {{original}} to {{final}}",
     "save": "Save to Notes",
-    "search": {
-      "both": "Name+Content",
-      "content": "Content",
-      "found_results": "Found {{count}} results (Name: {{nameCount}}, Content: {{contentCount}})",
-      "more_matches": "more matches",
-      "searching": "Searching...",
-      "show_less": "Show less"
-    },
     "settings": {
       "data": {
         "apply": "Apply",
@@ -2051,7 +2035,6 @@
       "provider": {
         "cannot_remove_builtin": "Cannot delete built-in provider",
         "existing": "The provider already exists",
-        "get_providers": "Failed to get available providers",
         "not_found": "OCR provider does not exist",
         "update_failed": "Failed to update configuration"
       },
@@ -2113,10 +2096,8 @@
       "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": "Failed to install OVMS runtime",
-      "install_code_105": "Failed to create ovdnd.exe",
-      "install_code_106": "Failed to create run.bat",
-      "install_code_110": "Failed to clean old OVMS runtime",
+      "install_code_104": "Uncompress OVMS runtime failed",
+      "install_code_105": "Clean OVMS runtime failed",
       "run": "Run OVMS failed:",
       "stop": "Stop OVMS failed:"
     },
@@ -3587,7 +3568,6 @@
       "builtinServers": "Builtin Servers",
       "builtinServersDescriptions": {
         "brave_search": "An MCP server implementation integrating the Brave Search API, providing both web and local search functionalities. Requires configuring the BRAVE_API_KEY environment variable",
-        "didi_mcp": "DiDi MCP server providing ride-hailing services including map search, price estimation, order management, and driver tracking. Only available in Mainland China. Requires configuring the DIDI_API_KEY environment variable",
         "dify_knowledge": "Dify's MCP server implementation provides a simple API to interact with Dify. Requires configuring the Dify Key",
         "fetch": "MCP server for retrieving URL web content",
         "filesystem": "A Node.js server implementing the Model Context Protocol (MCP) for file system operations. Requires configuration of directories allowed for access.",
@@ -4093,7 +4073,7 @@
       "api_host_tooltip": "Override only when your provider requires a custom OpenAI-compatible endpoint.",
       "api_key": {
         "label": "API Key",
-        "tip": "Use commas to separate multiple keys"
+        "tip": "Multiple keys separated by commas or spaces"
       },
       "api_version": "API Version",
       "aws-bedrock": {
@@ -4661,7 +4641,6 @@
     "later": "Later",
     "message": "New version {{version}} is ready, do you want to install it now?",
     "noReleaseNotes": "No release notes",
-    "saveDataError": "Failed to save data, please try again.",
     "title": "Update"
   },
   "warning": {

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "获取智能体失败",
-        "null_id": "智能体 ID 为空。"
+        "failed": "获取智能体失败"
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "获取智能体列表失败"
       }
     },
-    "server": {
-      "error": {
-        "not_running": "API 服务器已启用但未正常运行。"
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "添加目录",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "获取会话失败",
-          "null_id": "会话 ID 为空"
+          "failed": "获取会话失败"
         }
       },
       "label_one": "会话",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "API 密钥已复制到剪贴板",
       "apiKeyRegenerated": "API 密钥已重新生成",
-      "notEnabled": "API 服务器未启用。",
       "operationFailed": "API 服务器操作失败：",
       "restartError": "重启 API 服务器失败：",
       "restartFailed": "API 服务器重启失败：",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "纳米AI搜索",
     "qwen": "通义千问",
     "sensechat": "商量",
-    "stepfun": "阶跃AI",
     "tencent-yuanbao": "腾讯元宝",
     "tiangong-ai": "天工AI",
     "wanzhi": "万知",
     "wenxin": "文心一言",
     "wps-copilot": "WPS灵犀",
     "xiaoyi": "小艺",
+    "yuewen": "跃问",
     "zhihu": "知乎直答"
   },
   "miniwindow": {
@@ -1959,14 +1951,6 @@
     "rename": "重命名",
     "rename_changed": "由于安全策略，文件名已从 {{original}} 更改为 {{final}}",
     "save": "保存到笔记",
-    "search": {
-      "both": "名称+内容",
-      "content": "内容",
-      "found_results": "找到 {{count}} 个结果 (名称: {{nameCount}}, 内容: {{contentCount}})",
-      "more_matches": "个匹配",
-      "searching": "搜索中...",
-      "show_less": "收起"
-    },
     "settings": {
       "data": {
         "apply": "应用",
@@ -2051,7 +2035,6 @@
       "provider": {
         "cannot_remove_builtin": "不能删除内置提供商",
         "existing": "提供商已存在",
-        "get_providers": "获取可用提供商失败",
         "not_found": "OCR 提供商不存在",
         "update_failed": "更新配置失败"
       },
@@ -2088,7 +2071,7 @@
     "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": "下载失败",
+      "error": "选择失败",
       "model_id": {
         "label": "模型 ID",
         "model_id_pattern": "模型 ID 必须以 OpenVINO/ 开头",
@@ -2113,10 +2096,8 @@
       "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": "安装 OVMS runtime 失败",
-      "install_code_105": "创建 ovdnd.exe 失败",
-      "install_code_106": "创建 run.bat 失败",
-      "install_code_110": "清理旧 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:"
     },
@@ -3587,7 +3568,6 @@
       "builtinServers": "内置服务器",
       "builtinServersDescriptions": {
         "brave_search": "一个集成了Brave 搜索 API 的 MCP 服务器实现，提供网页与本地搜索双重功能。需要配置 BRAVE_API_KEY 环境变量",
-        "didi_mcp": "一个集成了滴滴 MCP 服务器实现，提供网约车服务包括地图搜索、价格预估、订单管理和司机跟踪。仅支持中国大陆地区。需要配置 DIDI_API_KEY 环境变量",
         "dify_knowledge": "Dify 的 MCP 服务器实现，提供了一个简单的 API 来与 Dify 进行交互。需要配置 Dify Key",
         "fetch": "用于获取 URL 网页内容的 MCP 服务器",
         "filesystem": "实现文件系统操作的模型上下文协议（MCP）的 Node.js 服务器。需要配置允许访问的目录",
@@ -4093,7 +4073,7 @@
       "api_host_tooltip": "仅在服务商需要自定义的 OpenAI 兼容地址时覆盖。",
       "api_key": {
         "label": "API 密钥",
-        "tip": "多个密钥使用逗号分隔"
+        "tip": "多个密钥使用逗号或空格分隔"
       },
       "api_version": "API 版本",
       "aws-bedrock": {
@@ -4661,7 +4641,6 @@
     "later": "稍后",
     "message": "发现新版本 {{version}}，是否立即安装？",
     "noReleaseNotes": "暂无更新日志",
-    "saveDataError": "保存数据失败，请重试",
     "title": "更新提示"
   },
   "warning": {

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "無法取得代理程式。",
-        "null_id": "代理程式 ID 為空。"
+        "failed": "無法取得代理程式。"
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "無法列出代理程式。"
       }
     },
-    "server": {
-      "error": {
-        "not_running": "API 伺服器已啟用，但運行不正常。"
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "新增目錄",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "無法取得工作階段",
-          "null_id": "工作階段 ID 為空"
+          "failed": "無法取得工作階段"
         }
       },
       "label_one": "會議",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "API 金鑰已複製到剪貼簿",
       "apiKeyRegenerated": "API 金鑰已重新生成",
-      "notEnabled": "API 伺服器未啟用。",
       "operationFailed": "API 伺服器操作失敗：",
       "restartError": "重新啟動 API 伺服器失敗：",
       "restartFailed": "API 伺服器重新啟動失敗：",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "納米AI搜索",
     "qwen": "通義千問",
     "sensechat": "商量",
-    "stepfun": "階躍AI",
     "tencent-yuanbao": "騰訊元寶",
     "tiangong-ai": "天工AI",
     "wanzhi": "萬知",
     "wenxin": "文心一言",
     "wps-copilot": "WPS靈犀",
     "xiaoyi": "小藝",
+    "yuewen": "躍問",
     "zhihu": "知乎直答"
   },
   "miniwindow": {
@@ -1959,14 +1951,6 @@
     "rename": "重命名",
     "rename_changed": "由於安全策略，文件名已從 {{original}} 更改為 {{final}}",
     "save": "儲存到筆記",
-    "search": {
-      "both": "名稱+內容",
-      "content": "內容",
-      "found_results": "找到 {{count}} 個結果 (名稱: {{nameCount}}, 內容: {{contentCount}})",
-      "more_matches": "個匹配",
-      "searching": "搜索中...",
-      "show_less": "收起"
-    },
     "settings": {
       "data": {
         "apply": "應用",
@@ -2050,9 +2034,8 @@
     "error": {
       "provider": {
         "cannot_remove_builtin": "不能刪除內建提供者",
-        "existing": "提供者已存在",
-        "get_providers": "取得可用提供者失敗",
-        "not_found": "OCR 提供者不存在",
+        "existing": "提供商已存在",
+        "not_found": "OCR 提供商不存在",
         "update_failed": "更新配置失敗"
       },
       "unknown": "OCR過程發生錯誤"
@@ -2088,7 +2071,7 @@
     "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": "下載失敗",
+      "error": "選擇失敗",
       "model_id": {
         "label": "模型 ID",
         "model_id_pattern": "模型 ID 必須以 OpenVINO/ 開頭",
@@ -2113,10 +2096,8 @@
       "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": "安裝 OVMS runtime 失敗",
-      "install_code_105": "創建 ovdnd.exe 失敗",
-      "install_code_106": "創建 run.bat 失敗",
-      "install_code_110": "清理舊 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:"
     },
@@ -3587,7 +3568,6 @@
       "builtinServers": "內置伺服器",
       "builtinServersDescriptions": {
         "brave_search": "一個集成了Brave 搜索 API 的 MCP 伺服器實現，提供網頁與本地搜尋雙重功能。需要配置 BRAVE_API_KEY 環境變數",
-        "didi_mcp": "一個集成了滴滴 MCP 伺服器實現，提供網約車服務包括地圖搜尋、價格預估、訂單管理和司機追蹤。僅支援中國大陸地區。需要配置 DIDI_API_KEY 環境變數",
         "dify_knowledge": "Dify 的 MCP 伺服器實現，提供了一個簡單的 API 來與 Dify 進行互動。需要配置 Dify Key",
         "fetch": "用於獲取 URL 網頁內容的 MCP 伺服器",
         "filesystem": "實現文件系統操作的模型上下文協議（MCP）的 Node.js 伺服器。需要配置允許訪問的目錄",
@@ -4093,7 +4073,7 @@
       "api_host_tooltip": "僅在服務商需要自訂的 OpenAI 相容端點時才覆蓋。",
       "api_key": {
         "label": "API 金鑰",
-        "tip": "多個金鑰使用逗號分隔"
+        "tip": "多個金鑰使用逗號或空格分隔"
       },
       "api_version": "API 版本",
       "aws-bedrock": {
@@ -4661,7 +4641,6 @@
     "later": "稍後",
     "message": "新版本 {{version}} 已準備就緒，是否立即安裝？",
     "noReleaseNotes": "暫無更新日誌",
-    "saveDataError": "保存數據失敗，請重試",
     "title": "更新提示"
   },
   "warning": {

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "Αποτυχία λήψης του πράκτορα.",
-        "null_id": "Το ID του πράκτορα είναι null."
+        "failed": "Αποτυχία λήψης του πράκτορα."
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "Αποτυχία καταχώρησης πρακτόρων."
       }
     },
-    "server": {
-      "error": {
-        "not_running": "Ο διακομιστής API είναι ενεργοποιημένος αλλά δεν λειτουργεί σωστά."
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "Προσθήκη καταλόγου",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "Αποτυχία λήψης της συνεδρίας",
-          "null_id": "Το ID της συνεδρίας είναι null"
+          "failed": "Αποτυχία λήψης της συνεδρίας"
         }
       },
       "label_one": "Συνεδρία",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "Το κλειδί API αντιγράφηκε στο πρόχειρο",
       "apiKeyRegenerated": "Το κλειδί API αναδημιουργήθηκε",
-      "notEnabled": "Ο διακομιστής API δεν είναι ενεργοποιημένος.",
       "operationFailed": "Η λειτουργία του Διακομιστή API απέτυχε: ",
       "restartError": "Αποτυχία επανεκκίνησης του Διακομιστή API: ",
       "restartFailed": "Η επανεκκίνηση του Διακομιστή API απέτυχε: ",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "Nami AI Search",
     "qwen": "Qwen",
     "sensechat": "SenseChat",
-    "stepfun": "Stepfun",
     "tencent-yuanbao": "Yuanbao",
     "tiangong-ai": "Skywork",
     "wanzhi": "Wanzhi",
     "wenxin": "ERNIE",
     "wps-copilot": "WPS Copilot",
     "xiaoyi": "Xiaoyi",
+    "yuewen": "Yuewen",
     "zhihu": "Zhihu"
   },
   "miniwindow": {
@@ -2043,7 +2035,6 @@
       "provider": {
         "cannot_remove_builtin": "Δεν είναι δυνατή η διαγραφή του ενσωματωμένου παρόχου",
         "existing": "Ο πάροχος υπηρεσιών υπάρχει ήδη",
-        "get_providers": "Αποτυχία λήψης διαθέσιμων παρόχων",
         "not_found": "Ο πάροχος OCR δεν υπάρχει",
         "update_failed": "Αποτυχία ενημέρωσης της διαμόρφωσης"
       },
@@ -3577,7 +3568,6 @@
       "builtinServers": "Ενσωματωμένοι Διακομιστές",
       "builtinServersDescriptions": {
         "brave_search": "μια εφαρμογή διακομιστή MCP που ενσωματώνει το Brave Search API, παρέχοντας δυνατότητες αναζήτησης στον ιστό και τοπικής αναζήτησης. Απαιτείται η ρύθμιση της μεταβλητής περιβάλλοντος BRAVE_API_KEY",
-        "didi_mcp": "Διακομιστής DiDi MCP που παρέχει υπηρεσίες μεταφοράς συμπεριλαμβανομένης της αναζήτησης χαρτών, εκτίμησης τιμών, διαχείρισης παραγγελιών και παρακολούθησης οδηγών. Διαθέσιμο μόνο στην ηπειρωτική Κίνα. Απαιτεί διαμόρφωση της μεταβλητής περιβάλλοντος DIDI_API_KEY",
         "dify_knowledge": "Η υλοποίηση του Dify για τον διακομιστή MCP, παρέχει μια απλή API για να αλληλεπιδρά με το Dify. Απαιτείται η ρύθμιση του κλειδιού Dify",
         "fetch": "Εξυπηρετητής MCP για λήψη περιεχομένου ιστοσελίδας URL",
         "filesystem": "Εξυπηρετητής Node.js για το πρωτόκολλο περιβάλλοντος μοντέλου (MCP) που εφαρμόζει λειτουργίες συστήματος αρχείων. Απαιτείται διαμόρφωση για την επιτροπή πρόσβασης σε καταλόγους",
@@ -4651,7 +4641,6 @@
     "later": "Μετά",
     "message": "Νέα έκδοση {{version}} είναι έτοιμη, θέλετε να την εγκαταστήσετε τώρα;",
     "noReleaseNotes": "Χωρίς σημειώσεις",
-    "saveDataError": "Η αποθήκευση των δεδομένων απέτυχε, δοκιμάστε ξανά",
     "title": "Ενημέρωση"
   },
   "warning": {

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "No se pudo obtener el agente.",
-        "null_id": "El ID del agente es nulo."
+        "failed": "No se pudo obtener el agente."
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "Error al listar agentes."
       }
     },
-    "server": {
-      "error": {
-        "not_running": "El servidor de API está habilitado pero no funciona correctamente."
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "Agregar directorio",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "Error al obtener la sesión",
-          "null_id": "El ID de sesión es nulo"
+          "failed": "Error al obtener la sesión"
         }
       },
       "label_one": "Sesión",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "Clave API copiada al portapapeles",
       "apiKeyRegenerated": "Clave API regenerada",
-      "notEnabled": "El servidor de API no está habilitado.",
       "operationFailed": "Falló la operación del Servidor API: ",
       "restartError": "Error al reiniciar el Servidor API: ",
       "restartFailed": "Falló el reinicio del Servidor API: ",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "Nami AI Search",
     "qwen": "Qwen",
     "sensechat": "SenseChat",
-    "stepfun": "Stepfun",
     "tencent-yuanbao": "Yuanbao",
     "tiangong-ai": "Skywork",
     "wanzhi": "Wanzhi",
     "wenxin": "ERNIE",
     "wps-copilot": "WPS Copilot",
     "xiaoyi": "Xiaoyi",
+    "yuewen": "Yuewen",
     "zhihu": "Zhihu"
   },
   "miniwindow": {
@@ -2043,7 +2035,6 @@
       "provider": {
         "cannot_remove_builtin": "No se puede eliminar el proveedor integrado",
         "existing": "El proveedor ya existe",
-        "get_providers": "Error al obtener proveedores disponibles",
         "not_found": "El proveedor de OCR no existe",
         "update_failed": "Actualización de la configuración fallida"
       },
@@ -3577,7 +3568,6 @@
       "builtinServers": "Servidores integrados",
       "builtinServersDescriptions": {
         "brave_search": "Una implementación de servidor MCP que integra la API de búsqueda de Brave, proporcionando funciones de búsqueda web y búsqueda local. Requiere configurar la variable de entorno BRAVE_API_KEY",
-        "didi_mcp": "Servidor DiDi MCP que proporciona servicios de transporte incluyendo búsqueda de mapas, estimación de precios, gestión de pedidos y seguimiento de conductores. Disponible solo en China Continental. Requiere configurar la variable de entorno DIDI_API_KEY",
         "dify_knowledge": "Implementación del servidor MCP de Dify, que proporciona una API sencilla para interactuar con Dify. Se requiere configurar la clave de Dify.",
         "fetch": "Servidor MCP para obtener el contenido de la página web de una URL",
         "filesystem": "Servidor Node.js que implementa el protocolo de contexto del modelo (MCP) para operaciones del sistema de archivos. Requiere configuración del directorio permitido para el acceso",
@@ -4651,7 +4641,6 @@
     "later": "Más tarde",
     "message": "Nueva versión {{version}} disponible, ¿desea instalarla ahora?",
     "noReleaseNotes": "Sin notas de la versión",
-    "saveDataError": "Error al guardar los datos, inténtalo de nuevo",
     "title": "Actualización"
   },
   "warning": {

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

@@ -22,8 +22,7 @@
     },
     "get": {
       "error": {
-        "failed": "Échec de l'obtention de l'agent.",
-        "null_id": "L'ID de l'agent est nul."
+        "failed": "Échec de l'obtention de l'agent."
       }
     },
     "list": {
@@ -31,11 +30,6 @@
         "failed": "Échec de la liste des agents."
       }
     },
-    "server": {
-      "error": {
-        "not_running": "Le serveur API est activé mais ne fonctionne pas correctement."
-      }
-    },
     "session": {
       "accessible_paths": {
         "add": "Ajouter un répertoire",
@@ -74,8 +68,7 @@
       },
       "get": {
         "error": {
-          "failed": "Échec de l'obtention de la session",
-          "null_id": "L'ID de session est nul"
+          "failed": "Échec de l'obtention de la session"
         }
       },
       "label_one": "Session",
@@ -244,7 +237,6 @@
     "messages": {
       "apiKeyCopied": "Clé API copiée dans le presse-papiers",
       "apiKeyRegenerated": "Clé API régénérée",
-      "notEnabled": "Le serveur API n'est pas activé.",
       "operationFailed": "Opération du Serveur API échouée : ",
       "restartError": "Échec du redémarrage du Serveur API : ",
       "restartFailed": "Redémarrage du Serveur API échoué : ",
@@ -1814,13 +1806,13 @@
     "nami-ai-search": "Nami AI Search",
     "qwen": "Qwen",
     "sensechat": "SenseChat",
-    "stepfun": "Stepfun",
     "tencent-yuanbao": "Yuanbao",
     "tiangong-ai": "Skywork",
     "wanzhi": "Wanzhi",
     "wenxin": "ERNIE",
     "wps-copilot": "WPS Copilot",
     "xiaoyi": "Xiaoyi",
+    "yuewen": "Yuewen",
     "zhihu": "Zhihu"
   },
   "miniwindow": {
@@ -2043,7 +2035,6 @@
       "provider": {
         "cannot_remove_builtin": "Impossible de supprimer le fournisseur intégré",
         "existing": "Le fournisseur existe déjà",
-        "get_providers": "Échec de l'obtention des fournisseurs disponibles",
         "not_found": "Le fournisseur OCR n'existe pas",
         "update_failed": "Échec de la mise à jour de la configuration"
       },
@@ -3577,7 +3568,6 @@
       "builtinServers": "Serveurs intégrés",
       "builtinServersDescriptions": {
         "brave_search": "Une implémentation de serveur MCP intégrant l'API de recherche Brave, offrant des fonctionnalités de recherche web et locale. Nécessite la configuration de la variable d'environnement BRAVE_API_KEY",
-        "didi_mcp": "Serveur DiDi MCP fournissant des services de transport incluant la recherche de cartes, l'estimation des prix, la gestion des commandes et le suivi des conducteurs. Disponible uniquement en Chine continentale. Nécessite la configuration de la variable d'environnement DIDI_API_KEY",
         "dify_knowledge": "Implémentation du serveur MCP de Dify, fournissant une API simple pour interagir avec Dify. Nécessite la configuration de la clé Dify",
         "fetch": "serveur MCP utilisé pour récupérer le contenu des pages web URL",
         "filesystem": "Serveur Node.js implémentant le protocole de contexte de modèle (MCP) pour les opérations de système de fichiers. Nécessite une configuration des répertoires autorisés à être accédés.",
@@ -4651,7 +4641,6 @@
     "later": "Plus tard",
     "message": "Nouvelle version {{version}} disponible, voulez-vous l'installer maintenant ?",
     "noReleaseNotes": "Aucune note de version",
-    "saveDataError": "Échec de la sauvegarde des données, veuillez réessayer",
     "title": "Mise à jour"
   },
   "warning": {