feat(github-copilot-sdk): v0.3.0 - unified tool bridge & dynamic MCP discovery

Major enhancements:
- Zero-config OpenWebUI Tool Bridge: automatically converts WebUI Functions to Copilot-compatible tools
- Dynamic MCP Discovery: seamlessly reads MCP servers from Admin Settings -> Connections
- High-performance async engine with optimized event-driven streaming
- Robust interoperability via dynamic Pydantic model generation
- Simplified token acquisition (web-based PAT only, removed CLI method)
- Updated configuration valves (renamed, removed legacy parameters)
- Comprehensive bilingual documentation sync

.agent/rules/plugin_standards.md

@@ -0,0 +1,30 @@
+---
+description: Standards for OpenWebUI Plugin Development, specifically README formatting.
+globs: plugins/**
+always_on: true
+---
+# Plugin Development Standards
+
+## README Documentation
+
+All plugins MUST follow the standard README template.
+
+**Reference Template**: @docs/PLUGIN_README_TEMPLATE.md
+
+### Language Requirements
+- **English Version (`README.md`)**: The primary documentation source. Must follow the template strictly.
+- **Chinese Version (`README_CN.md`)**: MUST be translated based on the English version (`README.md`) to ensure consistency in structure and content.
+
+### Metadata Requirements
+The metadata line must follow this format:
+`**Author:** [Name](Link) | **Version:** [X.Y.Z] | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT`
+
+### Structure Checklist
+1.  **Title & Description**
+2.  **Metadata Line** (Author, Version, Project, License)
+3.  **Preview** (Screenshots/GIFs)
+4.  **What's New** (Keep last 3 versions)
+5.  **Key Features**
+6.  **How to Use**
+7.  **Configuration (Valves)**
+8.  **Troubleshooting** (Must include link to GitHub Issues)

.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
@@ -86,7 +88,11 @@ 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.
+    - **README Link**: When announcing a release, always include the GitHub README URL for the plugin:
+      - Format: `https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/{type}/{name}/README.md`
+      - Example: `https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/README.md`
 
 ### Pull Request Check
 - Workflow: `.github/workflows/plugin-version-check.yml`

.all-contributorsrc

@@ -36,6 +36,15 @@
         "bug",
         "ideas"
       ]
+    },
+    {
+      "login": "nahoj",
+      "name": "Johan Grande",
+      "avatar_url": "https://avatars.githubusercontent.com/u/469017?v=4",
+      "profile": "https://perso.crans.org/grande/",
+      "contributions": [
+        "ideas"
+      ]
     }
   ],
   "contributorsPerLine": 7,

.github/workflows/community-stats.yml

@@ -1,5 +1,9 @@
 # OpenWebUI 社区统计报告自动生成
-# 只在统计数据变化时 commit，避免频繁提交
+# 智能检测：只在有意义的变更时才 commit
+# - 新增插件 (total_posts)
+# - 插件版本变更 (version)
+# - 积分增加 (total_points)
+# - 粉丝增加 (followers)
 
 name: Community Stats
 
@@ -31,9 +35,23 @@ jobs:
       - name: Install dependencies
         run: |
           pip install requests python-dotenv
-      
 
-      
+      - name: Capture existing stats (before update)
+        id: old_stats
+        run: |
+          if [ -f docs/community-stats.json ]; then
+            echo "total_posts=$(jq -r '.total_posts // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+            echo "total_points=$(jq -r '.user.total_points // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+            echo "followers=$(jq -r '.user.followers // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+            # 提取所有插件的版本号，生成一个排序后的字符串用于比较
+            echo "versions=$(jq -r '[.posts[].version] | sort | join(",")' docs/community-stats.json)" >> $GITHUB_OUTPUT
+          else
+            echo "total_posts=0" >> $GITHUB_OUTPUT
+            echo "total_points=0" >> $GITHUB_OUTPUT
+            echo "followers=0" >> $GITHUB_OUTPUT
+            echo "versions=" >> $GITHUB_OUTPUT
+          fi
+
       - name: Generate stats report
         env:
           OPENWEBUI_API_KEY: ${{ secrets.OPENWEBUI_API_KEY }}
@@ -41,10 +59,71 @@ jobs:
         run: |
           python scripts/openwebui_stats.py
 
+      - name: Capture new stats (after update)
+        id: new_stats
+        run: |
+          echo "total_posts=$(jq -r '.total_posts // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+          echo "total_points=$(jq -r '.user.total_points // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+          echo "followers=$(jq -r '.user.followers // 0' docs/community-stats.json)" >> $GITHUB_OUTPUT
+          echo "versions=$(jq -r '[.posts[].version] | sort | join(",")' docs/community-stats.json)" >> $GITHUB_OUTPUT
+
+      - name: Check for significant changes
+        id: check_changes
+        run: |
+          OLD_POSTS="${{ steps.old_stats.outputs.total_posts }}"
+          NEW_POSTS="${{ steps.new_stats.outputs.total_posts }}"
+          OLD_POINTS="${{ steps.old_stats.outputs.total_points }}"
+          NEW_POINTS="${{ steps.new_stats.outputs.total_points }}"
+          OLD_FOLLOWERS="${{ steps.old_stats.outputs.followers }}"
+          NEW_FOLLOWERS="${{ steps.new_stats.outputs.followers }}"
+          OLD_VERSIONS="${{ steps.old_stats.outputs.versions }}"
+          NEW_VERSIONS="${{ steps.new_stats.outputs.versions }}"
+          
+          SHOULD_COMMIT="false"
+          CHANGE_REASON=""
+          
+          # 检查新增插件
+          if [ "$NEW_POSTS" -gt "$OLD_POSTS" ]; then
+            SHOULD_COMMIT="true"
+            CHANGE_REASON="new plugin added ($OLD_POSTS -> $NEW_POSTS)"
+            echo "📦 New plugin detected: $OLD_POSTS -> $NEW_POSTS"
+          fi
+          
+          # 检查版本变更
+          if [ "$OLD_VERSIONS" != "$NEW_VERSIONS" ]; then
+            SHOULD_COMMIT="true"
+            CHANGE_REASON="${CHANGE_REASON:+$CHANGE_REASON, }plugin version updated"
+            echo "🔄 Plugin version changed"
+          fi
+          
+          # 检查积分增加
+          if [ "$NEW_POINTS" -gt "$OLD_POINTS" ]; then
+            SHOULD_COMMIT="true"
+            CHANGE_REASON="${CHANGE_REASON:+$CHANGE_REASON, }points increased ($OLD_POINTS -> $NEW_POINTS)"
+            echo "⭐ Points increased: $OLD_POINTS -> $NEW_POINTS"
+          fi
+          
+          # 检查粉丝增加
+          if [ "$NEW_FOLLOWERS" -gt "$OLD_FOLLOWERS" ]; then
+            SHOULD_COMMIT="true"
+            CHANGE_REASON="${CHANGE_REASON:+$CHANGE_REASON, }followers increased ($OLD_FOLLOWERS -> $NEW_FOLLOWERS)"
+            echo "👥 Followers increased: $OLD_FOLLOWERS -> $NEW_FOLLOWERS"
+          fi
+          
+          echo "should_commit=$SHOULD_COMMIT" >> $GITHUB_OUTPUT
+          echo "change_reason=$CHANGE_REASON" >> $GITHUB_OUTPUT
+          
+          if [ "$SHOULD_COMMIT" = "false" ]; then
+            echo "ℹ️ No significant changes detected, skipping commit"
+          else
+            echo "✅ Significant changes detected: $CHANGE_REASON"
+          fi
+
       - name: Commit and push changes
+        if: steps.check_changes.outputs.should_commit == 'true'
         run: |
           git config --local user.email "github-actions[bot]@users.noreply.github.com"
           git config --local user.name "github-actions[bot]"
-          git add docs/community-stats.zh.md docs/community-stats.md docs/community-stats.json README.md README_CN.md
-          git diff --staged --quiet || git commit -m "chore: update community stats $(date +'%Y-%m-%d')"
+          git add docs/community-stats.zh.md docs/community-stats.md docs/community-stats.json docs/badges README.md README_CN.md
+          git diff --staged --quiet || git commit -m "chore: update community stats - ${{ steps.check_changes.outputs.change_reason }}"
           git push

.github/workflows/publish_plugin.yml

@@ -6,6 +6,7 @@ on:
       - main
     paths:
       - 'plugins/**/*.py'
+      - '!plugins/debug/**'
   release:
     types: [published]
   workflow_dispatch:

.github/workflows/release.yml

@@ -246,6 +246,52 @@ jobs:
           echo "=== Collected Files ==="
           find release_plugins -name "*.py" -type f | head -20
 
+      - name: Update plugin icon URLs
+        run: |
+          echo "Updating icon_url in plugins to use absolute GitHub URLs..."
+          # Base URL for raw content using the release tag
+          REPO_URL="https://raw.githubusercontent.com/${{ github.repository }}/${{ steps.version.outputs.version }}"
+          
+          find release_plugins -name "*.py" | while read -r file; do
+            # $file is like release_plugins/plugins/actions/infographic/infographic.py
+            # Remove release_plugins/ prefix to get the path in the repo
+            src_file="${file#release_plugins/}"
+            src_dir=$(dirname "$src_file")
+            base_name=$(basename "$src_file" .py)
+            
+            # Check if a corresponding png exists in the source repository
+            png_file="${src_dir}/${base_name}.png"
+            
+            if [ -f "$png_file" ]; then
+              echo "Found icon for $src_file: $png_file"
+              TARGET_ICON_URL="${REPO_URL}/${png_file}"
+              
+              # Use python for safe replacement
+              python3 -c "
+          import sys
+          import re
+          
+          file_path = '$file'
+          icon_url = '$TARGET_ICON_URL'
+          
+          try:
+              with open(file_path, 'r', encoding='utf-8') as f:
+                  content = f.read()
+              
+              # Replace icon_url: ... with new url
+              # Matches 'icon_url: ...' and replaces it
+              new_content = re.sub(r'^icon_url:.*$', f'icon_url: {icon_url}', content, flags=re.MULTILINE)
+              
+              with open(file_path, 'w', encoding='utf-8') as f:
+                  f.write(new_content)
+              print(f'Successfully updated icon_url in {file_path}')
+          except Exception as e:
+              print(f'Error updating {file_path}: {e}', file=sys.stderr)
+              sys.exit(1)
+          "
+            fi
+          done
+
       - name: Debug Filenames
         run: |
           python3 -c "import sys; print(f'Filesystem encoding: {sys.getfilesystemencoding()}')"

README.md

@@ -1,6 +1,6 @@
 # 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](https://img.shields.io/badge/all_contributors-4-orange.svg?style=flat-square)](#contributors-)
 <!-- ALL-CONTRIBUTORS-BADGE:END -->
 
 English | [中文](./README_CN.md)
@@ -10,28 +10,28 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
 <!-- STATS_START -->
 ## 📊 Community Stats
 
-> 🕐 Auto-updated: 2026-01-12 23:10
+> 🕐 Auto-updated: 2026-02-07 09:38
 
 | 👤 Author | 👥 Followers | ⭐ Points | 🏆 Contributions |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **88** | **91** | **22** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **203** | **246** | **40** |
 
 | 📝 Posts | ⬇️ Downloads | 👁️ Views | 👍 Upvotes | 💾 Saves |
 |:---:|:---:|:---:|:---:|:---:|
-| **14** | **1230** | **13650** | **80** | **79** |
+| **20** | **3675** | **43326** | **213** | **253** |
 
 ### 🔥 Top 6 Popular Plugins
 
-> 🕐 Auto-updated: 2026-01-12 23:10
+> 🕐 Auto-updated: 2026-02-07 09:38
 
 | Rank | Plugin | Version | Downloads | Views | Updated |
 |:---:|------|:---:|:---:|:---:|:---:|
-| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.1 | 392 | 3535 | 2026-01-07 |
-| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 187 | 604 | 2026-01-07 |
-| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 145 | 1594 | 2026-01-11 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.1.3 | 144 | 1596 | 2026-01-11 |
-| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 104 | 938 | 2026-01-07 |
-| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 101 | 1881 | 2026-01-07 |
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.2 | 877 | 7765 | 2026-01-28 |
+| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.5.0 | 631 | 5825 | 2026-01-30 |
+| 🥉 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 343 | 2659 | 2026-01-28 |
+| 4️⃣ | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 327 | 1519 | 2026-01-29 |
+| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.2 | 327 | 3412 | 2026-01-28 |
+| 6️⃣ | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | 1.2.4 | 293 | 4243 | 2026-01-29 |
 
 *See full stats in [Community Stats Report](./docs/community-stats.md)*
 <!-- STATS_END -->
@@ -43,6 +43,7 @@ A collection of enhancements, plugins, and prompts for [OpenWebUI](https://githu
 Located in the `plugins/` directory, containing Python-based enhancements:
 
 #### Actions
+
 - **Smart Mind Map** (`smart-mind-map`): Generates interactive mind maps from text.
 - **Smart Infographic** (`infographic`): Transforms text into professional infographics using AntV.
 - **Flash Card** (`flash-card`): Quickly generates beautiful flashcards for learning.
@@ -51,18 +52,18 @@ Located in the `plugins/` directory, containing Python-based enhancements:
 - **Export to Word** (`export_to_docx`): Exports chat history to Word documents.
 
 #### Filters
+
 - **Async Context Compression** (`async-context-compression`): Optimizes token usage via context compression.
 - **Context Enhancement** (`context_enhancement_filter`): Enhances chat context.
-- **Gemini Manifold Companion** (`gemini_manifold_companion`): Companion filter for Gemini Manifold.
-- **Gemini Multimodal Filter** (`web_gemini_multimodel_filter`): Provides multimodal capabilities (PDF, Office, Video) for any model via Gemini.
+- **Folder Memory** (`folder-memory`): Automatically extracts project rules from conversations and injects them into the folder's system prompt.
 - **Markdown Normalizer** (`markdown_normalizer`): Fixes common Markdown formatting issues in LLM outputs.
-- **Multi-Model Context Merger** (`multi_model_context_merger`): Automatically merges and injects context from multiple model responses.
-
 
 #### Pipes
-- **Gemini Manifold** (`gemini_mainfold`): Pipeline for Gemini model integration.
+
+- **GitHub Copilot SDK** (`github-copilot-sdk`): Official GitHub Copilot SDK integration. Supports dynamic models, multi-turn conversation, streaming, multimodal input, and infinite sessions.
 
 #### Pipelines
+
 - **MoE Prompt Refiner** (`moe_prompt_refiner`): Refines prompts for Mixture of Experts (MoE) summary requests to generate high-quality comprehensive reports.
 
 ### 🎯 Prompts
@@ -72,6 +73,12 @@ Located in the `prompts/` directory, containing fine-tuned System Prompts:
 - **Coding**: Programming assistance prompts.
 - **Marketing**: Marketing and copywriting prompts.
 
+## 🛠️ Extensions
+
+Standalone frontend extensions to supercharge your Open WebUI:
+
+- **[Open WebUI Prompt Plus](https://github.com/Fu-Jie/open-webui-prompt-plus)**: An all-in-one prompt management suite featuring AI-powered prompt generation, spotlight-style quick search, and advanced category organization.
+
 ## 📖 Documentation
 
 Located in the `docs/en/` directory:
@@ -107,6 +114,7 @@ This project is a collection of resources and does not require a Python environm
 ### Contributing
 
 If you have great prompts or plugins to share:
+
 1. Fork this repository.
 2. Add your files to the appropriate `prompts/` or `plugins/` directory.
 3. Submit a Pull Request.
@@ -126,6 +134,7 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d
       <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>
+      <td align="center" valign="top" width="14.28%"><a href="https://perso.crans.org/grande/"><img src="https://avatars.githubusercontent.com/u/469017?v=4?s=100" width="100px;" alt="Johan Grande"/><br /><sub><b>Johan Grande</b></sub></a><br /><a href="#ideas-nahoj" title="Ideas, Planning, & Feedback">🤔</a></td>
     </tr>
   </tbody>
 </table>

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 23:10
+> 🕐 自动更新于 2026-02-07 09:38
 
 | 👤 作者 | 👥 粉丝 | ⭐ 积分 | 🏆 贡献 |
 |:---:|:---:|:---:|:---:|
-| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **88** | **91** | **22** |
+| [Fu-Jie](https://openwebui.com/u/Fu-Jie) | **203** | **246** | **40** |
 
 | 📝 发布 | ⬇️ 下载 | 👁️ 浏览 | 👍 点赞 | 💾 收藏 |
 |:---:|:---:|:---:|:---:|:---:|
-| **14** | **1230** | **13650** | **80** | **79** |
+| **20** | **3675** | **43326** | **213** | **253** |
 
 ### 🔥 热门插件 Top 6
 
-> 🕐 自动更新于 2026-01-12 23:10
+> 🕐 自动更新于 2026-02-07 09:38
 
 | 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 | 392 | 3535 | 2026-01-07 |
-| 🥈 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 187 | 604 | 2026-01-07 |
-| 🥉 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.4.9 | 145 | 1594 | 2026-01-11 |
-| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.1.3 | 144 | 1596 | 2026-01-11 |
-| 5️⃣ | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 104 | 938 | 2026-01-07 |
-| 6️⃣ | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | 0.2.4 | 101 | 1881 | 2026-01-07 |
+| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | 0.9.2 | 877 | 7765 | 2026-01-28 |
+| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | 1.5.0 | 631 | 5825 | 2026-01-30 |
+| 🥉 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | 0.4.3 | 343 | 2659 | 2026-01-28 |
+| 4️⃣ | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | 0.3.7 | 327 | 1519 | 2026-01-29 |
+| 5️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | 1.2.2 | 327 | 3412 | 2026-01-28 |
+| 6️⃣ | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | 1.2.4 | 293 | 4243 | 2026-01-29 |
 
 *完整统计请查看 [社区统计报告](./docs/community-stats.zh.md)*
 <!-- STATS_END -->
@@ -40,6 +40,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 位于 `plugins/` 目录，包含各类 Python 编写的功能增强插件：
 
 #### Actions (交互增强)
+
 - **Smart Mind Map** (`smart-mind-map`): 智能分析文本并生成交互式思维导图。
 - **Smart Infographic** (`infographic`): 基于 AntV 的智能信息图生成工具。
 - **Flash Card** (`flash-card`): 快速生成精美的学习记忆卡片。
@@ -48,17 +49,22 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 - **Export to Word** (`export_to_docx`): 将对话内容导出为 Word 文档。
 
 #### Filters (消息处理)
+
 - **Async Context Compression** (`async-context-compression`): 异步上下文压缩，优化 Token 使用。
 - **Context Enhancement** (`context_enhancement_filter`): 上下文增强过滤器。
+- **Folder Memory** (`folder-memory`): 自动从对话中提取项目规则并注入到文件夹系统提示词中。
 - **Gemini Manifold Companion** (`gemini_manifold_companion`): Gemini Manifold 配套增强。
 - **Gemini Multimodal Filter** (`web_gemini_multimodel_filter`): 为任意模型提供多模态能力（PDF、Office、视频等），支持智能路由和字幕精修。
 - **Markdown Normalizer** (`markdown_normalizer`): 修复 LLM 输出中常见的 Markdown 格式问题。
 - **Multi-Model Context Merger** (`multi_model_context_merger`): 自动合并并注入多模型回答的上下文。
 
 #### Pipes (模型管道)
+
+- **GitHub Copilot SDK** (`github-copilot-sdk`): GitHub Copilot SDK 官方集成。支持动态模型、多轮对话、流式输出、图片输入及无限会话。
 - **Gemini Manifold** (`gemini_mainfold`): 集成 Gemini 模型的管道。
 
 #### Pipelines (工作流管道)
+
 - **MoE Prompt Refiner** (`moe_prompt_refiner`): 优化多模型 (MoE) 汇总请求的提示词，生成高质量的综合报告。
 
 ### 🎯 提示词 (Prompts)
@@ -70,6 +76,12 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 
 每个提示词都独立保存为 Markdown 文件，可直接在 OpenWebUI 中使用。
 
+## 🛠️ 扩展 (Extensions)
+
+Open WebUI 的前端增强扩展：
+
+- **[Open WebUI Prompt Plus](https://github.com/Fu-Jie/open-webui-prompt-plus)**: 一站式提示词管理套件，支持 AI 提示词生成、Spotlight 风格快速搜索及高级分类管理。
+
 ## 📖 开发文档
 
 位于 `docs/zh/` 目录：
@@ -106,6 +118,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
 ### 贡献代码
 
 如果你有优质的提示词或插件想要分享：
+
 1. Fork 本仓库。
 2. 将你的文件添加到对应的 `prompts/` 或 `plugins/` 目录。
 3. 提交 Pull Request。

docs/PLUGIN_README_TEMPLATE.md

@@ -0,0 +1,53 @@
+<!--
+NOTE: This template is for the English version (README.md).
+The Chinese version (README_CN.md) MUST be translated based on this English version to ensure consistency in structure and content.
+-->
+# [Plugin Name] [Optional Emoji]
+
+[Brief description of what the plugin does. Keep it concise and engaging.]
+
+**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.0.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+## What's New
+
+<!-- Keep only the latest update here. Remove this section for the initial release. -->
+
+### v1.0.0
+
+- **Initial Release**: Released the first version of the plugin.
+- **[Feature Name]**: [Brief description of the feature].
+
+## Key Features 🔑
+
+- **[Feature 1]**: [Description of feature 1].
+- **[Feature 2]**: [Description of feature 2].
+- **[Feature 3]**: [Description of feature 3].
+
+## How to Use 🛠️
+
+1. **Install**: Add the plugin to your OpenWebUI instance.
+2. **Configure**: Adjust settings in the Valves menu (optional).
+3. **[Action Step]**: Describe how to trigger or use the plugin.
+4. **[Result Step]**: Describe the expected outcome.
+
+## Configuration (Valves) ⚙️
+
+| Valve | Default | Description |
+|-------|---------|-------------|
+| `VALVE_NAME` | `Default Value` | Description of what this setting does. |
+| `ANOTHER_VALVE` | `True` | Another setting description. |
+
+## ⭐ Support
+
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
+
+## Troubleshooting ❓
+
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Enable `SHOW_DEBUG_LOG` in Valves and check the browser console (F12) for detailed logs.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## Changelog
+
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

docs/badges/downloads.json

@@ -0,0 +1,7 @@
+{
+  "schemaVersion": 1,
+  "label": "downloads",
+  "message": "3.7k",
+  "color": "blue",
+  "namedLogo": "openwebui"
+}

docs/badges/followers.json

@@ -0,0 +1,6 @@
+{
+  "schemaVersion": 1,
+  "label": "followers",
+  "message": "203",
+  "color": "blue"
+}

docs/badges/plugins.json

@@ -0,0 +1,6 @@
+{
+  "schemaVersion": 1,
+  "label": "plugins",
+  "message": "20",
+  "color": "green"
+}

docs/badges/points.json

@@ -0,0 +1,6 @@
+{
+  "schemaVersion": 1,
+  "label": "points",
+  "message": "246",
+  "color": "orange"
+}

docs/badges/upvotes.json

@@ -0,0 +1,6 @@
+{
+  "schemaVersion": 1,
+  "label": "upvotes",
+  "message": "213",
+  "color": "brightgreen"
+}

docs/community-stats.json

@@ -1,80 +1,49 @@
 {
-  "total_posts": 14,
-  "total_downloads": 1230,
-  "total_views": 13650,
-  "total_upvotes": 80,
+  "total_posts": 20,
+  "total_downloads": 3675,
+  "total_views": 43326,
+  "total_upvotes": 213,
   "total_downvotes": 2,
-  "total_saves": 79,
-  "total_comments": 18,
+  "total_saves": 253,
+  "total_comments": 46,
   "by_type": {
-    "action": 13,
-    "unknown": 1
+    "action": 15,
+    "unknown": 4,
+    "filter": 1
   },
   "posts": [
     {
       "title": "Smart Mind Map",
       "slug": "turn_any_text_into_beautiful_mind_maps_3094c59a",
       "type": "action",
-      "version": "0.9.1",
+      "version": "0.9.2",
       "author": "Fu-Jie",
       "description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
-      "downloads": 392,
-      "views": 3535,
-      "upvotes": 11,
-      "saves": 22,
-      "comments": 11,
+      "downloads": 877,
+      "views": 7765,
+      "upvotes": 21,
+      "saves": 47,
+      "comments": 13,
       "created_at": "2025-12-30",
-      "updated_at": "2026-01-07",
+      "updated_at": "2026-01-28",
       "url": "https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a"
     },
     {
-      "title": "Export to Excel",
-      "slug": "export_mulit_table_to_excel_244b8f9d",
-      "type": "action",
-      "version": "0.3.7",
-      "author": "Fu-Jie",
-      "description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
-      "downloads": 187,
-      "views": 604,
-      "upvotes": 3,
-      "saves": 4,
-      "comments": 0,
-      "created_at": "2025-05-30",
-      "updated_at": "2026-01-07",
-      "url": "https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d"
-    },
-    {
-      "title": "📊 Smart Infographic (AntV)",
+      "title": "Smart Infographic",
       "slug": "smart_infographic_ad6f0c7f",
       "type": "action",
-      "version": "1.4.9",
+      "version": "1.5.0",
       "author": "Fu-Jie",
       "description": "AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.",
-      "downloads": 145,
-      "views": 1594,
-      "upvotes": 8,
-      "saves": 10,
-      "comments": 2,
+      "downloads": 631,
+      "views": 5825,
+      "upvotes": 23,
+      "saves": 33,
+      "comments": 10,
       "created_at": "2025-12-28",
-      "updated_at": "2026-01-11",
+      "updated_at": "2026-01-30",
       "url": "https://openwebui.com/posts/smart_infographic_ad6f0c7f"
     },
-    {
-      "title": "Async Context Compression",
-      "slug": "async_context_compression_b1655bc8",
-      "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": 144,
-      "views": 1596,
-      "upvotes": 7,
-      "saves": 11,
-      "comments": 0,
-      "created_at": "2025-11-08",
-      "updated_at": "2026-01-11",
-      "url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
-    },
     {
       "title": "Export to Word (Enhanced)",
       "slug": "export_to_word_enhanced_formatting_fca6a315",
@@ -82,15 +51,63 @@
       "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": 104,
-      "views": 938,
-      "upvotes": 6,
-      "saves": 10,
-      "comments": 0,
+      "downloads": 343,
+      "views": 2659,
+      "upvotes": 12,
+      "saves": 26,
+      "comments": 2,
       "created_at": "2026-01-03",
-      "updated_at": "2026-01-07",
+      "updated_at": "2026-01-28",
       "url": "https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315"
     },
+    {
+      "title": "Export to Excel",
+      "slug": "export_mulit_table_to_excel_244b8f9d",
+      "type": "action",
+      "version": "0.3.7",
+      "author": "Fu-Jie",
+      "description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
+      "downloads": 327,
+      "views": 1519,
+      "upvotes": 7,
+      "saves": 6,
+      "comments": 0,
+      "created_at": "2025-05-30",
+      "updated_at": "2026-01-29",
+      "url": "https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d"
+    },
+    {
+      "title": "Async Context Compression",
+      "slug": "async_context_compression_b1655bc8",
+      "type": "action",
+      "version": "1.2.2",
+      "author": "Fu-Jie",
+      "description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
+      "downloads": 327,
+      "views": 3412,
+      "upvotes": 13,
+      "saves": 33,
+      "comments": 0,
+      "created_at": "2025-11-08",
+      "updated_at": "2026-01-28",
+      "url": "https://openwebui.com/posts/async_context_compression_b1655bc8"
+    },
+    {
+      "title": "Markdown Normalizer",
+      "slug": "markdown_normalizer_baaa8732",
+      "type": "action",
+      "version": "1.2.4",
+      "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": 293,
+      "views": 4243,
+      "upvotes": 17,
+      "saves": 27,
+      "comments": 5,
+      "created_at": "2026-01-12",
+      "updated_at": "2026-01-29",
+      "url": "https://openwebui.com/posts/markdown_normalizer_baaa8732"
+    },
     {
       "title": "Flash Card",
       "slug": "flash_card_65a2ea8f",
@@ -98,46 +115,30 @@
       "version": "0.2.4",
       "author": "Fu-Jie",
       "description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
-      "downloads": 101,
-      "views": 1881,
-      "upvotes": 8,
-      "saves": 6,
+      "downloads": 213,
+      "views": 3239,
+      "upvotes": 13,
+      "saves": 14,
       "comments": 2,
       "created_at": "2025-12-30",
-      "updated_at": "2026-01-07",
+      "updated_at": "2026-01-28",
       "url": "https://openwebui.com/posts/flash_card_65a2ea8f"
     },
     {
-      "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": 40,
-      "views": 1038,
-      "upvotes": 9,
-      "saves": 2,
-      "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": 35,
-      "views": 525,
-      "upvotes": 3,
-      "saves": 0,
+      "title": "AI Task Instruction Generator",
+      "slug": "ai_task_instruction_generator_9bab8b37",
+      "type": "unknown",
+      "version": "",
+      "author": "",
+      "description": "",
+      "downloads": 141,
+      "views": 2180,
+      "upvotes": 8,
+      "saves": 3,
       "comments": 0,
-      "created_at": "2025-12-28",
-      "updated_at": "2026-01-11",
-      "url": "https://openwebui.com/posts/智能信息图_e04a48ff"
+      "created_at": "2026-01-28",
+      "updated_at": "2026-01-28",
+      "url": "https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37"
     },
     {
       "title": "Deep Dive",
@@ -146,45 +147,109 @@
       "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": 35,
-      "views": 351,
-      "upvotes": 3,
-      "saves": 4,
+      "downloads": 132,
+      "views": 1155,
+      "upvotes": 6,
+      "saves": 11,
       "comments": 0,
       "created_at": "2026-01-08",
       "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": 119,
+      "views": 2104,
+      "upvotes": 13,
+      "saves": 6,
+      "comments": 4,
+      "created_at": "2026-01-04",
+      "updated_at": "2026-01-28",
+      "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",
+      "slug": "智能信息图_e04a48ff",
+      "type": "action",
+      "version": "1.5.0",
+      "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": 56,
+      "views": 1003,
+      "upvotes": 10,
+      "saves": 1,
+      "comments": 0,
+      "created_at": "2025-12-28",
+      "updated_at": "2026-01-29",
+      "url": "https://openwebui.com/posts/智能信息图_e04a48ff"
+    },
+    {
+      "title": "📂 Folder Memory – Auto-Evolving Project Context",
+      "slug": "folder_memory_auto_evolving_project_context_4a9875b2",
+      "type": "filter",
+      "version": "0.1.0",
+      "author": "Fu-Jie",
+      "description": "Automatically extracts project rules from conversations and injects them into the folder's system prompt.",
+      "downloads": 55,
+      "views": 1195,
+      "upvotes": 6,
+      "saves": 8,
+      "comments": 0,
+      "created_at": "2026-01-20",
+      "updated_at": "2026-01-20",
+      "url": "https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2"
+    },
+    {
+      "title": "GitHub Copilot Official SDK Pipe",
+      "slug": "github_copilot_official_sdk_pipe_ce96f7b4",
+      "type": "action",
+      "version": "0.2.3",
+      "author": "Fu-Jie",
+      "description": "Integrate GitHub Copilot SDK. Supports dynamic models, multi-turn conversation, streaming, multimodal input, infinite sessions, and frontend debug logging.",
+      "downloads": 49,
+      "views": 1835,
+      "upvotes": 11,
+      "saves": 5,
+      "comments": 1,
+      "created_at": "2026-01-26",
+      "updated_at": "2026-01-29",
+      "url": "https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4"
+    },
     {
       "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",
       "type": "action",
-      "version": "0.9.1",
+      "version": "0.9.2",
       "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": 19,
-      "views": 339,
-      "upvotes": 2,
-      "saves": 1,
+      "downloads": 37,
+      "views": 563,
+      "upvotes": 6,
+      "saves": 2,
       "comments": 0,
       "created_at": "2025-12-31",
-      "updated_at": "2026-01-07",
+      "updated_at": "2026-01-28",
       "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",
+      "version": "1.2.2",
       "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": 12,
-      "views": 254,
-      "upvotes": 4,
-      "saves": 1,
+      "downloads": 31,
+      "views": 624,
+      "upvotes": 7,
+      "saves": 4,
       "comments": 0,
       "created_at": "2025-11-08",
-      "updated_at": "2026-01-11",
+      "updated_at": "2026-01-28",
       "url": "https://openwebui.com/posts/异步上下文压缩_5c0617cb"
     },
     {
@@ -194,13 +259,13 @@
       "version": "0.2.4",
       "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": 376,
-      "upvotes": 4,
+      "downloads": 27,
+      "views": 659,
+      "upvotes": 8,
       "saves": 1,
       "comments": 0,
       "created_at": "2025-12-30",
-      "updated_at": "2026-01-07",
+      "updated_at": "2026-01-28",
       "url": "https://openwebui.com/posts/闪记卡生成插件_4a31eac3"
     },
     {
@@ -210,15 +275,47 @@
       "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": 4,
-      "views": 131,
-      "upvotes": 2,
+      "downloads": 17,
+      "views": 400,
+      "upvotes": 5,
       "saves": 1,
       "comments": 0,
       "created_at": "2026-01-08",
       "updated_at": "2026-01-08",
       "url": "https://openwebui.com/posts/精读_99830b0f"
     },
+    {
+      "title": "🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager",
+      "slug": "open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e",
+      "type": "unknown",
+      "version": "",
+      "author": "",
+      "description": "",
+      "downloads": 0,
+      "views": 1421,
+      "upvotes": 11,
+      "saves": 16,
+      "comments": 7,
+      "created_at": "2026-01-25",
+      "updated_at": "2026-01-28",
+      "url": "https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e"
+    },
+    {
+      "title": "Review of Claude Haiku 4.5",
+      "slug": "review_of_claude_haiku_45_41b0db39",
+      "type": "unknown",
+      "version": "",
+      "author": "",
+      "description": "",
+      "downloads": 0,
+      "views": 134,
+      "upvotes": 2,
+      "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",
@@ -227,9 +324,9 @@
       "author": "",
       "description": "",
       "downloads": 0,
-      "views": 488,
-      "upvotes": 10,
-      "saves": 6,
+      "views": 1391,
+      "upvotes": 14,
+      "saves": 9,
       "comments": 2,
       "created_at": "2026-01-10",
       "updated_at": "2026-01-10",
@@ -241,11 +338,11 @@
     "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": 88,
-    "following": 2,
-    "total_points": 91,
-    "post_points": 78,
-    "comment_points": 13,
-    "contributions": 22
+    "followers": 203,
+    "following": 4,
+    "total_points": 246,
+    "post_points": 211,
+    "comment_points": 35,
+    "contributions": 40
   }
 }

docs/community-stats.md

@@ -1,38 +1,45 @@
 # 📊 OpenWebUI Community Stats Report
 
-> 📅 Updated: 2026-01-12 23:10
+> 📅 Updated: 2026-02-07 09:38
 
 ## 📈 Overview
 
 | Metric | Value |
 |------|------|
-| 📝 Total Posts | 14 |
-| ⬇️ Total Downloads | 1230 |
-| 👁️ Total Views | 13650 |
-| 👍 Total Upvotes | 80 |
-| 💾 Total Saves | 79 |
-| 💬 Total Comments | 18 |
+| 📝 Total Posts | 20 |
+| ⬇️ Total Downloads | 3675 |
+| 👁️ Total Views | 43326 |
+| 👍 Total Upvotes | 213 |
+| 💾 Total Saves | 253 |
+| 💬 Total Comments | 46 |
 
 ## 📂 By Type
 
-- **action**: 13
-- **unknown**: 1
+- **action**: 15
+- **unknown**: 4
+- **filter**: 1
 
 ## 📋 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 | 392 | 3535 | 11 | 22 | 2026-01-07 |
-| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 187 | 604 | 3 | 4 | 2026-01-07 |
-| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 145 | 1594 | 8 | 10 | 2026-01-11 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.1.3 | 144 | 1596 | 7 | 11 | 2026-01-11 |
-| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 104 | 938 | 6 | 10 | 2026-01-07 |
-| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 101 | 1881 | 8 | 6 | 2026-01-07 |
-| 7 | [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 | 40 | 1038 | 9 | 2 | 2026-01-07 |
-| 8 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 35 | 525 | 3 | 0 | 2026-01-11 |
-| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 35 | 351 | 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 | 19 | 339 | 2 | 1 | 2026-01-07 |
-| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.1.3 | 12 | 254 | 4 | 1 | 2026-01-11 |
-| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 376 | 4 | 1 | 2026-01-07 |
-| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 4 | 131 | 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 | 488 | 10 | 6 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.2 | 877 | 7765 | 21 | 47 | 2026-01-28 |
+| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.5.0 | 631 | 5825 | 23 | 33 | 2026-01-30 |
+| 3 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 343 | 2659 | 12 | 26 | 2026-01-28 |
+| 4 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 327 | 1519 | 7 | 6 | 2026-01-29 |
+| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.2 | 327 | 3412 | 13 | 33 | 2026-01-28 |
+| 6 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 293 | 4243 | 17 | 27 | 2026-01-29 |
+| 7 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 213 | 3239 | 13 | 14 | 2026-01-28 |
+| 8 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | unknown |  | 141 | 2180 | 8 | 3 | 2026-01-28 |
+| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 132 | 1155 | 6 | 11 | 2026-01-08 |
+| 10 | [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 | 119 | 2104 | 13 | 6 | 2026-01-28 |
+| 11 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.5.0 | 56 | 1003 | 10 | 1 | 2026-01-29 |
+| 12 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter | 0.1.0 | 55 | 1195 | 6 | 8 | 2026-01-20 |
+| 13 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | action | 0.2.3 | 49 | 1835 | 11 | 5 | 2026-01-29 |
+| 14 | [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 | 0.9.2 | 37 | 563 | 6 | 2 | 2026-01-28 |
+| 15 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.2.2 | 31 | 624 | 7 | 4 | 2026-01-28 |
+| 16 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 27 | 659 | 8 | 1 | 2026-01-28 |
+| 17 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 17 | 400 | 5 | 1 | 2026-01-08 |
+| 18 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | unknown |  | 0 | 1421 | 11 | 16 | 2026-01-28 |
+| 19 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 134 | 2 | 0 | 2026-01-14 |
+| 20 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1391 | 14 | 9 | 2026-01-10 |

docs/community-stats.zh.md

@@ -1,38 +1,45 @@
 # 📊 OpenWebUI 社区统计报告
 
-> 📅 更新时间: 2026-01-12 23:10
+> 📅 更新时间: 2026-02-07 09:38
 
 ## 📈 总览
 
 | 指标 | 数值 |
 |------|------|
-| 📝 发布数量 | 14 |
-| ⬇️ 总下载量 | 1230 |
-| 👁️ 总浏览量 | 13650 |
-| 👍 总点赞数 | 80 |
-| 💾 总收藏数 | 79 |
-| 💬 总评论数 | 18 |
+| 📝 发布数量 | 20 |
+| ⬇️ 总下载量 | 3675 |
+| 👁️ 总浏览量 | 43326 |
+| 👍 总点赞数 | 213 |
+| 💾 总收藏数 | 253 |
+| 💬 总评论数 | 46 |
 
 ## 📂 按类型分类
 
-- **action**: 13
-- **unknown**: 1
+- **action**: 15
+- **unknown**: 4
+- **filter**: 1
 
 ## 📋 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 | 392 | 3535 | 11 | 22 | 2026-01-07 |
-| 2 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 187 | 604 | 3 | 4 | 2026-01-07 |
-| 3 | [📊 Smart Infographic (AntV)](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.4.9 | 145 | 1594 | 8 | 10 | 2026-01-11 |
-| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.1.3 | 144 | 1596 | 7 | 11 | 2026-01-11 |
-| 5 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 104 | 938 | 6 | 10 | 2026-01-07 |
-| 6 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 101 | 1881 | 8 | 6 | 2026-01-07 |
-| 7 | [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 | 40 | 1038 | 9 | 2 | 2026-01-07 |
-| 8 | [📊 智能信息图 (AntV Infographic)](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.4.9 | 35 | 525 | 3 | 0 | 2026-01-11 |
-| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 35 | 351 | 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 | 19 | 339 | 2 | 1 | 2026-01-07 |
-| 11 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.1.3 | 12 | 254 | 4 | 1 | 2026-01-11 |
-| 12 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 12 | 376 | 4 | 1 | 2026-01-07 |
-| 13 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 4 | 131 | 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 | 488 | 10 | 6 | 2026-01-10 |
+| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action | 0.9.2 | 877 | 7765 | 21 | 47 | 2026-01-28 |
+| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action | 1.5.0 | 631 | 5825 | 23 | 33 | 2026-01-30 |
+| 3 | [Export to Word (Enhanced)](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action | 0.4.3 | 343 | 2659 | 12 | 26 | 2026-01-28 |
+| 4 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action | 0.3.7 | 327 | 1519 | 7 | 6 | 2026-01-29 |
+| 5 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | action | 1.2.2 | 327 | 3412 | 13 | 33 | 2026-01-28 |
+| 6 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | action | 1.2.4 | 293 | 4243 | 17 | 27 | 2026-01-29 |
+| 7 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action | 0.2.4 | 213 | 3239 | 13 | 14 | 2026-01-28 |
+| 8 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | unknown |  | 141 | 2180 | 8 | 3 | 2026-01-28 |
+| 9 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action | 1.0.0 | 132 | 1155 | 6 | 11 | 2026-01-08 |
+| 10 | [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 | 119 | 2104 | 13 | 6 | 2026-01-28 |
+| 11 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action | 1.5.0 | 56 | 1003 | 10 | 1 | 2026-01-29 |
+| 12 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter | 0.1.0 | 55 | 1195 | 6 | 8 | 2026-01-20 |
+| 13 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | action | 0.2.3 | 49 | 1835 | 11 | 5 | 2026-01-29 |
+| 14 | [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 | 0.9.2 | 37 | 563 | 6 | 2 | 2026-01-28 |
+| 15 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action | 1.2.2 | 31 | 624 | 7 | 4 | 2026-01-28 |
+| 16 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action | 0.2.4 | 27 | 659 | 8 | 1 | 2026-01-28 |
+| 17 | [精读](https://openwebui.com/posts/精读_99830b0f) | action | 1.0.0 | 17 | 400 | 5 | 1 | 2026-01-08 |
+| 18 | [🚀 Open WebUI Prompt Plus: AI-Powered Prompt Manager](https://openwebui.com/posts/open_webui_prompt_plus_ai_powered_prompt_manager_s_15fa060e) | unknown |  | 0 | 1421 | 11 | 16 | 2026-01-28 |
+| 19 | [Review of Claude Haiku 4.5](https://openwebui.com/posts/review_of_claude_haiku_45_41b0db39) | unknown |  | 0 | 134 | 2 | 0 | 2026-01-14 |
+| 20 | [ 🛠️ Debug Open WebUI Plugins in Your Browser](https://openwebui.com/posts/debug_open_webui_plugins_in_your_browser_81bf7960) | unknown |  | 0 | 1391 | 14 | 9 | 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/extensions/index.md

@@ -0,0 +1,22 @@
+---
+title: Extensions
+---
+
+# Extensions
+
+Standalone frontend extensions to supercharge your Open WebUI.
+
+---
+
+## 🚀 Open WebUI Prompt Plus
+
+**An all-in-one prompt management suite for power users.**
+
+[Open WebUI Prompt Plus](https://github.com/Fu-Jie/open-webui-prompt-plus) elevates your experience with:
+
+- **🤖 AI-Powered Prompt Generator**: Turn natural language into structured prompts.
+- **⚡ Quick Insert Panel**: Spotlight-style search (`Cmd/Ctrl + Shift + P`).
+- **📂 Advanced Management**: Dynamic categories, favorites, and usage stats.
+- **📝 Native Variable Support**: Visual form rendering for template variables.
+
+[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/open-webui-prompt-plus){ .md-button .md-button--primary }

docs/extensions/index.zh.md

@@ -0,0 +1,22 @@
+---
+title: 扩展 (Extensions)
+---
+
+# 扩展 (Extensions)
+
+Open WebUI 的独立前端增强扩展。
+
+---
+
+## 🚀 Open WebUI Prompt Plus
+
+**专为高级用户打造的一站式提示词管理套件。**
+
+[Open WebUI Prompt Plus](https://github.com/Fu-Jie/open-webui-prompt-plus) 通过以下功能提升您的体验：
+
+- **🤖 AI 提示词生成器**: 将自然语言转化为结构化提示词。
+- **⚡ 快速插入面板**: Spotlight 风格的快速搜索 (`Cmd/Ctrl + Shift + P`)。
+- **📂 高级管理**: 动态分类、收藏夹及使用统计。
+- **📝 原生变量支持**: 模板变量的可视化表单渲染。
+
+[:fontawesome-brands-github: 查看 GitHub](https://github.com/Fu-Jie/open-webui-prompt-plus){ .md-button .md-button--primary }

docs/features/plugin/development/events.mdx

@@ -349,6 +349,53 @@ await __event_emitter__(
 )
 ```
 
+#### Advanced Use Case: Retrieving Frontend Data
+
+One of the most powerful capabilities of the `execute` event type is the ability to fetch data from the browser environment (JavaScript) and return it to your Python backend. This allows plugins to access information like:
+
+- `localStorage` items (user preferences, tokens)
+- `navigator` properties (language, geolocation, platform)
+- `document` properties (cookies, URL parameters)
+
+**How it works:**
+The JavaScript code you provide in the `"code"` field is executed in the browser. If your JS code includes a `return` statement, that value is sent back to Python as the result of `await __event_call__`.
+
+**Example: Getting the User's UI Language**
+
+```python
+try:
+    # Execute JS on the frontend to get language settings
+    response = await __event_call__(
+        {
+            "type": "execute",
+            "data": {
+                # This JS code runs in the browser.
+                # The 'return' value is sent back to Python.
+                "code": """
+                    return (
+                        localStorage.getItem('locale') || 
+                        localStorage.getItem('language') || 
+                        navigator.language || 
+                        'en-US'
+                    );
+                """,
+            },
+        }
+    )
+    
+    # 'response' will contain the string returned by JS (e.g., "en-US", "zh-CN")
+    # Note: Wrap in try-except to handle potential timeouts or JS errors
+    logger.info(f"Frontend Language: {response}")
+    
+except Exception as e:
+    logger.error(f"Failed to get frontend data: {e}")
+```
+
+**Key capabilities unlocked:**
+- **Context Awareness:** Adapt responses based on user time zone or language.
+- **Client-Side Storage:** Use `localStorage` to persist simple plugin settings without a database.
+- **Hardware Access:** Request geolocation or clipboard access (requires user permission).
+
 ---
 
 ## 🏗️ When & Where to Use Events
@@ -421,4 +468,4 @@ Refer to this document for common event types and structures, and explore Open W
 
 ---
 
-**Happy event-driven coding in Open WebUI! 🚀**
+**Happy event-driven coding in Open WebUI! 🚀**

docs/index.md

@@ -25,7 +25,7 @@ hide:
 
 <div class="grid cards" markdown>
 
--   :material-puzzle:{ .lg .middle } **Plugin Center**
+- :material-puzzle:{ .lg .middle } **Plugin Center**
 
     ---
 
@@ -33,7 +33,7 @@ hide:
 
     [:octicons-arrow-right-24: Explore Plugins](plugins/index.md)
 
--   :material-message-text:{ .lg .middle } **Prompt Library**
+- :material-message-text:{ .lg .middle } **Prompt Library**
 
     ---
 
@@ -41,7 +41,7 @@ hide:
 
     [:octicons-arrow-right-24: Browse Prompts](prompts/index.md)
 
--   :material-tools:{ .lg .middle } **Enhancements**
+- :material-tools:{ .lg .middle } **Enhancements**
 
     ---
 
@@ -49,7 +49,15 @@ hide:
 
     [:octicons-arrow-right-24: View Guides](enhancements/index.md)
 
--   :material-book-open-page-variant:{ .lg .middle } **Development**
+- :material-rocket-launch:{ .lg .middle } **Extensions**
+
+    ---
+
+    Standalone frontend extensions to supercharge your Open WebUI interface.
+
+    [:octicons-arrow-right-24: Browse Extensions](extensions/index.md)
+
+- :material-book-open-page-variant:{ .lg .middle } **Development**
 
     ---
 
@@ -65,7 +73,7 @@ hide:
 
 <div class="grid cards" markdown>
 
--   :material-brain:{ .lg .middle } **Smart Mind Map**
+- :material-brain:{ .lg .middle } **Smart Mind Map**
 
     ---
 
@@ -73,15 +81,15 @@ 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**
+- :material-arrow-collapse-vertical:{ .lg .middle } **Async Context Compression**
 
     ---
 

docs/index.zh.md

@@ -25,7 +25,7 @@ hide:
 
 <div class="grid cards" markdown>
 
--   :material-puzzle:{ .lg .middle } **插件中心**
+- :material-puzzle:{ .lg .middle } **插件中心**
 
     ---
 
@@ -33,7 +33,7 @@ hide:
 
     [:octicons-arrow-right-24: 探索插件](plugins/index.md)
 
--   :material-message-text:{ .lg .middle } **提示词库**
+- :material-message-text:{ .lg .middle } **提示词库**
 
     ---
 
@@ -41,7 +41,7 @@ hide:
 
     [:octicons-arrow-right-24: 浏览提示词](prompts/index.md)
 
--   :material-tools:{ .lg .middle } **增强功能**
+- :material-tools:{ .lg .middle } **增强功能**
 
     ---
 
@@ -49,7 +49,15 @@ hide:
 
     [:octicons-arrow-right-24: 查看指南](enhancements/index.md)
 
--   :material-book-open-page-variant:{ .lg .middle } **开发指南**
+- :material-rocket-launch:{ .lg .middle } **扩展 (Extensions)**
+
+    ---
+
+    独立的 OpenWebUI 前端增强扩展，全面提升交互体验。
+
+    [:octicons-arrow-right-24: 浏览扩展](extensions/index.md)
+
+- :material-book-open-page-variant:{ .lg .middle } **开发指南**
 
     ---
 
@@ -65,7 +73,7 @@ hide:
 
 <div class="grid cards" markdown>
 
--   :material-brain:{ .lg .middle } **智能思维导图**
+- :material-brain:{ .lg .middle } **智能思维导图**
 
     ---
 
@@ -73,15 +81,15 @@ 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**
+- :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">v0.9.2</span>
 
 Intelligently analyzes text content and generates interactive mind maps for better visualization and understanding.
 
@@ -17,13 +17,13 @@ The Smart Mind Map plugin transforms text content into beautiful, interactive mi
 - :material-gesture-swipe: **Rich Controls**: Zoom, reset view, expand level selector (All/2/3) and fullscreen
 - :material-palette: **Theme Aware**: Auto-detects OpenWebUI light/dark theme with manual toggle
 - :material-download: **One-Click Export**: Download high-res PNG, copy SVG, or copy Markdown source
-- :material-translate: **Multi-language**: Adapts output language to the user context
+- :material-translate: **Multi-language**: Matches output language to the input text
 
 ---
 
 ## 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">v0.9.2</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。
 
@@ -17,13 +17,13 @@ Smart Mind Map 会将文本转换成漂亮的交互式思维导图。插件会
 - :material-gesture-swipe: **丰富控制**：缩放/重置、展开层级（全部/2/3 级）与全屏
 - :material-palette: **主题感知**：自动检测 OpenWebUI 亮/暗色主题并支持手动切换
 - :material-download: **一键导出**：下载高分辨率 PNG、复制 SVG 或 Markdown
-- :material-translate: **多语言**：根据用户语言自动输出
+- :material-translate: **多语言**：输出语言与输入文本一致
 
 ---
 
 ## 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/async-context-compression.md

@@ -1,7 +1,7 @@
 # Async Context Compression
 
 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.1.3</span>
+<span class="version-badge">v1.2.2</span>
 
 Reduces token consumption in long conversations through intelligent summarization while maintaining conversational coherence.
 
@@ -34,6 +34,12 @@ This is especially useful for:
 - :material-check-all: **Open WebUI v0.7.x Compatibility**: Dynamic DB session handling
 - :material-account-convert: **Improved Compatibility**: Summary role changed to `assistant`
 - :material-shield-check: **Enhanced Stability**: Resolved race conditions in state management
+- :material-ruler: **Preflight Context Check**: Validates context fit before sending
+- :material-format-align-justify: **Structure-Aware Trimming**: Preserves document structure
+- :material-content-cut: **Native Tool Output Trimming**: Trims verbose tool outputs (Note: Non-native tool outputs are not fully injected into context)
+- :material-chart-bar: **Detailed Token Logging**: Granular token breakdown
+- :material-account-search: **Smart Model Matching**: Inherit config from base models
+- :material-image-off: **Multimodal Support**: Images are preserved but tokens are **NOT** calculated
 
 ---
 
@@ -64,10 +70,14 @@ graph TD
 
 | Option | Type | Default | Description |
 |--------|------|---------|-------------|
-| `token_threshold` | integer | `4000` | Trigger compression above this token count |
-| `preserve_recent` | integer | `5` | Number of recent messages to keep uncompressed |
-| `summary_model` | string | `"auto"` | Model to use for summarization |
-| `compression_ratio` | float | `0.3` | Target compression ratio |
+| `compression_threshold_tokens` | integer | `64000` | Trigger compression above this token count |
+| `max_context_tokens` | integer | `128000` | Hard limit for context |
+| `keep_first` | integer | `1` | Always keep the first N messages |
+| `keep_last` | integer | `6` | Always keep the last N messages |
+| `summary_model` | string | `None` | Model to use for summarization |
+| `summary_model_max_context` | integer | `0` | Max context tokens for summary model |
+| `max_summary_tokens` | integer | `16384` | Maximum tokens for the summary |
+| `enable_tool_output_trimming` | boolean | `false` | Enable trimming of large tool outputs |
 
 ---
 

docs/plugins/filters/async-context-compression.zh.md

@@ -1,7 +1,7 @@
 # Async Context Compression（异步上下文压缩）
 
 <span class="category-badge filter">Filter</span>
-<span class="version-badge">v1.1.3</span>
+<span class="version-badge">v1.2.2</span>
 
 通过智能摘要减少长对话的 token 消耗，同时保持对话连贯。
 
@@ -34,6 +34,12 @@ Async Context Compression 过滤器通过以下方式帮助管理长对话的 to
 - :material-check-all: **Open WebUI v0.7.x 兼容性**：动态数据库会话处理
 - :material-account-convert: **兼容性提升**：摘要角色改为 `assistant`
 - :material-shield-check: **稳定性增强**：解决状态管理竞态条件
+- :material-ruler: **预检上下文检查**：发送前验证上下文是否超限
+- :material-format-align-justify: **结构感知裁剪**：保留文档结构的智能裁剪
+- :material-content-cut: **原生工具输出裁剪**：自动裁剪冗长的工具输出（注意：非原生工具调用输出不会完整注入上下文）
+- :material-chart-bar: **详细 Token 日志**：提供细粒度的 Token 统计
+- :material-account-search: **智能模型匹配**：自定义模型自动继承基础模型配置
+- :material-image-off: **多模态支持**：图片内容保留但 Token **不参与计算**
 
 ---
 
@@ -64,10 +70,14 @@ graph TD
 
 | 选项 | 类型 | 默认值 | 说明 |
 |--------|------|---------|-------------|
-| `token_threshold` | integer | `4000` | 超过该 token 数触发压缩 |
-| `preserve_recent` | integer | `5` | 保留不压缩的最近消息数量 |
-| `summary_model` | string | `"auto"` | 用于摘要的模型 |
-| `compression_ratio` | float | `0.3` | 目标压缩比例 |
+| `compression_threshold_tokens` | integer | `64000` | 超过该 token 数触发压缩 |
+| `max_context_tokens` | integer | `128000` | 上下文硬性上限 |
+| `keep_first` | integer | `1` | 始终保留的前 N 条消息 |
+| `keep_last` | integer | `6` | 始终保留的后 N 条消息 |
+| `summary_model` | string | `None` | 用于摘要的模型 |
+| `summary_model_max_context` | integer | `0` | 摘要模型的最大上下文 Token 数 |
+| `max_summary_tokens` | integer | `16384` | 摘要的最大 token 数 |
+| `enable_tool_output_trimming` | boolean | `false` | 启用长工具输出裁剪 |
 
 ---
 

docs/plugins/filters/folder-memory.md

@@ -0,0 +1,57 @@
+# Folder Memory
+ 
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.1.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+---
+
+### 📌 What's new in 0.1.0
+- **Initial Release**: Automated "Project Rules" management for OpenWebUI folders.
+- **Folder-Level Persistence**: Automatically updates folder system prompts with extracted rules.
+- **Optimized Performance**: Runs asynchronously and supports `PRIORITY` configuration for seamless integration with other filters.
+
+---
+
+**Folder Memory** is an intelligent context filter plugin for OpenWebUI. It automatically extracts consistent "Project Rules" from ongoing conversations within a folder and injects them back into the folder's system prompt.
+
+This ensures that all future conversations within that folder share the same evolved context and rules, without manual updates.
+
+## Features
+
+- **Automatic Extraction**: Analyzes chat history every N messages to extract project rules.
+- **Non-destructive Injection**: Updates only the specific "Project Rules" block in the system prompt, preserving other instructions.
+- **Async Processing**: Runs in the background without blocking the user's chat experience.
+- **ORM Integration**: Directly updates folder data using OpenWebUI's internal models for reliability.
+
+## Prerequisites
+
+- **Conversations must occur inside a folder.** This plugin only triggers when a chat belongs to a folder (i.e., you need to create a folder in OpenWebUI and start a conversation within it).
+
+## Installation
+
+1. Copy `folder_memory.py` to your OpenWebUI `plugins/filters/` directory (or upload via Admin UI).
+2. Enable the filter in your **Settings** -> **Filters**.
+3. (Optional) Configure the triggering threshold (default: every 10 messages).
+
+## Configuration (Valves)
+
+| Valve | Default | Description |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | Priority level for the filter operations. |
+| `MESSAGE_TRIGGER_COUNT` | `10` | The number of messages required to trigger a rule analysis. |
+| `MODEL_ID` | `""` | The model used to generate rules. If empty, uses the current chat model. |
+| `RULES_BLOCK_TITLE` | `## 📂 Project Rules` | The title displayed above the injected rules block. |
+| `SHOW_DEBUG_LOG` | `False` | Show detailed debug logs in the browser console. |
+| `UPDATE_ROOT_FOLDER` | `False` | If enabled, finds and updates the root folder rules instead of the current subfolder. |
+
+## How It Works
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **Trigger**: When a conversation reaches `MESSAGE_TRIGGER_COUNT` (e.g., 10, 20 messages).
+2. **Analysis**: The plugin sends the recent conversation + existing rules to the LLM.
+3. **Synthesis**: The LLM merges new insights with old rules, removing obsolete ones.
+4. **Update**: The new rule set replaces the `<!-- OWUI_PROJECT_RULES_START -->` block in the folder's system prompt.
+
+## Roadmap
+
+See [ROADMAP](https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/ROADMAP.md) for future plans, including "Project Knowledge" collection.

docs/plugins/filters/folder-memory.zh.md

@@ -0,0 +1,57 @@
+# 文件夹记忆 (Folder Memory)
+ 
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.1.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+
+---
+
+### 📌 0.1.0 版本特性
+- **首个版本发布**：专注于自动化的“项目规则”管理。
+- **文件夹级持久化**：自动将提取的规则回写到文件夹系统提示词中。
+- **性能优化**：采用异步处理机制，并支持 `PRIORITY` 配置，确保与其他过滤器（如上下文压缩）完美协作。
+
+---
+
+**文件夹记忆 (Folder Memory)** 是一个 OpenWebUI 的智能上下文过滤器插件。它能自动从文件夹内的对话中提取一致性的“项目规则”，并将其回写到文件夹的系统提示词中。
+
+这确保了该文件夹内的所有未来对话都能共享相同的进化上下文和规则，无需手动更新。
+
+## 功能特性
+
+- **自动提取**：每隔 N 条消息分析一次聊天记录，提取项目规则。
+- **无损注入**：仅更新系统提示词中的特定“项目规则”块，保留其他指令。
+- **异步处理**：在后台运行，不阻塞用户的聊天体验。
+- **ORM 集成**：直接使用 OpenWebUI 的内部模型更新文件夹数据，确保可靠性。
+
+## 前置条件
+
+- **对话必须在文件夹内进行。** 此插件仅在聊天属于某个文件夹时触发（即您需要先在 OpenWebUI 中创建一个文件夹，并在其内部开始对话）。
+
+## 安装指南
+
+1. 将 `folder_memory.py` (或中文版 `folder_memory_cn.py`) 复制到 OpenWebUI 的 `plugins/filters/` 目录（或通过管理员 UI 上传）。
+2. 在 **设置** -> **过滤器** 中启用该插件。
+3. （可选）配置触发阈值（默认：每 10 条消息）。
+
+## 配置 (Valves)
+
+| 参数 | 默认值 | 说明 |
+| :--- | :--- | :--- |
+| `PRIORITY` | `20` | 过滤器操作的优先级。 |
+| `MESSAGE_TRIGGER_COUNT` | `10` | 触发规则分析的消息数量阈值。 |
+| `MODEL_ID` | `""` | 用于生成规则的模型 ID。若为空，则使用当前对话模型。 |
+| `RULES_BLOCK_TITLE` | `## 📂 项目规则` | 显示在注入规则块上方的标题。 |
+| `SHOW_DEBUG_LOG` | `False` | 在浏览器控制台显示详细调试日志。 |
+| `UPDATE_ROOT_FOLDER` | `False` | 如果启用，将向上查找并更新根文件夹的规则，而不是当前子文件夹。 |
+
+## 工作原理
+
+![Folder Memory Demo](https://raw.githubusercontent.com/Fu-Jie/awesome-openwebui/main/plugins/filters/folder-memory/folder-memory-demo.png)
+
+1. **触发**：当对话达到 `MESSAGE_TRIGGER_COUNT`（例如 10、20 条消息）时。
+2. **分析**：插件将最近的对话 + 现有规则发送给 LLM。
+3. **综合**：LLM 将新见解与旧规则合并，移除过时的规则。
+4. **更新**：新的规则集替换文件夹系统提示词中的 `<!-- OWUI_PROJECT_RULES_START -->` 块。
+
+## 路线图
+
+查看 [ROADMAP](https://github.com/Fu-Jie/awesome-openwebui/blob/main/plugins/filters/folder-memory/ROADMAP.md) 了解未来计划，包括“项目知识”收集功能。

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

@@ -22,7 +22,7 @@ Filters act as middleware in the message pipeline:
 
     Reduces token consumption in long conversations through intelligent summarization while maintaining coherence.
 
-    **Version:** 1.1.3
+    **Version:** 1.2.2
 
     [:octicons-arrow-right-24: Documentation](async-context-compression.md)
 
@@ -36,15 +36,15 @@ Filters act as middleware in the message pipeline:
 
     [:octicons-arrow-right-24: Documentation](context-enhancement.md)
 
--   :material-google:{ .lg .middle } **Gemini Manifold Companion**
+-   :material-folder-refresh:{ .lg .middle } **Folder Memory**
 
     ---
 
-    Companion filter for the Gemini Manifold pipe plugin.
+    Automatically extracts consistent "Project Rules" from ongoing conversations within a folder and injects them back into the folder's system prompt.
 
-    **Version:** 1.7.0
+    **Version:** 0.1.0
 
-    [:octicons-arrow-right-24: Documentation](gemini-manifold-companion.md)
+    [:octicons-arrow-right-24: Documentation](folder-memory.md)
 
 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**
 
@@ -52,10 +52,30 @@ 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:** 1.2.4
 
     [: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

@@ -22,7 +22,7 @@ Filter 充当消息管线中的中间件：
 
     通过智能总结减少长对话的 token 消耗，同时保持连贯性。
 
-    **版本：** 1.1.3
+    **版本：** 1.2.2
 
     [:octicons-arrow-right-24: 查看文档](async-context-compression.md)
 
@@ -36,15 +36,15 @@ 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**
+-   :material-folder-refresh:{ .lg .middle } **Folder Memory**
 
     ---
 
-    Gemini Manifold Pipe 插件的伴随过滤器。
+    自动从文件夹内的对话中提取一致性的“项目规则”，并将其回写到文件夹的系统提示词中。
 
-    **版本：** 1.7.0
+    **版本：** 0.1.0
 
-    [:octicons-arrow-right-24: 查看文档](gemini-manifold-companion.md)
+    [:octicons-arrow-right-24: 查看文档](folder-memory.zh.md)
 
 -   :material-format-paint:{ .lg .middle } **Markdown Normalizer**
 
@@ -52,7 +52,7 @@ Filter 充当消息管线中的中间件：
 
     修复 LLM 输出中常见的 Markdown 格式问题，包括 Mermaid 语法、代码块和 LaTeX 公式。
 
-    **版本：** 1.0.1
+    **版本：** 1.2.4
 
     [:octicons-arrow-right-24: 查看文档](markdown_normalizer.zh.md)
 

docs/plugins/filters/markdown_normalizer.md

@@ -1,45 +1,97 @@
 # 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.
+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.
-*   **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 (`\[` -> `$$`, `\(` -> `$`).
-*   **Thought Tag Normalization**: Unifies thought tags (`<think>`, `<thinking>` -> `<thought>`).
-*   **Escape Character Fix**: Cleans up excessive escape characters (`\\n`, `\\t`).
-*   **List Formatting**: Ensures proper newlines in list items.
-*   **Heading Fix**: Adds missing spaces in headings (`#Heading` -> `# Heading`).
-*   **Table Fix**: Adds missing closing pipes in tables.
-*   **XML Cleanup**: Removes leftover XML artifacts.
+* **Details Tag Normalization**: Ensures proper spacing for `<details>` tags (used for thought chains). Adds a blank line after `</details>` and ensures a newline after self-closing `<details />` tags to prevent rendering issues.
+* **Emphasis Spacing Fix**: Fixes extra spaces inside emphasis markers (e.g., `** text **` -> `**text**`) which can cause rendering failures. Includes safeguards to protect math expressions (e.g., `2 * 3 * 4`) and list variables.
+* **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 (`\[` -> `$$`, `\(` -> `$`).
+* **Thought Tag Normalization**: Unifies thought tags (`<think>`, `<thinking>` -> `<thought>`).
+* **Escape Character Fix**: Cleans up excessive escape characters (`\\n`, `\\t`).
+* **List Formatting**: Ensures proper newlines in list items.
+* **Heading Fix**: Adds missing spaces in headings (`#Heading` -> `# Heading`).
+* **Table Fix**: Adds missing closing pipes in tables.
+* **XML Cleanup**: Removes leftover XML artifacts.
 
 ## Usage
 
-1.  Install the plugin in Open WebUI.
-2.  Enable the filter globally or for specific models.
-3.  Configure the enabled fixes in the **Valves** settings.
-4.  (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
+1. Install the plugin in Open WebUI.
+2. Enable the filter globally or for specific models.
+3. Configure the enabled fixes in the **Valves** settings.
+4. (Optional) **Show Debug Log** is enabled by default in Valves. This prints structured logs to the browser console (F12).
     > [!WARNING]
     > As this is an initial version, some "negative fixes" might occur (e.g., breaking valid Markdown). If you encounter issues, please check the console logs, copy the "Original" vs "Normalized" content, and submit an issue.
 
 ## Configuration (Valves)
 
-*   `priority`: Filter priority (default: 50).
-*   `enable_escape_fix`: Fix excessive escape characters.
-*   `enable_thought_tag_fix`: Normalize thought tags.
-*   `enable_code_block_fix`: Fix code block formatting.
-*   `enable_latex_fix`: Normalize LaTeX formulas.
-*   `enable_list_fix`: Fix list item newlines (Experimental).
-*   `enable_unclosed_block_fix`: Auto-close unclosed code blocks.
-*   `enable_fullwidth_symbol_fix`: Fix full-width symbols in code blocks.
-*   `enable_mermaid_fix`: Fix Mermaid syntax errors.
-*   `enable_heading_fix`: Fix missing space in headings.
-*   `enable_table_fix`: Fix missing closing pipe in tables.
-*   `enable_xml_tag_cleanup`: Cleanup leftover XML tags.
-*   `show_status`: Show status notification when fixes are applied.
-*   `show_debug_log`: Print debug logs to browser console.
+* `priority`: Filter priority (default: 50).
+* `enable_escape_fix`: Fix excessive escape characters.
+* `enable_thought_tag_fix`: Normalize thought tags.
+* `enable_details_tag_fix`: Normalize details tags (default: True).
+* `enable_code_block_fix`: Fix code block formatting.
+* `enable_latex_fix`: Normalize LaTeX formulas.
+* `enable_list_fix`: Fix list item newlines (Experimental).
+* `enable_unclosed_block_fix`: Auto-close unclosed code blocks.
+* `enable_fullwidth_symbol_fix`: Fix full-width symbols in code blocks.
+* `enable_mermaid_fix`: Fix Mermaid syntax errors.
+* `enable_heading_fix`: Fix missing space in headings.
+* `enable_table_fix`: Fix missing closing pipe in tables.
+* `enable_xml_tag_cleanup`: Cleanup leftover XML tags.
+* `enable_emphasis_spacing_fix`: Fix extra spaces in emphasis (default: True).
+* `show_status`: Show status notification when fixes are applied.
+* `show_debug_log`: Print debug logs to browser console.
+
+## Troubleshooting ❓
+
+* **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## Changelog
+
+### v1.2.4
+
+* **Documentation Updates**: Synchronized version numbers across all documentation and code files.
+
+### v1.2.3
+
+* **List Marker Protection Enhancement**: Fixed a bug where list markers (`*`) followed by plain text and emphasis were having their spaces incorrectly stripped (e.g., `*   U16 forward` became `*U16 forward`).
+* **Placeholder Support**: Confirmed that 4 or more underscores (e.g., `____`) are correctly treated as placeholders and not modified by the emphasis fix.
+
+### v1.2.2
+
+* **Code Block Indentation Fix**: Fixed an issue where code blocks nested inside lists were having their indentation incorrectly stripped. Now preserves proper indentation for nested code blocks.
+* **Underscore Emphasis Support**: Extended emphasis spacing fix to support `__` (double underscore for bold) and `___` (triple underscore for bold+italic) syntax.
+* **List Marker Protection**: Fixed a bug where list markers (`*`) followed by emphasis markers (`**`) were incorrectly merged (e.g., `*   **Yes**` became `***Yes**`). Added safeguard to prevent this.
+* **Test Suite**: Added comprehensive pytest test suite with 56 test cases covering all major features.
+
+### v1.2.1
+
+* **Emphasis Spacing Fix**: Added a new fix for extra spaces inside emphasis markers (e.g., `** text **` -> `**text**`).
+  * Uses a recursive approach to handle nested emphasis (e.g., `**bold _italic _**`).
+  * Includes safeguards to prevent modifying math expressions (e.g., `2 * 3 * 4`) or list variables.
+  * Controlled by the `enable_emphasis_spacing_fix` valve (default: True).
+
+### v1.2.0
+
+* **Details Tag Support**: Added normalization for `<details>` tags.
+  * Ensures a blank line is added after `</details>` closing tags to separate thought content from the main response.
+  * Ensures a newline is added after self-closing `<details ... />` tags to prevent them from interfering with subsequent Markdown headings (e.g., fixing `<details/>#Heading`).
+  * Includes safeguard to prevent modification of `<details>` tags inside code blocks.
+
+### 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
 

docs/plugins/filters/markdown_normalizer.zh.md

@@ -1,45 +1,97 @@
 # 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。
+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。
-*   **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 (`\[` -> `$$`, `\(` -> `$`)。
-*   **思维标签规范化**: 统一思维链标签 (`<think>`, `<thinking>` -> `<thought>`)。
-*   **转义字符修复**: 清理过度的转义字符 (`\\n`, `\\t`)。
-*   **列表格式化**: 确保列表项有正确的换行。
-*   **标题修复**: 修复标题中缺失的空格 (`#标题` -> `# 标题`)。
-*   **表格修复**: 修复表格中缺失的闭合管道符。
-*   **XML 清理**: 移除残留的 XML 标签。
+* **Details 标签规范化**: 确保 `<details>` 标签（常用于思维链）有正确的间距。在 `</details>` 后添加空行，并在自闭合 `<details />` 标签后添加换行，防止渲染问题。
+* **强调空格修复**: 修复强调标记内部的多余空格（例如 `** 文本 **` -> `**文本**`），这会导致 Markdown 渲染失败。包含保护机制，防止误修改数学表达式（如 `2 * 3 * 4`）或列表变量。
+* **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 (`\[` -> `$$`, `\(` -> `$`)。
+* **思维标签规范化**: 统一思维链标签 (`<think>`, `<thinking>` -> `<thought>`)。
+* **转义字符修复**: 清理过度的转义字符 (`\\n`, `\\t`)。
+* **列表格式化**: 确保列表项有正确的换行。
+* **标题修复**: 修复标题中缺失的空格 (`#标题` -> `# 标题`)。
+* **表格修复**: 修复表格中缺失的闭合管道符。
+* **XML 清理**: 移除残留的 XML 标签。
 
 ## 使用方法
 
-1.  在 Open WebUI 中安装此插件。
-2.  全局启用或为特定模型启用此过滤器。
-3.  在 **Valves** 设置中配置需要启用的修复项。
-4.  (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
+1. 在 Open WebUI 中安装此插件。
+2. 全局启用或为特定模型启用此过滤器。
+3. 在 **Valves** 设置中配置需要启用的修复项。
+4. (可选) **显示调试日志 (Show Debug Log)** 在 Valves 中默认开启。这会将结构化的日志打印到浏览器控制台 (F12)。
     > [!WARNING]
     > 由于这是初版，可能会出现“负向修复”的情况（例如破坏了原本正确的格式）。如果您遇到问题，请务必查看控制台日志，复制“原始 (Original)”与“规范化 (Normalized)”的内容对比，并提交 Issue 反馈。
 
 ## 配置项 (Valves)
 
-*   `priority`: 过滤器优先级 (默认: 50)。
-*   `enable_escape_fix`: 修复过度的转义字符。
-*   `enable_thought_tag_fix`: 规范化思维标签。
-*   `enable_code_block_fix`: 修复代码块格式。
-*   `enable_latex_fix`: 规范化 LaTeX 公式。
-*   `enable_list_fix`: 修复列表项换行 (实验性)。
-*   `enable_unclosed_block_fix`: 自动闭合未闭合的代码块。
-*   `enable_fullwidth_symbol_fix`: 修复代码块中的全角符号。
-*   `enable_mermaid_fix`: 修复 Mermaid 语法错误。
-*   `enable_heading_fix`: 修复标题中缺失的空格。
-*   `enable_table_fix`: 修复表格中缺失的闭合管道符。
-*   `enable_xml_tag_cleanup`: 清理残留的 XML 标签。
-*   `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。
+* `priority`: 过滤器优先级 (默认: 50)。
+* `enable_escape_fix`: 修复过度的转义字符。
+* `enable_thought_tag_fix`: 规范化思维标签。
+* `enable_details_tag_fix`: 规范化 Details 标签 (默认: True)。
+* `enable_code_block_fix`: 修复代码块格式。
+* `enable_latex_fix`: 规范化 LaTeX 公式。
+* `enable_list_fix`: 修复列表项换行 (实验性)。
+* `enable_unclosed_block_fix`: 自动闭合未闭合的代码块。
+* `enable_fullwidth_symbol_fix`: 修复代码块中的全角符号。
+* `enable_mermaid_fix`: 修复 Mermaid 语法错误。
+* `enable_heading_fix`: 修复标题中缺失的空格。
+* `enable_table_fix`: 修复表格中缺失的闭合管道符。
+* `enable_xml_tag_cleanup`: 清理残留的 XML 标签。
+* `enable_emphasis_spacing_fix`: 修复强调语法中的多余空格 (默认: True)。
+* `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。
+
+## 故障排除 (Troubleshooting) ❓
+
+* **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## 更新日志
+
+### v1.2.4
+
+* **文档更新**: 同步了所有文档和代码文件的版本号。
+
+### v1.2.3
+
+* **列表标记保护增强**: 修复了列表标记 (`*`) 后跟普通文本和强调标记时，空格被错误剥离的问题（例如 `*   U16 前锋` 变成 `*U16 前锋`）。
+* **占位符支持**: 确认 4 个或更多下划线（如 `____`）会被正确视为占位符，不会被强调修复逻辑修改。
+
+### v1.2.2
+
+* **代码块缩进修复**: 修复了列表中嵌套代码块的缩进被错误剥离的问题。现在会正确保留嵌套代码块的缩进。
+* **下划线强调语法支持**: 扩展强调空格修复以支持 `__` (双下划线加粗) 和 `___` (三下划线加粗斜体) 语法。
+* **列表标记保护**: 修复了列表标记 (`*`) 后跟强调标记 (`**`) 被错误合并的 Bug（例如 `*   **是**` 变成 `***是**`）。添加了保护逻辑防止此问题。
+* **测试套件**: 新增完整的 pytest 测试套件，包含 56 个测试用例，覆盖所有主要功能。
+
+### v1.2.1
+
+* **强调空格修复**: 新增了对强调标记内部多余空格的修复（例如 `** 文本 **` -> `**文本**`）。
+  * 采用递归方法处理嵌套强调（例如 `**加粗 _斜体 _**`）。
+  * 包含保护机制，防止误修改数学表达式（如 `2 * 3 * 4`）或列表变量。
+  * 通过 `enable_emphasis_spacing_fix` 开关控制（默认：开启）。
+
+### v1.2.0
+
+* **Details 标签支持**: 新增了对 `<details>` 标签的规范化支持。
+  * 确保在 `</details>` 闭合标签后添加空行，将思维内容与正文分隔开。
+  * 确保在自闭合 `<details ... />` 标签后添加换行，防止其干扰后续的 Markdown 标题（例如修复 `<details/>#标题`）。
+  * 包含保护机制，防止修改代码块内部的 `<details>` 标签。
+
+### 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
 

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 | 0.9.2 |
+| [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 | 0.9.2 |
+| [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/github-copilot-sdk.md

@@ -0,0 +1,100 @@
+# GitHub Copilot SDK Pipe for OpenWebUI
+
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.3.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+This is an advanced Pipe function for [OpenWebUI](https://github.com/open-webui/open-webui) that allows you to use GitHub Copilot models (such as `gpt-5`, `gpt-5-mini`, `claude-sonnet-4.5`) directly within OpenWebUI. It is built upon the official [GitHub Copilot SDK for Python](https://github.com/github/copilot-sdk), providing a native integration experience.
+
+## 🚀 What's New (v0.3.0) - The Power of "Unified Ecosystem"
+
+* **🔌 Zero-Config Tool Bridge**: Automatically transforms your existing OpenWebUI Functions (Tools) into Copilot-compatible tools. **Copilot now has total access to your entire WebUI toolset!**
+* **🔗 Dynamic MCP Discovery**: Seamlessly connects to MCP servers defined in **Admin Settings -> Connections**. No configuration files required—it just works.
+* **⚡ High-Performance Async Engine**: Background CLI updates and optimized event-driven streaming ensure lightning-fast responses without UI lag.
+* **🛡️ Robust Interoperability**: Advanced sanitization and dynamic Pydantic model generation ensure smooth integration even with complex third-party tools.
+
+## ✨ Key Capabilities
+
+* **🌉 The Ultimate Bridge**: The first and only plugin that creates a seamless bridge between **OpenWebUI Tools** and **GitHub Copilot SDK**.
+* **🚀 Official & Native**: Built directly on the official Python SDK, providing the most stable and authentic Copilot experience.
+* **🌊 Advanced Streaming (Thought Process)**: Supports full model reasoning/thinking display with typewriter effects.
+* **🖼️ Intelligent Multimodal**: Full support for images and attachments, enabling Copilot to "see" your workspace.
+* **🛠️ Effortless Setup**: Automatic CLI detection, version enforcement, and dependency management.
+* **🔑 Dual-Layer Security**: Supports secure OAuth flow for Chat and standard PAT for extended MCP capabilities.
+
+## 📦 Installation & Usage
+
+### 1. Import Function
+
+1. Open OpenWebUI.
+2. Go to **Workspace** -> **Functions**.
+3. Click **+** (Create Function).
+4. Paste the content of `github_copilot_sdk.py` (or `github_copilot_sdk_cn.py` for Chinese) completely.
+5. Save.
+
+### 2. Configure Valves (Settings)
+
+Find "GitHub Copilot" in the function list and click the **⚙️ (Valves)** icon to configure:
+
+| Parameter | Description | Default |
+| :--- | :--- | :--- |
+| **GH_TOKEN** | **(Required)** GitHub Access Token (PAT or OAuth Token). Access to Chat. | - |
+| **DEBUG** | Whether to enable debug logs (output to browser console). | `False` |
+| **LOG_LEVEL** | Copilot CLI log level: none, error, warning, info, debug, all. | `error` |
+| **SHOW_THINKING** | Show model reasoning/thinking process (requires streaming + model support). | `True` |
+| **COPILOT_CLI_VERSION** | Specific Copilot CLI version to install/enforce. | `0.0.405` |
+| **EXCLUDE_KEYWORDS** | Exclude models containing these keywords (comma separated). | - |
+| **WORKSPACE_DIR** | Restricted workspace directory for file operations. | - |
+| **INFINITE_SESSION** | Enable Infinite Sessions (automatic context compaction). | `True` |
+| **COMPACTION_THRESHOLD** | Background compaction threshold (0.0-1.0). | `0.8` |
+| **BUFFER_THRESHOLD** | Buffer exhaustion threshold (0.0-1.0). | `0.95` |
+| **TIMEOUT** | Timeout for each stream chunk (seconds). | `300` |
+| **CUSTOM_ENV_VARS** | Custom environment variables (JSON format). | - |
+| **REASONING_EFFORT** | Reasoning effort level: low, medium, high. `xhigh` is supported for some models. | `medium` |
+| **ENFORCE_FORMATTING** | Add formatting instructions to system prompt for better readability. | `True` |
+| **ENABLE_MCP_SERVER** | Enable Direct MCP Client connection (Recommended). | `True` |
+| **ENABLE_OPENWEBUI_TOOLS** | Enable OpenWebUI Tools (includes defined and server tools). | `True` |
+
+#### User Valves (per-user overrides)
+
+These optional settings can be set per user (overrides global Valves):
+
+| Parameter | Description | Default |
+| :--- | :--- | :--- |
+| **GH_TOKEN** | Personal GitHub Token (overrides global setting). | - |
+| **REASONING_EFFORT** | Reasoning effort level (low/medium/high/xhigh). | - |
+| **DEBUG** | Enable technical debug logs. | `False` |
+| **SHOW_THINKING** | Show model reasoning/thinking process. | `True` |
+| **ENABLE_OPENWEBUI_TOOLS** | Enable OpenWebUI Tools (overrides global). | `True` |
+| **ENABLE_MCP_SERVER** | Enable MCP server loading (overrides global). | `True` |
+| **ENFORCE_FORMATTING** | Enforce formatting guidelines (overrides global). | `True` |
+
+### 3. Get Token
+
+To use GitHub Copilot, you need a GitHub Personal Access Token (PAT) with appropriate permissions.
+
+**Steps to generate your token:**
+
+1. Visit [GitHub Token Settings](https://github.com/settings/tokens?type=beta).
+2. Click **Generate new token (fine-grained)**.
+3. **Repository access**: Select **Public Repositories** (simplest) or **All repositories**.
+4. **Permissions**:
+    * If you chose **All repositories**, you must click **Account permissions**.
+    * Find **Copilot Requests**, and select **Access**.
+5. Generate and copy the Token.
+
+## 📋 Dependencies
+
+This Pipe will automatically attempt to install the following dependencies:
+
+* `github-copilot-sdk` (Python package)
+* `github-copilot-cli` (Binary file, installed via official script)
+
+## Troubleshooting ❓
+
+* **Images and Multimodal Usage**:
+  * Ensure `MODEL_ID` is a model that supports multimodal input.
+* **Thinking not shown**:
+  * Ensure **streaming is enabled** and the selected model supports reasoning output.
+
+## 📄 License
+
+MIT

docs/plugins/pipes/github-copilot-sdk.zh.md

@@ -0,0 +1,100 @@
+# GitHub Copilot SDK 官方管道
+
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.3.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+
+这是一个用于 [OpenWebUI](https://github.com/open-webui/open-webui) 的高级 Pipe 函数，允许你直接在 OpenWebUI 中使用 GitHub Copilot 模型（如 `gpt-5`, `gpt-5-mini`, `claude-sonnet-4.5`）。它基于官方 [GitHub Copilot SDK for Python](https://github.com/github/copilot-sdk) 构建，提供了原生级的集成体验。
+
+## 🚀 最新特性 (v0.3.0) - “统一生态”的力量
+
+* **🔌 零配置工具桥接 (Unified Tool Bridge)**: 自动将您现有的 OpenWebUI Functions (工具) 转换为 Copilot 兼容工具。**Copilot 现在可以无缝调用您手头所有的 WebUI 工具！**
+* **🔗 动态 MCP 自动发现**: 直接联动 OpenWebUI **管理面板 -> 连接**。无需编写任何配置文件，即插即用，瞬间扩展 Copilot 能力边界。
+* **⚡ 高性能异步引擎**: 异步 CLI 更新检查与高度优化的事件驱动流式处理，确保对话毫秒级响应。
+* **🛡️ 卓越的兼容性**: 独创的动态 Pydantic 模型生成技术，确保复杂工具参数在 Copilot 端也能得到精准验证。
+
+## ✨ 核心能力
+
+* **🌉 强大的生态桥接**: 首个且唯一完美打通 **OpenWebUI Tools** 与 **GitHub Copilot SDK** 的插件。
+* **🚀 官方原生产体验**: 基于官方 Python SDK 构建，提供最稳定、最纯正的 Copilot 交互体验。
+* **🌊 深度推理展示**: 完整支持模型思考过程 (Thinking Process) 的流式渲染。
+* **🖼️ 智能多模态**: 支持图像识别与附件上传，让 Copilot 拥有视觉能力。
+* **🛠️ 极简部署流程**: 自动检测环境、自动下载 CLI、自动管理依赖，全自动化开箱即用。
+* **🔑 安全认证体系**: 完美支持 OAuth 授权与 PAT 模式，兼顾便捷与安全性。
+
+## 📦 安装与使用
+
+### 1. 导入函数
+
+1. 打开 OpenWebUI。
+2. 进入 **Workspace** -> **Functions**。
+3. 点击 **+** (创建函数)。
+4. 将 `github_copilot_sdk_cn.py` 的内容完整粘贴进去。
+5. 保存。
+
+### 2. 配置 Valves (设置)
+
+在函数列表中找到 "GitHub Copilot"，点击 **⚙️ (Valves)** 图标进行配置：
+
+| 参数 | 说明 | 默认值 |
+| :--- | :--- | :--- |
+| **GH_TOKEN** | **(必填)** GitHub 访问令牌 (PAT 或 OAuth Token)。用于聊天。 | - |
+| **DEBUG** | 是否开启调试日志（输出到浏览器控制台）。 | `False` |
+| **LOG_LEVEL** | Copilot CLI 日志级别: none, error, warning, info, debug, all。 | `error` |
+| **SHOW_THINKING** | 是否显示模型推理/思考过程（需开启流式 + 模型支持）。 | `True` |
+| **COPILOT_CLI_VERSION** | 指定安装/强制使用的 Copilot CLI 版本。 | `0.0.405` |
+| **EXCLUDE_KEYWORDS** | 排除包含这些关键词的模型（逗号分隔）。 | - |
+| **WORKSPACE_DIR** | 文件操作的受限工作区目录。 | - |
+| **INFINITE_SESSION** | 启用无限会话（自动上下文压缩）。 | `True` |
+| **COMPACTION_THRESHOLD** | 后台压缩阈值 (0.0-1.0)。 | `0.8` |
+| **BUFFER_THRESHOLD** | 缓冲区耗尽阈值 (0.0-1.0)。 | `0.95` |
+| **TIMEOUT** | 每个流式分块超时（秒）。 | `300` |
+| **CUSTOM_ENV_VARS** | 自定义环境变量 (JSON 格式)。 | - |
+| **REASONING_EFFORT** | 推理强度级别: low, medium, high. `xhigh` 仅部分模型支持。 | `medium` |
+| **ENFORCE_FORMATTING** | 在系统提示词中添加格式化指导。 | `True` |
+| **ENABLE_MCP_SERVER** | 启用直接 MCP 客户端连接 (建议)。 | `True` |
+| **ENABLE_OPENWEBUI_TOOLS** | 启用 OpenWebUI 工具 (包括自定义和服务器工具)。 | `True` |
+
+#### 用户 Valves（按用户覆盖）
+
+以下设置可按用户单独配置（覆盖全局 Valves）：
+
+| 参数 | 说明 | 默认值 |
+| :--- | :--- | :--- |
+| **GH_TOKEN** | 个人 GitHub Token（覆盖全局设置）。 | - |
+| **REASONING_EFFORT** | 推理强度级别（low/medium/high/xhigh）。 | - |
+| **DEBUG** | 是否启用技术调试日志。 | `False` |
+| **SHOW_THINKING** | 是否显示思考过程。 | `True` |
+| **ENABLE_OPENWEBUI_TOOLS** | 启用 OpenWebUI 工具（覆盖全局设置）。 | `True` |
+| **ENABLE_MCP_SERVER** | 启用动态 MCP 服务器加载（覆盖全局设置）。 | `True` |
+| **ENFORCE_FORMATTING** | 强制启用格式化指导（覆盖全局设置）。 | `True` |
+
+### 3. 获取 Token
+
+要使用 GitHub Copilot，您需要一个具有适当权限的 GitHub 个人访问令牌 (PAT)。
+
+**获取步骤：**
+
+1. 访问 [GitHub 令牌设置](https://github.com/settings/tokens?type=beta)。
+2. 点击 **Generate new token (fine-grained)**。
+3. **Repository access**: 选择 **Public Repositories** (最简单) 或 **All repositories**。
+4. **Permissions**:
+    * 如果您选择了 **All repositories**，则必须点击 **Account permissions**。
+    * 找到 **Copilot Requests**，选择 **Access**。
+5. 生成并复制令牌。
+
+## 📋 依赖说明
+
+该 Pipe 会自动尝试安装以下依赖（如果环境中缺失）：
+
+* `github-copilot-sdk` (Python 包)
+* `github-copilot-cli` (二进制文件，通过官方脚本安装)
+
+## 故障排除 (Troubleshooting) ❓
+
+* **图片及多模态使用说明**：
+  * 确保 `MODEL_ID` 是支持多模态的模型。
+* **看不到思考过程**：
+  * 确认已开启**流式输出**，且所选模型支持推理输出。
+
+## 📄 许可证
+
+MIT

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>
+- [GitHub Copilot SDK](github-copilot-sdk.md) (v0.3.0) - Official GitHub Copilot SDK integration. Features **zero-config OpenWebUI Tool Bridge** and **dynamic MCP discovery**. Supports streaming, multimodal, and infinite sessions.
 
 ---
 

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>
+- [GitHub Copilot SDK](github-copilot-sdk.zh.md) (v0.3.0) - GitHub Copilot SDK 官方集成。**零配置工具桥接**与**动态 MCP 发现**。支持流式输出、多模态及无限会话。
 
 ---
 

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/README.md

@@ -124,10 +124,6 @@ Each plugin should include:
 Fu-Jie
 GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
 
-## License
-
-MIT License
-
 ---
 
 > **Note**: For detailed information about each plugin type, see the respective README files in each plugin type directory.

plugins/README_CN.md

@@ -124,10 +124,6 @@ plugins/
 Fu-Jie
 GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
 
-## 许可证
-
-MIT License
-
 ---
 
 > **注意**：有关每种插件类型的详细信息，请参阅每个插件类型目录中的相应 README 文件。

plugins/actions/README.md

@@ -230,7 +230,3 @@ except Exception as e:
 
 Fu-Jie
 GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## License
-
-MIT License

plugins/actions/README_CN.md

@@ -229,7 +229,3 @@ except Exception as e:
 
 Fu-Jie
 GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## 许可证
-
-MIT License

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) | **License:** MIT
 
 A comprehensive thinking lens that dives deep into any content - from context to logic, insights, and action paths.
 
@@ -39,6 +39,10 @@ A comprehensive thinking lens that dives deep into any content - from context to
 | **Clear Previous HTML (CLEAR_PREVIOUS_HTML)** | `True` | Whether to clear previous plugin results. |
 | **Message Count (MESSAGE_COUNT)** | `1` | Number of recent messages to analyze. |
 
+## ⭐ Support
+
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
+
 ## 🌗 Theme Support
 
 The plugin automatically detects and adapts to OpenWebUI's theme settings:
@@ -48,7 +52,7 @@ The plugin automatically detects and adapts to OpenWebUI's theme settings:
   2. Parent document `html/body` class or `data-theme` attribute
   3. System preference via `prefers-color-scheme: dark`
 
-- **Requirements**: For best results, enable **iframe Sandbox Allow Same Origin** in OpenWebUI: 
+- **Requirements**: For best results, enable **iframe Sandbox Allow Same Origin** in OpenWebUI:
   - Go to **Settings** → **Interface** → **Artifacts** → Check **iframe Sandbox Allow Same Origin**
 
 ## 🎨 Visual Preview
@@ -81,3 +85,14 @@ The plugin generates a structured thinking timeline:
 
 - `deep_dive.py` - English version
 - `deep_dive_cn.py` - Chinese version (精读)
+
+## Troubleshooting ❓
+
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Enable `SHOW_STATUS` in Valves to see progress updates.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## Changelog
+
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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) | **许可证:** MIT
 
 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。
 
@@ -39,6 +39,10 @@
 | **清除旧 HTML (CLEAR_PREVIOUS_HTML)** | `True` | 是否清除之前的插件结果。 |
 | **消息数量 (MESSAGE_COUNT)** | `1` | 要分析的最近消息数量。 |
 
+## ⭐ 支持
+
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
+
 ## 🌗 主题支持
 
 插件会自动检测并适配 OpenWebUI 的主题设置：
@@ -81,3 +85,14 @@
 
 - `deep_dive.py` - 英文版 (Deep Dive)
 - `deep_dive_cn.py` - 中文版 (精读)
+
+## 故障排除 (Troubleshooting) ❓
+
+- **插件不工作？**: 请检查是否在模型设置中启用了该过滤器/动作。
+- **调试日志**: 在 Valves 中启用 `SHOW_STATUS` 以查看进度更新。
+- **错误信息**: 如果看到错误，请复制完整的错误信息并报告。
+- **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## 更新日志
+
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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) | **License:** MIT
 
 Export conversation to Word (.docx) with **syntax highlighting**, **native math equations**, **Mermaid diagrams**, **citations**, and **enhanced table formatting**.
 
@@ -44,6 +44,10 @@ Export conversation to Word (.docx) with **syntax highlighting**, **native math
 | **Mermaid PNG Scale** | `3.0` | Resolution multiplier for Mermaid images |
 | **Math Enable** | `True` | Enable LaTeX math conversion |
 
+## ⭐ Support
+
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
+
 ## 🛠️ Supported Markdown Syntax
 
 | Syntax | Word Result |
@@ -71,18 +75,13 @@ Export conversation to Word (.docx) with **syntax highlighting**, **native math
 - `latex2mathml` - LaTeX to MathML conversion
 - `mathml2omml` - MathML to Office Math (OMML) conversion
 
+## Troubleshooting ❓
+
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Check the browser console (F12) for detailed logs if available.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
 ## 📝 Changelog
 
-### v0.4.3
-- **S3 Object Storage**: Direct S3/MinIO access via boto3 for faster image retrieval.
-- **6-Level Fallback**: Robust file retrieval: DB → S3 → Local → URL → API → Attributes.
-- **Better Logging**: Improved error messages for debugging file access issues.
-
-### v0.4.1
-- **Chinese Parameter Names**: Localized configuration names for Chinese version.
-
-### v0.4.0
-- **Multi-language Support**: UI language switching (English/Chinese).
-- **Font & Style Configuration**: Customizable fonts and table colors.
-- **Mermaid Enhancements**: Hybrid SVG+PNG rendering, background color config.
-- **Performance**: Real-time progress updates for large exports.
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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) | **许可证:** MIT
 
 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**。
 
@@ -44,6 +44,10 @@
 | **Mermaid_PNG缩放比例** | `3.0` | Mermaid 图片分辨率倍数 |
 | **启用数学公式** | `True` | 启用 LaTeX 公式转换 |
 
+## ⭐ 支持
+
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
+
 ## 🛠️ 支持的 Markdown 语法
 
 | 语法 | Word 效果 |
@@ -71,18 +75,13 @@
 - `latex2mathml` - LaTeX 转 MathML
 - `mathml2omml` - MathML 转 Office Math (OMML)
 
+## 故障排除 (Troubleshooting) ❓
+
+- **插件不工作？**: 请检查是否在模型设置中启用了该过滤器/动作。
+- **调试日志**: 请查看浏览器控制台 (F12) 获取详细日志（如果可用）。
+- **错误信息**: 如果看到错误，请复制完整的错误信息并报告。
+- **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
 ## 📝 更新日志
 
-### v0.4.3
-- **S3 对象存储**: 通过 boto3 直连 S3/MinIO，图片获取速度更快。
-- **6 级回退机制**: 稳健的文件获取：数据库 → S3 → 本地 → URL → API → 属性。
-- **日志优化**: 改进错误提示，便于调试文件访问问题。
-
-### v0.4.1
-- **中文参数名**: 配置项名称和描述全部汉化。
-
-### v0.4.0
-- **多语言支持**: 界面语言切换（中文/英文）。
-- **字体与样式配置**: 支持自定义中英文字体、代码字体以及表格颜色。
-- **Mermaid 增强**: 混合 SVG+PNG 渲染，支持背景色配置。
-- **性能优化**: 导出大型文档时提供实时进度反馈。
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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/README.md

@@ -1,4 +1,59 @@
-# Export to Excel
+# 📊 Export to Excel
+
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.3.6 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
+
+Export chat history to an Excel (.xlsx) file directly from the chat interface.
+
+## 🔥 What's New in v0.3.6
+
+- **OpenWebUI-Style Theme**: Modern dark header (#1f2937) with light gray zebra striping for better readability.
+- **Zebra Striping**: Alternating row colors (#ffffff / #f3f4f6) for improved visual scanning.
+- **Smart Data Type Conversion**: Automatically converts columns to numeric or datetime types with fallback to string.
+- **Full Cell Bold/Italic**: Supports full cell Markdown bold (`**text**`) and italic (`*text*`) formatting in Excel.
+- **Partial Markdown Cleanup**: Removes partial Markdown formatting symbols for cleaner Excel output.
+- **Export Scope**: Added `EXPORT_SCOPE` to choose between the last message or all messages.
+- **Smart Sheet Naming**: Names sheets based on Markdown headers, AI titles, or message index.
+- **Multiple Tables Support**: Improved handling of multiple tables across messages.
+- **Smart Filename Generation**: Supports filenames based on chat title, AI summary, or Markdown headers.
+- **Configuration Options**: Added `TITLE_SOURCE` to control filename strategy.
+- **AI Title Generation**: Added `MODEL_ID` to use AI for filename generation with progress notifications.
+
+## ✨ Core Features
+
+- 🚀 **One-Click Export**: Adds an “Export to Excel” action button to the chat.
+- 🧠 **Automatic Header Extraction**: Intelligently identifies table headers from chat content.
+- 📊 **Multi-Table Support**: Handles multiple tables within a single chat session.
+
+## 🚀 How to Use
+
+1. **Install**: Search for “Export to Excel” in the Open WebUI Community and install.
+2. **Trigger**: In any chat, click the “Export to Excel” action button.
+3. **Download**: The .xlsx file will be automatically downloaded.
+
+## ⚙️ Configuration (Valves)
+
+| Parameter | Default | Description |
+| :--- | :--- | :--- |
+| `TITLE_SOURCE` | `chat_title` | Filename source: `chat_title`, `ai_generated`, or `markdown_title`. |
+| `EXPORT_SCOPE` | `last_message` | Export scope: `last_message` or `all_messages`. |
+| `MODEL_ID` | `""` | Model ID for AI title generation. Empty uses current chat model. |
+| `SHOW_STATUS` | `True` | Show operation status updates. |
+| `SHOW_DEBUG_LOG` | `False` | Print debug logs in the browser console (F12). |
+
+## ⭐ Support
+
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
+
+## Troubleshooting ❓
+
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Enable `SHOW_STATUS` and check the browser console (F12) if needed.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## Changelog
+
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)# Export to Excel
 
 This plugin allows you to export your chat history to an Excel (.xlsx) file directly from the chat interface.
 

plugins/actions/export_to_excel/README_CN.md

@@ -1,4 +1,59 @@
-# 导出为 Excel
+# 📊 导出为 Excel
+
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.3.6 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
+
+将对话历史直接导出为 Excel (.xlsx) 文件。
+
+## 🔥 最新更新 v0.3.6
+
+- **OpenWebUI 风格主题**：现代深灰表头（#1f2937）与浅灰斑马纹，提升可读性。
+- **斑马纹效果**：隔行变色（#ffffff / #f3f4f6），方便视觉扫描。
+- **智能数据类型转换**：自动将列转换为数字或日期类型，无法转换时保持字符串。
+- **全单元格粗体/斜体**：支持全单元格 Markdown 粗体与斜体格式。
+- **部分 Markdown 清理**：移除部分 Markdown 格式符号，输出更整洁。
+- **导出范围**：新增 `EXPORT_SCOPE`，可选择导出最后一条或所有消息。
+- **智能 Sheet 命名**：按 Markdown 标题、AI 标题或消息索引命名。
+- **多表格支持**：优化了多表格处理能力。
+- **智能文件名生成**：支持对话标题 / AI 总结 / Markdown 标题命名。
+- **配置选项**：新增 `TITLE_SOURCE` 控制文件名策略。
+- **AI 标题生成**：新增 `MODEL_ID`，支持 AI 标题生成与进度提示。
+
+## ✨ 核心特性
+
+- 🚀 **一键导出**：在聊天界面添加“导出为 Excel”按钮。
+- 🧠 **自动表头提取**：智能识别聊天内容中的表格标题。
+- 📊 **多表支持**：支持单次对话中的多个表格。
+
+## 🚀 使用方法
+
+1. **安装**：在 Open WebUI 社区搜索“导出为 Excel”并安装。
+2. **触发**：在任意对话中，点击“导出为 Excel”动作按钮。
+3. **下载**：.xlsx 文件将自动下载到你的设备。
+
+## ⚙️ 配置参数 (Valves)
+
+| 参数 | 默认值 | 描述 |
+| :--- | :--- | :--- |
+| `TITLE_SOURCE` | `chat_title` | 文件名来源：`chat_title`、`ai_generated`、`markdown_title`。 |
+| `EXPORT_SCOPE` | `last_message` | 导出范围：`last_message` 或 `all_messages`。 |
+| `MODEL_ID` | `""` | AI 标题生成的模型 ID。为空则使用当前对话模型。 |
+| `SHOW_STATUS` | `True` | 是否显示操作状态更新。 |
+| `SHOW_DEBUG_LOG` | `False` | 是否在浏览器控制台输出调试日志 (F12)。 |
+
+## ⭐ 支持
+
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
+
+## 故障排除 (Troubleshooting) ❓
+
+- **插件不工作？**: 请检查是否在模型设置中启用了该过滤器/动作。
+- **调试日志**: 如需排查，启用 `SHOW_STATUS` 并查看浏览器控制台 (F12)。
+- **错误信息**: 如果看到错误，请复制完整的错误信息并报告。
+- **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## 更新日志
+
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)# 导出为 Excel
 
 此插件允许你直接从聊天界面将对话历史导出为 Excel (.xlsx) 文件。
 

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/README.md

@@ -2,9 +2,15 @@
 
 Generate polished learning flashcards from any text—title, summary, key points, tags, and category—ready for review and sharing.
 
-![Flash Card Example](flash_card.png)
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.2.4 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
 
-## Highlights
+## What's New
+
+### v0.2.4
+
+- **Clean Output**: Removed debug messages from output.
+
+## Key Features 🔑
 
 - **One-click generation**: Drop in text, get a structured card.
 - **Concise extraction**: 3–5 key points and 2–4 tags automatically surfaced.
@@ -12,7 +18,14 @@ Generate polished learning flashcards from any text—title, summary, key points
 - **Progressive merge**: Multiple runs append cards into the same HTML container; enable clearing to reset.
 - **Status updates**: Live notifications for generating/done/error.
 
-## Parameters
+## How to Use 🛠️
+
+1. **Install**: Add the plugin to your OpenWebUI instance.
+2. **Configure**: Adjust settings in the Valves menu (optional).
+3. **Trigger**: Send text to the chat.
+4. **Result**: Watch status updates; the card HTML is embedded into the latest message.
+
+## Configuration (Valves) ⚙️
 
 | Param               | Description                                                  | Default |
 | ------------------- | ------------------------------------------------------------ | ------- |
@@ -23,34 +36,21 @@ Generate polished learning flashcards from any text—title, summary, key points
 | CLEAR_PREVIOUS_HTML | Whether to clear previous card HTML (otherwise append/merge) | false   |
 | MESSAGE_COUNT       | Use the latest N messages to build the card                  | 1       |
 
-## How to Use
+## ⭐ Support
 
-1. Install and enable “Flash Card”.
-2. Send the text to the chat (multi-turn supported; governed by MESSAGE_COUNT).
-3. Watch status updates; the card HTML is embedded into the latest message.
-4. To regenerate from scratch, toggle CLEAR_PREVIOUS_HTML or resend text.
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
 
-## Output Format
+## Troubleshooting ❓
 
-- JSON fields: `title`, `summary`, `key_points` (3–5), `tags` (2–4), `category`.
-- UI: gradient-styled card with tags, key-point list; supports stacking multiple cards.
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Enable `SHOW_STATUS` in Valves to see progress updates.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
 
-## Tips
+## Preview 📸
 
-- Very short text triggers a prompt to add more; consider summarizing first.
-- Long text is accepted; for deep analysis, pre-condense with other tools before card creation.
-
-## Author
-
-Fu-Jie
-GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## License
-
-MIT License
+![Flash Card Example](flash_card.png)
 
 ## Changelog
 
-### v0.2.4
-
-- Removed debug messages from output
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

plugins/actions/flash-card/README_CN.md

@@ -2,17 +2,28 @@
 
 快速将文本提炼为精美的学习记忆卡片，自动抽取标题、摘要、关键要点、标签和分类，适合复习与分享。
 
-![闪记卡示例](flash_card_cn.png)
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.2.4 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
 
-## 功能亮点
+## 🔥 最新更新 v0.2.4
 
-- **一键生成**：输入任意文本，直接产出结构化卡片。
-- **要点聚合**：自动提取 3-5 个记忆要点与 2-4 个标签。
-- **多语言支持**：可设定目标语言（默认中文）。
-- **渐进合并**：多次调用会将新卡片合并到同一 HTML 容器中；如需重置可启用清空选项。
-- **状态提示**：实时推送“生成中/完成/错误”等状态与通知。
+* **输出优化**: 移除输出中的调试信息。
 
-## 参数说明
+## 核心特性 🔑
+
+* **一键生成**：输入任意文本，直接产出结构化卡片。
+* **要点聚合**：自动提取 3-5 个记忆要点与 2-4 个标签。
+* **多语言支持**：可设定目标语言（默认中文）。
+* **渐进合并**：多次调用会将新卡片合并到同一 HTML 容器中；如需重置可启用清空选项。
+* **状态提示**：实时推送“生成中/完成/错误”等状态与通知。
+
+## 使用方法 🛠️
+
+1. **安装**: 在插件市场安装并启用“闪记卡”。
+2. **配置**: 根据需要调整 Valves 设置（可选）。
+3. **触发**: 将待整理的文本发送到聊天框。
+4. **结果**: 等待状态提示，卡片将以 HTML 形式嵌入到最新消息中。
+
+## 配置参数 (Valves) ⚙️
 
 | 参数                | 说明                                  | 默认值 |
 | ------------------- | ------------------------------------- | ------ |
@@ -23,34 +34,21 @@
 | CLEAR_PREVIOUS_HTML | 是否清空旧的卡片 HTML（否则合并追加） | false  |
 | MESSAGE_COUNT       | 取最近 N 条消息生成卡片               | 1      |
 
-## 使用步骤
+## ⭐ 支持
 
-1. 在插件市场安装并启用“闪记卡”。
-2. 将待整理的文本发送到聊天框（可多轮对话，受 MESSAGE_COUNT 控制）。
-3. 等待状态提示，卡片将以 HTML 形式嵌入到最新消息中。
-4. 若需重新生成，开启 CLEAR_PREVIOUS_HTML 或直接重发文本。
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
 
-## 输出格式
+## 故障排除 (Troubleshooting) ❓
 
-- JSON 字段：`title`、`summary`、`key_points`（3-5 条）、`tags`（2-4 条）、`category`。
-- 前端呈现：单卡片带渐变主题、标签胶囊、要点列表，可连续追加多张卡片。
+* **插件不工作？**: 请检查是否在模型设置中启用了该过滤器/动作。
+* **调试日志**: 在 Valves 中启用 `SHOW_STATUS` 以查看进度更新。
+* **错误信息**: 如果看到错误，请复制完整的错误信息并报告。
+* **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
 
-## 使用建议
+## 预览 📸
 
-- 文本过短会提醒补充，可先汇总再生成卡片。
-- 长文本无需截断，直接生成；如需深度分析可先用其他工具精炼后再制作卡片。
-
-## 作者
-
-Fu-Jie
-GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## 许可证
-
-MIT License
+![闪记卡示例](flash_card_cn.png)
 
 ## 更新日志
 
-### v0.2.4
-
-- 移除输出中的调试信息
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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

@@ -1,21 +1,14 @@
-# 📊 Smart Infographic (AntV)
+# Smart 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:** 1.5.0 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
 
 An Open WebUI plugin powered by the AntV Infographic engine. It transforms long text into professional, beautiful infographics with a single click.
 
-## 🔥 What's New in v1.4.9
+## 🔥 What's New in v1.5.0
 
-- 🎨 **70+ Official Templates**: Integrated comprehensive AntV infographic template library.
-- 🖼️ **Iconify & unDraw Support**: Richer visuals with official icons and illustrations.
-- 📏 **Visual Optimization**: Improved text wrapping, adaptive sizing, and layout refinement.
-- ✨ **PNG Upload**: Infographics now upload as PNG format for better Word export compatibility.
-- 🔧 **Canvas Conversion**: Uses browser canvas for high-quality SVG to PNG conversion (2x scale).
-
-### Previous: v1.4.0
-
-- ✨ **Default Mode Change**: Default output mode is now `image` (static image) for better compatibility.
-- 📱 **Responsive Sizing**: Images now auto-adapt to the chat container width.
+- 🌐 **Smart Language Detection**: Automatically detects the accurate UI language from your browser.
+- 🗣️ **Context-Aware Generation**: Generated infographics now strictly follow the language of your input content (e.g., input Japanese -> output Japanese infographic).
+- 🐛 **Bug Fixes**: Fixed issues with language synchronization between the UI and generated content.
 
 ## ✨ Key Features
 
@@ -46,6 +39,10 @@ You can adjust the following parameters in the plugin settings to optimize the g
 | **Message Count (MESSAGE_COUNT)** | `1` | Number of recent messages to use for analysis. Increase this for more context. |
 | **Output Mode (OUTPUT_MODE)** | `image` | `image` for static image embedding (default, better compatibility), `html` for interactive chart. |
 
+## ⭐ Support
+
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
+
 ## 🛠️ Supported Template Types
 
 | Category | Template Name | Use Case |
@@ -56,6 +53,17 @@ You can adjust the following parameters in the plugin settings to optimize the g
 | **Hierarchy** | `hierarchy-tree-tech-style-capsule-item`, `hierarchy-structure` | Org Charts, Structures |
 | **Charts** | `chart-column-simple`, `chart-bar-plain-text`, `chart-line-plain-text`, `chart-wordcloud` | Trends, Distributions, Metrics |
 
+## Troubleshooting ❓
+
+- **Plugin not working?**: Check if the filter/action is enabled in the model settings.
+- **Debug Logs**: Enable `SHOW_STATUS` in Valves to see progress updates.
+- **Error Messages**: If you see an error, please copy the full error message and report it.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## Changelog
+
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+
 ## 📝 Syntax Example (For Advanced Users)
 
 You can also input this syntax directly for AI to render:

plugins/actions/infographic/README_CN.md

@@ -1,21 +1,14 @@
-# 📊 智能信息图 (AntV Infographic)
+# 智能信息图
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **Version:** 1.4.9 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 1.5.0 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
 
 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。
 
-## 🔥 v1.4.9 更新日志
+## 🔥 最新更新 v1.5.0
 
-- 🎨 **70+ 官方模板**：全面集成 AntV 官方信息图模板库。
-- 🖼️ **图标与插图支持**：支持 Iconify 图标库与 unDraw 插图库，视觉效果更丰富。
-- 📏 **视觉优化**：改进文本换行逻辑，优化自适应尺寸，提升卡片布局精细度。
-- ✨ **PNG 上传**：信息图现在以 PNG 格式上传，与 Word 导出完美兼容。
-- 🔧 **Canvas 转换**：使用浏览器 Canvas 高质量转换 SVG 为 PNG（2倍缩放）。
-
-### 此前: v1.4.0
-
-- ✨ **默认模式变更**：默认输出模式调整为 `image`（静态图片）。
-- 📱 **响应式尺寸**：图片模式下自动适应聊天容器宽度。
+- 🌐 **智能语言检测**：自动从浏览器准确识别当前界面语言设置。
+- 🗣️ **上下文感知生成**：生成的信息图内容现在严格跟随用户输入内容的语言（例如：输入日语 -> 生成日语信息图）。
+- 🐛 **问题修复**：修复了界面语言与生成内容语言不同步的问题。
 
 ## ✨ 核心特性
 
@@ -46,6 +39,10 @@
 | **上下文消息数 (MESSAGE_COUNT)** | `1` | 用于分析的最近消息条数。增加此值可让 AI 参考更多对话背景。 |
 | **输出模式 (OUTPUT_MODE)** | `image` | `image` 为静态图片嵌入（默认，兼容性好），`html` 为交互式图表。 |
 
+## ⭐ 支持
+
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
+
 ## 🛠️ 支持的模板类型
 
 | 分类 | 模板名称 | 适用场景 |
@@ -56,6 +53,17 @@
 | **层级与结构** | `hierarchy-tree-tech-style-capsule-item`, `hierarchy-structure` | 组织架构、层级关系 |
 | **图表与数据** | `chart-column-simple`, `chart-bar-plain-text`, `chart-line-plain-text`, `chart-wordcloud` | 数据趋势、比例分布、数值对比 |
 
+## 故障排除 (Troubleshooting) ❓
+
+- **插件不工作？**: 请检查是否在模型设置中启用了该过滤器/动作。
+- **调试日志**: 在 Valves 中启用 `SHOW_STATUS` 以查看进度更新。
+- **错误信息**: 如果看到错误，请复制完整的错误信息并报告。
+- **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+## 更新日志
+
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)
+
 ## 📝 语法示例 (高级用户)
 
 你也可以直接输入以下语法让 AI 渲染：

plugins/actions/infographic/README_EN.md

@@ -1,65 +0,0 @@
-# 📊 Smart Infographic (AntV)
-
-An Open WebUI plugin powered by the AntV Infographic engine. It transforms long text into professional, beautiful infographics with a single click.
-
-## ✨ Key Features
-
-- 🚀 **AI-Powered Transformation**: Automatically analyzes text logic, extracts key points, and generates structured charts.
-- 🎨 **Professional Templates**: Includes various AntV official templates: Lists, Trees, Mindmaps, Comparison Tables, Flowcharts, and Statistical Charts.
-- 🔍 **Auto-Icon Matching**: Built-in logic to search and match the most relevant Material Design Icons based on content.
-- 📥 **Multi-Format Export**: Download your infographics as **SVG**, **PNG**, or a **Standalone HTML** file.
-- 🌈 **Highly Customizable**: Supports Dark/Light modes, auto-adapts theme colors, with bold titles and refined card layouts.
-- 📱 **Responsive Design**: Generated charts look great on both desktop and mobile devices.
-
-## 🛠️ Supported Template Types
-
-| Category | Template Name | Use Case |
-| :--- | :--- | :--- |
-| **Lists & Hierarchy** | `list-grid`, `tree-vertical`, `mindmap` | Features, Org Charts, Brainstorming |
-| **Sequence & Relation** | `sequence-roadmap`, `relation-circle` | Roadmaps, Circular Flows, Steps |
-| **Comparison & Analysis** | `compare-binary`, `compare-swot`, `quadrant-quarter` | Pros/Cons, SWOT, Quadrants |
-| **Charts & Data** | `chart-bar`, `chart-line`, `chart-pie` | Trends, Distributions, Metrics |
-
-## 🚀 How to Use
-
-1. **Install**: Search for "Smart Infographic" in the Open WebUI Community and install.
-2. **Trigger**: Enter your text in the chat, then click the **Action Button** (📊 icon) next to the input box.
-3. **AI Processing**: The AI analyzes the text and generates the infographic syntax.
-4. **Preview & Download**: Preview the result and use the download buttons below to save your infographic.
-
-## ⚙️ Configuration (Valves)
-
-You can adjust the following parameters in the plugin settings to optimize the generation:
-
-| Parameter | Default | Description |
-| :--- | :--- | :--- |
-| **Show Status (SHOW_STATUS)** | `True` | Whether to show real-time AI analysis and generation status in the chat. |
-| **Model ID (MODEL_ID)** | `Empty` | Specify the LLM model for text analysis. If empty, the current chat model is used. |
-| **Min Text Length (MIN_TEXT_LENGTH)** | `100` | Minimum characters required to trigger analysis, preventing accidental triggers on short text. |
-| **Clear Previous (CLEAR_PREVIOUS_HTML)** | `False` | Whether to clear previous charts. If `False`, new charts will be appended below. |
-| **Message Count (MESSAGE_COUNT)** | `1` | Number of recent messages to use for analysis. Increase this for more context. |
-
-## 📝 Syntax Example (For Advanced Users)
-
-You can also input this syntax directly for AI to render:
-
-```infographic
-infographic list-grid
-data
-  title 🚀 Plugin Benefits
-  desc Why use the Smart Infographic plugin
-  items
-    - label Fast Generation
-      desc Convert text to charts in seconds
-    - label Beautiful Design
-      desc Uses AntV professional design standards
-```
-
-## 👨‍💻 Author
-
-**jeff**
-- GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## 📄 License
-
-MIT License

plugins/actions/infographic/infographic.py

@@ -1,9 +1,10 @@
 """
-title: 📊 Smart Infographic (AntV)
+title: Smart 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
+version: 1.5.0
 openwebui_id: ad6f0c7f-c571-4dea-821d-8e71697274cf
 description: AI-powered infographic generator based on AntV Infographic. Supports professional templates, auto-icon matching, and SVG/PNG downloads.
 """
@@ -31,6 +32,10 @@ logger = logging.getLogger(__name__)
 SYSTEM_PROMPT_INFOGRAPHIC_ASSISTANT = """
 You are a professional infographic design expert who can analyze user-provided text content and convert it into AntV Infographic syntax format.
 
+## Important Language Rule
+- **GENERATE CONTENT IN INPUT LANGUAGE**: You must generate the text content of the infographic in the **exact same language** as the user's input content (the text you are analyzing).
+- **Format Consistency**: Even if this system prompt is in English, if the user input is in Chinese, the infographic content must be in Chinese. If input is Japanese, output Japanese.
+
 ## Infographic Syntax Specification
 
 Infographic syntax is a Mermaid-like declarative syntax for describing infographic templates, data, and themes.
@@ -263,6 +268,8 @@ 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 +954,90 @@ 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"""
+    async def _get_user_context(
+        self,
+        __user__: Optional[Dict[str, Any]],
+        __event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
+    ) -> 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 = {}
+
+        user_id = user_data.get("id", "unknown_user")
+        user_name = user_data.get("name", "User")
+        user_language = user_data.get("language", "en-US")
+
+        if __event_call__:
+            try:
+                js_code = """
+                    return (
+                        localStorage.getItem('locale') || 
+                        localStorage.getItem('language') || 
+                        navigator.language || 
+                        'en-US'
+                    );
+                """
+                frontend_lang = await __event_call__(
+                    {"type": "execute", "data": {"code": js_code}}
+                )
+                if frontend_lang and isinstance(frontend_lang, str):
+                    user_language = frontend_lang
+            except Exception as e:
+                logger.warning(f"Failed to retrieve frontend language: {e}")
+
+        return {
+            "user_id": user_id,
+            "user_name": user_name,
+            "user_language": user_language,
+        }
+
+    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 +1066,24 @@ 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]*?```"
@@ -1433,18 +1499,10 @@ class Action:
         logger.info("Action: Infographic started (v1.4.0)")
 
         # Get user information
-        if isinstance(__user__, (list, tuple)):
-            user_language = __user__[0].get("language", "en") if __user__ else "en"
-            user_name = __user__[0].get("name", "User") if __user__[0] else "User"
-            user_id = (
-                __user__[0]["id"]
-                if __user__ and "id" in __user__[0]
-                else "unknown_user"
-            )
-        elif isinstance(__user__, dict):
-            user_language = __user__.get("language", "en")
-            user_name = __user__.get("name", "User")
-            user_id = __user__.get("id", "unknown_user")
+        user_ctx = await self._get_user_context(__user__, __event_call__)
+        user_name = user_ctx["user_name"]
+        user_id = user_ctx["user_id"]
+        user_language = user_ctx["user_language"]
 
         # Get current time
         now = datetime.now()
@@ -1628,8 +1686,9 @@ 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

@@ -1,9 +1,10 @@
 """
-title: 📊 智能信息图 (AntV Infographic)
+title: 智能信息图
 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
+version: 1.5.0
 openwebui_id: e04a48ff-23ee-4a41-8ea7-66c19524e7c8
 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。
 """
@@ -31,6 +32,10 @@ logger = logging.getLogger(__name__)
 SYSTEM_PROMPT_INFOGRAPHIC_ASSISTANT = """
 You are a professional infographic design expert who can analyze user-provided text content and convert it into AntV Infographic syntax format.
 
+## Important Language Rule (语言规则)
+- **Priority Input Language (优先使用输入语言)**: You must generate the text content of the infographic in the **exact same language** as the user's input content.
+- **Example**: If the user provides a summary in Chinese, the labels and descriptions in the infographic must be in Chinese.
+
 ## Infographic Syntax Specification
 
 Infographic syntax is a Mermaid-like declarative syntax for describing infographic templates, data, and themes.
@@ -244,6 +249,8 @@ 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 +961,10 @@ 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 +978,82 @@ 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"""
+    async def _get_user_context(
+        self,
+        __user__: Optional[Dict[str, Any]],
+        __event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
+    ) -> 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 = {}
+
+        user_id = user_data.get("id", "unknown_user")
+        user_name = user_data.get("name", "用户")
+        user_language = user_data.get("language", "zh-CN")
+
+        if __event_call__:
+            try:
+                js_code = """
+                    return (
+                        localStorage.getItem('locale') || 
+                        localStorage.getItem('language') || 
+                        navigator.language || 
+                        'zh-CN'
+                    );
+                """
+                frontend_lang = await __event_call__(
+                    {"type": "execute", "data": {"code": js_code}}
+                )
+                if frontend_lang and isinstance(frontend_lang, str):
+                    user_language = frontend_lang
+            except Exception as e:
+                pass
+
+        return {
+            "user_id": user_id,
+            "user_name": user_name,
+            "user_language": user_language,
+        }
+
+    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 +1106,24 @@ 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]*?```"
@@ -1473,20 +1539,10 @@ class Action:
         logger.info("Action: 信息图启动 (v1.4.0)")
 
         # 获取用户信息
-        if isinstance(__user__, (list, tuple)):
-            user_language = (
-                __user__[0].get("language", "zh-CN") if __user__ else "zh-CN"
-            )
-            user_name = __user__[0].get("name", "用户") if __user__[0] else "用户"
-            user_id = (
-                __user__[0]["id"]
-                if __user__ and "id" in __user__[0]
-                else "unknown_user"
-            )
-        elif isinstance(__user__, dict):
-            user_language = __user__.get("language", "zh-CN")
-            user_name = __user__.get("name", "用户")
-            user_id = __user__.get("id", "unknown_user")
+        user_ctx = await self._get_user_context(__user__, __event_call__)
+        user_name = user_ctx["user_name"]
+        user_id = user_ctx["user_id"]
+        user_language = user_ctx["user_language"]
 
         # 获取当前时间
         now = datetime.now()
@@ -1662,8 +1718,9 @@ 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

@@ -1,379 +1,69 @@
 # Smart Mind Map - Mind Mapping Generation Plugin
 
-**Author:** [Fu-Jie](https://github.com/Fu-Jie) | **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.
-
 Smart Mind Map is a powerful OpenWebUI action plugin that intelligently analyzes long-form text content and automatically generates interactive mind maps, helping users structure and visualize knowledge.
 
----
+**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.9.2 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
 
-## 🔥 What's New in v0.9.1
+## What's New in v0.9.2
 
-**New Feature: Image Output Mode**
+**Language Rule Alignment**
 
-- **Static Image Support**: Added `OUTPUT_MODE` configuration parameter.
-  - `html` (default): Interactive HTML mind map.
-  - `image`: Static SVG image embedded directly in Markdown (**No HTML code output**, cleaner chat history).
-- **Efficient Storage**: Image mode uploads SVG to `/api/v1/files`, avoiding huge base64 strings in chat history.
-- **Smart Features**: Auto-responsive width and automatic theme detection (light/dark) for generated images.
+- **Input Language First**: Mind map output now strictly matches the input text language.
+- **Consistent Behavior**: Matches the infographic language rule for predictable multilingual output.
 
-| Feature | HTML Mode (Default) | Image Mode |
-| :--- | :--- | :--- |
-| **Output Format** | Interactive HTML Block | Static Markdown Image |
-| **Interactivity** | Zoom, Pan, Expand/Collapse | None (Static Image) |
-| **Chat History** | Contains HTML Code | Clean (Image URL only) |
-| **Storage** | Browser Rendering | `/api/v1/files` Upload |
+## Key Features 🔑
 
----
+- ✅ **Intelligent Text Analysis**: Automatically identifies core themes, key concepts, and hierarchical structures.
+- ✅ **Interactive Visualization**: Generates beautiful interactive mind maps based on Markmap.js.
+- ✅ **High-Resolution PNG Export**: Export mind maps as high-quality PNG images (9x scale).
+- ✅ **Complete Control Panel**: Zoom controls, expand level selection, and fullscreen mode.
+- ✅ **Theme Switching**: Manual theme toggle button with automatic theme detection.
+- ✅ **Image Output Mode**: Generate static SVG images embedded directly in Markdown for cleaner history.
 
-## Core Features
+## How to Use 🛠️
 
-- ✅ **Intelligent Text Analysis**: Automatically identifies core themes, key concepts, and hierarchical structures
-- ✅ **Interactive Visualization**: Generates beautiful interactive mind maps based on Markmap.js
-- ✅ **High-Resolution PNG Export**: Export mind maps as high-quality PNG images (9x scale, ~1-2MB file size)
-- ✅ **Complete Control Panel**: Zoom controls (+/-/reset), expand level selection (All/2/3 levels), and fullscreen mode
-- ✅ **Theme Switching**: Manual theme toggle button (light/dark) with automatic theme detection
-- ✅ **Dark Mode Support**: Full dark mode support with automatic detection and manual override
-- ✅ **Multi-language Support**: Automatically adjusts output based on user language
-- ✅ **Real-time Rendering**: Renders mind maps directly in the chat interface without navigation
-- ✅ **Export Capabilities**: Supports PNG, SVG code, and Markdown source export
-- ✅ **Customizable Configuration**: Configurable LLM model, minimum text length, and other parameters
-- ✅ **Image Output Mode**: Generate static SVG images embedded directly in Markdown (**No HTML code output**, cleaner chat history)
+1. **Install**: Upload the `smart_mind_map.py` file in OpenWebUI Admin Settings -> Plugins -> Actions.
+2. **Configure**: Ensure you have an LLM model configured (e.g., `gemini-2.5-flash`).
+3. **Trigger**: Enable the "Smart Mind Map" action in chat settings and send text (at least 100 characters).
+4. **Result**: The mind map will be rendered directly in the chat interface.
 
----
-
-## How It Works
-
-1. **Text Extraction**: Extracts text content from user messages (automatically filters HTML code blocks)
-2. **Intelligent Analysis**: Analyzes text structure using the configured LLM model
-3. **Markdown Generation**: Converts analysis results to Markmap-compatible Markdown format
-4. **Visual Rendering**: Renders the mind map using Markmap.js in an HTML template with optimized font hierarchy (H1: 22px bold, H2: 18px bold)
-5. **Interactive Display**: Presents the mind map to users in an interactive format with complete control panel
-6. **Theme Detection**: Automatically detects and applies the current OpenWebUI theme (light/dark mode)
-7. **Export Options**: Provides PNG (high-resolution), SVG, and Markdown export functionality
-
----
-
-## Installation and Configuration
-
-### 1. Plugin Installation
-
-1. Download the `smart_mind_map_cn.py` file to your local computer
-2. In OpenWebUI Admin Settings, find the "Plugins" section
-3. Select "Actions" type
-4. Upload the downloaded file
-5. Refresh the page, and the plugin will be available
-
-### 2. Model Configuration
-
-The plugin requires access to an LLM model for text analysis. Please ensure:
-
-- Your OpenWebUI instance has at least one available LLM model configured
-- Recommended to use fast, economical models (e.g., `gemini-2.5-flash`) for the best experience
-- Configure the `LLM_MODEL_ID` parameter in the plugin settings
-
-### 3. Plugin Activation
-
-Select the "Smart Mind Map" action plugin in chat settings to enable it.
-
-### 4. Theme Color Consistency (Optional)
-
-To keep the mind map visually consistent with the OpenWebUI theme colors, enable same-origin access for artifacts in OpenWebUI:
-
-- **Configuration Location**: In OpenWebUI User Settings: **Interface** → **Artifacts** → **iframe Sandbox Allow Same Origin**
-- **Enable Option**: Check the "Allow same-origin access for artifacts" / "iframe sandbox allow-same-origin" option
-- **Sandbox Attributes**: Ensure the iframe's sandbox attribute includes both `allow-same-origin` and `allow-scripts`
-
-Once enabled, the mind map will automatically detect and apply the current OpenWebUI theme (light/dark) without any manual configuration.
-
----
-
-## Configuration Parameters
-
-You can adjust the following parameters in the plugin's settings (Valves):
+## Configuration (Valves) ⚙️
 
 | Parameter | Default | Description |
 | :--- | :--- | :--- |
-| `show_status` | `true` | Whether to display operation status updates in the chat interface (e.g., "Analyzing..."). |
-| `LLM_MODEL_ID` | `gemini-2.5-flash` | LLM model ID for text analysis. Recommended to use fast and economical models. |
-| `MIN_TEXT_LENGTH` | `100` | Minimum text length (in characters) required for mind map analysis. Text that's too short cannot generate valid mind maps. |
-| `CLEAR_PREVIOUS_HTML` | `false` | Whether to clear previous plugin-generated HTML content when generating a new mind map. |
-| `MESSAGE_COUNT` | `1` | Number of recent messages to use for mind map generation (1-5). |
-| `OUTPUT_MODE` | `html` | Output mode: `html` for interactive HTML (default), or `image` to embed as static Markdown image. |
+| `show_status` | `true` | Whether to display operation status updates. |
+| `LLM_MODEL_ID` | `gemini-2.5-flash` | LLM model ID for text analysis. |
+| `MIN_TEXT_LENGTH` | `100` | Minimum text length required for analysis. |
+| `CLEAR_PREVIOUS_HTML` | `false` | Whether to clear previous plugin-generated HTML content. |
+| `MESSAGE_COUNT` | `1` | Number of recent messages to use for generation (1-5). |
+| `OUTPUT_MODE` | `html` | Output mode: `html` (interactive) or `image` (static). |
 
----
+## ⭐ Support
 
-## Usage
+If this plugin has been useful, a star on [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) is a big motivation for me. Thank you for the support.
 
-### Basic Usage
+## Troubleshooting ❓
 
-1. Enable the "Smart Mind Map" action in chat settings
-2. Input or paste long-form text content (at least 100 characters) in the conversation
-3. After sending the message, the plugin will automatically analyze and generate a mind map
-4. The mind map will be rendered directly in the chat interface
-
-### Usage Example
-
-**Input Text:**
-
-```
-Artificial Intelligence (AI) is a branch of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence.
-Main application areas include:
-1. Machine Learning - Enables computers to learn from data
-2. Natural Language Processing - Understanding and generating human language
-3. Computer Vision - Recognizing and processing images
-4. Robotics - Creating intelligent systems that can interact with the physical world
-```
-
-**Generated Result:**
-The plugin will generate an interactive mind map centered on "Artificial Intelligence", including major application areas and their sub-concepts.
-
-### Export Features
-
-Generated mind maps support three export methods:
-
-1. **Download PNG**: Click the "📥 Download PNG" button to export the mind map as a high-resolution PNG image (9x scale, ~1-2MB file size)
-2. **Copy SVG Code**: Click the "Copy SVG Code" button to copy the mind map in SVG format to the clipboard
-3. **Copy Markdown**: Click the "Copy Markdown" button to copy the raw Markdown format to the clipboard
-
-### Control Panel
-
-The interactive mind map includes a comprehensive control panel:
-
-- **Zoom Controls**: `+` (zoom in), `-` (zoom out), `↻` (reset view)
-- **Expand Level**: Switch between "All", "2 Levels", "3 Levels" to control node expansion depth
-- **Fullscreen**: Enter fullscreen mode for better viewing experience
-- **Theme Toggle**: Manually switch between light and dark themes
+- **Plugin not working?**: Check if the action is enabled in the chat settings.
+- **Text too short**: Ensure input text contains at least 100 characters.
+- **Rendering failed**: Check browser console for errors related to Markmap.js or D3.js.
+- **Submit an Issue**: If you encounter any problems, please submit an issue on GitHub: [Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
 
 ---
 
 ## Technical Architecture
 
-### Frontend Rendering
-
-- **Markmap.js**: Open-source mind mapping rendering engine
-- **D3.js**: Data visualization foundation library
-- **Responsive Design**: Adapts to different screen sizes
-- **Font Hierarchy**: Optimized typography with H1 (22px bold) and H2 (18px bold) for better readability
-
-### PNG Export Technology
-
-- **SVG to Canvas Conversion**: Converts mind map SVG to canvas for PNG export
-- **ForeignObject Handling**: Properly processes HTML content within SVG elements
-- **High Resolution**: 9x scale factor for print-quality output (~1-2MB file size)
-- **Theme Preservation**: Maintains current theme (light/dark) in exported PNG
-
-### Theme Detection Mechanism
-
-Automatically detects and applies themes with a 4-level priority:
-
-1. **Explicit Toggle**: User manually clicks theme toggle button (highest priority)
-2. **Meta Tag**: Reads `<meta name="theme-color">` from parent document
-3. **Class/Data-Theme**: Checks `class` or `data-theme` attributes on parent HTML/body
-4. **System Preference**: Falls back to `prefers-color-scheme` media query
-
-### Backend Processing
-
-- **LLM Integration**: Calls configured models via `generate_chat_completion`
-- **Text Preprocessing**: Automatically filters HTML code blocks, extracts plain text content
-- **Format Conversion**: Converts LLM output to Markmap-compatible Markdown format
-
-### Security Enhancements
-
-- **XSS Protection**: Automatically escapes `</script>` tags to prevent script injection
-- **Input Validation**: Checks text length to avoid invalid requests
-- **Non-Bubbling Events**: Button clicks use `stopPropagation()` to prevent navigation interception
-
----
-
-## Troubleshooting
-
-### Issue: Plugin Won't Start
-
-**Solution:**
-
-- Check OpenWebUI logs for error messages
-- Confirm the plugin is correctly uploaded and enabled
-- Verify OpenWebUI version supports action plugins
-
-### Issue: Text Content Too Short
-
-**Symptom:** Prompt shows "Text content is too short for effective analysis"
-
-**Solution:**
-
-- Ensure input text contains at least 100 characters (default configuration)
-- Lower the `MIN_TEXT_LENGTH` parameter value in plugin settings
-- Provide more detailed, structured text content
-
-### Issue: Mind Map Not Generated
-
-**Solution:**
-
-- Check if `LLM_MODEL_ID` is configured correctly
-- Confirm the configured model is available in OpenWebUI
-- Review backend logs for LLM call failures
-- Verify user has sufficient permissions to access the configured model
-
-### Issue: Mind Map Display Error
-
-**Symptom:** Shows "⚠️ Mind map rendering failed"
-
-**Solution:**
-
-- Check browser console for error messages
-- Confirm Markmap.js and D3.js libraries are loading correctly
-- Verify generated Markdown format conforms to Markmap specifications
-- Try refreshing the page to re-render
-
-### Issue: PNG Export Not Working
-
-**Symptom:** PNG download button doesn't work or produces blank/corrupted images
-
-**Solution:**
-
-- Ensure browser supports HTML5 Canvas API (all modern browsers do)
-- Check browser console for errors related to `toDataURL()` or canvas rendering
-- Verify the mind map is fully rendered before clicking export
-- Try refreshing the page and re-generating the mind map
-- Use Chrome or Firefox for best PNG export compatibility
-
-### Issue: Theme Not Auto-Detected
-
-**Symptom:** Mind map doesn't match OpenWebUI theme colors
-
-**Solution:**
-
-- Enable "iframe Sandbox Allow Same Origin" in OpenWebUI Settings → Interface → Artifacts
-- Verify the iframe's sandbox attribute includes both `allow-same-origin` and `allow-scripts`
-- Ensure parent document has `<meta name="theme-color">` tag or theme class/attribute
-- Use the manual theme toggle button to override automatic detection
-- Check browser console for cross-origin errors
-
-### Issue: Export Function Not Working
-
-**Solution:**
-
-- Confirm browser supports Clipboard API
-- Check if browser is blocking clipboard access permissions
-- Use modern browsers (Chrome, Firefox, Edge, etc.)
-
----
+- **Markmap.js**: Open-source mind mapping rendering engine.
+- **PNG Export**: 9x scale factor for print-quality output (~1-2MB file size).
+- **Theme Detection**: 4-level priority detection (Manual > Meta > Class > System).
+- **Security**: XSS protection and input validation.
 
 ## Best Practices
 
-1. **Text Preparation**
-   - Provide text content with clear structure and distinct hierarchies
-   - Use paragraphs, lists, and other formatting to help LLM understand text structure
-   - Avoid excessively lengthy or unstructured text
-
-2. **Model Selection**
-   - For daily use, recommend fast models like `gemini-2.5-flash`
-   - For complex text analysis, use more powerful models (e.g., GPT-4)
-   - Balance speed and analysis quality based on needs
-
-3. **Performance Optimization**
-   - Set `MIN_TEXT_LENGTH` appropriately to avoid processing text that's too short
-   - For particularly long texts, consider summarizing before generating mind maps
-   - Disable `show_status` in production environments to reduce interface updates
-
-4. **Export Quality**
-   - **PNG Export**: Best for presentations, documents, and sharing (9x resolution suitable for printing)
-   - **SVG Export**: Best for further editing in vector graphics tools (infinite scalability)
-   - **Markdown Export**: Best for version control, collaboration, and regeneration
-
-5. **Theme Consistency**
-   - Enable same-origin access for automatic theme detection
-   - Use manual theme toggle if automatic detection fails
-   - Export PNG after switching to desired theme for consistent visuals
-
----
-
-## Requirements
-
-This plugin uses only OpenWebUI's built-in dependencies. **No additional packages need to be installed.**
-
----
+1. **Text Preparation**: Provide text with clear structure and distinct hierarchies.
+2. **Model Selection**: Use fast models like `gemini-2.5-flash` for daily use.
+3. **Export Quality**: Use PNG for presentations and SVG for further editing.
 
 ## Changelog
 
-### v0.9.1
-
-**New Feature: Image Output Mode**
-
-- Added `OUTPUT_MODE` configuration parameter with two options:
-  - `html` (default): Interactive HTML mind map with full control panel
-  - `image`: Static SVG image embedded directly in Markdown (uploaded to `/api/v1/files`)
-- Image mode features:
-  - Auto-responsive width (adapts to chat container)
-  - Automatic theme detection (light/dark)
-  - Persistent storage via Chat API (survives page refresh)
-  - Efficient file storage (no huge base64 strings in chat history)
-
-**Improvements:**
-
-- Implemented robust Chat API update mechanism with retry logic
-- Fixed message persistence using both `messages[]` and `history.messages`
-- Added Event API for immediate frontend updates
-- Removed unnecessary `SVG_WIDTH` and `SVG_HEIGHT` parameters (now auto-calculated)
-
-**Technical Details:**
-
-- Image mode uses `__event_call__` to execute JavaScript in the browser
-- SVG is rendered offline, converted to Blob, and uploaded to OpenWebUI Files API
-- Updates chat message with `/api/v1/files/{id}/content` URL via OpenWebUI Backend-Controlled API flow
-
-### v0.8.2
-
-- Removed debug messages from output
-
-### v0.8.0 (Previous Version)
-
-**Major Features:**
-
-- Added high-resolution PNG export (9x scale, ~1-2MB file size)
-- Implemented complete control panel with zoom controls (+/-/reset)
-- Added expand level selection (All/2/3 levels)
-- Integrated fullscreen mode with auto-fit
-- Added manual theme toggle button (light/dark)
-- Implemented automatic theme detection with 4-level priority
-
-**Improvements:**
-
-- Optimized font hierarchy (H1: 22px bold, H2: 18px bold)
-- Enhanced dark mode with full theme support
-- Improved PNG export technology (SVG to Canvas with foreignObject handling)
-- Added theme preservation in exported PNG images
-- Enhanced security with non-bubbling button events
-
-**Bug Fixes:**
-
-- Fixed theme detection in cross-origin iframes
-- Resolved PNG export issues with HTML content in SVG
-- Improved compatibility with OpenWebUI theme system
-
-### v0.7.2
-
-- Optimized text extraction logic, automatically filters HTML code blocks
-- Improved error handling and user feedback
-- Enhanced export functionality compatibility
-- Optimized UI styling and interactive experience
-
----
-
-## License
-
-This plugin is released under the MIT License.
-
-## Contributing
-
-Welcome to submit issue reports and improvement suggestions! Please visit the project repository: [awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
----
-
-## Related Resources
-
-- [Markmap Official Website](https://markmap.js.org/)
-- [OpenWebUI Documentation](https://docs.openwebui.com/)
-- [D3.js Official Website](https://d3js.org/)
+See the full history on GitHub: [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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

@@ -1,379 +1,69 @@
 # 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
-
-> **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。
-
 思维导图是一个强大的 OpenWebUI 动作插件，能够智能分析长篇文本内容，自动生成交互式思维导图，帮助用户结构化和可视化知识。
 
----
+**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.9.2 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
 
-## 🔥 v0.9.1 更新亮点
+## v0.9.2 更新亮点
 
-**新功能：图片输出模式**
+**语言规则对齐**
 
-- **静态图片支持**：新增 `OUTPUT_MODE` 配置参数。
-  - `html`（默认）：交互式 HTML 思维导图。
-  - `image`：静态 SVG 图片直接嵌入 Markdown（**不输出 HTML 代码**，聊天记录更简洁）。
-- **高效存储**：图片模式将 SVG 上传至 `/api/v1/files`，避免聊天记录中出现超长 Base64 字符串。
-- **智能特性**：生成的图片支持自动响应式宽度和自动主题检测（亮色/暗色）。
+- **输入语言优先**：导图输出严格与输入文本语言一致。
+- **一致性提升**：与信息图语言规则保持一致，多语言输出更可预期。
 
-| 特性 | HTML 模式 (默认) | 图片模式 |
-| :--- | :--- | :--- |
-| **输出格式** | 交互式 HTML 代码块 | 静态 Markdown 图片 |
-| **交互性** | 缩放、拖拽、展开/折叠 | 无 (静态图片) |
-| **聊天记录** | 包含 HTML 代码 | 简洁 (仅图片链接) |
-| **存储方式** | 浏览器实时渲染 | `/api/v1/files` 上传 |
+## 核心特性 🔑
 
----
+- ✅ **智能文本分析**：自动识别文本的核心主题、关键概念和层次结构。
+- ✅ **交互式可视化**：基于 Markmap.js 生成美观的交互式思维导图。
+- ✅ **高分辨率 PNG 导出**：导出高质量的 PNG 图片（9 倍分辨率）。
+- ✅ **完整控制面板**：缩放控制、展开层级选择、全屏模式。
+- ✅ **主题切换**：手动主题切换按钮与自动主题检测。
+- ✅ **图片输出模式**：生成静态 SVG 图片直接嵌入 Markdown，聊天记录更简洁。
 
-## 核心特性
+## 使用方法 🛠️
 
-- ✅ **智能文本分析**：自动识别文本的核心主题、关键概念和层次结构
-- ✅ **交互式可视化**：基于 Markmap.js 生成美观的交互式思维导图
-- ✅ **高分辨率 PNG 导出**：导出高质量的 PNG 图片（9 倍分辨率，约 1-2MB 文件大小）
-- ✅ **完整控制面板**：缩放控制（+/-/重置）、展开层级选择（全部/2级/3级）、全屏模式
-- ✅ **主题切换**：手动主题切换按钮（亮色/暗色）与自动主题检测
-- ✅ **深色模式支持**：完整的深色模式支持，自动检测与手动覆盖
-- ✅ **多语言支持**：根据用户语言自动调整输出
-- ✅ **实时渲染**：在聊天界面中直接渲染思维导图，无需跳转
-- ✅ **导出功能**：支持 PNG、SVG 代码和 Markdown 源码导出
-- ✅ **自定义配置**：可配置 LLM 模型、最小文本长度等参数
-- ✅ **图片输出模式**：生成静态 SVG 图片直接嵌入 Markdown（**不输出 HTML 代码**，聊天记录更简洁）
+1. **安装**: 在 OpenWebUI 管理员设置 -> 插件 -> 动作中上传 `smart_mind_map_cn.py`。
+2. **配置**: 确保配置了 LLM 模型（如 `gemini-2.5-flash`）。
+3. **触发**: 在聊天设置中启用“思维导图”动作，并发送文本（至少 100 字符）。
+4. **结果**: 思维导图将在聊天界面中直接渲染显示。
 
----
-
-## 工作原理
-
-1. **文本提取**：从用户消息中提取文本内容（自动过滤 HTML 代码块）
-2. **智能分析**：使用配置的 LLM 模型分析文本结构
-3. **Markdown 生成**：将分析结果转换为 Markmap 兼容的 Markdown 格式
-4. **可视化渲染**：在 HTML 模板中使用 Markmap.js 渲染思维导图，并优化字体层级（H1：22px 粗体，H2：18px 粗体）
-5. **交互展示**：以可交互的形式展示给用户，并提供完整的控制面板
-6. **主题检测**：自动检测并应用当前 OpenWebUI 的主题（亮色/暗色模式）
-7. **导出选项**：提供 PNG（高分辨率）、SVG 和 Markdown 导出功能
-
----
-
-## 安装与配置
-
-### 1. 插件安装
-
-1. 下载 `smart_mind_map_cn.py` 文件到本地
-2. 在 OpenWebUI 管理员设置中找到"插件"（Plugins）部分
-3. 选择"动作"（Actions）类型
-4. 上传下载的文件
-5. 刷新页面，插件即可使用
-
-### 2. 模型配置
-
-插件需要访问 LLM 模型来分析文本。请确保：
-
-- 您的 OpenWebUI 实例中配置了至少一个可用的 LLM 模型
-- 推荐使用快速、经济的模型（如 `gemini-2.5-flash`）来获得最佳体验
-- 在插件设置中配置 `LLM_MODEL_ID` 参数
-
-### 3. 插件启用
-
-在聊天设置中选择"思维导图"动作插件即可启用。
-
-### 4. 主题颜色风格一致性（可选）
-
-为了使思维导图与 OpenWebUI 主题颜色风格保持一致，需要在 OpenWebUI 中启用 artifact 的同源访问：
-
-- **配置位置**：在 OpenWebUI 用户设置中找到"界面"→"产物"部分（Settings → Interface → Products/Artifacts）
-- **启用选项**：勾选 "iframe 沙盒允许同源访问"（Allow same-origin access for artifacts / iframe sandbox allow-same-origin）
-- **沙箱属性**：确保 iframe 的 sandbox 属性包含 `allow-same-origin` 和 `allow-scripts`
-
-启用后，思维导图会自动检测并应用 OpenWebUI 的当前主题（亮色/暗色），无需手动配置。
-
----
-
-## 配置参数
-
-您可以在插件的设置（Valves）中调整以下参数：
+## 配置参数 (Valves) ⚙️
 
 | 参数 | 默认值 | 描述 |
 | :--- | :--- | :--- |
-| `show_status` | `true` | 是否在聊天界面显示操作状态更新（如"正在分析..."）。 |
-| `LLM_MODEL_ID` | `gemini-2.5-flash` | 用于文本分析的 LLM 模型 ID。推荐使用快速且经济的模型。 |
-| `MIN_TEXT_LENGTH` | `100` | 进行思维导图分析所需的最小文本长度（字符数）。文本过短将无法生成有效的导图。 |
-| `CLEAR_PREVIOUS_HTML` | `false` | 在生成新的思维导图时，是否清除之前由插件生成的 HTML 内容。 |
+| `show_status` | `true` | 是否在聊天界面显示操作状态更新。 |
+| `LLM_MODEL_ID` | `gemini-2.5-flash` | 用于文本分析的 LLM 模型 ID。 |
+| `MIN_TEXT_LENGTH` | `100` | 进行思维导图分析所需的最小文本长度。 |
+| `CLEAR_PREVIOUS_HTML` | `false` | 在生成新的思维导图时，是否清除之前的 HTML 内容。 |
 | `MESSAGE_COUNT` | `1` | 用于生成思维导图的最近消息数量（1-5）。 |
-| `OUTPUT_MODE` | `html` | 输出模式：`html` 为交互式 HTML（默认），`image` 为嵌入静态 Markdown 图片。 |
+| `OUTPUT_MODE` | `html` | 输出模式：`html`（交互式）或 `image`（静态图片）。 |
 
----
+## ⭐ 支持
 
-## 使用方法
+如果这个插件对你有帮助，欢迎到 [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) 点个 Star，这将是我持续改进的动力，感谢支持。
 
-### 基本使用
+## 故障排除 (Troubleshooting) ❓
 
-1. 在聊天设置中启用"思维导图"动作
-2. 在对话中输入或粘贴长篇文本内容（至少 100 字符）
-3. 发送消息后，插件会自动分析并生成思维导图
-4. 思维导图将在聊天界面中直接渲染显示
-
-### 使用示例
-
-**输入文本：**
-
-```
-人工智能（AI）是计算机科学的一个分支，致力于创建能够执行通常需要人类智能的任务的系统。
-主要应用领域包括：
-1. 机器学习 - 使计算机能够从数据中学习
-2. 自然语言处理 - 理解和生成人类语言
-3. 计算机视觉 - 识别和处理图像
-4. 机器人技术 - 创建能够与物理世界交互的智能系统
-```
-
-**生成结果：**
-插件会生成一个以"人工智能"为中心主题的交互式思维导图，包含主要应用领域及其子概念。
-
-### 导出功能
-
-生成的思维导图支持三种导出方式：
-
-1. **下载 PNG**：点击“📥 下载 PNG”按钮，可将思维导图导出为高分辨率 PNG 图片（9 倍分辨率，约 1-2MB 文件大小）
-2. **复制 SVG 代码**：点击“复制 SVG 代码”按钮，可将思维导图的 SVG 格式复制到剪贴板
-3. **复制 Markdown**：点击“复制 Markdown”按钮，可将原始 Markdown 格式复制到剪贴板
-
-### 控制面板
-
-交互式思维导图包含完整的控制面板：
-
-- **缩放控制**：`+`（放大）、`-`（缩小）、`↻`（重置视图）
-- **展开层级**：在“全部”、“2 级”、“3 级”之间切换，控制节点展开深度
-- **全屏模式**：进入全屏模式，获得更好的查看体验
-- **主题切换**：手动在亮色和暗色主题之间切换
+- **插件无法启动**：检查 OpenWebUI 日志，确认插件已正确上传并启用。
+- **文本内容过短**：确保输入的文本至少包含 100 个字符。
+- **渲染失败**：检查浏览器控制台，确认 Markmap.js 和 D3.js 库是否正确加载。
+- **提交 Issue**: 如果遇到任何问题，请在 GitHub 上提交 Issue：[Awesome OpenWebUI Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
 
 ---
 
 ## 技术架构
 
-### 前端渲染
-
-- **Markmap.js**：开源的思维导图渲染引擎
-- **D3.js**：数据可视化基础库
-- **响应式设计**：适配不同屏幕尺寸
-- **字体层级**：优化的字体排版，H1（22px 粗体）和 H2（18px 粗体），提供更好的可读性
-
-### PNG 导出技术
-
-- **SVG 转 Canvas**：将思维导图 SVG 转换为 Canvas 以导出 PNG
-- **ForeignObject 处理**：正确处理 SVG 元素中的 HTML 内容
-- **高分辨率**：9 倍缩放因子，输出打印级质量（约 1-2MB 文件大小）
-- **主题保持**：在导出的 PNG 中保持当前主题（亮色/暗色）
-
-### 主题检测机制
-
-自动检测并应用主题，具有 4 级优先级：
-
-1. **显式切换**：用户手动点击主题切换按钮（最高优先级）
-2. **Meta 标签**：从父文档读取 `<meta name="theme-color">`
-3. **Class/Data-Theme**：检查父文档 HTML/body 的 `class` 或 `data-theme` 属性
-4. **系统偏好**：回退到 `prefers-color-scheme` 媒体查询
-
-### 后端处理
-
-- **LLM 集成**：通过 `generate_chat_completion` 调用配置的模型
-- **文本预处理**：自动过滤 HTML 代码块，提取纯文本内容
-- **格式转换**：将 LLM 输出转换为 Markmap 兼容的 Markdown 格式
-
-### 安全性增强
-
-- **XSS 防护**：自动转义 `</script>` 标签，防止脚本注入
-- **输入验证**：检查文本长度，避免无效请求
-- **非冒泡事件**：按钮点击使用 `stopPropagation()` 防止导航拦截
-
----
-
-## 故障排除
-
-### 问题：插件无法启动
-
-**解决方案：**
-
-- 检查 OpenWebUI 日志，查看是否有错误信息
-- 确认插件已正确上传并启用
-- 验证 OpenWebUI 版本是否支持动作插件
-
-### 问题：文本内容过短
-
-**现象：** 提示"文本内容过短，无法进行有效分析"
-
-**解决方案：**
-
-- 确保输入的文本至少包含 100 个字符（默认配置）
-- 可以在插件设置中降低 `MIN_TEXT_LENGTH` 参数值
-- 提供更详细、结构化的文本内容
-
-### 问题：思维导图未生成
-
-**解决方案：**
-
-- 检查 `LLM_MODEL_ID` 是否配置正确
-- 确认配置的模型在 OpenWebUI 中可用
-- 查看后端日志，检查是否有 LLM 调用失败的错误
-- 验证用户是否有足够的权限访问配置的模型
-
-### 问题：思维导图显示错误
-
-**现象：** 显示"⚠️ 思维导图渲染失败"
-
-**解决方案：**
-
-- 检查浏览器控制台的错误信息
-- 确认 Markmap.js 和 D3.js 库是否正确加载
-- 验证生成的 Markdown 格式是否符合 Markmap 规范
-- 尝试刷新页面重新渲染
-
-### 问题：PNG 导出不工作
-
-**现象：**PNG 下载按钮不工作或生成空白/损坏的图片
-
-**解决方案：**
-
-- 确保浏览器支持 HTML5 Canvas API（所有现代浏览器都支持）
-- 检查浏览器控制台是否有与 `toDataURL()` 或 Canvas 渲染相关的错误
-- 确保思维导图在点击导出前已完全渲染
-- 尝试刷新页面并重新生成思维导图
-- 使用 Chrome 或 Firefox，获得最佳 PNG 导出兼容性
-
-### 问题：主题未自动检测
-
-**现象：**思维导图不匹配 OpenWebUI 主题颜色
-
-**解决方案：**
-
-- 在 OpenWebUI 设置 → 界面 → 产物中，启用“iframe 沙盒允许同源访问”
-- 验证 iframe 的 sandbox 属性包含 `allow-same-origin` 和 `allow-scripts`
-- 确保父文档有 `<meta name="theme-color">` 标签或主题 class/属性
-- 使用手动主题切换按钮覆盖自动检测
-- 检查浏览器控制台是否有跨域错误
-
-### 问题：导出功能不工作
-
-**解决方案：**
-
-- 确认浏览器支持剪贴板 API
-- 检查浏览器是否阻止了剪贴板访问权限
-- 使用现代浏览器（Chrome、Firefox、Edge 等）
-
----
+- **Markmap.js**：开源的思维导图渲染引擎。
+- **PNG 导出技术**：9 倍缩放因子，输出打印级质量。
+- **主题检测机制**：4 级优先级检测（手动 > Meta > Class > 系统）。
+- **安全性增强**：XSS 防护与输入验证。
 
 ## 最佳实践
 
-1. **文本准备**
-   - 提供结构清晰、层次分明的文本内容
-   - 使用段落、列表等格式帮助 LLM 理解文本结构
-   - 避免过于冗长或无结构的文本
-
-2. **模型选择**
-   - 对于日常使用，推荐 `gemini-2.5-flash` 等快速模型
-   - 对于复杂文本分析，可以使用更强大的模型（如 GPT-4）
-   - 根据需求平衡速度和分析质量
-
-3. **性能优化**
-   - 合理设置 `MIN_TEXT_LENGTH`，避免处理过短的文本
-   - 对于特别长的文本，考虑先进行摘要再生成思维导图
-   - 在生产环境中关闭 `show_status` 以减少界面更新
-
-4. **导出质量**
-   - **PNG 导出**：最适合演示、文档和分享（9 倍分辨率适合打印）
-   - **SVG 导出**：最适合在矢量图形工具中进一步编辑（无限缩放）
-   - **Markdown 导出**：最适合版本控制、协作和重新生成
-
-5. **主题一致性**
-   - 启用同源访问以实现自动主题检测
-   - 如果自动检测失败，使用手动主题切换
-   - 在切换到所需主题后导出 PNG，以保持视觉一致性
-
----
-
-## 依赖要求
-
-本插件仅使用 OpenWebUI 的内置依赖，**无需安装额外的软件包。**
-
----
+1. **文本准备**：提供结构清晰、层次分明的文本内容。
+2. **模型选择**：日常使用推荐 `gemini-2.5-flash` 等快速模型。
+3. **导出质量**：PNG 适合演示分享，SVG 适合进一步矢量编辑。
 
 ## 更新日志
 
-### v0.9.1
-
-**新功能：图片输出模式**
-
-- 新增 `OUTPUT_MODE` 配置参数，支持两种模式：
-  - `html`（默认）：交互式 HTML 思维导图，带完整控制面板
-  - `image`：静态 SVG 图片直接嵌入 Markdown（上传至 `/api/v1/files`）
-- 图片模式特性：
-  - 自动响应式宽度（适应聊天容器）
-  - 自动主题检测（亮色/暗色）
-  - 通过 Chat API 持久化存储（刷新页面后保留）
-  - 高效文件存储（聊天记录中无超长 Base64 字符串）
-
-**改进项：**
-
-- 实现健壮的 Chat API 更新机制，带重试逻辑
-- 修复消息持久化，同时更新 `messages[]` 和 `history.messages`
-- 添加 Event API 实现即时前端更新
-- 移除不必要的 `SVG_WIDTH` 和 `SVG_HEIGHT` 参数（现已自动计算）
-
-**技术细节：**
-
-- 图片模式使用 `__event_call__` 在浏览器中执行 JavaScript
-- SVG 离屏渲染，转换为 Blob，并上传至 OpenWebUI Files API
-- 通过 OpenWebUI Backend-Controlled API 流程更新聊天消息为 `/api/v1/files/{id}/content` URL
-
-### v0.8.2
-
-- 移除输出中的调试信息
-
-### v0.8.0 (Previous Version)
-
-**主要功能：**
-
-- 添加高分辨率 PNG 导出（9 倍分辨率，约 1-2MB 文件大小）
-- 实现完整的控制面板，包含缩放控制（+/-/重置）
-- 添加展开层级选择（全部/2级/3级）
-- 集成全屏模式，自动适应
-- 添加手动主题切换按钮（亮色/暗色）
-- 实现 4 级优先级的自动主题检测
-
-**改进项：**
-
-- 优化字体层级（H1：22px 粗体，H2：18px 粗体）
-- 增强深色模式，完整的主题支持
-- 改进 PNG 导出技术（SVG 转 Canvas，处理 foreignObject）
-- 在导出的 PNG 图片中保持主题
-- 增强安全性，按钮事件使用非冒泡机制
-
-**Bug 修复：**
-
-- 修复跨域 iframe 中的主题检测问题
-- 解决 SVG 中 HTML 内容的 PNG 导出问题
-- 改进与 OpenWebUI 主题系统的兼容性
-
-### v0.7.2
-
-- 优化文本提取逻辑，自动过滤 HTML 代码块
-- 改进错误处理和用户反馈
-- 增强导出功能的兼容性
-- 优化 UI 样式和交互体验
-
----
-
-## 许可证
-
-本插件采用 MIT 许可证发布。
-
-## 贡献
-
-欢迎提交问题报告和改进建议！请访问项目仓库：[awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
----
-
-## 相关资源
-
-- [Markmap 官方网站](https://markmap.js.org/)
-- [OpenWebUI 文档](https://docs.openwebui.com/)
-- [D3.js 官方网站](https://d3js.org/)
+完整历史请查看 GitHub 项目： [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui)

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

@@ -1,9 +1,10 @@
 """
 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
+version: 0.9.2
 openwebui_id: 3094c59a-b4dd-4e0c-9449-15e2dd547dc4
 icon_url: data:image/svg+xml;base64,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
 description: Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.
@@ -32,7 +33,8 @@ SYSTEM_PROMPT_MINDMAP_ASSISTANT = """
 You are a professional mind map generation assistant, capable of efficiently analyzing long-form text provided by users and structuring its core themes, key concepts, branches, and sub-branches into standard Markdown list syntax for rendering by Markmap.js.
 
 Please strictly follow these guidelines:
--   **Language**: All output must be in the language specified by the user.
+-   **Language**: All output must be in the exact same language as the input text (the text you are analyzing).
+-   **Format Consistency**: Even if this system prompt is in English, if the user input is in Chinese, the mind map content must be in Chinese. If input is Japanese, output Japanese.
 -   **Format**: Your output must strictly be in Markdown list format, wrapped with ```markdown and ```.
     -   Use `#` to define the central theme (root node).
     -   Use `-` with two-space indentation to represent branches and sub-branches.
@@ -49,6 +51,8 @@ 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 +795,10 @@ 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()
@@ -804,7 +812,11 @@ class Action:
             "Sunday": "Sunday",
         }
 
-    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+    async def _get_user_context(
+        self,
+        __user__: Optional[Dict[str, Any]],
+        __event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
+    ) -> Dict[str, str]:
         """Extract basic user context with safe fallbacks."""
         if isinstance(__user__, (list, tuple)):
             user_data = __user__[0] if __user__ else {}
@@ -813,51 +825,69 @@ class Action:
         else:
             user_data = {}
 
+        user_id = user_data.get("id", "unknown_user")
+        user_name = user_data.get("name", "User")
+        user_language = user_data.get("language", "en-US")
+
+        if __event_call__:
+            try:
+                js_code = """
+                    return (
+                        localStorage.getItem('locale') || 
+                        localStorage.getItem('language') || 
+                        navigator.language || 
+                        'en-US'
+                    );
+                """
+                frontend_lang = await __event_call__(
+                    {"type": "execute", "data": {"code": js_code}}
+                )
+                if frontend_lang and isinstance(frontend_lang, str):
+                    user_language = frontend_lang
+            except Exception as e:
+                logger.warning(f"Failed to retrieve frontend language: {e}")
+
         return {
-            "user_id": user_data.get("id", "unknown_user"),
-            "user_name": user_data.get("name", "User"),
-            "user_language": user_data.get("language", "en-US"),
+            "user_id": user_id,
+            "user_name": user_name,
+            "user_language": user_language,
         }
 
-    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 +914,42 @@ 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]*?```"
@@ -1330,8 +1396,8 @@ class Action:
         __metadata__: Optional[dict] = None,
         __request__: Optional[Request] = None,
     ) -> Optional[dict]:
-        logger.info("Action: Smart Mind Map (v0.9.1) started")
-        user_ctx = self._get_user_context(__user__)
+        logger.info("Action: Smart Mind Map (v0.9.2) started")
+        user_ctx = await self._get_user_context(__user__, __event_call__)
         user_language = user_ctx["user_language"]
         user_name = user_ctx["user_name"]
         user_id = user_ctx["user_id"]
@@ -1515,8 +1581,9 @@ 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

@@ -1,9 +1,9 @@
 """
 title: 思维导图
 author: Fu-Jie
-author_url: https://github.com/Fu-Jie
-funding_url: https://github.com/Fu-Jie/awesome-openwebui
-version: 0.9.1
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 0.9.2
 openwebui_id: 8d4b097b-219b-4dd2-b509-05fbe6388335
 icon_url: data:image/svg+xml;base64,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
 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。
@@ -32,7 +32,8 @@ SYSTEM_PROMPT_MINDMAP_ASSISTANT = """
 你是一个专业的思维导图生成助手,能够高效地分析用户提供的长篇文本,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,以便Markmap.js进行渲染。
 
 请严格遵循以下指导原则:
--   **语言**: 所有输出必须使用用户指定的语言。
+-   **语言**: 所有输出必须与输入文本(正在分析的文本)保持完全一致的语言。
+-   **格式一致性**: 即使系统提示词是中文,只要用户输入是英文,导图内容必须是英文;若输入为日文,则输出日文。
 -   **格式**: 你的输出必须严格为Markdown列表格式,并用```markdown 和 ``` 包裹。
     -   使用 `#` 定义中心主题(根节点)。
     -   使用 `-` 和两个空格的缩进表示分支和子分支。
@@ -49,6 +50,8 @@ 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 +793,10 @@ 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()
@@ -803,7 +810,11 @@ class Action:
             "Sunday": "星期日",
         }
 
-    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+    async def _get_user_context(
+        self,
+        __user__: Optional[Dict[str, Any]],
+        __event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
+    ) -> Dict[str, str]:
         """Extract basic user context with safe fallbacks."""
         if isinstance(__user__, (list, tuple)):
             user_data = __user__[0] if __user__ else {}
@@ -812,51 +823,69 @@ class Action:
         else:
             user_data = {}
 
+        user_id = user_data.get("id", "unknown_user")
+        user_name = user_data.get("name", "User")
+        user_language = user_data.get("language", "en-US")
+
+        if __event_call__:
+            try:
+                js_code = """
+                    return (
+                        localStorage.getItem('locale') || 
+                        localStorage.getItem('language') || 
+                        navigator.language || 
+                        'en-US'
+                    );
+                """
+                frontend_lang = await __event_call__(
+                    {"type": "execute", "data": {"code": js_code}}
+                )
+                if frontend_lang and isinstance(frontend_lang, str):
+                    user_language = frontend_lang
+            except Exception as e:
+                logger.warning(f"Failed to retrieve frontend language: {e}")
+
         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"),
+            "user_id": user_id,
+            "user_name": user_name,
+            "user_language": user_language,
         }
 
-    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 +910,24 @@ 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]*?```"
@@ -1328,8 +1375,8 @@ class Action:
         __metadata__: Optional[dict] = None,
         __request__: Optional[Request] = None,
     ) -> Optional[dict]:
-        logger.info("Action: 思维导图 (v0.9.1) started")
-        user_ctx = self._get_user_context(__user__)
+        logger.info("Action: 思维导图 (v0.9.2) started")
+        user_ctx = await self._get_user_context(__user__, __event_call__)
         user_language = user_ctx["user_language"]
         user_name = user_ctx["user_name"]
         user_id = user_ctx["user_id"]
@@ -1508,8 +1555,9 @@ 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/debug/common_tools/update_readmes_to_market.py

@@ -0,0 +1,359 @@
+#!/usr/bin/env python3
+"""
+======================================================================
+Staged README Synchronizer to OpenWebUI Community
+暂存 README 文件同步到 OpenWebUI 社区工具
+======================================================================
+
+PURPOSE / 用途:
+--------------
+This script synchronizes staged README.md/README_CN.md files to their
+corresponding OpenWebUI Community posts automatically. It's designed for
+batch updating documentation content without modifying plugin versions
+or media attachments.
+
+本脚本自动将暂存的 README.md/README_CN.md 文件同步到对应的 OpenWebUI
+社区帖子。专为批量更新文档内容设计，不修改插件版本或媒体附件。
+
+USAGE / 使用方法:
+----------------
+1. Set up environment:
+   配置环境：
+
+   Create a .env file in the repository root with:
+   在仓库根目录创建 .env 文件，包含：
+
+   OPENWEBUI_API_KEY=your_api_key_here
+
+2. Stage README files to sync:
+   暂存需要同步的 README 文件：
+
+   git add plugins/actions/my_plugin/README.md
+   git add plugins/actions/my_plugin/README_CN.md
+
+3. Run the script:
+   运行脚本：
+
+   python plugins/debug/common_tools/update_readmes_to_market.py
+
+WORKFLOW / 工作流程:
+-------------------
+1. Load OPENWEBUI_API_KEY from .env file
+   从 .env 文件加载 OPENWEBUI_API_KEY
+
+2. Get list of staged README.md/README_CN.md files via git
+   通过 git 获取暂存的 README.md/README_CN.md 文件列表
+
+3. For each staged README:
+   对于每个暂存的 README：
+
+   a. Locate the corresponding plugin .py file
+      定位对应的插件 .py 文件
+
+   b. Extract openwebui_id/post_id from plugin frontmatter
+      从插件前置信息中提取 openwebui_id/post_id
+
+   c. Fetch existing post data from OpenWebUI Community API
+      从 OpenWebUI 社区 API 获取现有帖子数据
+
+   d. Update post content with new README content
+      用新的 README 内容更新帖子内容
+
+   e. Push changes via API (preserves version & media)
+      通过 API 推送更改（保留版本和媒体）
+
+REQUIREMENTS / 依赖要求:
+-----------------------
+- python-dotenv: For loading .env configuration
+                 用于加载 .env 配置文件
+- Git repository: Must be run from a git-tracked workspace
+                  必须在 git 跟踪的工作区中运行
+
+KEY FEATURES / 关键特性:
+-----------------------
+✅ Only updates content field (不仅更新内容字段)
+✅ Skips files without openwebui_id (跳过没有 openwebui_id 的文件)
+✅ Automatically matches CN/EN plugin files (自动匹配中英文插件文件)
+✅ Supports staged plugin source code updates (支持暂存插件源码更新)
+✅ Safe: Won't modify version or media fields (安全：不会修改版本或媒体字段)
+
+NOTES / 注意事项:
+---------------
+- This is a DEBUG/DEVELOPMENT tool, not for production workflows
+  这是一个调试/开发工具，不用于生产工作流
+
+- Always verify changes in OpenWebUI Community after sync
+  同步后务必在 OpenWebUI 社区中验证更改
+
+- Requires valid API key with update permissions
+  需要具有更新权限的有效 API 密钥
+
+AUTHOR / 作者:
+-------------
+Fu-Jie
+GitHub: https://github.com/Fu-Jie/awesome-openwebui
+
+======================================================================
+"""
+
+from __future__ import annotations
+
+import importlib.util
+import os
+import re
+import sys
+import subprocess
+from pathlib import Path
+from typing import Dict, Optional, List
+
+
+def _load_dotenv(repo_root: Path) -> None:
+    try:
+        from dotenv import load_dotenv  # type: ignore
+    except Exception as exc:  # pragma: no cover
+        print("Missing dependency: python-dotenv. Please install it and retry.")
+        raise SystemExit(1) from exc
+
+    env_path = repo_root / ".env"
+    load_dotenv(env_path)
+
+
+def _get_repo_root() -> Path:
+    return Path(__file__).resolve().parents[3]
+
+
+def _get_staged_readmes(repo_root: Path) -> List[Path]:
+    try:
+        output = subprocess.check_output(
+            [
+                "git",
+                "-C",
+                str(repo_root),
+                "diff",
+                "--cached",
+                "--name-only",
+                "--",
+                "*.md",
+            ],
+            text=True,
+        )
+    except subprocess.CalledProcessError as exc:
+        print(f"Failed to read staged files: {exc}")
+        return []
+
+    paths = []
+    for line in output.splitlines():
+        line = line.strip()
+        if not line:
+            continue
+        if line.endswith("README.md") or line.endswith("README_CN.md"):
+            paths.append(repo_root / line)
+    return paths
+
+
+def _get_staged_plugin_files(repo_root: Path) -> List[Path]:
+    try:
+        output = subprocess.check_output(
+            [
+                "git",
+                "-C",
+                str(repo_root),
+                "diff",
+                "--cached",
+                "--name-only",
+                "--",
+                "*.py",
+            ],
+            text=True,
+        )
+    except subprocess.CalledProcessError as exc:
+        print(f"Failed to read staged files: {exc}")
+        return []
+
+    paths = []
+    for line in output.splitlines():
+        line = line.strip()
+        if not line:
+            continue
+        if "/plugins/" not in line:
+            continue
+        if line.endswith("__init__.py") or os.path.basename(line).startswith("test_"):
+            continue
+        paths.append(repo_root / line)
+    return paths
+
+
+def _parse_frontmatter(content: str) -> Dict[str, str]:
+    match = re.search(r'^\s*"""\n(.*?)\n"""', content, re.DOTALL)
+    if not match:
+        match = re.search(r'"""\n(.*?)\n"""', content, re.DOTALL)
+        if not match:
+            return {}
+
+    frontmatter = match.group(1)
+    meta: Dict[str, str] = {}
+    for line in frontmatter.split("\n"):
+        if ":" in line:
+            key, value = line.split(":", 1)
+            meta[key.strip()] = value.strip()
+    return meta
+
+
+def _find_plugin_file(readme_path: Path) -> Optional[Path]:
+    plugin_dir = readme_path.parent
+    is_cn = readme_path.name.lower().endswith("readme_cn.md")
+
+    py_files = [
+        p
+        for p in plugin_dir.glob("*.py")
+        if p.name != "__init__.py" and not p.name.startswith("test_")
+    ]
+    if not py_files:
+        return None
+
+    cn_files = [p for p in py_files if p.stem.endswith("_cn")]
+    en_files = [p for p in py_files if not p.stem.endswith("_cn")]
+
+    candidates = cn_files + en_files if is_cn else en_files + cn_files
+
+    # Prefer files that contain openwebui_id/post_id in frontmatter
+    for candidate in candidates:
+        post_id = _get_post_id(candidate)
+        if post_id:
+            return candidate
+
+    return candidates[0] if candidates else None
+
+
+def _get_post_id(plugin_file: Path) -> Optional[str]:
+    try:
+        content = plugin_file.read_text(encoding="utf-8")
+    except Exception:
+        return None
+
+    meta = _parse_frontmatter(content)
+    return meta.get("openwebui_id") or meta.get("post_id")
+
+
+def _get_plugin_metadata(plugin_file: Path) -> Dict[str, str]:
+    try:
+        content = plugin_file.read_text(encoding="utf-8")
+    except Exception:
+        return {}
+    return _parse_frontmatter(content)
+
+
+def _find_readme_for_plugin(plugin_file: Path) -> Optional[str]:
+    plugin_dir = plugin_file.parent
+    is_cn = plugin_file.stem.endswith("_cn")
+    readme_candidates = ["README_CN.md", "README.md"] if is_cn else ["README.md", "README_CN.md"]
+    for name in readme_candidates:
+        readme_path = plugin_dir / name
+        if readme_path.exists():
+            return readme_path.read_text(encoding="utf-8")
+    return None
+
+
+def main() -> int:
+    repo_root = _get_repo_root()
+    _load_dotenv(repo_root)
+
+    api_key = os.environ.get("OPENWEBUI_API_KEY")
+    if not api_key:
+        print("OPENWEBUI_API_KEY is not set in environment.")
+        return 1
+
+    client_module_path = repo_root / "scripts" / "openwebui_community_client.py"
+    spec = importlib.util.spec_from_file_location(
+        "openwebui_community_client", client_module_path
+    )
+    if not spec or not spec.loader:
+        print("Failed to load openwebui_community_client module.")
+        return 1
+
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    client = module.get_client(api_key)
+
+    staged_plugins = _get_staged_plugin_files(repo_root)
+    staged_readmes = _get_staged_readmes(repo_root)
+    if not staged_plugins and not staged_readmes:
+        print("No staged README or plugin files found.")
+        return 0
+
+    updated_post_ids: set[str] = set()
+
+    for plugin_file in staged_plugins:
+        if not plugin_file.exists():
+            print(f"Skipped (missing): {plugin_file}")
+            continue
+
+        post_id = _get_post_id(plugin_file)
+        if not post_id:
+            print(f"Skipped (no openwebui_id): {plugin_file}")
+            continue
+
+        try:
+            post_data = client.get_post(post_id)
+            if not post_data:
+                print(f"Skipped (post not found): {plugin_file}")
+                continue
+
+            source_code = plugin_file.read_text(encoding="utf-8")
+            metadata = _get_plugin_metadata(plugin_file)
+            readme_content = _find_readme_for_plugin(plugin_file)
+
+            ok = client.update_plugin(
+                post_id=post_id,
+                source_code=source_code,
+                readme_content=readme_content or metadata.get("description", ""),
+                metadata=metadata,
+                media_urls=None,
+            )
+            if ok:
+                updated_post_ids.add(post_id)
+                print(f"Updated plugin -> {plugin_file} (post_id: {post_id})")
+        except Exception as exc:
+            print(f"Failed: {plugin_file} ({exc})")
+
+    for readme_path in staged_readmes:
+        if not readme_path.exists():
+            print(f"Skipped (missing): {readme_path}")
+            continue
+
+        plugin_file = _find_plugin_file(readme_path)
+        if not plugin_file:
+            print(f"Skipped (no plugin file): {readme_path}")
+            continue
+
+        post_id = _get_post_id(plugin_file)
+        if not post_id:
+            print(f"Skipped (no openwebui_id): {readme_path}")
+            continue
+
+        try:
+            if post_id in updated_post_ids:
+                print(f"Skipped (already updated via plugin): {readme_path}")
+                continue
+
+            post_data = client.get_post(post_id)
+            if not post_data:
+                print(f"Skipped (post not found): {readme_path}")
+                continue
+
+            readme_content = readme_path.read_text(encoding="utf-8")
+
+            # Update README content only, keep other fields unchanged.
+            post_data["content"] = readme_content
+
+            ok = client.update_post(post_id, post_data)
+            if ok:
+                print(f"Updated README -> {readme_path} (post_id: {post_id})")
+        except Exception as exc:
+            print(f"Failed: {readme_path} ({exc})")
+
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

plugins/debug/github-copilot-sdk/guides/COPILOT_TOOLS_QUICKSTART.md

@@ -0,0 +1,568 @@
+# GitHub Copilot SDK 自定义工具快速入门
+
+## 🎯 目标
+
+在 OpenWebUI Pipe 中直接使用 GitHub Copilot SDK 的自定义工具功能，无需集成 OpenWebUI Function 系统。
+
+---
+
+## 📖 基础概念
+
+### Copilot SDK Tool 的三要素
+
+```python
+from copilot.types import Tool, ToolInvocation, ToolResult
+
+# 1. Tool Definition（工具定义）
+tool = Tool(
+    name="tool_name",               # 工具名称
+    description="What it does",    # 描述（给 AI 看的）
+    parameters={...},              # JSON Schema 参数定义
+    handler=handler_function       # 处理函数
+)
+
+# 2. Tool Handler（处理函数）
+async def handler_function(invocation: ToolInvocation) -> ToolResult:
+    # invocation 包含：
+    # - session_id: 会话 ID
+    # - tool_call_id: 调用 ID
+    # - tool_name: 工具名称  
+    # - arguments: dict（实际参数）
+    
+    result = do_something(invocation["arguments"])
+    
+    return ToolResult(
+        textResultForLlm="结果文本",
+        resultType="success",  # 或 "failure"
+        error=None,
+        toolTelemetry={}
+    )
+
+# 3. Session Configuration（会话配置）
+session_config = SessionConfig(
+    model="claude-sonnet-4.5",
+    tools=[tool1, tool2, tool3],  # ✅ 传入工具列表
+    streaming=True
+)
+```
+
+---
+
+## 💻 完整实现示例
+
+### 示例 1：获取当前时间
+
+```python
+from datetime import datetime
+from copilot.types import Tool, ToolInvocation, ToolResult
+
+def create_time_tool():
+    """创建获取时间的工具"""
+    
+    async def get_time_handler(invocation: ToolInvocation) -> ToolResult:
+        """工具处理函数"""
+        try:
+            # 获取参数
+            timezone = invocation["arguments"].get("timezone", "UTC")
+            format_str = invocation["arguments"].get("format", "%Y-%m-%d %H:%M:%S")
+            
+            # 执行逻辑
+            current_time = datetime.now().strftime(format_str)
+            result_text = f"Current time: {current_time}"
+            
+            # 返回结果
+            return ToolResult(
+                textResultForLlm=result_text,
+                resultType="success",
+                error=None,
+                toolTelemetry={"execution_time": "fast"}
+            )
+            
+        except Exception as e:
+            return ToolResult(
+                textResultForLlm=f"Error getting time: {str(e)}",
+                resultType="failure",
+                error=str(e),
+                toolTelemetry={}
+            )
+    
+    # 创建工具定义
+    return Tool(
+        name="get_current_time",
+        description="Get the current date and time. Useful when user asks 'what time is it' or needs to know the current date.",
+        parameters={
+            "type": "object",
+            "properties": {
+                "timezone": {
+                    "type": "string",
+                    "description": "Timezone name (e.g., 'UTC', 'Asia/Shanghai')",
+                    "default": "UTC"
+                },
+                "format": {
+                    "type": "string",
+                    "description": "Time format string",
+                    "default": "%Y-%m-%d %H:%M:%S"
+                }
+            }
+        },
+        handler=get_time_handler
+    )
+```
+
+### 示例 2：数学计算器
+
+```python
+def create_calculator_tool():
+    """创建计算器工具"""
+    
+    async def calculate_handler(invocation: ToolInvocation) -> ToolResult:
+        try:
+            expression = invocation["arguments"].get("expression", "")
+            
+            # 安全检查
+            allowed_chars = set("0123456789+-*/()., ")
+            if not all(c in allowed_chars for c in expression):
+                raise ValueError("Expression contains invalid characters")
+            
+            # 计算（安全的 eval）
+            result = eval(expression, {"__builtins__": {}})
+            
+            return ToolResult(
+                textResultForLlm=f"The result of {expression} is {result}",
+                resultType="success",
+                error=None,
+                toolTelemetry={}
+            )
+            
+        except Exception as e:
+            return ToolResult(
+                textResultForLlm=f"Calculation error: {str(e)}",
+                resultType="failure",
+                error=str(e),
+                toolTelemetry={}
+            )
+    
+    return Tool(
+        name="calculate",
+        description="Perform mathematical calculations. Supports basic arithmetic operations (+, -, *, /).",
+        parameters={
+            "type": "object",
+            "properties": {
+                "expression": {
+                    "type": "string",
+                    "description": "Mathematical expression to evaluate (e.g., '2 + 2 * 3')"
+                }
+            },
+            "required": ["expression"]
+        },
+        handler=calculate_handler
+    )
+```
+
+### 示例 3：随机数生成器
+
+```python
+import random
+
+def create_random_number_tool():
+    """创建随机数生成工具"""
+    
+    async def random_handler(invocation: ToolInvocation) -> ToolResult:
+        try:
+            min_val = invocation["arguments"].get("min", 1)
+            max_val = invocation["arguments"].get("max", 100)
+            
+            if min_val >= max_val:
+                raise ValueError("min must be less than max")
+            
+            number = random.randint(min_val, max_val)
+            
+            return ToolResult(
+                textResultForLlm=f"Generated random number: {number}",
+                resultType="success",
+                error=None,
+                toolTelemetry={}
+            )
+            
+        except Exception as e:
+            return ToolResult(
+                textResultForLlm=f"Error: {str(e)}",
+                resultType="failure",
+                error=str(e),
+                toolTelemetry={}
+            )
+    
+    return Tool(
+        name="generate_random_number",
+        description="Generate a random integer within a specified range.",
+        parameters={
+            "type": "object",
+            "properties": {
+                "min": {
+                    "type": "integer",
+                    "description": "Minimum value (inclusive)",
+                    "default": 1
+                },
+                "max": {
+                    "type": "integer",
+                    "description": "Maximum value (inclusive)",
+                    "default": 100
+                }
+            }
+        },
+        handler=random_handler
+    )
+```
+
+---
+
+## 🔧 集成到 Pipe
+
+### 完整的 Pipe 实现
+
+```python
+class Pipe:
+    class Valves(BaseModel):
+        # ... 现有 Valves ...
+        
+        ENABLE_TOOLS: bool = Field(
+            default=False,
+            description="Enable custom tools (time, calculator, random)"
+        )
+        AVAILABLE_TOOLS: str = Field(
+            default="all",
+            description="Available tools: 'all' or comma-separated list (e.g., 'get_current_time,calculate')"
+        )
+    
+    def __init__(self):
+        # ... 现有初始化 ...
+        self._custom_tools = []
+        
+    def _initialize_custom_tools(self):
+        """初始化自定义工具"""
+        if not self.valves.ENABLE_TOOLS:
+            return []
+        
+        # 定义所有可用工具
+        all_tools = {
+            "get_current_time": create_time_tool(),
+            "calculate": create_calculator_tool(),
+            "generate_random_number": create_random_number_tool(),
+        }
+        
+        # 根据配置过滤工具
+        if self.valves.AVAILABLE_TOOLS == "all":
+            return list(all_tools.values())
+        
+        # 只启用指定的工具
+        enabled = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
+        return [all_tools[name] for name in enabled if name in all_tools]
+    
+    async def pipe(
+        self,
+        body: dict,
+        __metadata__: Optional[dict] = None,
+        __event_emitter__=None,
+        __event_call__=None,
+    ) -> Union[str, AsyncGenerator]:
+        # ... 现有代码 ...
+        
+        # ✅ 初始化工具
+        custom_tools = self._initialize_custom_tools()
+        
+        if custom_tools:
+            await self._emit_debug_log(
+                f"Enabled {len(custom_tools)} custom tools: {[t.name for t in custom_tools]}",
+                __event_call__
+            )
+        
+        # ✅ 创建会话配置（传入工具）
+        from copilot.types import SessionConfig, InfiniteSessionConfig
+        
+        session_config = SessionConfig(
+            session_id=chat_id if chat_id else None,
+            model=real_model_id,
+            streaming=body.get("stream", False),
+            tools=custom_tools,  # ✅✅✅ 关键：传入工具列表
+            infinite_sessions=infinite_session_config if self.valves.INFINITE_SESSION else None,
+        )
+        
+        session = await client.create_session(config=session_config)
+        
+        # ... 其余代码保持不变 ...
+```
+
+---
+
+## 📊 处理工具调用事件
+
+### 在 stream_response 中显示工具调用
+
+```python
+async def stream_response(
+    self, client, session, send_payload, init_message: str = "", __event_call__=None
+) -> AsyncGenerator:
+    # ... 现有代码 ...
+    
+    def handler(event):
+        event_type = str(getattr(event.type, "value", event.type))
+        
+        # ✅ 工具调用开始
+        if "tool_invocation_started" in event_type or "tool_call_started" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            if tool_name:
+                queue.put_nowait(f"\n\n🔧 **Calling tool**: `{tool_name}`\n")
+        
+        # ✅ 工具调用完成
+        elif "tool_invocation_completed" in event_type or "tool_call_completed" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            result = get_event_data(event, "result", "")
+            if tool_name:
+                queue.put_nowait(f"\n✅ **Tool `{tool_name}` completed**\n")
+        
+        # ✅ 工具调用失败
+        elif "tool_invocation_failed" in event_type or "tool_call_failed" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            error = get_event_data(event, "error", "")
+            if tool_name:
+                queue.put_nowait(f"\n❌ **Tool `{tool_name}` failed**: {error}\n")
+        
+        # ... 其他事件处理 ...
+    
+    # ... 其余代码 ...
+```
+
+---
+
+## 🧪 测试示例
+
+### 测试 1：询问时间
+
+```
+User: "What time is it now?"
+
+Expected Flow:
+1. Copilot 识别需要调用 get_current_time 工具
+2. 调用工具（无参数或默认参数）
+3. 工具返回: "Current time: 2026-01-26 15:30:00"
+4. Copilot 回答: "The current time is 2026-01-26 15:30:00"
+
+Pipe Output:
+---
+🔧 **Calling tool**: `get_current_time`
+✅ **Tool `get_current_time` completed**
+The current time is 2026-01-26 15:30:00
+---
+```
+
+### 测试 2：数学计算
+
+```
+User: "Calculate 123 * 456"
+
+Expected Flow:
+1. Copilot 调用 calculate 工具
+2. 参数: {"expression": "123 * 456"}
+3. 工具返回: "The result of 123 * 456 is 56088"
+4. Copilot 回答: "123 multiplied by 456 equals 56,088"
+
+Pipe Output:
+---
+🔧 **Calling tool**: `calculate`
+✅ **Tool `calculate` completed**
+123 multiplied by 456 equals 56,088
+---
+```
+
+### 测试 3：生成随机数
+
+```
+User: "Give me a random number between 1 and 10"
+
+Expected Flow:
+1. Copilot 调用 generate_random_number 工具
+2. 参数: {"min": 1, "max": 10}
+3. 工具返回: "Generated random number: 7"
+4. Copilot 回答: "I generated a random number for you: 7"
+```
+
+---
+
+## 🔍 调试技巧
+
+### 1. 记录所有工具事件
+
+```python
+def handler(event):
+    event_type = str(getattr(event.type, "value", event.type))
+    
+    # 记录所有包含 "tool" 的事件
+    if "tool" in event_type.lower():
+        event_data = {}
+        if hasattr(event, "data"):
+            try:
+                event_data = {
+                    "type": event_type,
+                    "data": str(event.data)[:200]  # 截断长数据
+                }
+            except:
+                pass
+        
+        self._emit_debug_log_sync(
+            f"Tool Event: {json.dumps(event_data)}",
+            __event_call__
+        )
+```
+
+### 2. 验证工具注册
+
+```python
+async def pipe(...):
+    # ...
+    custom_tools = self._initialize_custom_tools()
+    
+    # 调试：打印工具信息
+    if self.valves.DEBUG:
+        tool_info = [
+            {
+                "name": t.name,
+                "description": t.description[:50],
+                "has_handler": t.handler is not None
+            }
+            for t in custom_tools
+        ]
+        await self._emit_debug_log(
+            f"Registered tools: {json.dumps(tool_info, indent=2)}",
+            __event_call__
+        )
+```
+
+### 3. 测试工具处理函数
+
+```python
+# 单独测试工具
+async def test_tool():
+    tool = create_time_tool()
+    
+    # 模拟调用
+    invocation = {
+        "session_id": "test",
+        "tool_call_id": "test_call",
+        "tool_name": "get_current_time",
+        "arguments": {"format": "%H:%M:%S"}
+    }
+    
+    result = await tool.handler(invocation)
+    print(f"Result: {result}")
+```
+
+---
+
+## ⚠️ 注意事项
+
+### 1. 工具描述的重要性
+
+工具的 `description` 字段非常重要，它告诉 AI 何时应该使用这个工具：
+
+```python
+# ❌ 差的描述
+description="Get time"
+
+# ✅ 好的描述
+description="Get the current date and time. Use this when the user asks 'what time is it', 'what's the date', or needs to know the current timestamp."
+```
+
+### 2. 参数定义
+
+使用标准的 JSON Schema 定义参数：
+
+```python
+parameters={
+    "type": "object",
+    "properties": {
+        "param_name": {
+            "type": "string",  # string, integer, boolean, array, object
+            "description": "Clear description",
+            "enum": ["option1", "option2"],  # 可选：枚举值
+            "default": "default_value"       # 可选：默认值
+        }
+    },
+    "required": ["param_name"]  # 必需参数
+}
+```
+
+### 3. 错误处理
+
+总是捕获异常并返回有意义的错误：
+
+```python
+try:
+    result = do_something()
+    return ToolResult(
+        textResultForLlm=f"Success: {result}",
+        resultType="success",
+        error=None,
+        toolTelemetry={}
+    )
+except Exception as e:
+    return ToolResult(
+        textResultForLlm=f"Error occurred: {str(e)}",
+        resultType="failure",
+        error=str(e),  # 用于调试
+        toolTelemetry={}
+    )
+```
+
+### 4. 异步 vs 同步
+
+工具处理函数可以是同步或异步：
+
+```python
+# 同步工具
+def sync_handler(invocation):
+    result = calculate(invocation["arguments"])
+    return ToolResult(...)
+
+# 异步工具（推荐）
+async def async_handler(invocation):
+    result = await fetch_data(invocation["arguments"])
+    return ToolResult(...)
+```
+
+---
+
+## 🚀 快速开始清单
+
+- [ ] 1. 在 Valves 中添加 `ENABLE_TOOLS` 配置
+- [ ] 2. 定义 2-3 个简单的工具函数
+- [ ] 3. 实现 `_initialize_custom_tools()` 方法
+- [ ] 4. 修改 `SessionConfig` 传入 `tools` 参数
+- [ ] 5. 在 `stream_response` 中添加工具事件处理
+- [ ] 6. 测试：询问时间、计算数学、生成随机数
+- [ ] 7. 添加调试日志
+- [ ] 8. 同步中文版本
+
+---
+
+## 📚 完整的工具事件列表
+
+根据 SDK 源码，可能的工具相关事件：
+
+- `tool_invocation_started` / `tool_call_started`
+- `tool_invocation_completed` / `tool_call_completed`
+- `tool_invocation_failed` / `tool_call_failed`
+- `tool_parameter_validation_failed`
+
+实际事件名称可能因 SDK 版本而异，建议先记录所有事件类型：
+
+```python
+def handler(event):
+    print(f"Event type: {event.type}")
+```
+
+---
+
+**快速实现入口：** 从示例 1（获取时间）开始，这是最简单的工具，可以快速验证整个流程！
+
+**作者：** Fu-Jie  
+**日期：** 2026-01-26

plugins/debug/github-copilot-sdk/guides/NATIVE_TOOL_DISPLAY_GUIDE.md

@@ -0,0 +1,480 @@
+# OpenWebUI Native Tool Call Display Implementation Guide
+
+**Date:** 2026-01-27  
+**Purpose:** Analyze and implement OpenWebUI's native tool call display mechanism
+
+---
+
+## 📸 Current vs Native Display
+
+### Current Implementation
+
+```markdown
+> 🔧 **Running Tool**: `search_chats`
+
+> ✅ **Tool Completed**: {...}
+```
+
+### OpenWebUI Native Display (from screenshot)
+
+- ✅ Collapsible panel: "查看来自 search_chats 的结果"
+- ✅ Formatted JSON display
+- ✅ Syntax highlighting
+- ✅ Expand/collapse functionality
+- ✅ Clean visual separation
+
+---
+
+## 🔍 Understanding OpenWebUI's Tool Call Format
+
+### Standard OpenAI Tool Call Message Format
+
+OpenWebUI follows the OpenAI Chat Completion API format for tool calls:
+
+#### 1. Assistant Message with Tool Calls
+
+```python
+{
+    "role": "assistant",
+    "content": None,  # or explanatory text
+    "tool_calls": [
+        {
+            "id": "call_abc123",
+            "type": "function",
+            "function": {
+                "name": "search_chats",
+                "arguments": '{"query": ""}'
+            }
+        }
+    ]
+}
+```
+
+#### 2. Tool Response Message
+
+```python
+{
+    "role": "tool",
+    "tool_call_id": "call_abc123",
+    "name": "search_chats",  # Optional but recommended
+    "content": '{"count": 5, "results": [...]}'  # JSON string
+}
+```
+
+---
+
+## 🎯 Implementation Strategy for Native Display
+
+### Option 1: Event Emitter Approach (Recommended)
+
+Use OpenWebUI's event emitter to send structured tool call data:
+
+```python
+async def stream_response(self, ...):
+    # When tool execution starts
+    if event_type == "tool.execution_start":
+        await self._emit_tool_call_start(
+            emitter=__event_call__,
+            tool_call_id=tool_call_id,
+            tool_name=tool_name,
+            arguments=arguments
+        )
+    
+    # When tool execution completes
+    elif event_type == "tool.execution_complete":
+        await self._emit_tool_call_result(
+            emitter=__event_call__,
+            tool_call_id=tool_call_id,
+            tool_name=tool_name,
+            result=result_content
+        )
+```
+
+#### Helper Methods
+
+```python
+async def _emit_tool_call_start(
+    self,
+    emitter: Optional[Callable[[Any], Awaitable[None]]],
+    tool_call_id: str,
+    tool_name: str,
+    arguments: dict
+):
+    """Emit a tool call start event to OpenWebUI."""
+    if not emitter:
+        return
+    
+    try:
+        # OpenWebUI expects tool_calls in assistant message format
+        await emitter({
+            "type": "message",
+            "data": {
+                "role": "assistant",
+                "content": "",
+                "tool_calls": [
+                    {
+                        "id": tool_call_id,
+                        "type": "function",
+                        "function": {
+                            "name": tool_name,
+                            "arguments": json.dumps(arguments, ensure_ascii=False)
+                        }
+                    }
+                ]
+            }
+        })
+    except Exception as e:
+        logger.error(f"Failed to emit tool call start: {e}")
+
+async def _emit_tool_call_result(
+    self,
+    emitter: Optional[Callable[[Any], Awaitable[None]]],
+    tool_call_id: str,
+    tool_name: str,
+    result: Any
+):
+    """Emit a tool call result to OpenWebUI."""
+    if not emitter:
+        return
+    
+    try:
+        # Format result as JSON string
+        if isinstance(result, str):
+            result_content = result
+        else:
+            result_content = json.dumps(result, ensure_ascii=False, indent=2)
+        
+        # OpenWebUI expects tool results in tool message format
+        await emitter({
+            "type": "message",
+            "data": {
+                "role": "tool",
+                "tool_call_id": tool_call_id,
+                "name": tool_name,
+                "content": result_content
+            }
+        })
+    except Exception as e:
+        logger.error(f"Failed to emit tool result: {e}")
+```
+
+### Option 2: Message History Injection
+
+Modify the conversation history to include tool calls:
+
+```python
+# After tool execution, append to messages
+messages.append({
+    "role": "assistant",
+    "content": None,
+    "tool_calls": [{
+        "id": tool_call_id,
+        "type": "function",
+        "function": {
+            "name": tool_name,
+            "arguments": json.dumps(arguments)
+        }
+    }]
+})
+
+messages.append({
+    "role": "tool",
+    "tool_call_id": tool_call_id,
+    "name": tool_name,
+    "content": json.dumps(result)
+})
+```
+
+---
+
+## ⚠️ Challenges with Current Architecture
+
+### 1. Streaming Context
+
+Our current implementation uses:
+
+- **Queue-based streaming**: Events → Queue → Yield chunks
+- **Text chunks only**: We yield plain text, not structured messages
+
+OpenWebUI's native display requires:
+
+- **Structured message events**: Not text chunks
+- **Message-level control**: Need to emit complete messages
+
+### 2. Event Emitter Compatibility
+
+**Current usage:**
+
+```python
+# We use event_emitter for status/notifications
+await event_emitter({
+    "type": "status",
+    "data": {"description": "Processing..."}
+})
+```
+
+**Need for tool calls:**
+
+```python
+# Need to emit message-type events
+await event_emitter({
+    "type": "message",
+    "data": {
+        "role": "tool",
+        "content": "..."
+    }
+})
+```
+
+**Question:** Does `__event_emitter__` support `message` type events?
+
+### 3. Session SDK Events vs OpenWebUI Messages
+
+**Copilot SDK events:**
+
+- `tool.execution_start` → We get tool name, arguments
+- `tool.execution_complete` → We get tool result
+- Designed for streaming text output
+
+**OpenWebUI messages:**
+
+- Expect structured message objects
+- Not designed for mid-stream injection
+
+---
+
+## 🧪 Experimental Implementation
+
+### Step 1: Add Valve for Native Display
+
+```python
+class Valves(BaseModel):
+    USE_NATIVE_TOOL_DISPLAY: bool = Field(
+        default=False,
+        description="Use OpenWebUI's native tool call display instead of markdown formatting"
+    )
+```
+
+### Step 2: Modify Tool Event Handling
+
+```python
+async def stream_response(self, ...):
+    # ...existing code...
+    
+    def handler(event):
+        event_type = get_event_type(event)
+        
+        if event_type == "tool.execution_start":
+            tool_name = safe_get_data_attr(event, "name")
+            
+            # Get tool arguments
+            tool_input = safe_get_data_attr(event, "input") or {}
+            tool_call_id = safe_get_data_attr(event, "tool_call_id", f"call_{time.time()}")
+            
+            if tool_call_id:
+                active_tools[tool_call_id] = {
+                    "name": tool_name,
+                    "arguments": tool_input
+                }
+            
+            if self.valves.USE_NATIVE_TOOL_DISPLAY:
+                # Emit structured tool call
+                asyncio.create_task(
+                    self._emit_tool_call_start(
+                        __event_call__,
+                        tool_call_id,
+                        tool_name,
+                        tool_input
+                    )
+                )
+            else:
+                # Current markdown display
+                queue.put_nowait(f"\n\n> 🔧 **Running Tool**: `{tool_name}`\n\n")
+        
+        elif event_type == "tool.execution_complete":
+            tool_call_id = safe_get_data_attr(event, "tool_call_id")
+            tool_info = active_tools.get(tool_call_id, {})
+            tool_name = tool_info.get("name", "Unknown")
+            
+            # Extract result
+            result_obj = safe_get_data_attr(event, "result")
+            result_content = ""
+            if hasattr(result_obj, "content"):
+                result_content = result_obj.content
+            elif isinstance(result_obj, dict):
+                result_content = result_obj.get("content", "")
+            
+            if self.valves.USE_NATIVE_TOOL_DISPLAY:
+                # Emit structured tool result
+                asyncio.create_task(
+                    self._emit_tool_call_result(
+                        __event_call__,
+                        tool_call_id,
+                        tool_name,
+                        result_content
+                    )
+                )
+            else:
+                # Current markdown display
+                queue.put_nowait(f"> ✅ **Tool Completed**: {result_content}\n\n")
+```
+
+---
+
+## 🔬 Testing Plan
+
+### Test 1: Event Emitter Message Type Support
+
+```python
+# In a test conversation, try:
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "assistant",
+        "content": "Test message"
+    }
+})
+```
+
+**Expected:** Message appears in chat  
+**If fails:** Event emitter doesn't support message type
+
+### Test 2: Tool Call Message Format
+
+```python
+# Send a tool call message
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "assistant",
+        "content": None,
+        "tool_calls": [{
+            "id": "test_123",
+            "type": "function",
+            "function": {
+                "name": "test_tool",
+                "arguments": '{"param": "value"}'
+            }
+        }]
+    }
+})
+
+# Send tool result
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "tool",
+        "tool_call_id": "test_123",
+        "name": "test_tool",
+        "content": '{"result": "success"}'
+    }
+})
+```
+
+**Expected:** OpenWebUI displays collapsible tool panel  
+**If fails:** Event format doesn't match OpenWebUI expectations
+
+### Test 3: Mid-Stream Tool Call Injection
+
+Test if tool call messages can be injected during streaming:
+
+```python
+# Start streaming text
+yield "Processing your request..."
+
+# Mid-stream: emit tool call
+await __event_emitter__({"type": "message", "data": {...}})
+
+# Continue streaming
+yield "Done!"
+```
+
+**Expected:** Tool panel appears mid-response  
+**Risk:** May break streaming flow
+
+---
+
+## 📋 Implementation Checklist
+
+- [x] Add `REASONING_EFFORT` valve (completed)
+- [ ] Add `USE_NATIVE_TOOL_DISPLAY` valve
+- [ ] Implement `_emit_tool_call_start()` helper
+- [ ] Implement `_emit_tool_call_result()` helper
+- [ ] Modify tool event handling in `stream_response()`
+- [ ] Test event emitter message type support
+- [ ] Test tool call message format
+- [ ] Test mid-stream injection
+- [ ] Update documentation
+- [ ] Add user configuration guide
+
+---
+
+## 🤔 Recommendation
+
+### Hybrid Approach (Safest)
+
+Keep both display modes:
+
+1. **Default (Current):** Markdown-based display
+   - ✅ Works reliably with streaming
+   - ✅ No OpenWebUI API dependencies
+   - ✅ Consistent across versions
+
+2. **Experimental (Native):** Structured tool messages
+   - ✅ Better visual integration
+   - ⚠️ Requires testing with OpenWebUI internals
+   - ⚠️ May not work in all scenarios
+
+**Configuration:**
+
+```python
+USE_NATIVE_TOOL_DISPLAY: bool = Field(
+    default=False,
+    description="[EXPERIMENTAL] Use OpenWebUI's native tool call display"
+)
+```
+
+### Why Markdown Display is Currently Better
+
+1. **Reliability:** Always works with streaming
+2. **Flexibility:** Can customize format easily
+3. **Context:** Shows tools inline with reasoning
+4. **Compatibility:** Works across OpenWebUI versions
+
+### When to Use Native Display
+
+- Non-streaming mode (easier to inject messages)
+- After confirming event emitter supports message type
+- For tools with large JSON results (better formatting)
+
+---
+
+## 📚 Next Steps
+
+1. **Research OpenWebUI Source Code**
+   - Check `__event_emitter__` implementation
+   - Verify supported event types
+   - Test message injection patterns
+
+2. **Create Proof of Concept**
+   - Simple test plugin
+   - Emit tool call messages
+   - Verify UI rendering
+
+3. **Document Findings**
+   - Update this guide with test results
+   - Add code examples that work
+   - Create migration guide if successful
+
+---
+
+## 🔗 References
+
+- [OpenAI Chat Completion API](https://platform.openai.com/docs/api-reference/chat/create)
+- [OpenWebUI Plugin Development](https://docs.openwebui.com/)
+- [Copilot SDK Events](https://github.com/github/copilot-sdk)
+
+---
+
+**Author:** Fu-Jie  
+**Status:** Analysis Complete - Implementation Pending Testing

plugins/debug/github-copilot-sdk/guides/NATIVE_TOOL_DISPLAY_GUIDE_CN.md

@@ -0,0 +1,480 @@
+# OpenWebUI 原生工具调用展示实现指南
+
+**日期：** 2026-01-27  
+**目的：** 分析并实现 OpenWebUI 的原生工具调用展示机制
+
+---
+
+## 📸 当前展示 vs 原生展示
+
+### 当前实现
+
+```markdown
+> 🔧 **Running Tool**: `search_chats`
+
+> ✅ **Tool Completed**: {...}
+```
+
+### OpenWebUI 原生展示（来自截图）
+
+- ✅ 可折叠面板："查看来自 search_chats 的结果"
+- ✅ 格式化的 JSON 显示
+- ✅ 语法高亮
+- ✅ 展开/折叠功能
+- ✅ 清晰的视觉分隔
+
+---
+
+## 🔍 理解 OpenWebUI 的工具调用格式
+
+### 标准 OpenAI 工具调用消息格式
+
+OpenWebUI 遵循 OpenAI Chat Completion API 的工具调用格式：
+
+#### 1. 带工具调用的助手消息
+
+```python
+{
+    "role": "assistant",
+    "content": None,  # 或解释性文本
+    "tool_calls": [
+        {
+            "id": "call_abc123",
+            "type": "function",
+            "function": {
+                "name": "search_chats",
+                "arguments": '{"query": ""}'
+            }
+        }
+    ]
+}
+```
+
+#### 2. 工具响应消息
+
+```python
+{
+    "role": "tool",
+    "tool_call_id": "call_abc123",
+    "name": "search_chats",  # 可选但推荐
+    "content": '{"count": 5, "results": [...]}'  # JSON 字符串
+}
+```
+
+---
+
+## 🎯 原生展示的实现策略
+
+### 方案 1：事件发射器方法（推荐）
+
+使用 OpenWebUI 的事件发射器发送结构化工具调用数据：
+
+```python
+async def stream_response(self, ...):
+    # 工具执行开始时
+    if event_type == "tool.execution_start":
+        await self._emit_tool_call_start(
+            emitter=__event_call__,
+            tool_call_id=tool_call_id,
+            tool_name=tool_name,
+            arguments=arguments
+        )
+    
+    # 工具执行完成时
+    elif event_type == "tool.execution_complete":
+        await self._emit_tool_call_result(
+            emitter=__event_call__,
+            tool_call_id=tool_call_id,
+            tool_name=tool_name,
+            result=result_content
+        )
+```
+
+#### 辅助方法
+
+```python
+async def _emit_tool_call_start(
+    self,
+    emitter: Optional[Callable[[Any], Awaitable[None]]],
+    tool_call_id: str,
+    tool_name: str,
+    arguments: dict
+):
+    """向 OpenWebUI 发射工具调用开始事件。"""
+    if not emitter:
+        return
+    
+    try:
+        # OpenWebUI 期望 assistant 消息格式的 tool_calls
+        await emitter({
+            "type": "message",
+            "data": {
+                "role": "assistant",
+                "content": "",
+                "tool_calls": [
+                    {
+                        "id": tool_call_id,
+                        "type": "function",
+                        "function": {
+                            "name": tool_name,
+                            "arguments": json.dumps(arguments, ensure_ascii=False)
+                        }
+                    }
+                ]
+            }
+        })
+    except Exception as e:
+        logger.error(f"发射工具调用开始事件失败: {e}")
+
+async def _emit_tool_call_result(
+    self,
+    emitter: Optional[Callable[[Any], Awaitable[None]]],
+    tool_call_id: str,
+    tool_name: str,
+    result: Any
+):
+    """向 OpenWebUI 发射工具调用结果。"""
+    if not emitter:
+        return
+    
+    try:
+        # 将结果格式化为 JSON 字符串
+        if isinstance(result, str):
+            result_content = result
+        else:
+            result_content = json.dumps(result, ensure_ascii=False, indent=2)
+        
+        # OpenWebUI 期望 tool 消息格式的工具结果
+        await emitter({
+            "type": "message",
+            "data": {
+                "role": "tool",
+                "tool_call_id": tool_call_id,
+                "name": tool_name,
+                "content": result_content
+            }
+        })
+    except Exception as e:
+        logger.error(f"发射工具结果失败: {e}")
+```
+
+### 方案 2：消息历史注入
+
+修改对话历史以包含工具调用：
+
+```python
+# 工具执行后，追加到消息中
+messages.append({
+    "role": "assistant",
+    "content": None,
+    "tool_calls": [{
+        "id": tool_call_id,
+        "type": "function",
+        "function": {
+            "name": tool_name,
+            "arguments": json.dumps(arguments)
+        }
+    }]
+})
+
+messages.append({
+    "role": "tool",
+    "tool_call_id": tool_call_id,
+    "name": tool_name,
+    "content": json.dumps(result)
+})
+```
+
+---
+
+## ⚠️ 当前架构的挑战
+
+### 1. 流式上下文
+
+我们当前的实现使用：
+
+- **基于队列的流式传输**：事件 → 队列 → 产出块
+- **仅文本块**：我们产出纯文本，而非结构化消息
+
+OpenWebUI 的原生展示需要：
+
+- **结构化消息事件**：不是文本块
+- **消息级别控制**：需要发射完整消息
+
+### 2. 事件发射器兼容性
+
+**当前用法：**
+
+```python
+# 我们使用 event_emitter 发送状态/通知
+await event_emitter({
+    "type": "status",
+    "data": {"description": "处理中..."}
+})
+```
+
+**工具调用所需：**
+
+```python
+# 需要发射 message 类型事件
+await event_emitter({
+    "type": "message",
+    "data": {
+        "role": "tool",
+        "content": "..."
+    }
+})
+```
+
+**问题：** `__event_emitter__` 是否支持 `message` 类型事件？
+
+### 3. Session SDK 事件 vs OpenWebUI 消息
+
+**Copilot SDK 事件：**
+
+- `tool.execution_start` → 获取工具名称、参数
+- `tool.execution_complete` → 获取工具结果
+- 为流式文本输出设计
+
+**OpenWebUI 消息：**
+
+- 期望结构化消息对象
+- 不为中间流注入设计
+
+---
+
+## 🧪 实验性实现
+
+### 步骤 1：添加原生展示 Valve
+
+```python
+class Valves(BaseModel):
+    USE_NATIVE_TOOL_DISPLAY: bool = Field(
+        default=False,
+        description="使用 OpenWebUI 的原生工具调用展示，而非 Markdown 格式"
+    )
+```
+
+### 步骤 2：修改工具事件处理
+
+```python
+async def stream_response(self, ...):
+    # ...现有代码...
+    
+    def handler(event):
+        event_type = get_event_type(event)
+        
+        if event_type == "tool.execution_start":
+            tool_name = safe_get_data_attr(event, "name")
+            
+            # 获取工具参数
+            tool_input = safe_get_data_attr(event, "input") or {}
+            tool_call_id = safe_get_data_attr(event, "tool_call_id", f"call_{time.time()}")
+            
+            if tool_call_id:
+                active_tools[tool_call_id] = {
+                    "name": tool_name,
+                    "arguments": tool_input
+                }
+            
+            if self.valves.USE_NATIVE_TOOL_DISPLAY:
+                # 发射结构化工具调用
+                asyncio.create_task(
+                    self._emit_tool_call_start(
+                        __event_call__,
+                        tool_call_id,
+                        tool_name,
+                        tool_input
+                    )
+                )
+            else:
+                # 当前 Markdown 展示
+                queue.put_nowait(f"\n\n> 🔧 **运行工具**: `{tool_name}`\n\n")
+        
+        elif event_type == "tool.execution_complete":
+            tool_call_id = safe_get_data_attr(event, "tool_call_id")
+            tool_info = active_tools.get(tool_call_id, {})
+            tool_name = tool_info.get("name", "未知")
+            
+            # 提取结果
+            result_obj = safe_get_data_attr(event, "result")
+            result_content = ""
+            if hasattr(result_obj, "content"):
+                result_content = result_obj.content
+            elif isinstance(result_obj, dict):
+                result_content = result_obj.get("content", "")
+            
+            if self.valves.USE_NATIVE_TOOL_DISPLAY:
+                # 发射结构化工具结果
+                asyncio.create_task(
+                    self._emit_tool_call_result(
+                        __event_call__,
+                        tool_call_id,
+                        tool_name,
+                        result_content
+                    )
+                )
+            else:
+                # 当前 Markdown 展示
+                queue.put_nowait(f"> ✅ **工具完成**: {result_content}\n\n")
+```
+
+---
+
+## 🔬 测试计划
+
+### 测试 1：事件发射器消息类型支持
+
+```python
+# 在测试对话中尝试：
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "assistant",
+        "content": "测试消息"
+    }
+})
+```
+
+**预期：** 消息出现在聊天中  
+**如果失败：** 事件发射器不支持 message 类型
+
+### 测试 2：工具调用消息格式
+
+```python
+# 发送工具调用消息
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "assistant",
+        "content": None,
+        "tool_calls": [{
+            "id": "test_123",
+            "type": "function",
+            "function": {
+                "name": "test_tool",
+                "arguments": '{"param": "value"}'
+            }
+        }]
+    }
+})
+
+# 发送工具结果
+await __event_emitter__({
+    "type": "message",
+    "data": {
+        "role": "tool",
+        "tool_call_id": "test_123",
+        "name": "test_tool",
+        "content": '{"result": "success"}'
+    }
+})
+```
+
+**预期：** OpenWebUI 显示可折叠工具面板  
+**如果失败：** 事件格式与 OpenWebUI 期望不符
+
+### 测试 3：中间流工具调用注入
+
+测试是否可以在流式传输期间注入工具调用消息：
+
+```python
+# 开始流式文本
+yield "正在处理您的请求..."
+
+# 中间流：发射工具调用
+await __event_emitter__({"type": "message", "data": {...}})
+
+# 继续流式传输
+yield "完成！"
+```
+
+**预期：** 工具面板出现在响应中间  
+**风险：** 可能破坏流式传输流程
+
+---
+
+## 📋 实施检查清单
+
+- [x] 添加 `REASONING_EFFORT` valve（已完成）
+- [ ] 添加 `USE_NATIVE_TOOL_DISPLAY` valve
+- [ ] 实现 `_emit_tool_call_start()` 辅助方法
+- [ ] 实现 `_emit_tool_call_result()` 辅助方法
+- [ ] 修改 `stream_response()` 中的工具事件处理
+- [ ] 测试事件发射器消息类型支持
+- [ ] 测试工具调用消息格式
+- [ ] 测试中间流注入
+- [ ] 更新文档
+- [ ] 添加用户配置指南
+
+---
+
+## 🤔 建议
+
+### 混合方法（最安全）
+
+保留两种展示模式：
+
+1. **默认（当前）：** 基于 Markdown 的展示
+   - ✅ 与流式传输可靠工作
+   - ✅ 无 OpenWebUI API 依赖
+   - ✅ 跨版本一致
+
+2. **实验性（原生）：** 结构化工具消息
+   - ✅ 更好的视觉集成
+   - ⚠️ 需要测试 OpenWebUI 内部
+   - ⚠️ 可能不适用于所有场景
+
+**配置：**
+
+```python
+USE_NATIVE_TOOL_DISPLAY: bool = Field(
+    default=False,
+    description="[实验性] 使用 OpenWebUI 的原生工具调用展示"
+)
+```
+
+### 为什么 Markdown 展示目前更好
+
+1. **可靠性：** 始终与流式传输兼容
+2. **灵活性：** 可以轻松自定义格式
+3. **上下文：** 与推理内联显示工具
+4. **兼容性：** 跨 OpenWebUI 版本工作
+
+### 何时使用原生展示
+
+- 非流式模式（更容易注入消息）
+- 确认事件发射器支持 message 类型后
+- 对于具有大型 JSON 结果的工具（更好的格式化）
+
+---
+
+## 📚 后续步骤
+
+1. **研究 OpenWebUI 源代码**
+   - 检查 `__event_emitter__` 实现
+   - 验证支持的事件类型
+   - 测试消息注入模式
+
+2. **创建概念验证**
+   - 简单测试插件
+   - 发射工具调用消息
+   - 验证 UI 渲染
+
+3. **记录发现**
+   - 使用测试结果更新本指南
+   - 添加有效的代码示例
+   - 如果成功，创建迁移指南
+
+---
+
+## 🔗 参考资料
+
+- [OpenAI Chat Completion API](https://platform.openai.com/docs/api-reference/chat/create)
+- [OpenWebUI 插件开发](https://docs.openwebui.com/)
+- [Copilot SDK 事件](https://github.com/github/copilot-sdk)
+
+---
+
+**作者：** Fu-Jie  
+**状态：** 分析完成 - 实施等待测试

plugins/debug/github-copilot-sdk/guides/NATIVE_TOOL_DISPLAY_USAGE.md

@@ -0,0 +1,182 @@
+# Native Tool Display Usage Guide
+
+## 🎨 What is Native Tool Display?
+
+Native Tool Display is an experimental feature that integrates with OpenWebUI's built-in tool call visualization system. When enabled, tool calls and their results are displayed in **collapsible JSON panels** instead of plain markdown text.
+
+### Visual Comparison
+
+**Traditional Display (markdown):**
+
+```
+> 🔧 Running Tool: `get_current_time`
+> ✅ Tool Completed: 2026-01-27 10:30:00
+```
+
+**Native Display (collapsible panels):**
+
+- Tool call appears in a collapsible `assistant.tool_calls` panel
+- Tool result appears in a separate collapsible `tool.content` panel
+- JSON syntax highlighting for better readability
+- Compact by default, expandable on click
+
+## 🚀 How to Enable
+
+1. Open the GitHub Copilot SDK Pipe configuration (Valves)
+2. Set `USE_NATIVE_TOOL_DISPLAY` to `true`
+3. Save the configuration
+4. Start a new conversation with tool calls
+
+## 📋 Requirements
+
+- OpenWebUI with native tool display support
+- `__event_emitter__` must support `message` type events
+- Tool-enabled models (e.g., GPT-4, Claude Sonnet)
+
+## ⚙️ How It Works
+
+### OpenAI Standard Format
+
+The native display uses the OpenAI standard message format:
+
+**Tool Call (Assistant Message):**
+
+```json
+{
+  "role": "assistant",
+  "content": "",
+  "tool_calls": [
+    {
+      "id": "call_abc123",
+      "type": "function",
+      "function": {
+        "name": "get_current_time",
+        "arguments": "{\"timezone\":\"UTC\"}"
+      }
+    }
+  ]
+}
+```
+
+**Tool Result (Tool Message):**
+
+```json
+{
+  "role": "tool",
+  "tool_call_id": "call_abc123",
+  "content": "2026-01-27 10:30:00 UTC"
+}
+```
+
+### Message Flow
+
+1. **Tool Execution Start**:
+   - SDK emits `tool.execution_start` event
+   - Plugin sends `assistant` message with `tool_calls` array
+   - OpenWebUI displays collapsible tool call panel
+
+2. **Tool Execution Complete**:
+   - SDK emits `tool.execution_complete` event
+   - Plugin sends `tool` message with `tool_call_id` and `content`
+   - OpenWebUI displays collapsible result panel
+
+## 🔧 Troubleshooting
+
+### Panel Not Showing
+
+**Symptoms:** Tool calls still appear as markdown text
+
+**Possible Causes:**
+
+1. `__event_emitter__` doesn't support `message` type events
+2. OpenWebUI version too old
+3. Feature not enabled (`USE_NATIVE_TOOL_DISPLAY = false`)
+
+**Solution:**
+
+- Enable DEBUG mode to see error messages in browser console
+- Check browser console for "Native message emission failed" warnings
+- Update OpenWebUI to latest version
+- Keep `USE_NATIVE_TOOL_DISPLAY = false` to use traditional markdown display
+
+### Duplicate Tool Information
+
+**Symptoms:** Tool calls appear in both native panels and markdown
+
+**Cause:** Mixed display modes
+
+**Solution:**
+
+- Ensure `USE_NATIVE_TOOL_DISPLAY` is either `true` (native only) or `false` (markdown only)
+- Restart the conversation after changing this setting
+
+## 🧪 Experimental Status
+
+This feature is marked as **EXPERIMENTAL** because:
+
+1. **Event Emitter API**: The `__event_emitter__` support for `message` type events is not fully documented
+2. **OpenWebUI Version Dependency**: Requires recent versions of OpenWebUI with native tool display support
+3. **Streaming Architecture**: May have compatibility issues with streaming responses
+
+### Fallback Behavior
+
+If native message emission fails:
+
+- Plugin automatically falls back to markdown display
+- Error logged to browser console (when DEBUG is enabled)
+- No interruption to conversation flow
+
+## 📊 Performance Considerations
+
+Native display has slightly better performance characteristics:
+
+| Aspect | Native Display | Markdown Display |
+|--------|----------------|------------------|
+| **Rendering** | Native UI components | Markdown parser |
+| **Interactivity** | Collapsible panels | Static text |
+| **JSON Parsing** | Handled by UI | Not formatted |
+| **Token Usage** | Minimal overhead | Formatting tokens |
+
+## 🔮 Future Enhancements
+
+Planned improvements for native tool display:
+
+- [ ] Automatic fallback detection
+- [ ] Tool call history persistence
+- [ ] Rich metadata display (execution time, arguments preview)
+- [ ] Copy tool call JSON button
+- [ ] Tool call replay functionality
+
+## 💡 Best Practices
+
+1. **Enable DEBUG First**: Test with DEBUG mode before using in production
+2. **Monitor Browser Console**: Check for warning messages during tool calls
+3. **Test with Simple Tools**: Verify with built-in tools before custom implementations
+4. **Keep Fallback Option**: Don't rely solely on native display until it exits experimental status
+
+## 📖 Related Documentation
+
+- [TOOLS_USAGE.md](TOOLS_USAGE.md) - How to create and use custom tools
+- [NATIVE_TOOL_DISPLAY_GUIDE.md](NATIVE_TOOL_DISPLAY_GUIDE.md) - Technical implementation details
+- [WORKFLOW.md](WORKFLOW.md) - Complete integration workflow
+
+## 🐛 Reporting Issues
+
+If you encounter issues with native tool display:
+
+1. Enable `DEBUG` and `USE_NATIVE_TOOL_DISPLAY`
+2. Open browser console (F12)
+3. Trigger a tool call
+4. Copy any error messages
+5. Report to [GitHub Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+Include:
+
+- OpenWebUI version
+- Browser and version
+- Error messages from console
+- Steps to reproduce
+
+---
+
+**Author:** Fu-Jie | **Version:** 0.2.0 | **License:** MIT

plugins/debug/github-copilot-sdk/guides/NATIVE_TOOL_DISPLAY_USAGE_CN.md

@@ -0,0 +1,182 @@
+# 原生工具显示使用指南
+
+## 🎨 什么是原生工具显示？
+
+原生工具显示是一项实验性功能，与 OpenWebUI 的内置工具调用可视化系统集成。启用后，工具调用及其结果将以**可折叠的 JSON 面板**显示，而不是纯文本 markdown。
+
+### 视觉对比
+
+**传统显示 (markdown):**
+
+```
+> 🔧 正在运行工具: `get_current_time`
+> ✅ 工具已完成: 2026-01-27 10:30:00
+```
+
+**原生显示 (可折叠面板):**
+
+- 工具调用显示在可折叠的 `assistant.tool_calls` 面板中
+- 工具结果显示在单独的可折叠 `tool.content` 面板中
+- JSON 语法高亮，提高可读性
+- 默认折叠，点击即可展开
+
+## 🚀 如何启用
+
+1. 打开 GitHub Copilot SDK Pipe 配置 (Valves)
+2. 将 `USE_NATIVE_TOOL_DISPLAY` 设置为 `true`
+3. 保存配置
+4. 开始新的对话并使用工具调用
+
+## 📋 要求
+
+- 支持原生工具显示的 OpenWebUI
+- `__event_emitter__` 必须支持 `message` 类型事件
+- 支持工具的模型（例如 GPT-4、Claude Sonnet）
+
+## ⚙️ 工作原理
+
+### OpenAI 标准格式
+
+原生显示使用 OpenAI 标准消息格式：
+
+**工具调用（助手消息）：**
+
+```json
+{
+  "role": "assistant",
+  "content": "",
+  "tool_calls": [
+    {
+      "id": "call_abc123",
+      "type": "function",
+      "function": {
+        "name": "get_current_time",
+        "arguments": "{\"timezone\":\"UTC\"}"
+      }
+    }
+  ]
+}
+```
+
+**工具结果（工具消息）：**
+
+```json
+{
+  "role": "tool",
+  "tool_call_id": "call_abc123",
+  "content": "2026-01-27 10:30:00 UTC"
+}
+```
+
+### 消息流程
+
+1. **工具执行开始**：
+   - SDK 发出 `tool.execution_start` 事件
+   - 插件发送带有 `tool_calls` 数组的 `assistant` 消息
+   - OpenWebUI 显示可折叠的工具调用面板
+
+2. **工具执行完成**：
+   - SDK 发出 `tool.execution_complete` 事件
+   - 插件发送带有 `tool_call_id` 和 `content` 的 `tool` 消息
+   - OpenWebUI 显示可折叠的结果面板
+
+## 🔧 故障排除
+
+### 面板未显示
+
+**症状：** 工具调用仍以 markdown 文本形式显示
+
+**可能原因：**
+
+1. `__event_emitter__` 不支持 `message` 类型事件
+2. OpenWebUI 版本过旧
+3. 功能未启用（`USE_NATIVE_TOOL_DISPLAY = false`）
+
+**解决方案：**
+
+- 启用 DEBUG 模式查看浏览器控制台中的错误消息
+- 检查浏览器控制台的 "Native message emission failed" 警告
+- 更新 OpenWebUI 到最新版本
+- 保持 `USE_NATIVE_TOOL_DISPLAY = false` 使用传统 markdown 显示
+
+### 重复的工具信息
+
+**症状：** 工具调用同时出现在原生面板和 markdown 中
+
+**原因：** 混合显示模式
+
+**解决方案：**
+
+- 确保 `USE_NATIVE_TOOL_DISPLAY` 为 `true`（仅原生）或 `false`（仅 markdown）
+- 更改设置后重启对话
+
+## 🧪 实验性状态
+
+此功能标记为**实验性**，因为：
+
+1. **事件发射器 API**：`__event_emitter__` 对 `message` 类型事件的支持未完全文档化
+2. **OpenWebUI 版本依赖**：需要支持原生工具显示的较新 OpenWebUI 版本
+3. **流式架构**：可能与流式响应存在兼容性问题
+
+### 回退行为
+
+如果原生消息发送失败：
+
+- 插件自动回退到 markdown 显示
+- 错误记录到浏览器控制台（启用 DEBUG 时）
+- 不会中断对话流程
+
+## 📊 性能考虑
+
+原生显示具有略好的性能特征：
+
+| 方面 | 原生显示 | Markdown 显示 |
+|------|----------|---------------|
+| **渲染** | 原生 UI 组件 | Markdown 解析器 |
+| **交互性** | 可折叠面板 | 静态文本 |
+| **JSON 解析** | 由 UI 处理 | 未格式化 |
+| **Token 使用** | 最小开销 | 格式化 token |
+
+## 🔮 未来增强
+
+原生工具显示的计划改进：
+
+- [ ] 自动回退检测
+- [ ] 工具调用历史持久化
+- [ ] 丰富的元数据显示（执行时间、参数预览）
+- [ ] 复制工具调用 JSON 按钮
+- [ ] 工具调用重放功能
+
+## 💡 最佳实践
+
+1. **先启用 DEBUG**：在生产环境使用前先在 DEBUG 模式下测试
+2. **监控浏览器控制台**：在工具调用期间检查警告消息
+3. **使用简单工具测试**：在自定义实现前先用内置工具验证
+4. **保留回退选项**：在退出实验性状态前不要完全依赖原生显示
+
+## 📖 相关文档
+
+- [TOOLS_USAGE.md](TOOLS_USAGE.md) - 如何创建和使用自定义工具
+- [NATIVE_TOOL_DISPLAY_GUIDE.md](NATIVE_TOOL_DISPLAY_GUIDE.md) - 技术实现细节
+- [WORKFLOW.md](WORKFLOW.md) - 完整集成工作流程
+
+## 🐛 报告问题
+
+如果您在使用原生工具显示时遇到问题：
+
+1. 启用 `DEBUG` 和 `USE_NATIVE_TOOL_DISPLAY`
+2. 打开浏览器控制台（F12）
+3. 触发工具调用
+4. 复制任何错误消息
+5. 报告到 [GitHub Issues](https://github.com/Fu-Jie/awesome-openwebui/issues)
+
+包含：
+
+- OpenWebUI 版本
+- 浏览器和版本
+- 控制台的错误消息
+- 复现步骤
+
+---
+
+**作者:** Fu-Jie | **版本:** 0.2.0 | **许可证:** MIT

plugins/debug/github-copilot-sdk/guides/OPENWEBUI_FUNCTION_INTEGRATION.md

@@ -0,0 +1,509 @@
+# OpenWebUI Function 集成方案
+
+## 🎯 核心挑战
+
+在 Copilot Tool Handler 中调用 OpenWebUI Functions 的关键问题：
+
+**问题：** Copilot SDK 的 Tool Handler 是一个独立的回调函数，如何在这个上下文中访问和执行 OpenWebUI 的 Function？
+
+---
+
+## 🔍 OpenWebUI Function 系统分析
+
+### 1. Function 数据结构
+
+OpenWebUI 的 Function/Tool 传递格式：
+
+```python
+body = {
+    "tools": [
+        {
+            "type": "function",
+            "function": {
+                "name": "get_weather",
+                "description": "Get current weather",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "location": {"type": "string"}
+                    },
+                    "required": ["location"]
+                }
+            }
+        }
+    ]
+}
+```
+
+### 2. Function 执行机制
+
+OpenWebUI Functions 的执行方式有几种可能：
+
+#### 选项 A: 通过 Function ID 调用内部 API
+
+```python
+# 假设 OpenWebUI 提供内部 API
+from open_webui.apps.webui.models.functions import Functions
+
+function_id = "function_uuid"  # 需要从配置中获取
+result = await Functions.execute_function(
+    function_id=function_id,
+    arguments={"location": "Beijing"}
+)
+```
+
+#### 选项 B: 通过 **event_emitter** 触发
+
+```python
+# 通过事件系统触发 function 执行
+if __event_emitter__:
+    await __event_emitter__({
+        "type": "function_call",
+        "data": {
+            "name": "get_weather",
+            "arguments": {"location": "Beijing"}
+        }
+    })
+```
+
+#### 选项 C: 自己实现 Function 逻辑
+
+```python
+# 在 Pipe 内部实现常用功能
+class Pipe:
+    def _builtin_get_weather(self, location: str) -> dict:
+        # 实现天气查询
+        pass
+    
+    def _builtin_search_web(self, query: str) -> dict:
+        # 实现网页搜索
+        pass
+```
+
+---
+
+## 💡 推荐方案：混合架构
+
+### 架构设计
+
+```
+User Message
+    ↓
+OpenWebUI UI (Functions 已配置)
+    ↓
+Pipe.pipe(body) - body 包含 tools[]
+    ↓
+转换为 Copilot Tools + 存储 Function Registry
+    ↓
+Copilot 决定调用 Tool
+    ↓
+Tool Handler 查询 Registry → 执行对应逻辑
+    ↓
+返回结果给 Copilot
+    ↓
+继续生成回答
+```
+
+### 核心实现
+
+#### 1. Function Registry（函数注册表）
+
+```python
+class Pipe:
+    def __init__(self):
+        # ...
+        self._function_registry = {}  # {function_name: callable}
+        self._function_metadata = {}  # {function_name: metadata}
+```
+
+#### 2. 注册 Functions
+
+```python
+def _register_openwebui_functions(
+    self, 
+    owui_functions: List[dict],
+    __event_emitter__=None,
+    __event_call__=None
+):
+    """
+    注册 OpenWebUI Functions 到内部 registry
+    
+    关键：将 function 定义和执行逻辑关联起来
+    """
+    for func_def in owui_functions:
+        if func_def.get("type") != "function":
+            continue
+        
+        func_info = func_def.get("function", {})
+        func_name = func_info.get("name")
+        
+        if not func_name:
+            continue
+        
+        # 存储元数据
+        self._function_metadata[func_name] = {
+            "description": func_info.get("description", ""),
+            "parameters": func_info.get("parameters", {}),
+            "original_def": func_def
+        }
+        
+        # 创建执行器（关键）
+        executor = self._create_function_executor(
+            func_name,
+            func_def,
+            __event_emitter__,
+            __event_call__
+        )
+        
+        self._function_registry[func_name] = executor
+```
+
+#### 3. Function Executor 工厂
+
+```python
+def _create_function_executor(
+    self,
+    func_name: str,
+    func_def: dict,
+    __event_emitter__=None,
+    __event_call__=None
+):
+    """
+    为每个 function 创建执行器
+    
+    策略：
+    1. 优先使用内置实现
+    2. 尝试调用 OpenWebUI API
+    3. 返回错误
+    """
+    
+    async def executor(arguments: dict) -> dict:
+        # 策略 1: 检查是否有内置实现
+        builtin_method = getattr(self, f"_builtin_{func_name}", None)
+        if builtin_method:
+            self._emit_debug_log_sync(
+                f"Using builtin implementation for {func_name}",
+                __event_call__
+            )
+            try:
+                result = builtin_method(arguments)
+                if inspect.iscoroutine(result):
+                    result = await result
+                return {"success": True, "result": result}
+            except Exception as e:
+                return {"success": False, "error": str(e)}
+        
+        # 策略 2: 尝试通过 Event Emitter 调用
+        if __event_emitter__:
+            try:
+                # 尝试触发 function_call 事件
+                response_queue = asyncio.Queue()
+                
+                await __event_emitter__({
+                    "type": "function_call",
+                    "data": {
+                        "name": func_name,
+                        "arguments": arguments,
+                        "response_queue": response_queue  # 回调队列
+                    }
+                })
+                
+                # 等待结果（带超时）
+                result = await asyncio.wait_for(
+                    response_queue.get(),
+                    timeout=self.valves.TOOL_TIMEOUT
+                )
+                
+                return {"success": True, "result": result}
+            except asyncio.TimeoutError:
+                return {"success": False, "error": "Function execution timeout"}
+            except Exception as e:
+                self._emit_debug_log_sync(
+                    f"Event emitter call failed: {e}",
+                    __event_call__
+                )
+                # 继续尝试其他方法
+        
+        # 策略 3: 尝试调用 OpenWebUI internal API
+        try:
+            # 这需要研究 OpenWebUI 源码确定正确的调用方式
+            from open_webui.apps.webui.models.functions import Functions
+            
+            # 需要获取 function_id（这是关键问题）
+            function_id = self._get_function_id_by_name(func_name)
+            
+            if function_id:
+                result = await Functions.execute(
+                    function_id=function_id,
+                    params=arguments
+                )
+                return {"success": True, "result": result}
+        except ImportError:
+            pass
+        except Exception as e:
+            self._emit_debug_log_sync(
+                f"OpenWebUI API call failed: {e}",
+                __event_call__
+            )
+        
+        # 策略 4: 返回"未实现"错误
+        return {
+            "success": False,
+            "error": f"Function '{func_name}' is not implemented. "
+                     "Please implement it as a builtin method or ensure OpenWebUI API is available."
+        }
+    
+    return executor
+```
+
+#### 4. Tool Handler 实现
+
+```python
+def _create_tool_handler(self, tool_name: str, __event_call__=None):
+    """为 Copilot SDK 创建 Tool Handler"""
+    
+    async def handler(invocation: dict) -> dict:
+        """
+        Copilot Tool Handler
+        
+        invocation: {
+            "session_id": str,
+            "tool_call_id": str,
+            "tool_name": str,
+            "arguments": dict
+        }
+        """
+        try:
+            # 从 registry 获取 executor
+            executor = self._function_registry.get(invocation["tool_name"])
+            
+            if not executor:
+                return {
+                    "textResultForLlm": f"Function '{invocation['tool_name']}' not found.",
+                    "resultType": "failure",
+                    "error": "function_not_found",
+                    "toolTelemetry": {}
+                }
+            
+            # 执行 function
+            self._emit_debug_log_sync(
+                f"Executing function: {invocation['tool_name']}({invocation['arguments']})",
+                __event_call__
+            )
+            
+            exec_result = await executor(invocation["arguments"])
+            
+            # 处理结果
+            if exec_result.get("success"):
+                result_text = str(exec_result.get("result", ""))
+                return {
+                    "textResultForLlm": result_text,
+                    "resultType": "success",
+                    "error": None,
+                    "toolTelemetry": {}
+                }
+            else:
+                error_msg = exec_result.get("error", "Unknown error")
+                return {
+                    "textResultForLlm": f"Function execution failed: {error_msg}",
+                    "resultType": "failure",
+                    "error": error_msg,
+                    "toolTelemetry": {}
+                }
+                
+        except Exception as e:
+            self._emit_debug_log_sync(
+                f"Tool handler error: {e}",
+                __event_call__
+            )
+            return {
+                "textResultForLlm": "An unexpected error occurred during function execution.",
+                "resultType": "failure",
+                "error": str(e),
+                "toolTelemetry": {}
+            }
+    
+    return handler
+```
+
+---
+
+## 🔌 内置 Functions 实现示例
+
+### 示例 1: 获取当前时间
+
+```python
+def _builtin_get_current_time(self, arguments: dict) -> str:
+    """内置实现：获取当前时间"""
+    from datetime import datetime
+    
+    timezone = arguments.get("timezone", "UTC")
+    format_str = arguments.get("format", "%Y-%m-%d %H:%M:%S")
+    
+    now = datetime.now()
+    return now.strftime(format_str)
+```
+
+### 示例 2: 简单计算器
+
+```python
+def _builtin_calculate(self, arguments: dict) -> str:
+    """内置实现：数学计算"""
+    expression = arguments.get("expression", "")
+    
+    try:
+        # 安全的数学计算（仅允许基本运算）
+        allowed_chars = set("0123456789+-*/()., ")
+        if not all(c in allowed_chars for c in expression):
+            raise ValueError("Invalid characters in expression")
+        
+        result = eval(expression, {"__builtins__": {}})
+        return str(result)
+    except Exception as e:
+        raise ValueError(f"Calculation error: {e}")
+```
+
+### 示例 3: 网页搜索（需要外部 API）
+
+```python
+async def _builtin_search_web(self, arguments: dict) -> str:
+    """内置实现：网页搜索（使用 DuckDuckGo）"""
+    query = arguments.get("query", "")
+    max_results = arguments.get("max_results", 5)
+    
+    try:
+        # 使用 duckduckgo_search 库
+        from duckduckgo_search import DDGS
+        
+        results = []
+        with DDGS() as ddgs:
+            for r in ddgs.text(query, max_results=max_results):
+                results.append({
+                    "title": r.get("title", ""),
+                    "url": r.get("href", ""),
+                    "snippet": r.get("body", "")
+                })
+        
+        # 格式化结果
+        formatted = "\n\n".join([
+            f"**{r['title']}**\n{r['url']}\n{r['snippet']}"
+            for r in results
+        ])
+        
+        return formatted
+    except Exception as e:
+        raise ValueError(f"Search failed: {e}")
+```
+
+---
+
+## 🚀 完整集成流程
+
+### pipe() 方法中的集成
+
+```python
+async def pipe(
+    self,
+    body: dict,
+    __metadata__: Optional[dict] = None,
+    __event_emitter__=None,
+    __event_call__=None,
+) -> Union[str, AsyncGenerator]:
+    # ... 现有代码 ...
+    
+    # ✅ Step 1: 提取 OpenWebUI Functions
+    owui_functions = body.get("tools", [])
+    
+    # ✅ Step 2: 注册 Functions
+    if self.valves.ENABLE_TOOLS and owui_functions:
+        self._register_openwebui_functions(
+            owui_functions,
+            __event_emitter__,
+            __event_call__
+        )
+    
+    # ✅ Step 3: 转换为 Copilot Tools
+    copilot_tools = []
+    for func_name in self._function_registry.keys():
+        metadata = self._function_metadata[func_name]
+        copilot_tools.append({
+            "name": func_name,
+            "description": metadata["description"],
+            "parameters": metadata["parameters"],
+            "handler": self._create_tool_handler(func_name, __event_call__)
+        })
+    
+    # ✅ Step 4: 创建 Session 并传递 Tools
+    session_config = SessionConfig(
+        model=real_model_id,
+        tools=copilot_tools,  # ✅ 关键
+        ...
+    )
+    
+    session = await client.create_session(config=session_config)
+    
+    # ... 后续代码 ...
+```
+
+---
+
+## ⚠️ 待解决问题
+
+### 1. Function ID 映射
+
+**问题：** OpenWebUI Functions 通常通过 UUID 标识，但 body 中只有 name
+
+**解决思路：**
+
+- 在 OpenWebUI 启动时建立 name → id 映射表
+- 或者修改 OpenWebUI 在 body 中同时传递 id
+
+### 2. Event Emitter 回调机制
+
+**问题：** 不确定 **event_emitter** 是否支持 function_call 事件
+
+**验证方法：**
+
+```python
+# 测试代码
+await __event_emitter__({
+    "type": "function_call",
+    "data": {"name": "test_func", "arguments": {}}
+})
+```
+
+### 3. 异步执行超时
+
+**问题：** 某些 Functions 可能执行很慢
+
+**解决方案：**
+
+- 实现 timeout 机制（已在 executor 中实现）
+- 对于长时间运行的任务，考虑返回"processing"状态
+
+---
+
+## 📝 实现清单
+
+- [ ] 实现 _function_registry 和 _function_metadata
+- [ ] 实现 _register_openwebui_functions()
+- [ ] 实现 _create_function_executor()
+- [ ] 实现 _create_tool_handler()
+- [ ] 实现 3-5 个常用内置 Functions
+- [ ] 测试 Function 注册和调用流程
+- [ ] 验证 **event_emitter** 机制
+- [ ] 研究 OpenWebUI Functions API
+- [ ] 添加错误处理和超时机制
+- [ ] 更新文档
+
+---
+
+**下一步行动：**
+
+1. 实现基础的 Function Registry
+2. 添加 2-3 个简单的内置 Functions（如 get_time, calculate）
+3. 测试基本的 Tool Calling 流程
+4. 根据测试结果调整架构
+
+**作者：** Fu-Jie  
+**日期：** 2026-01-26

plugins/debug/github-copilot-sdk/guides/SESSIONCONFIG_INTEGRATION_GUIDE.md

@@ -0,0 +1,708 @@
+# SessionConfig 完整功能集成指南
+
+## 📋 概述
+
+本文档详细说明如何将 GitHub Copilot SDK 的 `SessionConfig` 所有功能集成到 OpenWebUI Pipe 中。
+
+---
+
+## 🎯 功能清单与集成状态
+
+| 功能 | 状态 | 优先级 | 说明 |
+|------|------|--------|------|
+| `session_id` | ✅ 已实现 | 高 | 使用 OpenWebUI chat_id |
+| `model` | ✅ 已实现 | 高 | 从 body 动态获取 |
+| `tools` | ✅ 已实现 | 高 | v0.2.0 新增示例工具 |
+| `streaming` | ✅ 已实现 | 高 | 支持流式输出 |
+| `infinite_sessions` | ✅ 已实现 | 高 | 自动上下文压缩 |
+| `system_message` | ⚠️ 部分支持 | 中 | 可通过 Valves 添加 |
+| `available_tools` | ⚠️ 部分支持 | 中 | 已有 AVAILABLE_TOOLS |
+| `excluded_tools` | 🔲 未实现 | 低 | 可添加到 Valves |
+| `on_permission_request` | 🔲 未实现 | 中 | 需要 UI 交互支持 |
+| `provider` (BYOK) | 🔲 未实现 | 低 | 高级功能 |
+| `mcp_servers` | 🔲 未实现 | 低 | MCP 协议支持 |
+| `custom_agents` | 🔲 未实现 | 低 | 自定义代理 |
+| `config_dir` | 🔲 未实现 | 低 | 可通过 WORKSPACE_DIR |
+| `skill_directories` | 🔲 未实现 | 低 | 技能系统 |
+| `disabled_skills` | 🔲 未实现 | 低 | 技能过滤 |
+
+---
+
+## 📖 详细集成方案
+
+### 1. ✅ session_id（已实现）
+
+**功能：** 持久化会话 ID
+
+**当前实现：**
+
+```python
+session_config = SessionConfig(
+    session_id=chat_id if chat_id else None,  # 使用 OpenWebUI 的 chat_id
+    ...
+)
+```
+
+**工作原理：**
+
+- OpenWebUI 的 `chat_id` 直接映射为 Copilot 的 `session_id`
+- 会话状态持久化到磁盘
+- 支持跨重启恢复对话
+
+---
+
+### 2. ✅ model（已实现）
+
+**功能：** 选择 Copilot 模型
+
+**当前实现：**
+
+```python
+# 从用户选择的模型中提取
+request_model = body.get("model", "")
+if request_model.startswith(f"{self.id}-"):
+    real_model_id = request_model[len(f"{self.id}-"):]
+```
+
+**Valves 配置：**
+
+```python
+MODEL_ID: str = Field(
+    default="claude-sonnet-4.5",
+    description="默认模型（动态获取失败时使用）"
+)
+```
+
+---
+
+### 3. ✅ tools（已实现 - v0.2.0）
+
+**功能：** 自定义工具/函数调用
+
+**当前实现：**
+
+```python
+custom_tools = self._initialize_custom_tools()
+session_config = SessionConfig(
+    tools=custom_tools,
+    ...
+)
+```
+
+**Valves 配置：**
+
+```python
+ENABLE_TOOLS: bool = Field(default=False)
+AVAILABLE_TOOLS: str = Field(default="all")
+```
+
+**内置示例工具：**
+
+- `get_current_time` - 获取当前时间
+- `calculate` - 数学计算
+- `generate_random_number` - 随机数生成
+
+**扩展方法：** 参考 [TOOLS_USAGE.md](TOOLS_USAGE.md)
+
+---
+
+### 4. ⚠️ system_message（部分支持）
+
+**功能：** 自定义系统提示词
+
+**集成方案：**
+
+#### 方案 A：通过 Valves 添加（推荐）
+
+```python
+class Valves(BaseModel):
+    SYSTEM_MESSAGE: str = Field(
+        default="",
+        description="Custom system message (append mode)"
+    )
+    SYSTEM_MESSAGE_MODE: str = Field(
+        default="append",
+        description="System message mode: 'append' or 'replace'"
+    )
+```
+
+**实现：**
+
+```python
+async def pipe(self, body, ...):
+    system_message_config = None
+    
+    if self.valves.SYSTEM_MESSAGE:
+        if self.valves.SYSTEM_MESSAGE_MODE == "replace":
+            system_message_config = {
+                "mode": "replace",
+                "content": self.valves.SYSTEM_MESSAGE
+            }
+        else:
+            system_message_config = {
+                "mode": "append",
+                "content": self.valves.SYSTEM_MESSAGE
+            }
+    
+    session_config = SessionConfig(
+        system_message=system_message_config,
+        ...
+    )
+```
+
+#### 方案 B：从 OpenWebUI 系统提示词读取
+
+```python
+# 从 body 中获取系统提示词
+system_prompt = body.get("system", "")
+if system_prompt:
+    system_message_config = {
+        "mode": "append",
+        "content": system_prompt
+    }
+```
+
+**注意事项：**
+
+- `append` 模式：在默认系统提示词后追加
+- `replace` 模式：完全替换（移除 SDK 安全保护）
+
+---
+
+### 5. ⚠️ available_tools / excluded_tools
+
+**功能：** 工具白名单/黑名单
+
+**当前部分支持：**
+
+```python
+AVAILABLE_TOOLS: str = Field(
+    default="all",
+    description="'all' or comma-separated list"
+)
+```
+
+**增强实现：**
+
+```python
+class Valves(BaseModel):
+    AVAILABLE_TOOLS: str = Field(
+        default="all",
+        description="Available tools (comma-separated or 'all')"
+    )
+    EXCLUDED_TOOLS: str = Field(
+        default="",
+        description="Excluded tools (comma-separated)"
+    )
+```
+
+**应用到 SessionConfig：**
+
+```python
+session_config = SessionConfig(
+    tools=custom_tools,
+    available_tools=self._parse_tool_list(self.valves.AVAILABLE_TOOLS),
+    excluded_tools=self._parse_tool_list(self.valves.EXCLUDED_TOOLS),
+    ...
+)
+
+def _parse_tool_list(self, value: str) -> list[str]:
+    """解析工具列表"""
+    if not value or value == "all":
+        return []
+    return [t.strip() for t in value.split(",") if t.strip()]
+```
+
+---
+
+### 6. 🔲 on_permission_request（未实现）
+
+**功能：** 处理权限请求（shell 命令、文件写入等）
+
+**使用场景：**
+
+- Copilot 需要执行 shell 命令
+- 需要写入文件
+- 需要访问 URL
+
+**集成挑战：**
+
+- 需要 OpenWebUI 前端支持实时权限弹窗
+- 需要异步处理用户确认
+
+**推荐方案：**
+
+#### 方案 A：自动批准（开发/测试环境）
+
+```python
+async def auto_approve_permission_handler(
+    request: dict,
+    context: dict
+) -> dict:
+    """自动批准所有权限请求（危险！）"""
+    return {
+        "kind": "approved",
+        "rules": []
+    }
+
+session_config = SessionConfig(
+    on_permission_request=auto_approve_permission_handler,
+    ...
+)
+```
+
+#### 方案 B：基于规则的批准
+
+```python
+class Valves(BaseModel):
+    ALLOW_SHELL_COMMANDS: bool = Field(default=False)
+    ALLOW_FILE_WRITE: bool = Field(default=False)
+    ALLOW_URL_ACCESS: bool = Field(default=True)
+
+async def rule_based_permission_handler(
+    request: dict,
+    context: dict
+) -> dict:
+    kind = request.get("kind")
+    
+    if kind == "shell" and not self.valves.ALLOW_SHELL_COMMANDS:
+        return {"kind": "denied-by-rules"}
+    
+    if kind == "write" and not self.valves.ALLOW_FILE_WRITE:
+        return {"kind": "denied-by-rules"}
+    
+    if kind == "url" and not self.valves.ALLOW_URL_ACCESS:
+        return {"kind": "denied-by-rules"}
+    
+    return {"kind": "approved", "rules": []}
+```
+
+#### 方案 C：通过 Event Emitter 请求用户确认（理想）
+
+```python
+async def interactive_permission_handler(
+    request: dict,
+    context: dict
+) -> dict:
+    """通过前端请求用户确认"""
+    if not __event_emitter__:
+        return {"kind": "denied-no-approval-rule-and-could-not-request-from-user"}
+    
+    # 发送权限请求到前端
+    response_queue = asyncio.Queue()
+    await __event_emitter__({
+        "type": "permission_request",
+        "data": {
+            "kind": request.get("kind"),
+            "description": request.get("description"),
+            "response_queue": response_queue
+        }
+    })
+    
+    # 等待用户响应（带超时）
+    try:
+        user_response = await asyncio.wait_for(
+            response_queue.get(),
+            timeout=30.0
+        )
+        
+        if user_response.get("approved"):
+            return {"kind": "approved", "rules": []}
+        else:
+            return {"kind": "denied-interactively-by-user"}
+    except asyncio.TimeoutError:
+        return {"kind": "denied-no-approval-rule-and-could-not-request-from-user"}
+```
+
+---
+
+### 7. 🔲 provider（BYOK - Bring Your Own Key）
+
+**功能：** 使用自己的 API 密钥连接 OpenAI/Azure/Anthropic
+
+**使用场景：**
+
+- 不使用 GitHub Copilot 配额
+- 直接连接云服务提供商
+- 使用 Azure OpenAI 部署
+
+**集成方案：**
+
+```python
+class Valves(BaseModel):
+    USE_CUSTOM_PROVIDER: bool = Field(default=False)
+    PROVIDER_TYPE: str = Field(
+        default="openai",
+        description="Provider type: openai, azure, anthropic"
+    )
+    PROVIDER_BASE_URL: str = Field(default="")
+    PROVIDER_API_KEY: str = Field(default="")
+    PROVIDER_BEARER_TOKEN: str = Field(default="")
+    AZURE_API_VERSION: str = Field(default="2024-10-21")
+
+def _build_provider_config(self) -> dict | None:
+    """构建 Provider 配置"""
+    if not self.valves.USE_CUSTOM_PROVIDER:
+        return None
+    
+    config = {
+        "type": self.valves.PROVIDER_TYPE,
+        "base_url": self.valves.PROVIDER_BASE_URL,
+    }
+    
+    if self.valves.PROVIDER_API_KEY:
+        config["api_key"] = self.valves.PROVIDER_API_KEY
+    
+    if self.valves.PROVIDER_BEARER_TOKEN:
+        config["bearer_token"] = self.valves.PROVIDER_BEARER_TOKEN
+    
+    if self.valves.PROVIDER_TYPE == "azure":
+        config["azure"] = {
+            "api_version": self.valves.AZURE_API_VERSION
+        }
+    
+    # 自动推断 wire_api
+    if self.valves.PROVIDER_TYPE == "anthropic":
+        config["wire_api"] = "responses"
+    else:
+        config["wire_api"] = "completions"
+    
+    return config
+```
+
+**应用：**
+
+```python
+session_config = SessionConfig(
+    provider=self._build_provider_config(),
+    ...
+)
+```
+
+---
+
+### 8. ✅ streaming（已实现）
+
+**功能：** 流式输出
+
+**当前实现：**
+
+```python
+session_config = SessionConfig(
+    streaming=body.get("stream", False),
+    ...
+)
+```
+
+---
+
+### 9. 🔲 mcp_servers（MCP 协议）
+
+**功能：** Model Context Protocol 服务器集成
+
+**使用场景：**
+
+- 连接外部数据源（数据库、API）
+- 集成第三方服务
+
+**集成方案：**
+
+```python
+class Valves(BaseModel):
+    MCP_SERVERS_CONFIG: str = Field(
+        default="{}",
+        description="MCP servers configuration (JSON format)"
+    )
+
+def _parse_mcp_servers(self) -> dict | None:
+    """解析 MCP 服务器配置"""
+    if not self.valves.MCP_SERVERS_CONFIG:
+        return None
+    
+    try:
+        return json.loads(self.valves.MCP_SERVERS_CONFIG)
+    except:
+        return None
+```
+
+**配置示例：**
+
+```json
+{
+  "database": {
+    "type": "local",
+    "command": "mcp-server-sqlite",
+    "args": ["--db", "/path/to/db.sqlite"],
+    "tools": ["*"]
+  },
+  "weather": {
+    "type": "http",
+    "url": "https://weather-api.example.com/mcp",
+    "tools": ["get_weather", "get_forecast"]
+  }
+}
+```
+
+---
+
+### 10. 🔲 custom_agents
+
+**功能：** 自定义 AI 代理
+
+**使用场景：**
+
+- 专门化的子代理（如代码审查、文档编写）
+- 不同的提示词策略
+
+**集成方案：**
+
+```python
+class Valves(BaseModel):
+    CUSTOM_AGENTS_CONFIG: str = Field(
+        default="[]",
+        description="Custom agents configuration (JSON array)"
+    )
+
+def _parse_custom_agents(self) -> list | None:
+    """解析自定义代理配置"""
+    if not self.valves.CUSTOM_AGENTS_CONFIG:
+        return None
+    
+    try:
+        return json.loads(self.valves.CUSTOM_AGENTS_CONFIG)
+    except:
+        return None
+```
+
+**配置示例：**
+
+```json
+[
+  {
+    "name": "code_reviewer",
+    "display_name": "Code Reviewer",
+    "description": "Reviews code for best practices",
+    "prompt": "You are an expert code reviewer. Focus on security, performance, and maintainability.",
+    "tools": ["read_file", "write_file"],
+    "infer": true
+  }
+]
+```
+
+---
+
+### 11. 🔲 config_dir
+
+**功能：** 自定义配置目录
+
+**当前支持：**
+
+- 已有 `WORKSPACE_DIR` 控制工作目录
+
+**增强方案：**
+
+```python
+class Valves(BaseModel):
+    CONFIG_DIR: str = Field(
+        default="",
+        description="Custom config directory for session state"
+    )
+
+session_config = SessionConfig(
+    config_dir=self.valves.CONFIG_DIR if self.valves.CONFIG_DIR else None,
+    ...
+)
+```
+
+---
+
+### 12. 🔲 skill_directories / disabled_skills
+
+**功能：** Copilot Skills 系统
+
+**使用场景：**
+
+- 加载自定义技能包
+- 禁用特定技能
+
+**集成方案：**
+
+```python
+class Valves(BaseModel):
+    SKILL_DIRECTORIES: str = Field(
+        default="",
+        description="Comma-separated skill directories"
+    )
+    DISABLED_SKILLS: str = Field(
+        default="",
+        description="Comma-separated disabled skills"
+    )
+
+def _parse_skills_config(self):
+    """解析技能配置"""
+    skill_dirs = []
+    if self.valves.SKILL_DIRECTORIES:
+        skill_dirs = [
+            d.strip() 
+            for d in self.valves.SKILL_DIRECTORIES.split(",") 
+            if d.strip()
+        ]
+    
+    disabled = []
+    if self.valves.DISABLED_SKILLS:
+        disabled = [
+            s.strip() 
+            for s in self.valves.DISABLED_SKILLS.split(",") 
+            if s.strip()
+        ]
+    
+    return skill_dirs, disabled
+
+# 应用
+skill_dirs, disabled_skills = self._parse_skills_config()
+session_config = SessionConfig(
+    skill_directories=skill_dirs if skill_dirs else None,
+    disabled_skills=disabled_skills if disabled_skills else None,
+    ...
+)
+```
+
+---
+
+### 13. ✅ infinite_sessions（已实现）
+
+**功能：** 无限会话与自动上下文压缩
+
+**当前实现：**
+
+```python
+class Valves(BaseModel):
+    INFINITE_SESSION: bool = Field(default=True)
+    COMPACTION_THRESHOLD: float = Field(default=0.8)
+    BUFFER_THRESHOLD: float = Field(default=0.95)
+
+infinite_session_config = None
+if self.valves.INFINITE_SESSION:
+    infinite_session_config = {
+        "enabled": True,
+        "background_compaction_threshold": self.valves.COMPACTION_THRESHOLD,
+        "buffer_exhaustion_threshold": self.valves.BUFFER_THRESHOLD,
+    }
+
+session_config = SessionConfig(
+    infinite_sessions=infinite_session_config,
+    ...
+)
+```
+
+---
+
+## 🎯 实施优先级建议
+
+### 🔥 高优先级（立即实现）
+
+1. **system_message** - 用户最常需要的功能
+2. **on_permission_request (基于规则)** - 安全性需求
+
+### 📌 中优先级（下一阶段）
+
+3. **excluded_tools** - 完善工具管理
+4. **provider (BYOK)** - 高级用户需求
+5. **config_dir** - 增强会话管理
+
+### 📋 低优先级（可选）
+
+6. **mcp_servers** - 高级集成
+7. **custom_agents** - 专业化功能
+8. **skill_directories** - 生态系统功能
+
+---
+
+## 🚀 快速实施计划
+
+### Phase 1: 基础增强（1-2小时）
+
+```python
+# 添加到 Valves
+SYSTEM_MESSAGE: str = Field(default="")
+SYSTEM_MESSAGE_MODE: str = Field(default="append")
+EXCLUDED_TOOLS: str = Field(default="")
+
+# 添加到 pipe() 方法
+system_message_config = self._build_system_message_config()
+excluded_tools = self._parse_tool_list(self.valves.EXCLUDED_TOOLS)
+
+session_config = SessionConfig(
+    system_message=system_message_config,
+    excluded_tools=excluded_tools,
+    ...
+)
+```
+
+### Phase 2: 权限管理（2-3小时）
+
+```python
+# 添加权限控制 Valves
+ALLOW_SHELL_COMMANDS: bool = Field(default=False)
+ALLOW_FILE_WRITE: bool = Field(default=False)
+ALLOW_URL_ACCESS: bool = Field(default=True)
+
+# 实现权限处理器
+session_config = SessionConfig(
+    on_permission_request=self._create_permission_handler(),
+    ...
+)
+```
+
+### Phase 3: BYOK 支持（3-4小时）
+
+```python
+# 添加 Provider Valves
+USE_CUSTOM_PROVIDER: bool = Field(default=False)
+PROVIDER_TYPE: str = Field(default="openai")
+PROVIDER_BASE_URL: str = Field(default="")
+PROVIDER_API_KEY: str = Field(default="")
+
+# 实现 Provider 配置
+session_config = SessionConfig(
+    provider=self._build_provider_config(),
+    ...
+)
+```
+
+---
+
+## 📚 参考资源
+
+- **SDK 类型定义**: `/opt/homebrew/.../copilot/types.py`
+- **工具系统**: [TOOLS_USAGE.md](TOOLS_USAGE.md)
+- **SDK 文档**: <https://github.com/github/copilot-sdk>
+
+---
+
+## ✅ 实施检查清单
+
+使用此清单跟踪实施进度：
+
+- [x] session_id
+- [x] model
+- [x] tools
+- [x] streaming
+- [x] infinite_sessions
+- [ ] system_message
+- [ ] available_tools (完善)
+- [ ] excluded_tools
+- [ ] on_permission_request
+- [ ] provider (BYOK)
+- [ ] mcp_servers
+- [ ] custom_agents
+- [ ] config_dir
+- [ ] skill_directories
+- [ ] disabled_skills
+
+---
+
+**作者：** Fu-Jie  
+**版本：** v1.0  
+**日期：** 2026-01-26  
+**更新：** 随功能实施持续更新

plugins/debug/github-copilot-sdk/guides/TOOLS_USAGE.md

@@ -0,0 +1,191 @@
+# 🛠️ Custom Tools Usage / 自定义工具使用指南
+
+## Overview / 概览
+
+This pipe includes **1 example custom tool** that demonstrates how to use GitHub Copilot SDK's tool calling feature.
+
+本 Pipe 包含 **1 个示例自定义工具**，展示如何使用 GitHub Copilot SDK 的工具调用功能。
+
+---
+
+## 🚀 Quick Start / 快速开始
+
+### 1. Enable Tools / 启用工具
+
+In Valves configuration:
+在 Valves 配置中：
+
+```
+ENABLE_TOOLS: true
+AVAILABLE_TOOLS: all
+```
+
+### 2. Test with Conversations / 测试对话
+
+Try these examples:
+尝试这些示例：
+
+**English:**
+
+- "Give me a random number between 1 and 100"
+
+**中文：**
+
+- "给我一个 1 到 100 之间的随机数"
+
+---
+
+## 📦 Included Tools / 内置工具
+
+### 1. `generate_random_number` / 生成随机数
+
+**Description:** Generate a random integer  
+**描述：** 生成随机整数
+
+**Parameters / 参数:**
+
+- `min` (optional): Minimum value (default: 1)
+- `max` (optional): Maximum value (default: 100)
+- `min` (可选): 最小值 (默认: 1)
+- `max` (可选): 最大值 (默认: 100)
+
+**Example / 示例:**
+
+```
+User: "Give me a random number between 1 and 10"
+Copilot: [calls generate_random_number with min=1, max=10] "Generated random number: 7"
+
+用户: "给我一个 1 到 10 之间的随机数"
+Copilot: [调用 generate_random_number，参数 min=1, max=10] "生成的随机数: 7"
+```
+
+---
+
+## ⚙️ Advanced Configuration / 高级配置
+
+### Select Specific Tools / 选择特定工具
+
+Instead of enabling all tools, specify which ones to use:  
+不启用所有工具，而是指定要使用的工具：
+
+```
+ENABLE_TOOLS: true
+AVAILABLE_TOOLS: generate_random_number
+```
+
+---
+
+## 🔧 How Tool Calling Works / 工具调用的工作原理
+
+```
+1. User asks a question / 用户提问
+        ↓
+2. Copilot decides if it needs a tool / Copilot 决定是否需要工具
+        ↓
+3. If yes, Copilot calls the appropriate tool / 如果需要，调用相应工具
+        ↓
+4. Tool executes and returns result / 工具执行并返回结果
+        ↓
+5. Copilot uses the result to answer / Copilot 使用结果回答
+```
+
+### Visual Feedback / 可视化反馈
+
+When tools are called, you'll see:  
+当工具被调用时，你会看到：
+
+```
+🔧 **Calling tool**: `generate_random_number`
+✅ **Tool `generate_random_number` completed**
+
+Generated random number: 7
+```
+
+---
+
+## 📚 Creating Your Own Tools / 创建自定义工具
+
+Want to add your own tools? Follow this pattern (module-level tools):  
+想要添加自己的工具？遵循这个模式（模块级工具）：
+
+```python
+from pydantic import BaseModel, Field
+from copilot import define_tool
+
+class MyToolParams(BaseModel):
+    param_name: str = Field(description="Parameter description")
+
+
+@define_tool(description="Clear description of what the tool does and when to use it")
+async def my_tool(params: MyToolParams) -> str:
+    # Do something
+    result = do_something(params.param_name)
+    return f"Result: {result}"
+```
+
+Then register it in `_initialize_custom_tools()`:  
+然后将它添加到 `_initialize_custom_tools()`:
+
+```python
+def _initialize_custom_tools(self):
+    if not self.valves.ENABLE_TOOLS:
+        return []
+
+    all_tools = {
+        "generate_random_number": generate_random_number,
+        "my_tool": my_tool,  # ✅ Add here
+    }
+
+    if self.valves.AVAILABLE_TOOLS == "all":
+        return list(all_tools.values())
+
+    enabled = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
+    return [all_tools[name] for name in enabled if name in all_tools]
+```
+
+---
+
+## ⚠️ Important Notes / 重要说明
+
+### Security / 安全性
+
+- Tools run in the same process as the pipe
+- Be careful with tools that execute code or access files
+- Always validate input parameters
+
+- 工具在与 Pipe 相同的进程中运行
+- 谨慎处理执行代码或访问文件的工具
+- 始终验证输入参数
+
+### Performance / 性能
+
+- Tool execution is synchronous during streaming
+- Long-running tools may cause delays
+- Consider adding timeouts for external API calls
+
+- 工具执行在流式传输期间是同步的
+- 长时间运行的工具可能导致延迟
+- 考虑为外部 API 调用添加超时
+
+### Debugging / 调试
+
+- Enable `DEBUG: true` to see tool events in the browser console
+- Check tool calls in `🔧 Calling tool` messages
+- Tool errors are displayed in the response
+
+- 启用 `DEBUG: true` 在浏览器控制台查看工具事件
+- 在 `🔧 Calling tool` 消息中检查工具调用
+- 工具错误会显示在响应中
+
+---
+
+## 📖 References / 参考资料
+
+- [Copilot SDK Documentation](https://github.com/github/copilot-sdk)
+- [COPILOT_TOOLS_QUICKSTART.md](COPILOT_TOOLS_QUICKSTART.md) - Detailed implementation guide
+- [JSON Schema](https://json-schema.org/) - For parameter definitions
+
+---
+
+**Version:** 0.2.3  
+**Last Updated:** 2026-01-27

plugins/debug/github-copilot-sdk/guides/TOOL_IMPLEMENTATION_GUIDE.md

@@ -0,0 +1,431 @@
+# GitHub Copilot SDK - Tool 功能实现指南
+
+## 📋 概述
+
+本指南介绍如何在 GitHub Copilot SDK Pipe 中实现 Function/Tool Calling 功能。
+
+---
+
+## 🏗️ 架构设计
+
+### 工作流程
+
+```
+OpenWebUI Tools/Functions
+    ↓ (转换)
+Copilot SDK Tool Definition
+    ↓ (注册)
+Session Tool Handlers
+    ↓ (调用)
+Tool Execution → Result
+    ↓ (返回)
+Continue Conversation
+```
+
+### 核心接口
+
+#### 1. Tool Definition（工具定义）
+
+```python
+from copilot.types import Tool
+
+tool = Tool(
+    name="get_weather",
+    description="Get current weather for a location",
+    parameters={
+        "type": "object",
+        "properties": {
+            "location": {
+                "type": "string",
+                "description": "City name, e.g., 'San Francisco'"
+            },
+            "unit": {
+                "type": "string",
+                "enum": ["celsius", "fahrenheit"],
+                "description": "Temperature unit"
+            }
+        },
+        "required": ["location"]
+    },
+    handler=weather_handler  # 处理函数
+)
+```
+
+#### 2. Tool Handler（处理函数）
+
+```python
+from copilot.types import ToolInvocation, ToolResult
+
+async def weather_handler(invocation: ToolInvocation) -> ToolResult:
+    """
+    invocation 包含：
+    - session_id: str
+    - tool_call_id: str
+    - tool_name: str
+    - arguments: dict  # {"location": "San Francisco", "unit": "celsius"}
+    """
+    location = invocation["arguments"]["location"]
+    
+    # 执行实际逻辑
+    weather_data = await fetch_weather(location)
+    
+    # 返回结果
+    return ToolResult(
+        textResultForLlm=f"Weather in {location}: {weather_data['temp']}°C, {weather_data['condition']}",
+        resultType="success",  # or "failure"
+        error=None,
+        toolTelemetry={"execution_time_ms": 150}
+    )
+```
+
+#### 3. Session Configuration（会话配置）
+
+```python
+from copilot.types import SessionConfig
+
+session_config = SessionConfig(
+    model="claude-sonnet-4.5",
+    tools=[tool1, tool2, tool3],  # ✅ 传递工具列表
+    available_tools=["get_weather", "search_web"],  # 可选：过滤可用工具
+    excluded_tools=["dangerous_tool"],  # 可选：排除工具
+)
+
+session = await client.create_session(config=session_config)
+```
+
+---
+
+## 💻 实现方案
+
+### 方案 A：桥接 OpenWebUI Tools（推荐）
+
+#### 1. 添加 Valves 配置
+
+```python
+class Valves(BaseModel):
+    ENABLE_TOOLS: bool = Field(
+        default=True,
+        description="Enable OpenWebUI tool integration"
+    )
+    TOOL_TIMEOUT: int = Field(
+        default=30,
+        description="Tool execution timeout (seconds)"
+    )
+    AVAILABLE_TOOLS: str = Field(
+        default="",
+        description="Filter specific tools (comma separated, empty = all)"
+    )
+```
+
+#### 2. 实现 Tool 转换器
+
+```python
+def _convert_openwebui_tools_to_copilot(
+    self, 
+    owui_tools: List[dict],
+    __event_call__=None
+) -> List[dict]:
+    """
+    将 OpenWebUI tools 转换为 Copilot SDK 格式
+    
+    OpenWebUI Tool 格式：
+    {
+        "type": "function",
+        "function": {
+            "name": "get_weather",
+            "description": "Get weather info",
+            "parameters": {...}  # JSON Schema
+        }
+    }
+    """
+    copilot_tools = []
+    
+    for tool in owui_tools:
+        if tool.get("type") != "function":
+            continue
+        
+        func = tool.get("function", {})
+        tool_name = func.get("name")
+        
+        if not tool_name:
+            continue
+        
+        # 应用过滤器
+        if self.valves.AVAILABLE_TOOLS:
+            allowed = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
+            if tool_name not in allowed:
+                continue
+        
+        copilot_tools.append({
+            "name": tool_name,
+            "description": func.get("description", ""),
+            "parameters": func.get("parameters", {}),
+            "handler": self._create_tool_handler(tool_name, __event_call__)
+        })
+        
+        self._emit_debug_log_sync(
+            f"Registered tool: {tool_name}",
+            __event_call__
+        )
+    
+    return copilot_tools
+```
+
+#### 3. 实现动态 Tool Handler
+
+```python
+def _create_tool_handler(self, tool_name: str, __event_call__=None):
+    """为每个 tool 创建 handler 函数"""
+    
+    async def handler(invocation: dict) -> dict:
+        """
+        Tool handler 实现
+        
+        invocation 结构：
+        {
+            "session_id": "...",
+            "tool_call_id": "...",
+            "tool_name": "get_weather",
+            "arguments": {"location": "Beijing"}
+        }
+        """
+        try:
+            self._emit_debug_log_sync(
+                f"Tool called: {invocation['tool_name']} with {invocation['arguments']}",
+                __event_call__
+            )
+            
+            # 方法 1: 调用 OpenWebUI 内部 Function API
+            result = await self._execute_openwebui_function(
+                function_name=invocation["tool_name"],
+                arguments=invocation["arguments"]
+            )
+            
+            # 方法 2: 通过 __event_emitter__ 触发（需要测试）
+            # 方法 3: 直接实现工具逻辑
+            
+            return {
+                "textResultForLlm": str(result),
+                "resultType": "success",
+                "error": None,
+                "toolTelemetry": {}
+            }
+            
+        except asyncio.TimeoutError:
+            return {
+                "textResultForLlm": "Tool execution timed out.",
+                "resultType": "failure",
+                "error": "timeout",
+                "toolTelemetry": {}
+            }
+        except Exception as e:
+            self._emit_debug_log_sync(
+                f"Tool error: {e}",
+                __event_call__
+            )
+            return {
+                "textResultForLlm": f"Tool execution failed: {str(e)}",
+                "resultType": "failure",
+                "error": str(e),
+                "toolTelemetry": {}
+            }
+    
+    return handler
+```
+
+#### 4. 集成到 pipe() 方法
+
+```python
+async def pipe(
+    self,
+    body: dict,
+    __metadata__: Optional[dict] = None,
+    __event_emitter__=None,
+    __event_call__=None,
+) -> Union[str, AsyncGenerator]:
+    # ... 现有代码 ...
+    
+    # ✅ 提取并转换 tools
+    copilot_tools = []
+    if self.valves.ENABLE_TOOLS and body.get("tools"):
+        copilot_tools = self._convert_openwebui_tools_to_copilot(
+            body["tools"],
+            __event_call__
+        )
+        
+        await self._emit_debug_log(
+            f"Enabled {len(copilot_tools)} tools",
+            __event_call__
+        )
+    
+    # ✅ 传递给 SessionConfig
+    session_config = SessionConfig(
+        session_id=chat_id if chat_id else None,
+        model=real_model_id,
+        streaming=body.get("stream", False),
+        tools=copilot_tools,  # ✅ 关键
+        infinite_sessions=infinite_session_config,
+    )
+    
+    session = await client.create_session(config=session_config)
+    # ...
+```
+
+#### 5. 处理 Tool 调用事件
+
+```python
+def stream_response(...):
+    def handler(event):
+        event_type = str(event.type)
+        
+        # ✅ Tool 调用开始
+        if "tool_invocation_started" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            yield f"\n🔧 **Calling tool**: `{tool_name}`\n"
+        
+        # ✅ Tool 调用完成
+        elif "tool_invocation_completed" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            result = get_event_data(event, "result", "")
+            yield f"\n✅ **Tool result**: {result}\n"
+        
+        # ✅ Tool 调用失败
+        elif "tool_invocation_failed" in event_type:
+            tool_name = get_event_data(event, "tool_name", "")
+            error = get_event_data(event, "error", "")
+            yield f"\n❌ **Tool failed**: `{tool_name}` - {error}\n"
+```
+
+---
+
+### 方案 B：自定义 Tool 实现
+
+#### Valves 配置
+
+```python
+class Valves(BaseModel):
+    CUSTOM_TOOLS: str = Field(
+        default="[]",
+        description="Custom tools JSON: [{name, description, parameters, implementation}]"
+    )
+```
+
+#### 工具定义示例
+
+```json
+[
+  {
+    "name": "calculate",
+    "description": "Perform mathematical calculations",
+    "parameters": {
+      "type": "object",
+      "properties": {
+        "expression": {
+          "type": "string",
+          "description": "Math expression, e.g., '2 + 2 * 3'"
+        }
+      },
+      "required": ["expression"]
+    },
+    "implementation": "eval"  // 或指定 Python 函数名
+  }
+]
+```
+
+---
+
+## 🧪 测试方案
+
+### 1. 测试 Tool 定义
+
+```python
+# 在 OpenWebUI 中创建一个简单的 Function:
+# Name: get_time
+# Description: Get current time
+# Parameters: {"type": "object", "properties": {}}
+
+# 测试对话：
+# User: "What time is it?"
+# Expected: Copilot 调用 get_time tool，返回当前时间
+```
+
+### 2. 测试 Tool 调用链
+
+```python
+# User: "Search for Python tutorials and summarize the top 3 results"
+# Expected Flow:
+# 1. Copilot calls search_web(query="Python tutorials")
+# 2. Copilot receives search results
+# 3. Copilot summarizes top 3
+# 4. Returns final answer
+```
+
+### 3. 测试错误处理
+
+```python
+# User: "Call a non-existent tool"
+# Expected: 返回 "Tool not supported" error
+```
+
+---
+
+## 📊 事件监听
+
+Tool 相关事件类型：
+
+- `tool_invocation_started` - Tool 调用开始
+- `tool_invocation_completed` - Tool 完成
+- `tool_invocation_failed` - Tool 失败
+- `tool_parameter_validation_failed` - 参数验证失败
+
+---
+
+## ⚠️ 注意事项
+
+### 1. 安全性
+
+- ✅ 验证 tool parameters
+- ✅ 限制执行超时
+- ✅ 不暴露详细错误信息给 LLM
+- ❌ 禁止执行危险命令（如 `rm -rf`）
+
+### 2. 性能
+
+- ⏱️ 设置合理的 timeout
+- 🔄 考虑异步执行长时间运行的 tool
+- 📊 记录 tool 执行时间（toolTelemetry）
+
+### 3. 调试
+
+- 🐛 在 DEBUG 模式下记录所有 tool 调用
+- 📝 记录 arguments 和 results
+- 🔍 使用前端 console 显示 tool 流程
+
+---
+
+## 🔗 参考资源
+
+- [GitHub Copilot SDK 官方文档](https://github.com/github/copilot-sdk)
+- [OpenWebUI Function API](https://docs.openwebui.com/features/plugin-system)
+- [JSON Schema 规范](https://json-schema.org/)
+
+---
+
+## 📝 实现清单
+
+- [ ] 添加 ENABLE_TOOLS Valve
+- [ ] 实现 _convert_openwebui_tools_to_copilot()
+- [ ] 实现 _create_tool_handler()
+- [ ] 修改 SessionConfig 传递 tools
+- [ ] 处理 tool 事件流
+- [ ] 添加调试日志
+- [ ] 测试基础 tool 调用
+- [ ] 测试错误处理
+- [ ] 更新文档和 README
+- [ ] 同步中文版本
+
+---
+
+**作者：** Fu-Jie  
+**版本：** v1.0  
+**日期：** 2026-01-26

plugins/debug/github-copilot-sdk/guides/WORKFLOW.md

@@ -0,0 +1,835 @@
+# GitHub Copilot SDK Integration Workflow
+
+**Author:** Fu-Jie  
+**Version:** 0.2.3  
+**Last Updated:** 2026-01-27
+
+---
+
+## Table of Contents
+
+1. [Architecture Overview](#architecture-overview)
+2. [Request Processing Flow](#request-processing-flow)
+3. [Session Management](#session-management)
+4. [Streaming Response Handling](#streaming-response-handling)
+5. [Event Processing Mechanism](#event-processing-mechanism)
+6. [Tool Execution Flow](#tool-execution-flow)
+7. [System Prompt Extraction](#system-prompt-extraction)
+8. [Configuration Parameters](#configuration-parameters)
+9. [Key Functions Reference](#key-functions-reference)
+
+---
+
+## Architecture Overview
+
+### Component Diagram
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                       OpenWebUI                              │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │              Pipe Interface (Entry Point)             │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+│                        ▼                                     │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │           _pipe_impl (Main Logic)                     │  │
+│  │  ┌──────────────────────────────────────────────────┐ │  │
+│  │  │ 1. Environment Setup (_setup_env)               │ │  │
+│  │  │ 2. Model Selection (request_model parsing)      │ │  │
+│  │  │ 3. Chat Context Extraction                       │ │  │
+│  │  │ 4. System Prompt Extraction                      │ │  │
+│  │  │ 5. Session Management (create/resume)            │ │  │
+│  │  │ 6. Streaming/Non-streaming Response              │ │  │
+│  │  └──────────────────────────────────────────────────┘ │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+│                        ▼                                     │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │           GitHub Copilot Client                       │  │
+│  │  ┌──────────────────────────────────────────────────┐ │  │
+│  │  │ • CopilotClient (SDK instance)                   │ │  │
+│  │  │ • Session (conversation context)                 │ │  │
+│  │  │ • Event Stream (async events)                    │ │  │
+│  │  └──────────────────────────────────────────────────┘ │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+└────────────────────────┼─────────────────────────────────────┘
+                         ▼
+              ┌──────────────────────┐
+              │  Copilot CLI Process │
+              │  (Backend Agent)     │
+              └──────────────────────┘
+```
+
+### Key Components
+
+1. **Pipe Interface**: OpenWebUI's standard entry point
+2. **Environment Manager**: CLI setup, token validation, environment variables
+3. **Session Manager**: Persistent conversation state with automatic compaction
+4. **Event Processor**: Asynchronous streaming event handler
+5. **Tool System**: Custom tool registration and execution
+6. **Debug Logger**: Frontend console logging for troubleshooting
+
+---
+
+## Request Processing Flow
+
+### Complete Request Lifecycle
+
+```mermaid
+graph TD
+    A[OpenWebUI Request] --> B[pipe Entry Point]
+    B --> C[_pipe_impl]
+    C --> D{Setup Environment}
+    D --> E[Parse Model ID]
+    E --> F[Extract Chat Context]
+    F --> G[Extract System Prompt]
+    G --> H{Session Exists?}
+    H -->|Yes| I[Resume Session]
+    H -->|No| J[Create New Session]
+    I --> K[Initialize Tools]
+    J --> K
+    K --> L[Process Images]
+    L --> M{Streaming Mode?}
+    M -->|Yes| N[stream_response]
+    M -->|No| O[send_and_wait]
+    N --> P[Async Event Stream]
+    O --> Q[Direct Response]
+    P --> R[Return to OpenWebUI]
+    Q --> R
+```
+
+### Step-by-Step Breakdown
+
+#### 1. Environment Setup (`_setup_env`)
+
+```python
+def _setup_env(self, __event_call__=None):
+    """
+    Priority:
+    1. Check VALVES.CLI_PATH
+    2. Search system PATH
+    3. Auto-install via curl (if not found)
+    4. Set GH_TOKEN environment variables
+    """
+```
+
+**Actions:**
+
+- Locate Copilot CLI binary
+- Set `COPILOT_CLI_PATH` environment variable
+- Configure `GH_TOKEN` for authentication
+- Apply custom environment variables
+
+#### 2. Model Selection
+
+```python
+# Input: body["model"] = "copilotsdk-claude-sonnet-4.5"
+request_model = body.get("model", "")
+if request_model.startswith(f"{self.id}-"):
+    real_model_id = request_model[len(f"{self.id}-"):]  # "claude-sonnet-4.5"
+```
+
+#### 3. Chat Context Extraction (`_get_chat_context`)
+
+```python
+# Priority order for chat_id:
+# 1. __metadata__ (most reliable)
+# 2. body["chat_id"]
+# 3. body["metadata"]["chat_id"]
+chat_ctx = self._get_chat_context(body, __metadata__, __event_call__)
+chat_id = chat_ctx.get("chat_id")
+```
+
+#### 4. System Prompt Extraction (`_extract_system_prompt`)
+
+Multi-source fallback strategy:
+
+1. `metadata.model.params.system`
+2. Model database lookup (by model_id)
+3. `body.params.system`
+4. Messages with `role="system"`
+
+#### 5. Session Creation/Resumption
+
+**New Session:**
+
+```python
+session_config = SessionConfig(
+    session_id=chat_id,
+    model=real_model_id,
+    streaming=is_streaming,
+    tools=custom_tools,
+    system_message={"mode": "append", "content": system_prompt_content},
+    infinite_sessions=InfiniteSessionConfig(
+        enabled=True,
+        background_compaction_threshold=0.8,
+        buffer_exhaustion_threshold=0.95
+    )
+)
+session = await client.create_session(config=session_config)
+```
+
+**Resume Session:**
+
+```python
+try:
+    session = await client.resume_session(chat_id)
+    # Session state preserved: history, tools, workspace
+except Exception:
+    # Fallback to creating new session
+```
+
+---
+
+## Session Management
+
+### Infinite Sessions Architecture
+
+```
+┌─────────────────────────────────────────────────────────┐
+│              Session Lifecycle                          │
+│                                                         │
+│  ┌──────────┐  create   ┌──────────┐  resume  ┌───────┴───┐
+│  │ Chat ID  │─────────▶ │ Session  │ ◀────────│  OpenWebUI │
+│  └──────────┘           │  State   │          └───────────┘
+│                         └─────┬────┘                       │
+│                               │                            │
+│                               ▼                            │
+│  ┌─────────────────────────────────────────────────────┐  │
+│  │          Context Window Management                  │  │
+│  │  ┌──────────────────────────────────────────────┐  │  │
+│  │  │ Messages [user, assistant, tool_results...]  │  │  │
+│  │  │ Token Usage: ████████████░░░░ (80%)          │  │  │
+│  │  └──────────────────────────────────────────────┘  │  │
+│  │                      │                              │  │
+│  │                      ▼                              │  │
+│  │  ┌──────────────────────────────────────────────┐  │  │
+│  │  │  Threshold Reached (0.8)                     │  │  │
+│  │  │  → Background Compaction Triggered           │  │  │
+│  │  └──────────────────────────────────────────────┘  │  │
+│  │                      │                              │  │
+│  │                      ▼                              │  │
+│  │  ┌──────────────────────────────────────────────┐  │  │
+│  │  │  Compacted Summary + Recent Messages         │  │  │
+│  │  │  Token Usage: ██████░░░░░░░░░░░ (40%)        │  │  │
+│  │  └──────────────────────────────────────────────┘  │  │
+│  └─────────────────────────────────────────────────────┘  │
+└─────────────────────────────────────────────────────────┘
+```
+
+### Configuration Parameters
+
+```python
+InfiniteSessionConfig(
+    enabled=True,                              # Enable infinite sessions
+    background_compaction_threshold=0.8,       # Start compaction at 80% token usage
+    buffer_exhaustion_threshold=0.95           # Emergency threshold at 95%
+)
+```
+
+**Behavior:**
+
+- **< 80%**: Normal operation, no compaction
+- **80-95%**: Background compaction (summarize older messages)
+- **> 95%**: Force compaction before next request
+
+---
+
+## Streaming Response Handling
+
+### Event-Driven Architecture
+
+```python
+async def stream_response(
+    self, client, session, send_payload, init_message: str = "", __event_call__=None
+) -> AsyncGenerator:
+    """
+    Asynchronous event processing with queue-based buffering.
+    
+    Flow:
+    1. Start async send task
+    2. Register event handler
+    3. Process events via queue
+    4. Yield chunks to OpenWebUI
+    5. Clean up resources
+    """
+```
+
+### Event Processing Pipeline
+
+```
+┌────────────────────────────────────────────────────────────┐
+│              Copilot SDK Event Stream                      │
+└────────────────────┬───────────────────────────────────────┘
+                     │
+                     ▼
+        ┌────────────────────────┐
+        │  Event Handler         │
+        │  (Sync Callback)       │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  Async Queue           │
+        │  (Thread-safe)         │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  Consumer Loop         │
+        │  (async for)           │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  yield to OpenWebUI    │
+        └────────────────────────┘
+```
+
+### State Management During Streaming
+
+```python
+state = {
+    "thinking_started": False,   # <think> tags opened
+    "content_sent": False        # Main content has started
+}
+active_tools = {}  # Track concurrent tool executions
+```
+
+**State Transitions:**
+
+1. `reasoning_delta` arrives → `thinking_started = True` → Output: `<think>\n{reasoning}`
+2. `message_delta` arrives → Close `</think>` if open → `content_sent = True` → Output: `{content}`
+3. `tool.execution_start` → Output tool indicator (inside/outside `<think>`)
+4. `session.complete` → Finalize stream
+
+---
+
+## Event Processing Mechanism
+
+### Event Type Reference
+
+Following official SDK patterns (from `copilot.SessionEventType`):
+
+| Event Type | Description | Key Data Fields | Handler Action |
+|-----------|-------------|-----------------|----------------|
+| `assistant.message_delta` | Main content streaming | `delta_content` | Yield text chunk |
+| `assistant.reasoning_delta` | Chain-of-thought | `delta_content` | Wrap in `<think>` tags |
+| `tool.execution_start` | Tool call initiated | `name`, `tool_call_id` | Display tool indicator |
+| `tool.execution_complete` | Tool finished | `result.content` | Show completion status |
+| `session.compaction_start` | Context compaction begins | - | Log debug info |
+| `session.compaction_complete` | Compaction done | - | Log debug info |
+| `session.error` | Error occurred | `error`, `message` | Emit error notification |
+
+### Event Handler Implementation
+
+```python
+def handler(event):
+    """Process streaming events following official SDK patterns."""
+    event_type = get_event_type(event)  # Handle enum/string types
+    
+    # Extract data using safe_get_data_attr (handles dict/object)
+    if event_type == "assistant.message_delta":
+        delta = safe_get_data_attr(event, "delta_content")
+        if delta:
+            queue.put_nowait(delta)  # Thread-safe enqueue
+```
+
+### Official SDK Pattern Compliance
+
+```python
+def safe_get_data_attr(event, attr: str, default=None):
+    """
+    Official pattern: event.data.delta_content
+    Handles both dict and object access patterns.
+    """
+    if not hasattr(event, "data") or event.data is None:
+        return default
+    
+    data = event.data
+    
+    # Dict access (JSON-like)
+    if isinstance(data, dict):
+        return data.get(attr, default)
+    
+    # Object attribute (Python SDK)
+    return getattr(data, attr, default)
+```
+
+---
+
+## Tool Execution Flow
+
+### Tool Registration
+
+```python
+# 1. Define tool at module level
+@define_tool(description="Generate a random integer within a specified range.")
+async def generate_random_number(params: RandomNumberParams) -> str:
+    number = random.randint(params.min, params.max)
+    return f"Generated random number: {number}"
+
+# 2. Register in _initialize_custom_tools
+def _initialize_custom_tools(self):
+    if not self.valves.ENABLE_TOOLS:
+        return []
+    
+    all_tools = {
+        "generate_random_number": generate_random_number,
+    }
+    
+    # Filter based on AVAILABLE_TOOLS valve
+    if self.valves.AVAILABLE_TOOLS == "all":
+        return list(all_tools.values())
+    
+    enabled = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
+    return [all_tools[name] for name in enabled if name in all_tools]
+```
+
+### Tool Execution Timeline
+
+```
+User Message: "Generate a random number between 1 and 100"
+     │
+     ▼
+Model Decision: Use tool `generate_random_number`
+     │
+     ▼
+Event: tool.execution_start
+     │  → Display: "🔧 Running Tool: generate_random_number"
+     ▼
+Tool Function Execution (async)
+     │
+     ▼
+Event: tool.execution_complete
+     │  → Result: "Generated random number: 42"
+     │  → Display: "✅ Tool Completed: 42"
+     ▼
+Model generates response using tool result
+     │
+     ▼
+Event: assistant.message_delta
+     │  → "I generated the number 42 for you."
+     ▼
+Stream Complete
+```
+
+### Visual Indicators
+
+**Before Content:**
+
+```markdown
+<think>
+Running Tool: generate_random_number...
+Tool `generate_random_number` Completed. Result: 42
+</think>
+
+I generated the number 42 for you.
+```
+
+**After Content Started:**
+
+```markdown
+The number is
+
+> 🔧 **Running Tool**: `generate_random_number`
+
+> ✅ **Tool Completed**: 42
+
+actually 42.
+```
+
+---
+
+## System Prompt Extraction
+
+### Multi-Source Priority System
+
+```python
+async def _extract_system_prompt(self, body, messages, request_model, real_model_id):
+    """
+    Priority order:
+    1. metadata.model.params.system (highest)
+    2. Model database lookup
+    3. body.params.system
+    4. messages[role="system"] (fallback)
+    """
+```
+
+### Source 1: Metadata Model Params
+
+```python
+# OpenWebUI injects model configuration
+metadata = body.get("metadata", {})
+meta_model = metadata.get("model", {})
+meta_params = meta_model.get("params", {})
+system_prompt = meta_params.get("system")  # Priority 1
+```
+
+### Source 2: Model Database
+
+```python
+from open_webui.models.models import Models
+
+# Try multiple model ID variations
+model_ids_to_try = [
+    request_model,                    # "copilotsdk-claude-sonnet-4.5"
+    request_model.removeprefix(...),  # "claude-sonnet-4.5"
+    real_model_id,                    # From valves
+]
+
+for mid in model_ids_to_try:
+    model_record = Models.get_model_by_id(mid)
+    if model_record and hasattr(model_record, "params"):
+        system_prompt = model_record.params.get("system")
+        if system_prompt:
+            break
+```
+
+### Source 3: Body Params
+
+```python
+body_params = body.get("params", {})
+system_prompt = body_params.get("system")
+```
+
+### Source 4: System Message
+
+```python
+for msg in messages:
+    if msg.get("role") == "system":
+        system_prompt = self._extract_text_from_content(msg.get("content"))
+        break
+```
+
+### Configuration in SessionConfig
+
+```python
+system_message_config = {
+    "mode": "append",           # Append to conversation context
+    "content": system_prompt_content
+}
+
+session_config = SessionConfig(
+    system_message=system_message_config,
+    # ... other params
+)
+```
+
+---
+
+## Configuration Parameters
+
+### Valve Definitions
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `GH_TOKEN` | str | `""` | GitHub Fine-grained Token (requires 'Copilot Requests' permission) |
+| `MODEL_ID` | str | `"claude-sonnet-4.5"` | Default model when dynamic fetching fails |
+| `CLI_PATH` | str | `"/usr/local/bin/copilot"` | Path to Copilot CLI binary |
+| `DEBUG` | bool | `False` | Enable frontend console debug logging |
+| `LOG_LEVEL` | str | `"error"` | CLI log level: none, error, warning, info, debug, all |
+| `SHOW_THINKING` | bool | `True` | Display model reasoning in `<think>` tags |
+| `SHOW_WORKSPACE_INFO` | bool | `True` | Show session workspace path in debug mode |
+| `EXCLUDE_KEYWORDS` | str | `""` | Comma-separated keywords to exclude models |
+| `WORKSPACE_DIR` | str | `""` | Restricted workspace directory (empty = process cwd) |
+| `INFINITE_SESSION` | bool | `True` | Enable automatic context compaction |
+| `COMPACTION_THRESHOLD` | float | `0.8` | Background compaction at 80% token usage |
+| `BUFFER_THRESHOLD` | float | `0.95` | Emergency threshold at 95% |
+| `TIMEOUT` | int | `300` | Stream chunk timeout (seconds) |
+| `CUSTOM_ENV_VARS` | str | `""` | JSON string of custom environment variables |
+| `ENABLE_TOOLS` | bool | `False` | Enable custom tool system |
+| `AVAILABLE_TOOLS` | str | `"all"` | Available tools: "all" or comma-separated list |
+
+### Environment Variables
+
+```bash
+# Set by _setup_env
+export COPILOT_CLI_PATH="/usr/local/bin/copilot"
+export GH_TOKEN="ghp_xxxxxxxxxxxxxxxxxxxx"
+export GITHUB_TOKEN="ghp_xxxxxxxxxxxxxxxxxxxx"
+
+# Custom variables (from CUSTOM_ENV_VARS valve)
+export CUSTOM_VAR_1="value1"
+export CUSTOM_VAR_2="value2"
+```
+
+---
+
+## Key Functions Reference
+
+### Entry Points
+
+#### `pipe(body, __metadata__, __event_emitter__, __event_call__)`
+
+- **Purpose**: OpenWebUI stable entry point
+- **Returns**: Delegates to `_pipe_impl`
+
+#### `_pipe_impl(body, __metadata__, __event_emitter__, __event_call__)`
+
+- **Purpose**: Main request processing logic
+- **Flow**: Setup → Extract → Session → Response
+- **Returns**: `str` (non-streaming) or `AsyncGenerator` (streaming)
+
+#### `pipes()`
+
+- **Purpose**: Dynamic model list fetching
+- **Returns**: List of available models with multiplier info
+- **Caching**: Uses `_model_cache` to avoid repeated API calls
+
+### Session Management
+
+#### `_build_session_config(chat_id, real_model_id, custom_tools, system_prompt_content, is_streaming)`
+
+- **Purpose**: Construct SessionConfig object
+- **Returns**: `SessionConfig` with infinite sessions and tools
+
+#### `_get_chat_context(body, __metadata__, __event_call__)`
+
+- **Purpose**: Extract chat_id with priority fallback
+- **Returns**: `{"chat_id": str}`
+
+### Streaming
+
+#### `stream_response(client, session, send_payload, init_message, __event_call__)`
+
+- **Purpose**: Async streaming event processor
+- **Yields**: Text chunks to OpenWebUI
+- **Resources**: Auto-cleanup client and session
+
+#### `handler(event)`
+
+- **Purpose**: Sync event callback (inside `stream_response`)
+- **Action**: Parse event → Enqueue chunks → Update state
+
+### Helpers
+
+#### `_emit_debug_log(message, __event_call__)`
+
+- **Purpose**: Send debug logs to frontend console
+- **Condition**: Only when `DEBUG=True`
+
+#### `_setup_env(__event_call__)`
+
+- **Purpose**: Locate CLI, set environment variables
+- **Side Effects**: Modifies `os.environ`
+
+#### `_extract_system_prompt(body, messages, request_model, real_model_id, __event_call__)`
+
+- **Purpose**: Multi-source system prompt extraction
+- **Returns**: `(system_prompt_content, source_name)`
+
+#### `_process_images(messages, __event_call__)`
+
+- **Purpose**: Extract text and images from multimodal messages
+- **Returns**: `(text_content, attachments_list)`
+
+#### `_initialize_custom_tools()`
+
+- **Purpose**: Register and filter custom tools
+- **Returns**: List of tool functions
+
+### Utility Functions
+
+#### `get_event_type(event) -> str`
+
+- **Purpose**: Extract event type string from enum/string
+- **Handles**: `SessionEventType` enum → `.value` extraction
+
+#### `safe_get_data_attr(event, attr: str, default=None)`
+
+- **Purpose**: Safe attribute extraction from event.data
+- **Handles**: Both dict access and object attribute access
+
+---
+
+## Troubleshooting Guide
+
+### Enable Debug Mode
+
+```python
+# In OpenWebUI Valves UI:
+DEBUG = True
+SHOW_WORKSPACE_INFO = True
+LOG_LEVEL = "debug"
+```
+
+### Debug Output Location
+
+**Frontend Console:**
+
+```javascript
+// Open browser DevTools (F12)
+// Look for logs with prefix: [Copilot Pipe]
+console.debug("[Copilot Pipe] Extracted ChatID: abc123 (Source: __metadata__)")
+```
+
+**Backend Logs:**
+
+```python
+# Python logging output
+logger.debug(f"[Copilot Pipe] Session resumed: {chat_id}")
+```
+
+### Common Issues
+
+#### 1. Session Not Resuming
+
+**Symptom:** New session created every request  
+**Causes:**
+
+- `chat_id` not extracted correctly
+- Session expired on Copilot side
+- `INFINITE_SESSION=False` (sessions not persistent)
+
+**Solution:**
+
+```python
+# Check debug logs for:
+"Extracted ChatID: <id> (Source: ...)"
+"Session <id> not found (...), creating new."
+```
+
+#### 2. System Prompt Not Applied
+
+**Symptom:** Model ignores configured system prompt  
+**Causes:**
+
+- Not found in any of 4 sources
+- Session resumed (system prompt only set on creation)
+
+**Solution:**
+
+```python
+# Check debug logs for:
+"Extracted system prompt from <source> (length: X)"
+"Configured system message (mode: append)"
+```
+
+#### 3. Tools Not Available
+
+**Symptom:** Model can't use custom tools  
+**Causes:**
+
+- `ENABLE_TOOLS=False`
+- Tool not registered in `_initialize_custom_tools`
+- Wrong `AVAILABLE_TOOLS` filter
+
+**Solution:**
+
+```python
+# Check debug logs for:
+"Enabled X custom tools: ['tool1', 'tool2']"
+```
+
+---
+
+## Performance Optimization
+
+### Model List Caching
+
+```python
+# First request: Fetch from API
+models = await client.list_models()
+self._model_cache = [...]  # Cache result
+
+# Subsequent requests: Use cache
+if self._model_cache:
+    return self._model_cache
+```
+
+### Session Persistence
+
+**Impact:** Eliminates redundant model initialization on every request
+
+```python
+# Without session:
+# Each request: Initialize model → Load context → Generate → Discard
+
+# With session (chat_id):
+# First request: Initialize model → Load context → Generate → Save
+# Later: Resume → Generate (instant)
+```
+
+### Streaming vs Non-streaming
+
+**Streaming:**
+
+- Lower perceived latency (first token faster)
+- Better UX for long responses
+- Resource cleanup via generator exit
+
+**Non-streaming:**
+
+- Simpler error handling
+- Atomic response (no partial output)
+- Use for short responses
+
+---
+
+## Security Considerations
+
+### Token Protection
+
+```python
+# ❌ Never log tokens
+logger.debug(f"Token: {self.valves.GH_TOKEN}")  # DON'T DO THIS
+
+# ✅ Mask sensitive data
+logger.debug(f"Token configured: {'*' * 10}")
+```
+
+### Workspace Isolation
+
+```python
+# Set WORKSPACE_DIR to restrict file access
+WORKSPACE_DIR = "/safe/sandbox/path"
+
+# Copilot CLI respects this directory
+client_config["cwd"] = WORKSPACE_DIR
+```
+
+### Input Validation
+
+```python
+# Validate chat_id format
+if chat_id and not re.match(r'^[a-zA-Z0-9_-]+$', chat_id):
+    logger.warning(f"Invalid chat_id format: {chat_id}")
+    chat_id = None
+```
+
+---
+
+## Future Enhancements
+
+### Planned Features
+
+1. **Multi-Session Management**: Support multiple parallel sessions per user
+2. **Session Analytics**: Track token usage, compaction frequency
+3. **Tool Result Caching**: Avoid redundant tool calls
+4. **Custom Event Filters**: User-configurable event handling
+5. **Workspace Templates**: Pre-configured workspace environments
+6. **Streaming Abort**: Graceful cancellation of long-running requests
+
+### API Evolution
+
+Monitoring Copilot SDK updates for:
+
+- New event types (e.g., `assistant.function_call`)
+- Enhanced tool capabilities
+- Improved session serialization
+
+---
+
+## References
+
+- [GitHub Copilot SDK Documentation](https://github.com/github/copilot-sdk)
+- [OpenWebUI Pipe Development](https://docs.openwebui.com/)
+- [Awesome OpenWebUI Project](https://github.com/Fu-Jie/awesome-openwebui)
+
+---
+
+**License:** MIT  
+**Maintainer:** Fu-Jie ([@Fu-Jie](https://github.com/Fu-Jie))

plugins/debug/github-copilot-sdk/guides/WORKFLOW_CN.md

@@ -0,0 +1,835 @@
+# GitHub Copilot SDK 集成工作流程
+
+**作者：** Fu-Jie  
+**版本：** 0.2.3  
+**最后更新：** 2026-01-27
+
+---
+
+## 目录
+
+1. [架构概览](#架构概览)
+2. [请求处理流程](#请求处理流程)
+3. [会话管理](#会话管理)
+4. [流式响应处理](#流式响应处理)
+5. [事件处理机制](#事件处理机制)
+6. [工具执行流程](#工具执行流程)
+7. [系统提示词提取](#系统提示词提取)
+8. [配置参数](#配置参数)
+9. [核心函数参考](#核心函数参考)
+
+---
+
+## 架构概览
+
+### 组件图
+
+```
+┌─────────────────────────────────────────────────────────────┐
+│                       OpenWebUI                              │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │              Pipe 接口 (入口点)                        │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+│                        ▼                                     │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │           _pipe_impl (主逻辑)                         │  │
+│  │  ┌──────────────────────────────────────────────────┐ │  │
+│  │  │ 1. 环境设置 (_setup_env)                        │ │  │
+│  │  │ 2. 模型选择 (request_model 解析)                │ │  │
+│  │  │ 3. 聊天上下文提取                                │ │  │
+│  │  │ 4. 系统提示词提取                                │ │  │
+│  │  │ 5. 会话管理 (创建/恢复)                          │ │  │
+│  │  │ 6. 流式/非流式响应                               │ │  │
+│  │  └──────────────────────────────────────────────────┘ │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+│                        ▼                                     │
+│  ┌───────────────────────────────────────────────────────┐  │
+│  │           GitHub Copilot 客户端                       │  │
+│  │  ┌──────────────────────────────────────────────────┐ │  │
+│  │  │ • CopilotClient (SDK 实例)                       │ │  │
+│  │  │ • Session (对话上下文)                           │ │  │
+│  │  │ • Event Stream (异步事件流)                      │ │  │
+│  │  └──────────────────────────────────────────────────┘ │  │
+│  └─────────────────────┬─────────────────────────────────┘  │
+│                        │                                     │
+└────────────────────────┼─────────────────────────────────────┘
+                         ▼
+              ┌──────────────────────┐
+              │  Copilot CLI 进程    │
+              │  (后端代理)          │
+              └──────────────────────┘
+```
+
+### 核心组件
+
+1. **Pipe 接口**：OpenWebUI 的标准入口点
+2. **环境管理器**：CLI 设置、令牌验证、环境变量
+3. **会话管理器**：持久化对话状态，自动压缩
+4. **事件处理器**：异步流式事件处理器
+5. **工具系统**：自定义工具注册和执行
+6. **调试日志器**：前端控制台日志，用于故障排除
+
+---
+
+## 请求处理流程
+
+### 完整请求生命周期
+
+```mermaid
+graph TD
+    A[OpenWebUI 请求] --> B[pipe 入口点]
+    B --> C[_pipe_impl]
+    C --> D{设置环境}
+    D --> E[解析模型 ID]
+    E --> F[提取聊天上下文]
+    F --> G[提取系统提示词]
+    G --> H{会话存在?}
+    H -->|是| I[恢复会话]
+    H -->|否| J[创建新会话]
+    I --> K[初始化工具]
+    J --> K
+    K --> L[处理图片]
+    L --> M{流式模式?}
+    M -->|是| N[stream_response]
+    M -->|否| O[send_and_wait]
+    N --> P[异步事件流]
+    O --> Q[直接响应]
+    P --> R[返回到 OpenWebUI]
+    Q --> R
+```
+
+### 逐步分解
+
+#### 1. 环境设置 (`_setup_env`)
+
+```python
+def _setup_env(self, __event_call__=None):
+    """
+    优先级：
+    1. 检查 VALVES.CLI_PATH
+    2. 搜索系统 PATH
+    3. 自动通过 curl 安装（如果未找到）
+    4. 设置 GH_TOKEN 环境变量
+    """
+```
+
+**操作：**
+
+- 定位 Copilot CLI 二进制文件
+- 设置 `COPILOT_CLI_PATH` 环境变量
+- 配置 `GH_TOKEN` 进行身份验证
+- 应用自定义环境变量
+
+#### 2. 模型选择
+
+```python
+# 输入：body["model"] = "copilotsdk-claude-sonnet-4.5"
+request_model = body.get("model", "")
+if request_model.startswith(f"{self.id}-"):
+    real_model_id = request_model[len(f"{self.id}-"):]  # "claude-sonnet-4.5"
+```
+
+#### 3. 聊天上下文提取 (`_get_chat_context`)
+
+```python
+# chat_id 的优先级顺序：
+# 1. __metadata__（最可靠）
+# 2. body["chat_id"]
+# 3. body["metadata"]["chat_id"]
+chat_ctx = self._get_chat_context(body, __metadata__, __event_call__)
+chat_id = chat_ctx.get("chat_id")
+```
+
+#### 4. 系统提示词提取 (`_extract_system_prompt`)
+
+多源回退策略：
+
+1. `metadata.model.params.system`
+2. 模型数据库查询（按 model_id）
+3. `body.params.system`
+4. 包含 `role="system"` 的消息
+
+#### 5. 会话创建/恢复
+
+**新会话：**
+
+```python
+session_config = SessionConfig(
+    session_id=chat_id,
+    model=real_model_id,
+    streaming=is_streaming,
+    tools=custom_tools,
+    system_message={"mode": "append", "content": system_prompt_content},
+    infinite_sessions=InfiniteSessionConfig(
+        enabled=True,
+        background_compaction_threshold=0.8,
+        buffer_exhaustion_threshold=0.95
+    )
+)
+session = await client.create_session(config=session_config)
+```
+
+**恢复会话：**
+
+```python
+try:
+    session = await client.resume_session(chat_id)
+    # 会话状态保留：历史、工具、工作区
+except Exception:
+    # 回退到创建新会话
+```
+
+---
+
+## 会话管理
+
+### 无限会话架构
+
+```
+┌─────────────────────────────────────────────────────────┐
+│              会话生命周期                                │
+│                                                         │
+│  ┌──────────┐  创建  ┌──────────┐  恢复   ┌───────────┐ │
+│  │ Chat ID  │─────▶ │ Session  │ ◀────────│  OpenWebUI │ │
+│  └──────────┘       │  State   │          └───────────┘ │
+│                     └─────┬────┘                         │
+│                           │                              │
+│                           ▼                              │
+│  ┌─────────────────────────────────────────────────┐    │
+│  │          上下文窗口管理                          │    │
+│  │  ┌──────────────────────────────────────────┐  │    │
+│  │  │ 消息 [user, assistant, tool_results...]  │  │    │
+│  │  │ Token 使用率: ████████████░░░░ (80%)     │  │    │
+│  │  └──────────────────────────────────────────┘  │    │
+│  │                      │                          │    │
+│  │                      ▼                          │    │
+│  │  ┌──────────────────────────────────────────┐  │    │
+│  │  │  达到阈值 (0.8)                          │  │    │
+│  │  │  → 后台压缩触发                          │  │    │
+│  │  └──────────────────────────────────────────┘  │    │
+│  │                      │                          │    │
+│  │                      ▼                          │    │
+│  │  ┌──────────────────────────────────────────┐  │    │
+│  │  │  压缩摘要 + 最近消息                     │  │    │
+│  │  │  Token 使用率: ██████░░░░░░░░░░░ (40%)  │  │    │
+│  │  └──────────────────────────────────────────┘  │    │
+│  └─────────────────────────────────────────────────┘    │
+└─────────────────────────────────────────────────────────┘
+```
+
+### 配置参数
+
+```python
+InfiniteSessionConfig(
+    enabled=True,                              # 启用无限会话
+    background_compaction_threshold=0.8,       # 在 80% token 使用率时开始压缩
+    buffer_exhaustion_threshold=0.95           # 95% 紧急阈值
+)
+```
+
+**行为：**
+
+- **< 80%**：正常操作，无压缩
+- **80-95%**：后台压缩（总结旧消息）
+- **> 95%**：在下一个请求前强制压缩
+
+---
+
+## 流式响应处理
+
+### 事件驱动架构
+
+```python
+async def stream_response(
+    self, client, session, send_payload, init_message: str = "", __event_call__=None
+) -> AsyncGenerator:
+    """
+    使用基于队列的缓冲进行异步事件处理。
+    
+    流程：
+    1. 启动异步发送任务
+    2. 注册事件处理器
+    3. 通过队列处理事件
+    4. 向 OpenWebUI 产出块
+    5. 清理资源
+    """
+```
+
+### 事件处理管道
+
+```
+┌────────────────────────────────────────────────────────────┐
+│              Copilot SDK 事件流                            │
+└────────────────────┬───────────────────────────────────────┘
+                     │
+                     ▼
+        ┌────────────────────────┐
+        │  事件处理器            │
+        │  (同步回调)            │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  异步队列              │
+        │  (线程安全)            │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  消费者循环            │
+        │  (async for)           │
+        └────────┬───────────────┘
+                 │
+                 ▼
+        ┌────────────────────────┐
+        │  yield 到 OpenWebUI    │
+        └────────────────────────┘
+```
+
+### 流式传输期间的状态管理
+
+```python
+state = {
+    "thinking_started": False,   # <think> 标签已打开
+    "content_sent": False        # 主内容已开始
+}
+active_tools = {}  # 跟踪并发工具执行
+```
+
+**状态转换：**
+
+1. `reasoning_delta` 到达 → `thinking_started = True` → 输出：`<think>\n{reasoning}`
+2. `message_delta` 到达 → 如果打开则关闭 `</think>` → `content_sent = True` → 输出：`{content}`
+3. `tool.execution_start` → 输出工具指示器（在 `<think>` 内部/外部）
+4. `session.complete` → 完成流
+
+---
+
+## 事件处理机制
+
+### 事件类型参考
+
+遵循官方 SDK 模式（来自 `copilot.SessionEventType`）：
+
+| 事件类型 | 描述 | 关键数据字段 | 处理器操作 |
+|---------|------|-------------|-----------|
+| `assistant.message_delta` | 主内容流式传输 | `delta_content` | 产出文本块 |
+| `assistant.reasoning_delta` | 思维链 | `delta_content` | 用 `<think>` 标签包装 |
+| `tool.execution_start` | 工具调用启动 | `name`, `tool_call_id` | 显示工具指示器 |
+| `tool.execution_complete` | 工具完成 | `result.content` | 显示完成状态 |
+| `session.compaction_start` | 上下文压缩开始 | - | 记录调试信息 |
+| `session.compaction_complete` | 压缩完成 | - | 记录调试信息 |
+| `session.error` | 发生错误 | `error`, `message` | 发出错误通知 |
+
+### 事件处理器实现
+
+```python
+def handler(event):
+    """遵循官方 SDK 模式处理流式事件。"""
+    event_type = get_event_type(event)  # 处理枚举/字符串类型
+    
+    # 使用 safe_get_data_attr 提取数据（处理 dict/object）
+    if event_type == "assistant.message_delta":
+        delta = safe_get_data_attr(event, "delta_content")
+        if delta:
+            queue.put_nowait(delta)  # 线程安全入队
+```
+
+### 官方 SDK 模式合规性
+
+```python
+def safe_get_data_attr(event, attr: str, default=None):
+    """
+    官方模式：event.data.delta_content
+    处理 dict 和对象访问模式。
+    """
+    if not hasattr(event, "data") or event.data is None:
+        return default
+    
+    data = event.data
+    
+    # Dict 访问（类似 JSON）
+    if isinstance(data, dict):
+        return data.get(attr, default)
+    
+    # 对象属性（Python SDK）
+    return getattr(data, attr, default)
+```
+
+---
+
+## 工具执行流程
+
+### 工具注册
+
+```python
+# 1. 在模块级别定义工具
+@define_tool(description="在指定范围内生成随机整数。")
+async def generate_random_number(params: RandomNumberParams) -> str:
+    number = random.randint(params.min, params.max)
+    return f"生成的随机数: {number}"
+
+# 2. 在 _initialize_custom_tools 中注册
+def _initialize_custom_tools(self):
+    if not self.valves.ENABLE_TOOLS:
+        return []
+    
+    all_tools = {
+        "generate_random_number": generate_random_number,
+    }
+    
+    # 根据 AVAILABLE_TOOLS valve 过滤
+    if self.valves.AVAILABLE_TOOLS == "all":
+        return list(all_tools.values())
+    
+    enabled = [t.strip() for t in self.valves.AVAILABLE_TOOLS.split(",")]
+    return [all_tools[name] for name in enabled if name in all_tools]
+```
+
+### 工具执行时间线
+
+```
+用户消息：生成一个 1 到 100 之间的随机数
+     │
+     ▼
+模型决策：使用工具 `generate_random_number`
+     │
+     ▼
+事件：tool.execution_start
+     │  → 显示："🔧 运行工具：generate_random_number"
+     ▼
+工具函数执行（异步）
+     │
+     ▼
+事件：tool.execution_complete
+     │  → 结果："生成的随机数：42"
+     │  → 显示："✅ 工具完成：42"
+     ▼
+模型使用工具结果生成响应
+     │
+     ▼
+事件：assistant.message_delta
+     │  → "我为你生成了数字 42。"
+     ▼
+流完成
+```
+
+### 视觉指示器
+
+**内容前：**
+
+```markdown
+<think>
+运行工具：generate_random_number...
+工具 `generate_random_number` 完成。结果：42
+</think>
+
+我为你生成了数字 42。
+```
+
+**内容开始后：**
+
+```markdown
+数字是
+
+> 🔧 **运行工具**：`generate_random_number`
+
+> ✅ **工具完成**：42
+
+实际上是 42。
+```
+
+---
+
+## 系统提示词提取
+
+### 多源优先级系统
+
+```python
+async def _extract_system_prompt(self, body, messages, request_model, real_model_id):
+    """
+    优先级顺序：
+    1. metadata.model.params.system（最高）
+    2. 模型数据库查询
+    3. body.params.system
+    4. messages[role="system"]（回退）
+    """
+```
+
+### 来源 1：元数据模型参数
+
+```python
+# OpenWebUI 注入模型配置
+metadata = body.get("metadata", {})
+meta_model = metadata.get("model", {})
+meta_params = meta_model.get("params", {})
+system_prompt = meta_params.get("system")  # 优先级 1
+```
+
+### 来源 2：模型数据库
+
+```python
+from open_webui.models.models import Models
+
+# 尝试多个模型 ID 变体
+model_ids_to_try = [
+    request_model,                    # "copilotsdk-claude-sonnet-4.5"
+    request_model.removeprefix(...),  # "claude-sonnet-4.5"
+    real_model_id,                    # 来自 valves
+]
+
+for mid in model_ids_to_try:
+    model_record = Models.get_model_by_id(mid)
+    if model_record and hasattr(model_record, "params"):
+        system_prompt = model_record.params.get("system")
+        if system_prompt:
+            break
+```
+
+### 来源 3：Body 参数
+
+```python
+body_params = body.get("params", {})
+system_prompt = body_params.get("system")
+```
+
+### 来源 4：系统消息
+
+```python
+for msg in messages:
+    if msg.get("role") == "system":
+        system_prompt = self._extract_text_from_content(msg.get("content"))
+        break
+```
+
+### SessionConfig 中的配置
+
+```python
+system_message_config = {
+    "mode": "append",           # 追加到对话上下文
+    "content": system_prompt_content
+}
+
+session_config = SessionConfig(
+    system_message=system_message_config,
+    # ... 其他参数
+)
+```
+
+---
+
+## 配置参数
+
+### Valve 定义
+
+| 参数 | 类型 | 默认值 | 描述 |
+|-----|------|--------|------|
+| `GH_TOKEN` | str | `""` | GitHub 精细化令牌（需要 'Copilot Requests' 权限） |
+| `MODEL_ID` | str | `"claude-sonnet-4.5"` | 动态获取失败时的默认模型 |
+| `CLI_PATH` | str | `"/usr/local/bin/copilot"` | Copilot CLI 二进制文件路径 |
+| `DEBUG` | bool | `False` | 启用前端控制台调试日志 |
+| `LOG_LEVEL` | str | `"error"` | CLI 日志级别：none、error、warning、info、debug、all |
+| `SHOW_THINKING` | bool | `True` | 在 `<think>` 标签中显示模型推理 |
+| `SHOW_WORKSPACE_INFO` | bool | `True` | 在调试模式下显示会话工作区路径 |
+| `EXCLUDE_KEYWORDS` | str | `""` | 逗号分隔的关键字，用于排除模型 |
+| `WORKSPACE_DIR` | str | `""` | 限制的工作区目录（空 = 进程 cwd） |
+| `INFINITE_SESSION` | bool | `True` | 启用自动上下文压缩 |
+| `COMPACTION_THRESHOLD` | float | `0.8` | 80% token 使用率时后台压缩 |
+| `BUFFER_THRESHOLD` | float | `0.95` | 95% 紧急阈值 |
+| `TIMEOUT` | int | `300` | 流块超时（秒） |
+| `CUSTOM_ENV_VARS` | str | `""` | 自定义环境变量的 JSON 字符串 |
+| `ENABLE_TOOLS` | bool | `False` | 启用自定义工具系统 |
+| `AVAILABLE_TOOLS` | str | `"all"` | 可用工具："all" 或逗号分隔列表 |
+
+### 环境变量
+
+```bash
+# 由 _setup_env 设置
+export COPILOT_CLI_PATH="/usr/local/bin/copilot"
+export GH_TOKEN="ghp_xxxxxxxxxxxxxxxxxxxx"
+export GITHUB_TOKEN="ghp_xxxxxxxxxxxxxxxxxxxx"
+
+# 自定义变量（来自 CUSTOM_ENV_VARS valve）
+export CUSTOM_VAR_1="value1"
+export CUSTOM_VAR_2="value2"
+```
+
+---
+
+## 核心函数参考
+
+### 入口点
+
+#### `pipe(body, __metadata__, __event_emitter__, __event_call__)`
+
+- **目的**：OpenWebUI 稳定入口点
+- **返回**：委托给 `_pipe_impl`
+
+#### `_pipe_impl(body, __metadata__, __event_emitter__, __event_call__)`
+
+- **目的**：主请求处理逻辑
+- **流程**：设置 → 提取 → 会话 → 响应
+- **返回**：`str`（非流式）或 `AsyncGenerator`（流式）
+
+#### `pipes()`
+
+- **目的**：动态模型列表获取
+- **返回**：带有倍数信息的可用模型列表
+- **缓存**：使用 `_model_cache` 避免重复 API 调用
+
+### 会话管理
+
+#### `_build_session_config(chat_id, real_model_id, custom_tools, system_prompt_content, is_streaming)`
+
+- **目的**：构建 SessionConfig 对象
+- **返回**：带有无限会话和工具的 `SessionConfig`
+
+#### `_get_chat_context(body, __metadata__, __event_call__)`
+
+- **目的**：使用优先级回退提取 chat_id
+- **返回**：`{"chat_id": str}`
+
+### 流式传输
+
+#### `stream_response(client, session, send_payload, init_message, __event_call__)`
+
+- **目的**：异步流式事件处理器
+- **产出**：文本块到 OpenWebUI
+- **资源**：自动清理客户端和会话
+
+#### `handler(event)`
+
+- **目的**：同步事件回调（在 `stream_response` 内）
+- **操作**：解析事件 → 入队块 → 更新状态
+
+### 辅助函数
+
+#### `_emit_debug_log(message, __event_call__)`
+
+- **目的**：将调试日志发送到前端控制台
+- **条件**：仅当 `DEBUG=True` 时
+
+#### `_setup_env(__event_call__)`
+
+- **目的**：定位 CLI，设置环境变量
+- **副作用**：修改 `os.environ`
+
+#### `_extract_system_prompt(body, messages, request_model, real_model_id, __event_call__)`
+
+- **目的**：多源系统提示词提取
+- **返回**：`(system_prompt_content, source_name)`
+
+#### `_process_images(messages, __event_call__)`
+
+- **目的**：从多模态消息中提取文本和图片
+- **返回**：`(text_content, attachments_list)`
+
+#### `_initialize_custom_tools()`
+
+- **目的**：注册和过滤自定义工具
+- **返回**：工具函数列表
+
+### 实用函数
+
+#### `get_event_type(event) -> str`
+
+- **目的**：从枚举/字符串提取事件类型字符串
+- **处理**：`SessionEventType` 枚举 → `.value` 提取
+
+#### `safe_get_data_attr(event, attr: str, default=None)`
+
+- **目的**：从 event.data 安全提取属性
+- **处理**：dict 访问和对象属性访问
+
+---
+
+## 故障排除指南
+
+### 启用调试模式
+
+```python
+# 在 OpenWebUI Valves UI 中：
+DEBUG = True
+SHOW_WORKSPACE_INFO = True
+LOG_LEVEL = "debug"
+```
+
+### 调试输出位置
+
+**前端控制台：**
+
+```javascript
+// 打开浏览器开发工具 (F12)
+// 查找前缀为 [Copilot Pipe] 的日志
+console.debug("[Copilot Pipe] 提取的 ChatID：abc123（来源：__metadata__）")
+```
+
+**后端日志：**
+
+```python
+# Python 日志输出
+logger.debug(f"[Copilot Pipe] 会话已恢复：{chat_id}")
+```
+
+### 常见问题
+
+#### 1. 会话未恢复
+
+**症状**：每次请求都创建新会话  
+**原因**：
+
+- `chat_id` 提取不正确
+- Copilot 端会话过期
+- `INFINITE_SESSION=False`（会话不持久）
+
+**解决方案**：
+
+```python
+# 检查调试日志中的：
+"提取的 ChatID：<id>（来源：...）"
+"会话 <id> 未找到（...），正在创建新会话。"
+```
+
+#### 2. 系统提示词未应用
+
+**症状**：模型忽略配置的系统提示词  
+**原因**：
+
+- 在 4 个来源中均未找到
+- 会话已恢复（系统提示词仅在创建时设置）
+
+**解决方案**：
+
+```python
+# 检查调试日志中的：
+"从 <source> 提取系统提示词（长度：X）"
+"配置系统消息（模式：append）"
+```
+
+#### 3. 工具不可用
+
+**症状**：模型无法使用自定义工具  
+**原因**：
+
+- `ENABLE_TOOLS=False`
+- 工具未在 `_initialize_custom_tools` 中注册
+- 错误的 `AVAILABLE_TOOLS` 过滤器
+
+**解决方案**：
+
+```python
+# 检查调试日志中的：
+"已启用 X 个自定义工具：['tool1', 'tool2']"
+```
+
+---
+
+## 性能优化
+
+### 模型列表缓存
+
+```python
+# 第一次请求：从 API 获取
+models = await client.list_models()
+self._model_cache = [...]  # 缓存结果
+
+# 后续请求：使用缓存
+if self._model_cache:
+    return self._model_cache
+```
+
+### 会话持久化
+
+**影响**：消除每次请求的冗余模型初始化
+
+```python
+# 没有会话：
+# 每次请求：初始化模型 → 加载上下文 → 生成 → 丢弃
+
+# 有会话（chat_id）：
+# 第一次请求：初始化模型 → 加载上下文 → 生成 → 保存
+# 后续：恢复 → 生成（即时）
+```
+
+### 流式 vs 非流式
+
+**流式：**
+
+- 降低感知延迟（首个 token 更快）
+- 长响应的更好用户体验
+- 通过生成器退出进行资源清理
+
+**非流式：**
+
+- 更简单的错误处理
+- 原子响应（无部分输出）
+- 用于短响应
+
+---
+
+## 安全考虑
+
+### 令牌保护
+
+```python
+# ❌ 永远不要记录令牌
+logger.debug(f"令牌：{self.valves.GH_TOKEN}")  # 不要这样做
+
+# ✅ 屏蔽敏感数据
+logger.debug(f"令牌已配置：{'*' * 10}")
+```
+
+### 工作区隔离
+
+```python
+# 设置 WORKSPACE_DIR 以限制文件访问
+WORKSPACE_DIR = "/safe/sandbox/path"
+
+# Copilot CLI 遵守此目录
+client_config["cwd"] = WORKSPACE_DIR
+```
+
+### 输入验证
+
+```python
+# 验证 chat_id 格式
+if chat_id and not re.match(r'^[a-zA-Z0-9_-]+$', chat_id):
+    logger.warning(f"无效的 chat_id 格式：{chat_id}")
+    chat_id = None
+```
+
+---
+
+## 未来增强
+
+### 计划功能
+
+1. **多会话管理**：支持每个用户的多个并行会话
+2. **会话分析**：跟踪 token 使用率、压缩频率
+3. **工具结果缓存**：避免冗余工具调用
+4. **自定义事件过滤器**：用户可配置的事件处理
+5. **工作区模板**：预配置的工作区环境
+6. **流式中止**：优雅取消长时间运行的请求
+
+### API 演进
+
+监控 Copilot SDK 更新：
+
+- 新事件类型（例如 `assistant.function_call`）
+- 增强的工具功能
+- 改进的会话序列化
+
+---
+
+## 参考资料
+
+- [GitHub Copilot SDK 文档](https://github.com/github/copilot-sdk)
+- [OpenWebUI Pipe 开发](https://docs.openwebui.com/)
+- [Awesome OpenWebUI 项目](https://github.com/Fu-Jie/awesome-openwebui)
+
+---
+
+**许可证**：MIT  
+**维护者**：Fu-Jie ([@Fu-Jie](https://github.com/Fu-Jie))

plugins/debug/github-copilot-sdk/test_capabilities.py

@@ -0,0 +1,124 @@
+import asyncio
+import os
+import json
+import sys
+from copilot import CopilotClient, define_tool
+from copilot.types import SessionConfig
+from pydantic import BaseModel, Field
+
+
+# Define a simple tool for testing
+class RandomNumberParams(BaseModel):
+    min: int = Field(description="Minimum value")
+    max: int = Field(description="Maximum value")
+
+
+@define_tool(description="Generate a random integer within a range.")
+async def generate_random_number(params: RandomNumberParams) -> str:
+    import random
+
+    return f"Result: {random.randint(params.min, params.max)}"
+
+
+async def main():
+    print(f"Running tests with Python: {sys.executable}")
+
+    # 1. Setup Client
+    client = CopilotClient({"log_level": "error"})
+    await client.start()
+
+    try:
+        print("\n=== Test 1: Session Creation & Formatting Injection ===")
+        # Use gpt-4o or similar capable model
+        model_id = "gpt-5-mini"
+
+        system_message_config = {
+            "mode": "append",
+            "content": "You are a test assistant. Always start your response with 'TEST_PREFIX: '.",
+        }
+
+        session_config = SessionConfig(
+            model=model_id,
+            system_message=system_message_config,
+            tools=[generate_random_number],
+        )
+
+        session = await client.create_session(config=session_config)
+        session_id = session.session_id
+        print(f"Session Created: {session_id}")
+
+        # Test 1.1: Check system prompt effect
+        resp = await session.send_and_wait(
+            {"prompt": "Say hello.", "mode": "immediate"}
+        )
+        content = resp.data.content
+        print(f"Response 1: {content}")
+
+        if "TEST_PREFIX:" in content:
+            print("✅ System prompt injection active.")
+        else:
+            print("⚠️ System prompt injection NOT detected.")
+
+        print("\n=== Test 2: Tool Execution ===")
+        # Test Tool Usage
+        prompt_with_tool = (
+            "Generate a random number between 100 and 200 using the tool."
+        )
+        print(f"Sending: {prompt_with_tool}")
+
+        # We need to listen to events to verify tool execution,
+        # but send_and_wait handles it internally and returns the final answer.
+        # We check if the final answer mentions the result.
+
+        resp_tool = await session.send_and_wait(
+            {"prompt": prompt_with_tool, "mode": "immediate"}
+        )
+        tool_content = resp_tool.data.content
+        print(f"Response 2: {tool_content}")
+
+        if "Result:" in tool_content or any(char.isdigit() for char in tool_content):
+            print("✅ Tool likely executed (numbers found).")
+        else:
+            print("⚠️ Tool execution uncertain.")
+
+        print("\n=== Test 3: Context Retention (Memory) ===")
+        # Store a fact
+        await session.send_and_wait(
+            {"prompt": "My secret code is 'BLUE-42'. Remember it.", "mode": "immediate"}
+        )
+        print("Fact sent.")
+
+        # Retrieve it
+        resp_mem = await session.send_and_wait(
+            {"prompt": "What is my secret code?", "mode": "immediate"}
+        )
+        mem_content = resp_mem.data.content
+        print(f"Response 3: {mem_content}")
+
+        if "BLUE-42" in mem_content:
+            print("✅ Context retention successful.")
+        else:
+            print("⚠️ Context retention failed.")
+
+        # Cleanup
+        await session.destroy()
+
+        print("\n=== Test 4: Resume Session (Simulation) ===")
+        # Note: Actual resuming depends on backend persistence.
+        # The SDK's client.resume_session(id) tries to find it.
+        # Since we destroyed it above, we expect failure or new session logic in real app.
+        # But let's create a new one to persist, close client, and try to resume if process was same?
+        # Actually persistence usually requires the Copilot Agent/Extension host to keep state or file backed.
+        # The Python SDK defaults to file-based workspace in standard generic usage?
+        # Let's just skip complex resume testing for this simple script as it depends on environment (vscode-chat-session vs file).
+        print("Skipping complex resume test in script.")
+
+    except Exception as e:
+        print(f"Test Failed: {e}")
+    finally:
+        await client.stop()
+        print("\nTests Completed.")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

plugins/debug/github-copilot-sdk/test_injection.py

@@ -0,0 +1,94 @@
+import asyncio
+import os
+import sys
+import json
+from copilot import CopilotClient
+from copilot.types import SessionConfig
+
+# Define the formatting instruction exactly as in the plugin
+FORMATTING_INSTRUCTION = (
+    "\n\n[Formatting Guidelines]\n"
+    "When providing explanations or descriptions:\n"
+    "- Use clear paragraph breaks (double line breaks)\n"
+    "- Break long sentences into multiple shorter ones\n"
+    "- Use bullet points or numbered lists for multiple items\n"
+    "- Add headings (##, ###) for major sections\n"
+    "- Ensure proper spacing between different topics"
+)
+
+
+async def main():
+    print(f"Python executable: {sys.executable}")
+
+    # Check for GH_TOKEN
+    token = os.environ.get("GH_TOKEN")
+    if token:
+        print("GH_TOKEN is set.")
+    else:
+        print(
+            "Warning: GH_TOKEN not found in environment variables. Relying on CLI auth."
+        )
+
+    client_config = {"log_level": "debug"}
+
+    client = CopilotClient(client_config)
+
+    try:
+        print("Starting client...")
+        await client.start()
+
+        # Test 1: Check available models
+        try:
+            models = await client.list_models()
+            print(f"Connection successful. Found {len(models)} models.")
+            model_id = "gpt-5-mini"  # User requested model
+        except Exception as e:
+            print(f"Failed to list models: {e}")
+            return
+
+        print(f"\nCreating session with model {model_id} and system injection...")
+
+        system_message_config = {
+            "mode": "append",
+            "content": "You are a helpful assistant." + FORMATTING_INSTRUCTION,
+        }
+
+        session_config = SessionConfig(
+            model=model_id, system_message=system_message_config
+        )
+
+        session = await client.create_session(config=session_config)
+        print(f"Session created: {session.session_id}")
+
+        # Test 2: Ask the model to summarize its instructions
+        prompt = "Please summarize the [Formatting Guidelines] you have been given in a list."
+
+        print(f"\nSending prompt: '{prompt}'")
+        response = await session.send_and_wait({"prompt": prompt, "mode": "immediate"})
+
+        print("\n--- Model Response ---")
+        content = response.data.content if response and response.data else "No content"
+        print(content)
+        print("----------------------")
+
+        required_keywords = ["paragraph", "break", "heading", "spacing", "bullet"]
+        found_keywords = [kw for kw in required_keywords if kw in content.lower()]
+
+        if len(found_keywords) >= 3:
+            print(
+                f"\n✅ SUCCESS: Model summarized the guidelines correctly. Found match for: {found_keywords}"
+            )
+        else:
+            print(
+                f"\n⚠️ UNCERTAIN: Summary might be generic. Found keywords: {found_keywords}"
+            )
+
+    except Exception as e:
+        print(f"\nError: {e}")
+    finally:
+        await client.stop()
+        print("\nClient stopped.")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

plugins/debug/language-debug/language_debug.py

@@ -0,0 +1,359 @@
+"""
+title: UI Language Debugger
+author: Fu-Jie
+author_url: https://github.com/Fu-Jie/awesome-openwebui
+funding_url: https://github.com/open-webui
+version: 0.1.0
+icon_url: data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9ImN1cnJlbnRDb2xvciIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiPgogIDxwYXRoIGQ9Im01IDggNiA2Ii8+CiAgPHBhdGggZD0ibTQgMTQgNi02IDItMiIvPgogIDxwYXRoIGQ9Ik0yIDVoMTIiLz4KICA8cGF0aCBkPSJNNyAyaDEiLz4KICA8cGF0aCBkPSJtMjIgMjItNS0xMC01IDEwIi8+CiAgPHBhdGggZD0iTTE0IDE4aDYiLz4KPC9zdmc+Cg==
+description: Debug UI language detection in the browser console and on-page panel.
+"""
+
+import json
+import logging
+from typing import Optional, Dict, Any, Callable, Awaitable
+from pydantic import BaseModel, Field
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
+)
+logger = logging.getLogger(__name__)
+
+HTML_WRAPPER_TEMPLATE = """
+<!-- OPENWEBUI_PLUGIN_OUTPUT -->
+<!DOCTYPE html>
+<html lang="{user_language}">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
+            margin: 0;
+            padding: 10px;
+            background-color: transparent;
+        }
+        #main-container {
+            display: flex;
+            flex-direction: column;
+            gap: 16px;
+            width: 100%;
+            max-width: 100%;
+        }
+        /* STYLES_INSERTION_POINT */
+    </style>
+</head>
+<body>
+    <div id="main-container">
+        <!-- CONTENT_INSERTION_POINT -->
+    </div>
+    <!-- SCRIPTS_INSERTION_POINT -->
+</body>
+</html>
+"""
+
+CONTENT_TEMPLATE = """
+<div class="lang-debug-card" id="lang-debug-card-{unique_id}">
+    <div class="lang-debug-header">
+        🧭 UI Language Debugger
+    </div>
+    <div class="lang-debug-body">
+        <div class="lang-debug-row"><span>python.ui_language</span><code id="lang-py-{unique_id}">{python_language}</code></div>
+        <div class="lang-debug-row"><span>document.documentElement.lang</span><code id="lang-html-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>document.documentElement.getAttribute('lang')</span><code id="lang-attr-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>document.documentElement.dir</span><code id="lang-dir-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>document.body.lang</span><code id="lang-body-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>navigator.language</span><code id="lang-nav-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>navigator.languages</span><code id="lang-navs-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>localStorage.language</span><code id="lang-store-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>localStorage.locale</span><code id="lang-locale-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>localStorage.i18n</span><code id="lang-i18n-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>localStorage.settings</span><code id="lang-settings-{unique_id}">-</code></div>
+        <div class="lang-debug-row"><span>document.documentElement.dataset</span><code id="lang-dataset-{unique_id}">-</code></div>
+    </div>
+</div>
+"""
+
+STYLE_TEMPLATE = """
+.lang-debug-card {
+    border: 1px solid #e2e8f0;
+    border-radius: 12px;
+    background: #ffffff;
+    overflow: hidden;
+    box-shadow: 0 2px 10px rgba(15, 23, 42, 0.06);
+}
+.lang-debug-header {
+    padding: 12px 16px;
+    background: linear-gradient(135deg, #6366f1, #8b5cf6);
+    color: #fff;
+    font-weight: 600;
+}
+.lang-debug-body {
+    padding: 12px 16px;
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+}
+.lang-debug-row {
+    display: flex;
+    justify-content: space-between;
+    gap: 12px;
+    font-size: 0.9em;
+    color: #1f2937;
+}
+.lang-debug-row code {
+    background: #f8fafc;
+    border: 1px solid #e2e8f0;
+    padding: 2px 6px;
+    border-radius: 6px;
+    color: #0f172a;
+}
+"""
+
+SCRIPT_TEMPLATE = """
+<script>
+(function() {{
+    const uniqueId = "{unique_id}";
+    const get = (id) => document.getElementById(id + '-' + uniqueId);
+
+    const safe = (value) => {
+        if (value === undefined || value === null || value === "") return "-";
+        if (Array.isArray(value)) return value.join(", ");
+        if (typeof value === "object") return JSON.stringify(value);
+        return String(value);
+    };
+
+    const safeJson = (value) => {
+        try {
+            return value ? JSON.stringify(JSON.parse(value)) : "-";
+        } catch (e) {
+            return value ? String(value) : "-";
+        }
+    };
+
+    const settingsRaw = localStorage.getItem('settings');
+    const i18nRaw = localStorage.getItem('i18n');
+    const localeRaw = localStorage.getItem('locale');
+
+    const payload = {{
+        htmlLang: document.documentElement.lang,
+        htmlAttr: document.documentElement.getAttribute('lang'),
+        htmlDir: document.documentElement.dir,
+        bodyLang: document.body ? document.body.lang : "",
+        navigatorLanguage: navigator.language,
+        navigatorLanguages: navigator.languages,
+        localStorageLanguage: localStorage.getItem('language'),
+        localStorageLocale: localeRaw,
+        localStorageI18n: i18nRaw,
+        localStorageSettings: settingsRaw,
+        htmlDataset: document.documentElement.dataset,
+    }};
+
+    get('lang-html').textContent = safe(payload.htmlLang);
+    get('lang-attr').textContent = safe(payload.htmlAttr);
+    get('lang-dir').textContent = safe(payload.htmlDir);
+    get('lang-body').textContent = safe(payload.bodyLang);
+    get('lang-nav').textContent = safe(payload.navigatorLanguage);
+    get('lang-navs').textContent = safe(payload.navigatorLanguages);
+    get('lang-store').textContent = safe(payload.localStorageLanguage);
+    get('lang-locale').textContent = safe(payload.localStorageLocale);
+    get('lang-i18n').textContent = safeJson(payload.localStorageI18n);
+    get('lang-settings').textContent = safeJson(payload.localStorageSettings);
+    get('lang-dataset').textContent = safe(payload.htmlDataset);
+
+    console.group('🧭 UI Language Debugger');
+    console.log(payload);
+    console.groupEnd();
+}})();
+</script>
+"""
+
+
+class Action:
+    class Valves(BaseModel):
+        SHOW_STATUS: bool = Field(
+            default=True,
+            description="Whether to show operation status updates.",
+        )
+        SHOW_DEBUG_LOG: bool = Field(
+            default=True,
+            description="Whether to print debug logs in the browser console.",
+        )
+
+    def __init__(self):
+        self.valves = self.Valves()
+
+    def _get_user_context(self, __user__: Optional[Dict[str, Any]]) -> Dict[str, str]:
+        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", ""),
+        }
+
+    def _get_chat_context(
+        self, body: dict, __metadata__: Optional[dict] = None
+    ) -> Dict[str, str]:
+        chat_id = ""
+        message_id = ""
+
+        if isinstance(body, dict):
+            chat_id = body.get("chat_id", "")
+            message_id = body.get("id", "")
+
+            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 __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,
+    ):
+        if self.valves.SHOW_STATUS and emitter:
+            await emitter(
+                {"type": "status", "data": {"description": description, "done": done}}
+            )
+
+    async def _emit_debug_log(
+        self,
+        emitter: Optional[Callable[[Any], Awaitable[None]]],
+        title: str,
+        data: dict,
+    ):
+        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:
+            logger.error("Error emitting debug log: %s", e, exc_info=True)
+
+    def _merge_html(
+        self,
+        existing_html: str,
+        new_content: str,
+        new_styles: str = "",
+        new_scripts: str = "",
+        user_language: str = "en-US",
+    ) -> str:
+        if not existing_html:
+            base_html = HTML_WRAPPER_TEMPLATE.replace("{user_language}", user_language)
+        else:
+            base_html = existing_html
+
+        if "<!-- CONTENT_INSERTION_POINT -->" in base_html:
+            base_html = base_html.replace(
+                "<!-- CONTENT_INSERTION_POINT -->",
+                f"{new_content}\n        <!-- CONTENT_INSERTION_POINT -->",
+            )
+
+        if new_styles and "/* STYLES_INSERTION_POINT */" in base_html:
+            base_html = base_html.replace(
+                "/* STYLES_INSERTION_POINT */",
+                f"{new_styles}\n        /* STYLES_INSERTION_POINT */",
+            )
+
+        if new_scripts and "<!-- SCRIPTS_INSERTION_POINT -->" in base_html:
+            base_html = base_html.replace(
+                "<!-- SCRIPTS_INSERTION_POINT -->",
+                f"{new_scripts}\n    <!-- SCRIPTS_INSERTION_POINT -->",
+            )
+
+        return base_html
+
+    async def action(
+        self,
+        body: dict,
+        __user__: Optional[Dict[str, Any]] = None,
+        __event_emitter__: Optional[Any] = None,
+        __event_call__: Optional[Callable[[Any], Awaitable[None]]] = None,
+        __metadata__: Optional[dict] = None,
+        __request__: Optional[Any] = None,
+    ) -> Optional[dict]:
+        await self._emit_status(__event_emitter__, "Detecting UI language...", False)
+
+        user_ctx = self._get_user_context(__user__)
+        await self._emit_debug_log(
+            __event_emitter__,
+            "Language Debugger: user context",
+            user_ctx,
+        )
+
+        ui_language = ""
+        if __event_call__:
+            try:
+                response = await __event_call__(
+                    {
+                        "type": "execute",
+                        "data": {
+                            "code": "return (localStorage.getItem('locale') || localStorage.getItem('language') || (navigator.languages && navigator.languages[0]) || navigator.language || document.documentElement.lang || '')",
+                        },
+                    }
+                )
+                await self._emit_debug_log(
+                    __event_emitter__,
+                    "Language Debugger: execute response",
+                    {"response": response},
+                )
+                if isinstance(response, dict) and "value" in response:
+                    ui_language = response.get("value", "") or ""
+                elif isinstance(response, str):
+                    ui_language = response
+            except Exception as e:
+                logger.error(
+                    "Failed to read UI language from frontend: %s", e, exc_info=True
+                )
+
+        unique_id = f"lang_{int(__import__('time').time() * 1000)}"
+        content_html = CONTENT_TEMPLATE.replace("{unique_id}", unique_id).replace(
+            "{python_language}", ui_language or "-"
+        )
+        script_html = SCRIPT_TEMPLATE.replace("{unique_id}", unique_id)
+        script_html = script_html.replace("{{", "{").replace("}}", "}")
+
+        final_html = self._merge_html(
+            "",
+            content_html,
+            STYLE_TEMPLATE,
+            script_html,
+            "en",
+        )
+
+        html_embed_tag = f"```html\n{final_html}\n```"
+        body["messages"][-1]["content"] = (
+            body["messages"][-1].get("content", "") + "\n\n" + html_embed_tag
+        )
+
+        await self._emit_status(__event_emitter__, "UI language captured.", True)
+        return body

plugins/filters/README.md

@@ -48,7 +48,3 @@ When adding a new filter, please follow these steps:
 
 Fu-Jie
 GitHub: [Fu-Jie/awesome-openwebui](https://github.com/Fu-Jie/awesome-openwebui)
-
-## License
-
-MIT License