Use platform-specific selector for Windows scrollbar styling

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

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

.github/CODEOWNERS

@@ -1,6 +1,4 @@
 /src/renderer/src/store/ @0xfullex
-/src/renderer/src/databases/ @0xfullex
 /src/main/services/ConfigManager.ts @0xfullex
 /packages/shared/IpcChannel.ts @0xfullex
-/src/main/ipc.ts @0xfullex
-/app-upgrade-config.json @kangfenmao
+/src/main/ipc.ts @0xfullex

.github/ISSUE_TEMPLATE/0_bug_report.yml

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

.github/ISSUE_TEMPLATE/3_others.yml

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

.github/pull_request_template.md

@@ -3,18 +3,6 @@
 1. Consider creating this PR as draft: https://github.com/CherryHQ/cherry-studio/blob/main/CONTRIBUTING.md
 -->
 
-<!--
-
-⚠️ Important: Redux/IndexedDB Data-Changing Feature PRs Temporarily On Hold ⚠️
-
-Please note: For our current development cycle, we are not accepting feature Pull Requests that introduce changes to Redux data models or IndexedDB schemas.
-
-While we value your contributions, PRs of this nature will be blocked without merge. We welcome all other contributions (bug fixes, perf enhancements, docs, etc.). Thank you!
-
-Once version 2.0.0 is released, we will resume reviewing feature PRs.
-
--->
-
 ### What this PR does
 
 Before this PR:

.github/workflows/auto-i18n.yml

@@ -1,21 +1,19 @@
-name: Auto I18N Weekly
+name: Auto I18N
 
 env:
-  TRANSLATION_API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
-  TRANSLATION_MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
-  TRANSLATION_BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
-  TRANSLATION_BASE_LOCALE: ${{ vars.AUTO_I18N_BASE_LOCALE || 'en-us'}}
+  API_KEY: ${{ secrets.TRANSLATE_API_KEY }}
+  MODEL: ${{ vars.AUTO_I18N_MODEL || 'deepseek/deepseek-v3.1'}}
+  BASE_URL: ${{ vars.AUTO_I18N_BASE_URL || 'https://api.ppinfra.com/openai'}}
 
 on:
-  schedule:
-    # Runs at 00:00 UTC every Sunday.
-    # This corresponds to 08:00 AM UTC+8 (Beijing time) every Sunday.
-    - cron: "0 0 * * 0"
+  pull_request:
+    types: [opened, synchronize, reopened]
   workflow_dispatch:
 
 jobs:
   auto-i18n:
     runs-on: ubuntu-latest
+    if: github.event.pull_request.head.repo.full_name == 'CherryHQ/cherry-studio'
     name: Auto I18N
     permissions:
       contents: write
@@ -25,69 +23,44 @@ jobs:
       - name: 🐈‍⬛ Checkout
         uses: actions/checkout@v5
         with:
-          fetch-depth: 0
+          ref: ${{ github.event.pull_request.head.ref }}
 
       - name: 📦 Setting Node.js
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v5
         with:
-          node-version: 22
+          node-version: 20
 
-      - name: 📦 Install corepack
-        run: corepack enable && corepack prepare yarn@4.9.1 --activate
-
-      - name: 📂 Get yarn cache directory path
-        id: yarn-cache-dir-path
-        run: echo "dir=$(yarn config get cacheFolder)" >> $GITHUB_OUTPUT
-
-      - name: 💾 Cache yarn dependencies
-        uses: actions/cache@v4
-        with:
-          path: |
-            ${{ steps.yarn-cache-dir-path.outputs.dir }}
-            node_modules
-          key: ${{ runner.os }}-yarn-${{ hashFiles('**/yarn.lock') }}
-          restore-keys: |
-            ${{ runner.os }}-yarn-
-
-      - name: 📦 Install dependencies
+      - name: 📦 Install dependencies in isolated directory
         run: |
-          yarn install
+          # 在临时目录安装依赖
+          mkdir -p /tmp/translation-deps
+          cd /tmp/translation-deps
+          echo '{"dependencies": {"openai": "^5.12.2", "cli-progress": "^3.12.0", "tsx": "^4.20.3", "@biomejs/biome": "2.2.4"}}' > package.json
+          npm install --no-package-lock
+
+          # 设置 NODE_PATH 让项目能找到这些依赖
+          echo "NODE_PATH=/tmp/translation-deps/node_modules" >> $GITHUB_ENV
 
       - name: 🏃‍♀️ Translate
-        run: yarn sync:i18n && yarn auto:i18n
+        run: npx tsx scripts/auto-translate-i18n.ts
 
       - name: 🔍 Format
-        run: yarn format
+        run: cd /tmp/translation-deps && npx biome format --config-path /home/runner/work/cherry-studio/cherry-studio/biome.jsonc --write /home/runner/work/cherry-studio/cherry-studio/src/renderer/src/i18n/
 
-      - name: 🔍 Check for changes
-        id: git_status
+      - name: 🔄 Commit changes
         run: |
-          # Check if there are any uncommitted changes
+          git config --local user.email "action@github.com"
+          git config --local user.name "GitHub Action"
+          git add .
           git reset -- package.json yarn.lock  # 不提交 package.json 和 yarn.lock 的更改
-          git diff --exit-code --quiet || echo "::set-output name=has_changes::true"
-          git status --porcelain
+          if git diff --cached --quiet; then
+            echo "No changes to commit"
+          else
+            git commit -m "fix(i18n): Auto update translations for PR #${{ github.event.pull_request.number }}"
+          fi
 
-      - name: 📅 Set current date for PR title
-        id: set_date
-        run: echo "CURRENT_DATE=$(date +'%b %d, %Y')" >> $GITHUB_ENV # e.g., "Jun 06, 2024"
-
-      - name: 🚀 Create Pull Request if changes exist
-        if: steps.git_status.outputs.has_changes == 'true'
-        uses: peter-evans/create-pull-request@v6
+      - name: 🚀 Push changes
+        uses: ad-m/github-push-action@master
         with:
-          token: ${{ secrets.GITHUB_TOKEN }} # Use the built-in GITHUB_TOKEN for bot actions
-          commit-message: "feat(bot): Weekly automated script run"
-          title: "🤖 Weekly Auto I18N Sync: ${{ env.CURRENT_DATE }}"
-          body: |
-            This PR includes changes generated by the weekly auto i18n.
-            Review the changes before merging.
-
-            ---
-            _Generated by the automated weekly workflow_
-          branch: "auto-i18n-weekly-${{ github.run_id }}" # Unique branch name
-          base: "main" # Or 'develop', set your base branch
-          delete-branch: true # Delete the branch after merging or closing the PR
-
-      - name: 📢 Notify if no changes
-        if: steps.git_status.outputs.has_changes != 'true'
-        run: echo "Bot script ran, but no changes were detected. No PR created."
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          branch: ${{ github.event.pull_request.head.ref }}

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

@@ -5,7 +5,7 @@ on:
     types: [opened]
   schedule:
     # Run every day at 8:30 Beijing Time (00:30 UTC)
-    - cron: "30 0 * * *"
+    - cron: '30 0 * * *'
   workflow_dispatch:
 
 jobs:
@@ -54,59 +54,50 @@ jobs:
 
       - name: Setup Node.js
         if: steps.check_time.outputs.should_delay == 'false'
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v4
         with:
-          node-version: 22
+          node-version: '20'
 
-      - name: Process issue with Claude
+      - name: Summarize issue with Claude
         if: steps.check_time.outputs.should_delay == 'false'
+        id: summarize
         uses: anthropics/claude-code-action@main
         with:
           github_token: ${{ secrets.GITHUB_TOKEN }}
-          allowed_non_write_users: "*"
           anthropic_api_key: ${{ secrets.CLAUDE_TRANSLATOR_APIKEY }}
-          claude_args: "--allowed-tools Bash(gh issue:*),Bash(node scripts/feishu-notify.js)"
           prompt: |
-            你是一个GitHub Issue自动化处理助手。请完成以下任务：
+            Please analyze this GitHub issue and provide a concise summary in Chinese (中文).
 
-            ## 当前Issue信息
-            - Issue编号：#${{ github.event.issue.number }}
-            - 标题：${{ github.event.issue.title }}
-            - 作者：${{ github.event.issue.user.login }}
-            - URL：${{ github.event.issue.html_url }}
-            - 内容：${{ github.event.issue.body }}
-            - 标签：${{ join(github.event.issue.labels.*.name, ', ') }}
+            Issue #${{ github.event.issue.number }}: ${{ github.event.issue.title }}
+            Author: ${{ github.event.issue.user.login }}
+            URL: ${{ github.event.issue.html_url }}
 
-            ## 任务步骤
+            Issue Body:
+            ${{ github.event.issue.body }}
 
-            1. **分析并总结issue**
-               用中文（简体）提供简洁的总结（2-3句话），包括：
-               - 问题的主要内容
-               - 核心诉求
-               - 重要的技术细节
+            Please provide:
+            1. A brief Chinese summary of the issue (2-3 sentences)
+            2. The main problem or request
+            3. Any important technical details mentioned
 
-            2. **发送飞书通知**
-               使用以下命令发送飞书通知（注意：ISSUE_SUMMARY需要用引号包裹）：
-               ```bash
-               ISSUE_URL="${{ github.event.issue.html_url }}" \
-               ISSUE_NUMBER="${{ github.event.issue.number }}" \
-               ISSUE_TITLE="${{ github.event.issue.title }}" \
-               ISSUE_AUTHOR="${{ github.event.issue.user.login }}" \
-               ISSUE_LABELS="${{ join(github.event.issue.labels.*.name, ',') }}" \
-               ISSUE_SUMMARY="<你生成的中文总结>" \
-               node scripts/feishu-notify.js
-               ```
-
-            ## 注意事项
-            - 总结必须使用简体中文
-            - ISSUE_SUMMARY 在传递给 node 命令时需要正确转义特殊字符
-            - 如果issue内容为空，也要提供一个简短的说明
-
-            请开始执行任务！
+            Format your response in clean markdown, suitable for display in a notification card.
+            Keep it concise but informative.
         env:
           ANTHROPIC_BASE_URL: ${{ secrets.CLAUDE_TRANSLATOR_BASEURL }}
+
+      - name: Send to Feishu immediately
+        if: steps.check_time.outputs.should_delay == 'false'
+        env:
           FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
           FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}
+          ISSUE_URL: ${{ github.event.issue.html_url }}
+          ISSUE_NUMBER: ${{ github.event.issue.number }}
+          ISSUE_TITLE: ${{ github.event.issue.title }}
+          ISSUE_AUTHOR: ${{ github.event.issue.user.login }}
+          ISSUE_LABELS: ${{ join(github.event.issue.labels.*.name, ',') }}
+          ISSUE_SUMMARY: ${{ steps.summarize.outputs.response }}
+        run: |
+          node scripts/feishu-notify.js
 
   process-pending-issues:
     if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
@@ -121,9 +112,9 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Setup Node.js
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v4
         with:
-          node-version: 22
+          node-version: '20'
 
       - name: Process pending issues with Claude
         uses: anthropics/claude-code-action@main

.github/workflows/issue-management.yml

@@ -21,7 +21,7 @@ jobs:
       contents: none
     steps:
       - name: Close needs-more-info issues
-        uses: actions/stale@v10
+        uses: actions/stale@v9
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           only-labels: 'needs-more-info'
@@ -29,10 +29,8 @@ 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。
@@ -42,14 +40,12 @@ jobs:
           days-before-pr-close: -1
 
       - name: Close inactive issues
-        uses: actions/stale@v10
+        uses: actions/stale@v9
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           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。

.github/workflows/nightly-build.yml

@@ -3,7 +3,7 @@ name: Nightly Build
 on:
   workflow_dispatch:
   schedule:
-    - cron: "0 17 * * *" # 1:00 BJ Time
+    - cron: '0 17 * * *' # 1:00 BJ Time
 
 permissions:
   contents: write
@@ -56,9 +56,9 @@ jobs:
           ref: main
 
       - name: Install Node.js
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v5
         with:
-          node-version: 22
+          node-version: 20
 
       - name: macos-latest dependencies fix
         if: matrix.os == 'macos-latest'
@@ -66,7 +66,7 @@ jobs:
           brew install python-setuptools
 
       - name: Install corepack
-        run: corepack enable && corepack prepare yarn@4.9.1 --activate
+        run: corepack enable && corepack prepare yarn@4.6.0 --activate
 
       - name: Get yarn cache directory path
         id: yarn-cache-dir-path
@@ -208,7 +208,7 @@ jobs:
           echo "总计: $(find renamed-artifacts -type f | wc -l) 个文件"
 
       - name: Upload artifacts
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v4
         with:
           name: cherry-studio-nightly-${{ steps.date.outputs.date }}-${{ matrix.os }}
           path: renamed-artifacts/*

.github/workflows/pr-ci.yml

@@ -24,12 +24,12 @@ jobs:
         uses: actions/checkout@v5
 
       - name: Install Node.js
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v5
         with:
-          node-version: 22
+          node-version: 20
 
       - name: Install corepack
-        run: corepack enable && corepack prepare yarn@4.9.1 --activate
+        run: corepack enable && corepack prepare yarn@4.6.0 --activate
 
       - name: Get yarn cache directory path
         id: yarn-cache-dir-path

.github/workflows/release.yml

@@ -4,9 +4,9 @@ on:
   workflow_dispatch:
     inputs:
       tag:
-        description: "Release tag (e.g. v1.0.0)"
+        description: 'Release tag (e.g. v1.0.0)'
         required: true
-        default: "v1.0.0"
+        default: 'v1.0.0'
   push:
     tags:
       - v*.*.*
@@ -47,9 +47,9 @@ jobs:
           npm version "$VERSION" --no-git-tag-version --allow-same-version
 
       - name: Install Node.js
-        uses: actions/setup-node@v6
+        uses: actions/setup-node@v5
         with:
-          node-version: 22
+          node-version: 20
 
       - name: macos-latest dependencies fix
         if: matrix.os == 'macos-latest'
@@ -57,7 +57,7 @@ jobs:
           brew install python-setuptools
 
       - name: Install corepack
-        run: corepack enable && corepack prepare yarn@4.9.1 --activate
+        run: corepack enable && corepack prepare yarn@4.6.0 --activate
 
       - name: Get yarn cache directory path
         id: yarn-cache-dir-path
@@ -127,5 +127,5 @@ jobs:
           allowUpdates: true
           makeLatest: false
           tag: ${{ steps.get-tag.outputs.tag }}
-          artifacts: "dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap"
+          artifacts: 'dist/*.exe,dist/*.zip,dist/*.dmg,dist/*.AppImage,dist/*.snap,dist/*.deb,dist/*.rpm,dist/*.tar.gz,dist/latest*.yml,dist/rc*.yml,dist/beta*.yml,dist/*.blockmap'
           token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/update-app-upgrade-config.yml

@@ -1,212 +0,0 @@
-name: Update App Upgrade Config
-
-on:
-  release:
-    types:
-      - released
-      - prereleased
-  workflow_dispatch:
-    inputs:
-      tag:
-        description: "Release tag (e.g., v1.2.3)"
-        required: true
-        type: string
-      is_prerelease:
-        description: "Mark the tag as a prerelease when running manually"
-        required: false
-        default: false
-        type: boolean
-
-permissions:
-  contents: write
-  pull-requests: write
-
-jobs:
-  propose-update:
-    runs-on: ubuntu-latest
-    if: github.event_name == 'workflow_dispatch' || (github.event_name == 'release' && github.event.release.draft == false)
-
-    steps:
-      - name: Check if should proceed
-        id: check
-        run: |
-          EVENT="${{ github.event_name }}"
-
-          if [ "$EVENT" = "workflow_dispatch" ]; then
-            TAG="${{ github.event.inputs.tag }}"
-          else
-            TAG="${{ github.event.release.tag_name }}"
-          fi
-
-          latest_tag=$(
-            curl -L \
-              -H "Accept: application/vnd.github+json" \
-              -H "Authorization: Bearer ${{ github.token }}" \
-              -H "X-GitHub-Api-Version: 2022-11-28" \
-              https://api.github.com/repos/${{ github.repository }}/releases/latest \
-              | jq -r '.tag_name'
-          )
-
-          if [ "$EVENT" = "workflow_dispatch" ]; then
-            MANUAL_IS_PRERELEASE="${{ github.event.inputs.is_prerelease }}"
-            if [ -z "$MANUAL_IS_PRERELEASE" ]; then
-              MANUAL_IS_PRERELEASE="false"
-            fi
-            if [ "$MANUAL_IS_PRERELEASE" = "true" ]; then
-              if ! echo "$TAG" | grep -E '(-beta([.-][0-9]+)?|-rc([.-][0-9]+)?)' >/dev/null; then
-                echo "Manual prerelease flag set but tag $TAG lacks beta/rc suffix. Skipping." >&2
-                echo "should_run=false" >> "$GITHUB_OUTPUT"
-                echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
-                echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-                exit 0
-              fi
-            fi
-            echo "should_run=true" >> "$GITHUB_OUTPUT"
-            echo "is_prerelease=$MANUAL_IS_PRERELEASE" >> "$GITHUB_OUTPUT"
-            echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-            exit 0
-          fi
-
-          IS_PRERELEASE="${{ github.event.release.prerelease }}"
-
-          if [ "$IS_PRERELEASE" = "true" ]; then
-            if ! echo "$TAG" | grep -E '(-beta([.-][0-9]+)?|-rc([.-][0-9]+)?)' >/dev/null; then
-              echo "Release marked as prerelease but tag $TAG lacks beta/rc suffix. Skipping." >&2
-              echo "should_run=false" >> "$GITHUB_OUTPUT"
-              echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
-              echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-              exit 0
-            fi
-            echo "should_run=true" >> "$GITHUB_OUTPUT"
-            echo "is_prerelease=true" >> "$GITHUB_OUTPUT"
-            echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-            echo "Release is prerelease, proceeding"
-            exit 0
-          fi
-
-          if [[ "${latest_tag}" == "$TAG" ]]; then
-            echo "should_run=true" >> "$GITHUB_OUTPUT"
-            echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
-            echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-            echo "Release is latest, proceeding"
-          else
-            echo "should_run=false" >> "$GITHUB_OUTPUT"
-            echo "is_prerelease=false" >> "$GITHUB_OUTPUT"
-            echo "latest_tag=$latest_tag" >> "$GITHUB_OUTPUT"
-            echo "Release is neither prerelease nor latest, skipping"
-          fi
-
-      - name: Prepare metadata
-        id: meta
-        if: steps.check.outputs.should_run == 'true'
-        run: |
-          EVENT="${{ github.event_name }}"
-          LATEST_TAG="${{ steps.check.outputs.latest_tag }}"
-          if [ "$EVENT" = "release" ]; then
-            TAG="${{ github.event.release.tag_name }}"
-            PRE="${{ github.event.release.prerelease }}"
-
-            if [ -n "$LATEST_TAG" ] && [ "$LATEST_TAG" = "$TAG" ]; then
-              LATEST="true"
-            else
-              LATEST="false"
-            fi
-            TRIGGER="release"
-          else
-            TAG="${{ github.event.inputs.tag }}"
-            PRE="${{ github.event.inputs.is_prerelease }}"
-            if [ -z "$PRE" ]; then
-              PRE="false"
-            fi
-            if [ -n "$LATEST_TAG" ] && [ "$LATEST_TAG" = "$TAG" ] && [ "$PRE" != "true" ]; then
-              LATEST="true"
-            else
-              LATEST="false"
-            fi
-            TRIGGER="manual"
-          fi
-
-          SAFE_TAG=$(echo "$TAG" | sed 's/[^A-Za-z0-9._-]/-/g')
-          echo "tag=$TAG" >> "$GITHUB_OUTPUT"
-          echo "safe_tag=$SAFE_TAG" >> "$GITHUB_OUTPUT"
-          echo "prerelease=$PRE" >> "$GITHUB_OUTPUT"
-          echo "latest=$LATEST" >> "$GITHUB_OUTPUT"
-          echo "trigger=$TRIGGER" >> "$GITHUB_OUTPUT"
-
-      - name: Checkout default branch
-        if: steps.check.outputs.should_run == 'true'
-        uses: actions/checkout@v5
-        with:
-          ref: ${{ github.event.repository.default_branch }}
-          path: main
-          fetch-depth: 0
-
-      - name: Checkout x-files/app-upgrade-config branch
-        if: steps.check.outputs.should_run == 'true'
-        uses: actions/checkout@v5
-        with:
-          ref: x-files/app-upgrade-config
-          path: cs
-          fetch-depth: 0
-
-      - name: Setup Node.js
-        if: steps.check.outputs.should_run == 'true'
-        uses: actions/setup-node@v4
-        with:
-          node-version: 22
-
-      - name: Enable Corepack
-        if: steps.check.outputs.should_run == 'true'
-        run: corepack enable && corepack prepare yarn@4.9.1 --activate
-
-      - name: Install dependencies
-        if: steps.check.outputs.should_run == 'true'
-        working-directory: main
-        run: yarn install --immutable
-
-      - name: Update upgrade config
-        if: steps.check.outputs.should_run == 'true'
-        working-directory: main
-        env:
-          RELEASE_TAG: ${{ steps.meta.outputs.tag }}
-          IS_PRERELEASE: ${{ steps.check.outputs.is_prerelease }}
-        run: |
-          yarn tsx scripts/update-app-upgrade-config.ts \
-            --tag "$RELEASE_TAG" \
-            --config ../cs/app-upgrade-config.json \
-            --is-prerelease "$IS_PRERELEASE"
-
-      - name: Detect changes
-        if: steps.check.outputs.should_run == 'true'
-        id: diff
-        working-directory: cs
-        run: |
-          if git diff --quiet -- app-upgrade-config.json; then
-            echo "changed=false" >> "$GITHUB_OUTPUT"
-          else
-            echo "changed=true" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Create pull request
-        if: steps.check.outputs.should_run == 'true' && steps.diff.outputs.changed == 'true'
-        uses: peter-evans/create-pull-request@v7
-        with:
-          path: cs
-          base: x-files/app-upgrade-config
-          branch: chore/update-app-upgrade-config/${{ steps.meta.outputs.safe_tag }}
-          commit-message: "🤖 chore: sync app-upgrade-config for ${{ steps.meta.outputs.tag }}"
-          title: "chore: update app-upgrade-config for ${{ steps.meta.outputs.tag }}"
-          body: |
-            Automated update triggered by `${{ steps.meta.outputs.trigger }}`.
-
-            - Source tag: `${{ steps.meta.outputs.tag }}`
-            - Pre-release: `${{ steps.meta.outputs.prerelease }}`
-            - Latest: `${{ steps.meta.outputs.latest }}`
-            - Workflow run: https://github.com/${{ github.repository }}/actions/runs/${{ github.run_id }}
-          labels: |
-            automation
-            app-upgrade
-
-      - name: No changes detected
-        if: steps.check.outputs.should_run == 'true' && steps.diff.outputs.changed != 'true'
-        run: echo "No updates required for x-files/app-upgrade-config/app-upgrade-config.json"

.oxlintrc.json

@@ -22,6 +22,7 @@
     "eslint.config.mjs"
   ],
   "overrides": [
+    // set different env
     {
       "env": {
         "node": true
@@ -35,7 +36,8 @@
       "files": [
         "src/renderer/**/*.{ts,tsx}",
         "packages/aiCore/**",
-        "packages/extension-table-plus/**"
+        "packages/extension-table-plus/**",
+        "resources/js/**"
       ]
     },
     {
@@ -51,24 +53,76 @@
         "node": true
       },
       "files": ["src/preload/**"]
-    },
-    {
-      "files": ["packages/ai-sdk-provider/**"],
-      "globals": {
-        "fetch": "readonly"
-      }
     }
   ],
+  // We don't use the React plugin here because its behavior differs slightly from that of ESLint's React plugin.
   "plugins": ["unicorn", "typescript", "oxc", "import"],
   "rules": {
+    "constructor-super": "error",
+    "for-direction": "error",
+    "getter-return": "error",
     "no-array-constructor": "off",
+    // "import/no-cycle": "error", // tons of error, bro
+    "no-async-promise-executor": "error",
     "no-caller": "warn",
+    "no-case-declarations": "error",
+    "no-class-assign": "error",
+    "no-compare-neg-zero": "error",
+    "no-cond-assign": "error",
+    "no-const-assign": "error",
+    "no-constant-binary-expression": "error",
+    "no-constant-condition": "error",
+    "no-control-regex": "error",
+    "no-debugger": "error",
+    "no-delete-var": "error",
+    "no-dupe-args": "error",
+    "no-dupe-class-members": "error",
+    "no-dupe-else-if": "error",
+    "no-dupe-keys": "error",
+    "no-duplicate-case": "error",
+    "no-empty": "error",
+    "no-empty-character-class": "error",
+    "no-empty-pattern": "error",
+    "no-empty-static-block": "error",
     "no-eval": "warn",
+    "no-ex-assign": "error",
+    "no-extra-boolean-cast": "error",
     "no-fallthrough": "warn",
+    "no-func-assign": "error",
+    "no-global-assign": "error",
+    "no-import-assign": "error",
+    "no-invalid-regexp": "error",
+    "no-irregular-whitespace": "error",
+    "no-loss-of-precision": "error",
+    "no-misleading-character-class": "error",
+    "no-new-native-nonconstructor": "error",
+    "no-nonoctal-decimal-escape": "error",
+    "no-obj-calls": "error",
+    "no-octal": "error",
+    "no-prototype-builtins": "error",
+    "no-redeclare": "error",
+    "no-regex-spaces": "error",
+    "no-self-assign": "error",
+    "no-setter-return": "error",
+    "no-shadow-restricted-names": "error",
+    "no-sparse-arrays": "error",
+    "no-this-before-super": "error",
     "no-unassigned-vars": "warn",
-    "no-unused-expressions": "off",
+    "no-undef": "error",
+    "no-unexpected-multiline": "error",
+    "no-unreachable": "error",
+    "no-unsafe-finally": "error",
+    "no-unsafe-negation": "error",
+    "no-unsafe-optional-chaining": "error",
+    "no-unused-expressions": "off", // this rule disallow us to use expression to call function, like `condition && fn()`
+    "no-unused-labels": "error",
+    "no-unused-private-class-members": "error",
     "no-unused-vars": ["warn", { "caughtErrors": "none" }],
+    "no-useless-backreference": "error",
+    "no-useless-catch": "error",
+    "no-useless-escape": "error",
     "no-useless-rename": "warn",
+    "no-with": "error",
     "oxc/bad-array-method-on-arguments": "warn",
     "oxc/bad-char-at-comparison": "warn",
     "oxc/bad-comparison-sequence": "warn",
@@ -80,17 +134,19 @@
     "oxc/erasing-op": "warn",
     "oxc/missing-throw": "warn",
     "oxc/number-arg-out-of-range": "warn",
-    "oxc/only-used-in-recursion": "off",
+    "oxc/only-used-in-recursion": "off", // manually off bacause of existing warning. may turn it on in the future
     "oxc/uninvoked-array-callback": "warn",
+    "require-yield": "error",
     "typescript/await-thenable": "warn",
-    "typescript/consistent-type-imports": "error",
+    // "typescript/ban-ts-comment": "error",
     "typescript/no-array-constructor": "error",
+    // "typescript/consistent-type-imports": "error",
     "typescript/no-array-delete": "warn",
     "typescript/no-base-to-string": "warn",
     "typescript/no-duplicate-enum-values": "error",
     "typescript/no-duplicate-type-constituents": "warn",
     "typescript/no-empty-object-type": "off",
-    "typescript/no-explicit-any": "off",
+    "typescript/no-explicit-any": "off", // not safe but too many errors
     "typescript/no-extra-non-null-assertion": "error",
     "typescript/no-floating-promises": "warn",
     "typescript/no-for-in-array": "warn",
@@ -99,7 +155,7 @@
     "typescript/no-misused-new": "error",
     "typescript/no-misused-spread": "warn",
     "typescript/no-namespace": "error",
-    "typescript/no-non-null-asserted-optional-chain": "off",
+    "typescript/no-non-null-asserted-optional-chain": "off", // it's off now. but may turn it on.
     "typescript/no-redundant-type-constituents": "warn",
     "typescript/no-require-imports": "off",
     "typescript/no-this-alias": "error",
@@ -117,18 +173,20 @@
     "typescript/triple-slash-reference": "error",
     "typescript/unbound-method": "warn",
     "unicorn/no-await-in-promise-methods": "warn",
-    "unicorn/no-empty-file": "off",
+    "unicorn/no-empty-file": "off", // manually off bacause of existing warning. may turn it on in the future
     "unicorn/no-invalid-fetch-options": "warn",
     "unicorn/no-invalid-remove-event-listener": "warn",
-    "unicorn/no-new-array": "off",
+    "unicorn/no-new-array": "off", // manually off bacause of existing warning. may turn it on in the future
     "unicorn/no-single-promise-in-promise-methods": "warn",
-    "unicorn/no-thenable": "off",
+    "unicorn/no-thenable": "off", // manually off bacause of existing warning. may turn it on in the future
     "unicorn/no-unnecessary-await": "warn",
     "unicorn/no-useless-fallback-in-spread": "warn",
     "unicorn/no-useless-length-check": "warn",
-    "unicorn/no-useless-spread": "off",
+    "unicorn/no-useless-spread": "off", // manually off bacause of existing warning. may turn it on in the future
     "unicorn/prefer-set-size": "warn",
-    "unicorn/prefer-string-starts-ends-with": "warn"
+    "unicorn/prefer-string-starts-ends-with": "warn",
+    "use-isnan": "error",
+    "valid-typeof": "error"
   },
   "settings": {
     "jsdoc": {

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

@@ -0,0 +1,13 @@
+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-2.0.40-47e0eeee83.patch

@@ -1,26 +0,0 @@
-diff --git a/dist/index.js b/dist/index.js
-index dc7b74ba55337c491cdf1ab3e39ca68cc4187884..ace8c90591288e42c2957e93c9bf7984f1b22444 100644
---- a/dist/index.js
-+++ b/dist/index.js
-@@ -472,7 +472,7 @@ 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 8390439c38cb7eaeb52080862cd6f4c58509e67c..a7647f2e11700dff7e1c8d4ae8f99d3637010733 100644
---- a/dist/index.mjs
-+++ b/dist/index.mjs
-@@ -478,7 +478,7 @@ 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-compatible-npm-1.0.27-06f74278cf.patch

@@ -1,140 +0,0 @@
-diff --git a/dist/index.js b/dist/index.js
-index 73045a7d38faafdc7f7d2cd79d7ff0e2b031056b..8d948c9ac4ea4b474db9ef3c5491961e7fcf9a07 100644
---- a/dist/index.js
-+++ b/dist/index.js
-@@ -421,6 +421,17 @@ var OpenAICompatibleChatLanguageModel = class {
-         text: reasoning
-       });
-     }
-+    if (choice.message.images) {
-+      for (const image of choice.message.images) {
-+        const match1 = image.image_url.url.match(/^data:([^;]+)/)
-+        const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
-+        content.push({
-+          type: 'file',
-+          mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
-+          data: match2 ? match2[1] : image.image_url.url,
-+        });
-+      }
-+    }
-     if (choice.message.tool_calls != null) {
-       for (const toolCall of choice.message.tool_calls) {
-         content.push({
-@@ -598,6 +609,17 @@ var OpenAICompatibleChatLanguageModel = class {
-                 delta: delta.content
-               });
-             }
-+            if (delta.images) {
-+              for (const image of delta.images) {
-+                const match1 = image.image_url.url.match(/^data:([^;]+)/)
-+                const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
-+                controller.enqueue({
-+                  type: 'file',
-+                  mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
-+                  data: match2 ? match2[1] : image.image_url.url,
-+                });
-+              }
-+            }
-             if (delta.tool_calls != null) {
-               for (const toolCallDelta of delta.tool_calls) {
-                 const index = toolCallDelta.index;
-@@ -765,6 +787,14 @@ var OpenAICompatibleChatResponseSchema = import_v43.z.object({
-               arguments: import_v43.z.string()
-             })
-           })
-+        ).nullish(),
-+        images: import_v43.z.array(
-+          import_v43.z.object({
-+            type: import_v43.z.literal('image_url'),
-+            image_url: import_v43.z.object({
-+              url: import_v43.z.string(),
-+            })
-+          })
-         ).nullish()
-       }),
-       finish_reason: import_v43.z.string().nullish()
-@@ -795,6 +825,14 @@ var createOpenAICompatibleChatChunkSchema = (errorSchema) => import_v43.z.union(
-                 arguments: import_v43.z.string().nullish()
-               })
-             })
-+          ).nullish(),
-+          images: import_v43.z.array(
-+            import_v43.z.object({
-+              type: import_v43.z.literal('image_url'),
-+              image_url: import_v43.z.object({
-+                url: import_v43.z.string(),
-+              })
-+            })
-           ).nullish()
-         }).nullish(),
-         finish_reason: import_v43.z.string().nullish()
-diff --git a/dist/index.mjs b/dist/index.mjs
-index 1c2b9560bbfbfe10cb01af080aeeed4ff59db29c..2c8ddc4fc9bfc5e7e06cfca105d197a08864c427 100644
---- a/dist/index.mjs
-+++ b/dist/index.mjs
-@@ -405,6 +405,17 @@ var OpenAICompatibleChatLanguageModel = class {
-         text: reasoning
-       });
-     }
-+    if (choice.message.images) {
-+      for (const image of choice.message.images) {
-+        const match1 = image.image_url.url.match(/^data:([^;]+)/)
-+        const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
-+        content.push({
-+          type: 'file',
-+          mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
-+          data: match2 ? match2[1] : image.image_url.url,
-+        });
-+      }
-+    }
-     if (choice.message.tool_calls != null) {
-       for (const toolCall of choice.message.tool_calls) {
-         content.push({
-@@ -582,6 +593,17 @@ var OpenAICompatibleChatLanguageModel = class {
-                 delta: delta.content
-               });
-             }
-+            if (delta.images) {
-+              for (const image of delta.images) {
-+                const match1 = image.image_url.url.match(/^data:([^;]+)/)
-+                const match2 = image.image_url.url.match(/^data:[^;]*;base64,(.+)$/);
-+                controller.enqueue({
-+                  type: 'file',
-+                  mediaType: match1 ? (match1[1] ?? 'image/jpeg') : 'image/jpeg',
-+                  data: match2 ? match2[1] : image.image_url.url,
-+                });
-+              }
-+            }
-             if (delta.tool_calls != null) {
-               for (const toolCallDelta of delta.tool_calls) {
-                 const index = toolCallDelta.index;
-@@ -749,6 +771,14 @@ var OpenAICompatibleChatResponseSchema = z3.object({
-               arguments: z3.string()
-             })
-           })
-+        ).nullish(),
-+        images: z3.array(
-+          z3.object({
-+            type: z3.literal('image_url'),
-+            image_url: z3.object({
-+              url: z3.string(),
-+            })
-+          })
-         ).nullish()
-       }),
-       finish_reason: z3.string().nullish()
-@@ -779,6 +809,14 @@ var createOpenAICompatibleChatChunkSchema = (errorSchema) => z3.union([
-                 arguments: z3.string().nullish()
-               })
-             })
-+          ).nullish(),
-+          images: z3.array(
-+            z3.object({
-+              type: z3.literal('image_url'),
-+              image_url: z3.object({
-+                url: z3.string(),
-+              })
-+            })
-           ).nullish()
-         }).nullish(),
-         finish_reason: z3.string().nullish()

.yarn/patches/@ai-sdk-openai-npm-2.0.71-a88ef00525.patch

@@ -1,74 +0,0 @@
-diff --git a/dist/index.js b/dist/index.js
-index 7481f3b3511078068d87d03855b568b20bb86971..8ac5ec28d2f7ad1b3b0d3f8da945c75674e59637 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(),
-@@ -795,6 +797,13 @@ 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",
-@@ -876,6 +885,7 @@ var OpenAIChatLanguageModel = class {
-     };
-     let metadataExtracted = false;
-     let isActiveText = false;
-+    let isActiveReasoning = false;
-     const providerMetadata = { openai: {} };
-     return {
-       stream: response.pipeThrough(
-@@ -933,6 +943,21 @@ 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" });
-@@ -1045,6 +1070,9 @@ 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-0.1.1-d937b73fed.patch

@@ -1,24 +1,24 @@
 diff --git a/sdk.mjs b/sdk.mjs
-index 8cc6aaf0b25bcdf3c579ec95cde12d419fcb2a71..3b3b8beaea5ad2bbac26a15f792058306d0b059f 100755
+index 461e9a2ba246778261108a682762ffcf26f7224e..44bd667d9f591969d36a105ba5eb8b478c738dd8 100644
 --- a/sdk.mjs
 +++ b/sdk.mjs
-@@ -6213,7 +6213,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
+@@ -6215,7 +6215,7 @@ function createAbortController(maxListeners = DEFAULT_MAX_LISTENERS) {
  }
- 
+
  // ../src/transport/ProcessTransport.ts
 -import { spawn } from "child_process";
 +import { fork } from "child_process";
  import { createInterface } from "readline";
- 
+
  // ../src/utils/fsOperations.ts
-@@ -6505,14 +6505,11 @@ class ProcessTransport {
+@@ -6473,14 +6473,11 @@ class ProcessTransport {
          const errorMessage = isNativeBinary(pathToClaudeCodeExecutable) ? `Claude Code native binary not found at ${pathToClaudeCodeExecutable}. Please ensure Claude Code is installed via native installer or specify a valid path with options.pathToClaudeCodeExecutable.` : `Claude Code executable not found at ${pathToClaudeCodeExecutable}. Is options.pathToClaudeCodeExecutable set?`;
          throw new ReferenceError(errorMessage);
        }
 -      const isNative = isNativeBinary(pathToClaudeCodeExecutable);
 -      const spawnCommand = isNative ? pathToClaudeCodeExecutable : executable;
--      const spawnArgs = isNative ? [...executableArgs, ...args] : [...executableArgs, pathToClaudeCodeExecutable, ...args];
--      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${spawnCommand} ${spawnArgs.join(" ")}` : `Spawning Claude Code process: ${spawnCommand} ${spawnArgs.join(" ")}`);
+-      const spawnArgs = isNative ? args : [...executableArgs, pathToClaudeCodeExecutable, ...args];
+-      this.logForDebugging(isNative ? `Spawning Claude Code native binary: ${pathToClaudeCodeExecutable} ${args.join(" ")}` : `Spawning Claude Code process: ${executable} ${[...executableArgs, pathToClaudeCodeExecutable, ...args].join(" ")}`);
 +      this.logForDebugging(`Forking Claude Code Node.js process: ${pathToClaudeCodeExecutable} ${args.join(" ")}`);
        const stderrMode = env.DEBUG || stderr ? "pipe" : "ignore";
 -      this.child = spawn(spawnCommand, spawnArgs, {

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

@@ -0,0 +1,71 @@
+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

@@ -1,68 +0,0 @@
-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

@@ -0,0 +1,19 @@
+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

@@ -1,17 +0,0 @@
-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;

.yarn/patches/app-builder-lib-npm-26.0.15-360e5b0476.patch

@@ -0,0 +1,276 @@
+diff --git a/out/macPackager.js b/out/macPackager.js
+index 852f6c4d16f86a7bb8a78bf1ed5a14647a279aa1..60e7f5f16a844541eb1909b215fcda1811e924b8 100644
+--- a/out/macPackager.js
++++ b/out/macPackager.js
+@@ -423,7 +423,7 @@ class MacPackager extends platformPackager_1.PlatformPackager {
+         }
+         appPlist.CFBundleName = appInfo.productName;
+         appPlist.CFBundleDisplayName = appInfo.productName;
+-        const minimumSystemVersion = this.platformSpecificBuildOptions.minimumSystemVersion;
++        const minimumSystemVersion = this.platformSpecificBuildOptions.LSMinimumSystemVersion;
+         if (minimumSystemVersion != null) {
+             appPlist.LSMinimumSystemVersion = minimumSystemVersion;
+         }
+diff --git a/out/publish/updateInfoBuilder.js b/out/publish/updateInfoBuilder.js
+index 7924c5b47d01f8dfccccb8f46658015fa66da1f7..1a1588923c3939ae1297b87931ba83f0ebc052d8 100644
+--- a/out/publish/updateInfoBuilder.js
++++ b/out/publish/updateInfoBuilder.js
+@@ -133,6 +133,7 @@ async function createUpdateInfo(version, event, releaseInfo) {
+     const customUpdateInfo = event.updateInfo;
+     const url = path.basename(event.file);
+     const sha512 = (customUpdateInfo == null ? null : customUpdateInfo.sha512) || (await (0, hash_1.hashFile)(event.file));
++    const minimumSystemVersion = customUpdateInfo == null ? null : customUpdateInfo.minimumSystemVersion;
+     const files = [{ url, sha512 }];
+     const result = {
+         // @ts-ignore
+@@ -143,9 +144,13 @@ async function createUpdateInfo(version, event, releaseInfo) {
+         path: url /* backward compatibility, electron-updater 1.x - electron-updater 2.15.0 */,
+         // @ts-ignore
+         sha512 /* backward compatibility, electron-updater 1.x - electron-updater 2.15.0 */,
++        minimumSystemVersion,
+         ...releaseInfo,
+     };
+     if (customUpdateInfo != null) {
++        if (customUpdateInfo.minimumSystemVersion) {
++            delete customUpdateInfo.minimumSystemVersion;
++        }
+         // file info or nsis web installer packages info
+         Object.assign("sha512" in customUpdateInfo ? files[0] : result, customUpdateInfo);
+     }
+diff --git a/out/targets/ArchiveTarget.js b/out/targets/ArchiveTarget.js
+index e1f52a5fa86fff6643b2e57eaf2af318d541f865..47cc347f154a24b365e70ae5e1f6d309f3582ed0 100644
+--- a/out/targets/ArchiveTarget.js
++++ b/out/targets/ArchiveTarget.js
+@@ -69,6 +69,9 @@ class ArchiveTarget extends core_1.Target {
+                     }
+                 }
+             }
++            if (updateInfo != null && this.packager.platformSpecificBuildOptions.minimumSystemVersion) {
++                updateInfo.minimumSystemVersion = this.packager.platformSpecificBuildOptions.minimumSystemVersion;
++            }
+             await packager.info.emitArtifactBuildCompleted({
+                 updateInfo,
+                 file: artifactPath,
+diff --git a/out/targets/nsis/NsisTarget.js b/out/targets/nsis/NsisTarget.js
+index e8bd7bb46c8a54b3f55cf3a853ef924195271e01..f956e9f3fe9eb903c78aef3502553b01de4b89b1 100644
+--- a/out/targets/nsis/NsisTarget.js
++++ b/out/targets/nsis/NsisTarget.js
+@@ -305,6 +305,9 @@ class NsisTarget extends core_1.Target {
+             if (updateInfo != null && isPerMachine && (oneClick || options.packElevateHelper)) {
+                 updateInfo.isAdminRightsRequired = true;
+             }
++            if (updateInfo != null && this.packager.platformSpecificBuildOptions.minimumSystemVersion) {
++                updateInfo.minimumSystemVersion = this.packager.platformSpecificBuildOptions.minimumSystemVersion;
++            }
+             await packager.info.emitArtifactBuildCompleted({
+                 file: installerPath,
+                 updateInfo,
+diff --git a/out/util/yarn.js b/out/util/yarn.js
+index 1ee20f8b252a8f28d0c7b103789cf0a9a427aec1..c2878ec54d57da50bf14225e0c70c9c88664eb8a 100644
+--- a/out/util/yarn.js
++++ b/out/util/yarn.js
+@@ -140,6 +140,7 @@ async function rebuild(config, { appDir, projectDir }, options) {
+         arch,
+         platform,
+         buildFromSource,
++        ignoreModules: config.excludeReBuildModules || undefined,
+         projectRootPath: projectDir,
+         mode: config.nativeRebuilder || "sequential",
+         disablePreGypCopy: true,
+diff --git a/scheme.json b/scheme.json
+index 433e2efc9cef156ff5444f0c4520362ed2ef9ea7..0167441bf928a92f59b5dbe70b2317a74dda74c9 100644
+--- a/scheme.json
++++ b/scheme.json
+@@ -1825,6 +1825,20 @@
+             "string"
+           ]
+         },
++        "excludeReBuildModules": {
++          "anyOf": [
++            {
++              "items": {
++                "type": "string"
++              },
++              "type": "array"
++            },
++            {
++              "type": "null"
++            }
++          ],
++          "description": "The modules to exclude from the rebuild."
++        },
+         "executableArgs": {
+           "anyOf": [
+             {
+@@ -1975,6 +1989,13 @@
+           ],
+           "description": "The mime types in addition to specified in the file associations. Use it if you don't want to register a new mime type, but reuse existing."
+         },
++        "minimumSystemVersion": {
++          "description": "The minimum os kernel version required to install the application.",
++          "type": [
++            "null",
++            "string"
++          ]
++        },
+         "packageCategory": {
+           "description": "backward compatibility + to allow specify fpm-only category for all possible fpm targets in one place",
+           "type": [
+@@ -2327,6 +2348,13 @@
+     "MacConfiguration": {
+       "additionalProperties": false,
+       "properties": {
++        "LSMinimumSystemVersion": {
++          "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
++          "type": [
++            "null",
++            "string"
++          ]
++        },
+         "additionalArguments": {
+           "anyOf": [
+             {
+@@ -2527,6 +2555,20 @@
+             "string"
+           ]
+         },
++        "excludeReBuildModules": {
++          "anyOf": [
++            {
++              "items": {
++                "type": "string"
++              },
++              "type": "array"
++            },
++            {
++              "type": "null"
++            }
++          ],
++          "description": "The modules to exclude from the rebuild."
++        },
+         "executableName": {
+           "description": "The executable name. Defaults to `productName`.",
+           "type": [
+@@ -2737,7 +2779,7 @@
+           "type": "boolean"
+         },
+         "minimumSystemVersion": {
+-          "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
++          "description": "The minimum os kernel version required to install the application.",
+           "type": [
+             "null",
+             "string"
+@@ -2959,6 +3001,13 @@
+     "MasConfiguration": {
+       "additionalProperties": false,
+       "properties": {
++        "LSMinimumSystemVersion": {
++          "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
++          "type": [
++            "null",
++            "string"
++          ]
++        },
+         "additionalArguments": {
+           "anyOf": [
+             {
+@@ -3159,6 +3208,20 @@
+             "string"
+           ]
+         },
++        "excludeReBuildModules": {
++          "anyOf": [
++            {
++              "items": {
++                "type": "string"
++              },
++              "type": "array"
++            },
++            {
++              "type": "null"
++            }
++          ],
++          "description": "The modules to exclude from the rebuild."
++        },
+         "executableName": {
+           "description": "The executable name. Defaults to `productName`.",
+           "type": [
+@@ -3369,7 +3432,7 @@
+           "type": "boolean"
+         },
+         "minimumSystemVersion": {
+-          "description": "The minimum version of macOS required for the app to run. Corresponds to `LSMinimumSystemVersion`.",
++          "description": "The minimum os kernel version required to install the application.",
+           "type": [
+             "null",
+             "string"
+@@ -6381,6 +6444,20 @@
+             "string"
+           ]
+         },
++        "excludeReBuildModules": {
++          "anyOf": [
++            {
++              "items": {
++                "type": "string"
++              },
++              "type": "array"
++            },
++            {
++              "type": "null"
++            }
++          ],
++          "description": "The modules to exclude from the rebuild."
++        },
+         "executableName": {
+           "description": "The executable name. Defaults to `productName`.",
+           "type": [
+@@ -6507,6 +6584,13 @@
+             "string"
+           ]
+         },
++        "minimumSystemVersion": {
++          "description": "The minimum os kernel version required to install the application.",
++          "type": [
++            "null",
++            "string"
++          ]
++        },
+         "protocols": {
+           "anyOf": [
+             {
+@@ -7153,6 +7237,20 @@
+         "string"
+       ]
+     },
++    "excludeReBuildModules": {
++      "anyOf": [
++        {
++          "items": {
++            "type": "string"
++          },
++          "type": "array"
++        },
++        {
++          "type": "null"
++        }
++      ],
++      "description": "The modules to exclude from the rebuild."
++    },
+     "executableName": {
+       "description": "The executable name. Defaults to `productName`.",
+       "type": [
+@@ -7376,6 +7474,13 @@
+       ],
+       "description": "MAS (Mac Application Store) development options (`mas-dev` target)."
+     },
++    "minimumSystemVersion": {
++      "description": "The minimum os kernel version required to install the application.",
++      "type": [
++        "null",
++        "string"
++      ]
++    },
+     "msi": {
+       "anyOf": [
+         {

.yarn/patches/electron-updater-npm-6.7.0-47b11bb0d4.patch

@@ -1,14 +0,0 @@
-diff --git a/out/util.js b/out/util.js
-index 9294ffd6ca8f02c2e0f90c663e7e9cdc02c1ac37..f52107493e2995320ee4efd0eb2a8c9bf03291a2 100644
---- a/out/util.js
-+++ b/out/util.js
-@@ -23,7 +23,8 @@ function newUrlFromBase(pathname, baseUrl, addRandomQueryToAvoidCaching = false)
-         result.search = search;
-     }
-     else if (addRandomQueryToAvoidCaching) {
--        result.search = `noCache=${Date.now().toString(32)}`;
-+        // use no cache header instead
-+        // result.search = `noCache=${Date.now().toString(32)}`;
-     }
-     return result;
- }

CLAUDE.md

@@ -7,10 +7,11 @@ This file provides guidance to AI coding assistants when working with code in th
 - **Keep it clear**: Write code that is easy to read, maintain, and explain.
 - **Match the house style**: Reuse existing patterns, naming, and conventions.
 - **Search smart**: Prefer `ast-grep` for semantic queries; fall back to `rg`/`grep` when needed.
+- **Build with HeroUI**: Use HeroUI for every new UI component; never add `antd` or `styled-components`.
 - **Log centrally**: Route all logging through `loggerService` with the right context—no `console.log`.
 - **Research via subagent**: Lean on `subagent` for external docs, APIs, news, and references.
-- **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**: Commit small, focused changes using Conventional Commit messages (e.g., `feat:`, `fix:`, `refactor:`, `docs:`).
+- **Seek review**: Ask a human developer to review substantial changes before merging.
+- **Commit in rhythm**: Keep commits small, conventional, and emoji-tagged.
 
 ## Development Commands
 
@@ -39,6 +40,7 @@ This file provides guidance to AI coding assistants when working with code in th
 - **Services** (`src/main/services/`): MCPService, KnowledgeService, WindowService, etc.
 - **Build System**: Electron-Vite with experimental rolldown-vite, yarn workspaces.
 - **State Management**: Redux Toolkit (`src/renderer/src/store/`) for predictable state.
+- **UI Components**: HeroUI (`@heroui/*`) for all new UI elements.
 
 ### Logging
 ```typescript

CONTRIBUTING.md

@@ -65,28 +65,7 @@ The Test Plan aims to provide users with a more stable application experience an
 ### Other Suggestions
 
 - **Contact Developers**: Before submitting a PR, you can contact the developers first to discuss or get help.
-
-## Important Contribution Guidelines & Focus Areas
-
-Please review the following critical information before submitting your Pull Request:
-
-### Temporary Restriction on Data-Changing Feature PRs 🚫
-
-**Currently, we are NOT accepting feature Pull Requests that introduce changes to our Redux data models or IndexedDB schemas.**
-
-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/CherryHQ/cherry-studio/pull/10162).
-
-We highly encourage contributions for:
-*   Bug fixes 🐞
-*   Performance improvements 🚀
-*   Documentation updates 📚
-*   Features that **do not** alter Redux data models or IndexedDB schemas (e.g., UI enhancements, new components, minor refactors). ✨
-
-We appreciate your understanding and continued support during this important development phase. Thank you!
-
+- **Become a Core Developer**: If you contribute to the project consistently, congratulations, you can become a core developer and gain project membership status. Please check our [Membership Guide](https://github.com/CherryHQ/community/blob/main/docs/membership.en.md).
 
 ## Contact Us
 

README.md

@@ -37,7 +37,7 @@
 <p align="center">English | <a href="./docs/README.zh.md">中文</a> | <a href="https://cherry-ai.com">Official Site</a> | <a href="https://docs.cherry-ai.com/cherry-studio-wen-dang/en-us">Documents</a> | <a href="./docs/dev.md">Development</a> | <a href="https://github.com/CherryHQ/cherry-studio/issues">Feedback</a><br></p>
 
 <div align="center">
-
+  
 [![][deepwiki-shield]][deepwiki-link]
 [![][twitter-shield]][twitter-link]
 [![][discord-shield]][discord-link]
@@ -45,7 +45,7 @@
 
 </div>
 <div align="center">
-
+  
 [![][github-release-shield]][github-release-link]
 [![][github-nightly-shield]][github-nightly-link]
 [![][github-contributors-shield]][github-contributors-link]
@@ -82,7 +82,7 @@ Cherry Studio is a desktop client that supports multiple LLM providers, availabl
 1. **Diverse LLM Provider Support**:
 
 - ☁️ Major LLM Cloud Services: OpenAI, Gemini, Anthropic, and more
-- 🔗 AI Web Service Integration: Claude, Perplexity, [Poe](https://poe.com/), and others
+- 🔗 AI Web Service Integration: Claude, Perplexity, Poe, and others
 - 💻 Local Model Support with Ollama, LM Studio
 
 2. **AI Assistants & Conversations**:
@@ -238,16 +238,20 @@ The Enterprise Edition addresses core challenges in team collaboration by centra
 
 ## ✨ Online Demo
 
+> 🚧 **Public Beta Notice**
+>
+> The Enterprise Edition is currently in its early public beta stage, and we are actively iterating and optimizing its features. We are aware that it may not be perfectly stable yet. If you encounter any issues or have valuable suggestions during your trial, we would be very grateful if you could contact us via email to provide feedback.
+
 **🔗 [Cherry Studio Enterprise](https://www.cherry-ai.com/enterprise)**
 
 ## Version Comparison
 
 | Feature           | Community Edition                          | Enterprise Edition                                                                                                                      |
 | :---------------- | :----------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------------- |
-| **Open Source**   | ✅ Yes                                      | ⭕️ Partially released to customers                                                                                                       |
-| **Cost**          | [AGPL-3.0 License](https://github.com/CherryHQ/cherry-studio?tab=AGPL-3.0-1-ov-file) | Buyout / Subscription Fee                                                                                                               |
+| **Open Source**   | ✅ Yes                                     | ⭕️ Partially released to customers                                                                                                      |
+| **Cost**          | Free for Personal Use / Commercial License | Buyout / Subscription Fee                                                                                                               |
 | **Admin Backend** | —                                          | ● Centralized **Model** Access<br>● **Employee** Management<br>● Shared **Knowledge Base**<br>● **Access** Control<br>● **Data** Backup |
-| **Server**        | —                                          | ✅ Dedicated Private Deployment                                                                                                          |
+| **Server**        | —                                          | ✅ Dedicated Private Deployment                                                                                                         |
 
 ## Get the Enterprise Edition
 
@@ -258,12 +262,8 @@ We believe the Enterprise Edition will become your team's AI productivity engine
 
 # 🔗 Related Projects
 
-- [new-api](https://github.com/QuantumNous/new-api): The next-generation LLM gateway and AI asset management system supports multiple languages.
-
 - [one-api](https://github.com/songquanpeng/one-api): LLM API management and distribution system supporting mainstream models like OpenAI, Azure, and Anthropic. Features a unified API interface, suitable for key management and secondary distribution.
 
-- [Poe](https://poe.com/): Poe gives you access to the best AI, all in one place. Explore GPT-5, Claude Opus 4.1, DeepSeek-R1, Veo 3, ElevenLabs, and millions of others.
-
 - [ublacklist](https://github.com/iorate/ublacklist): Blocks specific sites from appearing in Google search results
 
 # 🚀 Contributors

app-upgrade-config.json

@@ -1,49 +0,0 @@
-{
-  "lastUpdated": "2025-11-10T08:14:28Z",
-  "versions": {
-    "1.6.7": {
-      "metadata": {
-        "segmentId": "legacy-v1",
-        "segmentType": "legacy"
-      },
-      "minCompatibleVersion": "1.0.0",
-      "description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
-      "channels": {
-        "latest": {
-          "version": "1.6.7",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.7",
-            "gitcode": "https://releases.cherry-ai.com"
-          }
-        },
-        "rc": {
-          "version": "1.6.0-rc.5",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5"
-          }
-        },
-        "beta": {
-          "version": "1.7.0-beta.3",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3"
-          }
-        }
-      }
-    },
-    "2.0.0": {
-      "metadata": {
-        "segmentId": "gateway-v2",
-        "segmentType": "breaking"
-      },
-      "minCompatibleVersion": "1.7.0",
-      "description": "Major release v2.0 - required intermediate version for v2.x upgrades",
-      "channels": {
-        "latest": null,
-        "rc": null,
-        "beta": null
-      }
-    }
-  }
-}

biome.jsonc

@@ -14,18 +14,14 @@
       }
     },
     "enabled": true,
-    "includes": ["**/*.json", "!*.json", "!**/package.json", "!coverage/**"]
+    "includes": ["**/*.json", "!*.json", "!**/package.json"]
   },
   "css": {
     "formatter": {
       "quoteStyle": "single"
     }
   },
-  "files": {
-    "ignoreUnknown": false,
-    "includes": ["**", "!**/.claude/**", "!**/.vscode/**"],
-    "maxSize": 2097152
-  },
+  "files": { "ignoreUnknown": false },
   "formatter": {
     "attributePosition": "auto",
     "bracketSameLine": false,

components.json

@@ -0,0 +1,21 @@
+{
+  "$schema": "https://ui.shadcn.com/schema.json",
+  "aliases": {
+    "components": "@renderer/ui/third-party",
+    "hooks": "@renderer/hooks",
+    "lib": "@renderer/lib",
+    "ui": "@renderer/ui",
+    "utils": "@renderer/utils"
+  },
+  "iconLibrary": "lucide",
+  "rsc": false,
+  "style": "new-york",
+  "tailwind": {
+    "baseColor": "zinc",
+    "config": "",
+    "css": "src/renderer/src/assets/styles/tailwind.css",
+    "cssVariables": true,
+    "prefix": ""
+  },
+  "tsx": true
+}

config/app-upgrade-segments.json

@@ -1,81 +0,0 @@
-{
-  "segments": [
-    {
-      "id": "legacy-v1",
-      "type": "legacy",
-      "match": {
-        "range": ">=1.0.0 <2.0.0"
-      },
-      "minCompatibleVersion": "1.0.0",
-      "description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
-      "channelTemplates": {
-        "latest": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://releases.cherry-ai.com"
-          }
-        },
-        "rc": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        },
-        "beta": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        }
-      }
-    },
-    {
-      "id": "gateway-v2",
-      "type": "breaking",
-      "match": {
-        "exact": ["2.0.0"]
-      },
-      "lockedVersion": "2.0.0",
-      "minCompatibleVersion": "1.7.0",
-      "description": "Major release v2.0 - required intermediate version for v2.x upgrades",
-      "channelTemplates": {
-        "latest": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        }
-      }
-    },
-    {
-      "id": "current-v2",
-      "type": "latest",
-      "match": {
-        "range": ">=2.0.0 <3.0.0",
-        "excludeExact": ["2.0.0"]
-      },
-      "minCompatibleVersion": "2.0.0",
-      "description": "Current latest v2.x release",
-      "channelTemplates": {
-        "latest": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        },
-        "rc": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        },
-        "beta": {
-          "feedTemplates": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/{{tag}}",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/{{tag}}"
-          }
-        }
-      }
-    }
-  ]
-}

docs/CONTRIBUTING.zh.md

@@ -69,28 +69,7 @@ git commit --signoff -m "Your commit message"
 ### 其他建议
 
 - **联系开发者**：在提交 PR 之前，您可以先和开发者进行联系，共同探讨或者获取帮助。
-
-## 重要贡献指南与关注点
-
-在提交 Pull Request 之前，请务必阅读以下关键信息：
-
-### 🚫 暂时限制涉及数据更改的功能性 PR
-
-**目前，我们不接受涉及 Redux 数据模型或 IndexedDB schema 变更的功能性 Pull Request。**
-
-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/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 🐞
-*   性能改进 🚀
-*   文档更新 📚
-*   不改变 Redux 数据模型或 IndexedDB schema 的功能（例如，UI 增强、新组件、小型重构）。✨
-
-感谢您在此重要开发阶段的理解与持续支持。谢谢！
-
+- **成为核心开发者**：如果您能够稳定为项目贡献，恭喜您可以成为项目核心开发者，获取到项目成员身份。请查看我们的[成员指南](https://github.com/CherryHQ/community/blob/main/membership.md)
 
 ## 联系我们
 

docs/dev.md

@@ -18,13 +18,13 @@ yarn
 
 ### Setup Node.js
 
-Download and install [Node.js v22.x.x](https://nodejs.org/en/download)
+Download and install [Node.js v20.x.x](https://nodejs.org/en/download)
 
 ### Setup Yarn
 
 ```bash
 corepack enable
-corepack prepare yarn@4.9.1 --activate
+corepack prepare yarn@4.6.0 --activate
 ```
 
 ### Install Dependencies

docs/technical/app-upgrade-config-en.md

@@ -1,430 +0,0 @@
-# Update Configuration System Design Document
-
-## Background
-
-Currently, AppUpdater directly queries the GitHub API to retrieve beta and rc update information. To support users in China, we need to fetch a static JSON configuration file from GitHub/GitCode based on IP geolocation, which contains update URLs for all channels.
-
-## Design Goals
-
-1. Support different configuration sources based on IP geolocation (GitHub/GitCode)
-2. Support version compatibility control (e.g., users below v1.x must upgrade to v1.7.0 before upgrading to v2.0)
-3. Easy to extend, supporting future multi-major-version upgrade paths (v1.6 → v1.7 → v2.0 → v2.8 → v3.0)
-4. Maintain compatibility with existing electron-updater mechanism
-
-## Current Version Strategy
-
-- **v1.7.x** is the last version of the 1.x series
-- Users **below v1.7.0** must first upgrade to v1.7.0 (or higher 1.7.x version)
-- Users **v1.7.0 and above** can directly upgrade to v2.x.x
-
-## Automation Workflow
-
-The `x-files/app-upgrade-config/app-upgrade-config.json` file is synchronized by the [`Update App Upgrade Config`](../../.github/workflows/update-app-upgrade-config.yml) workflow. The workflow runs the [`scripts/update-app-upgrade-config.ts`](../../scripts/update-app-upgrade-config.ts) helper so that every release tag automatically updates the JSON in `x-files/app-upgrade-config`.
-
-### Trigger Conditions
-
-- **Release events (`release: released/prereleased`)**  
-  - Draft releases are ignored.  
-  - When GitHub marks the release as _prerelease_, the tag must include `-beta`/`-rc` (with optional numeric suffix). Otherwise the workflow exits early.  
-  - When GitHub marks the release as stable, the tag must match the latest release returned by the GitHub API. This prevents out-of-order updates when publishing historical tags.  
-  - If the guard clauses pass, the version is tagged as `latest` or `beta/rc` based on its semantic suffix and propagated to the script through the `IS_PRERELEASE` flag.
-- **Manual dispatch (`workflow_dispatch`)**  
-  - Required input: `tag` (e.g., `v2.0.1`). Optional input: `is_prerelease` (defaults to `false`).  
-  - When `is_prerelease=true`, the tag must carry a beta/rc suffix, mirroring the automatic validation.  
-  - Manual runs still download the latest release metadata so that the workflow knows whether the tag represents the newest stable version (for documentation inside the PR body).
-
-### Workflow Steps
-
-1. **Guard + metadata preparation** – the `Check if should proceed` and `Prepare metadata` steps compute the target tag, prerelease flag, whether the tag is the newest release, and a `safe_tag` slug used for branch names. When any rule fails, the workflow stops without touching the config.
-2. **Checkout source branches** – the default branch is checked out into `main/`, while the long-lived `x-files/app-upgrade-config` branch lives in `cs/`. All modifications happen in the latter directory.
-3. **Install toolchain** – Node.js 22, Corepack, and frozen Yarn dependencies are installed inside `main/`.
-4. **Run the update script** – `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json --is-prerelease <flag>` updates the JSON in-place.  
-   - The script normalizes the tag (e.g., strips `v` prefix), detects the release channel (`latest`, `rc`, `beta`), and loads segment rules from `config/app-upgrade-segments.json`.  
-   - It validates that prerelease flags and semantic suffixes agree, enforces locked segments, builds mirror feed URLs, and performs release-availability checks (GitHub HEAD request for every channel; GitCode GET for latest channels, falling back to `https://releases.cherry-ai.com` when gitcode is delayed).  
-   - After updating the relevant channel entry, the script rewrites the config with semver-sort order and a new `lastUpdated` timestamp.
-5. **Detect changes + create PR** – if `cs/app-upgrade-config.json` changed, the workflow opens a PR `chore/update-app-upgrade-config/<safe_tag>` against `x-files/app-upgrade-config` with a commit message `🤖 chore: sync app-upgrade-config for <tag>`. Otherwise it logs that no update is required.
-
-### Manual Trigger Guide
-
-1. Open the Cherry Studio repository on GitHub → **Actions** tab → select **Update App Upgrade Config**.
-2. Click **Run workflow**, choose the default branch (usually `main`), and fill in the `tag` input (e.g., `v2.1.0`).  
-3. Toggle `is_prerelease` only when the tag carries a prerelease suffix (`-beta`, `-rc`). Leave it unchecked for stable releases.  
-4. Start the run and wait for it to finish. Check the generated PR in the `x-files/app-upgrade-config` branch, verify the diff in `app-upgrade-config.json`, and merge once validated.
-
-## JSON Configuration File Format
-
-### File Location
-
-- **GitHub**: `https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json`
-- **GitCode**: `https://gitcode.com/CherryHQ/cherry-studio/raw/x-files/app-upgrade-config/app-upgrade-config.json`
-
-**Note**: Both mirrors provide the same configuration file hosted on the `x-files/app-upgrade-config` branch. The client automatically selects the optimal mirror based on IP geolocation.
-
-### Configuration Structure (Current Implementation)
-
-```json
-{
-  "lastUpdated": "2025-01-05T00:00:00Z",
-  "versions": {
-    "1.6.7": {
-      "minCompatibleVersion": "1.0.0",
-      "description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
-      "channels": {
-        "latest": {
-          "version": "1.6.7",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.7",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v1.6.7"
-          }
-        },
-        "rc": {
-          "version": "1.6.0-rc.5",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5"
-          }
-        },
-        "beta": {
-          "version": "1.6.7-beta.3",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3"
-          }
-        }
-      }
-    },
-    "2.0.0": {
-      "minCompatibleVersion": "1.7.0",
-      "description": "Major release v2.0 - required intermediate version for v2.x upgrades",
-      "channels": {
-        "latest": null,
-        "rc": null,
-        "beta": null
-      }
-    }
-  }
-}
-```
-
-### Future Extension Example
-
-When releasing v3.0, if users need to first upgrade to v2.8, you can add:
-
-```json
-{
-  "2.8.0": {
-    "minCompatibleVersion": "2.0.0",
-    "description": "Stable v2.8 - required for v3 upgrade",
-    "channels": {
-      "latest": {
-        "version": "2.8.0",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v2.8.0",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v2.8.0"
-        }
-      },
-      "rc": null,
-      "beta": null
-    }
-  },
-  "3.0.0": {
-    "minCompatibleVersion": "2.8.0",
-    "description": "Major release v3.0",
-    "channels": {
-      "latest": {
-        "version": "3.0.0",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/latest",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/latest"
-        }
-      },
-      "rc": {
-        "version": "3.0.0-rc.1",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1"
-        }
-      },
-      "beta": null
-    }
-  }
-}
-```
-
-### Field Descriptions
-
-- `lastUpdated`: Last update time of the configuration file (ISO 8601 format)
-- `versions`: Version configuration object, key is the version number, sorted by semantic versioning
-  - `minCompatibleVersion`: Minimum compatible version that can upgrade to this version
-  - `description`: Version description
-  - `channels`: Update channel configuration
-    - `latest`: Stable release channel
-    - `rc`: Release Candidate channel
-    - `beta`: Beta testing channel
-    - Each channel contains:
-      - `version`: Version number for this channel
-      - `feedUrls`: Multi-mirror URL configuration
-        - `github`: electron-updater feed URL for GitHub mirror
-        - `gitcode`: electron-updater feed URL for GitCode mirror
-  - `metadata`: Stable mapping info for automation
-    - `segmentId`: ID from `config/app-upgrade-segments.json`
-    - `segmentType`: Optional flag (`legacy` | `breaking` | `latest`) for documentation/debugging
-
-## TypeScript Type Definitions
-
-```typescript
-// Mirror enum
-enum UpdateMirror {
-  GITHUB = 'github',
-  GITCODE = 'gitcode'
-}
-
-interface UpdateConfig {
-  lastUpdated: string
-  versions: {
-    [versionKey: string]: VersionConfig
-  }
-}
-
-interface VersionConfig {
-  minCompatibleVersion: string
-  description: string
-  channels: {
-    latest: ChannelConfig | null
-    rc: ChannelConfig | null
-    beta: ChannelConfig | null
-  }
-  metadata?: {
-    segmentId: string
-    segmentType?: 'legacy' | 'breaking' | 'latest'
-  }
-}
-
-interface ChannelConfig {
-  version: string
-  feedUrls: Record<UpdateMirror, string>
-  // Equivalent to:
-  // feedUrls: {
-  //   github: string
-  //   gitcode: string
-  // }
-}
-```
-
-## Segment Metadata & Breaking Markers
-
-- **Segment definitions** now live in `config/app-upgrade-segments.json`. Each segment describes a semantic-version range (or exact matches) plus metadata such as `segmentId`, `segmentType`, `minCompatibleVersion`, and per-channel feed URL templates.
-- Each entry under `versions` carries a `metadata.segmentId`. This acts as the stable key that scripts use to decide which slot to update, even if the actual semantic version string changes.
-- Mark major upgrade gateways (e.g., `2.0.0`) by giving the related segment a `segmentType: "breaking"` and (optionally) `lockedVersion`. This prevents automation from accidentally moving that entry when other 2.x builds ship.
-- Adding another breaking hop (e.g., `3.0.0`) only requires defining a new segment in the JSON file; the automation will pick it up on the next run.
-
-## Automation Workflow
-
-Starting from this change, `.github/workflows/update-app-upgrade-config.yml` listens to GitHub release events (published + prerelease). The workflow:
-
-1. Checks out the default branch (for scripts) and the `x-files/app-upgrade-config` branch (where the config is hosted).
-2. Runs `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json` to regenerate the config directly inside the `x-files/app-upgrade-config` working tree.
-3. If the file changed, it opens a PR against `x-files/app-upgrade-config` via `peter-evans/create-pull-request`, with the generated diff limited to `app-upgrade-config.json`.
-
-You can run the same script locally via `yarn update:upgrade-config --tag v2.1.6 --config ../cs/app-upgrade-config.json` (add `--dry-run` to preview) to reproduce or debug whatever the workflow does. Passing `--skip-release-checks` along with `--dry-run` lets you bypass the release-page existence check (useful when the GitHub/GitCode pages aren’t published yet). Running without `--config` continues to update the copy in your current working directory (main branch) for documentation purposes.
-
-## Version Matching Logic
-
-### Algorithm Flow
-
-1. Get user's current version (`currentVersion`) and requested channel (`requestedChannel`)
-2. Get all version numbers from configuration file, sort in descending order by semantic versioning
-3. Iterate through the sorted version list:
-   - Check if `currentVersion >= minCompatibleVersion`
-   - Check if the requested `channel` exists and is not `null`
-   - If conditions are met, return the channel configuration
-4. If no matching version is found, return `null`
-
-### Pseudocode Implementation
-
-```typescript
-function findCompatibleVersion(
-  currentVersion: string,
-  requestedChannel: UpgradeChannel,
-  config: UpdateConfig
-): ChannelConfig | null {
-  // Get all version numbers and sort in descending order
-  const versions = Object.keys(config.versions).sort(semver.rcompare)
-
-  for (const versionKey of versions) {
-    const versionConfig = config.versions[versionKey]
-    const channelConfig = versionConfig.channels[requestedChannel]
-
-    // Check version compatibility and channel availability
-    if (
-      semver.gte(currentVersion, versionConfig.minCompatibleVersion) &&
-      channelConfig !== null
-    ) {
-      return channelConfig
-    }
-  }
-
-  return null // No compatible version found
-}
-```
-
-## Upgrade Path Examples
-
-### Scenario 1: v1.6.5 User Upgrade (Below 1.7)
-
-- **Current Version**: 1.6.5
-- **Requested Channel**: latest
-- **Match Result**: 1.7.0
-- **Reason**: 1.6.5 >= 0.0.0 (satisfies 1.7.0's minCompatibleVersion), but doesn't satisfy 2.0.0's minCompatibleVersion (1.7.0)
-- **Action**: Prompt user to upgrade to 1.7.0, which is the required intermediate version for v2.x upgrade
-
-### Scenario 2: v1.6.5 User Requests rc/beta
-
-- **Current Version**: 1.6.5
-- **Requested Channel**: rc or beta
-- **Match Result**: 1.7.0 (latest)
-- **Reason**: 1.7.0 version doesn't provide rc/beta channels (values are null)
-- **Action**: Upgrade to 1.7.0 stable version
-
-### Scenario 3: v1.7.0 User Upgrades to Latest
-
-- **Current Version**: 1.7.0
-- **Requested Channel**: latest
-- **Match Result**: 2.0.0
-- **Reason**: 1.7.0 >= 1.7.0 (satisfies 2.0.0's minCompatibleVersion)
-- **Action**: Directly upgrade to 2.0.0 (current latest stable version)
-
-### Scenario 4: v1.7.2 User Upgrades to RC Version
-
-- **Current Version**: 1.7.2
-- **Requested Channel**: rc
-- **Match Result**: 2.0.0-rc.1
-- **Reason**: 1.7.2 >= 1.7.0 (satisfies 2.0.0's minCompatibleVersion), and rc channel exists
-- **Action**: Upgrade to 2.0.0-rc.1
-
-### Scenario 5: v1.7.0 User Upgrades to Beta Version
-
-- **Current Version**: 1.7.0
-- **Requested Channel**: beta
-- **Match Result**: 2.0.0-beta.1
-- **Reason**: 1.7.0 >= 1.7.0, and beta channel exists
-- **Action**: Upgrade to 2.0.0-beta.1
-
-### Scenario 6: v2.5.0 User Upgrade (Future)
-
-Assuming v2.8.0 and v3.0.0 configurations have been added:
-- **Current Version**: 2.5.0
-- **Requested Channel**: latest
-- **Match Result**: 2.8.0
-- **Reason**: 2.5.0 >= 2.0.0 (satisfies 2.8.0's minCompatibleVersion), but doesn't satisfy 3.0.0's requirement
-- **Action**: Prompt user to upgrade to 2.8.0, which is the required intermediate version for v3.x upgrade
-
-## Code Changes
-
-### Main Modifications
-
-1. **New Methods**
-   - `_fetchUpdateConfig(ipCountry: string): Promise<UpdateConfig | null>` - Fetch configuration file based on IP
-   - `_findCompatibleChannel(currentVersion: string, channel: UpgradeChannel, config: UpdateConfig): ChannelConfig | null` - Find compatible channel configuration
-
-2. **Modified Methods**
-   - `_getReleaseVersionFromGithub()` → Remove or refactor to `_getChannelFeedUrl()`
-   - `_setFeedUrl()` - Use new configuration system to replace existing logic
-
-3. **New Type Definitions**
-   - `UpdateConfig`
-   - `VersionConfig`
-   - `ChannelConfig`
-
-### Mirror Selection Logic
-
-The client automatically selects the optimal mirror based on IP geolocation:
-
-```typescript
-private async _setFeedUrl() {
-  const currentVersion = app.getVersion()
-  const testPlan = configManager.getTestPlan()
-  const requestedChannel = testPlan ? this._getTestChannel() : UpgradeChannel.LATEST
-
-  // Determine mirror based on IP country
-  const ipCountry = await getIpCountry()
-  const mirror = ipCountry.toLowerCase() === 'cn' ? 'gitcode' : 'github'
-
-  // Fetch update config
-  const config = await this._fetchUpdateConfig(mirror)
-
-  if (config) {
-    const channelConfig = this._findCompatibleChannel(currentVersion, requestedChannel, config)
-    if (channelConfig) {
-      // Select feed URL from the corresponding mirror
-      const feedUrl = channelConfig.feedUrls[mirror]
-      this._setChannel(requestedChannel, feedUrl)
-      return
-    }
-  }
-
-  // Fallback logic
-  const defaultFeedUrl = mirror === 'gitcode'
-    ? FeedUrl.PRODUCTION
-    : FeedUrl.GITHUB_LATEST
-  this._setChannel(UpgradeChannel.LATEST, defaultFeedUrl)
-}
-
-private async _fetchUpdateConfig(mirror: 'github' | 'gitcode'): Promise<UpdateConfig | null> {
-  const configUrl = mirror === 'gitcode'
-    ? UpdateConfigUrl.GITCODE
-    : UpdateConfigUrl.GITHUB
-
-  try {
-    const response = await net.fetch(configUrl, {
-      headers: {
-        'User-Agent': generateUserAgent(),
-        'Accept': 'application/json',
-        'X-Client-Id': configManager.getClientId()
-      }
-    })
-    return await response.json() as UpdateConfig
-  } catch (error) {
-    logger.error('Failed to fetch update config:', error)
-    return null
-  }
-}
-```
-
-## Fallback and Error Handling Strategy
-
-1. **Configuration file fetch failure**: Log error, return current version, don't offer updates
-2. **No matching version**: Notify user that current version doesn't support automatic upgrade
-3. **Network exception**: Cache last successfully fetched configuration (optional)
-
-## GitHub Release Requirements
-
-To support intermediate version upgrades, the following files need to be retained:
-
-- **v1.7.0 release** and its latest*.yml files (as upgrade target for users below v1.7)
-- Future intermediate versions (e.g., v2.8.0) need to retain corresponding release and latest*.yml files
-- Complete installation packages for each version
-
-### Currently Required Releases
-
-| Version | Purpose | Must Retain |
-|---------|---------|-------------|
-| v1.7.0 | Upgrade target for users below 1.7 | ✅ Yes |
-| v2.0.0-rc.1 | RC testing channel | ❌ Optional |
-| v2.0.0-beta.1 | Beta testing channel | ❌ Optional |
-| latest | Latest stable version (automatic) | ✅ Yes |
-
-## Advantages
-
-1. **Flexibility**: Supports arbitrarily complex upgrade paths
-2. **Extensibility**: Adding new versions only requires adding new entries to the configuration file
-3. **Maintainability**: Configuration is separated from code, allowing upgrade strategy adjustments without releasing new versions
-4. **Multi-source support**: Automatically selects optimal configuration source based on geolocation
-5. **Version control**: Enforces intermediate version upgrades, ensuring data migration and compatibility
-
-## Future Extensions
-
-- Support more granular version range control (e.g., `>=1.5.0 <1.8.0`)
-- Support multi-step upgrade path hints (e.g., notify user needs 1.5 → 1.8 → 2.0)
-- Support A/B testing and gradual rollout
-- Support local caching and expiration strategy for configuration files

docs/technical/app-upgrade-config-zh.md

@@ -1,430 +0,0 @@
-# 更新配置系统设计文档
-
-## 背景
-
-当前 AppUpdater 直接请求 GitHub API 获取 beta 和 rc 的更新信息。为了支持国内用户，需要根据 IP 地理位置，分别从 GitHub/GitCode 获取一个固定的 JSON 配置文件，该文件包含所有渠道的更新地址。
-
-## 设计目标
-
-1. 支持根据 IP 地理位置选择不同的配置源（GitHub/GitCode）
-2. 支持版本兼容性控制（如 v1.x 以下必须先升级到 v1.7.0 才能升级到 v2.0）
-3. 易于扩展，支持未来多个主版本的升级路径（v1.6 → v1.7 → v2.0 → v2.8 → v3.0）
-4. 保持与现有 electron-updater 机制的兼容性
-
-## 当前版本策略
-
-- **v1.7.x** 是 1.x 系列的最后版本
-- **v1.7.0 以下**的用户必须先升级到 v1.7.0（或更高的 1.7.x 版本）
-- **v1.7.0 及以上**的用户可以直接升级到 v2.x.x
-
-## 自动化工作流
-
-`x-files/app-upgrade-config/app-upgrade-config.json` 由 [`Update App Upgrade Config`](../../.github/workflows/update-app-upgrade-config.yml) workflow 自动同步。工作流会调用 [`scripts/update-app-upgrade-config.ts`](../../scripts/update-app-upgrade-config.ts) 脚本，根据指定 tag 更新 `x-files/app-upgrade-config` 分支上的配置文件。
-
-### 触发条件
-
-- **Release 事件（`release: released/prereleased`）**  
-  - Draft release 会被忽略。  
-  - 当 GitHub 将 release 标记为 *prerelease* 时，tag 必须包含 `-beta`/`-rc`（可带序号），否则直接跳过。  
-  - 当 release 标记为稳定版时，tag 必须与 GitHub API 返回的最新稳定版本一致，防止发布历史 tag 时意外挂起工作流。  
-  - 满足上述条件后，工作流会根据语义化版本判断渠道（`latest`/`beta`/`rc`），并通过 `IS_PRERELEASE` 传递给脚本。
-- **手动触发（`workflow_dispatch`）**  
-  - 必填：`tag`（例：`v2.0.1`）；选填：`is_prerelease`（默认 `false`）。  
-  - 当 `is_prerelease=true` 时，同样要求 tag 带有 beta/rc 后缀。  
-  - 手动运行仍会请求 GitHub 最新 release 信息，用于在 PR 说明中标注该 tag 是否是最新稳定版。
-
-### 工作流步骤
-
-1. **检查与元数据准备**：`Check if should proceed` 和 `Prepare metadata` 步骤会计算 tag、prerelease 标志、是否最新版本以及用于分支名的 `safe_tag`。若任意校验失败，工作流立即退出。
-2. **检出分支**：默认分支被检出到 `main/`，长期维护的 `x-files/app-upgrade-config` 分支则在 `cs/` 中，所有改动都发生在 `cs/`。
-3. **安装工具链**：安装 Node.js 22、启用 Corepack，并在 `main/` 目录执行 `yarn install --immutable`。
-4. **运行更新脚本**：执行 `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json --is-prerelease <flag>`。  
-   - 脚本会标准化 tag（去掉 `v` 前缀等）、识别渠道、加载 `config/app-upgrade-segments.json` 中的分段规则。  
-   - 校验 prerelease 标志与语义后缀是否匹配、强制锁定的 segment 是否满足、生成镜像的下载地址，并检查 release 是否已经在 GitHub/GitCode 可用（latest 渠道在 GitCode 不可用时会回退到 `https://releases.cherry-ai.com`）。  
-   - 更新对应的渠道配置后，脚本会按 semver 排序写回 JSON，并刷新 `lastUpdated`。
-5. **检测变更并创建 PR**：若 `cs/app-upgrade-config.json` 有变更，则创建 `chore/update-app-upgrade-config/<safe_tag>` 分支，提交信息为 `🤖 chore: sync app-upgrade-config for <tag>`，并向 `x-files/app-upgrade-config` 提 PR；无变更则输出提示。
-
-### 手动触发指南
-
-1. 进入 Cherry Studio 仓库的 GitHub **Actions** 页面，选择 **Update App Upgrade Config** 工作流。
-2. 点击 **Run workflow**，保持默认分支（通常为 `main`），填写 `tag`（如 `v2.1.0`）。  
-3. 只有在 tag 带 `-beta`/`-rc` 后缀时才勾选 `is_prerelease`，稳定版保持默认。  
-4. 启动运行并等待完成，随后到 `x-files/app-upgrade-config` 分支的 PR 查看 `app-upgrade-config.json` 的变更并在验证后合并。
-
-## JSON 配置文件格式
-
-### 文件位置
-
-- **GitHub**: `https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json`
-- **GitCode**: `https://gitcode.com/CherryHQ/cherry-studio/raw/x-files/app-upgrade-config/app-upgrade-config.json`
-
-**说明**：两个镜像源提供相同的配置文件，统一托管在 `x-files/app-upgrade-config` 分支上。客户端根据 IP 地理位置自动选择最优镜像源。
-
-### 配置结构（当前实际配置）
-
-```json
-{
-  "lastUpdated": "2025-01-05T00:00:00Z",
-  "versions": {
-    "1.6.7": {
-      "minCompatibleVersion": "1.0.0",
-      "description": "Last stable v1.7.x release - required intermediate version for users below v1.7",
-      "channels": {
-        "latest": {
-          "version": "1.6.7",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.7",
-            "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v1.6.7"
-          }
-        },
-        "rc": {
-          "version": "1.6.0-rc.5",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.6.0-rc.5"
-          }
-        },
-        "beta": {
-          "version": "1.6.7-beta.3",
-          "feedUrls": {
-            "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3",
-            "gitcode": "https://github.com/CherryHQ/cherry-studio/releases/download/v1.7.0-beta.3"
-          }
-        }
-      }
-    },
-    "2.0.0": {
-      "minCompatibleVersion": "1.7.0",
-      "description": "Major release v2.0 - required intermediate version for v2.x upgrades",
-      "channels": {
-        "latest": null,
-        "rc": null,
-        "beta": null
-      }
-    }
-  }
-}
-```
-
-### 未来扩展示例
-
-当需要发布 v3.0 时，如果需要强制用户先升级到 v2.8，可以添加：
-
-```json
-{
-  "2.8.0": {
-    "minCompatibleVersion": "2.0.0",
-    "description": "Stable v2.8 - required for v3 upgrade",
-    "channels": {
-      "latest": {
-        "version": "2.8.0",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v2.8.0",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v2.8.0"
-        }
-      },
-      "rc": null,
-      "beta": null
-    }
-  },
-  "3.0.0": {
-    "minCompatibleVersion": "2.8.0",
-    "description": "Major release v3.0",
-    "channels": {
-      "latest": {
-        "version": "3.0.0",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/latest",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/latest"
-        }
-      },
-      "rc": {
-        "version": "3.0.0-rc.1",
-        "feedUrls": {
-          "github": "https://github.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1",
-          "gitcode": "https://gitcode.com/CherryHQ/cherry-studio/releases/download/v3.0.0-rc.1"
-        }
-      },
-      "beta": null
-    }
-  }
-}
-```
-
-### 字段说明
-
-- `lastUpdated`: 配置文件最后更新时间（ISO 8601 格式）
-- `versions`: 版本配置对象，key 为版本号，按语义化版本排序
-  - `minCompatibleVersion`: 可以升级到此版本的最低兼容版本
-  - `description`: 版本描述
-  - `channels`: 更新渠道配置
-    - `latest`: 稳定版渠道
-    - `rc`: Release Candidate 渠道
-    - `beta`: Beta 测试渠道
-    - 每个渠道包含：
-      - `version`: 该渠道的版本号
-      - `feedUrls`: 多镜像源 URL 配置
-        - `github`: GitHub 镜像源的 electron-updater feed URL
-        - `gitcode`: GitCode 镜像源的 electron-updater feed URL
-  - `metadata`: 自动化匹配所需的稳定标识
-    - `segmentId`: 来自 `config/app-upgrade-segments.json` 的段位 ID
-    - `segmentType`: 可选字段（`legacy` | `breaking` | `latest`），便于文档/调试
-
-## TypeScript 类型定义
-
-```typescript
-// 镜像源枚举
-enum UpdateMirror {
-  GITHUB = 'github',
-  GITCODE = 'gitcode'
-}
-
-interface UpdateConfig {
-  lastUpdated: string
-  versions: {
-    [versionKey: string]: VersionConfig
-  }
-}
-
-interface VersionConfig {
-  minCompatibleVersion: string
-  description: string
-  channels: {
-    latest: ChannelConfig | null
-    rc: ChannelConfig | null
-    beta: ChannelConfig | null
-  }
-  metadata?: {
-    segmentId: string
-    segmentType?: 'legacy' | 'breaking' | 'latest'
-  }
-}
-
-interface ChannelConfig {
-  version: string
-  feedUrls: Record<UpdateMirror, string>
-  // 等同于:
-  // feedUrls: {
-  //   github: string
-  //   gitcode: string
-  // }
-}
-```
-
-## 段位元数据（Break Change 标记）
-
-- 所有段位定义（如 `legacy-v1`、`gateway-v2` 等）集中在 `config/app-upgrade-segments.json`，用于描述匹配范围、`segmentId`、`segmentType`、默认 `minCompatibleVersion/description` 以及各渠道的 URL 模板。
-- `versions` 下的每个节点都会带上 `metadata.segmentId`。自动脚本始终依据该 ID 来定位并更新条目，即便 key 从 `2.1.5` 切换到 `2.1.6` 也不会错位。
-- 如果某段需要锁死在特定版本（例如 `2.0.0` 的 break change），可在段定义中设置 `segmentType: "breaking"` 并提供 `lockedVersion`，脚本在遇到不匹配的 tag 时会短路报错，保证升级路径安全。
-- 面对未来新的断层（例如 `3.0.0`），只需要在段定义里新增一段，自动化即可识别并更新。
-
-## 自动化工作流
-
-`.github/workflows/update-app-upgrade-config.yml` 会在 GitHub Release（包含正常发布与 Pre Release）触发：
-
-1. 同时 Checkout 仓库默认分支（用于脚本）和 `x-files/app-upgrade-config` 分支（真实托管配置的分支）。
-2. 在默认分支目录执行 `yarn tsx scripts/update-app-upgrade-config.ts --tag <tag> --config ../cs/app-upgrade-config.json`，直接重写 `x-files/app-upgrade-config` 分支里的配置文件。
-3. 如果 `app-upgrade-config.json` 有变化，则通过 `peter-evans/create-pull-request` 自动创建一个指向 `x-files/app-upgrade-config` 的 PR，Diff 仅包含该文件。
-
-如需本地调试，可执行 `yarn update:upgrade-config --tag v2.1.6 --config ../cs/app-upgrade-config.json`（加 `--dry-run` 仅打印结果）来复现 CI 行为。若需要暂时跳过 GitHub/GitCode Release 页面是否就绪的校验，可在 `--dry-run` 的同时附加 `--skip-release-checks`。不加 `--config` 时默认更新当前工作目录（通常是 main 分支）下的副本，方便文档/审查。
-
-## 版本匹配逻辑
-
-### 算法流程
-
-1. 获取用户当前版本（`currentVersion`）和请求的渠道（`requestedChannel`）
-2. 获取配置文件中所有版本号，按语义化版本从大到小排序
-3. 遍历排序后的版本列表：
-   - 检查 `currentVersion >= minCompatibleVersion`
-   - 检查请求的 `channel` 是否存在且不为 `null`
-   - 如果满足条件，返回该渠道配置
-4. 如果没有找到匹配版本，返回 `null`
-
-### 伪代码实现
-
-```typescript
-function findCompatibleVersion(
-  currentVersion: string,
-  requestedChannel: UpgradeChannel,
-  config: UpdateConfig
-): ChannelConfig | null {
-  // 获取所有版本号并从大到小排序
-  const versions = Object.keys(config.versions).sort(semver.rcompare)
-
-  for (const versionKey of versions) {
-    const versionConfig = config.versions[versionKey]
-    const channelConfig = versionConfig.channels[requestedChannel]
-
-    // 检查版本兼容性和渠道可用性
-    if (
-      semver.gte(currentVersion, versionConfig.minCompatibleVersion) &&
-      channelConfig !== null
-    ) {
-      return channelConfig
-    }
-  }
-
-  return null // 没有找到兼容版本
-}
-```
-
-## 升级路径示例
-
-### 场景 1: v1.6.5 用户升级（低于 1.7）
-
-- **当前版本**: 1.6.5
-- **请求渠道**: latest
-- **匹配结果**: 1.7.0
-- **原因**: 1.6.5 >= 0.0.0（满足 1.7.0 的 minCompatibleVersion），但不满足 2.0.0 的 minCompatibleVersion (1.7.0)
-- **操作**: 提示用户升级到 1.7.0，这是升级到 v2.x 的必要中间版本
-
-### 场景 2: v1.6.5 用户请求 rc/beta
-
-- **当前版本**: 1.6.5
-- **请求渠道**: rc 或 beta
-- **匹配结果**: 1.7.0 (latest)
-- **原因**: 1.7.0 版本不提供 rc/beta 渠道（值为 null）
-- **操作**: 升级到 1.7.0 稳定版
-
-### 场景 3: v1.7.0 用户升级到最新版
-
-- **当前版本**: 1.7.0
-- **请求渠道**: latest
-- **匹配结果**: 2.0.0
-- **原因**: 1.7.0 >= 1.7.0（满足 2.0.0 的 minCompatibleVersion）
-- **操作**: 直接升级到 2.0.0（当前最新稳定版）
-
-### 场景 4: v1.7.2 用户升级到 RC 版本
-
-- **当前版本**: 1.7.2
-- **请求渠道**: rc
-- **匹配结果**: 2.0.0-rc.1
-- **原因**: 1.7.2 >= 1.7.0（满足 2.0.0 的 minCompatibleVersion），且 rc 渠道存在
-- **操作**: 升级到 2.0.0-rc.1
-
-### 场景 5: v1.7.0 用户升级到 Beta 版本
-
-- **当前版本**: 1.7.0
-- **请求渠道**: beta
-- **匹配结果**: 2.0.0-beta.1
-- **原因**: 1.7.0 >= 1.7.0，且 beta 渠道存在
-- **操作**: 升级到 2.0.0-beta.1
-
-### 场景 6: v2.5.0 用户升级（未来）
-
-假设已添加 v2.8.0 和 v3.0.0 配置：
-- **当前版本**: 2.5.0
-- **请求渠道**: latest
-- **匹配结果**: 2.8.0
-- **原因**: 2.5.0 >= 2.0.0（满足 2.8.0 的 minCompatibleVersion），但不满足 3.0.0 的要求
-- **操作**: 提示用户升级到 2.8.0，这是升级到 v3.x 的必要中间版本
-
-## 代码改动计划
-
-### 主要修改
-
-1. **新增方法**
-   - `_fetchUpdateConfig(ipCountry: string): Promise<UpdateConfig | null>` - 根据 IP 获取配置文件
-   - `_findCompatibleChannel(currentVersion: string, channel: UpgradeChannel, config: UpdateConfig): ChannelConfig | null` - 查找兼容的渠道配置
-
-2. **修改方法**
-   - `_getReleaseVersionFromGithub()` → 移除或重构为 `_getChannelFeedUrl()`
-   - `_setFeedUrl()` - 使用新的配置系统替代现有逻辑
-
-3. **新增类型定义**
-   - `UpdateConfig`
-   - `VersionConfig`
-   - `ChannelConfig`
-
-### 镜像源选择逻辑
-
-客户端根据 IP 地理位置自动选择最优镜像源：
-
-```typescript
-private async _setFeedUrl() {
-  const currentVersion = app.getVersion()
-  const testPlan = configManager.getTestPlan()
-  const requestedChannel = testPlan ? this._getTestChannel() : UpgradeChannel.LATEST
-
-  // 根据 IP 国家确定镜像源
-  const ipCountry = await getIpCountry()
-  const mirror = ipCountry.toLowerCase() === 'cn' ? 'gitcode' : 'github'
-
-  // 获取更新配置
-  const config = await this._fetchUpdateConfig(mirror)
-
-  if (config) {
-    const channelConfig = this._findCompatibleChannel(currentVersion, requestedChannel, config)
-    if (channelConfig) {
-      // 从配置中选择对应镜像源的 URL
-      const feedUrl = channelConfig.feedUrls[mirror]
-      this._setChannel(requestedChannel, feedUrl)
-      return
-    }
-  }
-
-  // Fallback 逻辑
-  const defaultFeedUrl = mirror === 'gitcode'
-    ? FeedUrl.PRODUCTION
-    : FeedUrl.GITHUB_LATEST
-  this._setChannel(UpgradeChannel.LATEST, defaultFeedUrl)
-}
-
-private async _fetchUpdateConfig(mirror: 'github' | 'gitcode'): Promise<UpdateConfig | null> {
-  const configUrl = mirror === 'gitcode'
-    ? UpdateConfigUrl.GITCODE
-    : UpdateConfigUrl.GITHUB
-
-  try {
-    const response = await net.fetch(configUrl, {
-      headers: {
-        'User-Agent': generateUserAgent(),
-        'Accept': 'application/json',
-        'X-Client-Id': configManager.getClientId()
-      }
-    })
-    return await response.json() as UpdateConfig
-  } catch (error) {
-    logger.error('Failed to fetch update config:', error)
-    return null
-  }
-}
-```
-
-## 降级和容错策略
-
-1. **配置文件获取失败**: 记录错误日志，返回当前版本，不提供更新
-2. **没有匹配的版本**: 提示用户当前版本不支持自动升级
-3. **网络异常**: 缓存上次成功获取的配置（可选）
-
-## GitHub Release 要求
-
-为支持中间版本升级，需要保留以下文件：
-
-- **v1.7.0 release** 及其 latest*.yml 文件（作为 v1.7 以下用户的升级目标）
-- 未来如需强制中间版本（如 v2.8.0），需要保留对应的 release 和 latest*.yml 文件
-- 各版本的完整安装包
-
-### 当前需要的 Release
-
-| 版本 | 用途 | 必须保留 |
-|------|------|---------|
-| v1.7.0 | 1.7 以下用户的升级目标 | ✅ 是 |
-| v2.0.0-rc.1 | RC 测试渠道 | ❌ 可选 |
-| v2.0.0-beta.1 | Beta 测试渠道 | ❌ 可选 |
-| latest | 最新稳定版（自动） | ✅ 是 |
-
-## 优势
-
-1. **灵活性**: 支持任意复杂的升级路径
-2. **可扩展性**: 新增版本只需在配置文件中添加新条目
-3. **可维护性**: 配置与代码分离，无需发版即可调整升级策略
-4. **多源支持**: 自动根据地理位置选择最优配置源
-5. **版本控制**: 强制中间版本升级，确保数据迁移和兼容性
-
-## 未来扩展
-
-- 支持更细粒度的版本范围控制（如 `>=1.5.0 <1.8.0`）
-- 支持多步升级路径提示（如提示用户需要 1.5 → 1.8 → 2.0）
-- 支持 A/B 测试和灰度发布
-- 支持配置文件的本地缓存和过期策略

docs/testplan-en.md

@@ -11,8 +11,6 @@ The Test Plan is divided into the RC channel and the Beta channel, with the foll
 
 Users can enable the "Test Plan" and select the version channel in the software's `Settings` > `About`. Please note that the versions in the "Test Plan" cannot guarantee data consistency, so be sure to back up your data before using them.
 
-After enabling the RC channel or Beta channel, if a stable version is released, users will still be upgraded to the stable version.
-
 Users are welcome to submit issues or provide feedback through other channels for any bugs encountered during testing. Your feedback is very important to us.
 
 ## Developer Guide

docs/testplan-zh.md

@@ -11,8 +11,6 @@
 
 用户可以在软件的`设置`-`关于`中，开启“测试计划”并选择版本通道。请注意“测试计划”的版本无法保证数据的一致性，请使用前一定要备份数据。
 
-用户选择RC版通道或Beta版通道后，若发布了正式版，仍旧会升级到正式版。
-
 用户在测试过程中发现的BUG，欢迎提交issue或通过其他渠道反馈。用户的反馈对我们非常重要。
 
 ## 开发者指南

electron-builder.yml

@@ -21,8 +21,6 @@ files:
   - "**/*"
   - "!**/{.vscode,.yarn,.yarn-lock,.github,.cursorrules,.prettierrc}"
   - "!electron.vite.config.{js,ts,mjs,cjs}}"
-  - "!.*"
-  - "!components.json"
   - "!**/{.eslintignore,.eslintrc.js,.eslintrc.json,.eslintcache,root.eslint.config.js,eslint.config.js,.eslintrc.cjs,.prettierignore,.prettierrc.yaml,eslint.config.mjs,dev-app-update.yml,CHANGELOG.md,README.md,biome.jsonc}"
   - "!**/{.env,.env.*,.npmrc,pnpm-lock.yaml}"
   - "!**/{tsconfig.json,tsconfig.tsbuildinfo,tsconfig.node.json,tsconfig.web.json}"
@@ -66,12 +64,6 @@ 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}
@@ -97,6 +89,7 @@ mac:
   entitlementsInherit: build/entitlements.mac.plist
   notarize: false
   artifactName: ${productName}-${version}-${arch}.${ext}
+  minimumSystemVersion: "20.1.0" # 最低支持 macOS 11.0
   extendInfo:
     - NSCameraUsageDescription: Application requests access to the device's camera.
     - NSMicrophoneUsageDescription: Application requests access to the device's microphone.
@@ -134,58 +127,60 @@ artifactBuildCompleted: scripts/artifact-build-completed.js
 releaseInfo:
   releaseNotes: |
     <!--LANG:en-->
-    What's New in v1.7.0-rc.1
+    What's New in v1.7.0-beta.2
 
-    🎉 MAJOR NEW FEATURE: AI Agents
-    - Create and manage custom AI agents with specialized tools and permissions
-    - Dedicated agent sessions with persistent SQLite storage, separate from regular chats
-    - Real-time tool approval system - review and approve agent actions dynamically
-    - MCP (Model Context Protocol) integration for connecting external tools
-    - Slash commands support for quick agent interactions
-    - OpenAI-compatible REST API for agent access
+    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
 
-    ✨ New Features:
-    - AI Providers: Added support for Hugging Face, Mistral, Perplexity, and SophNet
-    - Knowledge Base: OpenMinerU document preprocessor, full-text search in notes, enhanced tool selection
-    - Image & OCR: Intel OVMS painting provider and Intel OpenVINO (NPU) OCR support
-    - MCP Management: Redesigned interface with dual-column layout for easier management
-    - Languages: Added German language support
+    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
 
-    ⚡ Improvements:
-    - Upgraded to Electron 38.7.0
-    - Enhanced system shutdown handling and automatic update checks
-    - Improved proxy bypass rules
-
-    🐛 Important Bug Fixes:
-    - Fixed streaming response issues across multiple AI providers
-    - Fixed session list scrolling problems
-    - Fixed knowledge base deletion errors
+    Bug Fixes:
+    - Fixed GitHub Copilot gpt-5-codex streaming issues
+    - Fixed assistant creation failures
+    - Fixed translate auto-copy functionality
+    - Fixed miniapps external link opening
+    - Fixed message layout and overflow issues
+    - Fixed API key parsing to preserve spaces
+    - Fixed agent display in different navbar layouts
 
     <!--LANG:zh-CN-->
-    v1.7.0-rc.1 新特性
+    v1.7.0-beta.2 新特性
 
-    🎉 重大更新：AI Agent 智能体系统
-    - 创建和管理专属 AI Agent，配置专用工具和权限
-    - 独立的 Agent 会话，使用 SQLite 持久化存储，与普通聊天分离
-    - 实时工具审批系统 - 动态审查和批准 Agent 操作
-    - MCP（模型上下文协议）集成，连接外部工具
-    - 支持斜杠命令快速交互
-    - 兼容 OpenAI 的 REST API 访问
+    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
 
-    ✨ 新功能:
-    - AI 提供商：新增 Hugging Face、Mistral、Perplexity 和 SophNet 支持
-    - 知识库：OpenMinerU 文档预处理器、笔记全文搜索、增强的工具选择
-    - 图像与 OCR：Intel OVMS 绘图提供商和 Intel OpenVINO (NPU) OCR 支持
-    - MCP 管理：重构管理界面，采用双列布局，更加方便管理
-    - 语言：新增德语支持
+    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
 
-    ⚡ 改进:
-    - 升级到 Electron 38.7.0
-    - 增强的系统关机处理和自动更新检查
-    - 改进的代理绕过规则
-
-    🐛 重要修复:
-    - 修复多个 AI 提供商的流式响应问题
-    - 修复会话列表滚动问题
-    - 修复知识库删除错误
+    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-->

electron.vite.config.ts

@@ -95,8 +95,7 @@ export default defineConfig({
         '@cherrystudio/ai-core/provider': resolve('packages/aiCore/src/core/providers'),
         '@cherrystudio/ai-core/built-in/plugins': resolve('packages/aiCore/src/core/plugins/built-in'),
         '@cherrystudio/ai-core': resolve('packages/aiCore/src'),
-        '@cherrystudio/extension-table-plus': resolve('packages/extension-table-plus/src'),
-        '@cherrystudio/ai-sdk-provider': resolve('packages/ai-sdk-provider/src')
+        '@cherrystudio/extension-table-plus': resolve('packages/extension-table-plus/src')
       }
     },
     optimizeDeps: {

package.json

@@ -1,6 +1,6 @@
 {
   "name": "CherryStudio",
-  "version": "1.7.0-rc.1",
+  "version": "1.7.0-beta.2",
   "private": true,
   "description": "A powerful AI assistant for producer.",
   "main": "./out/main/index.js",
@@ -58,7 +58,6 @@
     "update:i18n": "dotenv -e .env -- tsx scripts/update-i18n.ts",
     "auto:i18n": "dotenv -e .env -- tsx scripts/auto-translate-i18n.ts",
     "update:languages": "tsx scripts/update-languages.ts",
-    "update:upgrade-config": "tsx scripts/update-app-upgrade-config.ts",
     "test": "vitest run --silent",
     "test:main": "vitest run --project main",
     "test:renderer": "vitest run --project renderer",
@@ -74,32 +73,25 @@
     "format:check": "biome format && biome lint",
     "prepare": "git config blame.ignoreRevsFile .git-blame-ignore-revs && husky",
     "claude": "dotenv -e .env -- claude",
-    "release:aicore:alpha": "yarn workspace @cherrystudio/ai-core version prerelease --preid alpha --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --tag alpha --access public",
-    "release:aicore:beta": "yarn workspace @cherrystudio/ai-core version prerelease --preid beta --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --tag beta --access public",
-    "release:aicore": "yarn workspace @cherrystudio/ai-core version patch --immediate && yarn workspace @cherrystudio/ai-core build && yarn workspace @cherrystudio/ai-core npm publish --access public",
-    "release:ai-sdk-provider": "yarn workspace @cherrystudio/ai-sdk-provider version patch --immediate && yarn workspace @cherrystudio/ai-sdk-provider build && yarn workspace @cherrystudio/ai-sdk-provider npm publish --access public"
+    "release:aicore:alpha": "yarn workspace @cherrystudio/ai-core version prerelease --immediate && yarn workspace @cherrystudio/ai-core npm publish --tag alpha --access public",
+    "release:aicore:beta": "yarn workspace @cherrystudio/ai-core version prerelease --immediate && yarn workspace @cherrystudio/ai-core npm publish --tag beta --access public",
+    "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%3A0.1.30#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.30-b50a299674.patch",
+    "@anthropic-ai/claude-agent-sdk": "patch:@anthropic-ai/claude-agent-sdk@npm%3A0.1.1#~/.yarn/patches/@anthropic-ai-claude-agent-sdk-npm-0.1.1-d937b73fed.patch",
     "@libsql/client": "0.14.0",
     "@libsql/win32-x64-msvc": "^0.4.7",
     "@napi-rs/system-ocr": "patch:@napi-rs/system-ocr@npm%3A1.0.2#~/.yarn/patches/@napi-rs-system-ocr-npm-1.0.2-59e7a78e8b.patch",
-    "@paymoapp/electron-shutdown-handler": "^1.1.2",
     "@strongtz/win32-arm64-msvc": "^0.4.7",
-    "emoji-picker-element-data": "^1",
     "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",
@@ -109,25 +101,18 @@
     "@agentic/exa": "^7.3.3",
     "@agentic/searxng": "^7.3.3",
     "@agentic/tavily": "^7.3.3",
-    "@ai-sdk/amazon-bedrock": "^3.0.56",
-    "@ai-sdk/anthropic": "^2.0.45",
-    "@ai-sdk/cerebras": "^1.0.31",
-    "@ai-sdk/gateway": "^2.0.13",
-    "@ai-sdk/google": "patch:@ai-sdk/google@npm%3A2.0.40#~/.yarn/patches/@ai-sdk-google-npm-2.0.40-47e0eeee83.patch",
-    "@ai-sdk/google-vertex": "^3.0.72",
-    "@ai-sdk/huggingface": "^0.0.10",
-    "@ai-sdk/mistral": "^2.0.24",
-    "@ai-sdk/openai": "patch:@ai-sdk/openai@npm%3A2.0.71#~/.yarn/patches/@ai-sdk-openai-npm-2.0.71-a88ef00525.patch",
-    "@ai-sdk/perplexity": "^2.0.20",
-    "@ai-sdk/test-server": "^0.0.1",
+    "@ai-sdk/amazon-bedrock": "^3.0.35",
+    "@ai-sdk/google-vertex": "^3.0.40",
+    "@ai-sdk/mistral": "^2.0.19",
+    "@ai-sdk/perplexity": "^2.0.13",
     "@ant-design/v5-patch-for-react-19": "^1.0.3",
     "@anthropic-ai/sdk": "^0.41.0",
     "@anthropic-ai/vertex-sdk": "patch:@anthropic-ai/vertex-sdk@npm%3A0.11.4#~/.yarn/patches/@anthropic-ai-vertex-sdk-npm-0.11.4-c19cb41edb.patch",
-    "@aws-sdk/client-bedrock": "^3.910.0",
-    "@aws-sdk/client-bedrock-runtime": "^3.910.0",
-    "@aws-sdk/client-s3": "^3.910.0",
+    "@aws-sdk/client-bedrock": "^3.840.0",
+    "@aws-sdk/client-bedrock-runtime": "^3.840.0",
+    "@aws-sdk/client-s3": "^3.840.0",
     "@biomejs/biome": "2.2.4",
-    "@cherrystudio/ai-core": "workspace:^1.0.9",
+    "@cherrystudio/ai-core": "workspace:^1.0.0-alpha.18",
     "@cherrystudio/embedjs": "^0.1.31",
     "@cherrystudio/embedjs-libsql": "^0.1.31",
     "@cherrystudio/embedjs-loader-csv": "^0.1.31",
@@ -141,7 +126,7 @@
     "@cherrystudio/embedjs-ollama": "^0.1.31",
     "@cherrystudio/embedjs-openai": "^0.1.31",
     "@cherrystudio/extension-table-plus": "workspace:^",
-    "@cherrystudio/openai": "^6.9.0",
+    "@cherrystudio/openai": "^6.5.0",
     "@dnd-kit/core": "^6.3.1",
     "@dnd-kit/modifiers": "^9.0.0",
     "@dnd-kit/sortable": "^10.0.0",
@@ -156,23 +141,21 @@
     "@eslint/js": "^9.22.0",
     "@google/genai": "patch:@google/genai@npm%3A1.0.1#~/.yarn/patches/@google-genai-npm-1.0.1-e26f0f9af7.patch",
     "@hello-pangea/dnd": "^18.0.1",
+    "@heroui/react": "^2.8.3",
     "@kangfenmao/keyv-storage": "^0.1.0",
-    "@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",
-    "@mcp-ui/client": "^5.14.1",
+    "@langchain/community": "^0.3.50",
     "@mistralai/mistralai": "^1.7.5",
     "@modelcontextprotocol/sdk": "^1.17.5",
     "@mozilla/readability": "^0.6.0",
     "@notionhq/client": "^2.2.15",
-    "@openrouter/ai-sdk-provider": "^1.2.5",
+    "@openrouter/ai-sdk-provider": "^1.1.2",
     "@opentelemetry/api": "^1.9.0",
     "@opentelemetry/core": "2.0.0",
     "@opentelemetry/exporter-trace-otlp-http": "^0.200.0",
     "@opentelemetry/sdk-trace-base": "^2.0.0",
     "@opentelemetry/sdk-trace-node": "^2.0.0",
     "@opentelemetry/sdk-trace-web": "^2.0.0",
-    "@opeoginni/github-copilot-openai-compatible": "0.1.21",
+    "@opeoginni/github-copilot-openai-compatible": "0.1.19",
     "@playwright/test": "^1.52.0",
     "@radix-ui/react-context-menu": "^2.2.16",
     "@reduxjs/toolkit": "^2.2.5",
@@ -211,7 +194,6 @@
     "@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",
@@ -241,7 +223,7 @@
     "@viz-js/lang-dot": "^1.0.5",
     "@viz-js/viz": "^3.14.0",
     "@xyflow/react": "^12.4.4",
-    "ai": "^5.0.98",
+    "ai": "^5.0.68",
     "antd": "patch:antd@npm%3A5.27.0#~/.yarn/patches/antd-npm-5.27.0-aa91c36546.patch",
     "archiver": "^7.0.1",
     "async-mutex": "^0.5.0",
@@ -251,7 +233,6 @@
     "check-disk-space": "3.4.0",
     "cheerio": "^1.1.2",
     "chokidar": "^4.0.3",
-    "claude-code-plugins": "1.0.3",
     "cli-progress": "^3.12.0",
     "clsx": "^2.1.1",
     "code-inspector-plugin": "^0.20.14",
@@ -267,12 +248,12 @@
     "dotenv-cli": "^7.4.2",
     "drizzle-kit": "^0.31.4",
     "drizzle-orm": "^0.44.5",
-    "electron": "38.7.0",
-    "electron-builder": "26.1.0",
+    "electron": "38.4.0",
+    "electron-builder": "26.0.15",
     "electron-devtools-installer": "^3.2.0",
     "electron-reload": "^2.0.0-alpha.1",
     "electron-store": "^8.2.0",
-    "electron-updater": "patch:electron-updater@npm%3A6.7.0#~/.yarn/patches/electron-updater-npm-6.7.0-47b11bb0d4.patch",
+    "electron-updater": "6.6.4",
     "electron-vite": "4.0.1",
     "electron-window-state": "^5.0.3",
     "emittery": "^1.0.3",
@@ -358,7 +339,6 @@
     "striptags": "^3.2.0",
     "styled-components": "^6.1.11",
     "swr": "^2.3.6",
-    "tailwind-merge": "^3.3.1",
     "tailwindcss": "^4.1.13",
     "tar": "^7.4.3",
     "tiny-pinyin": "^1.3.2",
@@ -384,16 +364,19 @@
     "zod": "^4.1.5"
   },
   "resolutions": {
-    "@smithy/types": "4.7.1",
     "@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%3A1.0.2#~/.yarn/patches/@langchain-core-npm-1.0.2-183ef83fe4.patch",
+    "@langchain/core@npm:^0.3.26": "patch:@langchain/core@npm%3A0.3.44#~/.yarn/patches/@langchain-core-npm-0.3.44-41d5c3cb0a.patch",
+    "@langchain/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",
+    "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": "4.24.0",
+    "node-abi": "4.12.0",
     "openai@npm:^4.77.0": "npm:@cherrystudio/openai@6.5.0",
     "openai@npm:^4.87.3": "npm:@cherrystudio/openai@6.5.0",
     "pdf-parse@npm:1.1.1": "patch:pdf-parse@npm%3A1.1.1#~/.yarn/patches/pdf-parse-npm-1.1.1-04a6109b2a.patch",
@@ -402,23 +385,13 @@
     "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/openai@npm:^2.0.52": "patch:@ai-sdk/openai@npm%3A2.0.52#~/.yarn/patches/@ai-sdk-openai-npm-2.0.52-b36d949c76.patch",
+    "@ai-sdk/google@npm:2.0.20": "patch:@ai-sdk/google@npm%3A2.0.20#~/.yarn/patches/@ai-sdk-google-npm-2.0.20-b9102f9d54.patch",
     "@img/sharp-darwin-arm64": "0.34.3",
     "@img/sharp-darwin-x64": "0.34.3",
     "@img/sharp-linux-arm": "0.34.3",
     "@img/sharp-linux-arm64": "0.34.3",
     "@img/sharp-linux-x64": "0.34.3",
-    "@img/sharp-win32-x64": "0.34.3",
-    "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",
-    "@ai-sdk/openai@npm:2.0.64": "patch:@ai-sdk/openai@npm%3A2.0.64#~/.yarn/patches/@ai-sdk-openai-npm-2.0.64-48f99f5bf3.patch",
-    "@ai-sdk/openai@npm:^2.0.42": "patch:@ai-sdk/openai@npm%3A2.0.71#~/.yarn/patches/@ai-sdk-openai-npm-2.0.71-a88ef00525.patch",
-    "@ai-sdk/google@npm:2.0.40": "patch:@ai-sdk/google@npm%3A2.0.40#~/.yarn/patches/@ai-sdk-google-npm-2.0.40-47e0eeee83.patch",
-    "@ai-sdk/openai@npm:2.0.71": "patch:@ai-sdk/openai@npm%3A2.0.71#~/.yarn/patches/@ai-sdk-openai-npm-2.0.71-a88ef00525.patch",
-    "@ai-sdk/openai-compatible@npm:1.0.27": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch",
-    "@ai-sdk/openai-compatible@npm:^1.0.19": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch"
+    "@img/sharp-win32-x64": "0.34.3"
   },
   "packageManager": "yarn@4.9.1",
   "lint-staged": {

packages/ai-sdk-provider/README.md

@@ -1,39 +0,0 @@
-# @cherrystudio/ai-sdk-provider
-
-CherryIN provider bundle for the [Vercel AI SDK](https://ai-sdk.dev/).  
-It exposes the CherryIN OpenAI-compatible entrypoints and dynamically routes Anthropic and Gemini model ids to their CherryIN upstream equivalents.
-
-## Installation
-
-```bash
-npm install ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
-# or
-yarn add ai @cherrystudio/ai-sdk-provider @ai-sdk/anthropic @ai-sdk/google @ai-sdk/openai
-```
-
-> **Note**: This package requires peer dependencies `ai`, `@ai-sdk/anthropic`, `@ai-sdk/google`, and `@ai-sdk/openai` to be installed.
-
-## Usage
-
-```ts
-import { createCherryIn, cherryIn } from '@cherrystudio/ai-sdk-provider'
-
-const cherryInProvider = createCherryIn({
-  apiKey: process.env.CHERRYIN_API_KEY,
-  // optional overrides:
-  // baseURL: 'https://open.cherryin.net/v1',
-  // anthropicBaseURL: 'https://open.cherryin.net/anthropic',
-  // geminiBaseURL: 'https://open.cherryin.net/gemini/v1beta',
-})
-
-// Chat models will auto-route based on the model id prefix:
-const openaiModel = cherryInProvider.chat('gpt-4o-mini')
-const anthropicModel = cherryInProvider.chat('claude-3-5-sonnet-latest')
-const geminiModel = cherryInProvider.chat('gemini-2.0-pro-exp')
-
-const { text } = await openaiModel.invoke('Hello CherryIN!')
-```
-
-The provider also exposes `completion`, `responses`, `embedding`, `image`, `transcription`, and `speech` helpers aligned with the upstream APIs.
-
-See [AI SDK docs](https://ai-sdk.dev/providers/community-providers/custom-providers) for configuring custom providers.

packages/ai-sdk-provider/package.json

@@ -1,64 +0,0 @@
-{
-  "name": "@cherrystudio/ai-sdk-provider",
-  "version": "0.1.3",
-  "description": "Cherry Studio AI SDK provider bundle with CherryIN routing.",
-  "keywords": [
-    "ai-sdk",
-    "provider",
-    "cherryin",
-    "vercel-ai-sdk",
-    "cherry-studio"
-  ],
-  "author": "Cherry Studio",
-  "license": "MIT",
-  "homepage": "https://github.com/CherryHQ/cherry-studio",
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/CherryHQ/cherry-studio.git",
-    "directory": "packages/ai-sdk-provider"
-  },
-  "bugs": {
-    "url": "https://github.com/CherryHQ/cherry-studio/issues"
-  },
-  "type": "module",
-  "main": "dist/index.cjs",
-  "module": "dist/index.js",
-  "types": "dist/index.d.ts",
-  "files": [
-    "dist"
-  ],
-  "scripts": {
-    "build": "tsdown",
-    "dev": "tsc -w",
-    "clean": "rm -rf dist",
-    "test": "vitest run",
-    "test:watch": "vitest"
-  },
-  "peerDependencies": {
-    "@ai-sdk/anthropic": "^2.0.29",
-    "@ai-sdk/google": "^2.0.23",
-    "@ai-sdk/openai": "^2.0.64",
-    "ai": "^5.0.26"
-  },
-  "dependencies": {
-    "@ai-sdk/provider": "^2.0.0",
-    "@ai-sdk/provider-utils": "^3.0.17"
-  },
-  "devDependencies": {
-    "tsdown": "^0.13.3",
-    "typescript": "^5.8.2",
-    "vitest": "^3.2.4"
-  },
-  "sideEffects": false,
-  "engines": {
-    "node": ">=18.0.0"
-  },
-  "exports": {
-    ".": {
-      "types": "./dist/index.d.ts",
-      "import": "./dist/index.js",
-      "require": "./dist/index.cjs",
-      "default": "./dist/index.js"
-    }
-  }
-}

packages/ai-sdk-provider/src/cherryin-provider.ts

@@ -1,347 +0,0 @@
-import { AnthropicMessagesLanguageModel } from '@ai-sdk/anthropic/internal'
-import { GoogleGenerativeAILanguageModel } from '@ai-sdk/google/internal'
-import type { OpenAIProviderSettings } from '@ai-sdk/openai'
-import {
-  OpenAIChatLanguageModel,
-  OpenAICompletionLanguageModel,
-  OpenAIEmbeddingModel,
-  OpenAIImageModel,
-  OpenAIResponsesLanguageModel,
-  OpenAISpeechModel,
-  OpenAITranscriptionModel
-} from '@ai-sdk/openai/internal'
-import {
-  type EmbeddingModelV2,
-  type ImageModelV2,
-  type LanguageModelV2,
-  type ProviderV2,
-  type SpeechModelV2,
-  type TranscriptionModelV2
-} from '@ai-sdk/provider'
-import type { FetchFunction } from '@ai-sdk/provider-utils'
-import { loadApiKey, withoutTrailingSlash } from '@ai-sdk/provider-utils'
-
-export const CHERRYIN_PROVIDER_NAME = 'cherryin' as const
-export const DEFAULT_CHERRYIN_BASE_URL = 'https://open.cherryin.net/v1'
-export const DEFAULT_CHERRYIN_ANTHROPIC_BASE_URL = 'https://open.cherryin.net/v1'
-export const DEFAULT_CHERRYIN_GEMINI_BASE_URL = 'https://open.cherryin.net/v1beta/models'
-
-const ANTHROPIC_PREFIX = /^anthropic\//i
-const GEMINI_PREFIX = /^google\//i
-// const GEMINI_EXCLUDED_SUFFIXES = ['-nothink', '-search']
-
-type HeaderValue = string | undefined
-
-type HeadersInput = Record<string, HeaderValue> | (() => Record<string, HeaderValue>)
-
-export interface CherryInProviderSettings {
-  /**
-   * CherryIN API key.
-   *
-   * If omitted, the provider will read the `CHERRYIN_API_KEY` environment variable.
-   */
-  apiKey?: string
-  /**
-   * Optional custom fetch implementation.
-   */
-  fetch?: FetchFunction
-  /**
-   * Base URL for OpenAI-compatible CherryIN endpoints.
-   *
-   * Defaults to `https://open.cherryin.net/v1`.
-   */
-  baseURL?: string
-  /**
-   * Base URL for Anthropic-compatible endpoints.
-   *
-   * Defaults to `https://open.cherryin.net/anthropic`.
-   */
-  anthropicBaseURL?: string
-  /**
-   * Base URL for Gemini-compatible endpoints.
-   *
-   * Defaults to `https://open.cherryin.net/gemini/v1beta`.
-   */
-  geminiBaseURL?: string
-  /**
-   * Optional static headers applied to every request.
-   */
-  headers?: HeadersInput
-  /**
-   * Optional endpoint type to distinguish different endpoint behaviors.
-   */
-  endpointType?: 'openai' | 'openai-response' | 'anthropic' | 'gemini' | 'image-generation' | 'jina-rerank'
-}
-
-export interface CherryInProvider extends ProviderV2 {
-  (modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
-  languageModel(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
-  chat(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
-  responses(modelId: string): LanguageModelV2
-  completion(modelId: string, settings?: OpenAIProviderSettings): LanguageModelV2
-  embedding(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
-  textEmbedding(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
-  textEmbeddingModel(modelId: string, settings?: OpenAIProviderSettings): EmbeddingModelV2<string>
-  image(modelId: string, settings?: OpenAIProviderSettings): ImageModelV2
-  imageModel(modelId: string, settings?: OpenAIProviderSettings): ImageModelV2
-  transcription(modelId: string): TranscriptionModelV2
-  transcriptionModel(modelId: string): TranscriptionModelV2
-  speech(modelId: string): SpeechModelV2
-  speechModel(modelId: string): SpeechModelV2
-}
-
-const resolveApiKey = (options: CherryInProviderSettings): string =>
-  loadApiKey({
-    apiKey: options.apiKey,
-    environmentVariableName: 'CHERRYIN_API_KEY',
-    description: 'CherryIN'
-  })
-
-const isAnthropicModel = (modelId: string) => ANTHROPIC_PREFIX.test(modelId)
-const isGeminiModel = (modelId: string) => GEMINI_PREFIX.test(modelId)
-
-const createCustomFetch = (originalFetch?: any) => {
-  return async (url: string, options: any) => {
-    if (options?.body) {
-      try {
-        const body = JSON.parse(options.body)
-        if (body.tools && Array.isArray(body.tools) && body.tools.length === 0 && body.tool_choice) {
-          delete body.tool_choice
-          options.body = JSON.stringify(body)
-        }
-      } catch (error) {
-        // ignore error
-      }
-    }
-
-    return originalFetch ? originalFetch(url, options) : fetch(url, options)
-  }
-}
-class CherryInOpenAIChatLanguageModel extends OpenAIChatLanguageModel {
-  constructor(modelId: string, settings: any) {
-    super(modelId, {
-      ...settings,
-      fetch: createCustomFetch(settings.fetch)
-    })
-  }
-}
-
-const resolveConfiguredHeaders = (headers?: HeadersInput): Record<string, HeaderValue> => {
-  if (typeof headers === 'function') {
-    return { ...headers() }
-  }
-  return headers ? { ...headers } : {}
-}
-
-const toBearerToken = (authorization?: string) => (authorization ? authorization.replace(/^Bearer\s+/i, '') : undefined)
-
-const createJsonHeadersGetter = (options: CherryInProviderSettings): (() => Record<string, HeaderValue>) => {
-  return () => ({
-    Authorization: `Bearer ${resolveApiKey(options)}`,
-    'Content-Type': 'application/json',
-    ...resolveConfiguredHeaders(options.headers)
-  })
-}
-
-const createAuthHeadersGetter = (options: CherryInProviderSettings): (() => Record<string, HeaderValue>) => {
-  return () => ({
-    Authorization: `Bearer ${resolveApiKey(options)}`,
-    ...resolveConfiguredHeaders(options.headers)
-  })
-}
-
-export const createCherryIn = (options: CherryInProviderSettings = {}): CherryInProvider => {
-  const {
-    baseURL = DEFAULT_CHERRYIN_BASE_URL,
-    anthropicBaseURL = DEFAULT_CHERRYIN_ANTHROPIC_BASE_URL,
-    geminiBaseURL = DEFAULT_CHERRYIN_GEMINI_BASE_URL,
-    fetch,
-    endpointType
-  } = options
-
-  const getJsonHeaders = createJsonHeadersGetter(options)
-  const getAuthHeaders = createAuthHeadersGetter(options)
-
-  const url = ({ path }: { path: string; modelId: string }) => `${withoutTrailingSlash(baseURL)}${path}`
-
-  const createAnthropicModel = (modelId: string) =>
-    new AnthropicMessagesLanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.anthropic`,
-      baseURL: anthropicBaseURL,
-      headers: () => {
-        const headers = getJsonHeaders()
-        const apiKey = toBearerToken(headers.Authorization)
-        return {
-          ...headers,
-          'x-api-key': apiKey
-        }
-      },
-      fetch,
-      supportedUrls: () => ({
-        'image/*': [/^https?:\/\/.*$/]
-      })
-    })
-
-  const createGeminiModel = (modelId: string) =>
-    new GoogleGenerativeAILanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.google`,
-      baseURL: geminiBaseURL,
-      headers: () => {
-        const headers = getJsonHeaders()
-        const apiKey = toBearerToken(headers.Authorization)
-        return {
-          ...headers,
-          'x-goog-api-key': apiKey
-        }
-      },
-      fetch,
-      generateId: () => `${CHERRYIN_PROVIDER_NAME}-${Date.now()}`,
-      supportedUrls: () => ({})
-    })
-
-  const createOpenAIChatModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
-    new CherryInOpenAIChatLanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.openai-chat`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders(),
-        ...settings.headers
-      }),
-      fetch
-    })
-
-  const createChatModelByModelId = (modelId: string, settings: OpenAIProviderSettings = {}) => {
-    if (isAnthropicModel(modelId)) {
-      return createAnthropicModel(modelId)
-    }
-    if (isGeminiModel(modelId)) {
-      return createGeminiModel(modelId)
-    }
-    return new OpenAIResponsesLanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.openai`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders(),
-        ...settings.headers
-      }),
-      fetch
-    })
-  }
-
-  const createChatModel = (modelId: string, settings: OpenAIProviderSettings = {}) => {
-    if (!endpointType) return createChatModelByModelId(modelId, settings)
-    switch (endpointType) {
-      case 'anthropic':
-        return createAnthropicModel(modelId)
-      case 'gemini':
-        return createGeminiModel(modelId)
-      case 'openai':
-        return createOpenAIChatModel(modelId)
-      case 'openai-response':
-      default:
-        return new OpenAIResponsesLanguageModel(modelId, {
-          provider: `${CHERRYIN_PROVIDER_NAME}.openai`,
-          url,
-          headers: () => ({
-            ...getJsonHeaders(),
-            ...settings.headers
-          }),
-          fetch
-        })
-    }
-  }
-
-  const createCompletionModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
-    new OpenAICompletionLanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.completion`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders(),
-        ...settings.headers
-      }),
-      fetch
-    })
-
-  const createEmbeddingModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
-    new OpenAIEmbeddingModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.embeddings`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders(),
-        ...settings.headers
-      }),
-      fetch
-    })
-
-  const createResponsesModel = (modelId: string) =>
-    new OpenAIResponsesLanguageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.responses`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders()
-      }),
-      fetch
-    })
-
-  const createImageModel = (modelId: string, settings: OpenAIProviderSettings = {}) =>
-    new OpenAIImageModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.image`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders(),
-        ...settings.headers
-      }),
-      fetch
-    })
-
-  const createTranscriptionModel = (modelId: string) =>
-    new OpenAITranscriptionModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.transcription`,
-      url,
-      headers: () => ({
-        ...getAuthHeaders()
-      }),
-      fetch
-    })
-
-  const createSpeechModel = (modelId: string) =>
-    new OpenAISpeechModel(modelId, {
-      provider: `${CHERRYIN_PROVIDER_NAME}.speech`,
-      url,
-      headers: () => ({
-        ...getJsonHeaders()
-      }),
-      fetch
-    })
-
-  const provider: CherryInProvider = function (modelId: string, settings?: OpenAIProviderSettings) {
-    if (new.target) {
-      throw new Error('CherryIN provider function cannot be called with the new keyword.')
-    }
-
-    return createChatModel(modelId, settings)
-  }
-
-  provider.languageModel = createChatModel
-  provider.chat = createOpenAIChatModel
-
-  provider.responses = createResponsesModel
-  provider.completion = createCompletionModel
-
-  provider.embedding = createEmbeddingModel
-  provider.textEmbedding = createEmbeddingModel
-  provider.textEmbeddingModel = createEmbeddingModel
-
-  provider.image = createImageModel
-  provider.imageModel = createImageModel
-
-  provider.transcription = createTranscriptionModel
-  provider.transcriptionModel = createTranscriptionModel
-
-  provider.speech = createSpeechModel
-  provider.speechModel = createSpeechModel
-
-  return provider
-}
-
-export const cherryIn = createCherryIn()

packages/ai-sdk-provider/src/index.ts

@@ -1 +0,0 @@
-export * from './cherryin-provider'

packages/ai-sdk-provider/tsconfig.json

@@ -1,19 +0,0 @@
-{
-  "compilerOptions": {
-    "allowSyntheticDefaultImports": true,
-    "declaration": true,
-    "esModuleInterop": true,
-    "forceConsistentCasingInFileNames": true,
-    "module": "ESNext",
-    "moduleResolution": "bundler",
-    "noEmitOnError": false,
-    "outDir": "./dist",
-    "resolveJsonModule": true,
-    "rootDir": "./src",
-    "skipLibCheck": true,
-    "strict": true,
-    "target": "ES2020"
-  },
-  "exclude": ["node_modules", "dist"],
-  "include": ["src/**/*"]
-}

packages/ai-sdk-provider/tsdown.config.ts

@@ -1,12 +0,0 @@
-import { defineConfig } from 'tsdown'
-
-export default defineConfig({
-  entry: {
-    index: 'src/index.ts'
-  },
-  outDir: 'dist',
-  format: ['esm', 'cjs'],
-  clean: true,
-  dts: true,
-  tsconfig: 'tsconfig.json'
-})

packages/aiCore/README.md

@@ -71,7 +71,7 @@ Cherry Studio AI Core 是一个基于 Vercel AI SDK 的统一 AI Provider 接口
 ## 安装
 
 ```bash
-npm install @cherrystudio/ai-core ai @ai-sdk/google @ai-sdk/openai
+npm install @cherrystudio/ai-core ai
 ```
 
 ### React Native

packages/aiCore/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@cherrystudio/ai-core",
-  "version": "1.0.9",
+  "version": "1.0.1",
   "description": "Cherry Studio AI Core - Unified AI Provider Interface Based on Vercel AI SDK",
   "main": "dist/index.js",
   "module": "dist/index.mjs",
@@ -33,19 +33,17 @@
   },
   "homepage": "https://github.com/CherryHQ/cherry-studio#readme",
   "peerDependencies": {
-    "@ai-sdk/google": "^2.0.36",
-    "@ai-sdk/openai": "^2.0.64",
-    "@cherrystudio/ai-sdk-provider": "^0.1.3",
     "ai": "^5.0.26"
   },
   "dependencies": {
-    "@ai-sdk/anthropic": "^2.0.45",
-    "@ai-sdk/azure": "^2.0.73",
-    "@ai-sdk/deepseek": "^1.0.29",
-    "@ai-sdk/openai-compatible": "patch:@ai-sdk/openai-compatible@npm%3A1.0.27#~/.yarn/patches/@ai-sdk-openai-compatible-npm-1.0.27-06f74278cf.patch",
+    "@ai-sdk/anthropic": "^2.0.27",
+    "@ai-sdk/azure": "^2.0.49",
+    "@ai-sdk/deepseek": "^1.0.23",
+    "@ai-sdk/openai": "^2.0.48",
+    "@ai-sdk/openai-compatible": "^1.0.22",
     "@ai-sdk/provider": "^2.0.0",
-    "@ai-sdk/provider-utils": "^3.0.17",
-    "@ai-sdk/xai": "^2.0.34",
+    "@ai-sdk/provider-utils": "^3.0.12",
+    "@ai-sdk/xai": "^2.0.26",
     "zod": "^4.1.5"
   },
   "devDependencies": {

packages/aiCore/src/__tests__/fixtures/mock-providers.ts

@@ -1,180 +0,0 @@
-/**
- * Mock Provider Instances
- * Provides mock implementations for all supported AI providers
- */
-
-import type { ImageModelV2, LanguageModelV2 } from '@ai-sdk/provider'
-import { vi } from 'vitest'
-
-/**
- * Creates a mock language model with customizable behavior
- */
-export function createMockLanguageModel(overrides?: Partial<LanguageModelV2>): LanguageModelV2 {
-  return {
-    specificationVersion: 'v1',
-    provider: 'mock-provider',
-    modelId: 'mock-model',
-    defaultObjectGenerationMode: 'tool',
-
-    doGenerate: vi.fn().mockResolvedValue({
-      text: 'Mock response text',
-      finishReason: 'stop',
-      usage: {
-        promptTokens: 10,
-        completionTokens: 20,
-        totalTokens: 30
-      },
-      rawCall: { rawPrompt: null, rawSettings: {} },
-      rawResponse: { headers: {} },
-      warnings: []
-    }),
-
-    doStream: vi.fn().mockReturnValue({
-      stream: (async function* () {
-        yield {
-          type: 'text-delta',
-          textDelta: 'Mock '
-        }
-        yield {
-          type: 'text-delta',
-          textDelta: 'streaming '
-        }
-        yield {
-          type: 'text-delta',
-          textDelta: 'response'
-        }
-        yield {
-          type: 'finish',
-          finishReason: 'stop',
-          usage: {
-            promptTokens: 10,
-            completionTokens: 15,
-            totalTokens: 25
-          }
-        }
-      })(),
-      rawCall: { rawPrompt: null, rawSettings: {} },
-      rawResponse: { headers: {} },
-      warnings: []
-    }),
-
-    ...overrides
-  } as LanguageModelV2
-}
-
-/**
- * Creates a mock image model with customizable behavior
- */
-export function createMockImageModel(overrides?: Partial<ImageModelV2>): ImageModelV2 {
-  return {
-    specificationVersion: 'v2',
-    provider: 'mock-provider',
-    modelId: 'mock-image-model',
-
-    doGenerate: vi.fn().mockResolvedValue({
-      images: [
-        {
-          base64: 'mock-base64-image-data',
-          uint8Array: new Uint8Array([1, 2, 3, 4, 5]),
-          mimeType: 'image/png'
-        }
-      ],
-      warnings: []
-    }),
-
-    ...overrides
-  } as ImageModelV2
-}
-
-/**
- * Mock provider configurations for testing
- */
-export const mockProviderConfigs = {
-  openai: {
-    apiKey: 'sk-test-openai-key-123456789',
-    baseURL: 'https://api.openai.com/v1',
-    organization: 'test-org'
-  },
-
-  anthropic: {
-    apiKey: 'sk-ant-test-key-123456789',
-    baseURL: 'https://api.anthropic.com'
-  },
-
-  google: {
-    apiKey: 'test-google-api-key-123456789',
-    baseURL: 'https://generativelanguage.googleapis.com/v1'
-  },
-
-  xai: {
-    apiKey: 'xai-test-key-123456789',
-    baseURL: 'https://api.x.ai/v1'
-  },
-
-  azure: {
-    apiKey: 'test-azure-key-123456789',
-    resourceName: 'test-resource',
-    deployment: 'test-deployment'
-  },
-
-  deepseek: {
-    apiKey: 'sk-test-deepseek-key-123456789',
-    baseURL: 'https://api.deepseek.com/v1'
-  },
-
-  openrouter: {
-    apiKey: 'sk-or-test-key-123456789',
-    baseURL: 'https://openrouter.ai/api/v1'
-  },
-
-  huggingface: {
-    apiKey: 'hf_test_key_123456789',
-    baseURL: 'https://api-inference.huggingface.co'
-  },
-
-  'openai-compatible': {
-    apiKey: 'test-compatible-key-123456789',
-    baseURL: 'https://api.example.com/v1',
-    name: 'test-provider'
-  },
-
-  'openai-chat': {
-    apiKey: 'sk-test-chat-key-123456789',
-    baseURL: 'https://api.openai.com/v1'
-  }
-} as const
-
-/**
- * Mock provider instances for testing
- */
-export const mockProviderInstances = {
-  openai: {
-    name: 'openai-mock',
-    languageModel: createMockLanguageModel({ provider: 'openai', modelId: 'gpt-4' }),
-    imageModel: createMockImageModel({ provider: 'openai', modelId: 'dall-e-3' })
-  },
-
-  anthropic: {
-    name: 'anthropic-mock',
-    languageModel: createMockLanguageModel({ provider: 'anthropic', modelId: 'claude-3-5-sonnet-20241022' })
-  },
-
-  google: {
-    name: 'google-mock',
-    languageModel: createMockLanguageModel({ provider: 'google', modelId: 'gemini-2.0-flash-exp' }),
-    imageModel: createMockImageModel({ provider: 'google', modelId: 'imagen-3.0-generate-001' })
-  },
-
-  xai: {
-    name: 'xai-mock',
-    languageModel: createMockLanguageModel({ provider: 'xai', modelId: 'grok-2-latest' }),
-    imageModel: createMockImageModel({ provider: 'xai', modelId: 'grok-2-image-latest' })
-  },
-
-  deepseek: {
-    name: 'deepseek-mock',
-    languageModel: createMockLanguageModel({ provider: 'deepseek', modelId: 'deepseek-chat' })
-  }
-}
-
-export type ProviderId = keyof typeof mockProviderConfigs

packages/aiCore/src/__tests__/fixtures/mock-responses.ts

@@ -1,331 +0,0 @@
-/**
- * Mock Responses
- * Provides realistic mock responses for all provider types
- */
-
-import { jsonSchema, type ModelMessage, type Tool } from 'ai'
-
-/**
- * Standard test messages for all scenarios
- */
-export const testMessages = {
-  simple: [{ role: 'user' as const, content: 'Hello, how are you?' }],
-
-  conversation: [
-    { role: 'user' as const, content: 'What is the capital of France?' },
-    { role: 'assistant' as const, content: 'The capital of France is Paris.' },
-    { role: 'user' as const, content: 'What is its population?' }
-  ],
-
-  withSystem: [
-    { role: 'system' as const, content: 'You are a helpful assistant that provides concise answers.' },
-    { role: 'user' as const, content: 'Explain quantum computing in one sentence.' }
-  ],
-
-  withImages: [
-    {
-      role: 'user' as const,
-      content: [
-        { type: 'text' as const, text: 'What is in this image?' },
-        {
-          type: 'image' as const,
-          image:
-            'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=='
-        }
-      ]
-    }
-  ],
-
-  toolUse: [{ role: 'user' as const, content: 'What is the weather in San Francisco?' }],
-
-  multiTurn: [
-    { role: 'user' as const, content: 'Can you help me with a math problem?' },
-    { role: 'assistant' as const, content: 'Of course! What math problem would you like help with?' },
-    { role: 'user' as const, content: 'What is 15 * 23?' },
-    { role: 'assistant' as const, content: '15 * 23 = 345' },
-    { role: 'user' as const, content: 'Now divide that by 5' }
-  ]
-} satisfies Record<string, ModelMessage[]>
-
-/**
- * Standard test tools for tool calling scenarios
- */
-export const testTools: Record<string, Tool> = {
-  getWeather: {
-    description: 'Get the current weather in a given location',
-    inputSchema: jsonSchema({
-      type: 'object',
-      properties: {
-        location: {
-          type: 'string',
-          description: 'The city and state, e.g. San Francisco, CA'
-        },
-        unit: {
-          type: 'string',
-          enum: ['celsius', 'fahrenheit'],
-          description: 'The temperature unit to use'
-        }
-      },
-      required: ['location']
-    }),
-    execute: async ({ location, unit = 'fahrenheit' }) => {
-      return {
-        location,
-        temperature: unit === 'celsius' ? 22 : 72,
-        unit,
-        condition: 'sunny'
-      }
-    }
-  },
-
-  calculate: {
-    description: 'Perform a mathematical calculation',
-    inputSchema: jsonSchema({
-      type: 'object',
-      properties: {
-        operation: {
-          type: 'string',
-          enum: ['add', 'subtract', 'multiply', 'divide'],
-          description: 'The operation to perform'
-        },
-        a: {
-          type: 'number',
-          description: 'The first number'
-        },
-        b: {
-          type: 'number',
-          description: 'The second number'
-        }
-      },
-      required: ['operation', 'a', 'b']
-    }),
-    execute: async ({ operation, a, b }) => {
-      const operations = {
-        add: (x: number, y: number) => x + y,
-        subtract: (x: number, y: number) => x - y,
-        multiply: (x: number, y: number) => x * y,
-        divide: (x: number, y: number) => x / y
-      }
-      return { result: operations[operation as keyof typeof operations](a, b) }
-    }
-  },
-
-  searchDatabase: {
-    description: 'Search for information in a database',
-    inputSchema: jsonSchema({
-      type: 'object',
-      properties: {
-        query: {
-          type: 'string',
-          description: 'The search query'
-        },
-        limit: {
-          type: 'number',
-          description: 'Maximum number of results to return',
-          default: 10
-        }
-      },
-      required: ['query']
-    }),
-    execute: async ({ query, limit = 10 }) => {
-      return {
-        results: [
-          { id: 1, title: `Result 1 for ${query}`, relevance: 0.95 },
-          { id: 2, title: `Result 2 for ${query}`, relevance: 0.87 }
-        ].slice(0, limit)
-      }
-    }
-  }
-}
-
-/**
- * Mock streaming chunks for different providers
- */
-export const mockStreamingChunks = {
-  text: [
-    { type: 'text-delta' as const, textDelta: 'Hello' },
-    { type: 'text-delta' as const, textDelta: ', ' },
-    { type: 'text-delta' as const, textDelta: 'this ' },
-    { type: 'text-delta' as const, textDelta: 'is ' },
-    { type: 'text-delta' as const, textDelta: 'a ' },
-    { type: 'text-delta' as const, textDelta: 'test.' }
-  ],
-
-  withToolCall: [
-    { type: 'text-delta' as const, textDelta: 'Let me check the weather for you.' },
-    {
-      type: 'tool-call-delta' as const,
-      toolCallType: 'function' as const,
-      toolCallId: 'call_123',
-      toolName: 'getWeather',
-      argsTextDelta: '{"location":'
-    },
-    {
-      type: 'tool-call-delta' as const,
-      toolCallType: 'function' as const,
-      toolCallId: 'call_123',
-      toolName: 'getWeather',
-      argsTextDelta: ' "San Francisco, CA"}'
-    },
-    {
-      type: 'tool-call' as const,
-      toolCallType: 'function' as const,
-      toolCallId: 'call_123',
-      toolName: 'getWeather',
-      args: { location: 'San Francisco, CA' }
-    }
-  ],
-
-  withFinish: [
-    { type: 'text-delta' as const, textDelta: 'Complete response.' },
-    {
-      type: 'finish' as const,
-      finishReason: 'stop' as const,
-      usage: {
-        promptTokens: 10,
-        completionTokens: 5,
-        totalTokens: 15
-      }
-    }
-  ]
-}
-
-/**
- * Mock complete responses for non-streaming scenarios
- */
-export const mockCompleteResponses = {
-  simple: {
-    text: 'This is a simple response.',
-    finishReason: 'stop' as const,
-    usage: {
-      promptTokens: 15,
-      completionTokens: 8,
-      totalTokens: 23
-    }
-  },
-
-  withToolCalls: {
-    text: 'I will check the weather for you.',
-    toolCalls: [
-      {
-        toolCallId: 'call_456',
-        toolName: 'getWeather',
-        args: { location: 'New York, NY', unit: 'celsius' }
-      }
-    ],
-    finishReason: 'tool-calls' as const,
-    usage: {
-      promptTokens: 25,
-      completionTokens: 12,
-      totalTokens: 37
-    }
-  },
-
-  withWarnings: {
-    text: 'Response with warnings.',
-    finishReason: 'stop' as const,
-    usage: {
-      promptTokens: 10,
-      completionTokens: 5,
-      totalTokens: 15
-    },
-    warnings: [
-      {
-        type: 'unsupported-setting' as const,
-        message: 'Temperature parameter not supported for this model'
-      }
-    ]
-  }
-}
-
-/**
- * Mock image generation responses
- */
-export const mockImageResponses = {
-  single: {
-    image: {
-      base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
-      uint8Array: new Uint8Array([137, 80, 78, 71, 13, 10, 26, 10, 0, 0, 0, 13, 73, 72, 68, 82]),
-      mimeType: 'image/png' as const
-    },
-    warnings: []
-  },
-
-  multiple: {
-    images: [
-      {
-        base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
-        uint8Array: new Uint8Array([137, 80, 78, 71]),
-        mimeType: 'image/png' as const
-      },
-      {
-        base64: 'iVBORw0KGgoAAAANSUhEUgAAAAIAAAACCAYAAABytg0kAAAAEklEQVR42mNk+M9QzwAEjDAGACCKAgdZ9zImAAAAAElFTkSuQmCC',
-        uint8Array: new Uint8Array([137, 80, 78, 71]),
-        mimeType: 'image/png' as const
-      }
-    ],
-    warnings: []
-  },
-
-  withProviderMetadata: {
-    image: {
-      base64: 'iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
-      uint8Array: new Uint8Array([137, 80, 78, 71]),
-      mimeType: 'image/png' as const
-    },
-    providerMetadata: {
-      openai: {
-        images: [
-          {
-            revisedPrompt: 'A detailed and enhanced version of the original prompt'
-          }
-        ]
-      }
-    },
-    warnings: []
-  }
-}
-
-/**
- * Mock error responses
- */
-export const mockErrors = {
-  invalidApiKey: {
-    name: 'APIError',
-    message: 'Invalid API key provided',
-    statusCode: 401
-  },
-
-  rateLimitExceeded: {
-    name: 'RateLimitError',
-    message: 'Rate limit exceeded. Please try again later.',
-    statusCode: 429,
-    headers: {
-      'retry-after': '60'
-    }
-  },
-
-  modelNotFound: {
-    name: 'ModelNotFoundError',
-    message: 'The requested model was not found',
-    statusCode: 404
-  },
-
-  contextLengthExceeded: {
-    name: 'ContextLengthError',
-    message: "This model's maximum context length is 4096 tokens",
-    statusCode: 400
-  },
-
-  timeout: {
-    name: 'TimeoutError',
-    message: 'Request timed out after 30000ms',
-    code: 'ETIMEDOUT'
-  },
-
-  networkError: {
-    name: 'NetworkError',
-    message: 'Network connection failed',
-    code: 'ECONNREFUSED'
-  }
-}

packages/aiCore/src/__tests__/helpers/provider-test-utils.ts

@@ -1,329 +0,0 @@
-/**
- * Provider-Specific Test Utilities
- * Helper functions for testing individual providers with all their parameters
- */
-
-import type { Tool } from 'ai'
-import { expect } from 'vitest'
-
-/**
- * Provider parameter configurations for comprehensive testing
- */
-export const providerParameterMatrix = {
-  openai: {
-    models: ['gpt-4', 'gpt-4-turbo', 'gpt-3.5-turbo', 'gpt-4o'],
-    parameters: {
-      temperature: [0, 0.5, 0.7, 1.0, 1.5, 2.0],
-      maxTokens: [100, 500, 1000, 2000, 4000],
-      topP: [0.1, 0.5, 0.9, 1.0],
-      frequencyPenalty: [-2.0, -1.0, 0, 1.0, 2.0],
-      presencePenalty: [-2.0, -1.0, 0, 1.0, 2.0],
-      stop: [undefined, ['stop'], ['STOP', 'END']],
-      seed: [undefined, 12345, 67890],
-      responseFormat: [undefined, { type: 'json_object' as const }],
-      user: [undefined, 'test-user-123']
-    },
-    toolChoice: ['auto', 'required', 'none', { type: 'function' as const, name: 'getWeather' }],
-    parallelToolCalls: [true, false]
-  },
-
-  anthropic: {
-    models: ['claude-3-5-sonnet-20241022', 'claude-3-opus-20240229', 'claude-3-haiku-20240307'],
-    parameters: {
-      temperature: [0, 0.5, 1.0],
-      maxTokens: [100, 1000, 4000, 8000],
-      topP: [0.1, 0.5, 0.9, 1.0],
-      topK: [undefined, 1, 5, 10, 40],
-      stop: [undefined, ['Human:', 'Assistant:']],
-      metadata: [undefined, { userId: 'test-123' }]
-    },
-    toolChoice: ['auto', 'any', { type: 'tool' as const, name: 'getWeather' }]
-  },
-
-  google: {
-    models: ['gemini-2.0-flash-exp', 'gemini-1.5-pro', 'gemini-1.5-flash'],
-    parameters: {
-      temperature: [0, 0.5, 0.9, 1.0],
-      maxTokens: [100, 1000, 2000, 8000],
-      topP: [0.1, 0.5, 0.95, 1.0],
-      topK: [undefined, 1, 16, 40],
-      stopSequences: [undefined, ['END'], ['STOP', 'TERMINATE']]
-    },
-    safetySettings: [
-      undefined,
-      [
-        { category: 'HARM_CATEGORY_HARASSMENT', threshold: 'BLOCK_MEDIUM_AND_ABOVE' },
-        { category: 'HARM_CATEGORY_HATE_SPEECH', threshold: 'BLOCK_ONLY_HIGH' }
-      ]
-    ]
-  },
-
-  xai: {
-    models: ['grok-2-latest', 'grok-2-1212'],
-    parameters: {
-      temperature: [0, 0.5, 1.0, 1.5],
-      maxTokens: [100, 500, 2000, 4000],
-      topP: [0.1, 0.5, 0.9, 1.0],
-      stop: [undefined, ['STOP'], ['END', 'TERMINATE']],
-      seed: [undefined, 12345]
-    }
-  },
-
-  deepseek: {
-    models: ['deepseek-chat', 'deepseek-coder'],
-    parameters: {
-      temperature: [0, 0.5, 1.0],
-      maxTokens: [100, 1000, 4000],
-      topP: [0.1, 0.5, 0.95],
-      frequencyPenalty: [0, 0.5, 1.0],
-      presencePenalty: [0, 0.5, 1.0],
-      stop: [undefined, ['```'], ['END']]
-    }
-  },
-
-  azure: {
-    deployments: ['gpt-4-deployment', 'gpt-35-turbo-deployment'],
-    parameters: {
-      temperature: [0, 0.7, 1.0],
-      maxTokens: [100, 1000, 2000],
-      topP: [0.1, 0.5, 0.95],
-      frequencyPenalty: [0, 1.0],
-      presencePenalty: [0, 1.0],
-      stop: [undefined, ['STOP']]
-    }
-  }
-} as const
-
-/**
- * Creates test cases for all parameter combinations
- */
-export function generateParameterTestCases<T extends Record<string, any[]>>(
-  params: T,
-  maxCombinations = 50
-): Array<Partial<{ [K in keyof T]: T[K][number] }>> {
-  const keys = Object.keys(params) as Array<keyof T>
-  const testCases: Array<Partial<{ [K in keyof T]: T[K][number] }>> = []
-
-  // Generate combinations using sampling strategy for large parameter spaces
-  const totalCombinations = keys.reduce((acc, key) => acc * params[key].length, 1)
-
-  if (totalCombinations <= maxCombinations) {
-    // Generate all combinations if total is small
-    generateAllCombinations(params, keys, 0, {}, testCases)
-  } else {
-    // Sample diverse combinations if total is large
-    generateSampledCombinations(params, keys, maxCombinations, testCases)
-  }
-
-  return testCases
-}
-
-function generateAllCombinations<T extends Record<string, any[]>>(
-  params: T,
-  keys: Array<keyof T>,
-  index: number,
-  current: Partial<{ [K in keyof T]: T[K][number] }>,
-  results: Array<Partial<{ [K in keyof T]: T[K][number] }>>
-) {
-  if (index === keys.length) {
-    results.push({ ...current })
-    return
-  }
-
-  const key = keys[index]
-  for (const value of params[key]) {
-    generateAllCombinations(params, keys, index + 1, { ...current, [key]: value }, results)
-  }
-}
-
-function generateSampledCombinations<T extends Record<string, any[]>>(
-  params: T,
-  keys: Array<keyof T>,
-  count: number,
-  results: Array<Partial<{ [K in keyof T]: T[K][number] }>>
-) {
-  // Generate edge cases first (min/max values)
-  const edgeCase1: any = {}
-  const edgeCase2: any = {}
-
-  for (const key of keys) {
-    edgeCase1[key] = params[key][0]
-    edgeCase2[key] = params[key][params[key].length - 1]
-  }
-
-  results.push(edgeCase1, edgeCase2)
-
-  // Generate random combinations for the rest
-  for (let i = results.length; i < count; i++) {
-    const combination: any = {}
-    for (const key of keys) {
-      const values = params[key]
-      combination[key] = values[Math.floor(Math.random() * values.length)]
-    }
-    results.push(combination)
-  }
-}
-
-/**
- * Validates that all provider-specific parameters are correctly passed through
- */
-export function validateProviderParams(providerId: string, actualParams: any, expectedParams: any): void {
-  const requiredFields: Record<string, string[]> = {
-    openai: ['model', 'messages'],
-    anthropic: ['model', 'messages'],
-    google: ['model', 'contents'],
-    xai: ['model', 'messages'],
-    deepseek: ['model', 'messages'],
-    azure: ['messages']
-  }
-
-  const fields = requiredFields[providerId] || ['model', 'messages']
-
-  for (const field of fields) {
-    expect(actualParams).toHaveProperty(field)
-  }
-
-  // Validate optional parameters if they were provided
-  const optionalParams = ['temperature', 'max_tokens', 'top_p', 'stop', 'tools']
-
-  for (const param of optionalParams) {
-    if (expectedParams[param] !== undefined) {
-      expect(actualParams[param]).toEqual(expectedParams[param])
-    }
-  }
-}
-
-/**
- * Creates a comprehensive test suite for a provider
- */
-// oxlint-disable-next-line no-unused-vars
-export function createProviderTestSuite(_providerId: string) {
-  return {
-    testBasicCompletion: async (executor: any, model: string) => {
-      const result = await executor.generateText({
-        model,
-        messages: [{ role: 'user' as const, content: 'Hello' }]
-      })
-
-      expect(result).toBeDefined()
-      expect(result.text).toBeDefined()
-      expect(typeof result.text).toBe('string')
-    },
-
-    testStreaming: async (executor: any, model: string) => {
-      const chunks: any[] = []
-      const result = await executor.streamText({
-        model,
-        messages: [{ role: 'user' as const, content: 'Hello' }]
-      })
-
-      for await (const chunk of result.textStream) {
-        chunks.push(chunk)
-      }
-
-      expect(chunks.length).toBeGreaterThan(0)
-    },
-
-    testTemperature: async (executor: any, model: string, temperatures: number[]) => {
-      for (const temperature of temperatures) {
-        const result = await executor.generateText({
-          model,
-          messages: [{ role: 'user' as const, content: 'Hello' }],
-          temperature
-        })
-
-        expect(result).toBeDefined()
-      }
-    },
-
-    testMaxTokens: async (executor: any, model: string, maxTokensValues: number[]) => {
-      for (const maxTokens of maxTokensValues) {
-        const result = await executor.generateText({
-          model,
-          messages: [{ role: 'user' as const, content: 'Hello' }],
-          maxTokens
-        })
-
-        expect(result).toBeDefined()
-        if (result.usage?.completionTokens) {
-          expect(result.usage.completionTokens).toBeLessThanOrEqual(maxTokens)
-        }
-      }
-    },
-
-    testToolCalling: async (executor: any, model: string, tools: Record<string, Tool>) => {
-      const result = await executor.generateText({
-        model,
-        messages: [{ role: 'user' as const, content: 'What is the weather in SF?' }],
-        tools
-      })
-
-      expect(result).toBeDefined()
-    },
-
-    testStopSequences: async (executor: any, model: string, stopSequences: string[][]) => {
-      for (const stop of stopSequences) {
-        const result = await executor.generateText({
-          model,
-          messages: [{ role: 'user' as const, content: 'Count to 10' }],
-          stop
-        })
-
-        expect(result).toBeDefined()
-      }
-    }
-  }
-}
-
-/**
- * Generates test data for vision/multimodal testing
- */
-export function createVisionTestData() {
-  return {
-    imageUrl: 'https://example.com/test-image.jpg',
-    base64Image:
-      'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg==',
-    messages: [
-      {
-        role: 'user' as const,
-        content: [
-          { type: 'text' as const, text: 'What is in this image?' },
-          {
-            type: 'image' as const,
-            image:
-              'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mNk+M9QDwADhgGAWjR9awAAAABJRU5ErkJggg=='
-          }
-        ]
-      }
-    ]
-  }
-}
-
-/**
- * Creates mock responses for different finish reasons
- */
-export function createFinishReasonMocks() {
-  return {
-    stop: {
-      text: 'Complete response.',
-      finishReason: 'stop' as const,
-      usage: { promptTokens: 10, completionTokens: 5, totalTokens: 15 }
-    },
-    length: {
-      text: 'Incomplete response due to',
-      finishReason: 'length' as const,
-      usage: { promptTokens: 10, completionTokens: 100, totalTokens: 110 }
-    },
-    'tool-calls': {
-      text: 'Calling tools',
-      finishReason: 'tool-calls' as const,
-      toolCalls: [{ toolCallId: 'call_1', toolName: 'getWeather', args: { location: 'SF' } }],
-      usage: { promptTokens: 10, completionTokens: 8, totalTokens: 18 }
-    },
-    'content-filter': {
-      text: '',
-      finishReason: 'content-filter' as const,
-      usage: { promptTokens: 10, completionTokens: 0, totalTokens: 10 }
-    }
-  }
-}

packages/aiCore/src/__tests__/helpers/test-utils.ts

@@ -1,291 +0,0 @@
-/**
- * Test Utilities
- * Helper functions for testing AI Core functionality
- */
-
-import { expect, vi } from 'vitest'
-
-import type { ProviderId } from '../fixtures/mock-providers'
-import { createMockImageModel, createMockLanguageModel, mockProviderConfigs } from '../fixtures/mock-providers'
-
-/**
- * Creates a test provider with streaming support
- */
-export function createTestStreamingProvider(chunks: any[]) {
-  return createMockLanguageModel({
-    doStream: vi.fn().mockReturnValue({
-      stream: (async function* () {
-        for (const chunk of chunks) {
-          yield chunk
-        }
-      })(),
-      rawCall: { rawPrompt: null, rawSettings: {} },
-      rawResponse: { headers: {} },
-      warnings: []
-    })
-  })
-}
-
-/**
- * Creates a test provider that throws errors
- */
-export function createErrorProvider(error: Error) {
-  return createMockLanguageModel({
-    doGenerate: vi.fn().mockRejectedValue(error),
-    doStream: vi.fn().mockImplementation(() => {
-      throw error
-    })
-  })
-}
-
-/**
- * Collects all chunks from a stream
- */
-export async function collectStreamChunks<T>(stream: AsyncIterable<T>): Promise<T[]> {
-  const chunks: T[] = []
-  for await (const chunk of stream) {
-    chunks.push(chunk)
-  }
-  return chunks
-}
-
-/**
- * Waits for a specific number of milliseconds
- */
-export function wait(ms: number): Promise<void> {
-  return new Promise((resolve) => setTimeout(resolve, ms))
-}
-
-/**
- * Creates a mock abort controller that aborts after a delay
- */
-export function createDelayedAbortController(delayMs: number): AbortController {
-  const controller = new AbortController()
-  setTimeout(() => controller.abort(), delayMs)
-  return controller
-}
-
-/**
- * Asserts that a function throws an error with a specific message
- */
-export async function expectError(fn: () => Promise<any>, expectedMessage?: string | RegExp): Promise<Error> {
-  try {
-    await fn()
-    throw new Error('Expected function to throw an error, but it did not')
-  } catch (error) {
-    if (expectedMessage) {
-      const message = (error as Error).message
-      if (typeof expectedMessage === 'string') {
-        if (!message.includes(expectedMessage)) {
-          throw new Error(`Expected error message to include "${expectedMessage}", but got "${message}"`)
-        }
-      } else {
-        if (!expectedMessage.test(message)) {
-          throw new Error(`Expected error message to match ${expectedMessage}, but got "${message}"`)
-        }
-      }
-    }
-    return error as Error
-  }
-}
-
-/**
- * Creates a spy function that tracks calls and arguments
- */
-export function createSpy<T extends (...args: any[]) => any>() {
-  const calls: Array<{ args: Parameters<T>; result?: ReturnType<T>; error?: Error }> = []
-
-  const spy = vi.fn((...args: Parameters<T>) => {
-    try {
-      const result = undefined as ReturnType<T>
-      calls.push({ args, result })
-      return result
-    } catch (error) {
-      calls.push({ args, error: error as Error })
-      throw error
-    }
-  })
-
-  return {
-    fn: spy,
-    calls,
-    getCalls: () => calls,
-    getCallCount: () => calls.length,
-    getLastCall: () => calls[calls.length - 1],
-    reset: () => {
-      calls.length = 0
-      spy.mockClear()
-    }
-  }
-}
-
-/**
- * Validates provider configuration
- */
-export function validateProviderConfig(providerId: ProviderId) {
-  const config = mockProviderConfigs[providerId]
-  if (!config) {
-    throw new Error(`No mock configuration found for provider: ${providerId}`)
-  }
-
-  if (!config.apiKey) {
-    throw new Error(`Provider ${providerId} is missing apiKey in mock config`)
-  }
-
-  return config
-}
-
-/**
- * Creates a test context with common setup
- */
-export function createTestContext() {
-  const mocks = {
-    languageModel: createMockLanguageModel(),
-    imageModel: createMockImageModel(),
-    providers: new Map<string, any>()
-  }
-
-  const cleanup = () => {
-    mocks.providers.clear()
-    vi.clearAllMocks()
-  }
-
-  return {
-    mocks,
-    cleanup
-  }
-}
-
-/**
- * Measures execution time of an async function
- */
-export async function measureTime<T>(fn: () => Promise<T>): Promise<{ result: T; duration: number }> {
-  const start = Date.now()
-  const result = await fn()
-  const duration = Date.now() - start
-  return { result, duration }
-}
-
-/**
- * Retries a function until it succeeds or max attempts reached
- */
-export async function retryUntilSuccess<T>(fn: () => Promise<T>, maxAttempts = 3, delayMs = 100): Promise<T> {
-  let lastError: Error | undefined
-
-  for (let attempt = 1; attempt <= maxAttempts; attempt++) {
-    try {
-      return await fn()
-    } catch (error) {
-      lastError = error as Error
-      if (attempt < maxAttempts) {
-        await wait(delayMs)
-      }
-    }
-  }
-
-  throw lastError || new Error('All retry attempts failed')
-}
-
-/**
- * Creates a mock streaming response that emits chunks at intervals
- */
-export function createTimedStream<T>(chunks: T[], intervalMs = 10) {
-  return {
-    async *[Symbol.asyncIterator]() {
-      for (const chunk of chunks) {
-        await wait(intervalMs)
-        yield chunk
-      }
-    }
-  }
-}
-
-/**
- * Asserts that two objects are deeply equal, ignoring specified keys
- */
-export function assertDeepEqualIgnoring<T extends Record<string, any>>(
-  actual: T,
-  expected: T,
-  ignoreKeys: string[] = []
-): void {
-  const filterKeys = (obj: T): Partial<T> => {
-    const filtered = { ...obj }
-    for (const key of ignoreKeys) {
-      delete filtered[key]
-    }
-    return filtered
-  }
-
-  const filteredActual = filterKeys(actual)
-  const filteredExpected = filterKeys(expected)
-
-  expect(filteredActual).toEqual(filteredExpected)
-}
-
-/**
- * Creates a provider mock that simulates rate limiting
- */
-export function createRateLimitedProvider(limitPerSecond: number) {
-  const calls: number[] = []
-
-  return createMockLanguageModel({
-    doGenerate: vi.fn().mockImplementation(async () => {
-      const now = Date.now()
-      calls.push(now)
-
-      // Remove calls older than 1 second
-      const recentCalls = calls.filter((time) => now - time < 1000)
-
-      if (recentCalls.length > limitPerSecond) {
-        throw new Error('Rate limit exceeded')
-      }
-
-      return {
-        text: 'Rate limited response',
-        finishReason: 'stop' as const,
-        usage: { promptTokens: 10, completionTokens: 5, totalTokens: 15 },
-        rawCall: { rawPrompt: null, rawSettings: {} },
-        rawResponse: { headers: {} },
-        warnings: []
-      }
-    })
-  })
-}
-
-/**
- * Validates streaming response structure
- */
-export function validateStreamChunk(chunk: any): void {
-  expect(chunk).toBeDefined()
-  expect(chunk).toHaveProperty('type')
-
-  if (chunk.type === 'text-delta') {
-    expect(chunk).toHaveProperty('textDelta')
-    expect(typeof chunk.textDelta).toBe('string')
-  } else if (chunk.type === 'finish') {
-    expect(chunk).toHaveProperty('finishReason')
-    expect(chunk).toHaveProperty('usage')
-  } else if (chunk.type === 'tool-call') {
-    expect(chunk).toHaveProperty('toolCallId')
-    expect(chunk).toHaveProperty('toolName')
-    expect(chunk).toHaveProperty('args')
-  }
-}
-
-/**
- * Creates a test logger that captures log messages
- */
-export function createTestLogger() {
-  const logs: Array<{ level: string; message: string; meta?: any }> = []
-
-  return {
-    info: (message: string, meta?: any) => logs.push({ level: 'info', message, meta }),
-    warn: (message: string, meta?: any) => logs.push({ level: 'warn', message, meta }),
-    error: (message: string, meta?: any) => logs.push({ level: 'error', message, meta }),
-    debug: (message: string, meta?: any) => logs.push({ level: 'debug', message, meta }),
-    getLogs: () => logs,
-    clear: () => {
-      logs.length = 0
-    }
-  }
-}

packages/aiCore/src/__tests__/index.ts

@@ -1,12 +0,0 @@
-/**
- * Test Infrastructure Exports
- * Central export point for all test utilities, fixtures, and helpers
- */
-
-// Fixtures
-export * from './fixtures/mock-providers'
-export * from './fixtures/mock-responses'
-
-// Helpers
-export * from './helpers/provider-test-utils'
-export * from './helpers/test-utils'

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 type { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { 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 type { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { 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 type { LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { 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 type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { 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 type { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { LanguageModelV2Middleware } from '@ai-sdk/provider'
 
 import type { ProviderId, ProviderSettingsMap } from '../providers/types'
 

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

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

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

@@ -4,7 +4,12 @@
  */
 export const BUILT_IN_PLUGIN_PREFIX = 'built-in:'
 
-export * from './googleToolsPlugin'
-export * from './toolUsePlugin/promptToolUsePlugin'
-export * from './toolUsePlugin/type'
-export * from './webSearchPlugin'
+export { googleToolsPlugin } from './googleToolsPlugin'
+export { createLoggingPlugin } from './logging'
+export { createPromptToolUsePlugin } from './toolUsePlugin/promptToolUsePlugin'
+export type {
+  PromptToolUseConfig,
+  ToolUseRequestContext,
+  ToolUseResult
+} from './toolUsePlugin/type'
+export { webSearchPlugin, type WebSearchPluginConfig } from './webSearchPlugin'

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

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

@@ -1,12 +1,10 @@
 import { anthropic } from '@ai-sdk/anthropic'
 import { google } from '@ai-sdk/google'
 import { openai } from '@ai-sdk/openai'
-import type { InferToolInput, InferToolOutput } from 'ai'
-import { type Tool } from 'ai'
+import { InferToolInput, InferToolOutput, type Tool } from 'ai'
 
-import { createOpenRouterOptions, createXaiOptions, mergeProviderOptions } from '../../../options'
-import type { ProviderOptionsMap } from '../../../options/types'
-import type { OpenRouterSearchConfig } from './openrouter'
+import { ProviderOptionsMap } from '../../../options/types'
+import { 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。
@@ -96,56 +94,3 @@ export type WebSearchToolInputSchema = {
   google: InferToolInput<GoogleWebSearchTool>
   'openai-chat': InferToolInput<OpenAIChatWebSearchTool>
 }
-
-export const switchWebSearchTool = (providerId: string, config: WebSearchPluginConfig, params: any) => {
-  switch (providerId) {
-    case 'openai': {
-      if (config.openai) {
-        if (!params.tools) params.tools = {}
-        params.tools.web_search = openai.tools.webSearch(config.openai)
-      }
-      break
-    }
-    case 'openai-chat': {
-      if (config['openai-chat']) {
-        if (!params.tools) params.tools = {}
-        params.tools.web_search_preview = openai.tools.webSearchPreview(config['openai-chat'])
-      }
-      break
-    }
-
-    case 'anthropic': {
-      if (config.anthropic) {
-        if (!params.tools) params.tools = {}
-        params.tools.web_search = anthropic.tools.webSearch_20250305(config.anthropic)
-      }
-      break
-    }
-
-    case 'google': {
-      // case 'google-vertex':
-      if (!params.tools) params.tools = {}
-      params.tools.web_search = google.tools.googleSearch(config.google || {})
-      break
-    }
-
-    case 'xai': {
-      if (config.xai) {
-        const searchOptions = createXaiOptions({
-          searchParameters: { ...config.xai, mode: 'on' }
-        })
-        params.providerOptions = mergeProviderOptions(params.providerOptions, searchOptions)
-      }
-      break
-    }
-
-    case 'openrouter': {
-      if (config.openrouter) {
-        const searchOptions = createOpenRouterOptions(config.openrouter)
-        params.providerOptions = mergeProviderOptions(params.providerOptions, searchOptions)
-      }
-      break
-    }
-  }
-  return params
-}

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

@@ -2,11 +2,14 @@
  * Web Search Plugin
  * 提供统一的网络搜索能力，支持多个 AI Provider
  */
+import { anthropic } from '@ai-sdk/anthropic'
+import { google } from '@ai-sdk/google'
+import { openai } from '@ai-sdk/openai'
 
+import { createOpenRouterOptions, createXaiOptions, mergeProviderOptions } from '../../../options'
 import { definePlugin } from '../../'
 import type { AiRequestContext } from '../../types'
-import type { WebSearchPluginConfig } from './helper'
-import { DEFAULT_WEB_SEARCH_CONFIG, switchWebSearchTool } from './helper'
+import { DEFAULT_WEB_SEARCH_CONFIG, WebSearchPluginConfig } from './helper'
 
 /**
  * 网络搜索插件
@@ -20,19 +23,62 @@ export const webSearchPlugin = (config: WebSearchPluginConfig = DEFAULT_WEB_SEAR
 
     transformParams: async (params: any, context: AiRequestContext) => {
       const { providerId } = context
-      switchWebSearchTool(providerId, config, params)
+      switch (providerId) {
+        case 'openai': {
+          if (config.openai) {
+            if (!params.tools) params.tools = {}
+            params.tools.web_search = openai.tools.webSearch(config.openai)
+          }
+          break
+        }
+        case 'openai-chat': {
+          if (config['openai-chat']) {
+            if (!params.tools) params.tools = {}
+            params.tools.web_search_preview = openai.tools.webSearchPreview(config['openai-chat'])
+          }
+          break
+        }
 
-      if (providerId === 'cherryin' || providerId === 'cherryin-chat') {
-        // cherryin.gemini
-        const _providerId = params.model.provider.split('.')[1]
-        switchWebSearchTool(_providerId, config, params)
+        case 'anthropic': {
+          if (config.anthropic) {
+            if (!params.tools) params.tools = {}
+            params.tools.web_search = anthropic.tools.webSearch_20250305(config.anthropic)
+          }
+          break
+        }
+
+        case 'google': {
+          // case 'google-vertex':
+          if (!params.tools) params.tools = {}
+          params.tools.web_search = google.tools.googleSearch(config.google || {})
+          break
+        }
+
+        case 'xai': {
+          if (config.xai) {
+            const searchOptions = createXaiOptions({
+              searchParameters: { ...config.xai, mode: 'on' }
+            })
+            params.providerOptions = mergeProviderOptions(params.providerOptions, searchOptions)
+          }
+          break
+        }
+
+        case 'openrouter': {
+          if (config.openrouter) {
+            const searchOptions = createOpenRouterOptions(config.openrouter)
+            params.providerOptions = mergeProviderOptions(params.providerOptions, searchOptions)
+          }
+          break
+        }
       }
+
       return params
     }
   })
 
 // 导出类型定义供开发者使用
-export * from './helper'
+export type { WebSearchPluginConfig, WebSearchToolOutputSchema } from './helper'
 
 // 默认导出
 export default webSearchPlugin

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

@@ -1,4 +1,4 @@
-import type { AiPlugin, AiRequestContext } from './types'
+import { 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 type { ProviderV2 } from '@ai-sdk/provider'
+import { 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 type { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
+import { EmbeddingModelV2, ImageModelV2, LanguageModelV2, ProviderV2 } from '@ai-sdk/provider'
 import { createProviderRegistry, type ProviderRegistryProvider } from 'ai'
 
 type PROVIDERS = Record<string, ProviderV2>

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

@@ -44,7 +44,7 @@ export {
 // ==================== 基础数据和类型 ====================
 
 // 基础Provider数据源
-export { baseProviderIds, baseProviders, isBaseProvider } from './schemas'
+export { baseProviderIds, baseProviders } from './schemas'
 
 // 类型定义和Schema
 export type {

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

@@ -9,12 +9,10 @@ import { createDeepSeek } from '@ai-sdk/deepseek'
 import { createGoogleGenerativeAI } from '@ai-sdk/google'
 import { createOpenAI, type OpenAIProviderSettings } from '@ai-sdk/openai'
 import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
-import type { LanguageModelV2 } from '@ai-sdk/provider'
+import { LanguageModelV2 } from '@ai-sdk/provider'
 import { createXai } from '@ai-sdk/xai'
-import { type CherryInProviderSettings, createCherryIn } from '@cherrystudio/ai-sdk-provider'
 import { createOpenRouter } from '@openrouter/ai-sdk-provider'
-import type { Provider } from 'ai'
-import { customProvider } from 'ai'
+import { customProvider, Provider } from 'ai'
 import * as z from 'zod'
 
 /**
@@ -30,9 +28,7 @@ export const baseProviderIds = [
   'azure',
   'azure-responses',
   'deepseek',
-  'openrouter',
-  'cherryin',
-  'cherryin-chat'
+  'openrouter'
 ] as const
 
 /**
@@ -136,26 +132,6 @@ export const baseProviders = [
     name: 'OpenRouter',
     creator: createOpenRouter,
     supportsImageGeneration: true
-  },
-  {
-    id: 'cherryin',
-    name: 'CherryIN',
-    creator: createCherryIn,
-    supportsImageGeneration: true
-  },
-  {
-    id: 'cherryin-chat',
-    name: 'CherryIN Chat',
-    creator: (options: CherryInProviderSettings) => {
-      const provider = createCherryIn(options)
-      return customProvider({
-        fallbackProvider: {
-          ...provider,
-          languageModel: (modelId: string) => provider.chat(modelId)
-        }
-      })
-    },
-    supportsImageGeneration: true
   }
 ] as const satisfies BaseProvider[]
 

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 type {
+import {
   EmbeddingModelV2 as EmbeddingModel,
   ImageModelV2 as ImageModel,
   LanguageModelV2 as LanguageModel,

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

@@ -1,4 +1,4 @@
-import type { ImageModelV2 } from '@ai-sdk/provider'
+import { 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/__tests__/generateText.test.ts

@@ -1,499 +0,0 @@
-/**
- * RuntimeExecutor.generateText Comprehensive Tests
- * Tests non-streaming text generation across all providers with various parameters
- */
-
-import { generateText } from 'ai'
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-import {
-  createMockLanguageModel,
-  mockCompleteResponses,
-  mockProviderConfigs,
-  testMessages,
-  testTools
-} from '../../../__tests__'
-import type { AiPlugin } from '../../plugins'
-import { globalRegistryManagement } from '../../providers/RegistryManagement'
-import { RuntimeExecutor } from '../executor'
-
-// Mock AI SDK
-vi.mock('ai', () => ({
-  generateText: vi.fn()
-}))
-
-vi.mock('../../providers/RegistryManagement', () => ({
-  globalRegistryManagement: {
-    languageModel: vi.fn()
-  },
-  DEFAULT_SEPARATOR: '|'
-}))
-
-describe('RuntimeExecutor.generateText', () => {
-  let executor: RuntimeExecutor<'openai'>
-  let mockLanguageModel: any
-
-  beforeEach(() => {
-    vi.clearAllMocks()
-
-    executor = RuntimeExecutor.create('openai', mockProviderConfigs.openai)
-
-    mockLanguageModel = createMockLanguageModel({
-      provider: 'openai',
-      modelId: 'gpt-4'
-    })
-
-    vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(mockLanguageModel)
-    vi.mocked(generateText).mockResolvedValue(mockCompleteResponses.simple as any)
-  })
-
-  describe('Basic Functionality', () => {
-    it('should generate text with minimal parameters', async () => {
-      const result = await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      expect(generateText).toHaveBeenCalledWith({
-        model: mockLanguageModel,
-        messages: testMessages.simple
-      })
-
-      expect(result.text).toBe('This is a simple response.')
-      expect(result.finishReason).toBe('stop')
-      expect(result.usage).toBeDefined()
-    })
-
-    it('should generate with system messages', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.withSystem
-      })
-
-      expect(generateText).toHaveBeenCalledWith({
-        model: mockLanguageModel,
-        messages: testMessages.withSystem
-      })
-    })
-
-    it('should generate with conversation history', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.conversation
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          messages: testMessages.conversation
-        })
-      )
-    })
-  })
-
-  describe('All Parameter Combinations', () => {
-    it('should support all parameters together', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        temperature: 0.7,
-        maxOutputTokens: 500,
-        topP: 0.9,
-        frequencyPenalty: 0.5,
-        presencePenalty: 0.3,
-        stopSequences: ['STOP'],
-        seed: 12345
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature: 0.7,
-          maxOutputTokens: 500,
-          topP: 0.9,
-          frequencyPenalty: 0.5,
-          presencePenalty: 0.3,
-          stopSequences: ['STOP'],
-          seed: 12345
-        })
-      )
-    })
-
-    it('should support partial parameters', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        temperature: 0.5,
-        maxOutputTokens: 100
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature: 0.5,
-          maxOutputTokens: 100
-        })
-      )
-    })
-  })
-
-  describe('Tool Calling', () => {
-    beforeEach(() => {
-      vi.mocked(generateText).mockResolvedValue(mockCompleteResponses.withToolCalls as any)
-    })
-
-    it('should support tool calling', async () => {
-      const result = await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.toolUse,
-        tools: testTools
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          tools: testTools
-        })
-      )
-
-      expect(result.toolCalls).toBeDefined()
-      expect(result.toolCalls).toHaveLength(1)
-    })
-
-    it('should support toolChoice auto', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.toolUse,
-        tools: testTools,
-        toolChoice: 'auto'
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          toolChoice: 'auto'
-        })
-      )
-    })
-
-    it('should support toolChoice required', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.toolUse,
-        tools: testTools,
-        toolChoice: 'required'
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          toolChoice: 'required'
-        })
-      )
-    })
-
-    it('should support toolChoice none', async () => {
-      vi.mocked(generateText).mockResolvedValue(mockCompleteResponses.simple as any)
-
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        tools: testTools,
-        toolChoice: 'none'
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          toolChoice: 'none'
-        })
-      )
-    })
-
-    it('should support specific tool selection', async () => {
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.toolUse,
-        tools: testTools,
-        toolChoice: {
-          type: 'tool',
-          toolName: 'getWeather'
-        }
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          toolChoice: {
-            type: 'tool',
-            toolName: 'getWeather'
-          }
-        })
-      )
-    })
-  })
-
-  describe('Multiple Providers', () => {
-    it('should work with Anthropic provider', async () => {
-      const anthropicExecutor = RuntimeExecutor.create('anthropic', mockProviderConfigs.anthropic)
-
-      const anthropicModel = createMockLanguageModel({
-        provider: 'anthropic',
-        modelId: 'claude-3-5-sonnet-20241022'
-      })
-
-      vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(anthropicModel)
-
-      await anthropicExecutor.generateText({
-        model: 'claude-3-5-sonnet-20241022',
-        messages: testMessages.simple
-      })
-
-      expect(globalRegistryManagement.languageModel).toHaveBeenCalledWith('anthropic|claude-3-5-sonnet-20241022')
-    })
-
-    it('should work with Google provider', async () => {
-      const googleExecutor = RuntimeExecutor.create('google', mockProviderConfigs.google)
-
-      const googleModel = createMockLanguageModel({
-        provider: 'google',
-        modelId: 'gemini-2.0-flash-exp'
-      })
-
-      vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(googleModel)
-
-      await googleExecutor.generateText({
-        model: 'gemini-2.0-flash-exp',
-        messages: testMessages.simple
-      })
-
-      expect(globalRegistryManagement.languageModel).toHaveBeenCalledWith('google|gemini-2.0-flash-exp')
-    })
-
-    it('should work with xAI provider', async () => {
-      const xaiExecutor = RuntimeExecutor.create('xai', mockProviderConfigs.xai)
-
-      const xaiModel = createMockLanguageModel({
-        provider: 'xai',
-        modelId: 'grok-2-latest'
-      })
-
-      vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(xaiModel)
-
-      await xaiExecutor.generateText({
-        model: 'grok-2-latest',
-        messages: testMessages.simple
-      })
-
-      expect(globalRegistryManagement.languageModel).toHaveBeenCalledWith('xai|grok-2-latest')
-    })
-
-    it('should work with DeepSeek provider', async () => {
-      const deepseekExecutor = RuntimeExecutor.create('deepseek', mockProviderConfigs.deepseek)
-
-      const deepseekModel = createMockLanguageModel({
-        provider: 'deepseek',
-        modelId: 'deepseek-chat'
-      })
-
-      vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(deepseekModel)
-
-      await deepseekExecutor.generateText({
-        model: 'deepseek-chat',
-        messages: testMessages.simple
-      })
-
-      expect(globalRegistryManagement.languageModel).toHaveBeenCalledWith('deepseek|deepseek-chat')
-    })
-  })
-
-  describe('Plugin Integration', () => {
-    it('should execute all plugin hooks', async () => {
-      const pluginCalls: string[] = []
-
-      const testPlugin: AiPlugin = {
-        name: 'test-plugin',
-        onRequestStart: vi.fn(async () => {
-          pluginCalls.push('onRequestStart')
-        }),
-        transformParams: vi.fn(async (params) => {
-          pluginCalls.push('transformParams')
-          return { ...params, temperature: 0.8 }
-        }),
-        transformResult: vi.fn(async (result) => {
-          pluginCalls.push('transformResult')
-          return { ...result, text: result.text + ' [modified]' }
-        }),
-        onRequestEnd: vi.fn(async () => {
-          pluginCalls.push('onRequestEnd')
-        })
-      }
-
-      const executorWithPlugin = RuntimeExecutor.create('openai', mockProviderConfigs.openai, [testPlugin])
-
-      const result = await executorWithPlugin.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      expect(pluginCalls).toEqual(['onRequestStart', 'transformParams', 'transformResult', 'onRequestEnd'])
-
-      // Verify transformed parameters
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature: 0.8
-        })
-      )
-
-      // Verify transformed result
-      expect(result.text).toContain('[modified]')
-    })
-
-    it('should handle multiple plugins in order', async () => {
-      const pluginOrder: string[] = []
-
-      const plugin1: AiPlugin = {
-        name: 'plugin-1',
-        transformParams: vi.fn(async (params) => {
-          pluginOrder.push('plugin-1')
-          return { ...params, temperature: 0.5 }
-        })
-      }
-
-      const plugin2: AiPlugin = {
-        name: 'plugin-2',
-        transformParams: vi.fn(async (params) => {
-          pluginOrder.push('plugin-2')
-          return { ...params, maxTokens: 200 }
-        })
-      }
-
-      const executorWithPlugins = RuntimeExecutor.create('openai', mockProviderConfigs.openai, [plugin1, plugin2])
-
-      await executorWithPlugins.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      expect(pluginOrder).toEqual(['plugin-1', 'plugin-2'])
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature: 0.5,
-          maxTokens: 200
-        })
-      )
-    })
-  })
-
-  describe('Error Handling', () => {
-    it('should handle API errors', async () => {
-      const error = new Error('API request failed')
-      vi.mocked(generateText).mockRejectedValue(error)
-
-      await expect(
-        executor.generateText({
-          model: 'gpt-4',
-          messages: testMessages.simple
-        })
-      ).rejects.toThrow('API request failed')
-    })
-
-    it('should execute onError plugin hook', async () => {
-      const error = new Error('Generation failed')
-      vi.mocked(generateText).mockRejectedValue(error)
-
-      const errorPlugin: AiPlugin = {
-        name: 'error-handler',
-        onError: vi.fn()
-      }
-
-      const executorWithPlugin = RuntimeExecutor.create('openai', mockProviderConfigs.openai, [errorPlugin])
-
-      await expect(
-        executorWithPlugin.generateText({
-          model: 'gpt-4',
-          messages: testMessages.simple
-        })
-      ).rejects.toThrow('Generation failed')
-
-      expect(errorPlugin.onError).toHaveBeenCalledWith(
-        error,
-        expect.objectContaining({
-          providerId: 'openai',
-          modelId: 'gpt-4'
-        })
-      )
-    })
-
-    it('should handle model not found error', async () => {
-      const error = new Error('Model not found: invalid-model')
-      vi.mocked(globalRegistryManagement.languageModel).mockImplementation(() => {
-        throw error
-      })
-
-      await expect(
-        executor.generateText({
-          model: 'invalid-model',
-          messages: testMessages.simple
-        })
-      ).rejects.toThrow('Model not found')
-    })
-  })
-
-  describe('Usage and Metadata', () => {
-    it('should return usage information', async () => {
-      const result = await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      expect(result.usage).toBeDefined()
-      expect(result.usage.inputTokens).toBe(15)
-      expect(result.usage.outputTokens).toBe(8)
-      expect(result.usage.totalTokens).toBe(23)
-    })
-
-    it('should handle warnings', async () => {
-      vi.mocked(generateText).mockResolvedValue(mockCompleteResponses.withWarnings as any)
-
-      const result = await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        temperature: 2.5 // Unsupported value
-      })
-
-      expect(result.warnings).toBeDefined()
-      expect(result.warnings).toHaveLength(1)
-      expect(result.warnings![0].type).toBe('unsupported-setting')
-    })
-  })
-
-  describe('Abort Signal', () => {
-    it('should support abort signal', async () => {
-      const abortController = new AbortController()
-
-      await executor.generateText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        abortSignal: abortController.signal
-      })
-
-      expect(generateText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          abortSignal: abortController.signal
-        })
-      )
-    })
-
-    it('should handle aborted request', async () => {
-      const abortError = new Error('Request aborted')
-      abortError.name = 'AbortError'
-
-      vi.mocked(generateText).mockRejectedValue(abortError)
-
-      const abortController = new AbortController()
-      abortController.abort()
-
-      await expect(
-        executor.generateText({
-          model: 'gpt-4',
-          messages: testMessages.simple,
-          abortSignal: abortController.signal
-        })
-      ).rejects.toThrow('Request aborted')
-    })
-  })
-})

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

@@ -1,525 +0,0 @@
-/**
- * RuntimeExecutor.streamText Comprehensive Tests
- * Tests streaming text generation across all providers with various parameters
- */
-
-import { streamText } from 'ai'
-import { beforeEach, describe, expect, it, vi } from 'vitest'
-
-import { collectStreamChunks, createMockLanguageModel, mockProviderConfigs, testMessages } from '../../../__tests__'
-import type { AiPlugin } from '../../plugins'
-import { globalRegistryManagement } from '../../providers/RegistryManagement'
-import { RuntimeExecutor } from '../executor'
-
-// Mock AI SDK
-vi.mock('ai', () => ({
-  streamText: vi.fn()
-}))
-
-vi.mock('../../providers/RegistryManagement', () => ({
-  globalRegistryManagement: {
-    languageModel: vi.fn()
-  },
-  DEFAULT_SEPARATOR: '|'
-}))
-
-describe('RuntimeExecutor.streamText', () => {
-  let executor: RuntimeExecutor<'openai'>
-  let mockLanguageModel: any
-
-  beforeEach(() => {
-    vi.clearAllMocks()
-
-    executor = RuntimeExecutor.create('openai', mockProviderConfigs.openai)
-
-    mockLanguageModel = createMockLanguageModel({
-      provider: 'openai',
-      modelId: 'gpt-4'
-    })
-
-    vi.mocked(globalRegistryManagement.languageModel).mockReturnValue(mockLanguageModel)
-  })
-
-  describe('Basic Functionality', () => {
-    it('should stream text with minimal parameters', async () => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Hello'
-          yield ' '
-          yield 'World'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Hello' }
-          yield { type: 'text-delta', textDelta: ' ' }
-          yield { type: 'text-delta', textDelta: 'World' }
-        })(),
-        usage: Promise.resolve({ promptTokens: 5, completionTokens: 3, totalTokens: 8 })
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      const result = await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      expect(streamText).toHaveBeenCalledWith({
-        model: mockLanguageModel,
-        messages: testMessages.simple
-      })
-
-      const chunks = await collectStreamChunks(result.textStream)
-      expect(chunks).toEqual(['Hello', ' ', 'World'])
-    })
-
-    it('should stream with system messages', async () => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.withSystem
-      })
-
-      expect(streamText).toHaveBeenCalledWith({
-        model: mockLanguageModel,
-        messages: testMessages.withSystem
-      })
-    })
-
-    it('should stream multi-turn conversations', async () => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Multi-turn response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Multi-turn response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.multiTurn
-      })
-
-      expect(streamText).toHaveBeenCalled()
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          messages: testMessages.multiTurn
-        })
-      )
-    })
-  })
-
-  describe('Temperature Parameter', () => {
-    const temperatures = [0, 0.3, 0.5, 0.7, 0.9, 1.0, 1.5, 2.0]
-
-    it.each(temperatures)('should support temperature=%s', async (temperature) => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        temperature
-      })
-
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature
-        })
-      )
-    })
-  })
-
-  describe('Max Tokens Parameter', () => {
-    const maxTokensValues = [10, 50, 100, 500, 1000, 2000, 4000]
-
-    it.each(maxTokensValues)('should support maxTokens=%s', async (maxTokens) => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        maxOutputTokens: maxTokens
-      })
-
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          maxTokens
-        })
-      )
-    })
-  })
-
-  describe('Top P Parameter', () => {
-    const topPValues = [0.1, 0.3, 0.5, 0.7, 0.9, 0.95, 1.0]
-
-    it.each(topPValues)('should support topP=%s', async (topP) => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        topP
-      })
-
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          topP
-        })
-      )
-    })
-  })
-
-  describe('Frequency and Presence Penalty', () => {
-    it('should support frequency penalty', async () => {
-      const penalties = [-2.0, -1.0, 0, 0.5, 1.0, 1.5, 2.0]
-
-      for (const frequencyPenalty of penalties) {
-        vi.clearAllMocks()
-
-        const mockStream = {
-          textStream: (async function* () {
-            yield 'Response'
-          })(),
-          fullStream: (async function* () {
-            yield { type: 'text-delta', textDelta: 'Response' }
-          })()
-        }
-
-        vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-        await executor.streamText({
-          model: 'gpt-4',
-          messages: testMessages.simple,
-          frequencyPenalty
-        })
-
-        expect(streamText).toHaveBeenCalledWith(
-          expect.objectContaining({
-            frequencyPenalty
-          })
-        )
-      }
-    })
-
-    it('should support presence penalty', async () => {
-      const penalties = [-2.0, -1.0, 0, 0.5, 1.0, 1.5, 2.0]
-
-      for (const presencePenalty of penalties) {
-        vi.clearAllMocks()
-
-        const mockStream = {
-          textStream: (async function* () {
-            yield 'Response'
-          })(),
-          fullStream: (async function* () {
-            yield { type: 'text-delta', textDelta: 'Response' }
-          })()
-        }
-
-        vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-        await executor.streamText({
-          model: 'gpt-4',
-          messages: testMessages.simple,
-          presencePenalty
-        })
-
-        expect(streamText).toHaveBeenCalledWith(
-          expect.objectContaining({
-            presencePenalty
-          })
-        )
-      }
-    })
-
-    it('should support both penalties together', async () => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        frequencyPenalty: 0.5,
-        presencePenalty: 0.5
-      })
-
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          frequencyPenalty: 0.5,
-          presencePenalty: 0.5
-        })
-      )
-    })
-  })
-
-  describe('Seed Parameter', () => {
-    it('should support seed for deterministic output', async () => {
-      const seeds = [0, 12345, 67890, 999999]
-
-      for (const seed of seeds) {
-        vi.clearAllMocks()
-
-        const mockStream = {
-          textStream: (async function* () {
-            yield 'Response'
-          })(),
-          fullStream: (async function* () {
-            yield { type: 'text-delta', textDelta: 'Response' }
-          })()
-        }
-
-        vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-        await executor.streamText({
-          model: 'gpt-4',
-          messages: testMessages.simple,
-          seed
-        })
-
-        expect(streamText).toHaveBeenCalledWith(
-          expect.objectContaining({
-            seed
-          })
-        )
-      }
-    })
-  })
-
-  describe('Abort Signal', () => {
-    it('should support abort signal', async () => {
-      const abortController = new AbortController()
-
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        abortSignal: abortController.signal
-      })
-
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          abortSignal: abortController.signal
-        })
-      )
-    })
-
-    it('should handle abort during streaming', async () => {
-      const abortController = new AbortController()
-
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Start'
-          // Simulate abort
-          abortController.abort()
-          throw new Error('Aborted')
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Start' }
-          throw new Error('Aborted')
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      const result = await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple,
-        abortSignal: abortController.signal
-      })
-
-      await expect(async () => {
-        // oxlint-disable-next-line no-unused-vars
-        for await (const _chunk of result.textStream) {
-          // Stream should be interrupted
-        }
-      }).rejects.toThrow('Aborted')
-    })
-  })
-
-  describe('Plugin Integration', () => {
-    it('should execute plugins during streaming', async () => {
-      const pluginCalls: string[] = []
-
-      const testPlugin: AiPlugin = {
-        name: 'test-plugin',
-        onRequestStart: vi.fn(async () => {
-          pluginCalls.push('onRequestStart')
-        }),
-        transformParams: vi.fn(async (params) => {
-          pluginCalls.push('transformParams')
-          return { ...params, temperature: 0.5 }
-        }),
-        onRequestEnd: vi.fn(async () => {
-          pluginCalls.push('onRequestEnd')
-        })
-      }
-
-      const executorWithPlugin = RuntimeExecutor.create('openai', mockProviderConfigs.openai, [testPlugin])
-
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      const result = await executorWithPlugin.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      // Consume stream
-      // oxlint-disable-next-line no-unused-vars
-      for await (const _chunk of result.textStream) {
-        // Stream chunks
-      }
-
-      expect(pluginCalls).toContain('onRequestStart')
-      expect(pluginCalls).toContain('transformParams')
-
-      // Verify transformed parameters were used
-      expect(streamText).toHaveBeenCalledWith(
-        expect.objectContaining({
-          temperature: 0.5
-        })
-      )
-    })
-  })
-
-  describe('Full Stream with Finish Reason', () => {
-    it('should provide finish reason in full stream', async () => {
-      const mockStream = {
-        textStream: (async function* () {
-          yield 'Response'
-        })(),
-        fullStream: (async function* () {
-          yield { type: 'text-delta', textDelta: 'Response' }
-          yield {
-            type: 'finish',
-            finishReason: 'stop',
-            usage: { promptTokens: 5, completionTokens: 3, totalTokens: 8 }
-          }
-        })()
-      }
-
-      vi.mocked(streamText).mockResolvedValue(mockStream as any)
-
-      const result = await executor.streamText({
-        model: 'gpt-4',
-        messages: testMessages.simple
-      })
-
-      const fullChunks = await collectStreamChunks(result.fullStream)
-
-      expect(fullChunks).toHaveLength(2)
-      expect(fullChunks[0]).toEqual({ type: 'text-delta', textDelta: 'Response' })
-      expect(fullChunks[1]).toEqual({
-        type: 'finish',
-        finishReason: 'stop',
-        usage: { promptTokens: 5, completionTokens: 3, totalTokens: 8 }
-      })
-    })
-  })
-
-  describe('Error Handling', () => {
-    it('should handle streaming errors', async () => {
-      const error = new Error('Streaming failed')
-      vi.mocked(streamText).mockRejectedValue(error)
-
-      await expect(
-        executor.streamText({
-          model: 'gpt-4',
-          messages: testMessages.simple
-        })
-      ).rejects.toThrow('Streaming failed')
-    })
-
-    it('should execute onError plugin hook on failure', async () => {
-      const error = new Error('Stream error')
-      vi.mocked(streamText).mockRejectedValue(error)
-
-      const errorPlugin: AiPlugin = {
-        name: 'error-handler',
-        onError: vi.fn()
-      }
-
-      const executorWithPlugin = RuntimeExecutor.create('openai', mockProviderConfigs.openai, [errorPlugin])
-
-      await expect(
-        executorWithPlugin.streamText({
-          model: 'gpt-4',
-          messages: testMessages.simple
-        })
-      ).rejects.toThrow('Stream error')
-
-      expect(errorPlugin.onError).toHaveBeenCalledWith(
-        error,
-        expect.objectContaining({
-          providerId: 'openai',
-          modelId: 'gpt-4'
-        })
-      )
-    })
-  })
-})

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 type { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
-import type { LanguageModel } from 'ai'
+import { ImageModelV2, LanguageModelV2, LanguageModelV2Middleware } from '@ai-sdk/provider'
 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 type { LanguageModelV2Middleware } from '@ai-sdk/provider'
+import { 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

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

@@ -1,5 +1,4 @@
-import type { Node } from '@tiptap/core'
-import { Extension } from '@tiptap/core'
+import { Extension, Node } 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 type { ReadableSpan } from '@opentelemetry/sdk-trace-base'
+import { ReadableSpan } from '@opentelemetry/sdk-trace-base'
 
-import type { SpanEntity } from '../types/config'
+import { SpanEntity } from '../types/config'
 
 /**
  * convert ReadableSpan to SpanEntity

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

packages/shared/IpcChannel.ts

@@ -41,7 +41,6 @@ export enum IpcChannel {
   App_SetFullScreen = 'app:set-full-screen',
   App_IsFullScreen = 'app:is-full-screen',
   App_GetSystemFonts = 'app:get-system-fonts',
-  APP_CrashRenderProcess = 'app:crash-render-process',
 
   App_MacIsProcessTrusted = 'app:mac-is-process-trusted',
   App_MacRequestProcessTrust = 'app:mac-request-process-trust',
@@ -97,10 +96,6 @@ 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',
@@ -143,7 +138,6 @@ export enum IpcChannel {
   Windows_Close = 'window:close',
   Windows_IsMaximized = 'window:is-maximized',
   Windows_MaximizedChanged = 'window:maximized-changed',
-  Windows_NavigateToAbout = 'window:navigate-to-about',
 
   KnowledgeBase_Create = 'knowledge-base:create',
   KnowledgeBase_Reset = 'knowledge-base:reset',
@@ -190,7 +184,6 @@ export enum IpcChannel {
   Fs_ReadText = 'fs:readText',
   File_OpenWithRelativePath = 'file:openWithRelativePath',
   File_IsTextFile = 'file:isTextFile',
-  File_ListDirectory = 'file:listDirectory',
   File_GetDirectoryStructure = 'file:getDirectoryStructure',
   File_CheckFileName = 'file:checkFileName',
   File_ValidateNotesDirectory = 'file:validateNotesDirectory',
@@ -235,7 +228,6 @@ export enum IpcChannel {
   System_GetDeviceType = 'system:getDeviceType',
   System_GetHostname = 'system:getHostname',
   System_GetCpuName = 'system:getCpuName',
-  System_CheckGitBash = 'system:checkGitBash',
 
   // DevTools
   System_ToggleDevTools = 'system:toggleDevTools',
@@ -325,7 +317,6 @@ 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',
 
@@ -358,21 +349,5 @@ export enum IpcChannel {
   Ovms_StopOVMS = 'ovms:stop-ovms',
 
   // CherryAI
-  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'
+  Cherryai_GetSignature = 'cherryai:get-signature'
 }

packages/shared/anthropic/index.ts

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

packages/shared/config/constant.ts

@@ -197,22 +197,12 @@ export enum FeedUrl {
   GITHUB_LATEST = 'https://github.com/CherryHQ/cherry-studio/releases/latest/download'
 }
 
-export enum UpdateConfigUrl {
-  GITHUB = 'https://raw.githubusercontent.com/CherryHQ/cherry-studio/refs/heads/x-files/app-upgrade-config/app-upgrade-config.json',
-  GITCODE = 'https://raw.gitcode.com/CherryHQ/cherry-studio/raw/x-files%2Fapp-upgrade-config/app-upgrade-config.json'
-}
-
 export enum UpgradeChannel {
   LATEST = 'latest', // 最新稳定版本
   RC = 'rc', // 公测版本
   BETA = 'beta' // 预览版本
 }
 
-export enum UpdateMirror {
-  GITHUB = 'github',
-  GITCODE = 'gitcode'
-}
-
 export const defaultTimeout = 10 * 1000 * 60
 
 export const occupiedDirs = ['logs', 'Network', 'Partitions/webview/Network']
@@ -480,6 +470,3 @@ export const MACOS_TERMINALS_WITH_COMMANDS: TerminalConfigWithCommand[] = [
     })
   }
 ]
-
-// resources/scripts should be maintained manually
-export const HOME_CHERRY_DIR = '.cherrystudio'

packages/shared/config/types.ts

@@ -1,4 +1,4 @@
-import type { ProcessingStatus } from '@types'
+import { ProcessingStatus } from '@types'
 
 export type LoaderReturn = {
   entriesAdded: number
@@ -31,16 +31,3 @@ 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
-}

packages/shared/utils.ts

@@ -4,34 +4,3 @@ export const defaultAppHeaders = () => {
     'X-Title': 'Cherry Studio'
   }
 }
-
-// Following two function are not being used for now.
-// I may use them in the future, so just keep them commented. - by eurfelux
-
-/**
- * Converts an `undefined` value to `null`, otherwise returns the value as-is.
- * @param value - The value to check
- * @returns `null` if the input is `undefined`; otherwise the input value
- */
-
-// export function toNullIfUndefined<T>(value: T | undefined): T | null {
-//   if (value === undefined) {
-//     return null
-//   } else {
-//     return value
-//   }
-// }
-
-/**
- * Converts a `null` value to `undefined`, otherwise returns the value as-is.
- * @param value - The value to check
- * @returns `undefined` if the input is `null`; otherwise the input value
- */
-
-// export function toUndefinedIfNull<T>(value: T | null): T | undefined {
-//   if (value === null) {
-//     return undefined
-//   } else {
-//     return value
-//   }
-// }

resources/database/drizzle/0002_wealthy_naoko.sql

@@ -1 +0,0 @@
-ALTER TABLE `sessions` ADD `slash_commands` text;

resources/database/drizzle/meta/0002_snapshot.json

@@ -1,346 +0,0 @@
-{
-  "version": "6",
-  "dialect": "sqlite",
-  "id": "0cf3d79e-69bf-4dba-8df4-996b9b67d2e8",
-  "prevId": "dabab6db-a2cd-4e96-b06e-6cb87d445a87",
-  "tables": {
-    "agents": {
-      "name": "agents",
-      "columns": {
-        "id": {
-          "name": "id",
-          "type": "text",
-          "primaryKey": true,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "type": {
-          "name": "type",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "name": {
-          "name": "name",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "description": {
-          "name": "description",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "accessible_paths": {
-          "name": "accessible_paths",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "instructions": {
-          "name": "instructions",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "model": {
-          "name": "model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "plan_model": {
-          "name": "plan_model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "small_model": {
-          "name": "small_model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "mcps": {
-          "name": "mcps",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "allowed_tools": {
-          "name": "allowed_tools",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "configuration": {
-          "name": "configuration",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "created_at": {
-          "name": "created_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "updated_at": {
-          "name": "updated_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        }
-      },
-      "indexes": {},
-      "foreignKeys": {},
-      "compositePrimaryKeys": {},
-      "uniqueConstraints": {},
-      "checkConstraints": {}
-    },
-    "session_messages": {
-      "name": "session_messages",
-      "columns": {
-        "id": {
-          "name": "id",
-          "type": "integer",
-          "primaryKey": true,
-          "notNull": true,
-          "autoincrement": true
-        },
-        "session_id": {
-          "name": "session_id",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "role": {
-          "name": "role",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "content": {
-          "name": "content",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "agent_session_id": {
-          "name": "agent_session_id",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false,
-          "default": "''"
-        },
-        "metadata": {
-          "name": "metadata",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "created_at": {
-          "name": "created_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "updated_at": {
-          "name": "updated_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        }
-      },
-      "indexes": {},
-      "foreignKeys": {},
-      "compositePrimaryKeys": {},
-      "uniqueConstraints": {},
-      "checkConstraints": {}
-    },
-    "migrations": {
-      "name": "migrations",
-      "columns": {
-        "version": {
-          "name": "version",
-          "type": "integer",
-          "primaryKey": true,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "tag": {
-          "name": "tag",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "executed_at": {
-          "name": "executed_at",
-          "type": "integer",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        }
-      },
-      "indexes": {},
-      "foreignKeys": {},
-      "compositePrimaryKeys": {},
-      "uniqueConstraints": {},
-      "checkConstraints": {}
-    },
-    "sessions": {
-      "name": "sessions",
-      "columns": {
-        "id": {
-          "name": "id",
-          "type": "text",
-          "primaryKey": true,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "agent_type": {
-          "name": "agent_type",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "agent_id": {
-          "name": "agent_id",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "name": {
-          "name": "name",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "description": {
-          "name": "description",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "accessible_paths": {
-          "name": "accessible_paths",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "instructions": {
-          "name": "instructions",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "model": {
-          "name": "model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "plan_model": {
-          "name": "plan_model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "small_model": {
-          "name": "small_model",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "mcps": {
-          "name": "mcps",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "allowed_tools": {
-          "name": "allowed_tools",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "slash_commands": {
-          "name": "slash_commands",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "configuration": {
-          "name": "configuration",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": false,
-          "autoincrement": false
-        },
-        "created_at": {
-          "name": "created_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        },
-        "updated_at": {
-          "name": "updated_at",
-          "type": "text",
-          "primaryKey": false,
-          "notNull": true,
-          "autoincrement": false
-        }
-      },
-      "indexes": {},
-      "foreignKeys": {},
-      "compositePrimaryKeys": {},
-      "uniqueConstraints": {},
-      "checkConstraints": {}
-    }
-  },
-  "views": {},
-  "enums": {},
-  "_meta": {
-    "schemas": {},
-    "tables": {},
-    "columns": {}
-  },
-  "internal": {
-    "indexes": {}
-  }
-}

resources/database/drizzle/meta/_journal.json

@@ -15,13 +15,6 @@
       "when": 1758187378775,
       "tag": "0001_woozy_captain_flint",
       "breakpoints": true
-    },
-    {
-      "idx": 2,
-      "version": "6",
-      "when": 1762526423527,
-      "tag": "0002_wealthy_naoko",
-      "breakpoints": true
     }
   ]
 }

resources/js/bridge.js

@@ -0,0 +1,36 @@
+;(() => {
+  let messageId = 0
+  const pendingCalls = new Map()
+
+  function api(method, ...args) {
+    const id = messageId++
+    return new Promise((resolve, reject) => {
+      pendingCalls.set(id, { resolve, reject })
+      window.parent.postMessage({ id, type: 'api-call', method, args }, '*')
+    })
+  }
+
+  window.addEventListener('message', (event) => {
+    if (event.data.type === 'api-response') {
+      const { id, result, error } = event.data
+      const pendingCall = pendingCalls.get(id)
+      if (pendingCall) {
+        if (error) {
+          pendingCall.reject(new Error(error))
+        } else {
+          pendingCall.resolve(result)
+        }
+        pendingCalls.delete(id)
+      }
+    }
+  })
+
+  window.api = new Proxy(
+    {},
+    {
+      get: (target, prop) => {
+        return (...args) => api(prop, ...args)
+      }
+    }
+  )
+})()

resources/js/utils.js

@@ -0,0 +1,5 @@
+export function getQueryParam(paramName) {
+  const url = new URL(window.location.href)
+  const params = new URLSearchParams(url.search)
+  return params.get(paramName)
+}

resources/scripts/install-bun.js

@@ -7,7 +7,7 @@ const { downloadWithRedirects } = require('./download')
 
 // Base URL for downloading bun binaries
 const BUN_RELEASE_BASE_URL = 'https://gitcode.com/CherryHQ/bun/releases/download'
-const DEFAULT_BUN_VERSION = '1.3.1' // Default fallback version
+const DEFAULT_BUN_VERSION = '1.2.17' // Default fallback version
 
 // Mapping of platform+arch to binary package name
 const BUN_PACKAGES = {