Fix: Remove duplicate parameters and correct documentation

docs: add i-iooi-i as a contributor for bug, and ideas

.agent/workflows/plugin-development.md

@@ -25,6 +25,8 @@ Every plugin **MUST** have bilingual versions for both code and documentation:
 - **Valves**: Use `pydantic` for configuration.
 - **Database**: Re-use `open_webui.internal.db` shared connection.
 - **User Context**: Use `_get_user_context` helper method.
+- **Chat Context**: Use `_get_chat_context` helper method for `chat_id` and `message_id`.
+- **Debugging**: Use `_emit_debug_log` for frontend console logging (requires `SHOW_DEBUG_LOG` valve).
 - **Chat API**: For message updates, follow the "OpenWebUI Chat API 更新规范" in `.github/copilot-instructions.md`.
   - Use Event API for immediate UI updates
   - Use Chat Persistence API for database storage
@@ -86,6 +88,7 @@ Reference: `.github/workflows/release.yml`
     - Workflow: `.github/workflows/publish_plugin.yml`
     - Trigger: Release published.
     - Action: Automatically updates the plugin code and metadata on OpenWebUI.com using `scripts/publish_plugin.py`.
+    - **Auto-Sync**: If a local plugin has no ID but matches an existing published plugin by **Title**, the script will automatically fetch the ID, update the local file, and proceed with the update.
     - Requirement: `OPENWEBUI_API_KEY` secret must be set.
 
 ### Pull Request Check

.all-contributorsrc

@@ -0,0 +1,47 @@
+{
+  "files": [
+    "README.md"
+  ],
+  "imageSize": 100,
+  "commit": false,
+  "commitType": "docs",
+  "commitConvention": "angular",
+  "contributors": [
+    {
+      "login": "rbb-dev",
+      "name": "rbb-dev",
+      "avatar_url": "https://avatars.githubusercontent.com/u/37469229?v=4",
+      "profile": "https://github.com/rbb-dev",
+      "contributions": [
+        "ideas",
+        "code"
+      ]
+    },
+    {
+      "login": "dhaern",
+      "name": "Raxxoor",
+      "avatar_url": "https://avatars.githubusercontent.com/u/7317522?v=4",
+      "profile": "https://trade.xyz/?ref=BZ1RJRXWO",
+      "contributions": [
+        "bug",
+        "ideas"
+      ]
+    },
+    {
+      "login": "i-iooi-i",
+      "name": "ZOLO",
+      "avatar_url": "https://avatars.githubusercontent.com/u/1827701?v=4",
+      "profile": "https://github.com/i-iooi-i",
+      "contributions": [
+        "bug",
+        "ideas"
+      ]
+    }
+  ],
+  "contributorsPerLine": 7,
+  "skipCi": true,
+  "repoType": "github",
+  "repoHost": "https://github.com",
+  "projectName": "awesome-openwebui",
+  "projectOwner": "Fu-Jie"
+}

.github/workflows/community-stats.yml

@@ -32,16 +32,7 @@ jobs:
         run: |
           pip install requests python-dotenv
       
-      - name: Get previous stats
-        id: prev_stats
-        run: |
-          # 获取当前的 points 用于比较
-          if [ -f docs/community-stats.json ]; then
-            OLD_POINTS=$(jq -r '.user.total_points' docs/community-stats.json 2>/dev/null || echo "0")
-            echo "old_points=$OLD_POINTS" >> $GITHUB_OUTPUT
-          else
-            echo "old_points=0" >> $GITHUB_OUTPUT
-          fi
+
       
       - name: Generate stats report
         env:
@@ -49,27 +40,8 @@ jobs:
           OPENWEBUI_USER_ID: ${{ secrets.OPENWEBUI_USER_ID }}
         run: |
           python scripts/openwebui_stats.py
-      
-      - name: Check for significant changes
-        id: check_changes
-        run: |
-          # 获取新的 points
-          NEW_POINTS=$(jq -r '.user.total_points' docs/community-stats.json 2>/dev/null || echo "0")
-          
-          echo "📊 Previous points: ${{ steps.prev_stats.outputs.old_points }}"
-          echo "📊 Current points: $NEW_POINTS"
-          
-          # 只在 points 变化时才 commit
-          if [ "$NEW_POINTS" != "${{ steps.prev_stats.outputs.old_points }}" ]; then
-            echo "changed=true" >> $GITHUB_OUTPUT
-            echo "✅ Points changed (${{ steps.prev_stats.outputs.old_points }} → $NEW_POINTS), will commit"
-          else
-            echo "changed=false" >> $GITHUB_OUTPUT
-            echo "⏭️ Points unchanged, skipping commit"
-          fi
-      
+
       - name: Commit and push changes
-        if: steps.check_changes.outputs.changed == 'true'
         run: |
           git config --local user.email "github-actions[bot]@users.noreply.github.com"
           git config --local user.name "github-actions[bot]"

README.md

@@ -1,4 +1,7 @@
 # OpenWebUI Extras
+<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
+[![All Contributors](https://img.shields.io/badge/all_contributors-3-orange.svg?style=flat-square)](#contributors-)
+<!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 English | [中文](./README_CN.md)
 
@@ -7,28 +10,28 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
 <!-- STATS_START -->
 ## 📊 Community Stats
 
-> 🕐 Auto-updated: 2026-01-12 01:06
+> 🕐 Auto-updated: 2026-01-15 00:11
 
 | 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **82** | **86** | **22** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **104** | **104** | **25** |
 
 | 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |
 |:---:|:---:|:---:|:---:|:---:|
-| **14** | **1161** | **12713** | **76** | **73** |
+| **16** | **1451** | **16966** | **91** | **108** |
 
 ### 🔥 Top 6 Popular Plugins
 
-> 🕐 Auto-updated: 2026-01-12 01:06
+> 🕐 Auto-updated: 2026-01-15 00:11
 
-| Rank | Plugin | Downloads | Views | Updated |
-|:---:|------|:---:|:---:|:---:|
-| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 368 | 3352 | 2026-01-07 |
-| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 184 | 590 | 2026-01-07 |
-| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 136 | 1482 | 2026-01-11 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 136 | 1510 | 2026-01-11 |
-| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 100 | 1833 | 2026-01-07 |
-| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 96 | 880 | 2026-01-07 |
+| Rank | Plugin | Version | Downloads | Views | Updated |
+|:---:|------|:---:|:---:|:---:|:---:|
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 451 | 4028 | 2026-01-07 |
+| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 194 | 671 | 2026-01-07 |
+| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 185 | 1906 | 2026-01-11 |
+| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.1.3 | 156 | 1743 | 2026-01-11 |
+| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 122 | 1084 | 2026-01-07 |
+| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 116 | 2059 | 2026-01-07 |
 
 *See full stats in [Community Stats Report](./docs/community-stats.md)*
 <!-- STATS_END -->
@@ -109,3 +112,27 @@ If you have great prompts or plugins to share:
 3. Submit a Pull Request.
 
 [Contributing](./CONTRIBUTING.md)
+
+## Contributors ✨
+
+Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
+
+<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
+<!-- prettier-ignore-start -->
+<!-- markdownlint-disable -->
+<table>
+  <tbody>
+    <tr>
+      <td align="center" valign="top" width="14.28%"><a href="https://github.com/rbb-dev"><img src="https://avatars.githubusercontent.com/u/37469229?v=4?s=100" width="100px;" alt="rbb-dev"/><br /><sub><b>rbb-dev</b></sub></a><br /><a href="#ideas-rbb-dev" title="Ideas, Planning, & Feedback">🤔</a> <a href="https://github.com/Fu-Jie/awesome-openwebui/commits?author=rbb-dev" title="Code">💻</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://trade.xyz/?ref=BZ1RJRXWO"><img src="https://avatars.githubusercontent.com/u/7317522?v=4?s=100" width="100px;" alt="Raxxoor"/><br /><sub><b>Raxxoor</b></sub></a><br /><a href="https://github.com/Fu-Jie/awesome-openwebui/issues?q=author%3Adhaern" title="Bug reports">🐛</a> <a href="#ideas-dhaern" title="Ideas, Planning, & Feedback">🤔</a></td>
+      <td align="center" valign="top" width="14.28%"><a href="https://github.com/i-iooi-i"><img src="https://avatars.githubusercontent.com/u/1827701?v=4?s=100" width="100px;" alt="ZOLO"/><br /><sub><b>ZOLO</b></sub></a><br /><a href="https://github.com/Fu-Jie/awesome-openwebui/issues?q=author%3Ai-iooi-i" title="Bug reports">🐛</a> <a href="#ideas-i-iooi-i" title="Ideas, Planning, & Feedback">🤔</a></td>
+    </tr>
+  </tbody>
+</table>
+
+<!-- markdownlint-restore -->
+<!-- prettier-ignore-end -->
+
+<!-- ALL-CONTRIBUTORS-LIST:END -->
+
+This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

README_CN.md

@@ -7,28 +7,28 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 <!-- STATS_START -->
 ## 📊 社区统计
 
-> 🕐 自动更新于 2026-01-12 01:06
+> 🕐 自动更新于 2026-01-15 00:11
 
 | 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **82** | **86** | **22** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **104** | **104** | **25** |
 
 | 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |
 |:---:|:---:|:---:|:---:|:---:|
-| **14** | **1161** | **12713** | **76** | **73** |
+| **16** | **1451** | **16966** | **91** | **108** |
 
 ### 🔥 热门插件 Top 6
 
-> 🕐 自动更新于 2026-01-12 01:06
+> 🕐 自动更新于 2026-01-15 00:11
 
-| 排名 | 插件 | 下载 | 浏览 | 更新日期 |
-|:---:|------|:---:|:---:|:---:|
-| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 368 | 3352 | 2026-01-07 |
-| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 184 | 590 | 2026-01-07 |
-| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 136 | 1482 | 2026-01-11 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 136 | 1510 | 2026-01-11 |
-| 5️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 100 | 1833 | 2026-01-07 |
-| 6️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 96 | 880 | 2026-01-07 |
+| 排名 | 插件 | 版本 | 下载 | 浏览 | 更新日期 |
+|:---:|------|:---:|:---:|:---:|:---:|
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 451 | 4028 | 2026-01-07 |
+| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 194 | 671 | 2026-01-07 |
+| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 185 | 1906 | 2026-01-11 |
+| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.1.3 | 156 | 1743 | 2026-01-11 |
+| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 122 | 1084 | 2026-01-07 |
+| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 116 | 2059 | 2026-01-07 |
 
 *完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*
 <!-- STATS_END -->

docs/community-stats.json

@@ -1,15 +1,14 @@
 {
-  "total_posts": 14,
-  "total_downloads": 1161,
-  "total_views": 12713,
-  "total_upvotes": 76,
+  "total_posts": 16,
+  "total_downloads": 1451,
+  "total_views": 16966,
+  "total_upvotes": 91,
   "total_downvotes": 2,
-  "total_saves": 73,
-  "total_comments": 18,
+  "total_saves": 108,
+  "total_comments": 23,
   "by_type": {
-    "action": 11,
-    "filter": 2,
-    "unknown": 1
+    "unknown": 2,
+    "action": 14
   },
   "posts": [
     {
@@ -19,10 +18,10 @@
       "version": "0.9.1",
       "author": "Fu-Jie",
       "description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
-      "downloads": 368,
-      "views": 3352,
-      "upvotes": 11,
-      "saves": 22,
+      "downloads": 451,
+      "views": 4028,
+      "upvotes": 12,
+      "saves": 26,
       "comments": 11,
       "created_at": "2025-12-30",
       "updated_at": "2026-01-07",
@@ -35,8 +34,8 @@
       "version": "0.3.7",
       "author": "Fu-Jie",
       "description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
-      "downloads": 184,
-      "views": 590,
+      "downloads": 194,
+      "views": 671,
       "upvotes": 3,
       "saves": 4,
       "comments": 0,
@@ -51,10 +50,10 @@
       "version": "1.4.9",
       "author": "Fu-Jie",
       "description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
-      "downloads": 136,
-      "views": 1482,
-      "upvotes": 8,
-      "saves": 9,
+      "downloads": 185,
+      "views": 1906,
+      "upvotes": 9,
+      "saves": 13,
       "comments": 2,
       "created_at": "2025-12-28",
       "updated_at": "2026-01-11",
@@ -63,35 +62,19 @@
     {
       "title": "Async Context Compression",
       "slug": "async_context_compression_b1655bc8",
-      "type": "filter",
-      "version": "1.1.2",
+      "type": "action",
+      "version": "1.1.3",
       "author": "Fu-Jie",
       "description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
-      "downloads": 136,
-      "views": 1510,
-      "upvotes": 6,
-      "saves": 10,
+      "downloads": 156,
+      "views": 1743,
+      "upvotes": 7,
+      "saves": 15,
       "comments": 0,
       "created_at": "2025-11-08",
       "updated_at": "2026-01-11",
       "url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
     },
-    {
-      "title": "Flash Card",
-      "slug": "flash_card_65a2ea8f",
-      "type": "action",
-      "version": "0.2.4",
-      "author": "Fu-Jie",
-      "description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
-      "downloads": 100,
-      "views": 1833,
-      "upvotes": 8,
-      "saves": 6,
-      "comments": 2,
-      "created_at": "2025-12-30",
-      "updated_at": "2026-01-07",
-      "url": "https://openwebui.com/posts/flash_card_65a2ea8f"
-    },
     {
       "title": "Export to Word (Enhanced)",
       "slug": "export_to_word_enhanced_formatting_fca6a315",
@@ -99,46 +82,30 @@
       "version": "0.4.3",
       "author": "Fu-Jie",
       "description": "Export current conversation from Markdown to Word (.docx) with Mermaid diagrams rendered client-side (Mermaid.js, SVG+PNG), LaTeX math, real hyperlinks, improved tables, syntax highlighting, and blockquote support.",
-      "downloads": 96,
-      "views": 880,
+      "downloads": 122,
+      "views": 1084,
       "upvotes": 6,
-      "saves": 9,
+      "saves": 11,
       "comments": 0,
       "created_at": "2026-01-03",
       "updated_at": "2026-01-07",
       "url": "https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315"
     },
     {
-      "title": "📊 智能信息图 (AntV Infographic)",
-      "slug": "智能信息图_e04a48ff",
+      "title": "Flash Card",
+      "slug": "flash_card_65a2ea8f",
       "type": "action",
-      "version": "1.4.9",
+      "version": "0.2.4",
       "author": "Fu-Jie",
-      "description": "基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板，自动图标匹配，并提供 SVG/PNG 下载功能。",
-      "downloads": 35,
-      "views": 511,
-      "upvotes": 3,
-      "saves": 0,
-      "comments": 0,
-      "created_at": "2025-12-28",
-      "updated_at": "2026-01-11",
-      "url": "https://openwebui.com/posts/智能信息图_e04a48ff"
-    },
-    {
-      "title": "导出为 Word (增强版)",
-      "slug": "导出为_word_支持公式流程图表格和代码块_8a6306c0",
-      "type": "action",
-      "version": "0.4.3",
-      "author": "Fu-Jie",
-      "description": "将对话导出为 Word (.docx)，支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
-      "downloads": 35,
-      "views": 998,
-      "upvotes": 9,
-      "saves": 2,
-      "comments": 1,
-      "created_at": "2026-01-04",
+      "description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
+      "downloads": 116,
+      "views": 2059,
+      "upvotes": 8,
+      "saves": 10,
+      "comments": 2,
+      "created_at": "2025-12-30",
       "updated_at": "2026-01-07",
-      "url": "https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0"
+      "url": "https://openwebui.com/posts/flash_card_65a2ea8f"
     },
     {
       "title": "Deep Dive",
@@ -147,8 +114,8 @@
       "version": "1.0.0",
       "author": "Fu-Jie",
       "description": "A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.",
-      "downloads": 30,
-      "views": 307,
+      "downloads": 54,
+      "views": 523,
       "upvotes": 3,
       "saves": 4,
       "comments": 0,
@@ -156,6 +123,54 @@
       "updated_at": "2026-01-08",
       "url": "https://openwebui.com/posts/deep_dive_c0b846e4"
     },
+    {
+      "title": "导出为 Word (增强版)",
+      "slug": "导出为_word_支持公式流程图表格和代码块_8a6306c0",
+      "type": "action",
+      "version": "0.4.3",
+      "author": "Fu-Jie",
+      "description": "将对话导出为 Word (.docx)，支持 Mermaid 图表 (客户端渲染 SVG+PNG)、LaTeX 数学公式、真实超链接、增强表格格式、代码高亮和引用块。",
+      "downloads": 49,
+      "views": 1155,
+      "upvotes": 9,
+      "saves": 3,
+      "comments": 1,
+      "created_at": "2026-01-04",
+      "updated_at": "2026-01-07",
+      "url": "https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0"
+    },
+    {
+      "title": "📊 智能信息图 (AntV Infographic)",
+      "slug": "智能信息图_e04a48ff",
+      "type": "action",
+      "version": "1.4.9",
+      "author": "Fu-Jie",
+      "description": "基于 AntV Infographic 的智能信息图生成插件。支持多种专业模板，自动图标匹配，并提供 SVG/PNG 下载功能。",
+      "downloads": 41,
+      "views": 603,
+      "upvotes": 4,
+      "saves": 0,
+      "comments": 0,
+      "created_at": "2025-12-28",
+      "updated_at": "2026-01-11",
+      "url": "https://openwebui.com/posts/智能信息图_e04a48ff"
+    },
+    {
+      "title": "Markdown Normalizer",
+      "slug": "markdown_normalizer_baaa8732",
+      "type": "action",
+      "version": "1.1.2",
+      "author": "Fu-Jie",
+      "description": "A content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting.",
+      "downloads": 30,
+      "views": 1095,
+      "upvotes": 7,
+      "saves": 11,
+      "comments": 5,
+      "created_at": "2026-01-12",
+      "updated_at": "2026-01-13",
+      "url": "https://openwebui.com/posts/markdown_normalizer_baaa8732"
+    },
     {
       "title": "思维导图",
       "slug": "智能生成交互式思维导图帮助用户可视化知识_8d4b097b",
@@ -163,8 +178,8 @@
       "version": "0.9.1",
       "author": "Fu-Jie",
       "description": "智能分析文本内容,生成交互式思维导图,帮助用户结构化和可视化知识。",
-      "downloads": 18,
-      "views": 330,
+      "downloads": 21,
+      "views": 369,
       "upvotes": 2,
       "saves": 1,
       "comments": 0,
@@ -172,6 +187,22 @@
       "updated_at": "2026-01-07",
       "url": "https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b"
     },
+    {
+      "title": "异步上下文压缩",
+      "slug": "异步上下文压缩_5c0617cb",
+      "type": "action",
+      "version": "1.1.3",
+      "author": "Fu-Jie",
+      "description": "通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。",
+      "downloads": 14,
+      "views": 315,
+      "upvotes": 4,
+      "saves": 1,
+      "comments": 0,
+      "created_at": "2025-11-08",
+      "updated_at": "2026-01-11",
+      "url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
+    },
     {
       "title": "闪记卡 (Flash Card)",
       "slug": "闪记卡生成插件_4a31eac3",
@@ -180,7 +211,7 @@
       "author": "Fu-Jie",
       "description": "快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。",
       "downloads": 12,
-      "views": 361,
+      "views": 405,
       "upvotes": 4,
       "saves": 1,
       "comments": 0,
@@ -188,22 +219,6 @@
       "updated_at": "2026-01-07",
       "url": "https://openwebui.com/posts/闪记卡生成插件_4a31eac3"
     },
-    {
-      "title": "异步上下文压缩",
-      "slug": "异步上下文压缩_5c0617cb",
-      "type": "filter",
-      "version": "1.1.2",
-      "author": "Fu-Jie",
-      "description": "通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。",
-      "downloads": 8,
-      "views": 211,
-      "upvotes": 4,
-      "saves": 1,
-      "comments": 0,
-      "created_at": "2025-11-08",
-      "updated_at": "2026-01-11",
-      "url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
-    },
     {
       "title": "精读",
       "slug": "精读_99830b0f",
@@ -211,8 +226,8 @@
       "version": "1.0.0",
       "author": "Fu-Jie",
       "description": "全方位的思维透镜 —— 从背景全景到逻辑脉络，从深度洞察到行动路径。",
-      "downloads": 3,
-      "views": 112,
+      "downloads": 6,
+      "views": 214,
       "upvotes": 2,
       "saves": 1,
       "comments": 0,
@@ -220,6 +235,22 @@
       "updated_at": "2026-01-08",
       "url": "https://openwebui.com/posts/精读_99830b0f"
     },
+    {
+      "title": "Review of Claude Haiku 4.5",
+      "slug": "review_of_claude_haiku_45_41b0db39",
+      "type": "unknown",
+      "version": "",
+      "author": "",
+      "description": "",
+      "downloads": 0,
+      "views": 5,
+      "upvotes": 0,
+      "saves": 0,
+      "comments": 0,
+      "created_at": "2026-01-14",
+      "updated_at": "2026-01-14",
+      "url": "https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39"
+    },
     {
       "title": " 🛠️ Debug Open WebUI Plugins in Your Browser",
       "slug": "debug_open_webui_plugins_in_your_browser_81bf7960",
@@ -228,9 +259,9 @@
       "author": "",
       "description": "",
       "downloads": 0,
-      "views": 236,
-      "upvotes": 7,
-      "saves": 3,
+      "views": 791,
+      "upvotes": 11,
+      "saves": 7,
       "comments": 2,
       "created_at": "2026-01-10",
       "updated_at": "2026-01-10",
@@ -242,11 +273,11 @@
     "name": "Fu-Jie",
     "profile_url": "https://openwebui.com/u/Fu-Jie",
     "profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
-    "followers": 82,
+    "followers": 104,
     "following": 2,
-    "total_points": 86,
-    "post_points": 74,
-    "comment_points": 12,
-    "contributions": 22
+    "total_points": 104,
+    "post_points": 89,
+    "comment_points": 15,
+    "contributions": 25
   }
 }

docs/community-stats.md

@@ -1,39 +1,40 @@
 # 📊 OpenWebUI Community Stats Report
 
-> 📅 Updated: 2026-01-12 01:06
+> 📅 Updated: 2026-01-15 00:11
 
 ## 📈 Overview
 
 | Metric | Value |
 |------|------|
-| 📝 Total Posts | 14 |
-| ⬇️ Total Downloads | 1161 |
-| 👁️ Total Views | 12713 |
-| 👍 Total Upvotes | 76 |
-| 💾 Total Saves | 73 |
-| 💬 Total Comments | 18 |
+| 📝 Total Posts | 16 |
+| ⬇️ Total Downloads | 1451 |
+| 👁️ Total Views | 16966 |
+| 👍 Total Upvotes | 91 |
+| 💾 Total Saves | 108 |
+| 💬 Total Comments | 23 |
 
 ## 📂 By Type
 
-- **action**: 11
-- **filter**: 2
-- **unknown**: 1
+- **unknown**: 2
+- **action**: 14
 
 ## 📋 Posts List
 
 | Rank | Title | Type | Version | Downloads | Views | Upvotes | Saves | Updated |
 |:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
-| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 368 | 3352 | 11 | 22 | 2026-01-07 |
-| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 184 | 590 | 3 | 4 | 2026-01-07 |
-| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 136 | 1482 | 8 | 9 | 2026-01-11 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.2 | 136 | 1510 | 6 | 10 | 2026-01-11 |
-| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 100 | 1833 | 8 | 6 | 2026-01-07 |
-| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 96 | 880 | 6 | 9 | 2026-01-07 |
-| 7 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 35 | 511 | 3 | 0 | 2026-01-11 |
-| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 35 | 998 | 9 | 2 | 2026-01-07 |
-| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 30 | 307 | 3 | 4 | 2026-01-08 |
-| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 18 | 330 | 2 | 1 | 2026-01-07 |
-| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 361 | 4 | 1 | 2026-01-07 |
-| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.2 | 8 | 211 | 4 | 1 | 2026-01-11 |
-| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 3 | 112 | 2 | 1 | 2026-01-08 |
-| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 236 | 7 | 3 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 451 | 4028 | 12 | 26 | 2026-01-07 |
+| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 194 | 671 | 3 | 4 | 2026-01-07 |
+| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 185 | 1906 | 9 | 13 | 2026-01-11 |
+| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.1.3 | 156 | 1743 | 7 | 15 | 2026-01-11 |
+| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 122 | 1084 | 6 | 11 | 2026-01-07 |
+| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 116 | 2059 | 8 | 10 | 2026-01-07 |
+| 7 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 54 | 523 | 3 | 4 | 2026-01-08 |
+| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 49 | 1155 | 9 | 3 | 2026-01-07 |
+| 9 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 41 | 603 | 4 | 0 | 2026-01-11 |
+| 10 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.1.2 | 30 | 1095 | 7 | 11 | 2026-01-13 |
+| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 21 | 369 | 2 | 1 | 2026-01-07 |
+| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.1.3 | 14 | 315 | 4 | 1 | 2026-01-11 |
+| 13 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 405 | 4 | 1 | 2026-01-07 |
+| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 6 | 214 | 2 | 1 | 2026-01-08 |
+| 15 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 5 | 0 | 0 | 2026-01-14 |
+| 16 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 791 | 11 | 7 | 2026-01-10 |

docs/community-stats.zh.md

@@ -1,39 +1,40 @@
 # 📊 OpenWebUI 社区统计报告
 
-> 📅 更新时间: 2026-01-12 01:06
+> 📅 更新时间: 2026-01-15 00:11
 
 ## 📈 总览
 
 | 指标 | 数值 |
 |------|------|
-| 📝 发布数量 | 14 |
-| ⬇️ 总下载量 | 1161 |
-| 👁️ 总浏览量 | 12713 |
-| 👍 总点赞数 | 76 |
-| 💾 总收藏数 | 73 |
-| 💬 总评论数 | 18 |
+| 📝 发布数量 | 16 |
+| ⬇️ 总下载量 | 1451 |
+| 👁️ 总浏览量 | 16966 |
+| 👍 总点赞数 | 91 |
+| 💾 总收藏数 | 108 |
+| 💬 总评论数 | 23 |
 
 ## 📂 按类型分类
 
-- **action**: 11
-- **filter**: 2
-- **unknown**: 1
+- **unknown**: 2
+- **action**: 14
 
 ## 📋 发布列表
 
 | 排名 | 标题 | 类型 | 版本 | 下载 | 浏览 | 点赞 | 收藏 | 更新日期 |
 |:---:|------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
-| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 368 | 3352 | 11 | 22 | 2026-01-07 |
-| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 184 | 590 | 3 | 4 | 2026-01-07 |
-| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 136 | 1482 | 8 | 9 | 2026-01-11 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter | 1.1.2 | 136 | 1510 | 6 | 10 | 2026-01-11 |
-| 5 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 100 | 1833 | 8 | 6 | 2026-01-07 |
-| 6 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 96 | 880 | 6 | 9 | 2026-01-07 |
-| 7 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 35 | 511 | 3 | 0 | 2026-01-11 |
-| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 35 | 998 | 9 | 2 | 2026-01-07 |
-| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 30 | 307 | 3 | 4 | 2026-01-08 |
-| 10 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 18 | 330 | 2 | 1 | 2026-01-07 |
-| 11 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 361 | 4 | 1 | 2026-01-07 |
-| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | filter | 1.1.2 | 8 | 211 | 4 | 1 | 2026-01-11 |
-| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 3 | 112 | 2 | 1 | 2026-01-08 |
-| 14 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 236 | 7 | 3 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.1 | 451 | 4028 | 12 | 26 | 2026-01-07 |
+| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 194 | 671 | 3 | 4 | 2026-01-07 |
+| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 185 | 1906 | 9 | 13 | 2026-01-11 |
+| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.1.3 | 156 | 1743 | 7 | 15 | 2026-01-11 |
+| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 122 | 1084 | 6 | 11 | 2026-01-07 |
+| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 116 | 2059 | 8 | 10 | 2026-01-07 |
+| 7 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 54 | 523 | 3 | 4 | 2026-01-08 |
+| 8 | [导出为 Word (增强版)](https://openwebui.com/posts/导出为_word_支持公式流程图表格和代码块_8a6306c0) | action | 0.4.3 | 49 | 1155 | 9 | 3 | 2026-01-07 |
+| 9 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 41 | 603 | 4 | 0 | 2026-01-11 |
+| 10 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.1.2 | 30 | 1095 | 7 | 11 | 2026-01-13 |
+| 11 | [思维导图](https://openwebui.com/posts/智能生成交互式思维导图帮助用户可视化知识_8d4b097b) | action | 0.9.1 | 21 | 369 | 2 | 1 | 2026-01-07 |
+| 12 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.1.3 | 14 | 315 | 4 | 1 | 2026-01-11 |
+| 13 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 405 | 4 | 1 | 2026-01-07 |
+| 14 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 6 | 214 | 2 | 1 | 2026-01-08 |
+| 15 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 5 | 0 | 0 | 2026-01-14 |
+| 16 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 791 | 11 | 7 | 2026-01-10 |

docs/development/plugin-guide.md

@@ -7,10 +7,10 @@
 ## 📚 Table of Contents
 
 1. [Quick Start](#1-quick-start)
-2. [Core Concepts & SDK Details](#2-core-concepts--sdk-details)
+2. [Core Concepts & SDK Details](#2-core-concepts-sdk-details)
 3. [Deep Dive into Plugin Types](#3-deep-dive-into-plugin-types)
 4. [Advanced Development Patterns](#4-advanced-development-patterns)
-5. [Best Practices & Design Principles](#5-best-practices--design-principles)
+5. [Best Practices & Design Principles](#5-best-practices-design-principles)
 6. [Troubleshooting](#6-troubleshooting)
 
 ---
@@ -351,8 +351,7 @@ async def action(self, body, __event_call__, __metadata__, ...):
 
 #### Reference Implementations
 
-- `plugins/actions/js-render-poc/infographic_markdown.py` - AntV Infographic + Data URL
-- `plugins/actions/js-render-poc/js_render_poc.py` - Basic proof of concept
+- `plugins/actions/infographic/infographic.py` - Production-ready implementation using AntV + Data URL
 
 ---
 

docs/development/plugin-guide.zh.md

@@ -4,19 +4,19 @@
 
 ## 📚 目录
 
-1.  [插件开发快速入门](#1-插件开发快速入门)
-2.  [核心概念与 SDK 详解](#2-核心概念与-sdk-详解)
-3.  [插件类型深度解析](#3-插件类型深度解析)
-    *   [Action (动作)](#31-action-动作)
-    *   [Filter (过滤器)](#32-filter-过滤器)
-    *   [Pipe (管道)](#33-pipe-管道)
-4.  [高级开发模式](#4-高级开发模式)
-5.  [最佳实践与设计原则](#5-最佳实践与设计原则)
-6.  [故障排查](#6-故障排查)
+1.  [插件开发快速入门](#1-quick-start)
+2.  [核心概念与 SDK 详解](#2-core-concepts-sdk-details)
+3.  [插件类型深度解析](#3-plugin-types)
+    *   [Action (动作)](#31-action)
+    *   [Filter (过滤器)](#32-filter)
+    *   [Pipe (管道)](#33-pipe)
+4.  [高级开发模式](#4-advanced-patterns)
+5.  [最佳实践与设计原则](#5-best-practices)
+6.  [故障排查](#6-troubleshooting)
 
 ---
 
-## 1. 插件开发快速入门
+## 1. 插件开发快速入门 {: #1-quick-start }
 
 ### 1.1 什么是 OpenWebUI 插件？
 
@@ -64,7 +64,7 @@ class Action:
 
 ---
 
-## 2. 核心概念与 SDK 详解
+## 2. 核心概念与 SDK 详解 {: #2-core-concepts-sdk-details }
 
 ### 2.1 ⚠️ 重要：同步与异步
 
@@ -107,9 +107,9 @@ class Filter:
 
 ---
 
-## 3. 插件类型深度解析
+## 3. 插件类型深度解析 {: #3-plugin-types }
 
-### 3.1 Action (动作)
+### 3.1 Action (动作) {: #31-action }
 
 **定位**：在消息下方添加按钮，用户点击触发。
 
@@ -134,7 +134,7 @@ async def action(self, body, __event_call__):
     await __event_call__({"type": "execute", "data": {"code": js}})
 ```
 
-### 3.2 Filter (过滤器)
+### 3.2 Filter (过滤器) {: #32-filter }
 
 **定位**：中间件，拦截并修改请求/响应。
 
@@ -155,7 +155,7 @@ async def inlet(self, body, __metadata__):
     return body
 ```
 
-### 3.3 Pipe (管道)
+### 3.3 Pipe (管道) {: #33-pipe }
 
 **定位**：自定义模型/代理。
 
@@ -177,7 +177,7 @@ class Pipe:
 
 ---
 
-## 4. 高级开发模式
+## 4. 高级开发模式 {: #4-advanced-patterns }
 
 ### 4.1 Pipe 与 Filter 协同
 利用 `__request__.app.state` 在不同插件间共享数据。
@@ -315,10 +315,9 @@ async def action(self, body, __event_call__, __metadata__, ...):
 
 #### 参考实现
 
-- `plugins/actions/js-render-poc/infographic_markdown.py` - AntV 信息图 + Data URL
-- `plugins/actions/js-render-poc/js_render_poc.py` - 基础概念验证
+- `plugins/actions/infographic/infographic.py` - 基于 AntV + Data URL 的生产级实现
 
-## 5. 最佳实践与设计原则
+## 5. 最佳实践与设计原则 {: #5-best-practices }
 
 ### 5.1 命名与定位
 *   **简短有力**：如 "闪记卡", "精读"。避免 "文本分析助手" 这种泛词。
@@ -344,7 +343,7 @@ except Exception as e:
 
 ---
 
-## 6. 故障排查
+## 6. 故障排查 {: #6-troubleshooting }
 
 *   **HTML 不显示？** 确保包裹在 ` ```html ... ``` ` 代码块中。
 *   **数据库报错？** 检查是否在 `async` 函数中直接调用了同步的 DB 方法，请使用 `asyncio.to_thread`。

docs/index.md

@@ -73,13 +73,13 @@ hide:
 
     [:octicons-arrow-right-24: Learn More](plugins/actions/smart-mind-map.md)
 
--   :material-card-text:{ .lg .middle } **Knowledge Card**
+-   :material-card-text:{ .lg .middle } **Flash Card**
 
     ---
 
-    Quickly generates beautiful learning memory cards, perfect for studying and quick memorization.
+    Quickly generates beautiful flashcards from text, extracting key points and categories.
 
-    [:octicons-arrow-right-24: Learn More](plugins/actions/knowledge-card.md)
+    [:octicons-arrow-right-24: Learn More](plugins/actions/flash-card.md)
 
 -   :material-arrow-collapse-vertical:{ .lg .middle } **Async Context Compression**
 

docs/index.zh.md

@@ -73,13 +73,13 @@ hide:
 
     [:octicons-arrow-right-24: 了解更多](plugins/actions/smart-mind-map.md)
 
--   :material-card-text:{ .lg .middle } **知识卡片**
+-   :material-card-text:{ .lg .middle } **Flash Card（闪记卡）**
 
     ---
 
     快速生成精美的学习记忆卡片，非常适合学习和快速记忆。
 
-    [:octicons-arrow-right-24: 了解更多](plugins/actions/knowledge-card.md)
+    [:octicons-arrow-right-24: 了解更多](plugins/actions/flash-card.md)
 
 -   :material-arrow-collapse-vertical:{ .lg .middle } **异步上下文压缩**
 

docs/plugins/actions/flash-card.md

@@ -1,9 +1,9 @@
-# Knowledge Card
+# Flash Card
 
 <span class="category-badge action">Action</span>
-<span class="version-badge">v0.2.2</span>
+<span class="version-badge">v0.2.4</span>
 
-Quickly generates beautiful learning memory cards, perfect for studying and quick memorization.
+Quickly generates beautiful flashcards from text, extracting key points and categories.
 
 ---
 
@@ -23,7 +23,7 @@ The Knowledge Card plugin (also known as Flash Card / 闪记卡) transforms cont
 
 ## Installation
 
-1. Download the plugin file: [`knowledge_card.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/knowledge-card)
+1. Download the plugin file: [`flash_card.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/flash-card)
 2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
 3. Enable the plugin
 
@@ -85,4 +85,4 @@ The Knowledge Card plugin (also known as Flash Card / 闪记卡) transforms cont
 
 ## Source Code
 
-[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/knowledge-card){ .md-button }
+[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/flash-card){ .md-button }

docs/plugins/actions/flash-card.zh.md

@@ -1,7 +1,7 @@
-# Knowledge Card（知识卡片）
+# Flash Card（闪记卡）
 
 <span class="category-badge action">Action</span>
-<span class="version-badge">v0.2.0</span>
+<span class="version-badge">v0.2.4</span>
 
 快速生成精美的学习记忆卡片，适合学习和速记。
 
@@ -23,7 +23,7 @@ Knowledge Card 插件（又名 Flash Card / 闪记卡）会把内容转成视觉
 
 ## 安装
 
-1. 下载插件文件：[`knowledge_card.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/knowledge-card)
+1. 下载插件文件：[`flash_card.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/flash-card)
 2. 上传到 OpenWebUI：**Admin Panel** → **Settings** → **Functions**
 3. 启用插件
 
@@ -85,4 +85,4 @@ Knowledge Card 插件（又名 Flash Card / 闪记卡）会把内容转成视觉
 
 ## 源码
 
-[:fontawesome-brands-github: 在 GitHub 查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/knowledge-card){ .md-button }
+[:fontawesome-brands-github: 在 GitHub 查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/flash-card){ .md-button }

docs/plugins/actions/index.md

@@ -23,7 +23,7 @@ Actions are interactive plugins that:
 
     Intelligently analyzes text content and generates interactive mind maps with beautiful visualizations.
 
-    **Version:** 0.8.0
+    **Version:** 0.9.1
 
     [:octicons-arrow-right-24: Documentation](smart-mind-map.md)
 
@@ -37,15 +37,15 @@ Actions are interactive plugins that:
 
     [:octicons-arrow-right-24: Documentation](smart-infographic.md)
 
--   :material-card-text:{ .lg .middle } **Knowledge Card**
+-   :material-card-text:{ .lg .middle } **Flash Card**
 
     ---
 
-    Quickly generates beautiful learning memory cards, perfect for studying and memorization.
+    Quickly generates beautiful flashcards from text, extracting key points and categories.
 
-    **Version:** 0.2.2
+    **Version:** 0.2.4
 
-    [:octicons-arrow-right-24: Documentation](knowledge-card.md)
+    [:octicons-arrow-right-24: Documentation](flash-card.md)
 
 -   :material-file-excel:{ .lg .middle } **Export to Excel**
 
@@ -77,15 +77,7 @@ Actions are interactive plugins that:
 
     [:octicons-arrow-right-24: Documentation](deep-dive.md)
 
--   :material-image-text:{ .lg .middle } **Infographic to Markdown**
 
-    ---
-
-    AI-powered infographic generator that renders SVG and embeds it as Markdown Data URL image.
-
-    **Version:** 1.0.0
-
-    [:octicons-arrow-right-24: Documentation](infographic-markdown.md)
 
 </div>
 

docs/plugins/actions/index.zh.md

@@ -37,15 +37,15 @@ Actions 是交互式插件，能够：
 
     [:octicons-arrow-right-24: 查看文档](smart-infographic.md)
 
--   :material-card-text:{ .lg .middle } **Knowledge Card**
+-   :material-card-text:{ .lg .middle } **Flash Card（闪记卡）**
 
     ---
 
-    快速生成精美的学习记忆卡片，适合学习与记忆。
+    快速生成精美的学习记忆卡片，非常适合学习和快速记忆。
 
-    **版本：** 0.2.2
+    **版本：** 0.2.4
 
-    [:octicons-arrow-right-24: 查看文档](knowledge-card.md)
+    [:octicons-arrow-right-24: 查看文档](flash-card.md)
 
 -   :material-file-excel:{ .lg .middle } **Export to Excel**
 
@@ -77,15 +77,7 @@ Actions 是交互式插件，能够：
 
     [:octicons-arrow-right-24: 查看文档](deep-dive.zh.md)
 
--   :material-image-text:{ .lg .middle } **信息图转 Markdown**
 
-    ---
-
-    AI 驱动的信息图生成器，渲染 SVG 并以 Markdown Data URL 图片嵌入。
-
-    **版本：** 1.0.0
-
-    [:octicons-arrow-right-24: 查看文档](infographic-markdown.zh.md)
 
 </div>
 

docs/plugins/actions/smart-mind-map.md

@@ -1,7 +1,7 @@
 # Smart Mind Map
 
 <span class="category-badge action">Action</span>
-<span class="version-badge">v0.8.0</span>
+<span class="version-badge">v0.9.1</span>
 
 Intelligently analyzes text content and generates interactive mind maps for better visualization and understanding.
 
@@ -23,7 +23,7 @@ The Smart Mind Map plugin transforms text content into beautiful, interactive mi
 
 ## Installation
 
-1. Download the plugin file: [`思维导图.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/smart-mind-map)
+1. Download the plugin file: [`smart_mind_map.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/smart-mind-map)
 2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions** (Actions)
 3. Enable the plugin, and optionally allow iframe same-origin access so theme auto-detection works
 

docs/plugins/actions/smart-mind-map.zh.md

@@ -1,7 +1,7 @@
 # Smart Mind Map（智能思维导图）
 
 <span class="category-badge action">Action</span>
-<span class="version-badge">v0.8.0</span>
+<span class="version-badge">v0.9.1</span>
 
 智能分析文本内容，生成交互式思维导图，帮助你更直观地理解信息结构。
 
@@ -23,7 +23,7 @@ Smart Mind Map 会将文本转换成漂亮的交互式思维导图。插件会
 
 ## 安装
 
-1. 下载插件文件：[`思维导图.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/smart-mind-map)
+1. 下载插件文件：[`smart_mind_map.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/actions/smart-mind-map)
 2. 上传到 OpenWebUI：**Admin Panel** → **Settings** → **Functions**（Actions）
 3. 启用插件，并可在设置中允许 iframe same-origin 以启用主题自动检测
 

docs/plugins/filters/gemini-manifold-companion.md

@@ -1,54 +0,0 @@
-# Gemini Manifold Companion
-
-<span class="category-badge filter">Filter</span>
-<span class="version-badge">v0.3.2</span>
-
-Companion filter for the Gemini Manifold pipe plugin, providing enhanced functionality.
-
----
-
-## Overview
-
-The Gemini Manifold Companion works alongside the [Gemini Manifold Pipe](../pipes/gemini-manifold.md) to provide additional processing and enhancement for Gemini model integrations.
-
-## Features
-
-- :material-handshake: **Seamless Integration**: Works with Gemini Manifold pipe
-- :material-format-text: **Message Formatting**: Optimizes messages for Gemini
-- :material-shield: **Error Handling**: Graceful handling of API issues
-- :material-tune: **Fine-tuning**: Additional configuration options
-
----
-
-## Installation
-
-1. First, install the [Gemini Manifold Pipe](../pipes/gemini-manifold.md)
-2. Download the companion filter: [`gemini_manifold_companion.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/gemini_manifold_companion)
-3. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
-4. Enable the filter
-
----
-
-## Configuration
-
-| Option | Type | Default | Description |
-|--------|------|---------|-------------|
-| `auto_format` | boolean | `true` | Auto-format messages for Gemini |
-| `handle_errors` | boolean | `true` | Enable error handling |
-
----
-
-## Requirements
-
-!!! warning "Dependency"
-    This filter requires the **Gemini Manifold Pipe** to be installed and configured.
-
-!!! note "Prerequisites"
-    - OpenWebUI v0.3.0 or later
-    - Gemini Manifold Pipe installed
-
----
-
-## Source Code
-
-[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/gemini_manifold_companion){ .md-button }

docs/plugins/filters/gemini-manifold-companion.zh.md

@@ -1,54 +0,0 @@
-# Gemini Manifold Companion
-
-<span class="category-badge filter">Filter</span>
-<span class="version-badge">v0.3.2</span>
-
-Gemini Manifold Pipe 的伴随过滤器，用于增强 Gemini 集成的处理效果。
-
----
-
-## 概览
-
-Gemini Manifold Companion 与 [Gemini Manifold Pipe](../pipes/gemini-manifold.md) 搭配使用，为 Gemini 模型集成提供额外的处理与优化。
-
-## 功能特性
-
-- :material-handshake: **无缝协同**：与 Gemini Manifold Pipe 配合工作
-- :material-format-text: **消息格式化**：针对 Gemini 优化消息
-- :material-shield: **错误处理**：更友好的 API 异常处理
-- :material-tune: **精细配置**：提供额外调优选项
-
----
-
-## 安装
-
-1. 先安装 [Gemini Manifold Pipe](../pipes/gemini-manifold.md)
-2. 下载伴随过滤器：[`gemini_manifold_companion.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/gemini_manifold_companion)
-3. 上传到 OpenWebUI：**Admin Panel** → **Settings** → **Functions**
-4. 启用过滤器
-
----
-
-## 配置项
-
-| 选项 | 类型 | 默认值 | 说明 |
-|--------|------|---------|-------------|
-| `auto_format` | boolean | `true` | 为 Gemini 自动格式化消息 |
-| `handle_errors` | boolean | `true` | 开启错误处理 |
-
----
-
-## 运行要求
-
-!!! warning "依赖"
-    本过滤器需要先安装并配置 **Gemini Manifold Pipe**。
-
-!!! note "前置条件"
-    - OpenWebUI v0.3.0 及以上
-    - 已安装 Gemini Manifold Pipe
-
----
-
-## 源码
-
-[:fontawesome-brands-github: 在 GitHub 查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/gemini_manifold_companion){ .md-button }

docs/plugins/filters/index.md

@@ -36,15 +36,7 @@ Filters act as middleware in the message pipeline:
 
     [:octicons-arrow-right-24: Documentation](context-enhancement.md)
 
--   :material-google:{ .lg .middle } **Gemini Manifold Companion**
 
-    ---
-
-    Companion filter for the Gemini Manifold pipe plugin.
-
-    **Version:** 1.7.0
-
-    [:octicons-arrow-right-24: Documentation](gemini-manifold-companion.md)
 
 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**
 
@@ -52,10 +44,30 @@ Filters act as middleware in the message pipeline:
 
     Fixes common Markdown formatting issues in LLM outputs, including Mermaid syntax, code blocks, and LaTeX formulas.
 
-    **Version:** 1.0.1
+    **Version:** 1.1.2
 
     [:octicons-arrow-right-24: Documentation](markdown_normalizer.md)
 
+-   :material-merge:{ .lg .middle } **Multi-Model Context Merger**
+
+    ---
+
+    Automatically merges context from multiple model responses in the previous turn, enabling collaborative answers.
+
+    **Version:** 0.1.0
+
+    [:octicons-arrow-right-24: Documentation](multi-model-context-merger.md)
+
+-   :material-file-document-multiple:{ .lg .middle } **Web Gemini Multimodal Filter**
+
+    ---
+
+    A powerful filter that provides multimodal capabilities (PDF, Office, Images, Audio, Video) to any model in OpenWebUI.
+
+    **Version:** 0.3.2
+
+    [:octicons-arrow-right-24: Documentation](web-gemini-multimodel.md)
+
 </div>
 
 ---

docs/plugins/filters/index.zh.md

@@ -36,15 +36,7 @@ Filter 充当消息管线中的中间件：
 
     [:octicons-arrow-right-24: 查看文档](context-enhancement.md)
 
--   :material-google:{ .lg .middle } **Gemini Manifold Companion**
 
-    ---
-
-    Gemini Manifold Pipe 插件的伴随过滤器。
-
-    **版本：** 1.7.0
-
-    [:octicons-arrow-right-24: 查看文档](gemini-manifold-companion.md)
 
 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**
 

docs/plugins/filters/multi-model-context-merger.md

@@ -0,0 +1,35 @@
+# Multi-Model Context Merger
+
+<span class="category-badge filter">Filter</span>
+<span class="version-badge">v0.1.0</span>
+
+Automatically merges context from multiple model responses in the previous turn, enabling collaborative answers.
+
+---
+
+## Overview
+
+This filter detects when multiple models have responded in the previous turn (e.g., using "Arena" mode or multiple models selected). It consolidates these responses and injects them as context for the current turn, allowing the next model to see what others have said.
+
+## Features
+
+- :material-merge: **Auto-Merge**: Consolidates responses from multiple models into a single context block.
+- :material-format-list-group: **Structured Injection**: Uses XML-like tags (`<response>`) to separate different model outputs.
+- :material-robot-confused: **Collaboration**: Enables models to build upon or critique each other's answers.
+
+---
+
+## Installation
+
+1. Download the plugin file: [`multi_model_context_merger.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters)
+2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
+3. Enable the filter.
+
+---
+
+## Usage
+
+1. Select **multiple models** in the chat (or use Arena mode).
+2. Ask a question. All models will respond.
+3. Ask a follow-up question.
+4. The filter will inject the previous responses from ALL models into the context of the current model(s).

docs/plugins/filters/multi-model-context-merger.zh.md

@@ -0,0 +1,35 @@
+# 多模型上下文合并 (Multi-Model Context Merger)
+
+<span class="category-badge filter">Filter</span>
+<span class="version-badge">v0.1.0</span>
+
+自动合并上一轮中多个模型的回答上下文，实现协作问答。
+
+---
+
+## 概述
+
+此过滤器检测上一轮是否由多个模型回复（例如使用“竞技场”模式或选择了多个模型）。它将这些回复合并并作为上下文注入到当前轮次，使下一个模型能够看到其他模型之前所说的内容。
+
+## 功能特性
+
+- :material-merge: **自动合并**: 将多个模型的回复合并为单个上下文块。
+- :material-format-list-group: **结构化注入**: 使用类似 XML 的标签 (`<response>`) 分隔不同模型的输出。
+- :material-robot-confused: **协作**: 允许模型基于彼此的回答进行构建或评论。
+
+---
+
+## 安装
+
+1. 下载插件文件: [`multi_model_context_merger.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters)
+2. 上传到 OpenWebUI: **管理员面板** → **设置** → **函数**
+3. 启用过滤器。
+
+---
+
+## 使用方法
+
+1. 在聊天中选择 **多个模型** (或使用竞技场模式)。
+2. 提问。所有模型都会回答。
+3. 提出后续问题。
+4. 过滤器会将所有模型之前的回答注入到当前模型的上下文中。

docs/plugins/filters/web-gemini-multimodel.md

@@ -0,0 +1,51 @@
+# Web Gemini Multimodal Filter
+
+<span class="category-badge filter">Filter</span>
+<span class="version-badge">v0.3.2</span>
+
+A powerful filter that provides multimodal capabilities (PDF, Office, Images, Audio, Video) to any model in OpenWebUI.
+
+---
+
+## Overview
+
+This plugin enables multimodal processing for any model by leveraging Gemini as an analyzer. It supports direct file processing for Gemini models and "Analyzer Mode" for other models (like DeepSeek, Llama), where Gemini analyzes the file and injects the result as context.
+
+## Features
+
+- :material-file-document-multiple: **Multimodal Support**: Process PDF, Word, Excel, PowerPoint, EPUB, MP3, MP4, and Images.
+- :material-router-network: **Smart Routing**:
+    - **Direct Mode**: Files are passed directly to Gemini models.
+    - **Analyzer Mode**: Files are analyzed by Gemini, and results are injected into the context for other models.
+- :material-history: **Persistent Context**: Maintains session history across multiple turns using OpenWebUI Chat ID.
+- :material-database-check: **Deduplication**: Automatically tracks analyzed file hashes to prevent redundant processing.
+- :material-subtitles: **Subtitle Enhancement**: Specialized mode for generating high-quality SRT subtitles from video/audio.
+
+---
+
+## Installation
+
+1. Download the plugin file: [`web_gemini_multimodel.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/web_gemini_multimodel_filter)
+2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
+3. Configure the Gemini Adapter URL and other settings.
+4. Enable the filter globally or per chat.
+
+---
+
+## Configuration
+
+| Option | Type | Default | Description |
+|--------|------|---------|-------------|
+| `gemini_adapter_url` | string | `http://...` | URL of the Gemini Adapter service |
+| `target_model_keyword` | string | `"webgemini"` | Keyword to identify Gemini models |
+| `mode` | string | `"auto"` | `auto`, `direct`, or `analyzer` |
+| `analyzer_base_model_id` | string | `"gemini-3.0-pro"` | Model used for document analysis |
+| `subtitle_keywords` | string | `"字幕,srt"` | Keywords to trigger subtitle flow |
+
+---
+
+## Usage
+
+1. **Upload a file** (PDF, Image, Video, etc.) in the chat.
+2. **Ask a question** about the file.
+3. The plugin will automatically process the file and provide context to your selected model.

docs/plugins/filters/web-gemini-multimodel.zh.md

@@ -0,0 +1,51 @@
+# Web Gemini 多模态过滤器
+
+<span class="category-badge filter">Filter</span>
+<span class="version-badge">v0.3.2</span>
+
+一个强大的过滤器，为 OpenWebUI 中的任何模型提供多模态能力：PDF、Office、图片、音频、视频等。
+
+---
+
+## 概述
+
+此插件利用 Gemini 作为分析器，为任何模型提供多模态处理能力。它支持 Gemini 模型的直接文件处理，以及其他模型（如 DeepSeek, Llama）的“分析器模式”，即由 Gemini 分析文件并将结果注入上下文。
+
+## 功能特性
+
+- :material-file-document-multiple: **多模态支持**: 处理 PDF, Word, Excel, PowerPoint, EPUB, MP3, MP4 和图片。
+- :material-router-network: **智能路由**:
+    - **直连模式 (Direct Mode)**: 对于 Gemini 模型，文件直接传递（原生多模态）。
+    - **分析器模式 (Analyzer Mode)**: 对于非 Gemini 模型，文件由 Gemini 分析，结果注入为上下文。
+- :material-history: **持久上下文**: 利用 OpenWebUI 的 Chat ID 跨多轮对话维护会话历史。
+- :material-database-check: **数据库去重**: 自动记录已分析文件的哈希值，防止重复上传和分析。
+- :material-subtitles: **字幕增强**: 针对视频/音频上传的专用模式，生成高质量 SRT 字幕。
+
+---
+
+## 安装
+
+1. 下载插件文件: [`web_gemini_multimodel.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/filters/web_gemini_multimodel_filter)
+2. 上传到 OpenWebUI: **管理员面板** → **设置** → **函数**
+3. 配置 Gemini Adapter URL 和其他设置。
+4. 启用过滤器。
+
+---
+
+## 配置
+
+| 选项 | 类型 | 默认值 | 描述 |
+|------|------|--------|------|
+| `gemini_adapter_url` | string | `http://...` | Gemini Adapter 服务的 URL |
+| `target_model_keyword` | string | `"webgemini"` | 识别 Gemini 模型的关键字 |
+| `mode` | string | `"auto"` | `auto` (自动), `direct` (直连), 或 `analyzer` (分析器) |
+| `analyzer_base_model_id` | string | `"gemini-3.0-pro"` | 用于文档分析的模型 |
+| `subtitle_keywords` | string | `"字幕,srt"` | 触发字幕流程的关键字 |
+
+---
+
+## 使用方法
+
+1. 在聊天中 **上传文件** (PDF, 图片, 视频等)。
+2. 关于文件 **提问**。
+3. 插件会自动处理文件并为所选模型提供上下文。

docs/plugins/index.md

@@ -48,15 +48,15 @@ OpenWebUI supports four types of plugins, each serving a different purpose:
 
 | Plugin | Type | Description | Version |
 |--------|------|-------------|---------|
-| [Smart Mind Map](actions/smart-mind-map.md) | Action | Generate interactive mind maps from text | 0.8.0 |
-| [Smart Infographic](actions/smart-infographic.md) | Action | Transform text into professional infographics | 1.0.0 |
-| [Knowledge Card](actions/knowledge-card.md) | Action | Create beautiful learning flashcards | 0.2.0 |
-| [Export to Excel](actions/export-to-excel.md) | Action | Export chat history to Excel files | 1.0.0 |
-| [Export to Word](actions/export-to-word.md) | Action | Export chat content to Word (.docx) with formatting | 0.1.0 |
-| [Async Context Compression](filters/async-context-compression.md) | Filter | Intelligent context compression | 1.0.0 |
-| [Context Enhancement](filters/context-enhancement.md) | Filter | Enhance chat context | 1.0.0 |
-| [Gemini Manifold Companion](filters/gemini-manifold-companion.md) | Filter | Companion for Gemini Manifold | 1.0.0 |
-| [Gemini Manifold](pipes/gemini-manifold.md) | Pipe | Gemini model integration | 1.0.0 |
+| [Smart Mind Map](actions/smart-mind-map.md) | Action | Generate interactive mind maps from text | 0.9.1 |
+| [Smart Infographic](actions/smart-infographic.md) | Action | Transform text into professional infographics | 1.4.9 |
+| [Flash Card](actions/flash-card.md) | Action | Create beautiful learning flashcards | 0.2.4 |
+| [Export to Excel](actions/export-to-excel.md) | Action | Export chat history to Excel files | 0.3.7 |
+| [Export to Word](actions/export-to-word.md) | Action | Export chat content to Word (.docx) with formatting | 0.4.3 |
+| [Async Context Compression](filters/async-context-compression.md) | Filter | Intelligent context compression | 1.1.3 |
+| [Context Enhancement](filters/context-enhancement.md) | Filter | Enhance chat context | 0.3.0 |
+| [Multi-Model Context Merger](filters/multi-model-context-merger.md) | Filter | Merge context from multiple models | 0.1.0 |
+| [Web Gemini Multimodal Filter](filters/web-gemini-multimodel.md) | Filter | Multimodal capabilities for any model | 0.3.2 |
 | [MoE Prompt Refiner](pipelines/moe-prompt-refiner.md) | Pipeline | Multi-model prompt refinement | 1.0.0 |
 
 ---

docs/plugins/index.zh.md

@@ -48,15 +48,15 @@ OpenWebUI 支持四种类型的插件，每种都有不同的用途：
 
 | 插件 | 类型 | 描述 | 版本 |
 |--------|------|-------------|---------|
-| [Smart Mind Map（智能思维导图）](actions/smart-mind-map.md) | Action | 从文本生成交互式思维导图 | 0.8.0 |
-| [Smart Infographic（智能信息图）](actions/smart-infographic.md) | Action | 将文本转成专业信息图 | 1.0.0 |
-| [Knowledge Card（知识卡片）](actions/knowledge-card.md) | Action | 生成精美学习卡片 | 0.2.0 |
-| [Export to Excel（导出到 Excel）](actions/export-to-excel.md) | Action | 导出聊天记录为 Excel | 1.0.0 |
-| [Export to Word（导出为 Word）](actions/export-to-word.md) | Action | 将聊天内容导出为 Word (.docx) 并保留格式 | 0.1.0 |
-| [Async Context Compression（异步上下文压缩）](filters/async-context-compression.md) | Filter | 智能上下文压缩 | 1.0.0 |
-| [Context Enhancement（上下文增强）](filters/context-enhancement.md) | Filter | 提升对话上下文 | 1.0.0 |
-| [Gemini Manifold Companion](filters/gemini-manifold-companion.md) | Filter | Gemini Manifold 伴侣 | 1.0.0 |
-| [Gemini Manifold](pipes/gemini-manifold.md) | Pipe | Gemini 模型集成 | 1.0.0 |
+| [Smart Mind Map（智能思维导图）](actions/smart-mind-map.md) | Action | 从文本生成交互式思维导图 | 0.9.1 |
+| [Smart Infographic（智能信息图）](actions/smart-infographic.md) | Action | 将文本转成专业信息图 | 1.4.9 |
+| [Flash Card（闪记卡）](actions/flash-card.md) | Action | 生成精美学习卡片 | 0.2.4 |
+| [Export to Excel（导出到 Excel）](actions/export-to-excel.md) | Action | 导出聊天记录为 Excel | 0.3.7 |
+| [Export to Word（导出为 Word）](actions/export-to-word.md) | Action | 将聊天内容导出为 Word (.docx) 并保留格式 | 0.4.3 |
+| [Async Context Compression（异步上下文压缩）](filters/async-context-compression.md) | Filter | 智能上下文压缩 | 1.1.3 |
+| [Context Enhancement（上下文增强）](filters/context-enhancement.md) | Filter | 提升对话上下文 | 0.3.0 |
+| [Multi-Model Context Merger（多模型上下文合并）](filters/multi-model-context-merger.md) | Filter | 合并多个模型的上下文 | 0.1.0 |
+| [Web Gemini Multimodal Filter（Web Gemini 多模态过滤器）](filters/web-gemini-multimodel.md) | Filter | 为任何模型提供多模态能力 | 0.3.2 |
 | [MoE Prompt Refiner](pipelines/moe-prompt-refiner.md) | Pipeline | 多模型提示词优化 | 1.0.0 |
 
 ---

docs/plugins/pipes/gemini-manifold.md

@@ -1,106 +0,0 @@
-# Gemini Manifold
-
-<span class="category-badge pipe">Pipe</span>
-<span class="version-badge">v1.0.0</span>
-
-Integration pipeline for Google's Gemini models with full streaming support.
-
----
-
-## Overview
-
-The Gemini Manifold pipe provides seamless integration with Google's Gemini AI models. It exposes Gemini models as selectable options in OpenWebUI, allowing you to use them just like any other model.
-
-## Features
-
-- :material-google: **Full Gemini Support**: Access all Gemini model variants
-- :material-stream: **Streaming**: Real-time response streaming
-- :material-image: **Multimodal**: Support for images and text
-- :material-shield: **Error Handling**: Robust error management
-- :material-tune: **Configurable**: Customize model parameters
-
----
-
-## Installation
-
-1. Download the plugin file: [`gemini_manifold.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold)
-2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
-3. Configure your Gemini API key
-4. Select Gemini models from the model dropdown
-
----
-
-## Configuration
-
-| Option | Type | Required | Description |
-|--------|------|----------|-------------|
-| `GEMINI_API_KEY` | string | Yes | Your Google AI Studio API key |
-| `DEFAULT_MODEL` | string | No | Default Gemini model to use |
-| `TEMPERATURE` | float | No | Response temperature (0-1) |
-| `MAX_TOKENS` | integer | No | Maximum response tokens |
-
----
-
-## Available Models
-
-When configured, the following models become available:
-
-- `gemini-pro` - Text-only model
-- `gemini-pro-vision` - Multimodal model
-- `gemini-1.5-pro` - Latest Pro model
-- `gemini-1.5-flash` - Fast response model
-
----
-
-## Usage
-
-1. After installation, go to any chat
-2. Open the model selector dropdown
-3. Look for models prefixed with your pipe name
-4. Select a Gemini model
-5. Start chatting!
-
----
-
-## Getting an API Key
-
-1. Visit [Google AI Studio](https://makersuite.google.com/app/apikey)
-2. Create a new API key
-3. Copy the key and paste it in the plugin configuration
-
-!!! warning "API Key Security"
-    Keep your API key secure. Never share it publicly or commit it to version control.
-
----
-
-## Companion Filter
-
-For enhanced functionality, consider installing the [Gemini Manifold Companion](../filters/gemini-manifold-companion.md) filter.
-
----
-
-## Requirements
-
-!!! note "Prerequisites"
-    - OpenWebUI v0.3.0 or later
-    - Valid Gemini API key
-    - Internet access to Google AI APIs
-
----
-
-## Troubleshooting
-
-??? question "Models not appearing?"
-    Ensure your API key is correctly configured and the plugin is enabled.
-
-??? question "API errors?"
-    Check your API key validity and quota limits in Google AI Studio.
-
-??? question "Slow responses?"
-    Consider using `gemini-1.5-flash` for faster response times.
-
----
-
-## Source Code
-
-[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold){ .md-button }

docs/plugins/pipes/gemini-manifold.zh.md

@@ -1,106 +0,0 @@
-# Gemini Manifold
-
-<span class="category-badge pipe">Pipe</span>
-<span class="version-badge">v1.0.0</span>
-
-面向 Google Gemini 模型的集成流水线，支持完整流式返回。
-
----
-
-## 概览
-
-Gemini Manifold Pipe 提供与 Google Gemini AI 模型的无缝集成。它会将 Gemini 模型作为可选项暴露在 OpenWebUI 中，你可以像使用其他模型一样使用它们。
-
-## 功能特性
-
-- :material-google: **完整 Gemini 支持**：可使用所有 Gemini 模型变体
-- :material-stream: **流式输出**：实时流式响应
-- :material-image: **多模态**：支持图像与文本
-- :material-shield: **错误处理**：健壮的错误管理
-- :material-tune: **可配置**：可自定义模型参数
-
----
-
-## 安装
-
-1. 下载插件文件：[`gemini_manifold.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold)
-2. 上传到 OpenWebUI：**Admin Panel** → **Settings** → **Functions**
-3. 配置你的 Gemini API Key
-4. 在模型下拉中选择 Gemini 模型
-
----
-
-## 配置
-
-| 选项 | 类型 | 是否必填 | 说明 |
-|--------|------|----------|-------------|
-| `GEMINI_API_KEY` | string | 是 | 你的 Google AI Studio API Key |
-| `DEFAULT_MODEL` | string | 否 | 默认使用的 Gemini 模型 |
-| `TEMPERATURE` | float | 否 | 输出温度（0-1） |
-| `MAX_TOKENS` | integer | 否 | 最大回复 token 数 |
-
----
-
-## 可用模型
-
-配置完成后，你可以选择以下模型：
-
-- `gemini-pro` —— 纯文本模型
-- `gemini-pro-vision` —— 多模态模型
-- `gemini-1.5-pro` —— 最新 Pro 模型
-- `gemini-1.5-flash` —— 快速响应模型
-
----
-
-## 使用方法
-
-1. 安装后进入任意对话
-2. 打开模型选择下拉
-3. 查找以 Pipe 名称前缀的模型
-4. 选择 Gemini 模型
-5. 开始聊天！
-
----
-
-## 获取 API Key
-
-1. 访问 [Google AI Studio](https://makersuite.google.com/app/apikey)
-2. 创建新的 API Key
-3. 复制并粘贴到插件配置中
-
-!!! warning "API Key 安全"
-    请妥善保管你的 API Key，不要公开或提交到版本库。
-
----
-
-## 伴随过滤器
-
-如需增强功能，可安装 [Gemini Manifold Companion](../filters/gemini-manifold-companion.md) 过滤器。
-
----
-
-## 运行要求
-
-!!! note "前置条件"
-    - OpenWebUI v0.3.0 及以上
-    - 有效的 Gemini API Key
-    - 可访问 Google AI API 的网络
-
----
-
-## 常见问题
-
-??? question "模型没有出现？"
-    请确认 API Key 配置正确且插件已启用。
-
-??? question "出现 API 错误？"
-    检查 Google AI Studio 中的 Key 有效性和额度限制。
-
-??? question "响应较慢？"
-    可尝试使用 `gemini-1.5-flash` 获得更快速度。
-
----
-
-## 源码
-
-[:fontawesome-brands-github: 在 GitHub 查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold){ .md-button }

docs/plugins/pipes/index.md

@@ -15,19 +15,7 @@ Pipes allow you to:
 
 ## Available Pipe Plugins
 
-<div class="grid cards" markdown>
 
--   :material-google:{ .lg .middle } **Gemini Manifold**
-
-    ---
-
-    Integration pipeline for Google's Gemini models with full streaming support.
-
-    **Version:** 1.0.0
-
-    [:octicons-arrow-right-24: Documentation](gemini-manifold.md)
-
-</div>
 
 ---
 

docs/plugins/pipes/index.zh.md

@@ -15,19 +15,7 @@ Pipes 可以用于：
 
 ## 可用的 Pipe 插件
 
-<div class="grid cards" markdown>
 
--   :material-google:{ .lg .middle } **Gemini Manifold**
-
-    ---
-
-    面向 Google Gemini 的集成流水线，支持完整流式返回。
-
-    **版本：** 1.0.0
-
-    [:octicons-arrow-right-24: 查看文档](gemini-manifold.md)
-
-</div>
 
 ---
 

mkdocs.yml

@@ -97,14 +97,14 @@ plugins:
             Documentation Guide: 文档编写指南
             Smart Mind Map: 智能思维导图
             Smart Infographic: 智能信息图
-            Knowledge Card: 知识卡片
+            Flash Card: 闪记卡
             Export to Excel: 导出到 Excel
             Export to Word: 导出为 Word
             Summary: 摘要
             Async Context Compression: 异步上下文压缩
             Context Enhancement: 上下文增强
-            Gemini Manifold Companion: Gemini Manifold 伴侣
-            Gemini Manifold: Gemini Manifold
+            Multi-Model Context Merger: 多模型上下文合并
+            Web Gemini Multimodal Filter: Web Gemini 多模态过滤器
             MoE Prompt Refiner: MoE 提示词优化器
   - minify:
       minify_html: true
@@ -184,17 +184,17 @@ nav:
       - plugins/actions/index.md
       - Smart Mind Map: plugins/actions/smart-mind-map.md
       - Smart Infographic: plugins/actions/smart-infographic.md
-      - Knowledge Card: plugins/actions/knowledge-card.md
+      - Flash Card: plugins/actions/flash-card.md
       - Export to Excel: plugins/actions/export-to-excel.md
       - Export to Word: plugins/actions/export-to-word.md
     - Filters:
       - plugins/filters/index.md
       - Async Context Compression: plugins/filters/async-context-compression.md
       - Context Enhancement: plugins/filters/context-enhancement.md
-      - Gemini Manifold Companion: plugins/filters/gemini-manifold-companion.md
+      - Multi-Model Context Merger: plugins/filters/multi-model-context-merger.md
+      - Web Gemini Multimodal Filter: plugins/filters/web-gemini-multimodel.md
     - Pipes:
       - plugins/pipes/index.md
-      - Gemini Manifold: plugins/pipes/gemini-manifold.md
     - Pipelines:
       - plugins/pipelines/index.md
       - MoE Prompt Refiner: plugins/pipelines/moe-prompt-refiner.md

plugins/actions/deep-dive/README.md

@@ -1,6 +1,6 @@
 # 🌊 Deep Dive
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.0.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.0.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.
 

plugins/actions/deep-dive/README_CN.md

@@ -1,6 +1,6 @@
 # 📖 精读
 
-**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 1.0.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 1.0.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 全方位的思维透镜 —— 从背景全景到逻辑脉络，从深度洞察到行动路径。
 

plugins/actions/deep-dive/deep_dive.py

@@ -1,8 +1,8 @@
 """
 title: Deep Dive
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 1.0.0
 icon_url: data:image/svg+xml;base64,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
 requirements: markdown
@@ -466,6 +466,10 @@ class Action:
             default=True,
             description="Whether to show operation status updates.",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
         MODEL_ID: str = Field(
             default="",
             description="LLM Model ID for analysis. Empty = use current model.",
@@ -501,6 +505,42 @@ class Action:
             "user_language": user_data.get("language", "en-US"),
         }
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
+
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     def _process_llm_output(self, llm_output: str) -> Dict[str, str]:
         """Parse LLM output and convert to styled HTML."""
         # Extract sections using flexible regex
@@ -700,6 +740,26 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """Removes existing plugin-generated HTML."""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"

plugins/actions/deep-dive/deep_dive_cn.py

@@ -1,8 +1,8 @@
 """
 title: 精读
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 1.0.0
 icon_url: data:image/svg+xml;base64,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
 requirements: markdown
@@ -466,6 +466,10 @@ class Action:
             default=True,
             description="是否显示操作状态更新。",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
         MODEL_ID: str = Field(
             default="",
             description="用于分析的 LLM 模型 ID。留空则使用当前模型。",
@@ -501,6 +505,42 @@ class Action:
             "user_language": user_data.get("language", "zh-CN"),
         }
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     def _process_llm_output(self, llm_output: str) -> Dict[str, str]:
         """解析 LLM 输出并转换为样式化 HTML。"""
         # 使用灵活的正则提取各部分
@@ -694,6 +734,26 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """移除已有的插件生成的 HTML。"""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"

plugins/actions/export_to_docx/README.md

@@ -1,6 +1,6 @@
 # 📝 Export to Word (Enhanced)
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.4.3 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.4.3 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 Export conversation to Word (.docx) with **syntax highlighting**, **native math equations**, **Mermaid diagrams**, **citations**, and **enhanced table formatting**.
 

plugins/actions/export_to_docx/README_CN.md

@@ -1,6 +1,6 @@
 # 📝 导出为 Word (增强版)
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.4.3 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.4.3 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 将对话导出为 Word (.docx)，支持**代码语法高亮**、**原生数学公式**、**Mermaid 图表**、**引用参考**和**增强表格格式**。
 

plugins/actions/export_to_docx/export_to_word.py

@@ -1,8 +1,8 @@
 """
 title: Export to Word (Enhanced)
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.4.3
 openwebui_id: fca6a315-2a45-42cc-8c96-55cbc85f87f2
 icon_url: data:image/svg+xml;base64,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
@@ -150,6 +150,14 @@ class Action:
             default="chat_title",
             description="Title Source: 'chat_title' (Chat Title), 'ai_generated' (AI Generated), 'markdown_title' (Markdown Title)",
         )
+        SHOW_STATUS: bool = Field(
+            default=True,
+            description="Whether to show operation status updates.",
+        )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
 
         MAX_EMBED_IMAGE_MB: int = Field(
             default=20,
@@ -320,10 +328,100 @@ class Action:
                 return msg
         return msg
 
-    async def _send_notification(self, emitter: Callable, type: str, content: str):
-        await emitter(
-            {"type": "notification", "data": {"type": type, "content": content}}
-        )
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """Safely extracts user context information."""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "User"),
+            "user_language": user_data.get("language", "en-US"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
+
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
+    async def _emit_status(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        description: str,
+        done: bool = False,
+    ):
+        """Emits a status update event."""
+        if self.valves.SHOW_STATUS and emitter:
+            await emitter(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    async def _emit_notification(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        content: str,
+        ntype: str = "info",
+    ):
+        """Emits a notification event (info, success, warning, error)."""
+        if emitter:
+            await emitter(
+                {"type": "notification", "data": {"type": ntype, "content": content}}
+            )
+
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
 
     async def action(
         self,
@@ -397,14 +495,15 @@ class Action:
                     message_content = self._strip_reasoning_blocks(message_content)
 
                 if not message_content or not message_content.strip():
-                    await self._send_notification(
-                        __event_emitter__, "error", self._get_msg("error_no_content")
+                    await self._emit_notification(
+                        __event_emitter__, self._get_msg("error_no_content"), "error"
                     )
                     return
 
                 # Generate filename
                 title = ""
-                chat_id = self.extract_chat_id(body, __metadata__)
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
 
                 # Fetch chat_title directly via chat_id as it's usually missing in body
                 chat_title = ""
@@ -873,10 +972,10 @@ class Action:
                     }
                 )
 
-                await self._send_notification(
+                await self._emit_notification(
                     __event_emitter__,
-                    "success",
                     self._get_msg("success", filename=filename),
+                    "success",
                 )
 
                 return {"message": "Download triggered"}
@@ -892,10 +991,10 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
+                await self._emit_notification(
                     __event_emitter__,
-                    "error",
                     self._get_msg("error_export", error=str(e)),
+                    "error",
                 )
 
     async def generate_title_using_ai(

plugins/actions/export_to_docx/export_to_word_cn.py

@@ -1,8 +1,8 @@
 """
 title: 导出为 Word (增强版)
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.4.3
 openwebui_id: 8a6306c0-d005-4e46-aaae-8db3532c9ed5
 icon_url: data:image/svg+xml;base64,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
@@ -150,6 +150,14 @@ class Action:
             default="chat_title",
             description="Title Source: 'chat_title' (Chat Title), 'ai_generated' (AI Generated), 'markdown_title' (Markdown Title)",
         )
+        SHOW_STATUS: bool = Field(
+            default=True,
+            description="是否显示操作状态更新。",
+        )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
 
         最大嵌入图片大小MB: int = Field(
             default=20,
@@ -320,10 +328,100 @@ class Action:
                 return msg
         return msg
 
-    async def _send_notification(self, emitter: Callable, type: str, content: str):
-        await emitter(
-            {"type": "notification", "data": {"type": type, "content": content}}
-        )
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """安全提取用户上下文信息。"""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "用户"),
+            "user_language": user_data.get("language", "zh-CN"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
+    async def _emit_status(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        description: str,
+        done: bool = False,
+    ):
+        """Emits a status update event."""
+        if self.valves.SHOW_STATUS and emitter:
+            await emitter(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    async def _emit_notification(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        content: str,
+        ntype: str = "info",
+    ):
+        """Emits a notification event (info, success, warning, error)."""
+        if emitter:
+            await emitter(
+                {"type": "notification", "data": {"type": ntype, "content": content}}
+            )
+
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
 
     async def action(
         self,
@@ -395,14 +493,15 @@ class Action:
                     message_content = self._strip_reasoning_blocks(message_content)
 
                 if not message_content or not message_content.strip():
-                    await self._send_notification(
-                        __event_emitter__, "error", self._get_msg("error_no_content")
+                    await self._emit_notification(
+                        __event_emitter__, self._get_msg("error_no_content"), "error"
                     )
                     return
 
                 # Generate filename
                 title = ""
-                chat_id = self.extract_chat_id(body, __metadata__)
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
 
                 # Fetch chat_title directly via chat_id as it's usually missing in body
                 chat_title = ""
@@ -871,10 +970,10 @@ class Action:
                     }
                 )
 
-                await self._send_notification(
+                await self._emit_notification(
                     __event_emitter__,
-                    "success",
                     self._get_msg("success", filename=filename),
+                    "success",
                 )
 
                 return {"message": "Download triggered"}
@@ -890,10 +989,10 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
+                await self._emit_notification(
                     __event_emitter__,
-                    "error",
                     self._get_msg("error_export", error=str(e)),
+                    "error",
                 )
 
     async def generate_title_using_ai(

plugins/actions/export_to_excel/export_to_excel.py

@@ -1,8 +1,8 @@
 """
 title: Export to Excel
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.3.7
 openwebui_id: 244b8f9d-7459-47d6-84d3-c7ae8e3ec710
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGQ9Ik0xNSAySDZhMiAyIDAgMCAwLTIgMnYxNmEyIDIgMCAwIDAgMiAyaDEyYTIgMiAwIDAgMCAyLTJWN1oiLz48cGF0aCBkPSJNMTQgMnY0YTIgMiAwIDAgMCAyIDJoNCIvPjxwYXRoIGQ9Ik04IDEzaDIiLz48cGF0aCBkPSJNMTQgMTNoMiIvPjxwYXRoIGQ9Ik04IDE3aDIiLz48cGF0aCBkPSJNMTQgMTdoMiIvPjwvc3ZnPg==
@@ -32,6 +32,10 @@ class Action:
             default="chat_title",
             description="Title Source: 'chat_title' (Chat Title), 'ai_generated' (AI Generated), 'markdown_title' (Markdown Title)",
         )
+        SHOW_STATUS: bool = Field(
+            default=True,
+            description="Whether to show operation status updates.",
+        )
         EXPORT_SCOPE: Literal["last_message", "all_messages"] = Field(
             default="last_message",
             description="Export Scope: 'last_message' (Last Message Only), 'all_messages' (All Messages)",
@@ -40,14 +44,57 @@ class Action:
             default="",
             description="Model ID for AI title generation. Leave empty to use the current chat model.",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
 
-    async def _send_notification(self, emitter: Callable, type: str, content: str):
-        await emitter(
-            {"type": "notification", "data": {"type": type, "content": content}}
-        )
+    async def _emit_status(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        description: str,
+        done: bool = False,
+    ):
+        """Emits a status update event."""
+        if self.valves.SHOW_STATUS and emitter:
+            await emitter(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    async def _emit_notification(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        content: str,
+        ntype: str = "info",
+    ):
+        """Emits a notification event (info, success, warning, error)."""
+        if emitter:
+            await emitter(
+                {"type": "notification", "data": {"type": ntype, "content": content}}
+            )
+
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
 
     async def action(
         self,
@@ -190,17 +237,18 @@ class Action:
                 # Notify user about the number of tables found
                 table_count = len(all_tables)
                 if self.valves.EXPORT_SCOPE == "all_messages":
-                    await self._send_notification(
+                    await self._emit_notification(
                         __event_emitter__,
-                        "info",
                         f"Found {table_count} table(s) in all messages.",
+                        "info",
                     )
                     # Wait a moment for user to see the notification before download dialog
                     await asyncio.sleep(1.5)
                 # Generate Workbook Title (Filename)
                 # Use the title of the chat, or the first header of the first message with tables
                 title = ""
-                chat_id = self.extract_chat_id(body, None)
+                chat_ctx = self._get_chat_context(body, None)
+                chat_id = chat_ctx["chat_id"]
                 chat_title = ""
                 if chat_id:
                     chat_title = await self.fetch_chat_title(chat_id, user_id)
@@ -330,8 +378,8 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
-                    __event_emitter__, "error", "No tables found to export!"
+                await self._emit_notification(
+                    __event_emitter__, "No tables found to export!", "error"
                 )
                 raise e
             except Exception as e:
@@ -345,8 +393,8 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
-                    __event_emitter__, "error", "No tables found to export!"
+                await self._emit_notification(
+                    __event_emitter__, "No tables found to export!", "error"
                 )
 
     async def generate_title_using_ai(
@@ -389,20 +437,20 @@ class Action:
             async def notification_task():
                 # Send initial notification immediately
                 if event_emitter:
-                    await self._send_notification(
+                    await self._emit_notification(
                         event_emitter,
-                        "info",
                         "AI is generating a filename for your Excel file...",
+                        "info",
                     )
 
                 # Subsequent notifications every 5 seconds
                 while True:
                     await asyncio.sleep(5)
                     if event_emitter:
-                        await self._send_notification(
+                        await self._emit_notification(
                             event_emitter,
-                            "info",
                             "Still generating filename, please be patient...",
+                            "info",
                         )
 
             # Run tasks concurrently
@@ -432,10 +480,10 @@ class Action:
         except Exception as e:
             print(f"Error generating title: {e}")
             if event_emitter:
-                await self._send_notification(
+                await self._emit_notification(
                     event_emitter,
-                    "warning",
                     f"AI title generation failed, using default title. Error: {str(e)}",
+                    "warning",
                 )
 
         return ""
@@ -450,24 +498,56 @@ class Action:
                 return match.group(1).strip()
         return ""
 
-    def extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract chat_id from body or metadata"""
-        if isinstance(body, dict):
-            chat_id = body.get("chat_id") or body.get("id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """Safely extracts user context information."""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
 
-            for key in ("chat", "conversation"):
-                nested = body.get(key)
-                if isinstance(nested, dict):
-                    nested_id = nested.get("id") or nested.get("chat_id")
-                    if isinstance(nested_id, str) and nested_id.strip():
-                        return nested_id.strip()
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
-        return ""
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "User"),
+            "user_language": user_data.get("language", "en-US"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
+
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     async def fetch_chat_title(self, chat_id: str, user_id: str = "") -> str:
         """Fetch chat title from database by chat_id"""

plugins/actions/export_to_excel/export_to_excel_cn.py

@@ -1,8 +1,8 @@
 """
 title: 导出为 Excel
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.3.7
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwYXRoIGQ9Ik0xNSAySDZhMiAyIDAgMCAwLTIgMnYxNmEyIDIgMCAwIDAgMiAyaDEyYTIgMiAwIDAgMCAyLTJWN1oiLz48cGF0aCBkPSJNMTQgMnY0YTIgMiAwIDAgMCAyIDJoNCIvPjxwYXRoIGQ9Ik04IDEzaDIiLz48cGF0aCBkPSJNMTQgMTNoMiIvPjxwYXRoIGQ9Ik04IDE3aDIiLz48cGF0aCBkPSJNMTQgMTdoMiIvPjwvc3ZnPg==
 description: 从聊天消息中提取表格并导出为 Excel (.xlsx) 文件，支持智能格式化。
@@ -31,6 +31,10 @@ class Action:
             default="chat_title",
             description="标题来源: 'chat_title' (对话标题), 'ai_generated' (AI生成), 'markdown_title' (Markdown标题)",
         )
+        SHOW_STATUS: bool = Field(
+            default=True,
+            description="是否显示操作状态更新。",
+        )
         EXPORT_SCOPE: Literal["last_message", "all_messages"] = Field(
             default="last_message",
             description="导出范围: 'last_message' (仅最后一条消息), 'all_messages' (所有消息)",
@@ -39,14 +43,57 @@ class Action:
             default="",
             description="AI 标题生成模型 ID。留空则使用当前对话模型。",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
 
-    async def _send_notification(self, emitter: Callable, type: str, content: str):
-        await emitter(
-            {"type": "notification", "data": {"type": type, "content": content}}
-        )
+    async def _emit_status(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        description: str,
+        done: bool = False,
+    ):
+        """Emits a status update event."""
+        if self.valves.SHOW_STATUS and emitter:
+            await emitter(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    async def _emit_notification(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        content: str,
+        ntype: str = "info",
+    ):
+        """Emits a notification event (info, success, warning, error)."""
+        if emitter:
+            await emitter(
+                {"type": "notification", "data": {"type": ntype, "content": content}}
+            )
+
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
 
     async def action(
         self,
@@ -180,17 +227,18 @@ class Action:
                 # 通知用户提取到的表格数量
                 table_count = len(all_tables)
                 if self.valves.EXPORT_SCOPE == "all_messages":
-                    await self._send_notification(
+                    await self._emit_notification(
                         __event_emitter__,
-                        "info",
                         f"从所有消息中提取到 {table_count} 个表格。",
+                        "info",
                     )
                     # 等待片刻让用户看到通知，再触发下载
                     await asyncio.sleep(1.5)
 
                 # Generate Workbook Title (Filename)
                 title = ""
-                chat_id = self.extract_chat_id(body, None)
+                chat_ctx = self._get_chat_context(body, None)
+                chat_id = chat_ctx["chat_id"]
                 chat_title = ""
                 if chat_id:
                     chat_title = await self.fetch_chat_title(chat_id, user_id)
@@ -318,8 +366,8 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
-                    __event_emitter__, "error", "未找到可导出的表格！"
+                await self._emit_notification(
+                    __event_emitter__, "未找到可导出的表格！", "error"
                 )
                 raise e
             except Exception as e:
@@ -333,8 +381,8 @@ class Action:
                         },
                     }
                 )
-                await self._send_notification(
-                    __event_emitter__, "error", "未找到可导出的表格！"
+                await self._emit_notification(
+                    __event_emitter__, "未找到可导出的表格！", "error"
                 )
 
     async def generate_title_using_ai(
@@ -377,20 +425,20 @@ class Action:
             async def notification_task():
                 # 立即发送首次通知
                 if event_emitter:
-                    await self._send_notification(
+                    await self._emit_notification(
                         event_emitter,
-                        "info",
                         "AI 正在为您生成文件名，请稍候...",
+                        "info",
                     )
 
                 # 之后每5秒通知一次
                 while True:
                     await asyncio.sleep(5)
                     if event_emitter:
-                        await self._send_notification(
+                        await self._emit_notification(
                             event_emitter,
-                            "info",
                             "文件名生成中，请耐心等待...",
+                            "info",
                         )
 
             # 并发运行任务
@@ -420,10 +468,10 @@ class Action:
         except Exception as e:
             print(f"生成标题时出错: {e}")
             if event_emitter:
-                await self._send_notification(
+                await self._emit_notification(
                     event_emitter,
-                    "warning",
                     f"AI 文件名生成失败，将使用默认名称。错误: {str(e)}",
+                    "warning",
                 )
 
         return ""
@@ -438,24 +486,56 @@ class Action:
                 return match.group(1).strip()
         return ""
 
-    def extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """从 body 或 metadata 中提取 chat_id"""
-        if isinstance(body, dict):
-            chat_id = body.get("chat_id") or body.get("id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """安全提取用户上下文信息。"""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
 
-            for key in ("chat", "conversation"):
-                nested = body.get(key)
-                if isinstance(nested, dict):
-                    nested_id = nested.get("id") or nested.get("chat_id")
-                    if isinstance(nested_id, str) and nested_id.strip():
-                        return nested_id.strip()
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
-        return ""
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "用户"),
+            "user_language": user_data.get("language", "zh-CN"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     async def fetch_chat_title(self, chat_id: str, user_id: str = "") -> str:
         """通过 chat_id 从数据库获取对话标题"""

plugins/actions/flash-card/flash_card.py

@@ -1,8 +1,8 @@
 """
 title: Flash Card
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.2.4
 openwebui_id: 65a2ea8f-2a13-4587-9d76-55eea0035cc8
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwb2x5Z29uIHBvaW50cz0iMTIgMiAyIDcgMTIgMTIgMjIgNyAxMiAyIi8+PHBvbHlsaW5lIHBvaW50cz0iMiAxNyAxMiAyMiAyMiAxNyIvPjxwb2x5bGluZSBwb2ludHM9IjIgMTIgMTIgMTcgMjIgMTIiLz48L3N2Zz4=
@@ -89,6 +89,10 @@ class Action:
             default=True,
             description="Whether to show status updates in the chat interface.",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
         CLEAR_PREVIOUS_HTML: bool = Field(
             default=False,
             description="Whether to force clear previous plugin results (if True, overwrites instead of merging).",
@@ -116,6 +120,42 @@ class Action:
             "user_language": user_data.get("language", "en-US"),
         }
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
+
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     async def action(
         self,
         body: dict,
@@ -331,6 +371,26 @@ Important Principles:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """Removes existing plugin-generated HTML code blocks from the content."""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"

plugins/actions/flash-card/flash_card_cn.py

@@ -1,8 +1,8 @@
 """
 title: 闪记卡 (Flash Card)
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.2.4
 openwebui_id: 4a31eac3-a3c4-4c30-9ca5-dab36b5fac65
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPjxwb2x5Z29uIHBvaW50cz0iMTIgMiAyIDcgMTIgMTIgMjIgNyAxMiAyIi8+PHBvbHlsaW5lIHBvaW50cz0iMiAxNyAxMiAyMiAyMiAxNyIvPjxwb2x5bGluZSBwb2ludHM9IjIgMTIgMTIgMTcgMjIgMTIiLz48L3N2Zz4=
@@ -86,6 +86,10 @@ class Action:
         SHOW_STATUS: bool = Field(
             default=True, description="是否在聊天界面显示状态更新。"
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
         CLEAR_PREVIOUS_HTML: bool = Field(
             default=False,
             description="是否强制清除旧的插件结果（如果为 True，则不合并，直接覆盖）。",
@@ -113,6 +117,42 @@ class Action:
             "user_language": user_data.get("language", "zh-CN"),
         }
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     async def action(
         self,
         body: dict,
@@ -314,6 +354,26 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            import json
+
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """移除内容中已有的插件生成 HTML 代码块 (通过标记识别)。"""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"

plugins/actions/infographic/README.md

@@ -1,6 +1,6 @@
 # 📊 Smart Infographic (AntV)
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.4.9 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.4.9 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 An Open WebUI plugin powered by the AntV Infographic engine. It transforms long text into professional, beautiful infographics with a single click.
 

plugins/actions/infographic/README_CN.md

@@ -1,6 +1,6 @@
 # 📊 智能信息图 (AntV Infographic)
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.4.9 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.4.9 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
 
 基于 AntV Infographic 引擎的 Open WebUI 插件，能够将长文本内容一键转换为专业、美观的信息图表。
 

plugins/actions/infographic/infographic.py

@@ -2,6 +2,7 @@
 title: 📊 Smart Infographic (AntV)
 author: Fu-Jie
 author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
 version: 1.4.9
 openwebui_id: ad6f0c7f-c571-4dea-821d-8e71697274cf
@@ -263,6 +264,8 @@ data
 4. **Indentation**: Use 2 spaces.
 """
 
+import json
+
 USER_PROMPT_GENERATE_INFOGRAPHIC = """
 Please analyze the following text content and convert its core information into AntV Infographic syntax format.
 
@@ -947,49 +950,64 @@ class Action:
             default="image",
             description="Output mode: 'html' for interactive HTML, or 'image' to embed as Markdown image (default).",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
 
-    def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract chat_id from body or metadata"""
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """Safely extracts user context information."""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "User"),
+            "user_language": user_data.get("language", "en-US"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
         if isinstance(body, dict):
-            chat_id = body.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
 
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                chat_id = body_metadata.get("chat_id")
-                if isinstance(chat_id, str) and chat_id.strip():
-                    return chat_id.strip()
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
 
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
 
-        return ""
-
-    def _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract message_id from body or metadata"""
-        if isinstance(body, dict):
-            message_id = body.get("id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                message_id = body_metadata.get("message_id")
-                if isinstance(message_id, str) and message_id.strip():
-                    return message_id.strip()
-
-        if isinstance(metadata, dict):
-            message_id = metadata.get("message_id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-        return ""
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     def _extract_infographic_syntax(self, llm_output: str) -> str:
         """Extract infographic syntax from LLM output"""
@@ -1018,6 +1036,24 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """Remove existing plugin-generated HTML code blocks from content"""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
@@ -1628,8 +1664,9 @@ class Action:
             # Check output mode
             if self.valves.OUTPUT_MODE == "image":
                 # Image mode: use JavaScript to render and embed as Markdown image
-                chat_id = self._extract_chat_id(body, body.get("metadata"))
-                message_id = self._extract_message_id(body, body.get("metadata"))
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
+                message_id = chat_ctx["message_id"]
 
                 await self._emit_status(
                     __event_emitter__,

plugins/actions/infographic/infographic_cn.py

@@ -2,6 +2,7 @@
 title: 📊 智能信息图 (AntV Infographic)
 author: Fu-Jie
 author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxsaW5lIHgxPSIxMiIgeTE9IjIwIiB4Mj0iMTIiIHkyPSIxMCIgLz4KICA8bGluZSB4MT0iMTgiIHkxPSIyMCIgeDI9IjE4IiB5Mj0iNCIgLz4KICA8bGluZSB4MT0iNiIgeTE9IjIwIiB4Mj0iNiIgeTI9IjE2IiAvPgo8L3N2Zz4=
 version: 1.4.9
 openwebui_id: e04a48ff-23ee-4a41-8ea7-66c19524e7c8
@@ -244,6 +245,8 @@ data
 3.  **Language**: Use the user's requested language for content.
 """
 
+import json
+
 USER_PROMPT_GENERATE_INFOGRAPHIC = """
 请分析以下文本内容，将其核心信息转换为 AntV Infographic 语法格式。
 
@@ -954,6 +957,10 @@ class Action:
             default="image",
             description="输出模式：'html' 为交互式HTML，'image' 将嵌入为Markdown图片（默认）。",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
@@ -967,45 +974,56 @@ class Action:
             "Sunday": "星期日",
         }
 
-    def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """从 body 或 metadata 中提取 chat_id"""
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        """安全提取用户上下文信息。"""
+        if isinstance(__user__, (list, tuple)):
+            user_data = __user__[0] if __user__ else {}
+        elif isinstance(__user__, dict):
+            user_data = __user__
+        else:
+            user_data = {}
+
+        return {
+            "user_id": user_data.get("id", "unknown_user"),
+            "user_name": user_data.get("name", "用户"),
+            "user_language": user_data.get("language", "zh-CN"),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
         if isinstance(body, dict):
-            chat_id = body.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
 
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                chat_id = body_metadata.get("chat_id")
-                if isinstance(chat_id, str) and chat_id.strip():
-                    return chat_id.strip()
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
 
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
 
-        return ""
-
-    def _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """从 body 或 metadata 中提取 message_id"""
-        if isinstance(body, dict):
-            message_id = body.get("id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                message_id = body_metadata.get("message_id")
-                if isinstance(message_id, str) and message_id.strip():
-                    return message_id.strip()
-
-        if isinstance(metadata, dict):
-            message_id = metadata.get("message_id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-        return ""
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     def _extract_infographic_syntax(self, llm_output: str) -> str:
         """提取LLM输出中的infographic语法"""
@@ -1058,6 +1076,24 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """移除内容中已有的插件生成 HTML 代码块"""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
@@ -1662,8 +1698,9 @@ class Action:
             # 检查输出模式
             if self.valves.OUTPUT_MODE == "image":
                 # 图片模式：使用 JavaScript 渲染并嵌入为 Markdown 图片
-                chat_id = self._extract_chat_id(body, body.get("metadata"))
-                message_id = self._extract_message_id(body, body.get("metadata"))
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
+                message_id = chat_ctx["message_id"]
 
                 await self._emit_status(
                     __event_emitter__,

plugins/actions/smart-mind-map/README.md

@@ -1,6 +1,6 @@
 # Smart Mind Map - Mind Mapping Generation Plugin
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 0.9.1 | **License:** MIT
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.9.1 | **License:** MIT
 
 > **Important**: To ensure the maintainability and usability of all plugins, each plugin should be accompanied by clear and comprehensive documentation to ensure its functionality, configuration, and usage are well explained.
 

plugins/actions/smart-mind-map/README_CN.md

@@ -1,6 +1,6 @@
 # 思维导图 - 思维导图生成插件
 
-**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 0.9.1 | **许可证:** MIT
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.9.1 | **许可证:** MIT
 
 > **重要提示**：为了确保所有插件的可维护性和易用性，每个插件都应附带清晰、完整的文档，以确保其功能、配置和使用方法得到充分说明。
 

plugins/actions/smart-mind-map/smart_mind_map.py

@@ -1,7 +1,8 @@
 """
 title: Smart Mind Map
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 funding_url: https://github.com/Fu-Jie/awesome-openwebui
 version: 0.9.1
 openwebui_id: 3094c59a-b4dd-4e0c-9449-15e2dd547dc4
@@ -49,6 +50,8 @@ Please strictly follow these guidelines:
     ```
 """
 
+import json
+
 USER_PROMPT_GENERATE_MINDMAP = """
 Please analyze the following long-form text and structure its core themes, key concepts, branches, and sub-branches into standard Markdown list syntax for Markmap.js rendering.
 
@@ -791,6 +794,10 @@ class Action:
             default="html",
             description="Output mode: 'html' for interactive HTML (default), or 'image' to embed as Markdown image.",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="Whether to print debug logs in the browser console.",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
@@ -819,45 +826,41 @@ class Action:
             "user_language": user_data.get("language", "en-US"),
         }
 
-    def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract chat_id from body or metadata"""
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
         if isinstance(body, dict):
-            chat_id = body.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
 
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                chat_id = body_metadata.get("chat_id")
-                if isinstance(chat_id, str) and chat_id.strip():
-                    return chat_id.strip()
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
 
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
 
-        return ""
-
-    def _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract message_id from body or metadata"""
-        if isinstance(body, dict):
-            message_id = body.get("id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                message_id = body_metadata.get("message_id")
-                if isinstance(message_id, str) and message_id.strip():
-                    return message_id.strip()
-
-        if isinstance(metadata, dict):
-            message_id = metadata.get("message_id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-        return ""
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     def _extract_markdown_syntax(self, llm_output: str) -> str:
         match = re.search(r"```markdown\s*(.*?)\s*```", llm_output, re.DOTALL)
@@ -884,6 +887,42 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """Print structured debug logs in the browser console"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """Removes existing plugin-generated HTML code blocks from the content."""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
@@ -1515,8 +1554,9 @@ class Action:
             # Check output mode
             if self.valves.OUTPUT_MODE == "image":
                 # Image mode: use JavaScript to render and embed as Markdown image
-                chat_id = self._extract_chat_id(body, __metadata__)
-                message_id = self._extract_message_id(body, __metadata__)
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
+                message_id = chat_ctx["message_id"]
 
                 await self._emit_status(
                     __event_emitter__,

plugins/actions/smart-mind-map/smart_mind_map_cn.py

@@ -1,8 +1,8 @@
 """
 title: 思维导图
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 version: 0.9.1
 openwebui_id: 8d4b097b-219b-4dd2-b509-05fbe6388335
 icon_url: data:image/svg+xml;base64,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
@@ -49,6 +49,8 @@ SYSTEM_PROMPT_MINDMAP_ASSISTANT = """
     ```
 """
 
+import json
+
 USER_PROMPT_GENERATE_MINDMAP = """
 请分析以下长篇文本,并将其核心主题、关键概念、分支和子分支结构化为标准的Markdown列表语法,以供Markmap.js渲染。
 
@@ -790,6 +792,10 @@ class Action:
             default="html",
             description="输出模式: 'html' 为交互式HTML(默认),'image' 为嵌入Markdown图片。",
         )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=False,
+            description="是否在浏览器控制台打印调试日志。",
+        )
 
     def __init__(self):
         self.valves = self.Valves()
@@ -818,45 +824,41 @@ class Action:
             "user_language": user_data.get("language", "zh-CN"),
         }
 
-    def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """从 body 或 metadata 中提取 chat_id"""
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
         if isinstance(body, dict):
-            chat_id = body.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
 
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                chat_id = body_metadata.get("chat_id")
-                if isinstance(chat_id, str) and chat_id.strip():
-                    return chat_id.strip()
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
 
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
 
-        return ""
-
-    def _extract_message_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """从 body 或 metadata 中提取 message_id"""
-        if isinstance(body, dict):
-            message_id = body.get("id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                message_id = body_metadata.get("message_id")
-                if isinstance(message_id, str) and message_id.strip():
-                    return message_id.strip()
-
-        if isinstance(metadata, dict):
-            message_id = metadata.get("message_id")
-            if isinstance(message_id, str) and message_id.strip():
-                return message_id.strip()
-
-        return ""
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     def _extract_markdown_syntax(self, llm_output: str) -> str:
         match = re.search(r"```markdown\s*(.*?)\s*```", llm_output, re.DOTALL)
@@ -881,6 +883,24 @@ class Action:
                 {"type": "notification", "data": {"type": ntype, "content": content}}
             )
 
+    async def _emit_debug_log(self, emitter, title: str, data: dict):
+        """在浏览器控制台打印结构化调试日志"""
+        if not self.valves.SHOW_DEBUG_LOG or not emitter:
+            return
+
+        try:
+            js_code = f"""
+                (async function() {{
+                    console.group("🛠️ {title}");
+                    console.log({json.dumps(data, ensure_ascii=False)});
+                    console.groupEnd();
+                }})();
+            """
+
+            await emitter({"type": "execute", "data": {"code": js_code}})
+        except Exception as e:
+            print(f"Error emitting debug log: {e}")
+
     def _remove_existing_html(self, content: str) -> str:
         """移除内容中已有的插件生成 HTML 代码块 (通过标记识别)。"""
         pattern = r"```html\s*<!-- OPENWEBUI_PLUGIN_OUTPUT -->[\s\S]*?```"
@@ -1508,8 +1528,9 @@ class Action:
             # 检查输出模式
             if self.valves.OUTPUT_MODE == "image":
                 # 图片模式: 使用 JavaScript 渲染并嵌入为 Markdown 图片
-                chat_id = self._extract_chat_id(body, __metadata__)
-                message_id = self._extract_message_id(body, __metadata__)
+                chat_ctx = self._get_chat_context(body, __metadata__)
+                chat_id = chat_ctx["chat_id"]
+                message_id = chat_ctx["message_id"]
 
                 await self._emit_status(
                     __event_emitter__,

plugins/filters/async-context-compression/README.md

@@ -1,6 +1,6 @@
 # Async Context Compression Filter
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.1.3 | **License:** MIT
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 1.1.3 | **License:** MIT
 
 This filter reduces token consumption in long conversations through intelligent summarization and message compression while keeping conversations coherent.
 

plugins/filters/async-context-compression/README_CN.md

@@ -1,6 +1,6 @@
 # 异步上下文压缩过滤器
 
-**作者:** [Fu-Jie](https://github.com/Fu-Jie) | **版本:** 1.1.3 | **许可证:** MIT
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 1.1.3 | **许可证:** MIT
 
 > **重要提示**：为了确保所有过滤器的可维护性和易用性，每个过滤器都应附带清晰、完整的文档，以确保其功能、配置和使用方法得到充分说明。
 

plugins/filters/async-context-compression/async_context_compression.py

@@ -2,8 +2,8 @@
 title: Async Context Compression
 id: async_context_compression
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 description: Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.
 version: 1.1.3
 openwebui_id: b1655bc8-6de9-4cad-8cb5-a6f7829a02ce
@@ -621,25 +621,41 @@ class Filter:
             "max_context_tokens": self.valves.max_context_tokens,
         }
 
-    def _extract_chat_id(self, body: dict, metadata: Optional[dict]) -> str:
-        """Extract chat_id from body or metadata."""
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
         if isinstance(body, dict):
-            chat_id = body.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
 
-            body_metadata = body.get("metadata", {})
-            if isinstance(body_metadata, dict):
-                chat_id = body_metadata.get("chat_id")
-                if isinstance(chat_id, str) and chat_id.strip():
-                    return chat_id.strip()
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
 
-        if isinstance(metadata, dict):
-            chat_id = metadata.get("chat_id")
-            if isinstance(chat_id, str) and chat_id.strip():
-                return chat_id.strip()
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
 
-        return ""
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
 
     async def _emit_debug_log(
         self,
@@ -750,7 +766,8 @@ class Filter:
         Compression Strategy: Only responsible for injecting existing summaries, no Token calculation.
         """
         messages = body.get("messages", [])
-        chat_id = self._extract_chat_id(body, __metadata__)
+        chat_ctx = self._get_chat_context(body, __metadata__)
+        chat_id = chat_ctx["chat_id"]
 
         if not chat_id:
             await self._log(
@@ -867,7 +884,8 @@ class Filter:
         Executed after the LLM response is complete.
         Calculates Token count in the background and triggers summary generation (does not block current response, does not affect content output).
         """
-        chat_id = self._extract_chat_id(body, __metadata__)
+        chat_ctx = self._get_chat_context(body, __metadata__)
+        chat_id = chat_ctx["chat_id"]
         if not chat_id:
             await self._log(
                 "[Outlet] ❌ Missing chat_id in metadata, skipping compression",

plugins/filters/async-context-compression/async_context_compression_cn.py

@@ -2,8 +2,8 @@
 title: 异步上下文压缩
 id: async_context_compression
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
 description: 通过智能摘要和消息压缩，降低长对话的 token 消耗，同时保持对话连贯性。
 version: 1.1.3
 openwebui_id: 5c0617cb-a9e4-4bd6-a440-d276534ebd18
@@ -472,6 +472,42 @@ class Filter:
             "max_context_tokens": self.valves.max_context_tokens,
         }
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     async def _emit_debug_log(
         self,
         __event_call__,
@@ -581,7 +617,8 @@ class Filter:
         压缩策略：只负责注入已有的摘要，不进行 Token 计算
         """
         messages = body.get("messages", [])
-        chat_id = __metadata__["chat_id"]
+        chat_ctx = self._get_chat_context(body, __metadata__)
+        chat_id = chat_ctx["chat_id"]
 
         if self.valves.debug_mode or self.valves.show_debug_log:
             await self._log(
@@ -690,7 +727,8 @@ class Filter:
         在 LLM 响应完成后执行
         在后台计算 Token 数并触发摘要生成（不阻塞当前响应，不影响内容输出）
         """
-        chat_id = __metadata__["chat_id"]
+        chat_ctx = self._get_chat_context(body, __metadata__)
+        chat_id = chat_ctx["chat_id"]
         model = body.get("model") or ""
 
         # 直接计算目标压缩进度

plugins/filters/markdown_normalizer/FEATURES_CN.md

@@ -125,19 +125,45 @@ if x == 1:
 ```
 
 ## 7. Mermaid 语法修复 (Mermaid Syntax Fix)
-**功能**: 修复 Mermaid 图表中常见的语法错误，特别是未加引号的标签包含特殊字符的情况。
+**功能**: 修复 Mermaid 图表中常见的语法错误，特别是未加引号的标签包含特殊字符、嵌套括号或 HTML 标签的情况。
 **默认**: 开启 (`enable_mermaid_fix = True`)
-**示例**:
-*   **Before**:
-    ```mermaid
-    graph TD
-    A[Label with (parens)] --> B(Label with [brackets])
-    ```
-*   **After**:
-    ```mermaid
-    graph TD
-    A["Label with (parens)"] --> B("Label with [brackets]")
-    ```
+
+### 7.1 基础特殊字符
+**Before**:
+```mermaid
+graph TD
+A[Label with (parens)] --> B(Label with [brackets])
+```
+**After**:
+```mermaid
+graph TD
+A["Label with (parens)"] --> B("Label with [brackets]")
+```
+
+### 7.2 嵌套括号修复 (v1.1.0+)
+**Before**:
+```mermaid
+graph TD
+A((开始: 发现可疑快照)) --> B[物理损坏(Allocation Errors)]
+```
+**After**:
+```mermaid
+graph TD
+A(("开始: 发现可疑快照")) --> B["物理损坏(Allocation Errors)"]
+```
+
+### 7.3 包含 HTML 标签 (v1.1.0+)
+**Before**:
+```mermaid
+graph TD
+A[第一步<br/>环境隔离] --> B{状态?}
+```
+**After**:
+```mermaid
+graph TD
+A["第一步<br/>环境隔离"] --> B{"状态?"}
+```
+*注：插件已优化 HTML 保护机制，允许包含 `<br/>` 等标签的 Mermaid 图表正常触发修复。*
 
 ## 8. XML 标签清理 (XML Cleanup)
 

plugins/filters/markdown_normalizer/README.md

@@ -1,10 +1,13 @@
 # Markdown Normalizer Filter
 
-A production-grade content normalizer filter for Open WebUI that fixes common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other Markdown elements are rendered correctly.
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui)
+**Version:** 1.1.2
+
+A content normalizer filter for Open WebUI that fixes common Markdown formatting issues in LLM outputs. It ensures that code blocks, LaTeX formulas, Mermaid diagrams, and other Markdown elements are rendered correctly.
 
 ## Features
 
-*   **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs, ensuring diagrams render correctly.
+*   **Mermaid Syntax Fix**: Automatically fixes common Mermaid syntax errors, such as unquoted node labels (including multi-line labels and citations) and unclosed subgraphs. **New in v1.1.2**: Comprehensive protection for edge labels (text on connecting lines) across all link types (solid, dotted, thick).
 *   **Frontend Console Debugging**: Supports printing structured debug logs directly to the browser console (F12) for easier troubleshooting.
 *   **Code Block Formatting**: Fixes broken code block prefixes, suffixes, and indentation.
 *   **LaTeX Normalization**: Standardizes LaTeX formula delimiters (`\[` -> `$$`, `\(` -> `$`).
@@ -41,6 +44,18 @@ A production-grade content normalizer filter for Open WebUI that fixes common Ma
 *   `show_status`: Show status notification when fixes are applied.
 *   `show_debug_log`: Print debug logs to browser console.
 
+## Changelog
+
+### v1.1.2
+*   **Mermaid Edge Label Protection**: Implemented comprehensive protection for edge labels (text on connecting lines) to prevent them from being incorrectly modified. Now supports all Mermaid link types including solid (`--`), dotted (`-.`), and thick (`==`) lines with or without arrows.
+*   **Bug Fixes**: Fixed an issue where lines without arrows (e.g., `A -- text --- B`) were not correctly protected.
+
+### v1.1.0
+*   **Mermaid Fix Refinement**: Improved regex to handle nested parentheses in node labels (e.g., `ID("Label (text)")`) and avoided matching connection labels.
+*   **HTML Safeguard Optimization**: Refined `_contains_html` to allow common tags like `<br/>`, `<b>`, `<i>`, etc., ensuring Mermaid diagrams with these tags are still normalized.
+*   **Full-width Symbol Cleanup**: Fixed duplicate keys and incorrect quote mapping in `FULLWIDTH_MAP`.
+*   **Bug Fixes**: Fixed missing `Dict` import in Python files.
+
 ## License
 
 MIT

plugins/filters/markdown_normalizer/README_CN.md

@@ -1,10 +1,13 @@
 # Markdown 格式化过滤器 (Markdown Normalizer)
 
-这是一个用于 Open WebUI 的生产级内容格式化过滤器，旨在修复 LLM 输出中常见的 Markdown 格式问题。它能确保代码块、LaTeX 公式、Mermaid 图表和其他 Markdown 元素被正确渲染。
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui)
+**版本:** 1.1.2
+
+这是一个用于 Open WebUI 的内容格式化过滤器，旨在修复 LLM 输出中常见的 Markdown 格式问题。它能确保代码块、LaTeX 公式、Mermaid 图表和其他 Markdown 元素被正确渲染。
 
 ## 功能特性
 
-*   **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误，如未加引号的节点标签（支持多行标签和引用标记）和未闭合的子图 (Subgraph)，确保图表能正确渲染。
+*   **Mermaid 语法修复**: 自动修复常见的 Mermaid 语法错误，如未加引号的节点标签（支持多行标签和引用标记）和未闭合的子图 (Subgraph)。**v1.1.2 新增**: 全面保护各种类型的连线标签（实线、虚线、粗线），防止被误修改。
 *   **前端控制台调试**: 支持将结构化的调试日志直接打印到浏览器控制台 (F12)，方便排查问题。
 *   **代码块格式化**: 修复破损的代码块前缀、后缀和缩进问题。
 *   **LaTeX 规范化**: 标准化 LaTeX 公式定界符 (`\[` -> `$$`, `\(` -> `$`)。
@@ -41,6 +44,18 @@
 *   `show_status`: 应用修复时显示状态通知。
 *   `show_debug_log`: 在浏览器控制台打印调试日志。
 
+## 更新日志
+
+### v1.1.2
+*   **Mermaid 连线标签保护**: 实现了全面的连线标签保护机制，防止连接线上的文字被误修改。现在支持所有 Mermaid 连线类型，包括实线 (`--`)、虚线 (`-.`) 和粗线 (`==`)，无论是否带有箭头。
+*   **Bug 修复**: 修复了无箭头连线（如 `A -- text --- B`）未被正确保护的问题。
+
+### v1.1.0
+*   **Mermaid 修复优化**: 改进了正则表达式以处理节点标签中的嵌套括号（如 `ID("标签 (文本)")`），并避免误匹配连接线上的文字。
+*   **HTML 保护机制优化**: 优化了 `_contains_html` 检测，允许 `<br/>`, `<b>`, `<i>` 等常见标签，确保包含这些标签的 Mermaid 图表能被正常规范化。
+*   **全角符号清理**: 修复了 `FULLWIDTH_MAP` 中的重复键名和错误的引号映射。
+*   **Bug 修复**: 修复了 Python 文件中缺失的 `Dict` 类型导入。
+
 ## 许可证
 
 MIT

plugins/filters/markdown_normalizer/markdown_normalizer.py

@@ -1,17 +1,17 @@
 """
 title: Markdown Normalizer
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
-version: 1.0.1
-description: A production-grade content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting.
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 1.1.2
+openwebui_id: baaa8732-9348-40b7-8359-7e009660e23c
+description: A content normalizer filter that fixes common Markdown formatting issues in LLM outputs, such as broken code blocks, LaTeX formulas, and list formatting.
 """
 
 from pydantic import BaseModel, Field
-from typing import Optional, List, Callable
+from typing import Optional, List, Callable, Dict
 import re
 import logging
-import logging
 import asyncio
 import json
 from dataclasses import dataclass, field
@@ -25,6 +25,9 @@ class NormalizerConfig:
     """Configuration class for enabling/disabling specific normalization rules"""
 
     enable_escape_fix: bool = True  # Fix excessive escape characters
+    enable_escape_fix_in_code_blocks: bool = (
+        False  # Apply escape fix inside code blocks (default: False for safety)
+    )
     enable_thought_tag_fix: bool = True  # Normalize thought tags
     enable_code_block_fix: bool = True  # Fix code block formatting
     enable_latex_fix: bool = True  # Fix LaTeX formula formatting
@@ -75,7 +78,7 @@ class ContentNormalizer:
         # Priority: Longer delimiters match first
         "mermaid_node": re.compile(
             r'("[^"\\]*(?:\\.[^"\\]*)*")|'  # Match quoted strings first (Group 1)
-            r"(\w+)\s*(?:"
+            r"(\w+)(?:"
             r"(\(\(\()(?![\"])(.*?)(?<![\"])(\)\)\))|"  # (((...))) Double Circle
             r"(\(\()(?![\"])(.*?)(?<![\"])(\)\))|"  # ((...)) Circle
             r"(\(\[)(?![\"])(.*?)(?<![\"])(\]\))|"  # ([...]) Stadium
@@ -86,7 +89,7 @@ class ContentNormalizer:
             r"(\[\\)(?![\"])(.*?)(?<![\"])(\\\])|"  # [\...\] Parallelogram Alt
             r"(\[/)(?![\"])(.*?)(?<![\"])(\\\])|"  # [/...\] Trapezoid
             r"(\[\\)(?![\"])(.*?)(?<![\"])(/\])|"  # [\.../] Trapezoid Alt
-            r"(\()(?![\"])(.*?)(?<![\"])(\))|"  # (...) Round
+            r"(\()(?![\"])([^)]*?)(?<![\"])(\))|"  # (...) Round - Modified to be safer
             r"(\[)(?![\"])(.*?)(?<![\"])(\])|"  # [...] Square
             r"(\{)(?![\"])(.*?)(?<![\"])(\})|"  # {...} Rhombus
             r"(>)(?![\"])(.*?)(?<![\"])(\])"  # >...] Asymmetric
@@ -214,12 +217,30 @@ class ContentNormalizer:
             return content
 
     def _fix_escape_characters(self, content: str) -> str:
-        """Fix excessive escape characters"""
-        content = content.replace("\\r\\n", "\n")
-        content = content.replace("\\n", "\n")
-        content = content.replace("\\t", "\t")
-        content = content.replace("\\\\", "\\")
-        return content
+        """Fix excessive escape characters
+
+        If enable_escape_fix_in_code_blocks is False (default), this method will only
+        fix escape characters outside of code blocks to avoid breaking valid code
+        examples (e.g., JSON strings with \\n, regex patterns, etc.).
+        """
+        if self.config.enable_escape_fix_in_code_blocks:
+            # Apply globally (original behavior)
+            content = content.replace("\\r\\n", "\n")
+            content = content.replace("\\n", "\n")
+            content = content.replace("\\t", "\t")
+            content = content.replace("\\\\", "\\")
+            return content
+        else:
+            # Apply only outside code blocks (safe mode)
+            parts = content.split("```")
+            for i in range(
+                0, len(parts), 2
+            ):  # Even indices are markdown text (not code)
+                parts[i] = parts[i].replace("\\r\\n", "\n")
+                parts[i] = parts[i].replace("\\n", "\n")
+                parts[i] = parts[i].replace("\\t", "\t")
+                parts[i] = parts[i].replace("\\\\", "\\")
+            return "```".join(parts)
 
     def _fix_thought_tags(self, content: str) -> str:
         """Normalize thought tags: unify naming and fix spacing"""
@@ -239,7 +260,7 @@ class ContentNormalizer:
         return content
 
     def _fix_latex_formulas(self, content: str) -> str:
-        """Normalize LaTeX formulas: \[ -> $$ (block), \( -> $ (inline)"""
+        r"""Normalize LaTeX formulas: \[ -> $$ (block), \( -> $ (inline)"""
         content = self._PATTERNS["latex_bracket_block"].sub(r"$$\1$$", content)
         content = self._PATTERNS["latex_paren_inline"].sub(r"$\1$", content)
         return content
@@ -267,9 +288,12 @@ class ContentNormalizer:
             "：": ":",
             "？": "?",
             "！": "!",
-            '"': '"',
-            '"': '"',
-            """: "'", """: "'",
+            "＂": '"',  # U+FF02 FULLWIDTH QUOTATION MARK
+            "＇": "'",  # U+FF07 FULLWIDTH APOSTROPHE
+            "“": '"',
+            "”": '"',
+            "‘": "'",
+            "’": "'",
         }
 
         parts = content.split("```")
@@ -318,8 +342,38 @@ class ContentNormalizer:
             # Check if it's a mermaid block
             lang_line = parts[i].split("\n", 1)[0].strip().lower()
             if "mermaid" in lang_line:
-                # Apply the comprehensive regex fix
-                parts[i] = self._PATTERNS["mermaid_node"].sub(replacer, parts[i])
+                # Protect edge labels (text between link start and arrow) from being modified
+                # by temporarily replacing them with placeholders.
+                # Covers all Mermaid link types:
+                #   - Solid line:  A -- text --> B, A -- text --o B, A -- text --x B
+                #   - Dotted line: A -. text .-> B, A -. text .-o B
+                #   - Thick line:  A == text ==> B, A == text ==o B
+                #   - No arrow:    A -- text --- B
+                edge_labels = []
+
+                def protect_edge_label(m):
+                    start = m.group(1)  # Link start: --, -., or ==
+                    label = m.group(2)  # Text content
+                    arrow = m.group(3)  # Arrow/end pattern
+                    edge_labels.append((start, label, arrow))
+                    return f"___EDGE_LABEL_{len(edge_labels)-1}___"
+
+                # Comprehensive edge label pattern for all Mermaid link types
+                edge_label_pattern = (
+                    r"(--|-\.|\=\=)\s+(.+?)\s+(--+[>ox]?|--+\|>|\.-[>ox]?|=+[>ox]?)"
+                )
+                protected = re.sub(edge_label_pattern, protect_edge_label, parts[i])
+
+                # Apply the comprehensive regex fix to protected content
+                fixed = self._PATTERNS["mermaid_node"].sub(replacer, protected)
+
+                # Restore edge labels
+                for idx, (start, label, arrow) in enumerate(edge_labels):
+                    fixed = fixed.replace(
+                        f"___EDGE_LABEL_{idx}___", f"{start} {label} {arrow}"
+                    )
+
+                parts[i] = fixed
 
                 # Auto-close subgraphs
                 subgraph_count = len(
@@ -367,6 +421,10 @@ class Filter:
         enable_escape_fix: bool = Field(
             default=True, description="Fix excessive escape characters (\\n, \\t, etc.)"
         )
+        enable_escape_fix_in_code_blocks: bool = Field(
+            default=False,
+            description="Apply escape fix inside code blocks (⚠️ Warning: May break valid code like JSON strings or regex patterns. Default: False for safety)",
+        )
         enable_thought_tag_fix: bool = Field(
             default=True, description="Normalize </thought> tags"
         )
@@ -410,9 +468,46 @@ class Filter:
     def __init__(self):
         self.valves = self.Valves()
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        Unified extraction of chat context information (chat_id, message_id).
+        Prioritizes extraction from body, then metadata.
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. Try to get from body
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id is usually 'id' in body
+
+            # Check body.metadata as fallback
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. Try to get from __metadata__ (as supplement)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     def _contains_html(self, content: str) -> bool:
         """Check if content contains HTML tags (to avoid breaking HTML output)"""
-        pattern = r"<\s*/?\s*(?:html|head|body|div|span|p|br|hr|ul|ol|li|table|thead|tbody|tfoot|tr|td|th|img|a|b|i|strong|em|code|pre|blockquote|h[1-6]|script|style|form|input|button|label|select|option|iframe|link|meta|title)\b"
+        # Removed common Mermaid-compatible tags like br, b, i, strong, em, span
+        pattern = r"<\s*/?\s*(?:html|head|body|div|p|hr|ul|ol|li|table|thead|tbody|tfoot|tr|td|th|img|a|code|pre|blockquote|h[1-6]|script|style|form|input|button|label|select|option|iframe|link|meta|title)\b"
         return bool(re.search(pattern, content, re.IGNORECASE))
 
     async def _emit_status(self, __event_emitter__, applied_fixes: List[str]):
@@ -438,24 +533,23 @@ class Filter:
             print(f"Error emitting status: {e}")
 
     async def _emit_debug_log(
-        self, __event_call__, applied_fixes: List[str], original: str, normalized: str
+        self,
+        __event_call__,
+        applied_fixes: List[str],
+        original: str,
+        normalized: str,
+        chat_id: str = "",
     ):
         """Emit debug log to browser console via JS execution"""
         if not self.valves.show_debug_log or not __event_call__:
             return
 
         try:
-            # Prepare data for JS
-            log_data = {
-                "fixes": applied_fixes,
-                "original": original,
-                "normalized": normalized,
-            }
-
             # Construct JS code
             js_code = f"""
                 (async function() {{
                     console.group("🛠️ Markdown Normalizer Debug");
+                    console.log("Chat ID:", {json.dumps(chat_id)});
                     console.log("Applied Fixes:", {json.dumps(applied_fixes, ensure_ascii=False)});
                     console.log("Original Content:", {json.dumps(original, ensure_ascii=False)});
                     console.log("Normalized Content:", {json.dumps(normalized, ensure_ascii=False)});
@@ -495,6 +589,7 @@ class Filter:
                 # Configure normalizer based on valves
                 config = NormalizerConfig(
                     enable_escape_fix=self.valves.enable_escape_fix,
+                    enable_escape_fix_in_code_blocks=self.valves.enable_escape_fix_in_code_blocks,
                     enable_thought_tag_fix=self.valves.enable_thought_tag_fix,
                     enable_code_block_fix=self.valves.enable_code_block_fix,
                     enable_latex_fix=self.valves.enable_latex_fix,
@@ -521,11 +616,13 @@ class Filter:
                         await self._emit_status(
                             __event_emitter__, normalizer.applied_fixes
                         )
+                        chat_ctx = self._get_chat_context(body, __metadata__)
                         await self._emit_debug_log(
                             __event_call__,
                             normalizer.applied_fixes,
                             content,
                             new_content,
+                            chat_id=chat_ctx["chat_id"],
                         )
 
         return body

plugins/filters/markdown_normalizer/markdown_normalizer_cn.py

@@ -1,14 +1,14 @@
 """
 title: Markdown 格式修复器 (Markdown Normalizer)
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
-version: 1.0.1
-description: 生产级内容规范化过滤器，修复 LLM 输出中常见的 Markdown 格式问题，如损坏的代码块、LaTeX 公式、Mermaid 图表和列表格式。
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 1.1.2
+description: 内容规范化过滤器，修复 LLM 输出中常见的 Markdown 格式问题，如损坏的代码块、LaTeX 公式、Mermaid 图表和列表格式。
 """
 
 from pydantic import BaseModel, Field
-from typing import Optional, List, Callable
+from typing import Optional, List, Callable, Dict
 import re
 import logging
 import asyncio
@@ -70,7 +70,7 @@ class ContentNormalizer:
         # 优先级：长定界符优先匹配
         "mermaid_node": re.compile(
             r'("[^"\\]*(?:\\.[^"\\]*)*")|'  # Match quoted strings first (Group 1)
-            r"(\w+)\s*(?:"
+            r"(\w+)(?:"
             r"(\(\(\()(?![\"])(.*?)(?<![\"])(\)\)\))|"  # (((...))) Double Circle
             r"(\(\()(?![\"])(.*?)(?<![\"])(\)\))|"  # ((...)) Circle
             r"(\(\[)(?![\"])(.*?)(?<![\"])(\]\))|"  # ([...]) Stadium
@@ -81,7 +81,7 @@ class ContentNormalizer:
             r"(\[\\)(?![\"])(.*?)(?<![\"])(\\\])|"  # [\...\] Parallelogram Alt
             r"(\[/)(?![\"])(.*?)(?<![\"])(\\\])|"  # [/...\] Trapezoid
             r"(\[\\)(?![\"])(.*?)(?<![\"])(/\])|"  # [\.../] Trapezoid Alt
-            r"(\()(?![\"])(.*?)(?<![\"])(\))|"  # (...) Round
+            r"(\()(?![\"])([^)]*?)(?<![\"])(\))|"  # (...) Round - Modified to be safer
             r"(\[)(?![\"])(.*?)(?<![\"])(\])|"  # [...] Square
             r"(\{)(?![\"])(.*?)(?<![\"])(\})|"  # {...} Rhombus
             r"(>)(?![\"])(.*?)(?<![\"])(\])"  # >...] Asymmetric
@@ -262,9 +262,10 @@ class ContentNormalizer:
             "：": ":",
             "？": "?",
             "！": "!",
-            '"': '"',
-            '"': '"',
-            """: "'", """: "'",
+            "“": '"',
+            "”": '"',
+            "‘": "'",
+            "’": "'",
         }
 
         parts = content.split("```")
@@ -313,8 +314,38 @@ class ContentNormalizer:
             # Check if it's a mermaid block
             lang_line = parts[i].split("\n", 1)[0].strip().lower()
             if "mermaid" in lang_line:
-                # Apply the comprehensive regex fix
-                parts[i] = self._PATTERNS["mermaid_node"].sub(replacer, parts[i])
+                # Protect edge labels (text between link start and arrow) from being modified
+                # by temporarily replacing them with placeholders.
+                # Covers all Mermaid link types:
+                #   - Solid line:  A -- text --> B, A -- text --o B, A -- text --x B
+                #   - Dotted line: A -. text .-> B, A -. text .-o B
+                #   - Thick line:  A == text ==> B, A == text ==o B
+                #   - No arrow:    A -- text --- B
+                edge_labels = []
+
+                def protect_edge_label(m):
+                    start = m.group(1)  # Link start: --, -., or ==
+                    label = m.group(2)  # Text content
+                    arrow = m.group(3)  # Arrow/end pattern
+                    edge_labels.append((start, label, arrow))
+                    return f"___EDGE_LABEL_{len(edge_labels)-1}___"
+
+                # Comprehensive edge label pattern for all Mermaid link types
+                edge_label_pattern = (
+                    r"(--|-\.|\=\=)\s+(.+?)\s+(--+[>ox]?|--+\|>|\.-[>ox]?|=+[>ox]?)"
+                )
+                protected = re.sub(edge_label_pattern, protect_edge_label, parts[i])
+
+                # Apply the comprehensive regex fix to protected content
+                fixed = self._PATTERNS["mermaid_node"].sub(replacer, protected)
+
+                # Restore edge labels
+                for idx, (start, label, arrow) in enumerate(edge_labels):
+                    fixed = fixed.replace(
+                        f"___EDGE_LABEL_{idx}___", f"{start} {label} {arrow}"
+                    )
+
+                parts[i] = fixed
 
                 # Auto-close subgraphs
                 # Count 'subgraph' and 'end' (case-insensitive)
@@ -410,9 +441,46 @@ class Filter:
     def __init__(self):
         self.valves = self.Valves()
 
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        """
+        统一提取聊天上下文信息 (chat_id, message_id)。
+        优先从 body 中提取，其次从 metadata 中提取。
+        """
+        chat_id = ""
+        message_id = ""
+
+        # 1. 尝试从 body 获取
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")  # message_id 在 body 中通常是 id
+
+            # 再次检查 body.metadata
+            if not chat_id or not message_id:
+                body_metadata = body.get("metadata", {})
+                if isinstance(body_metadata, dict):
+                    if not chat_id:
+                        chat_id = body_metadata.get("chat_id", "")
+                    if not message_id:
+                        message_id = body_metadata.get("message_id", "")
+
+        # 2. 尝试从 __metadata__ 获取 (作为补充)
+        if __metadata__ and isinstance(__metadata__, dict):
+            if not chat_id:
+                chat_id = __metadata__.get("chat_id", "")
+            if not message_id:
+                message_id = __metadata__.get("message_id", "")
+
+        return {
+            "chat_id": str(chat_id).strip(),
+            "message_id": str(message_id).strip(),
+        }
+
     def _contains_html(self, content: str) -> bool:
         """Check if content contains HTML tags (to avoid breaking HTML output)"""
-        pattern = r"<\s*/?\s*(?:html|head|body|div|span|p|br|hr|ul|ol|li|table|thead|tbody|tfoot|tr|td|th|img|a|b|i|strong|em|code|pre|blockquote|h[1-6]|script|style|form|input|button|label|select|option|iframe|link|meta|title)\b"
+        # Removed common Mermaid-compatible tags like br, b, i, strong, em, span
+        pattern = r"<\s*/?\s*(?:html|head|body|div|p|hr|ul|ol|li|table|thead|tbody|tfoot|tr|td|th|img|a|code|pre|blockquote|h[1-6]|script|style|form|input|button|label|select|option|iframe|link|meta|title)\b"
         return bool(re.search(pattern, content, re.IGNORECASE))
 
     async def _emit_status(self, __event_emitter__, applied_fixes: List[str]):
@@ -455,32 +523,22 @@ class Filter:
 
     async def _emit_debug_log(
         self,
-        __event_emitter__,
+        __event_call__,
         applied_fixes: List[str],
         original: str,
         normalized: str,
-    ):
-        """Emit debug log to browser console via JS execution"""
-
-    async def _emit_debug_log(
-        self, __event_call__, applied_fixes: List[str], original: str, normalized: str
+        chat_id: str = "",
     ):
         """Emit debug log to browser console via JS execution"""
         if not self.valves.show_debug_log or not __event_call__:
             return
 
         try:
-            # Prepare data for JS
-            log_data = {
-                "fixes": applied_fixes,
-                "original": original,
-                "normalized": normalized,
-            }
-
             # Construct JS code
             js_code = f"""
                 (async function() {{
                     console.group("🛠️ Markdown Normalizer Debug");
+                    console.log("Chat ID:", {json.dumps(chat_id)});
                     console.log("Applied Fixes:", {json.dumps(applied_fixes, ensure_ascii=False)});
                     console.log("Original Content:", {json.dumps(original, ensure_ascii=False)});
                     console.log("Normalized Content:", {json.dumps(normalized, ensure_ascii=False)});
@@ -546,11 +604,13 @@ class Filter:
                         await self._emit_status(
                             __event_emitter__, normalizer.applied_fixes
                         )
+                        chat_ctx = self._get_chat_context(body, __metadata__)
                         await self._emit_debug_log(
                             __event_call__,
                             normalizer.applied_fixes,
                             content,
                             new_content,
+                            chat_id=chat_ctx["chat_id"],
                         )
 
         return body

plugins/filters/multi_model_context_merger.py

@@ -1,3 +1,12 @@
+"""
+title: Multi-Model Context Merger
+author: Fu-Jie
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/Fu-Jie/awesome-openwebui
+version: 0.1.0
+description: Automatically merges context from multiple model responses in the previous turn.
+"""
+
 import asyncio
 from typing import List, Optional, Dict
 from pydantic import BaseModel, Field

plugins/pipes/gemini_mainfold/README.md

@@ -1,54 +0,0 @@
-# Example Pipe Plugin
-
-**Author:** OpenWebUI Community | **Version:** 1.26.0 | **License:** MIT
-
-This is a template/example for creating Pipe plugins in OpenWebUI.
-
----
-
-## Overview
-
-Pipes are plugins that process and enhance LLM responses after they are generated and before they are displayed to the user.
-
-## Core Features
-
-- ✅ **Response Processing**: Modify or enhance LLM output
-- ✅ **Format Conversion**: Convert responses to different formats
-- ✅ **Content Filtering**: Filter or sanitize content
-- ✅ **Integration**: Connect with external services
-
----
-
-## Installation
-
-1. Download the `.py` file from this directory
-2. Open OpenWebUI Admin Settings → Plugins
-3. Select "Pipes" type
-4. Upload the file
-5. Refresh the page
-
----
-
-## Configuration
-
-Configure the pipe parameters in your chat settings as needed.
-
----
-
-## Usage
-
-Once enabled, this pipe will automatically process all LLM responses.
-
----
-
-## Troubleshooting
-
-- Check the logs for any errors during pipe execution
-- Ensure the pipe is properly configured
-- Verify the pipe is enabled in chat settings
-
----
-
-## Contributing
-
-Feel free to create your own pipe plugins! Follow the structure and documentation guidelines in this template.

plugins/pipes/gemini_mainfold/README_CN.md

@@ -1,54 +0,0 @@
-# 示例管道插件
-
-**作者:** OpenWebUI 社区 | **版本:** 1.0.0 | **许可证:** MIT
-
-这是在 OpenWebUI 中创建管道插件的模板/示例。
-
----
-
-## 概述
-
-管道是在 LLM 生成响应后、显示给用户前对响应进行处理和增强的插件。
-
-## 核心特性
-
-- ✅ **响应处理**: 修改或增强 LLM 输出
-- ✅ **格式转换**: 将响应转换为不同格式
-- ✅ **内容过滤**: 过滤或清理内容
-- ✅ **集成**: 与外部服务连接
-
----
-
-## 安装
-
-1. 从此目录下载 `.py` 文件
-2. 打开 OpenWebUI 管理员设置 → 插件（Plugins）
-3. 选择"Pipes"类型
-4. 上传文件
-5. 刷新页面
-
----
-
-## 配置
-
-根据需要在聊天设置中配置管道参数。
-
----
-
-## 使用
-
-启用后，该管道将自动处理所有 LLM 响应。
-
----
-
-## 故障排除
-
-- 查看日志了解管道执行过程中的任何错误
-- 确保管道配置正确
-- 验证管道在聊天设置中已启用
-
----
-
-## 贡献
-
-欢迎创建您自己的管道插件！请遵循此模板中的结构和文档指南。

scripts/openwebui_community_client.py

@@ -483,25 +483,44 @@ class OpenWebUICommunityClient:
                 print(f"  Uploaded image: {image_url}")
                 media_urls = [image_url]
 
-        # 如果没有 post_id，尝试创建新帖子
+        # 如果没有 post_id，尝试查找或创建
         if not post_id:
-            if not auto_create:
-                return False, "No openwebui_id found and auto_create is disabled"
+            # 1. 尝试通过标题查找已存在的帖子
+            print(f"  Searching for existing post with title: {title}")
+            try:
+                all_posts = self.get_all_posts()
+                existing_post = next(
+                    (p for p in all_posts if p.get("title") == title), None
+                )
+            except Exception as e:
+                print(f"  Warning: Failed to fetch posts for title check: {e}")
+                existing_post = None
 
-            print(f"  Creating new post for: {title}")
-            new_post_id = self.create_plugin(
-                title=title,
-                source_code=content,
-                readme_content=readme_content or metadata.get("description", ""),
-                metadata=metadata,
-                media_urls=media_urls,
-            )
+            if existing_post:
+                post_id = existing_post.get("id")
+                print(f"  Found existing post: {title} (ID: {post_id})")
+                self._inject_id_to_file(file_path, post_id)
+                # post_id 已设置，后续将进入更新流程
 
-            if new_post_id:
-                # 将新 ID 写回本地文件
-                self._inject_id_to_file(file_path, new_post_id)
-                return True, f"Created new post (ID: {new_post_id})"
-            return False, "Failed to create new post"
+            else:
+                # 2. 如果没找到，且允许自动创建，则创建
+                if not auto_create:
+                    return False, "No openwebui_id found and auto_create is disabled"
+
+                print(f"  Creating new post for: {title}")
+                new_post_id = self.create_plugin(
+                    title=title,
+                    source_code=content,
+                    readme_content=readme_content or metadata.get("description", ""),
+                    metadata=metadata,
+                    media_urls=media_urls,
+                )
+
+                if new_post_id:
+                    # 将新 ID 写回本地文件
+                    self._inject_id_to_file(file_path, new_post_id)
+                    return True, f"Created new post (ID: {new_post_id})"
+                return False, "Failed to create new post"
 
         # 获取远程帖子信息（只需获取一次）
         remote_post = None

scripts/openwebui_stats.py

@@ -415,7 +415,7 @@ class OpenWebUIStats:
                 "header": "| 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |",
                 "top6_title": "### 🔥 热门插件 Top 6",
                 "top6_updated": f"> 🕐 自动更新于 {get_beijing_time().strftime('%Y-%m-%d %H:%M')}",
-                "top6_header": "| 排名 | 插件 | 下载 | 浏览 | 更新日期 |",
+                "top6_header": "| 排名 | 插件 | 版本 | 下载 | 浏览 | 更新日期 |",
                 "full_stats": "*完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*",
             },
             "en": {
@@ -425,7 +425,7 @@ class OpenWebUIStats:
                 "header": "| 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |",
                 "top6_title": "### 🔥 Top 6 Popular Plugins",
                 "top6_updated": f"> 🕐 Auto-updated: {get_beijing_time().strftime('%Y-%m-%d %H:%M')}",
-                "top6_header": "| Rank | Plugin | Downloads | Views | Updated |",
+                "top6_header": "| Rank | Plugin | Version | Downloads | Views | Updated |",
                 "full_stats": "*See full stats in [Community Stats Report](./docs/community-stats.md)*",
             },
         }
@@ -467,13 +467,13 @@ class OpenWebUIStats:
         lines.append(t["top6_updated"])
         lines.append("")
         lines.append(t["top6_header"])
-        lines.append("|:---:|------|:---:|:---:|:---:|")
+        lines.append("|:---:|------|:---:|:---:|:---:|:---:|")
 
         medals = ["🥇", "🥈", "🥉", "4️⃣", "5️⃣", "6️⃣"]
         for i, post in enumerate(top_plugins):
             medal = medals[i] if i < len(medals) else str(i + 1)
             lines.append(
-                f"| {medal} | [{post['title']}]({post['url']}) | {post['downloads']} | {post['views']} | {post['updated_at']} |"
+                f"| {medal} | [{post['title']}]({post['url']}) | {post['version']} | {post['downloads']} | {post['views']} | {post['updated_at']} |"
             )
 
         lines.append("")