✅ test: add tests for HTTP MCP compatibility fix

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

.github/ISSUE_TEMPLATE/0_bug_report.yml

@@ -1,4 +1,4 @@
-name: 🐛 Bug Report (English)
+name: 🐛 Bug Report
 description: Create a report to help us improve
 title: '[Bug]: '
 labels: ['BUG']

.github/ISSUE_TEMPLATE/1_feature_request.yml

@@ -1,4 +1,4 @@
-name: 💡 Feature Request (English)
+name: 💡 Feature Request
 description: Suggest an idea for this project
 title: '[Feature]: '
 labels: ['feature']

.github/ISSUE_TEMPLATE/3_others.yml

@@ -1,4 +1,4 @@
-name: 🤔 Other Questions (English)
+name: 🤔 Other Questions
 description: Submit questions that don't fit into bug reports or feature requests
 title: '[Other]: '
 body:

.github/workflows/issue-management.yml

@@ -29,8 +29,10 @@ jobs:
           days-before-close: 0 # Close immediately after stale
           stale-issue-label: 'inactive'
           close-issue-label: 'closed:no-response'
+          exempt-all-milestones: true
+          exempt-all-assignees: true
           stale-issue-message: |
-            This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days. 
+            This issue has been labeled as needing more information and has been inactive for ${{ env.daysBeforeStale }} days.
             It will be closed now due to lack of additional information.
 
             该问题被标记为"需要更多信息"且已经 ${{ env.daysBeforeStale }} 天没有任何活动，将立即关闭。
@@ -46,6 +48,8 @@ jobs:
           days-before-stale: ${{ env.daysBeforeStale }}
           days-before-close: ${{ env.daysBeforeClose }}
           stale-issue-label: 'inactive'
+          exempt-all-milestones: true
+          exempt-all-assignees: true
           stale-issue-message: |
             This issue has been inactive for a prolonged period and will be closed automatically in ${{ env.daysBeforeClose }} days.
             该问题已长时间处于闲置状态，${{ env.daysBeforeClose }} 天后将自动关闭。

.oxlintrc.json

@@ -140,7 +140,7 @@
     "typescript/await-thenable": "warn",
     // "typescript/ban-ts-comment": "error",
     "typescript/no-array-constructor": "error",
-    // "typescript/consistent-type-imports": "error",
+    "typescript/consistent-type-imports": "error",
     "typescript/no-array-delete": "warn",
     "typescript/no-base-to-string": "warn",
     "typescript/no-duplicate-enum-values": "error",

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

@@ -1,13 +0,0 @@
-diff --git a/dist/index.mjs b/dist/index.mjs
-index 69ab1599c76801dc1167551b6fa283dded123466..f0af43bba7ad1196fe05338817e65b4ebda40955 100644
---- a/dist/index.mjs
-+++ b/dist/index.mjs
-@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
- 
- // src/get-model-path.ts
- function getModelPath(modelId) {
--  return modelId.includes("/") ? modelId : `models/${modelId}`;
-+  return modelId?.includes("models/") ? modelId : `models/${modelId}`;
- }
- 
- // src/google-generative-ai-options.ts

.yarn/patches/@ai-sdk-google-npm-2.0.23-81682e07b0.patch

@@ -0,0 +1,26 @@
+diff --git a/dist/index.js b/dist/index.js
+index 4cc66d83af1cef39f6447dc62e680251e05ddf9f..eb9819cb674c1808845ceb29936196c4bb355172 100644
+--- a/dist/index.js
++++ b/dist/index.js
+@@ -471,7 +471,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
+ 
+ // src/get-model-path.ts
+ function getModelPath(modelId) {
+-  return modelId.includes("/") ? modelId : `models/${modelId}`;
++  return modelId.includes("models/") ? modelId : `models/${modelId}`;
+ }
+ 
+ // src/google-generative-ai-options.ts
+diff --git a/dist/index.mjs b/dist/index.mjs
+index a032505ec54e132dc386dde001dc51f710f84c83..5efada51b9a8b56e3f01b35e734908ebe3c37043 100644
+--- a/dist/index.mjs
++++ b/dist/index.mjs
+@@ -477,7 +477,7 @@ function convertToGoogleGenerativeAIMessages(prompt, options) {
+ 
+ // src/get-model-path.ts
+ function getModelPath(modelId) {
+-  return modelId.includes("/") ? modelId : `models/${modelId}`;
++  return modelId.includes("models/") ? modelId : `models/${modelId}`;
+ }
+ 
+ // src/google-generative-ai-options.ts

.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch

@@ -0,0 +1,76 @@
+diff --git a/dist/index.js b/dist/index.js
+index cc6652c4e7f32878a64a2614115bf7eeb3b7c890..76e989017549c89b45d633525efb1f318026d9b2 100644
+--- a/dist/index.js
++++ b/dist/index.js
+@@ -274,6 +274,7 @@ var openaiChatResponseSchema = (0, import_provider_utils3.lazyValidator)(
+           message: import_v42.z.object({
+             role: import_v42.z.literal("assistant").nullish(),
+             content: import_v42.z.string().nullish(),
++            reasoning_content: import_v42.z.string().nullish(),
+             tool_calls: import_v42.z.array(
+               import_v42.z.object({
+                 id: import_v42.z.string().nullish(),
+@@ -340,6 +341,7 @@ var openaiChatChunkSchema = (0, import_provider_utils3.lazyValidator)(
+             delta: import_v42.z.object({
+               role: import_v42.z.enum(["assistant"]).nullish(),
+               content: import_v42.z.string().nullish(),
++              reasoning_content: import_v42.z.string().nullish(),
+               tool_calls: import_v42.z.array(
+                 import_v42.z.object({
+                   index: import_v42.z.number(),
+@@ -785,6 +787,14 @@ var OpenAIChatLanguageModel = class {
+     if (text != null && text.length > 0) {
+       content.push({ type: "text", text });
+     }
++    const reasoning =
++      choice.message.reasoning_content;
++    if (reasoning != null && reasoning.length > 0) {
++      content.push({
++        type: 'reasoning',
++        text: reasoning,
++      });
++    }
+     for (const toolCall of (_a = choice.message.tool_calls) != null ? _a : []) {
+       content.push({
+         type: "tool-call",
+@@ -866,6 +876,7 @@ var OpenAIChatLanguageModel = class {
+     };
+     let isFirstChunk = true;
+     let isActiveText = false;
++    let isActiveReasoning = false;
+     const providerMetadata = { openai: {} };
+     return {
+       stream: response.pipeThrough(
+@@ -920,6 +931,22 @@ var OpenAIChatLanguageModel = class {
+               return;
+             }
+             const delta = choice.delta;
++            const reasoningContent = delta.reasoning_content;
++            if (reasoningContent) {
++              if (!isActiveReasoning) {
++                controller.enqueue({
++                  type: 'reasoning-start',
++                  id: 'reasoning-0',
++                });
++                isActiveReasoning = true;
++              }
++
++              controller.enqueue({
++                type: 'reasoning-delta',
++                id: 'reasoning-0',
++                delta: reasoningContent,
++              });
++            }
+             if (delta.content != null) {
+               if (!isActiveText) {
+                 controller.enqueue({ type: "text-start", id: "0" });
+@@ -1032,6 +1059,9 @@ var OpenAIChatLanguageModel = class {
+             }
+           },
+           flush(controller) {
++            if (isActiveReasoning) {
++              controller.enqueue({ type: 'reasoning-end', id: 'reasoning-0' });
++            }
+             if (isActiveText) {
+               controller.enqueue({ type: "text-end", id: "0" });
+             }

.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.25-08bbabb5d3.patch

@@ -1,24 +1,24 @@
 diff --git a/sdk.mjs b/sdk.mjs
-index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b478c738dd8 100644
+index 10162e5b1624f8ce667768943347a6e41089ad2f..32568ae08946590e382270c88d85fba81187568e 100755
 --- a/sdk.mjs
 +++ b/sdk.mjs
-@@ -6215,7 +6215,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
+@@ -6213,7 +6213,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
  }
-
+ 
  // ../src/transport/ProcessTransport.ts
 -import { spawn } from "child_process";
 +import { fork } from "child_process";
  import { createInterface } from "readline";
-
+ 
  // ../src/utils/fsOperations.ts
-@@ -6473,14 +6473,11 @@ class ProcessTransport {
+@@ -6487,14 +6487,11 @@ class ProcessTransport {
          const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
          throw new ReferenceError(errorMessage);
        }
 -      const isNative = isNativeBinary(pathToClaudeCodeExecutable);
 -      const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
--      const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
--      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
+-      const spawnArgs = isNative ? [...executableArgs, ...args] : [...executableArgs, pathToClaudeCodeExecutable, ...args];
+-      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${spawnCommand} ${spawnArgs.join(" ")}` : `Spawning Claude Code process: ${spawnCommand} ${spawnArgs.join(" ")}`);
 +      this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
        const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
 -      this.child = spawn(spawnCommand, spawnArgs, {

.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch

@@ -1,71 +0,0 @@
-diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
-index 973b0d0e75aeaf8de579419af31b879b32975413..f23c7caa8b9dc8bd404132725346a4786f6b278b 100644
---- a/dist/utils/tiktoken.cjs
-+++ b/dist/utils/tiktoken.cjs
-@@ -1,25 +1,14 @@
- "use strict";
- Object.defineProperty(exports, "__esModule", { value: true });
- exports.encodingForModel = exports.getEncoding = void 0;
--const lite_1 = require("js-tiktoken/lite");
- const async_caller_js_1 = require("./async_caller.cjs");
- const cache = {};
- const caller = /* #__PURE__ */ new async_caller_js_1.AsyncCaller({});
- async function getEncoding(encoding) {
--    if (!(encoding in cache)) {
--        cache[encoding] = caller
--            .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
--            .then((res) => res.json())
--            .then((data) => new lite_1.Tiktoken(data))
--            .catch((e) => {
--            delete cache[encoding];
--            throw e;
--        });
--    }
--    return await cache[encoding];
-+    throw new Error("TikToken Not implemented");
- }
- exports.getEncoding = getEncoding;
- async function encodingForModel(model) {
--    return getEncoding((0, lite_1.getEncodingNameForModel)(model));
-+    throw new Error("TikToken Not implemented");
- }
- exports.encodingForModel = encodingForModel;
-diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
-index 8e41ee6f00f2f9c7fa2c59fa2b2f4297634b97aa..aa5f314a6349ad0d1c5aea8631a56aad099176e0 100644
---- a/dist/utils/tiktoken.js
-+++ b/dist/utils/tiktoken.js
-@@ -1,20 +1,9 @@
--import { Tiktoken, getEncodingNameForModel, } from "js-tiktoken/lite";
- import { AsyncCaller } from "./async_caller.js";
- const cache = {};
- const caller = /* #__PURE__ */ new AsyncCaller({});
- export async function getEncoding(encoding) {
--    if (!(encoding in cache)) {
--        cache[encoding] = caller
--            .fetch(`https://tiktoken.pages.dev/js/${encoding}.json`)
--            .then((res) => res.json())
--            .then((data) => new Tiktoken(data))
--            .catch((e) => {
--            delete cache[encoding];
--            throw e;
--        });
--    }
--    return await cache[encoding];
-+    throw new Error("TikToken Not implemented");
- }
- export async function encodingForModel(model) {
--    return getEncoding(getEncodingNameForModel(model));
-+    throw new Error("TikToken Not implemented");
- }
-diff --git a/package.json b/package.json
-index 36072aecf700fca1bc49832a19be832eca726103..90b8922fba1c3d1b26f78477c891b07816d6238a 100644
---- a/package.json
-+++ b/package.json
-@@ -37,7 +37,6 @@
-     "ansi-styles": "^5.0.0",
-     "camelcase": "6",
-     "decamelize": "1.2.0",
--    "js-tiktoken": "^1.0.12",
-     "langsmith": ">=0.2.8 <0.4.0",
-     "mustache": "^4.2.0",
-     "p-queue": "^6.6.2",

.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch

@@ -0,0 +1,68 @@
+diff --git a/dist/utils/tiktoken.cjs b/dist/utils/tiktoken.cjs
+index c5b41f121d2e3d24c3a4969e31fa1acffdcad3b9..ec724489dcae79ee6c61acf2d4d84bd19daef036 100644
+--- a/dist/utils/tiktoken.cjs
++++ b/dist/utils/tiktoken.cjs
+@@ -1,6 +1,5 @@
+ const require_rolldown_runtime = require('../_virtual/rolldown_runtime.cjs');
+ const require_utils_async_caller = require('./async_caller.cjs');
+-const js_tiktoken_lite = require_rolldown_runtime.__toESM(require("js-tiktoken/lite"));
+ 
+ //#region src/utils/tiktoken.ts
+ var tiktoken_exports = {};
+@@ -11,14 +10,10 @@ require_rolldown_runtime.__export(tiktoken_exports, {
+ const cache = {};
+ const caller = /* @__PURE__ */ new require_utils_async_caller.AsyncCaller({});
+ async function getEncoding(encoding) {
+-	if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new js_tiktoken_lite.Tiktoken(data)).catch((e) => {
+-		delete cache[encoding];
+-		throw e;
+-	});
+-	return await cache[encoding];
++	throw new Error("TikToken Not implemented");
+ }
+ async function encodingForModel(model) {
+-	return getEncoding((0, js_tiktoken_lite.getEncodingNameForModel)(model));
++	throw new Error("TikToken Not implemented");
+ }
+ 
+ //#endregion
+diff --git a/dist/utils/tiktoken.js b/dist/utils/tiktoken.js
+index 641acca03cb92f04a6fa5c9c31f1880ce635572e..707389970ad957aa0ff20ef37fa8dd2875be737c 100644
+--- a/dist/utils/tiktoken.js
++++ b/dist/utils/tiktoken.js
+@@ -1,6 +1,5 @@
+ import { __export } from "../_virtual/rolldown_runtime.js";
+ import { AsyncCaller } from "./async_caller.js";
+-import { Tiktoken, getEncodingNameForModel } from "js-tiktoken/lite";
+ 
+ //#region src/utils/tiktoken.ts
+ var tiktoken_exports = {};
+@@ -11,14 +10,10 @@ __export(tiktoken_exports, {
+ const cache = {};
+ const caller = /* @__PURE__ */ new AsyncCaller({});
+ async function getEncoding(encoding) {
+-	if (!(encoding in cache)) cache[encoding] = caller.fetch(`https://tiktoken.pages.dev/js/${encoding}.json`).then((res) => res.json()).then((data) => new Tiktoken(data)).catch((e) => {
+-		delete cache[encoding];
+-		throw e;
+-	});
+-	return await cache[encoding];
++	throw new Error("TikToken Not implemented");
+ }
+ async function encodingForModel(model) {
+-	return getEncoding(getEncodingNameForModel(model));
++	throw new Error("TikToken Not implemented");
+ }
+ 
+ //#endregion
+diff --git a/package.json b/package.json
+index a24f8fc61de58526051999260f2ebee5f136354b..e885359e8966e7730c51772533ce37e01edb3046 100644
+--- a/package.json
++++ b/package.json
+@@ -20,7 +20,6 @@
+     "ansi-styles": "^5.0.0",
+     "camelcase": "6",
+     "decamelize": "1.2.0",
+-    "js-tiktoken": "^1.0.12",
+     "langsmith": "^0.3.64",
+     "mustache": "^4.2.0",
+     "p-queue": "^6.6.2",

.yarn/patches/@langchain-openai-npm-0.3.16-e525b59526.patch

@@ -1,19 +0,0 @@
-diff --git a/dist/embeddings.js b/dist/embeddings.js
-index 1f8154be3e9c22442a915eb4b85fa6d2a21b0d0c..dc13ef4a30e6c282824a5357bcee9bd0ae222aab 100644
---- a/dist/embeddings.js
-+++ b/dist/embeddings.js
-@@ -214,10 +214,12 @@ export class OpenAIEmbeddings extends Embeddings {
-      * @returns Promise that resolves to an embedding for the document.
-      */
-     async embedQuery(text) {
-+        const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com')
-+        const input = this.stripNewLines ? text.replace(/\n/g, ' ') : text
-         const params = {
-             model: this.model,
--            input: this.stripNewLines ? text.replace(/\n/g, " ") : text,
--        };
-+            input: isBaiduCloud ? [input] : input
-+        }
-         if (this.dimensions) {
-             params.dimensions = this.dimensions;
-         }

.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch

@@ -0,0 +1,17 @@
+diff --git a/dist/embeddings.js b/dist/embeddings.js
+index 6f4b928d3e4717309382e1b5c2e31ab5bc6c5af0..bc79429c88a6d27d4997a2740c4d8ae0707f5991 100644
+--- a/dist/embeddings.js
++++ b/dist/embeddings.js
+@@ -94,9 +94,11 @@ var OpenAIEmbeddings = class extends Embeddings {
+ 	* @returns Promise that resolves to an embedding for the document.
+ 	*/
+ 	async embedQuery(text) {
++		const isBaiduCloud = this.clientConfig.baseURL.includes('baidubce.com');
++		const input = this.stripNewLines ? text.replace(/\n/g, " ") : text
+ 		const params = {
+ 			model: this.model,
+-			input: this.stripNewLines ? text.replace(/\n/g, " ") : text
++			input: isBaiduCloud ? [input] : input
+ 		};
+ 		if (this.dimensions) params.dimensions = this.dimensions;
+ 		if (this.encodingFormat) params.encoding_format = this.encodingFormat;

CLAUDE.md

@@ -10,8 +10,9 @@ This file provides guidance to AI coding assistants when working with code in th
 - **Build with HeroUI**: Use HeroUI for every new UI component; never add `antd` or `styled-components`.
 - **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
 - **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
-- **Seek review**: Ask a human developer to review substantial changes before merging.
-- **Commit in rhythm**: Keep commits small, conventional, and emoji-tagged.
+- **Always propose before executing**: Before making any changes, clearly explain your planned approach and wait for explicit user approval to ensure alignment and prevent unwanted modifications.
+- **Write conventional commits with emoji**: Commit small, focused changes using emoji-prefixed Conventional Commit messages (e.g., `✨ feat:`, `🐛 fix:`, `♻️ refactor:`, `
+📝 docs:`).
 
 ## Development Commands
 

CONTRIBUTING.md

@@ -77,7 +77,7 @@ Please review the following critical information before submitting your Pull Req
 Our core team is currently focused on significant architectural updates that involve these data structures. To ensure stability and focus during this period, contributions of this nature will be temporarily managed internally.
 
 *   **PRs that require changes to Redux state shape or IndexedDB schemas will be closed.**
-*   **This restriction is temporary and will be lifted with the release of `v2.0.0`.** You can track the progress of `v2.0.0` and its related discussions on issue [#10162](https://github.com/YOUR_ORG/YOUR_REPO/issues/10162) (please replace with your actual repo link).
+*   **This restriction is temporary and will be lifted with the release of `v2.0.0`.** You can track the progress of `v2.0.0` and its related discussions on issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162).
 
 We highly encourage contributions for:
 *   Bug fixes 🐞

biome.jsonc

@@ -21,7 +21,11 @@
       "quoteStyle": "single"
     }
   },
-  "files": { "ignoreUnknown": false },
+  "files": {
+    "ignoreUnknown": false,
+    "includes": ["**", "!**/.claude/**"],
+    "maxSize": 2097152
+  },
   "formatter": {
     "attributePosition": "auto",
     "bracketSameLine": false,

docs/CONTRIBUTING.zh.md

@@ -81,7 +81,7 @@ git commit --signoff -m "Your commit message"
 我们的核心团队目前正专注于涉及这些数据结构的关键架构更新和基础工作。为确保在此期间的稳定性与专注，此类贡献将暂时由内部进行管理。
 
 *   **需要更改 Redux 状态结构或 IndexedDB schema 的 PR 将会被关闭。**
-*   **此限制是临时性的，并将在 `v2.0.0` 版本发布后解除。** 您可以通过 Issue [#10162](https://github.com/YOUR_ORG/YOUR_REPO/issues/10162) (请替换为您的实际仓库链接) 跟踪 `v2.0.0` 的进展及相关讨论。
+*   **此限制是临时性的，并将在 `v2.0.0` 版本发布后解除。** 您可以通过 Issue [#10162](https://github.com/CherryHQ/cherry-studio/pull/10162) 跟踪 `v2.0.0` 的进展及相关讨论。
 
 我们非常鼓励以下类型的贡献：
 *   错误修复 🐞

electron-builder.yml

@@ -64,6 +64,12 @@ asarUnpack:
   - resources/**
   - "**/*.{metal,exp,lib}"
   - "node_modules/@img/sharp-libvips-*/**"
+
+# copy from node_modules/claude-code-plugins/plugins to resources/data/claude-code-pluginso
+extraResources:
+  - from: "./node_modules/claude-code-plugins/plugins/"
+    to: "claude-code-plugins"
+
 win:
   executableName: Cherry Studio
   artifactName: ${productName}-${version}-${arch}-setup.${ext}
@@ -127,60 +133,116 @@ artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
     <!--LANG:en-->
-    What's New in v1.7.0-beta.2
+    What's New in v1.7.0-beta.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
+    - Enhanced Tool Permission System: Real-time tool approval interface with improved UX
+    - Plugin Management System: Support for Claude Agent plugins (agents, commands, skills)
+    - Skill Tool: Add skill execution capabilities for agents
+    - Mobile App Data Restore: Support restoring data to mobile applications
+    - OpenMinerU Preprocessor: Knowledge base now supports open-source MinerU for document processing
+    - HuggingFace Provider: Added HuggingFace as AI provider
+    - Claude Haiku 4.5: Support for the latest Claude Haiku 4.5 model
+    - Ling Series Models: Added support for Ling-1T and related models
+    - Intel OVMS Painting: New painting provider using Intel OpenVINO Model Server
+    - Automatic Update Checks: Implement periodic update checking with configurable intervals
+    - HuggingChat Mini App: New mini app for HuggingChat integration
 
     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
+    - Agent Creation: New agents are now automatically activated upon creation
+    - Lazy Loading: Optimize page load performance with route lazy loading
+    - UI Enhancements: Improved agent item styling and layout consistency
+    - Navigation: Better navbar layout for fullscreen mode on macOS
+    - Settings Tab: Enhanced context slider consistency
+    - Backup Manager: Unified footer layout for local and S3 backup managers
+    - Menu System: Enhanced application menu with improved help section
+    - Proxy Rules: Comprehensive proxy bypass rule matching
+    - German Language: Added German language support
+    - MCP Confirmation: Added confirmation modal when activating protocol-installed MCP servers
+    - Translation: Enhanced translation script with concurrency and validation
+    - Electron & Vite: Updated to Electron 38 and Vite 4.0.1
+
+    Claude Code Tool Improvements:
+    - GlobTool: Now counts lines instead of files in output for better clarity
+    - ReadTool: Automatically removes system reminder tags from output
+    - TodoWriteTool: Improved rendering behavior
+    - Environment Variables: Updated model-related environment variable names
 
     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
+    - Fixed session model not being used when sending messages
+    - Fixed tool approval UI and shared workspace plugin inconsistencies
+    - Fixed API server readiness notification to renderer
+    - Fixed grouped items not respecting saved tag order
+    - Fixed assistant/agent activation when creating new ones
+    - Fixed Dashscope Anthropic API host and migrated old configs
+    - Fixed Qwen3 thinking mode control for Ollama
+    - Fixed disappeared MCP button
+    - Fixed create assistant causing blank screen
+    - Fixed up-down button visibility in some cases
+    - Fixed hooks preventing save on composing enter key
+    - Fixed Azure GPT-image-1 and OpenRouter Gemini-image
+    - Fixed Silicon reasoning issues
+    - Fixed topic branch incomplete copy with two-pass ID mapping
+    - Fixed deep research model search context restrictions
+    - Fixed model capability checking logic
+    - Fixed reranker API error response capture
+    - Fixed right-click paste file content into inputbar
+    - Fixed minimax-m2 support in aiCore
 
     <!--LANG:zh-CN-->
-    v1.7.0-beta.2 新特性
+    v1.7.0-beta.3 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
+    - 增强工具权限系统：实时工具审批界面，改进用户体验
+    - 插件管理系统：支持 Claude Agent 插件（agents、commands、skills）
+    - 技能工具：为 Agent 添加技能执行能力
+    - 移动应用数据恢复：支持将数据恢复到移动应用程序
+    - OpenMinerU 预处理器：知识库现支持使用开源 MinerU 处理文档
+    - HuggingFace 提供商：添加 HuggingFace 作为 AI 提供商
+    - Claude Haiku 4.5：支持最新的 Claude Haiku 4.5 模型
+    - Ling 系列模型：添加 Ling-1T 及相关模型支持
+    - Intel OVMS 绘图：使用 Intel OpenVINO 模型服务器的新绘图提供商
+    - 自动更新检查：实现可配置间隔的定期更新检查
+    - HuggingChat 小程序：新增 HuggingChat 集成小程序
 
     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
+    - Agent 创建：新创建的 Agent 现在会自动激活
+    - 懒加载：通过路由懒加载优化页面加载性能
+    - UI 增强：改进 Agent 项目样式和布局一致性
+    - 导航：改进 macOS 全屏模式下的导航栏布局
+    - 设置选项卡：增强上下文滑块一致性
+    - 备份管理器：统一本地和 S3 备份管理器的页脚布局
+    - 菜单系统：增强应用菜单，改进帮助部分
+    - 代理规则：全面的代理绕过规则匹配
+    - 德语支持：添加德语语言支持
+    - MCP 确认：添加激活协议安装的 MCP 服务器时的确认模态框
+    - 翻译：增强翻译脚本的并发和验证功能
+    - Electron & Vite：更新至 Electron 38 和 Vite 4.0.1
+
+    Claude Code 工具改进:
+    - GlobTool：现在计算行数而不是文件数，提供更清晰的输出
+    - ReadTool：自动从输出中移除系统提醒标签
+    - TodoWriteTool：改进渲染行为
+    - 环境变量：更新模型相关的环境变量名称
 
     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
+    - 修复发送消息时未使用会话模型
+    - 修复工具审批 UI 和共享工作区插件不一致
+    - 修复 API 服务器就绪通知到渲染器
+    - 修复分组项目不遵守已保存标签顺序
+    - 修复创建新的助手/Agent 时的激活问题
+    - 修复 Dashscope Anthropic API 主机并迁移旧配置
+    - 修复 Ollama 的 Qwen3 思考模式控制
+    - 修复 MCP 按钮消失
+    - 修复创建助手导致空白屏幕
+    - 修复某些情况下上下按钮可见性
+    - 修复钩子在输入法输入时阻止保存
+    - 修复 Azure GPT-image-1 和 OpenRouter Gemini-image
+    - 修复 Silicon 推理问题
+    - 修复主题分支不完整复制，采用两阶段 ID 映射
+    - 修复深度研究模型搜索上下文限制
+    - 修复模型能力检查逻辑
+    - 修复 reranker API 错误响应捕获
+    - 修复右键粘贴文件内容到输入栏
+    - 修复 aiCore 中的 minimax-m2 支持
     <!--LANG:END-->

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.7.0-beta.2",
+  "version": "1.7.0-beta.3",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -78,7 +78,7 @@
     "release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core npm publish --access public"
   },
   "dependencies": {
-    "@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.1#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch",
+    "@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.25#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.25-08bbabb5d3.patch",
     "@libsql/client": "0.14.0",
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
@@ -86,12 +86,16 @@
     "express": "^5.1.0",
     "font-list": "^2.0.0",
     "graceful-fs": "^4.2.11",
+    "gray-matter": "^4.0.3",
+    "js-yaml": "^4.1.0",
     "jsdom": "26.1.0",
     "node-stream-zip": "^1.15.0",
     "officeparser": "^4.2.0",
     "os-proxy-config": "^1.1.2",
+    "qrcode.react": "^4.2.0",
     "selection-hook": "^1.0.12",
     "sharp": "^0.34.3",
+    "socket.io": "^4.8.1",
     "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",
@@ -101,8 +105,8 @@
     "@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/amazon-bedrock": "^3.0.42",
+    "@ai-sdk/google-vertex": "^3.0.48",
     "@ai-sdk/huggingface": "patch:@ai-sdk/huggingface@npm%3A0.0.4#~/.yarn/patches/@ai-sdk-huggingface-npm-0.0.4-8080836bc1.patch",
     "@ai-sdk/mistral": "^2.0.19",
     "@ai-sdk/perplexity": "^2.0.13",
@@ -144,7 +148,9 @@
     "@hello-pangea/dnd": "^18.0.1",
     "@heroui/react": "^2.8.3",
     "@kangfenmao/keyv-storage": "^0.1.0",
-    "@langchain/community": "^0.3.50",
+    "@langchain/community": "^1.0.0",
+    "@langchain/core": "patch:@langchain/core@npm%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
+    "@langchain/openai": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
     "@mistralai/mistralai": "^1.7.5",
     "@modelcontextprotocol/sdk": "^1.17.5",
     "@mozilla/readability": "^0.6.0",
@@ -195,6 +201,7 @@
     "@types/fs-extra": "^11",
     "@types/he": "^1",
     "@types/html-to-text": "^9",
+    "@types/js-yaml": "^4.0.9",
     "@types/lodash": "^4.17.5",
     "@types/markdown-it": "^14",
     "@types/md5": "^2.3.5",
@@ -224,7 +231,7 @@
     "@viz-js/lang-dot": "^1.0.5",
     "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.68",
+    "ai": "^5.0.76",
     "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",
@@ -234,6 +241,7 @@
     "check-disk-space": "3.4.0",
     "cheerio": "^1.1.2",
     "chokidar": "^4.0.3",
+    "claude-code-plugins": "1.0.1",
     "cli-progress": "^3.12.0",
     "clsx": "^2.1.1",
     "code-inspector-plugin": "^0.20.14",
@@ -368,9 +376,7 @@
     "@codemirror/language": "6.11.3",
     "@codemirror/lint": "6.8.5",
     "@codemirror/view": "6.38.1",
-    "@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch",
-    "@langchain/openai@npm:^0.3.16": "patch:@langchain/openai@npm%3A0.3.16#~/.yarn/patches/@langchain-openai-npm-0.3.16-e525b59526.patch",
-    "@langchain/openai@npm:>=0.1.0 <0.4.0": "patch:@langchain/openai@npm%3A0.3.16#~/.yarn/patches/@langchain-openai-npm-0.3.16-e525b59526.patch",
+    "@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
     "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",
@@ -386,14 +392,18 @@
     "undici": "6.21.2",
     "vite": "npm:rolldown-vite@7.1.5",
     "tesseract.js@npm:*": "patch:tesseract.js@npm%3A6.0.1#~/.yarn/patches/tesseract.js-npm-6.0.1-2562a7e46d.patch",
-    "@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch",
+    "@ai-sdk/google@npm:2.0.23": "patch:@ai-sdk/google@npm%3A2.0.23#~/.yarn/patches/@ai-sdk-google-npm-2.0.23-81682e07b0.patch",
+    "@ai-sdk/openai@npm:^2.0.52": "patch:@ai-sdk/openai@npm%3A2.0.52#~/.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch",
     "@img/sharp-darwin-arm64": "0.34.3",
     "@img/sharp-darwin-x64": "0.34.3",
     "@img/sharp-linux-arm": "0.34.3",
     "@img/sharp-linux-arm64": "0.34.3",
     "@img/sharp-linux-x64": "0.34.3",
     "@img/sharp-win32-x64": "0.34.3",
-    "openai@npm:5.12.2": "npm:@cherrystudio/openai@6.5.0"
+    "openai@npm:5.12.2": "npm:@cherrystudio/openai@6.5.0",
+    "@langchain/openai@npm:>=0.1.0 <0.6.0": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
+    "@langchain/openai@npm:^0.3.16": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch",
+    "@langchain/openai@npm:>=0.2.0 <0.7.0": "patch:@langchain/openai@npm%3A1.0.0#~/.yarn/patches/@langchain-openai-npm-1.0.0-474d0ad9d4.patch"
   },
   "packageManager": "yarn@4.9.1",
   "lint-staged": {

packages/aiCore/package.json

@@ -36,10 +36,10 @@
     "ai": "^5.0.26"
   },
   "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.27",
-    "@ai-sdk/azure": "^2.0.49",
+    "@ai-sdk/anthropic": "^2.0.32",
+    "@ai-sdk/azure": "^2.0.53",
     "@ai-sdk/deepseek": "^1.0.23",
-    "@ai-sdk/openai": "^2.0.48",
+    "@ai-sdk/openai": "patch:@ai-sdk/openai@npm%3A2.0.52#~/.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch",
     "@ai-sdk/openai-compatible": "^1.0.22",
     "@ai-sdk/provider": "^2.0.0",
     "@ai-sdk/provider-utils": "^3.0.12",

packages/aiCore/src/core/middleware/manager.ts

@@ -2,7 +2,7 @@
  * 中间件管理器
  * 专注于 AI SDK 中间件的管理，与插件系统分离
  */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 /**
  * 创建中间件列表

packages/aiCore/src/core/middleware/types.ts

@@ -1,7 +1,7 @@
 /**
  * 中间件系统类型定义
  */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 /**
  * 具名中间件接口

packages/aiCore/src/core/middleware/wrapper.ts

@@ -2,7 +2,7 @@
  * 模型包装工具函数
  * 用于将中间件应用到LanguageModel上
  */
-import { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
 import { wrapLanguageModel } from 'ai'
 
 /**

packages/aiCore/src/core/models/ModelResolver.ts

@@ -5,7 +5,7 @@
  * 集成了来自 ModelCreator 的特殊处理逻辑
  */
 
-import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 import { wrapModelWithMiddlewares } from '../middleware/wrapper'
 import { DEFAULT_SEPARATOR, globalRegistryManagement } from '../providers/RegistryManagement'

packages/aiCore/src/core/models/types.ts

@@ -1,7 +1,7 @@
 /**
  * Creation 模块类型定义
  */
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 import type { ProviderId, ProviderSettingsMap } from '../providers/types'
 

packages/aiCore/src/core/options/factory.ts

@@ -1,4 +1,4 @@
-import { ExtractProviderOptions, ProviderOptionsMap, TypedProviderOptions } from './types'
+import type { ExtractProviderOptions, ProviderOptionsMap, TypedProviderOptions } from './types'
 
 /**
  * 创建特定供应商的选项

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

@@ -10,7 +10,7 @@ import type { AiRequestContext } from '../../types'
 import { StreamEventManager } from './StreamEventManager'
 import { type TagConfig, TagExtractor } from './tagExtraction'
 import { ToolExecutor } from './ToolExecutor'
-import { PromptToolUseConfig, ToolUseResult } from './type'
+import type { PromptToolUseConfig, ToolUseResult } from './type'
 
 /**
  * 工具使用标签配置

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

@@ -1,6 +1,6 @@
-import { ToolSet } from 'ai'
+import type { ToolSet } from 'ai'
 
-import { AiRequestContext } from '../..'
+import type { AiRequestContext } from '../..'
 
 /**
  * 解析结果类型

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

@@ -1,10 +1,11 @@
-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 type { anthropic } from '@ai-sdk/anthropic'
+import type { google } from '@ai-sdk/google'
+import type { openai } from '@ai-sdk/openai'
+import type { InferToolInput, InferToolOutput } from 'ai'
+import { type Tool } from 'ai'
 
-import { ProviderOptionsMap } from '../../../options/types'
-import { OpenRouterSearchConfig } from './openrouter'
+import type { ProviderOptionsMap } from '../../../options/types'
+import type { OpenRouterSearchConfig } from './openrouter'
 
 /**
  * 从 AI SDK 的工具函数中提取参数类型，以确保类型安全。

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

@@ -9,7 +9,8 @@ import { openai } from '@ai-sdk/openai'
 import { createOpenRouterOptions, createXaiOptions, mergeProviderOptions } from '../../../options'
 import { definePlugin } from '../../'
 import type { AiRequestContext } from '../../types'
-import { DEFAULT_WEB_SEARCH_CONFIG, WebSearchPluginConfig } from './helper'
+import type { WebSearchPluginConfig } from './helper'
+import { DEFAULT_WEB_SEARCH_CONFIG } from './helper'
 
 /**
  * 网络搜索插件

packages/aiCore/src/core/plugins/manager.ts

@@ -1,4 +1,4 @@
-import { AiPlugin, AiRequestContext } from './types'
+import type { AiPlugin, AiRequestContext } from './types'
 
 /**
  * 插件管理器

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

@@ -5,7 +5,7 @@
  * 例如: aihubmix:anthropic:claude-3.5-sonnet
  */
 
-import { ProviderV2 } from '@ai-sdk/provider'
+import type { ProviderV2 } from '@ai-sdk/provider'
 import { customProvider } from 'ai'
 
 import { globalRegistryManagement } from './RegistryManagement'

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

@@ -4,7 +4,7 @@
  * 基于 AI SDK 原生的 createProviderRegistry
  */
 
-import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
+import type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
 import { createProviderRegistry, type ProviderRegistryProvider } from 'ai'
 
 type PROVIDERS = Record<string, ProviderV2>

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

@@ -10,10 +10,11 @@ import { createGoogleGenerativeAI } from '@ai-sdk/google'
 import { createHuggingFace } from '@ai-sdk/huggingface'
 import { createOpenAI, type OpenAIProviderSettings } from '@ai-sdk/openai'
 import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
-import { LanguageModelV2 } from '@ai-sdk/provider'
+import type { LanguageModelV2 } from '@ai-sdk/provider'
 import { createXai } from '@ai-sdk/xai'
 import { createOpenRouter } from '@openrouter/ai-sdk-provider'
-import { customProvider, Provider } from 'ai'
+import type { Provider } from 'ai'
+import { customProvider } from 'ai'
 import * as z from 'zod'
 
 /**

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

@@ -4,7 +4,7 @@ import { type DeepSeekProviderSettings } from '@ai-sdk/deepseek'
 import { type GoogleGenerativeAIProviderSettings } from '@ai-sdk/google'
 import { type OpenAIProviderSettings } from '@ai-sdk/openai'
 import { type OpenAICompatibleProviderSettings } from '@ai-sdk/openai-compatible'
-import {
+import type {
   EmbeddingModelV2 as EmbeddingModel,
   ImageModelV2 as ImageModel,
   LanguageModelV2 as LanguageModel,

packages/aiCore/src/core/runtime/__tests__/generateImage.test.ts

@@ -1,4 +1,4 @@
-import { ImageModelV2 } from '@ai-sdk/provider'
+import type { ImageModelV2 } from '@ai-sdk/provider'
 import { experimental_generateImage as aiGenerateImage, NoImageGeneratedError } from 'ai'
 import { beforeEach, describe, expect, it, vi } from 'vitest'
 

packages/aiCore/src/core/runtime/executor.ts

@@ -2,12 +2,12 @@
  * 运行时执行器
  * 专注于插件化的AI调用处理
  */
-import { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModel } from 'ai'
 import {
   experimental_generateImage as _generateImage,
   generateObject as _generateObject,
   generateText as _generateText,
-  LanguageModel,
   streamObject as _streamObject,
   streamText as _streamText
 } from 'ai'

packages/aiCore/src/core/runtime/index.ts

@@ -11,7 +11,7 @@ export type { RuntimeConfig } from './types'
 
 // === 便捷工厂函数 ===
 
-import { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import type { LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 import { type AiPlugin } from '../plugins'
 import { type ProviderId, type ProviderSettingsMap } from '../providers/types'

packages/aiCore/src/core/runtime/pluginEngine.ts

@@ -1,6 +1,13 @@
 /* eslint-disable @eslint-react/naming-convention/context-name */
-import { ImageModelV2 } from '@ai-sdk/provider'
-import { experimental_generateImage, generateObject, generateText, LanguageModel, streamObject, streamText } from 'ai'
+import type { ImageModelV2 } from '@ai-sdk/provider'
+import type {
+  experimental_generateImage,
+  generateObject,
+  generateText,
+  LanguageModel,
+  streamObject,
+  streamText
+} from 'ai'
 
 import { type AiPlugin, createContext, PluginManager } from '../plugins'
 import { type ProviderId } from '../providers/types'

packages/aiCore/src/core/runtime/types.ts

@@ -1,8 +1,8 @@
 /**
  * Runtime 层类型定义
  */
-import { ImageModelV2 } from '@ai-sdk/provider'
-import { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'
+import type { ImageModelV2 } from '@ai-sdk/provider'
+import type { experimental_generateImage, generateObject, generateText, streamObject, streamText } from 'ai'
 
 import { type ModelConfig } from '../models/types'
 import { type AiPlugin } from '../plugins'

packages/extension-table-plus/src/kit/index.ts

@@ -1,4 +1,5 @@
-import { Extension, Node } from '@tiptap/core'
+import type { Node } from '@tiptap/core'
+import { Extension } from '@tiptap/core'
 
 import type { TableCellOptions } from '../cell/index.js'
 import { TableCell } from '../cell/index.js'

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

@@ -1,7 +1,7 @@
 import { SpanKind, SpanStatusCode } from '@opentelemetry/api'
-import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
+import type { ReadableSpan } from '@opentelemetry/sdk-trace-base'
 
-import { SpanEntity } from '../types/config'
+import type { SpanEntity } from '../types/config'
 
 /**
  * convert ReadableSpan to SpanEntity

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

@@ -1,4 +1,4 @@
-import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
+import type { ReadableSpan } from '@opentelemetry/sdk-trace-base'
 
 export interface TraceCache {
   createSpan: (span: ReadableSpan) => void

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

@@ -1,5 +1,6 @@
-import { ExportResult, ExportResultCode } from '@opentelemetry/core'
-import { ReadableSpan, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import type { ExportResult } from '@opentelemetry/core'
+import { ExportResultCode } from '@opentelemetry/core'
+import type { ReadableSpan, SpanExporter } from '@opentelemetry/sdk-trace-base'
 
 export type SaveFunction = (spans: ReadableSpan[]) => Promise<void>
 

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

@@ -1,7 +1,9 @@
-import { Context, trace } from '@opentelemetry/api'
-import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import type { Context } from '@opentelemetry/api'
+import { trace } from '@opentelemetry/api'
+import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
 
-import { TraceCache } from '../core/traceCache'
+import type { TraceCache } from '../core/traceCache'
 
 export class CacheBatchSpanProcessor extends BatchSpanProcessor {
   private cache: TraceCache

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

@@ -1,6 +1,7 @@
-import { Context } from '@opentelemetry/api'
-import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
-import { EventEmitter } from 'stream'
+import type { Context } from '@opentelemetry/api'
+import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
+import type { EventEmitter } from 'stream'
 
 import { convertSpanToSpanEntity } from '../core/spanConvert'
 

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

@@ -1,5 +1,7 @@
-import { Context, trace } from '@opentelemetry/api'
-import { BatchSpanProcessor, BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import type { Context } from '@opentelemetry/api'
+import { trace } from '@opentelemetry/api'
+import type { BufferConfig, ReadableSpan, Span, SpanExporter } from '@opentelemetry/sdk-trace-base'
+import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'
 
 export type SpanFunction = (span: ReadableSpan) => void
 

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

@@ -1,5 +1,5 @@
-import { Link } from '@opentelemetry/api'
-import { TimedEvent } from '@opentelemetry/sdk-trace-base'
+import type { Link } from '@opentelemetry/api'
+import type { TimedEvent } from '@opentelemetry/sdk-trace-base'
 
 export type AttributeValue =
   | string

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

@@ -1,11 +1,14 @@
-import { trace, Tracer } from '@opentelemetry/api'
+import type { Tracer } from '@opentelemetry/api'
+import { trace } from '@opentelemetry/api'
 import { AsyncLocalStorageContextManager } from '@opentelemetry/context-async-hooks'
 import { W3CTraceContextPropagator } from '@opentelemetry/core'
 import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
-import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import type { SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import { BatchSpanProcessor, ConsoleSpanExporter } from '@opentelemetry/sdk-trace-base'
 import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node'
 
-import { defaultConfig, TraceConfig } from '../trace-core/types/config'
+import type { TraceConfig } from '../trace-core/types/config'
+import { defaultConfig } from '../trace-core/types/config'
 
 export class NodeTracer {
   private static provider: NodeTracerProvider

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

@@ -1,4 +1,5 @@
-import { Context, ContextManager, ROOT_CONTEXT } from '@opentelemetry/api'
+import type { Context, ContextManager } from '@opentelemetry/api'
+import { ROOT_CONTEXT } from '@opentelemetry/api'
 
 export class TopicContextManager implements ContextManager {
   private topicContextStack: Map<string, Context[]>

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

@@ -1,4 +1,5 @@
-import { Context, context } from '@opentelemetry/api'
+import type { Context } from '@opentelemetry/api'
+import { context } from '@opentelemetry/api'
 
 const originalPromise = globalThis.Promise
 

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

@@ -1,9 +1,11 @@
 import { W3CTraceContextPropagator } from '@opentelemetry/core'
 import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-http'
-import { BatchSpanProcessor, ConsoleSpanExporter, SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import type { SpanProcessor } from '@opentelemetry/sdk-trace-base'
+import { BatchSpanProcessor, ConsoleSpanExporter } from '@opentelemetry/sdk-trace-base'
 import { WebTracerProvider } from '@opentelemetry/sdk-trace-web'
 
-import { defaultConfig, TraceConfig } from '../trace-core/types/config'
+import type { TraceConfig } from '../trace-core/types/config'
+import { defaultConfig } from '../trace-core/types/config'
 import { TopicContextManager } from './TopicContextManager'
 
 export const contextManager = new TopicContextManager()

packages/shared/IpcChannel.ts

@@ -96,6 +96,10 @@ export enum IpcChannel {
   AgentMessage_PersistExchange = 'agent-message:persist-exchange',
   AgentMessage_GetHistory = 'agent-message:get-history',
 
+  AgentToolPermission_Request = 'agent-tool-permission:request',
+  AgentToolPermission_Response = 'agent-tool-permission:response',
+  AgentToolPermission_Result = 'agent-tool-permission:result',
+
   //copilot
   Copilot_GetAuthMessage = 'copilot:get-auth-message',
   Copilot_GetCopilotToken = 'copilot:get-copilot-token',
@@ -318,6 +322,7 @@ export enum IpcChannel {
   ApiServer_Stop = 'api-server:stop',
   ApiServer_Restart = 'api-server:restart',
   ApiServer_GetStatus = 'api-server:get-status',
+  ApiServer_Ready = 'api-server:ready',
   // NOTE: This api is not be used.
   ApiServer_GetConfig = 'api-server:get-config',
 
@@ -350,5 +355,21 @@ export enum IpcChannel {
   Ovms_StopOVMS = 'ovms:stop-ovms',
 
   // CherryAI
-  Cherryai_GetSignature = 'cherryai:get-signature'
+  Cherryai_GetSignature = 'cherryai:get-signature',
+
+  // Claude Code Plugins
+  ClaudeCodePlugin_ListAvailable = 'claudeCodePlugin:list-available',
+  ClaudeCodePlugin_Install = 'claudeCodePlugin:install',
+  ClaudeCodePlugin_Uninstall = 'claudeCodePlugin:uninstall',
+  ClaudeCodePlugin_ListInstalled = 'claudeCodePlugin:list-installed',
+  ClaudeCodePlugin_InvalidateCache = 'claudeCodePlugin:invalidate-cache',
+  ClaudeCodePlugin_ReadContent = 'claudeCodePlugin:read-content',
+  ClaudeCodePlugin_WriteContent = 'claudeCodePlugin:write-content',
+
+  // WebSocket
+  WebSocket_Start = 'webSocket:start',
+  WebSocket_Stop = 'webSocket:stop',
+  WebSocket_Status = 'webSocket:status',
+  WebSocket_SendFile = 'webSocket:send-file',
+  WebSocket_GetAllCandidates = 'webSocket:get-all-candidates'
 }

packages/shared/anthropic/index.ts

@@ -9,9 +9,9 @@
  */
 
 import Anthropic from '@anthropic-ai/sdk'
-import { TextBlockParam } from '@anthropic-ai/sdk/resources'
+import type { TextBlockParam } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
-import { Provider } from '@types'
+import type { Provider } from '@types'
 import type { ModelMessage } from 'ai'
 
 const logger = loggerService.withContext('anthropic-sdk')

packages/shared/config/types.ts

@@ -1,4 +1,4 @@
-import { ProcessingStatus } from '@types'
+import type { ProcessingStatus } from '@types'
 
 export type LoaderReturn = {
   entriesAdded: number
@@ -31,3 +31,16 @@ export type WebviewKeyEvent = {
   shift: boolean
   alt: boolean
 }
+
+export interface WebSocketStatusResponse {
+  isRunning: boolean
+  port?: number
+  ip?: string
+  clientConnected: boolean
+}
+
+export interface WebSocketCandidatesResponse {
+  host: string
+  interface: string
+  priority: number
+}

src/main/apiServer/config.ts

@@ -1,4 +1,4 @@
-import { ApiServerConfig } from '@types'
+import type { ApiServerConfig } from '@types'
 import { v4 as uuidv4 } from 'uuid'
 
 import { loggerService } from '../services/LoggerService'

src/main/apiServer/middleware/auth.ts

@@ -1,5 +1,5 @@
 import crypto from 'crypto'
-import { NextFunction, Request, Response } from 'express'
+import type { NextFunction, Request, Response } from 'express'
 
 import { config } from '../config'
 

src/main/apiServer/middleware/error.ts

@@ -1,4 +1,4 @@
-import { NextFunction, Request, Response } from 'express'
+import type { NextFunction, Request, Response } from 'express'
 
 import { loggerService } from '../../services/LoggerService'
 

src/main/apiServer/middleware/openapi.ts

@@ -1,4 +1,4 @@
-import { Express } from 'express'
+import type { Express } from 'express'
 import swaggerJSDoc from 'swagger-jsdoc'
 import swaggerUi from 'swagger-ui-express'
 

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

@@ -1,7 +1,8 @@
 import { loggerService } from '@logger'
 import { AgentModelValidationError, agentService, sessionService } from '@main/services/agents'
-import { ListAgentsResponse, type ReplaceAgentRequest, type UpdateAgentRequest } from '@types'
-import { Request, Response } from 'express'
+import type { ListAgentsResponse } from '@types'
+import { type ReplaceAgentRequest, type UpdateAgentRequest } from '@types'
+import type { Request, Response } from 'express'
 
 import type { ValidationRequest } from '../validators/zodValidator'
 

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

@@ -2,7 +2,7 @@ import { loggerService } from '@logger'
 import { MESSAGE_STREAM_TIMEOUT_MS } from '@main/apiServer/config/timeouts'
 import { createStreamAbortController, STREAM_TIMEOUT_REASON } from '@main/apiServer/utils/createStreamAbortController'
 import { agentService, sessionMessageService, sessionService } from '@main/services/agents'
-import { Request, Response } from 'express'
+import type { Request, Response } from 'express'
 
 const logger = loggerService.withContext('ApiServerMessagesHandlers')
 

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

@@ -1,7 +1,8 @@
 import { loggerService } from '@logger'
 import { AgentModelValidationError, sessionMessageService, sessionService } from '@main/services/agents'
-import { ListAgentSessionsResponse, type ReplaceSessionRequest, UpdateSessionResponse } from '@types'
-import { Request, Response } from 'express'
+import type { ListAgentSessionsResponse, UpdateSessionResponse } from '@types'
+import { type ReplaceSessionRequest } from '@types'
+import type { Request, Response } from 'express'
 
 import type { ValidationRequest } from '../validators/zodValidator'
 

src/main/apiServer/routes/agents/middleware/common.ts

@@ -1,4 +1,4 @@
-import { Request, Response } from 'express'
+import type { Request, Response } from 'express'
 
 import { agentService } from '../../../../services/agents'
 import { loggerService } from '../../../../services/LoggerService'

src/main/apiServer/routes/agents/validators/zodValidator.ts

@@ -1,5 +1,6 @@
-import { NextFunction, Request, Response } from 'express'
-import { ZodError, ZodType } from 'zod'
+import type { NextFunction, Request, Response } from 'express'
+import type { ZodType } from 'zod'
+import { ZodError } from 'zod'
 
 export interface ValidationRequest extends Request {
   validatedBody?: any

src/main/apiServer/routes/chat.ts

@@ -1,5 +1,6 @@
-import { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
-import express, { Request, Response } from 'express'
+import type { ChatCompletionCreateParams } from '@cherrystudio/openai/resources'
+import type { Request, Response } from 'express'
+import express from 'express'
 
 import { loggerService } from '../../services/LoggerService'
 import {

src/main/apiServer/routes/mcp.ts

@@ -1,4 +1,5 @@
-import express, { Request, Response } from 'express'
+import type { Request, Response } from 'express'
+import express from 'express'
 
 import { loggerService } from '../../services/LoggerService'
 import { mcpApiService } from '../services/mcp'

src/main/apiServer/routes/messages.ts

@@ -1,7 +1,8 @@
-import { MessageCreateParams } from '@anthropic-ai/sdk/resources'
+import type { MessageCreateParams } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
-import { Provider } from '@types'
-import express, { Request, Response } from 'express'
+import type { Provider } from '@types'
+import type { Request, Response } from 'express'
+import express from 'express'
 
 import { messagesService } from '../services/messages'
 import { getProviderById, validateModelId } from '../utils'

src/main/apiServer/routes/models.ts

@@ -1,5 +1,7 @@
-import { ApiModelsFilterSchema, ApiModelsResponse } from '@types'
-import express, { Request, Response } from 'express'
+import type { ApiModelsResponse } from '@types'
+import { ApiModelsFilterSchema } from '@types'
+import type { Request, Response } from 'express'
+import express from 'express'
 
 import { loggerService } from '../../services/LoggerService'
 import { modelsService } from '../services/models'

src/main/apiServer/server.ts

@@ -1,8 +1,10 @@
 import { createServer } from 'node:http'
 
 import { loggerService } from '@logger'
+import { IpcChannel } from '@shared/IpcChannel'
 
 import { agentService } from '../services/agents'
+import { windowService } from '../services/WindowService'
 import { app } from './app'
 import { config } from './config'
 
@@ -43,6 +45,13 @@ export class ApiServer {
     return new Promise((resolve, reject) => {
       this.server!.listen(port, host, () => {
         logger.info('API server started', { host, port })
+
+        // Notify renderer that API server is ready
+        const mainWindow = windowService.getMainWindow()
+        if (mainWindow && !mainWindow.isDestroyed()) {
+          mainWindow.webContents.send(IpcChannel.ApiServer_Ready)
+        }
+
         resolve()
       })
 

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

@@ -1,9 +1,10 @@
 import OpenAI from '@cherrystudio/openai'
-import { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
-import { Provider } from '@types'
+import type { ChatCompletionCreateParams, ChatCompletionCreateParamsStreaming } from '@cherrystudio/openai/resources'
+import type { Provider } from '@types'
 
 import { loggerService } from '../../services/LoggerService'
-import { ModelValidationError, validateModelId } from '../utils'
+import type { ModelValidationError } from '../utils'
+import { validateModelId } from '../utils'
 
 const logger = loggerService.withContext('ChatCompletionService')
 

src/main/apiServer/services/mcp.ts

@@ -1,16 +1,12 @@
 import mcpService from '@main/services/MCPService'
 import { StreamableHTTPServerTransport } from '@modelcontextprotocol/sdk/server/streamableHttp'
-import {
-  isJSONRPCRequest,
-  JSONRPCMessage,
-  JSONRPCMessageSchema,
-  MessageExtraInfo
-} from '@modelcontextprotocol/sdk/types'
-import { MCPServer } from '@types'
+import type { JSONRPCMessage, MessageExtraInfo } from '@modelcontextprotocol/sdk/types'
+import { isJSONRPCRequest, JSONRPCMessageSchema } from '@modelcontextprotocol/sdk/types'
+import type { MCPServer } from '@types'
 import { randomUUID } from 'crypto'
 import { EventEmitter } from 'events'
-import { Request, Response } from 'express'
-import { IncomingMessage, ServerResponse } from 'http'
+import type { Request, Response } from 'express'
+import type { IncomingMessage, ServerResponse } from 'http'
 
 import { loggerService } from '../../services/LoggerService'
 import { getMcpServerById, getMCPServersFromRedux } from '../utils/mcp'

src/main/apiServer/services/messages.ts

@@ -1,10 +1,10 @@
-import Anthropic from '@anthropic-ai/sdk'
-import { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
+import type Anthropic from '@anthropic-ai/sdk'
+import type { MessageCreateParams, MessageStreamEvent } from '@anthropic-ai/sdk/resources'
 import { loggerService } from '@logger'
 import anthropicService from '@main/services/AnthropicService'
 import { buildClaudeCodeSystemMessage, getSdkClient } from '@shared/anthropic'
-import { Provider } from '@types'
-import { Response } from 'express'
+import type { Provider } from '@types'
+import type { Response } from 'express'
 
 const logger = loggerService.withContext('MessagesService')
 const EXCLUDED_FORWARD_HEADERS: ReadonlySet<string> = new Set([

src/main/apiServer/services/models.ts

@@ -1,6 +1,6 @@
 import { isEmpty } from 'lodash'
 
-import { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
+import type { ApiModel, ApiModelsFilter, ApiModelsResponse } from '../../../renderer/src/types/apiModels'
 import { loggerService } from '../../services/LoggerService'
 import {
   getAvailableProviders,

src/main/apiServer/utils/index.ts

@@ -1,7 +1,7 @@
 import { CacheService } from '@main/services/CacheService'
 import { loggerService } from '@main/services/LoggerService'
 import { reduxService } from '@main/services/ReduxService'
-import { ApiModel, Model, Provider } from '@types'
+import type { ApiModel, Model, Provider } from '@types'
 
 const logger = loggerService.withContext('ApiServerUtils')
 

src/main/apiServer/utils/mcp.ts

@@ -1,8 +1,9 @@
 import { CacheService } from '@main/services/CacheService'
 import mcpService from '@main/services/MCPService'
 import { Server } from '@modelcontextprotocol/sdk/server/index.js'
-import { CallToolRequestSchema, ListToolsRequestSchema, ListToolsResult } from '@modelcontextprotocol/sdk/types.js'
-import { MCPServer } from '@types'
+import type { ListToolsResult } from '@modelcontextprotocol/sdk/types.js'
+import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
+import type { MCPServer } from '@types'
 
 import { loggerService } from '../../services/LoggerService'
 import { reduxService } from '../../services/ReduxService'

src/main/ipc.ts

@@ -8,10 +8,12 @@ import { generateSignature } from '@main/integration/cherryai'
 import anthropicService from '@main/services/AnthropicService'
 import { getBinaryPath, isBinaryExists, runInstallScript } from '@main/utils/process'
 import { handleZoomFactor } from '@main/utils/zoom'
-import { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
-import { MIN_WINDOW_HEIGHT, MIN_WINDOW_WIDTH, UpgradeChannel } from '@shared/config/constant'
+import type { SpanEntity, TokenUsage } from '@mcp-trace/trace-core'
+import type { UpgradeChannel } from '@shared/config/constant'
+import { MIN_WINDOW_HEIGHT, MIN_WINDOW_WIDTH } from '@shared/config/constant'
 import { IpcChannel } from '@shared/IpcChannel'
-import {
+import type { PluginError } from '@types'
+import type {
   AgentPersistedMessage,
   FileMetadata,
   Notification,
@@ -22,10 +24,12 @@ import {
   ThemeMode
 } from '@types'
 import checkDiskSpace from 'check-disk-space'
-import { BrowserWindow, dialog, ipcMain, ProxyConfig, session, shell, systemPreferences, webContents } from 'electron'
+import type { ProxyConfig } from 'electron'
+import { BrowserWindow, dialog, ipcMain, session, shell, systemPreferences, webContents } from 'electron'
 import fontList from 'font-list'
 
 import { agentMessageRepository } from './services/agents/database'
+import { PluginService } from './services/agents/plugins/PluginService'
 import { apiServerService } from './services/ApiServerService'
 import appService from './services/AppService'
 import AppUpdater from './services/AppUpdater'
@@ -68,6 +72,7 @@ import {
 import storeSyncService from './services/StoreSyncService'
 import { themeService } from './services/ThemeService'
 import VertexAIService from './services/VertexAIService'
+import WebSocketService from './services/WebSocketService'
 import { setOpenLinkExternal } from './services/WebviewService'
 import { windowService } from './services/WindowService'
 import { calculateDirectorySize, getResourcePath } from './utils'
@@ -93,6 +98,18 @@ const vertexAIService = VertexAIService.getInstance()
 const memoryService = MemoryService.getInstance()
 const dxtService = new DxtService()
 const ovmsManager = new OvmsManager()
+const pluginService = PluginService.getInstance()
+
+function normalizeError(error: unknown): Error {
+  return error instanceof Error ? error : new Error(String(error))
+}
+
+function extractPluginError(error: unknown): PluginError | null {
+  if (error && typeof error === 'object' && 'type' in error && typeof (error as { type: unknown }).type === 'string') {
+    return error as PluginError
+  }
+  return null
+}
 
 export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
   const appUpdater = new AppUpdater()
@@ -890,4 +907,124 @@ export function registerIpc(mainWindow: BrowserWindow, app: Electron.App) {
 
   // CherryAI
   ipcMain.handle(IpcChannel.Cherryai_GetSignature, (_, params) => generateSignature(params))
+
+  // Claude Code Plugins
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_ListAvailable, async () => {
+    try {
+      const data = await pluginService.listAvailable()
+      return { success: true, data }
+    } catch (error) {
+      const pluginError = extractPluginError(error)
+      if (pluginError) {
+        logger.error('Failed to list available plugins', pluginError)
+        return { success: false, error: pluginError }
+      }
+
+      const err = normalizeError(error)
+      logger.error('Failed to list available plugins', err)
+      return {
+        success: false,
+        error: {
+          type: 'TRANSACTION_FAILED',
+          operation: 'list-available',
+          reason: err.message
+        }
+      }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_Install, async (_, options) => {
+    try {
+      const data = await pluginService.install(options)
+      return { success: true, data }
+    } catch (error) {
+      logger.error('Failed to install plugin', { options, error })
+      return { success: false, error }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_Uninstall, async (_, options) => {
+    try {
+      await pluginService.uninstall(options)
+      return { success: true, data: undefined }
+    } catch (error) {
+      logger.error('Failed to uninstall plugin', { options, error })
+      return { success: false, error }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_ListInstalled, async (_, agentId: string) => {
+    try {
+      const data = await pluginService.listInstalled(agentId)
+      return { success: true, data }
+    } catch (error) {
+      const pluginError = extractPluginError(error)
+      if (pluginError) {
+        logger.error('Failed to list installed plugins', { agentId, error: pluginError })
+        return { success: false, error: pluginError }
+      }
+
+      const err = normalizeError(error)
+      logger.error('Failed to list installed plugins', { agentId, error: err })
+      return {
+        success: false,
+        error: {
+          type: 'TRANSACTION_FAILED',
+          operation: 'list-installed',
+          reason: err.message
+        }
+      }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_InvalidateCache, async () => {
+    try {
+      pluginService.invalidateCache()
+      return { success: true, data: undefined }
+    } catch (error) {
+      const pluginError = extractPluginError(error)
+      if (pluginError) {
+        logger.error('Failed to invalidate plugin cache', pluginError)
+        return { success: false, error: pluginError }
+      }
+
+      const err = normalizeError(error)
+      logger.error('Failed to invalidate plugin cache', err)
+      return {
+        success: false,
+        error: {
+          type: 'TRANSACTION_FAILED',
+          operation: 'invalidate-cache',
+          reason: err.message
+        }
+      }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_ReadContent, async (_, sourcePath: string) => {
+    try {
+      const data = await pluginService.readContent(sourcePath)
+      return { success: true, data }
+    } catch (error) {
+      logger.error('Failed to read plugin content', { sourcePath, error })
+      return { success: false, error }
+    }
+  })
+
+  ipcMain.handle(IpcChannel.ClaudeCodePlugin_WriteContent, async (_, options) => {
+    try {
+      await pluginService.writeContent(options.agentId, options.filename, options.type, options.content)
+      return { success: true, data: undefined }
+    } catch (error) {
+      logger.error('Failed to write plugin content', { options, error })
+      return { success: false, error }
+    }
+  })
+
+  // WebSocket
+  ipcMain.handle(IpcChannel.WebSocket_Start, WebSocketService.start)
+  ipcMain.handle(IpcChannel.WebSocket_Stop, WebSocketService.stop)
+  ipcMain.handle(IpcChannel.WebSocket_Status, WebSocketService.getStatus)
+  ipcMain.handle(IpcChannel.WebSocket_SendFile, WebSocketService.sendFile)
+  ipcMain.handle(IpcChannel.WebSocket_GetAllCandidates, WebSocketService.getAllCandidates)
 }

src/main/knowledge/embedjs/embeddings/Embeddings.ts

@@ -1,6 +1,6 @@
 import type { BaseEmbeddings } from '@cherrystudio/embedjs-interfaces'
 import { TraceMethod } from '@mcp-trace/trace-core'
-import { ApiClient } from '@types'
+import type { ApiClient } from '@types'
 
 import EmbeddingsFactory from './EmbeddingsFactory'
 

src/main/knowledge/embedjs/embeddings/EmbeddingsFactory.ts

@@ -1,15 +1,15 @@
 import type { BaseEmbeddings } from '@cherrystudio/embedjs-interfaces'
 import { OllamaEmbeddings } from '@cherrystudio/embedjs-ollama'
 import { OpenAiEmbeddings } from '@cherrystudio/embedjs-openai'
-import { AzureOpenAiEmbeddings } from '@cherrystudio/embedjs-openai/src/azure-openai-embeddings'
-import { ApiClient } from '@types'
+import type { ApiClient } from '@types'
+import { net } from 'electron'
 
 import { VoyageEmbeddings } from './VoyageEmbeddings'
 
 export default class EmbeddingsFactory {
   static create({ embedApiClient, dimensions }: { embedApiClient: ApiClient; dimensions?: number }): BaseEmbeddings {
     const batchSize = 10
-    const { model, provider, apiKey, apiVersion, baseURL } = embedApiClient
+    const { model, provider, apiKey, baseURL } = embedApiClient
     if (provider === 'voyageai') {
       return new VoyageEmbeddings({
         modelName: model,
@@ -38,22 +38,13 @@ export default class EmbeddingsFactory {
         }
       })
     }
-    if (apiVersion !== undefined) {
-      return new AzureOpenAiEmbeddings({
-        azureOpenAIApiKey: apiKey,
-        azureOpenAIApiVersion: apiVersion,
-        azureOpenAIApiDeploymentName: model,
-        azureOpenAIEndpoint: baseURL,
-        dimensions,
-        batchSize
-      })
-    }
+    // NOTE: Azure OpenAI 也走 OpenAIEmbeddings, baseURL是https://xxxx.openai.azure.com/openai/v1
     return new OpenAiEmbeddings({
       model,
       apiKey,
       dimensions,
       batchSize,
-      configuration: { baseURL }
+      configuration: { baseURL, fetch: net.fetch as typeof fetch }
     })
   }
 }

src/main/knowledge/embedjs/loader/index.ts

@@ -1,10 +1,11 @@
-import { JsonLoader, LocalPathLoader, RAGApplication, TextLoader } from '@cherrystudio/embedjs'
+import type { RAGApplication } from '@cherrystudio/embedjs'
+import { JsonLoader, LocalPathLoader, TextLoader } from '@cherrystudio/embedjs'
 import type { AddLoaderReturn } from '@cherrystudio/embedjs-interfaces'
 import { WebLoader } from '@cherrystudio/embedjs-loader-web'
 import { loggerService } from '@logger'
 import { readTextFileWithAutoEncoding } from '@main/utils/file'
-import { LoaderReturn } from '@shared/config/types'
-import { FileMetadata, KnowledgeBaseParams } from '@types'
+import type { LoaderReturn } from '@shared/config/types'
+import type { FileMetadata, KnowledgeBaseParams } from '@types'
 
 import { DraftsExportLoader } from './draftsExportLoader'
 import { EpubLoader } from './epubLoader'

src/main/knowledge/embedjs/loader/odLoader.ts

@@ -3,7 +3,8 @@ import { cleanString } from '@cherrystudio/embedjs-utils'
 import { RecursiveCharacterTextSplitter } from '@langchain/textsplitters'
 import { loggerService } from '@logger'
 import md5 from 'md5'
-import { OfficeParserConfig, parseOfficeAsync } from 'officeparser'
+import type { OfficeParserConfig } from 'officeparser'
+import { parseOfficeAsync } from 'officeparser'
 
 const logger = loggerService.withContext('OdLoader')
 

src/main/knowledge/preprocess/BasePreprocessProvider.ts

@@ -4,7 +4,7 @@ import path from 'node:path'
 import { loggerService } from '@logger'
 import { windowService } from '@main/services/WindowService'
 import { getFileExt, getTempDir } from '@main/utils/file'
-import { FileMetadata, PreprocessProvider } from '@types'
+import type { FileMetadata, PreprocessProvider } from '@types'
 import { PDFDocument } from 'pdf-lib'
 
 const logger = loggerService.withContext('BasePreprocessProvider')

src/main/knowledge/preprocess/DefaultPreprocessProvider.ts

@@ -1,4 +1,4 @@
-import { FileMetadata, PreprocessProvider } from '@types'
+import type { FileMetadata, PreprocessProvider } from '@types'
 
 import BasePreprocessProvider from './BasePreprocessProvider'
 

src/main/knowledge/preprocess/Doc2xPreprocessProvider.ts

@@ -3,7 +3,7 @@ import path from 'node:path'
 
 import { loggerService } from '@logger'
 import { fileStorage } from '@main/services/FileStorage'
-import { FileMetadata, PreprocessProvider } from '@types'
+import type { FileMetadata, PreprocessProvider } from '@types'
 import AdmZip from 'adm-zip'
 import { net } from 'electron'
 

src/main/knowledge/preprocess/MineruPreprocessProvider.ts

@@ -3,7 +3,7 @@ import path from 'node:path'
 
 import { loggerService } from '@logger'
 import { fileStorage } from '@main/services/FileStorage'
-import { FileMetadata, PreprocessProvider } from '@types'
+import type { FileMetadata, PreprocessProvider } from '@types'
 import AdmZip from 'adm-zip'
 import { net } from 'electron'
 

src/main/knowledge/preprocess/MistralPreprocessProvider.ts

@@ -4,11 +4,12 @@ import { loggerService } from '@logger'
 import { fileStorage } from '@main/services/FileStorage'
 import { MistralClientManager } from '@main/services/MistralClientManager'
 import { MistralService } from '@main/services/remotefile/MistralService'
-import { Mistral } from '@mistralai/mistralai'
-import { DocumentURLChunk } from '@mistralai/mistralai/models/components/documenturlchunk'
-import { ImageURLChunk } from '@mistralai/mistralai/models/components/imageurlchunk'
-import { OCRResponse } from '@mistralai/mistralai/models/components/ocrresponse'
-import { FileMetadata, FileTypes, PreprocessProvider, Provider } from '@types'
+import type { Mistral } from '@mistralai/mistralai'
+import type { DocumentURLChunk } from '@mistralai/mistralai/models/components/documenturlchunk'
+import type { ImageURLChunk } from '@mistralai/mistralai/models/components/imageurlchunk'
+import type { OCRResponse } from '@mistralai/mistralai/models/components/ocrresponse'
+import type { FileMetadata, PreprocessProvider, Provider } from '@types'
+import { FileTypes } from '@types'
 import path from 'path'
 
 import BasePreprocessProvider from './BasePreprocessProvider'

src/main/knowledge/preprocess/OpenMineruPreprocessProvider.ts

@@ -0,0 +1,199 @@
+import fs from 'node:fs'
+import path from 'node:path'
+
+import { loggerService } from '@logger'
+import { fileStorage } from '@main/services/FileStorage'
+import type { FileMetadata, PreprocessProvider } from '@types'
+import AdmZip from 'adm-zip'
+import { net } from 'electron'
+import FormData from 'form-data'
+
+import BasePreprocessProvider from './BasePreprocessProvider'
+
+const logger = loggerService.withContext('MineruPreprocessProvider')
+
+export default class OpenMineruPreprocessProvider extends BasePreprocessProvider {
+  constructor(provider: PreprocessProvider, userId?: string) {
+    super(provider, userId)
+  }
+
+  public async parseFile(
+    sourceId: string,
+    file: FileMetadata
+  ): Promise<{ processedFile: FileMetadata; quota: number }> {
+    try {
+      const filePath = fileStorage.getFilePathById(file)
+      logger.info(`Open MinerU preprocess processing started: ${filePath}`)
+      await this.validateFile(filePath)
+
+      // 1. Update progress
+      await this.sendPreprocessProgress(sourceId, 50)
+      logger.info(`File ${file.name} is starting processing...`)
+
+      // 2. Upload file and extract
+      const { path: outputPath } = await this.uploadFileAndExtract(file)
+
+      // 3. Check quota
+      const quota = await this.checkQuota()
+
+      // 4. Create processed file info
+      return {
+        processedFile: this.createProcessedFileInfo(file, outputPath),
+        quota
+      }
+    } catch (error) {
+      logger.error(`Open MinerU preprocess processing failed for:`, error as Error)
+      throw error
+    }
+  }
+
+  public async checkQuota() {
+    // self-hosted version always has enough quota
+    return Infinity
+  }
+
+  private async validateFile(filePath: string): Promise<void> {
+    const pdfBuffer = await fs.promises.readFile(filePath)
+
+    const doc = await this.readPdf(pdfBuffer)
+
+    // File page count must be less than 600 pages
+    if (doc.numPages >= 600) {
+      throw new Error(`PDF page count (${doc.numPages}) exceeds the limit of 600 pages`)
+    }
+    // File size must be less than 200MB
+    if (pdfBuffer.length >= 200 * 1024 * 1024) {
+      const fileSizeMB = Math.round(pdfBuffer.length / (1024 * 1024))
+      throw new Error(`PDF file size (${fileSizeMB}MB) exceeds the limit of 200MB`)
+    }
+  }
+
+  private createProcessedFileInfo(file: FileMetadata, outputPath: string): FileMetadata {
+    // Find the main file after extraction
+    let finalPath = ''
+    let finalName = file.origin_name.replace('.pdf', '.md')
+    // Find the corresponding folder by file name
+    outputPath = path.join(outputPath, `${file.origin_name.replace('.pdf', '')}`)
+    try {
+      const files = fs.readdirSync(outputPath)
+
+      const mdFile = files.find((f) => f.endsWith('.md'))
+      if (mdFile) {
+        const originalMdPath = path.join(outputPath, mdFile)
+        const newMdPath = path.join(outputPath, finalName)
+
+        // Rename file to original file name
+        try {
+          fs.renameSync(originalMdPath, newMdPath)
+          finalPath = newMdPath
+          logger.info(`Renamed markdown file from ${mdFile} to ${finalName}`)
+        } catch (renameError) {
+          logger.warn(`Failed to rename file ${mdFile} to ${finalName}: ${renameError}`)
+          // If rename fails, use the original file
+          finalPath = originalMdPath
+          finalName = mdFile
+        }
+      }
+    } catch (error) {
+      logger.warn(`Failed to read output directory ${outputPath}:`, error as Error)
+      finalPath = path.join(outputPath, `${file.id}.md`)
+    }
+
+    return {
+      ...file,
+      name: finalName,
+      path: finalPath,
+      ext: '.md',
+      size: fs.existsSync(finalPath) ? fs.statSync(finalPath).size : 0
+    }
+  }
+
+  private async uploadFileAndExtract(
+    file: FileMetadata,
+    maxRetries: number = 5,
+    intervalMs: number = 5000
+  ): Promise<{ path: string }> {
+    let retries = 0
+
+    const endpoint = `${this.provider.apiHost}/file_parse`
+
+    // Get file stream
+    const filePath = fileStorage.getFilePathById(file)
+    const fileBuffer = await fs.promises.readFile(filePath)
+
+    const formData = new FormData()
+    formData.append('return_md', 'true')
+    formData.append('response_format_zip', 'true')
+    formData.append('files', fileBuffer, {
+      filename: file.origin_name
+    })
+
+    while (retries < maxRetries) {
+      let zipPath: string | undefined
+
+      try {
+        const response = await net.fetch(endpoint, {
+          method: 'POST',
+          headers: {
+            token: this.userId ?? '',
+            ...(this.provider.apiKey ? { Authorization: `Bearer ${this.provider.apiKey}` } : {}),
+            ...formData.getHeaders()
+          },
+          body: formData.getBuffer()
+        })
+
+        if (!response.ok) {
+          throw new Error(`HTTP ${response.status}: ${response.statusText}`)
+        }
+
+        // Check if response header is application/zip
+        if (response.headers.get('content-type') !== 'application/zip') {
+          throw new Error(`Downloaded ZIP file has unexpected content-type: ${response.headers.get('content-type')}`)
+        }
+
+        const dirPath = this.storageDir
+
+        zipPath = path.join(dirPath, `${file.id}.zip`)
+        const extractPath = path.join(dirPath, `${file.id}`)
+
+        const arrayBuffer = await response.arrayBuffer()
+        fs.writeFileSync(zipPath, Buffer.from(arrayBuffer))
+        logger.info(`Downloaded ZIP file: ${zipPath}`)
+
+        // Ensure extraction directory exists
+        if (!fs.existsSync(extractPath)) {
+          fs.mkdirSync(extractPath, { recursive: true })
+        }
+
+        // Extract files
+        const zip = new AdmZip(zipPath)
+        zip.extractAllTo(extractPath, true)
+        logger.info(`Extracted files to: ${extractPath}`)
+
+        return { path: extractPath }
+      } catch (error) {
+        logger.warn(
+          `Failed to upload and extract file: ${(error as Error).message}, retry ${retries + 1}/${maxRetries}`
+        )
+        if (retries === maxRetries - 1) {
+          throw error
+        }
+      } finally {
+        // Delete temporary ZIP file
+        if (zipPath && fs.existsSync(zipPath)) {
+          try {
+            fs.unlinkSync(zipPath)
+            logger.info(`Deleted temporary ZIP file: ${zipPath}`)
+          } catch (deleteError) {
+            logger.warn(`Failed to delete temporary ZIP file ${zipPath}:`, deleteError as Error)
+          }
+        }
+      }
+
+      retries++
+      await new Promise((resolve) => setTimeout(resolve, intervalMs))
+    }
+
+    throw new Error(`Processing timeout for file: ${file.id}`)
+  }
+}

src/main/knowledge/preprocess/PreprocessProvider.ts

@@ -1,6 +1,6 @@
-import { FileMetadata, PreprocessProvider as Provider } from '@types'
+import type { FileMetadata, PreprocessProvider as Provider } from '@types'
 
-import BasePreprocessProvider from './BasePreprocessProvider'
+import type BasePreprocessProvider from './BasePreprocessProvider'
 import PreprocessProviderFactory from './PreprocessProviderFactory'
 
 export default class PreprocessProvider {

src/main/knowledge/preprocess/PreprocessProviderFactory.ts

@@ -1,10 +1,11 @@
-import { PreprocessProvider } from '@types'
+import type { PreprocessProvider } from '@types'
 
-import BasePreprocessProvider from './BasePreprocessProvider'
+import type BasePreprocessProvider from './BasePreprocessProvider'
 import DefaultPreprocessProvider from './DefaultPreprocessProvider'
 import Doc2xPreprocessProvider from './Doc2xPreprocessProvider'
 import MineruPreprocessProvider from './MineruPreprocessProvider'
 import MistralPreprocessProvider from './MistralPreprocessProvider'
+import OpenMineruPreprocessProvider from './OpenMineruPreprocessProvider'
 export default class PreprocessProviderFactory {
   static create(provider: PreprocessProvider, userId?: string): BasePreprocessProvider {
     switch (provider.id) {
@@ -14,6 +15,8 @@ export default class PreprocessProviderFactory {
         return new MistralPreprocessProvider(provider)
       case 'mineru':
         return new MineruPreprocessProvider(provider, userId)
+      case 'open-mineru':
+        return new OpenMineruPreprocessProvider(provider, userId)
       default:
         return new DefaultPreprocessProvider(provider)
     }

src/main/knowledge/reranker/BaseReranker.ts

@@ -1,7 +1,7 @@
 import { DEFAULT_DOCUMENT_COUNT, DEFAULT_RELEVANT_SCORE } from '@main/utils/knowledge'
-import { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
+import type { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
 
-import { MultiModalDocument, RerankStrategy } from './strategies/RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './strategies/RerankStrategy'
 import { StrategyFactory } from './strategies/StrategyFactory'
 
 export default abstract class BaseReranker {

src/main/knowledge/reranker/GeneralReranker.ts

@@ -1,4 +1,4 @@
-import { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
+import type { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
 import { net } from 'electron'
 
 import BaseReranker from './BaseReranker'

src/main/knowledge/reranker/Reranker.ts

@@ -1,4 +1,4 @@
-import { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
+import type { KnowledgeBaseParams, KnowledgeSearchResult } from '@types'
 
 import GeneralReranker from './GeneralReranker'
 

src/main/knowledge/reranker/strategies/BailianStrategy.ts

@@ -1,4 +1,4 @@
-import { MultiModalDocument, RerankStrategy } from './RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './RerankStrategy'
 export class BailianStrategy implements RerankStrategy {
   buildUrl(): string {
     return 'https://dashscope.aliyuncs.com/api/v1/services/rerank/text-rerank/text-rerank'

src/main/knowledge/reranker/strategies/DefaultStrategy.ts

@@ -1,4 +1,4 @@
-import { MultiModalDocument, RerankStrategy } from './RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './RerankStrategy'
 export class DefaultStrategy implements RerankStrategy {
   buildUrl(baseURL?: string): string {
     if (baseURL && baseURL.endsWith('/')) {

src/main/knowledge/reranker/strategies/JinaStrategy.ts

@@ -1,4 +1,4 @@
-import { MultiModalDocument, RerankStrategy } from './RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './RerankStrategy'
 export class JinaStrategy implements RerankStrategy {
   buildUrl(baseURL?: string): string {
     if (baseURL && baseURL.endsWith('/')) {

src/main/knowledge/reranker/strategies/StrategyFactory.ts

@@ -1,7 +1,7 @@
 import { BailianStrategy } from './BailianStrategy'
 import { DefaultStrategy } from './DefaultStrategy'
 import { JinaStrategy } from './JinaStrategy'
-import { RerankStrategy } from './RerankStrategy'
+import type { RerankStrategy } from './RerankStrategy'
 import { TEIStrategy } from './TeiStrategy'
 import { isTEIProvider, RERANKER_PROVIDERS } from './types'
 import { VoyageAIStrategy } from './VoyageStrategy'

src/main/knowledge/reranker/strategies/TeiStrategy.ts

@@ -1,4 +1,4 @@
-import { MultiModalDocument, RerankStrategy } from './RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './RerankStrategy'
 export class TEIStrategy implements RerankStrategy {
   buildUrl(baseURL?: string): string {
     if (baseURL && baseURL.endsWith('/')) {

src/main/knowledge/reranker/strategies/VoyageStrategy.ts

@@ -1,4 +1,4 @@
-import { MultiModalDocument, RerankStrategy } from './RerankStrategy'
+import type { MultiModalDocument, RerankStrategy } from './RerankStrategy'
 export class VoyageAIStrategy implements RerankStrategy {
   buildUrl(baseURL?: string): string {
     if (baseURL && baseURL.endsWith('/')) {

src/main/mcpServers/brave-search.ts

@@ -2,7 +2,8 @@
 // port https://github.com/modelcontextprotocol/servers/blob/main/src/brave-search/index.ts
 
 import { Server } from '@modelcontextprotocol/sdk/server/index.js'
-import { CallToolRequestSchema, ListToolsRequestSchema, Tool } from '@modelcontextprotocol/sdk/types.js'
+import type { Tool } from '@modelcontextprotocol/sdk/types.js'
+import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
 import { net } from 'electron'
 
 const WEB_SEARCH_TOOL: Tool = {

src/main/mcpServers/factory.ts

@@ -1,6 +1,7 @@
 import { loggerService } from '@logger'
-import { Server } from '@modelcontextprotocol/sdk/server/index.js'
-import { BuiltinMCPServerName, BuiltinMCPServerNames } from '@types'
+import type { Server } from '@modelcontextprotocol/sdk/server/index.js'
+import type { BuiltinMCPServerName } from '@types'
+import { BuiltinMCPServerNames } from '@types'
 
 import BraveSearchServer from './brave-search'
 import DiDiMcpServer from './didi-mcp'

src/main/mcpServers/sequentialthinking.ts

@@ -3,7 +3,8 @@
 
 import { loggerService } from '@logger'
 import { Server } from '@modelcontextprotocol/sdk/server/index.js'
-import { CallToolRequestSchema, ListToolsRequestSchema, Tool } from '@modelcontextprotocol/sdk/types.js'
+import type { Tool } from '@modelcontextprotocol/sdk/types.js'
+import { CallToolRequestSchema, ListToolsRequestSchema } from '@modelcontextprotocol/sdk/types.js'
 // Fixed chalk import for ESM
 import chalk from 'chalk'