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25
.agent/learnings/github-copilot-sdk-stream-finalization.md
Normal file
25
.agent/learnings/github-copilot-sdk-stream-finalization.md
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@@ -0,0 +1,25 @@
|
||||
# GitHub Copilot SDK Stream Finalization
|
||||
|
||||
> Discovered: 2026-03-20
|
||||
|
||||
## Context
|
||||
Applies to `plugins/pipes/github-copilot-sdk/github_copilot_sdk.py` when streaming assistant output, handling `pending_embeds`, and waiting for `session.idle`.
|
||||
|
||||
## Finding
|
||||
Two non-obvious issues can make the pipe feel permanently stuck even when useful work already finished:
|
||||
|
||||
1. If the main `queue.get()` wait uses the full user-configured `TIMEOUT` (for example 300s), watchdog logic, "still working" status updates, and synthetic finalization checks only wake up at that same coarse interval.
|
||||
2. If `pending_embeds` are flushed only in the `session.idle` branch, any timeout/error/missing-idle path can lose already-prepared embeds even though file publishing itself succeeded.
|
||||
|
||||
## Solution / Pattern
|
||||
- Keep the *inactivity limit* controlled by `TIMEOUT`, but poll the local stream queue on a short fixed cadence (for example max 5s) so watchdogs and fallback finalization stay responsive.
|
||||
- Track `assistant.turn_end`; if `session.idle` does not arrive shortly afterward, synthesize finalization instead of waiting for the full inactivity timeout.
|
||||
- Flush `pending_embeds` exactly once via a shared helper that can run from both normal idle finalization and error/timeout finalization paths.
|
||||
- For streamed text/reasoning, use conservative overlap trimming: only strip an overlapping prefix when the incoming chunk still contains new suffix content. Do not drop fully repeated chunks blindly, or legitimate repeated text can be corrupted.
|
||||
|
||||
## Gotchas
|
||||
- RichUI embed success and streamed-text success are separate paths; a file can be published correctly while chat output still hangs or duplicates.
|
||||
- If `assistant.reasoning_delta` is streamed, the later complete `assistant.reasoning` event must be suppressed just like `assistant.message`, or the thinking block can duplicate.
|
||||
|
||||
## 🛠️ Update 2026-03-21
|
||||
- **Fixed Stream Duplication**: Fixed text stream overlays (e.g., `🎉 删 🎉 删除成功`) when resuming conversation session. Strictly applied `_dedupe_stream_chunk(delta, "message_stream_tail")` inside `assistant.message_delta` event handler to prevent concurrent history re-play or multiple stream delivery bug overlays, solving previous gaps in the deployment pipeline.
|
||||
30
.agent/learnings/richui-theme-source-separation.md
Normal file
30
.agent/learnings/richui-theme-source-separation.md
Normal file
@@ -0,0 +1,30 @@
|
||||
# RichUI Theme Source Separation
|
||||
|
||||
> Discovered: 2026-03-20
|
||||
|
||||
## Context
|
||||
Applies to the RichUI bridge in `plugins/pipes/github-copilot-sdk/github_copilot_sdk.py` when syncing iframe or standalone HTML theme with OpenWebUI.
|
||||
|
||||
## Finding
|
||||
Theme detection must not read back bridge-applied local theme markers as if they were the upstream source of truth.
|
||||
|
||||
If the bridge writes `html[data-theme]` or `html.dark` in standalone/current-document mode and then also reads those same markers during detection, the theme can self-latch and stop following real source changes such as `meta[name="theme-color"]` updates or `prefers-color-scheme` changes.
|
||||
|
||||
## Solution / Pattern
|
||||
Keep theme **detection** and theme **application** separate.
|
||||
|
||||
When embedded in OpenWebUI, follow the same stable detection order used by `smart-mind-map`:
|
||||
|
||||
1. `parent document` `meta[name="theme-color"]`
|
||||
2. `parent document` `html/body` class or `html[data-theme]`
|
||||
3. `prefers-color-scheme`
|
||||
|
||||
Only if there is no accessible parent document should the bridge fall back to the current document's `meta[name="theme-color"]` and `html/body` theme signals.
|
||||
|
||||
- Always write the resolved theme to a dedicated bridge marker such as `data-openwebui-applied-theme`.
|
||||
- Only mirror generic `html[data-theme]` / `html.dark` markers when a real parent document exists, so standalone fallback does not pollute its own detection source.
|
||||
- If internal widget CSS needs dark-mode styling in standalone mode, target the dedicated marker too (for example `html[data-openwebui-applied-theme="dark"]`).
|
||||
|
||||
## Gotchas
|
||||
- Watching `style` mutations is unnecessary once detection no longer reads computed style or inline color-scheme.
|
||||
- If standalone mode needs to honor page-owned `html.dark` or `html[data-theme]`, do not overwrite those markers just to style the bridge itself; use the dedicated bridge marker instead.
|
||||
30
README.md
30
README.md
@@ -23,12 +23,12 @@ A collection of enhancements, plugins, and prompts for [open-webui](https://gith
|
||||
### 🔥 Top 6 Popular Plugins
|
||||
| Rank | Plugin | Version | Downloads | Views | 📅 Updated |
|
||||
| :---: | :--- | :---: | :---: | :---: | :---: |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 5️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 5️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
|
||||
### 📈 Total Downloads Trend
|
||||
|
||||
@@ -38,21 +38,23 @@ A collection of enhancements, plugins, and prompts for [open-webui](https://gith
|
||||
|
||||
## 🌟 Star Features
|
||||
|
||||
### 1. [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4)    
|
||||
### 1. [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4)    
|
||||
|
||||
**The ultimate autonomous Agent integration for OpenWebUI.** Deeply bridging GitHub Copilot SDK with your OpenWebUI ecosystem. It enables the Agent to autonomously perform **intent recognition**, **web search**, and **context compaction** while reusing your existing tools, skills, and configurations for a professional, full-featured experience.
|
||||
|
||||
> [!TIP]
|
||||
> **No GitHub Copilot subscription required!** Supports **BYOK (Bring Your Own Key)** mode using your own OpenAI/Anthropic API keys.
|
||||
|
||||
#### 🚀 Key Leap (v0.10.0)
|
||||
#### 🚀 Key Leap (v0.12.0)
|
||||
|
||||
- **⌨️ Prompt Enhancement**: Restored native Copilot CLI **Plan Mode** for complex tasks and integrated native SQLite-backed session management for robust state persistence.
|
||||
- **📋 Live TODO Widget**: Added a compact real-time task tracking widget synchronized with `session.db`, keeping in-progress work visible without cluttering the chat history.
|
||||
- **🔌 Seamless Ecosystem Integration**: Automatically injects and reuses your OpenWebUI **Tools**, **MCP**, **OpenAPI Servers**, and **Skills**, significantly enhancing the Agent's capabilities through your existing setup.
|
||||
- **🚀 High-Performance Shared Pool**: Eliminated 1-2s process startup latency between turns via a persistent client pool.
|
||||
- **🔑 Pure BYOK Mode**: Now supports full operation without a `GH_TOKEN`, relying solely on custom API keys.
|
||||
- **📏 RichUI Stability**: Fixed height calculation issues for a rock-solid interactive component experience.
|
||||
- **🩺 Smart Stall Detection**: Integrated `client.ping()` to rescue heavy tasks from premature timeouts.
|
||||
- **📋 Live TODO Widget**: Compact real-time task tracking synchronized with `session.db`, now automatically hidden when all tasks are completed.
|
||||
- **🔌 Seamless Ecosystem Integration**: Automatically injects and reuses your OpenWebUI **Tools**, **MCP**, **OpenAPI Servers**, and **Skills**.
|
||||
- **🌐 Language Consistency**: System prompts mandate that Agent output language remains strictly consistent with user input.
|
||||
- **🧩 Skills Revolution**: Native support for **SKILL directories** and a **Bidirectional Bridge** to OpenWebUI Workspace Skills.
|
||||
- **🛡️ Secure Isolation**: Strict user/session-level **Workspace Sandboxing** with persistent configuration.
|
||||
- **🛡️ Secure Isolation**: Strict user/session-level **Workspace Sandboxing** with user-isolated environment variables.
|
||||
- **📊 Interactive Delivery**: Full support for **HTML Artifacts** and **RichUI** rendering, providing instant interactive previews and persistent downloadable results.
|
||||
- **🛠️ Deterministic Toolchain**: Built-in specialized tools for skill lifecycles (`manage_skills`) and system optimization.
|
||||
|
||||
@@ -131,7 +133,7 @@ Located in the `plugins/` directory, containing Python-based enhancements:
|
||||
|
||||
### Pipes
|
||||
|
||||
- **GitHub Copilot SDK** (`github-copilot-sdk`): Official GitHub Copilot SDK integration. Supports dynamic models (GPT-4o, Claude 3.5, o1), multi-turn conversation, streaming, and infinite sessions.
|
||||
- **GitHub Copilot SDK** (`github-copilot-sdk`): Official GitHub Copilot SDK integration (v0.12.0). Supports dynamic models (GPT-4o, Claude 3.7, o1), multi-turn conversation, and high-performance process pooling.
|
||||
|
||||
### Pipelines
|
||||
|
||||
|
||||
32
README_CN.md
32
README_CN.md
@@ -20,12 +20,12 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
### 🔥 热门插件 Top 6
|
||||
| 排名 | 插件 | 版本 | 下载 | 浏览 | 📅 更新 |
|
||||
| :---: | :--- | :---: | :---: | :---: | :---: |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 5️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
| 🥇 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) |  |  |  |  |
|
||||
| 🥈 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) |  |  |  |  |
|
||||
| 🥉 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) |  |  |  |  |
|
||||
| 4️⃣ | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) |  |  |  |  |
|
||||
| 5️⃣ | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) |  |  |  |  |
|
||||
| 6️⃣ | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) |  |  |  |  |
|
||||
|
||||
### 📈 总下载量累计趋势
|
||||
|
||||
@@ -42,16 +42,16 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
> [!TIP]
|
||||
> **无需 GitHub Copilot 订阅！** 支持 **BYOK (Bring Your Own Key)** 模式，使用你自己的 OpenAI/Anthropic API Key。
|
||||
|
||||
#### 🚀 核心进化 (v0.10.1)
|
||||
#### 🚀 核心进化 (v0.12.0)
|
||||
|
||||
- **⌨️ 提示词增强**：恢复了原生 Copilot CLI **原生计划模式 (Native Plan Mode)**，并集成了基于 SQLite 的原生会话持久化管理，确保复杂任务编排与状态追踪的稳定性。
|
||||
- **📋 Live TODO 小组件**：新增基于 `session.db` 实时任务状态的紧凑型嵌入式 TODO 小组件，任务进度常驻可见，无需在正文中重复显示全部待办列表。
|
||||
- **🔌 生态深度注入**: 自动读取并复用 OpenWebUI **工具 (Tools)**、**MCP**、**OpenAPI Server** 与 **技能 (Skills)**，显著增强 Agent 的实战能力。
|
||||
- **🧩 技能革命**: 原生支持 **SKILL 目录**，并实现与 OpenWebUI **工作区 > Skills** 的深度双向桥接。
|
||||
- **🛡️ 安全沙箱**: 严格的用户/会话级 **工作区隔离** 与持久化配置环境。
|
||||
- **📊 交互交付**: 完整支持 **HTML Artifacts** 与 **RichUI** 渲染，提供即时预览交互式应用程序与持久化结果下载。
|
||||
- **🛠️ 确定性工具链**: 内置 `manage_skills` 等专业工具，赋予 Agent 完整的技能生命周期管理能力。
|
||||
- **🌐 语言一致性**: 提示词强制要求 Agent 输出语言与用户输入保持一致，确保国际化体验。
|
||||
- **🚀 高性能共享池**：通过单例进程池消除了对话间 1-2 秒的进程冷启动延迟，响应更迅速。
|
||||
- **🔑 纯 BYOK 模式支持**：解除对 `GH_TOKEN` 的强制依赖，仅凭自定义 API Key 即可完整运行。
|
||||
- **📏 RichUI 稳定性修复**：彻底解决高度计算循环导致的页面无限变高问题，交互体验更稳固。
|
||||
- **🩺 智能防挂死探测**：在超时判断中引入 `client.ping()` 探测机制，有效减少复杂任务下的误杀中断。
|
||||
- **📋 Live TODO 小组件**：基于 `session.db` 实时任务状态，现在所有任务完成后将自动隐藏 UI，保持界面整洁。
|
||||
- **🔌 生态深度注入**: 自动读取并复用 OpenWebUI **工具 (Tools)**、**MCP**、**OpenAPI Server** 与 **技能 (Skills)**。
|
||||
- **🛡️ 安全沙箱**: 严格的用户/会话级 **工作区隔离**，并实现用户级环境变量隔离。
|
||||
- **🌐 语言一致性**: 提示词强制要求 Agent 输出语言与用户输入保持一致。
|
||||
|
||||
> [!TIP]
|
||||
> **💡 进阶实战建议**
|
||||
@@ -128,7 +128,7 @@ OpenWebUI 增强功能集合。包含个人开发与收集的插件、提示词
|
||||
|
||||
### Pipes (模型管道)
|
||||
|
||||
- **GitHub Copilot SDK** (`github-copilot-sdk`): 深度集成 GitHub Copilot SDK 的强大 Agent。支持智能意图识别、自主网页搜索与上下文压缩，并能够无缝复用 OpenWebUI 的工具 (Tools)、MCP 与 OpenAPI Server。
|
||||
- **GitHub Copilot SDK** (`github-copilot-sdk`): 深度集成 GitHub Copilot SDK 的强大 Agent (v0.12.0)。支持高性能进程池优化、纯 BYOK 模式、智能意图识别、自主网页搜索与上下文压缩。
|
||||
|
||||
### Pipelines (工作流管道)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "downloads",
|
||||
"message": "9.5k",
|
||||
"message": "10.2k",
|
||||
"color": "blue",
|
||||
"namedLogo": "openwebui"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "followers",
|
||||
"message": "367",
|
||||
"message": "396",
|
||||
"color": "blue"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "points",
|
||||
"message": "378",
|
||||
"message": "398",
|
||||
"color": "orange"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "saves",
|
||||
"message": "428",
|
||||
"message": "449",
|
||||
"color": "lightgrey"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "upvotes",
|
||||
"message": "315",
|
||||
"message": "340",
|
||||
"color": "brightgreen"
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"schemaVersion": 1,
|
||||
"label": "views",
|
||||
"message": "99.8k",
|
||||
"message": "109.4k",
|
||||
"color": "blueviolet"
|
||||
}
|
||||
@@ -1,16 +1,16 @@
|
||||
{
|
||||
"total_posts": 28,
|
||||
"total_downloads": 9491,
|
||||
"total_views": 99759,
|
||||
"total_upvotes": 315,
|
||||
"total_downvotes": 4,
|
||||
"total_saves": 428,
|
||||
"total_comments": 79,
|
||||
"total_downloads": 10214,
|
||||
"total_views": 109390,
|
||||
"total_upvotes": 340,
|
||||
"total_downvotes": 16,
|
||||
"total_saves": 449,
|
||||
"total_comments": 84,
|
||||
"plugin_contributions": 21,
|
||||
"by_type": {
|
||||
"action": 13,
|
||||
"tool": 2,
|
||||
"pipe": 1,
|
||||
"tool": 3,
|
||||
"action": 12,
|
||||
"filter": 4,
|
||||
"prompt": 1
|
||||
},
|
||||
@@ -22,14 +22,14 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
"downloads": 1852,
|
||||
"views": 15897,
|
||||
"upvotes": 32,
|
||||
"saves": 77,
|
||||
"downloads": 1969,
|
||||
"views": 17206,
|
||||
"upvotes": 34,
|
||||
"saves": 79,
|
||||
"comments": 23,
|
||||
"is_published_plugin": true,
|
||||
"created_at": "2025-12-30",
|
||||
"updated_at": "2026-03-15",
|
||||
"updated_at": "2026-03-16",
|
||||
"url": "https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a"
|
||||
},
|
||||
{
|
||||
@@ -39,14 +39,14 @@
|
||||
"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": 1392,
|
||||
"views": 13891,
|
||||
"upvotes": 28,
|
||||
"saves": 54,
|
||||
"downloads": 1470,
|
||||
"views": 14788,
|
||||
"upvotes": 29,
|
||||
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@@ -497,11 +497,11 @@
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"name": "Fu-Jie",
|
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"profile_url": "https://openwebui.com/u/Fu-Jie",
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||||
"profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
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}
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}
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@@ -1,16 +1,16 @@
|
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{
|
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|
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},
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@@ -22,10 +22,10 @@
|
||||
"version": "1.0.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
||||
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|
||||
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|
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"created_at": "2025-12-30",
|
||||
@@ -39,8 +39,8 @@
|
||||
"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.",
|
||||
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|
||||
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|
||||
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@@ -56,8 +56,8 @@
|
||||
"version": "1.2.8",
|
||||
"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. Including LaTeX command protection.",
|
||||
"downloads": 867,
|
||||
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|
||||
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@@ -73,8 +73,8 @@
|
||||
"version": "1.5.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Reduces token consumption in long conversations while maintaining coherence through intelligent summarization and message compression.",
|
||||
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|
||||
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|
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|
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@@ -90,8 +90,8 @@
|
||||
"version": "0.4.4",
|
||||
"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": 819,
|
||||
"views": 6315,
|
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|
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@@ -107,8 +107,8 @@
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|
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@@ -124,8 +124,8 @@
|
||||
"version": "0.3.7",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Extracts tables from chat messages and exports them to Excel (.xlsx) files with smart formatting.",
|
||||
"downloads": 625,
|
||||
"views": 3591,
|
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|
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@@ -141,10 +141,10 @@
|
||||
"version": "0.3.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Standalone OpenWebUI tool for managing native Workspace Skills (list/show/install/create/update/delete) for any model.",
|
||||
"downloads": 535,
|
||||
"views": 6465,
|
||||
"downloads": 543,
|
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"is_published_plugin": true,
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||||
"created_at": "2026-02-28",
|
||||
@@ -158,8 +158,8 @@
|
||||
"version": "0.10.1",
|
||||
"author": "Fu-Jie",
|
||||
"description": "A powerful Agent SDK integration for OpenWebUI. It deeply bridges GitHub Copilot SDK with OpenWebUI's ecosystem, enabling the Agent to autonomously perform intent recognition, web search, and context compaction. It seamlessly reuses your existing Tools, MCP servers, OpenAPI servers, and Skills for a professional, full-featured experience.",
|
||||
"downloads": 407,
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"views": 5825,
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@@ -175,8 +175,8 @@
|
||||
"version": "0.2.4",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Quickly generates beautiful flashcards from text, extracting key points and categories.",
|
||||
"downloads": 339,
|
||||
"views": 4807,
|
||||
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@@ -192,9 +192,9 @@
|
||||
"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": 236,
|
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"views": 1926,
|
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"is_published_plugin": true,
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@@ -210,7 +210,7 @@
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||||
"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。",
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"downloads": 173,
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@@ -226,10 +226,10 @@
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"version": "1.0.0",
|
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"author": "Fu-Jie",
|
||||
"description": "Intelligently analyzes text content and generates interactive mind maps to help users structure and visualize knowledge.",
|
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"downloads": 135,
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"is_published_plugin": true,
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"created_at": "2026-03-04",
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||||
@@ -243,8 +243,8 @@
|
||||
"version": "0.1.0",
|
||||
"author": "Fu-Jie",
|
||||
"description": "Automatically extracts project rules from conversations and injects them into the folder's system prompt.",
|
||||
"downloads": 132,
|
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"views": 2206,
|
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@@ -260,8 +260,8 @@
|
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"version": "0.1.3",
|
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"author": "Fu-Jie",
|
||||
"description": "A specialized filter to bypass OpenWebUI's default RAG for GitHub Copilot SDK models. It moves uploaded files to a safe location ('copilot_files') so the Copilot Pipe can process them natively without interference.",
|
||||
"downloads": 94,
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@@ -278,7 +278,7 @@
|
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"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": 72,
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@@ -295,7 +295,7 @@
|
||||
"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": 57,
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@@ -329,7 +329,7 @@
|
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"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。",
|
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"downloads": 38,
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@@ -346,7 +346,7 @@
|
||||
"author": "Fu-Jie",
|
||||
"description": "快速将文本提炼为精美的学习记忆卡片，支持核心要点提取与分类。",
|
||||
"downloads": 34,
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@@ -356,20 +356,20 @@
|
||||
"url": "https://openwebui.com/posts/闪记卡生成插件_4a31eac3"
|
||||
},
|
||||
{
|
||||
"title": "🚀 Batch Install Plugins - Install Popular Plugins in Seconds",
|
||||
"title": "Batch Install Plugins from GitHub",
|
||||
"slug": "batch_install_plugins_install_popular_plugins_in_s_c9fd6e80",
|
||||
"type": "tool",
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"version": "1.0.0",
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||||
"type": "action",
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||||
"version": "1.1.0",
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||||
"author": "Fu-Jie",
|
||||
"description": "One-click batch install plugins from GitHub repositories to your OpenWebUI instance.",
|
||||
"downloads": 13,
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"is_published_plugin": true,
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"created_at": "2026-03-15",
|
||||
"updated_at": "2026-03-15",
|
||||
"updated_at": "2026-03-16",
|
||||
"url": "https://openwebui.com/posts/batch_install_plugins_install_popular_plugins_in_s_c9fd6e80"
|
||||
},
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{
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@@ -380,7 +380,7 @@
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@@ -397,7 +397,7 @@
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@@ -414,7 +414,7 @@
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@@ -431,7 +431,7 @@
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@@ -448,7 +448,7 @@
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@@ -499,8 +499,8 @@
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"profile_image": "https://community.s3.openwebui.com/uploads/users/b15d1348-4347-42b4-b815-e053342d6cb0/profile_d9510745-4bd4-4f8f-a997-4a21847d9300.webp",
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}
|
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|
||||
@@ -8,7 +8,7 @@
|
||||
> *Blue: Downloads | Purple: Views (Real-time dynamic)*
|
||||
|
||||
### 📂 Content Distribution
|
||||
|
||||
|
||||
|
||||
|
||||
## 📈 Overview
|
||||
@@ -26,9 +26,9 @@
|
||||
|
||||
## 📂 By Type
|
||||
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
|
||||
@@ -36,27 +36,27 @@
|
||||
|
||||
| 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 |  |  |  |  |  | 2026-03-15 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 5 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 5 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 6 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | prompt |  |  |  |  |  | 2026-01-28 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-15 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-15 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-19 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-19 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 11 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 12 | [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 |  |  |  |  |  | 2026-03-15 |
|
||||
| 13 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 12 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 13 | [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 |  |  |  |  |  | 2026-03-16 |
|
||||
| 14 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter |  |  |  |  |  | 2026-01-20 |
|
||||
| 15 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 16 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 17 | [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 |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 20 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 21 | [Batch Install Plugins from GitHub](https://openwebui.com/posts/batch_install_plugins_install_popular_plugins_in_s_c9fd6e80) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 15 | [Batch Install Plugins from GitHub](https://openwebui.com/posts/batch_install_plugins_install_popular_plugins_in_s_c9fd6e80) | tool |  |  |  |  |  | 2026-03-19 |
|
||||
| 16 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 17 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 18 | [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 |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 20 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 21 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 22 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | action |  |  |  |  |  | 2026-03-07 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
> *蓝色: 总下载量 | 紫色: 总浏览量 (实时动态生成)*
|
||||
|
||||
### 📂 内容分类占比 (Distribution)
|
||||
|
||||
|
||||
|
||||
|
||||
## 📈 总览
|
||||
@@ -26,9 +26,9 @@
|
||||
|
||||
## 📂 按类型分类
|
||||
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
- 
|
||||
|
||||
@@ -36,27 +36,27 @@
|
||||
|
||||
| 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 |  |  |  |  |  | 2026-03-15 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 5 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 1 | [Smart Mind Map](https://openwebui.com/posts/turn_any_text_into_beautiful_mind_maps_3094c59a) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 2 | [Smart Infographic](https://openwebui.com/posts/smart_infographic_ad6f0c7f) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 3 | [Markdown Normalizer](https://openwebui.com/posts/markdown_normalizer_baaa8732) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 4 | [Async Context Compression](https://openwebui.com/posts/async_context_compression_b1655bc8) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 5 | [Export to Word Enhanced](https://openwebui.com/posts/export_to_word_enhanced_formatting_fca6a315) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 6 | [AI Task Instruction Generator](https://openwebui.com/posts/ai_task_instruction_generator_9bab8b37) | prompt |  |  |  |  |  | 2026-01-28 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-15 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-15 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 7 | [Export to Excel](https://openwebui.com/posts/export_mulit_table_to_excel_244b8f9d) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 8 | [OpenWebUI Skills Manager Tool](https://openwebui.com/posts/openwebui_skills_manager_tool_b4bce8e4) | tool |  |  |  |  |  | 2026-03-19 |
|
||||
| 9 | [GitHub Copilot Official SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) | pipe |  |  |  |  |  | 2026-03-19 |
|
||||
| 10 | [Flash Card](https://openwebui.com/posts/flash_card_65a2ea8f) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 11 | [Deep Dive](https://openwebui.com/posts/deep_dive_c0b846e4) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 12 | [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 |  |  |  |  |  | 2026-03-15 |
|
||||
| 13 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 12 | [🧠 Smart Mind Map Tool: Auto-Generate Interactive Knowledge Graphs](https://openwebui.com/posts/smart_mind_map_tool_auto_generate_interactive_know_d25f4e3d) | tool |  |  |  |  |  | 2026-03-05 |
|
||||
| 13 | [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 |  |  |  |  |  | 2026-03-16 |
|
||||
| 14 | [📂 Folder Memory – Auto-Evolving Project Context](https://openwebui.com/posts/folder_memory_auto_evolving_project_context_4a9875b2) | filter |  |  |  |  |  | 2026-01-20 |
|
||||
| 15 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-15 |
|
||||
| 16 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 17 | [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 |  |  |  |  |  | 2026-02-13 |
|
||||
| 18 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 20 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-03-15 |
|
||||
| 21 | [Batch Install Plugins from GitHub](https://openwebui.com/posts/batch_install_plugins_install_popular_plugins_in_s_c9fd6e80) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 15 | [Batch Install Plugins from GitHub](https://openwebui.com/posts/batch_install_plugins_install_popular_plugins_in_s_c9fd6e80) | tool |  |  |  |  |  | 2026-03-19 |
|
||||
| 16 | [GitHub Copilot SDK Files Filter](https://openwebui.com/posts/github_copilot_sdk_files_filter_403a62ee) | filter |  |  |  |  |  | 2026-03-16 |
|
||||
| 17 | [智能信息图](https://openwebui.com/posts/智能信息图_e04a48ff) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 18 | [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 |  |  |  |  |  | 2026-02-13 |
|
||||
| 19 | [异步上下文压缩](https://openwebui.com/posts/异步上下文压缩_5c0617cb) | action |  |  |  |  |  | 2026-02-13 |
|
||||
| 20 | [精读](https://openwebui.com/posts/精读_99830b0f) | action |  |  |  |  |  | 2026-01-08 |
|
||||
| 21 | [闪记卡 (Flash Card)](https://openwebui.com/posts/闪记卡生成插件_4a31eac3) | action |  |  |  |  |  | 2026-03-16 |
|
||||
| 22 | [An Unconventional Use of Open Terminal ⚡](https://openwebui.com/posts/an_unconventional_use_of_open_terminal_35498f8f) | action |  |  |  |  |  | 2026-03-07 |
|
||||
| 23 | [🚀 GitHub Copilot SDK Pipe v0.9.0: Skills & RichUI](https://openwebui.com/posts/github_copilot_sdk_pipe_v090_copilot_sdk_skills_co_99a42452) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
| 24 | [🚀 GitHub Copilot SDK Pipe v0.7.0: Skills & Rich UI 🛠️](https://openwebui.com/posts/github_copilot_sdk_pipe_v070_native_tool_ui_zero_c_4af38131) | pipe |  |  |  |  |  | 2026-02-28 |
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# GitHub Copilot SDK Pipe for OpenWebUI
|
||||
|
||||
| By [Fu-Jie](https://github.com/Fu-Jie) · v0.11.0 | [⭐ Star this repo](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| By [Fu-Jie](https://github.com/Fu-Jie) · v0.12.0 | [⭐ Star this repo](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| :--- | ---: |
|
||||
|
||||
|  |  |  |  |  |  |  |
|
||||
@@ -39,14 +39,12 @@ When the selection dialog opens, search for this plugin, check it, and continue.
|
||||
> [!IMPORTANT]
|
||||
> If the official OpenWebUI Community version is already installed, remove it first. After that, Batch Install Plugins can keep this plugin updated in future runs.
|
||||
|
||||
## ✨ v0.11.0: High-Speed Pool Fix, BYOK-only Mode & Stable RichUI
|
||||
## ✨ v0.12.0: Adaptive Actions Console, Stream Deduplication & Full TTFT Profiling
|
||||
|
||||
- **🚀 Shared Client Pool Fix**: Resolved a critical bug where the shared singleton pool was incorrectly stopped, restoring instant response speeds for subsequent turns.
|
||||
- **🔑 BYOK-only Mode**: You can now use the plugin with only BYOK settings (OpenAI/Anthropic keys) without requiring a `GH_TOKEN`.
|
||||
- **🛡️ Environment Isolation**: Improved security by isolating user-specific environment variables, preventing token pollution in concurrent requests.
|
||||
- **📏 RichUI Height Stability**: Fixed the infinite sizing loop bug in embedded components, ensuring precise auto-height calculation.
|
||||
- **🩺 Smart Stall Detection**: Integrated `client.ping()` to rescue slow but alive processes from being prematurely aborted during heavy tasks.
|
||||
- **🧹 Smart TODO Visibility**: Automatically hides the TODO widget in subsequent chats once all tasks are completed to keep the interface clean.
|
||||
- **📊 Predictive Adaptive Console**: Automatically models continuous decision layouts using `interactive_controls` state tables on the per-session workspace database so visual panels don't go stale.
|
||||
- **🛡️ Stream Overlap Deduplication**: Mitigated overlay dual delivery bugs on `assistant.message_delta` frames using conservative overlap trimming rules during turn resumptions.
|
||||
- **⏱️ Segmented Profiling Loadtimes**: Fine-grained timers identifying local startup overhead and pure cloud network turnaround time tracking calibration.
|
||||
- **🧹 Eliminate Redundancies**: Reduced redundant secondary heavy `_parse_mcp_servers()` loops inside session resumes for faster handshake callbacks.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# GitHub Copilot Official SDK Pipe
|
||||
|
||||
| 作者：[Fu-Jie](https://github.com/Fu-Jie) · v0.11.0 | [⭐ 点个 Star 支持项目](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| 作者：[Fu-Jie](https://github.com/Fu-Jie) · v0.12.0 | [⭐ 点个 Star 支持项目](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| :--- | ---: |
|
||||
|
||||
|  |  |  |  |  |  |  |
|
||||
@@ -40,14 +40,12 @@
|
||||
> [!IMPORTANT]
|
||||
> 如果你已经安装了 OpenWebUI 官方社区里的同名版本，请先删除旧版本，否则重新安装时可能报错。删除后，Batch Install Plugins 后续就可以继续负责更新这个插件。
|
||||
|
||||
## ✨ v0.11.0：单例进程池修复、纯 BYOK 模式与 RichUI 高度稳定性
|
||||
## ✨ v0.12.0：自适应动作面板、流排重拦截与全链路 TTFT 测定
|
||||
|
||||
- **🚀 共享进程池修复**：修复了 `stream_response` 误停止单例客户端的重大 Bug，显著提升多轮对话响应速度。
|
||||
- **🔑 支持纯 BYOK 模式**：现在支持仅配置自带密钥（BYOK）而不提供 `GH_TOKEN` 的运行模式。
|
||||
- **🛡️ 并发环境隔离**：重构环境变量注入逻辑，实现用户级 Token 隔离，杜绝高并发下的信息污染。
|
||||
- **📏 RichUI 稳定性增强**：彻底解决了嵌入式组件高度计算循环导致的页面无限变高问题。
|
||||
- **🩺 智能防挂死检测**：引入 `client.ping()` 探测机制，有效减少复杂任务（如长时间运行的脚本）被误杀的概率。
|
||||
- **🧹 智能 TODO 显隐**：当 TODO 任务全部完成后，下一次对话将自动隐藏 UI，保持界面整洁。
|
||||
- **📊 连续自适应看板 (Adaptive Actions Console)**：自动在 `interactive_controls` 辅助常驻状态表中追踪动作，引导 LLM 有选择性地在最新输出中展示最可能用到的点击控制面板，实现不翻页连续持久化点击操作。
|
||||
- **🛡️ 叠加流排重拦截 (Deduplicate Stream overlap)**：对接 `_dedupe_stream_chunk` 保守重叠裁剪，彻底消除二轮对话流重叠叠加异常。
|
||||
- **⏱️ 分段 ⏱️ Profiling 埋点**：拆装本地预热阻断与云端网络 Trip 数据时间，直观测算 Time-to-First-Byte。
|
||||
- **🧹 消除冗余解析**：剔除 Resume 过程对 MCP 的二次昂贵循环，提效握手微观时延。
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -15,7 +15,7 @@ Pipes allow you to:
|
||||
|
||||
## Available Pipe Plugins
|
||||
|
||||
- [GitHub Copilot SDK](github-copilot-sdk.md) (v0.11.0) - Official GitHub Copilot SDK integration. Features **Workspace Isolation**, **Zero-config OpenWebUI Tool Bridge**, **BYOK** support, and **dynamic MCP discovery**. **NEW in v0.11.0: Shared Client Pool fix (High Performance), Pure BYOK-only Mode, and Stable RichUI auto-sizing**. [View Deep Dive](github-copilot-sdk-deep-dive.md) | [**View Advanced Tutorial**](github-copilot-sdk-tutorial.md) | [**View Detailed Usage Guide**](github-copilot-sdk-usage-guide.md).
|
||||
- [GitHub Copilot SDK](github-copilot-sdk.md) (v0.12.0) - Official GitHub Copilot SDK integration. Features **Workspace Isolation**, **Zero-config OpenWebUI Tool Bridge**, **BYOK** support, and **dynamic MCP discovery**. **NEW in v0.12.0: Shared Client Pool fix (High Performance), Pure BYOK-only Mode, and Stable RichUI auto-sizing**. [View Deep Dive](github-copilot-sdk-deep-dive.md) | [**View Advanced Tutorial**](github-copilot-sdk-tutorial.md) | [**View Detailed Usage Guide**](github-copilot-sdk-usage-guide.md).
|
||||
- **[Case Study: GitHub 100 Star Growth Analysis](star-prediction-example.md)** - Learn how to use the GitHub Copilot SDK Pipe with Minimax 2.1 to automatically analyze CSV data and generate project growth reports.
|
||||
- **[Case Study: High-Quality Video to GIF Conversion](video-processing-example.md)** - See how the model uses system-level FFmpeg to accelerate, scale, and optimize colors for screen recordings.
|
||||
|
||||
|
||||
@@ -15,7 +15,7 @@ Pipes 可以用于：
|
||||
|
||||
## 可用的 Pipe 插件
|
||||
|
||||
- [GitHub Copilot SDK](github-copilot-sdk.zh.md) (v0.11.0) - GitHub Copilot SDK 官方集成。具备**工作区安全隔离**、**零配置工具桥接**与**BYOK (自带 Key) 支持**。**v0.11.0 更新：单例进程池 Bug 修复 (极速响应)、纯 BYOK 模式支持与 RichUI 自动高度稳定性增强**。[查看深度架构解析](github-copilot-sdk-deep-dive.zh.md) | [**查看进阶 实战教程**](github-copilot-sdk-tutorial.zh.md) | [**查看详细使用手册**](github-copilot-sdk-usage-guide.zh.md)。
|
||||
- [GitHub Copilot SDK](github-copilot-sdk.zh.md) (v0.12.0) - GitHub Copilot SDK 官方集成。具备**工作区安全隔离**、**零配置工具桥接**与**BYOK (自带 Key) 支持**。**v0.12.0 更新：单例进程池 Bug 修复 (极速响应)、纯 BYOK 模式支持与 RichUI 自动高度稳定性增强**。[查看深度架构解析](github-copilot-sdk-deep-dive.zh.md) | [**查看进阶 实战教程**](github-copilot-sdk-tutorial.zh.md) | [**查看详细使用手册**](github-copilot-sdk-usage-guide.zh.md)。
|
||||
- **[实战案例：GitHub 100 Star 增长预测](star-prediction-example.zh.md)** - 展示如何使用 GitHub Copilot SDK Pipe 结合 Minimax 2.1 模型，自动编写脚本分析 CSV 数据并生成详细的项目增长报告。
|
||||
- **[实战案例：视频高质量 GIF 转换与加速](video-processing-example.zh.md)** - 演示模型如何通过底层 FFmpeg 工具对录屏进行加速、缩放及双阶段色彩优化处理。
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# GitHub Copilot SDK Pipe for OpenWebUI
|
||||
|
||||
| By [Fu-Jie](https://github.com/Fu-Jie) · v0.11.0 | [⭐ Star this repo](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| By [Fu-Jie](https://github.com/Fu-Jie) · v0.12.0 | [⭐ Star this repo](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| :--- | ---: |
|
||||
|
||||
|  |  |  |  |  |  |  |
|
||||
@@ -39,14 +39,12 @@ When the selection dialog opens, search for this plugin, check it, and continue.
|
||||
> [!IMPORTANT]
|
||||
> If the official OpenWebUI Community version is already installed, remove it first. After that, Batch Install Plugins can keep this plugin updated in future runs.
|
||||
|
||||
## ✨ v0.11.0: High-Speed Pool Fix, BYOK-only Mode & Stable RichUI
|
||||
## ✨ v0.12.0: Adaptive Actions Console, Stream Deduplication & Full TTFT Profiling
|
||||
|
||||
- **🚀 Shared Client Pool Fix**: Resolved a critical bug where the shared singleton pool was incorrectly stopped, restoring instant response speeds for subsequent turns.
|
||||
- **🔑 BYOK-only Mode**: You can now use the plugin with only BYOK settings (OpenAI/Anthropic keys) without requiring a `GH_TOKEN`.
|
||||
- **🛡️ Environment Isolation**: Improved security by isolating user-specific environment variables, preventing token pollution in concurrent requests.
|
||||
- **📏 RichUI Height Stability**: Fixed the infinite sizing loop bug in embedded components, ensuring precise auto-height calculation.
|
||||
- **🩺 Smart Stall Detection**: Integrated `client.ping()` to rescue slow but alive processes from being prematurely aborted during heavy tasks.
|
||||
- **🧹 Smart TODO Visibility**: Automatically hides the TODO widget in subsequent chats once all tasks are completed to keep the interface clean.
|
||||
- **📊 Predictive Adaptive Console**: Automatically models continuous decision layouts using `interactive_controls` state tables on the per-session workspace database so visual panels don't go stale.
|
||||
- **🛡️ Stream Overlap Deduplication**: Mitigated overlay dual delivery bugs on `assistant.message_delta` frames using conservative overlap trimming rules during turn resumptions.
|
||||
- **⏱️ Segmented Profiling Loadtimes**: Fine-grained timers identifying local startup overhead and pure cloud network turnaround time tracking calibration.
|
||||
- **🧹 Eliminate Redundancies**: Reduced redundant secondary heavy `_parse_mcp_servers()` loops inside session resumes for faster handshake callbacks.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
# GitHub Copilot Official SDK Pipe
|
||||
|
||||
| 作者：[Fu-Jie](https://github.com/Fu-Jie) · v0.11.0 | [⭐ 点个 Star 支持项目](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| 作者：[Fu-Jie](https://github.com/Fu-Jie) · v0.12.0 | [⭐ 点个 Star 支持项目](https://github.com/Fu-Jie/openwebui-extensions) |
|
||||
| :--- | ---: |
|
||||
|
||||
|  |  |  |  |  |  |  |
|
||||
@@ -40,14 +40,12 @@
|
||||
> [!IMPORTANT]
|
||||
> 如果你已经安装了 OpenWebUI 官方社区里的同名版本，请先删除旧版本，否则重新安装时可能报错。删除后，Batch Install Plugins 后续就可以继续负责更新这个插件。
|
||||
|
||||
## ✨ v0.11.0：单例进程池修复、纯 BYOK 模式与 RichUI 高度稳定性
|
||||
## ✨ v0.12.0：自适应动作面板、流排重拦截与全链路 TTFT 测定
|
||||
|
||||
- **🚀 共享进程池修复**：修复了 `stream_response` 误停止单例客户端的重大 Bug，显著提升多轮对话响应速度。
|
||||
- **🔑 支持纯 BYOK 模式**：现在支持仅配置自带密钥（BYOK）而不提供 `GH_TOKEN` 的运行模式。
|
||||
- **🛡️ 并发环境隔离**：重构环境变量注入逻辑，实现用户级 Token 隔离，杜绝高并发下的信息污染。
|
||||
- **📏 RichUI 稳定性增强**：彻底解决了嵌入式组件高度计算循环导致的页面无限变高问题。
|
||||
- **🩺 智能防挂死检测**：引入 `client.ping()` 探测机制，有效减少复杂任务（如长时间运行的脚本）被误杀的概率。
|
||||
- **🧹 智能 TODO 显隐**：当 TODO 任务全部完成后，下一次对话将自动隐藏 UI，保持界面整洁。
|
||||
- **📊 连续自适应看板 (Adaptive Actions Console)**：自动在 `interactive_controls` 辅助常驻状态表中追踪动作，引导 LLM 有选择性地在最新输出中展示最可能用到的点击控制面板，实现不翻页连续持久化点击操作。
|
||||
- **🛡️ 叠加流排重拦截 (Deduplicate Stream overlap)**：对接 `_dedupe_stream_chunk` 保守重叠裁剪，彻底消除二轮对话流重叠叠加异常。
|
||||
- **⏱️ 分段 ⏱️ Profiling 埋点**：拆装本地预热阻断与云端网络 Trip 数据时间，直观测算 Time-to-First-Byte。
|
||||
- **🧹 消除冗余解析**：剔除 Resume 过程对 MCP 的二次昂贵循环，提效握手微观时延。
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -5,7 +5,7 @@ author_url: https://github.com/Fu-Jie/openwebui-extensions
|
||||
funding_url: https://github.com/open-webui
|
||||
openwebui_id: ce96f7b4-12fc-4ac3-9a01-875713e69359
|
||||
description: A powerful Agent SDK integration for OpenWebUI. It deeply bridges GitHub Copilot SDK with OpenWebUI's ecosystem, enabling the Agent to autonomously perform intent recognition, web search, and context compaction. It seamlessly reuses your existing Tools, MCP servers, OpenAPI servers, and Skills for a professional, full-featured experience.
|
||||
version: 0.11.0
|
||||
version: 0.12.0
|
||||
requirements: github-copilot-sdk==0.1.30
|
||||
"""
|
||||
|
||||
@@ -124,13 +124,30 @@ RICHUI_BRIDGE_SCRIPT = r"""
|
||||
return null;
|
||||
}
|
||||
|
||||
function classHasThemeToken(className, token) {
|
||||
return String(className || '').indexOf(token) !== -1;
|
||||
}
|
||||
|
||||
function applyTheme(theme) {
|
||||
if (theme !== 'dark' && theme !== 'light') {
|
||||
return;
|
||||
}
|
||||
var isDark = theme === 'dark';
|
||||
var shouldMirrorTheme = Boolean(getParentDocument());
|
||||
if (
|
||||
root.getAttribute('data-openwebui-applied-theme') === theme &&
|
||||
(!shouldMirrorTheme ||
|
||||
(root.getAttribute('data-theme') === theme &&
|
||||
root.classList.contains('dark') === isDark)) &&
|
||||
String(root.style.colorScheme || '') === theme
|
||||
) {
|
||||
return;
|
||||
}
|
||||
root.setAttribute('data-openwebui-applied-theme', theme);
|
||||
root.setAttribute('data-theme', theme);
|
||||
root.classList.toggle('dark', theme === 'dark');
|
||||
if (shouldMirrorTheme) {
|
||||
root.setAttribute('data-theme', theme);
|
||||
root.classList.toggle('dark', isDark);
|
||||
}
|
||||
root.style.colorScheme = theme;
|
||||
}
|
||||
|
||||
@@ -187,66 +204,57 @@ RICHUI_BRIDGE_SCRIPT = r"""
|
||||
return null;
|
||||
}
|
||||
|
||||
function getThemeFromDocument(doc, options) {
|
||||
function getThemeFromDocument(doc) {
|
||||
if (!doc) {
|
||||
return null;
|
||||
}
|
||||
try {
|
||||
var useHtmlSignals = !options || options.useHtmlSignals !== false;
|
||||
var html = doc.documentElement;
|
||||
var body = doc.body;
|
||||
var htmlClass = useHtmlSignals && html ? String(html.className || '') : '';
|
||||
var htmlClass = html ? String(html.className || '') : '';
|
||||
var bodyClass = body ? String(body.className || '') : '';
|
||||
var htmlDataTheme =
|
||||
useHtmlSignals && html ? html.getAttribute('data-theme') : '';
|
||||
var bodyDataTheme = body ? body.getAttribute('data-theme') : '';
|
||||
var htmlDataTheme = html ? html.getAttribute('data-theme') : '';
|
||||
|
||||
if (
|
||||
htmlDataTheme === 'dark' ||
|
||||
bodyDataTheme === 'dark' ||
|
||||
htmlClass.indexOf('dark') !== -1 ||
|
||||
bodyClass.indexOf('dark') !== -1
|
||||
classHasThemeToken(bodyClass, 'dark') ||
|
||||
classHasThemeToken(htmlClass, 'dark')
|
||||
) {
|
||||
return 'dark';
|
||||
}
|
||||
if (
|
||||
htmlDataTheme === 'light' ||
|
||||
bodyDataTheme === 'light' ||
|
||||
htmlClass.indexOf('light') !== -1 ||
|
||||
bodyClass.indexOf('light') !== -1
|
||||
classHasThemeToken(bodyClass, 'light') ||
|
||||
classHasThemeToken(htmlClass, 'light')
|
||||
) {
|
||||
return 'light';
|
||||
}
|
||||
|
||||
var metaTheme = getThemeFromMeta(doc);
|
||||
if (metaTheme) {
|
||||
return metaTheme;
|
||||
}
|
||||
|
||||
var computedTarget = useHtmlSignals ? html || body : body || html;
|
||||
if (computedTarget) {
|
||||
var computedScheme = window.getComputedStyle(computedTarget).colorScheme;
|
||||
if (computedScheme === 'dark' || computedScheme === 'light') {
|
||||
return computedScheme;
|
||||
}
|
||||
}
|
||||
} catch (e) {}
|
||||
return null;
|
||||
}
|
||||
|
||||
function resolveTheme() {
|
||||
var parentTheme = getThemeFromDocument(getParentDocument(), {
|
||||
useHtmlSignals: true,
|
||||
});
|
||||
if (parentTheme) {
|
||||
return parentTheme;
|
||||
var parentDoc = getParentDocument();
|
||||
var parentMetaTheme = parentDoc ? getThemeFromMeta(parentDoc) : null;
|
||||
if (parentMetaTheme) {
|
||||
return parentMetaTheme;
|
||||
}
|
||||
|
||||
var localTheme = getThemeFromDocument(document, {
|
||||
useHtmlSignals: false,
|
||||
});
|
||||
if (localTheme) {
|
||||
return localTheme;
|
||||
var parentClassTheme = parentDoc ? getThemeFromDocument(parentDoc) : null;
|
||||
if (parentClassTheme) {
|
||||
return parentClassTheme;
|
||||
}
|
||||
|
||||
if (!parentDoc) {
|
||||
var localMetaTheme = getThemeFromMeta(document);
|
||||
if (localMetaTheme) {
|
||||
return localMetaTheme;
|
||||
}
|
||||
|
||||
var localClassTheme = getThemeFromDocument(document);
|
||||
if (localClassTheme) {
|
||||
return localClassTheme;
|
||||
}
|
||||
}
|
||||
|
||||
try {
|
||||
@@ -366,26 +374,26 @@ function measureHeight() {
|
||||
}
|
||||
|
||||
function attachThemeObservers() {
|
||||
var parentDoc = getParentDocument();
|
||||
if (!window.MutationObserver || !parentDoc || parentThemeObserver) {
|
||||
var themeDoc = getParentDocument() || document;
|
||||
if (!window.MutationObserver || !themeDoc || parentThemeObserver) {
|
||||
return;
|
||||
}
|
||||
try {
|
||||
parentThemeObserver = new MutationObserver(syncTheme);
|
||||
if (parentDoc.documentElement) {
|
||||
parentThemeObserver.observe(parentDoc.documentElement, {
|
||||
if (themeDoc.documentElement) {
|
||||
parentThemeObserver.observe(themeDoc.documentElement, {
|
||||
attributes: true,
|
||||
attributeFilter: ['class', 'data-theme', 'style'],
|
||||
attributeFilter: ['class', 'data-theme'],
|
||||
});
|
||||
}
|
||||
if (parentDoc.body) {
|
||||
parentThemeObserver.observe(parentDoc.body, {
|
||||
if (themeDoc.body) {
|
||||
parentThemeObserver.observe(themeDoc.body, {
|
||||
attributes: true,
|
||||
attributeFilter: ['class', 'data-theme', 'style'],
|
||||
attributeFilter: ['class', 'data-theme'],
|
||||
});
|
||||
}
|
||||
if (parentDoc.head) {
|
||||
parentThemeObserver.observe(parentDoc.head, {
|
||||
if (themeDoc.head) {
|
||||
parentThemeObserver.observe(themeDoc.head, {
|
||||
childList: true,
|
||||
subtree: true,
|
||||
attributes: true,
|
||||
@@ -3027,6 +3035,8 @@ class Pipe:
|
||||
__message_id__: Optional[str] = None,
|
||||
):
|
||||
"""Initialize custom tools based on configuration"""
|
||||
import time
|
||||
t_start = time.perf_counter()
|
||||
# 1. Determine effective settings (User override > Global)
|
||||
uv = self._get_user_valves(__user__)
|
||||
enable_tools = uv.ENABLE_OPENWEBUI_TOOLS
|
||||
@@ -3057,8 +3067,11 @@ class Pipe:
|
||||
if todo_widget_tool:
|
||||
final_tools.append(todo_widget_tool)
|
||||
|
||||
t_base_tools_done = time.perf_counter()
|
||||
|
||||
# 3. If all OpenWebUI tool types are disabled, skip loading and return early
|
||||
if not enable_tools and not enable_openapi:
|
||||
logger.info(f"[Perf] _initialize_custom_tools (fast return): {(time.perf_counter() - t_start)*1000:.2f}ms")
|
||||
return final_tools
|
||||
|
||||
# 4. Extract chat-level tool selection (P4: user selection from Chat UI)
|
||||
@@ -3067,6 +3080,7 @@ class Pipe:
|
||||
)
|
||||
|
||||
# 5. Load OpenWebUI tools dynamically (always fresh, no cache)
|
||||
t_dyn_tools_start = time.perf_counter()
|
||||
openwebui_tools = await self._load_openwebui_tools(
|
||||
body=body,
|
||||
__user__=__user__,
|
||||
@@ -3085,6 +3099,7 @@ class Pipe:
|
||||
__chat_id__=__chat_id__,
|
||||
__message_id__=__message_id__,
|
||||
)
|
||||
t_dyn_tools_done = time.perf_counter()
|
||||
|
||||
if openwebui_tools:
|
||||
tool_names = [t.name for t in openwebui_tools]
|
||||
@@ -3101,6 +3116,9 @@ class Pipe:
|
||||
|
||||
final_tools.extend(openwebui_tools)
|
||||
|
||||
t_total = time.perf_counter() - t_start
|
||||
logger.info(f"[Perf] _initialize_custom_tools total: {t_total*1000:.2f}ms (Base tools: {(t_base_tools_done-t_start)*1000:.2f}ms, Dyn Load: {(t_dyn_tools_done-t_dyn_tools_start)*1000:.2f}ms)")
|
||||
|
||||
return final_tools
|
||||
|
||||
def _get_render_todo_widget_tool(
|
||||
@@ -4900,9 +4918,13 @@ class Pipe:
|
||||
__event_call__,
|
||||
)
|
||||
|
||||
import time
|
||||
t_get_opw_start = time.perf_counter()
|
||||
tools_dict = await get_openwebui_tools(
|
||||
tool_request, tool_ids, user, extra_params
|
||||
)
|
||||
t_get_opw_done = time.perf_counter()
|
||||
logger.info(f"[Perf] get_openwebui_tools ({len(tool_ids)} IDs): {(t_get_opw_done-t_get_opw_start)*1000:.2f}ms")
|
||||
|
||||
if self.valves.DEBUG:
|
||||
if tools_dict:
|
||||
@@ -5592,6 +5614,29 @@ class Pipe:
|
||||
os.makedirs(path, exist_ok=True)
|
||||
return path
|
||||
|
||||
def _initialize_interactive_controls_table(self, chat_id: str) -> None:
|
||||
"""Initialize the interactive_controls table in session.db if not exists."""
|
||||
if not chat_id:
|
||||
return
|
||||
try:
|
||||
metadata_dir = self._get_session_metadata_dir(chat_id)
|
||||
db_path = os.path.join(metadata_dir, "session.db")
|
||||
import sqlite3
|
||||
with sqlite3.connect(db_path) as conn:
|
||||
conn.execute("""
|
||||
CREATE TABLE IF NOT EXISTS interactive_controls (
|
||||
id TEXT PRIMARY KEY,
|
||||
label TEXT NOT NULL,
|
||||
action TEXT NOT NULL,
|
||||
status TEXT DEFAULT 'visible',
|
||||
likelihood REAL DEFAULT 0.5,
|
||||
created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
|
||||
updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
|
||||
)
|
||||
""")
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to initialize interactive_controls table for {chat_id}: {e}")
|
||||
|
||||
def _get_plan_file_path(self, chat_id: Optional[str]) -> Optional[str]:
|
||||
"""Return the canonical plan.md path for the current chat session."""
|
||||
if not chat_id:
|
||||
@@ -5917,7 +5962,8 @@ class Pipe:
|
||||
--blk-c:#dc2626; --blk-b:#fef2f2;--blk-bd:#fecaca;
|
||||
--dot:#6366f1;
|
||||
}}
|
||||
html.dark{{
|
||||
html.dark,
|
||||
html[data-openwebui-applied-theme="dark"]{{
|
||||
--bg:#1e1e2e;--bd:#313244;--tx:#cdd6f4;--mu:#6c7086;--row-h:#232336;
|
||||
--done-c:#a6e3a1;--done-b:#1e3a2a;--done-bd:#2d5c3e;
|
||||
--prog-c:#89b4fa;--prog-b:#1a2a4a;--prog-bd:#2a4070;
|
||||
@@ -6758,6 +6804,20 @@ class Pipe:
|
||||
else:
|
||||
system_parts.append(USER_RESTRICTIONS)
|
||||
|
||||
adaptive_console_note = (
|
||||
"\n[Adaptive Interactive Console Guidelines]\n"
|
||||
"Your generated views (e.g., `<iframe>`, `<richui>`, or HTML embeds) act as a Dynamic Operational State machine.\n"
|
||||
"- **Continuous Dashboarding**: When the user interacts (clicks), in your NEXT response, evaluate what previous controls are still useful.\n"
|
||||
"- **DO NOT blindly clone**: Do not copy 100% of previous buttons if they aren't relevant.\n"
|
||||
"- **Predictive Retention**: If a previous button was unclicked but is logical next step, merge it into current view.\n"
|
||||
"- **Selective Recall (有选择地召回)**: You must be highly selective! Just because an item is in the DB does NOT mean it should be rendered. Evaluate the CURRENT state and render ONLY items with high probability of being clicked next to prevent clutter.\n"
|
||||
"- **Pre-Initialized State Table**: An `interactive_controls` table has been created for you in the local `session.db` workspace. DO NOT use the `todos` table.\n"
|
||||
" - **Schema**: `id (TEXT PRIMARY KEY)`, `label (TEXT NOT NULL)`, `action (TEXT NOT NULL)`, `status (TEXT DEFAULT 'visible')`, `likelihood (REAL)`, `created_at`, `updated_at`.\n"
|
||||
" - **Usage**: You MUST use your `sql` tool to `SELECT`, `INSERT`, or `UPDATE` this table to deterministically model continuous items without relying solely on memory.\n"
|
||||
"- **Goal**: The latest output is always the single source of active operations."
|
||||
)
|
||||
system_parts.append(adaptive_console_note)
|
||||
|
||||
return "\n".join(system_parts)
|
||||
|
||||
def _build_session_config(
|
||||
@@ -7413,13 +7473,42 @@ class Pipe:
|
||||
for m in models:
|
||||
mid = (m.get("raw_id") or m.get("id", "")).lower()
|
||||
mname = m.get("name", "").lower()
|
||||
msource = m.get("source", "")
|
||||
|
||||
# Filter by Keyword
|
||||
# 1. Official GitHub Model Hard-coded Filters
|
||||
if msource == "copilot":
|
||||
# Filter out experimental GPT-5 series which are often redundant or confusing
|
||||
if any(
|
||||
target in mid
|
||||
for target in [
|
||||
"gpt-5.2-codex",
|
||||
"gpt-5.2",
|
||||
"gpt-5.1-codex-max",
|
||||
"gpt-5.1-codex",
|
||||
"gpt-5.1",
|
||||
]
|
||||
):
|
||||
continue
|
||||
|
||||
# Filter out older iterations of Claude Sonnet (3.5, 4.0, 4.5) as 3.7/4.6 is now available.
|
||||
# We target both specific IDs and user-visible names.
|
||||
claude_targets = [
|
||||
"claude-3-5-sonnet",
|
||||
"claude-3.5-sonnet",
|
||||
"claude-4-0-sonnet",
|
||||
"claude-4.0-sonnet",
|
||||
"claude-4-5-sonnet",
|
||||
"claude-4.5-sonnet",
|
||||
]
|
||||
if any(t in mid or t in mname for t in claude_targets):
|
||||
continue
|
||||
|
||||
# 2. User-defined Keyword Filter
|
||||
if any(kw in mid or kw in mname for kw in ex_kw):
|
||||
continue
|
||||
|
||||
# Filter by Multiplier (Copilot source only)
|
||||
if m.get("source") == "copilot":
|
||||
# 3. Multiplier Filter (Copilot source only)
|
||||
if msource == "copilot":
|
||||
if float(m.get("multiplier", 1.0)) > (eff_max + epsilon):
|
||||
continue
|
||||
|
||||
@@ -7612,6 +7701,7 @@ class Pipe:
|
||||
__chat_id__: Optional[str] = None,
|
||||
__message_id__: Optional[str] = None,
|
||||
) -> Union[str, AsyncGenerator]:
|
||||
request_start_ts = time.monotonic()
|
||||
# --- PROBE LOG ---
|
||||
if __event_call__:
|
||||
await self._emit_debug_log(
|
||||
@@ -7653,6 +7743,10 @@ class Pipe:
|
||||
body, __metadata__, __event_call__, debug_enabled=effective_debug
|
||||
)
|
||||
chat_id = chat_ctx.get("chat_id") or "default"
|
||||
|
||||
# Initialize Adaptive Interactive Controls Table pre-emptively
|
||||
if chat_id and chat_id != "default":
|
||||
self._initialize_interactive_controls_table(chat_id)
|
||||
|
||||
# Determine effective MCP settings
|
||||
effective_mcp = user_valves.ENABLE_MCP_SERVER
|
||||
@@ -8001,13 +8095,20 @@ class Pipe:
|
||||
# Shared state for delayed HTML embeds (Premium Experience)
|
||||
pending_embeds = []
|
||||
|
||||
# Use Shared Persistent Client Pool (Token-aware)
|
||||
client = await self._get_client(token)
|
||||
should_stop_client = False # Never stop the shared singleton pool!
|
||||
# ==================== REVERT TO 0.9.1 EPHEMERAL CLIENT ====================
|
||||
t_before_client = time.monotonic()
|
||||
client_config = self._build_client_config(
|
||||
user_id=user_id, chat_id=chat_id, token=effective_token
|
||||
)
|
||||
client_config["github_token"] = effective_token
|
||||
client = CopilotClient(client_config)
|
||||
should_stop_client = True
|
||||
try:
|
||||
# Note: client is already started in _get_client
|
||||
await client.start()
|
||||
t_after_client = time.monotonic()
|
||||
|
||||
# Initialize custom tools (Handles caching internally)
|
||||
t_before_tools = time.monotonic()
|
||||
custom_tools = await self._initialize_custom_tools(
|
||||
body=body,
|
||||
__user__=__user__,
|
||||
@@ -8025,6 +8126,8 @@ class Pipe:
|
||||
__chat_id__=__chat_id__,
|
||||
__message_id__=__message_id__,
|
||||
)
|
||||
t_after_tools = time.monotonic()
|
||||
|
||||
if custom_tools:
|
||||
await self._emit_debug_log(
|
||||
f"Enabled {len(custom_tools)} tools (Custom/Built-in)",
|
||||
@@ -8032,9 +8135,21 @@ class Pipe:
|
||||
)
|
||||
|
||||
# Check MCP Servers
|
||||
t_before_mcp = time.monotonic()
|
||||
mcp_servers = self._parse_mcp_servers(
|
||||
__event_call__, enable_mcp=effective_mcp, chat_tool_ids=chat_tool_ids
|
||||
)
|
||||
t_after_mcp = time.monotonic()
|
||||
|
||||
# Emit Profiling Log to Frontend
|
||||
self._emit_debug_log_sync(
|
||||
f"⏱️ [Profiling] Client.start: {t_after_client - t_before_client:.3f}s | "
|
||||
f"Tools Init: {t_after_tools - t_before_tools:.3f}s | "
|
||||
f"MCP Parse: {t_after_mcp - t_before_mcp:.3f}s",
|
||||
__event_call__,
|
||||
debug_enabled=True,
|
||||
)
|
||||
|
||||
mcp_server_names = list(mcp_servers.keys()) if mcp_servers else []
|
||||
if mcp_server_names:
|
||||
await self._emit_debug_log(
|
||||
@@ -8071,6 +8186,7 @@ class Pipe:
|
||||
provider_config["bearer_token"] = byok_bearer_token
|
||||
pass
|
||||
|
||||
|
||||
if chat_id:
|
||||
try:
|
||||
resolved_cwd = self._get_workspace_dir(
|
||||
@@ -8096,17 +8212,14 @@ class Pipe:
|
||||
# Re-use mapping logic or just pass it through
|
||||
resume_params["reasoning_effort"] = effective_reasoning_effort
|
||||
|
||||
mcp_servers = self._parse_mcp_servers(
|
||||
__event_call__,
|
||||
enable_mcp=effective_mcp,
|
||||
chat_tool_ids=chat_tool_ids,
|
||||
)
|
||||
# Use already parsed mcp_servers to avoid redundant heavy IO
|
||||
if mcp_servers:
|
||||
resume_params["mcp_servers"] = mcp_servers
|
||||
|
||||
# Always None: let CLI built-ins (bash etc.) remain available.
|
||||
resume_params["available_tools"] = None
|
||||
|
||||
t_skills_start = time.monotonic()
|
||||
resume_params.update(
|
||||
self._resolve_session_skill_config(
|
||||
resolved_cwd=resolved_cwd,
|
||||
@@ -8115,24 +8228,18 @@ class Pipe:
|
||||
disabled_skills=effective_disabled_skills,
|
||||
)
|
||||
)
|
||||
try:
|
||||
skill_dirs_dbg = resume_params.get("skill_directories") or []
|
||||
if skill_dirs_dbg:
|
||||
logger.info(
|
||||
f"[Copilot] resume skill_directories={skill_dirs_dbg}"
|
||||
)
|
||||
t_skills_elapsed = time.monotonic() - t_skills_start
|
||||
|
||||
# Only run heavy IO skill debugging if debug is actually on
|
||||
if effective_debug:
|
||||
try:
|
||||
skill_dirs_dbg = resume_params.get("skill_directories") or []
|
||||
for sd in skill_dirs_dbg:
|
||||
path = Path(sd)
|
||||
skill_md_count = sum(
|
||||
1 for p in path.glob("*/SKILL.md") if p.is_file()
|
||||
)
|
||||
logger.info(
|
||||
f"[Copilot] resume skill_dir check: {sd} exists={path.exists()} skill_md_count={skill_md_count}"
|
||||
)
|
||||
except Exception as e:
|
||||
logger.debug(
|
||||
f"[Copilot] resume skill directory debug check failed: {e}"
|
||||
)
|
||||
skill_md_count = sum(1 for p in path.glob("*/SKILL.md") if p.is_file())
|
||||
logger.info(f"[Copilot] resume skill_dir check: {sd} skill_md_count={skill_md_count}")
|
||||
except:
|
||||
pass
|
||||
|
||||
# Always inject the latest system prompt in 'replace' mode
|
||||
# This handles both custom models and user-defined system messages
|
||||
@@ -8172,7 +8279,16 @@ class Pipe:
|
||||
debug_enabled=effective_debug,
|
||||
)
|
||||
|
||||
t_before_rpc = time.monotonic()
|
||||
session = await client.resume_session(chat_id, resume_params)
|
||||
t_after_rpc = time.monotonic()
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
f"⏱️ [Profiling] Skills Resolve: {t_skills_elapsed:.3f}s | RPC resume_session: {t_after_rpc - t_before_rpc:.3f}s",
|
||||
__event_call__,
|
||||
debug_enabled=True,
|
||||
)
|
||||
|
||||
await self._emit_debug_log(
|
||||
f"Successfully resumed session {chat_id} with model {real_model_id}",
|
||||
__event_call__,
|
||||
@@ -8213,7 +8329,15 @@ class Pipe:
|
||||
__event_call__,
|
||||
)
|
||||
|
||||
t_before_rpc2 = time.monotonic()
|
||||
session = await client.create_session(config=session_config)
|
||||
t_after_rpc2 = time.monotonic()
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
f"⏱️ [Profiling] RPC create_session: {t_after_rpc2 - t_before_rpc2:.3f}s",
|
||||
__event_call__,
|
||||
debug_enabled=True,
|
||||
)
|
||||
|
||||
model_type_label = "BYOK" if is_byok_model else "Copilot"
|
||||
await self._emit_debug_log(
|
||||
@@ -8291,6 +8415,7 @@ class Pipe:
|
||||
debug_enabled=effective_debug,
|
||||
user_lang=user_lang,
|
||||
pending_embeds=pending_embeds,
|
||||
request_start_ts=request_start_ts,
|
||||
)
|
||||
else:
|
||||
try:
|
||||
@@ -8338,6 +8463,7 @@ class Pipe:
|
||||
debug_enabled: bool = False,
|
||||
user_lang: str = "en-US",
|
||||
pending_embeds: List[dict] = None,
|
||||
request_start_ts: float = 0.0,
|
||||
) -> AsyncGenerator:
|
||||
"""
|
||||
Stream response from Copilot SDK, handling various event types.
|
||||
@@ -8355,8 +8481,13 @@ class Pipe:
|
||||
"idle_reached": False,
|
||||
"session_finalized": False,
|
||||
"turn_started": False,
|
||||
"turn_ended": False,
|
||||
"turn_started_ts": None,
|
||||
"turn_end_ts": None,
|
||||
"last_event_ts": stream_start_ts,
|
||||
"last_error_msg": "",
|
||||
"embeds_flushed": False,
|
||||
"reasoning_sent": False,
|
||||
"final_status_desc": self._get_translation(
|
||||
user_lang, "status_task_completed"
|
||||
),
|
||||
@@ -8367,6 +8498,7 @@ class Pipe:
|
||||
skill_invoked_in_turn = False
|
||||
last_wait_status_ts = 0.0
|
||||
wait_status_interval = 15.0
|
||||
queue_poll_interval = max(1.0, min(float(self.valves.TIMEOUT), 5.0))
|
||||
|
||||
IDLE_SENTINEL = object()
|
||||
ERROR_SENTINEL = object()
|
||||
@@ -8399,6 +8531,87 @@ class Pipe:
|
||||
# Try as object attribute
|
||||
return getattr(data, attr, default)
|
||||
|
||||
|
||||
async def _flush_pending_embeds(flush_source: str) -> List[str]:
|
||||
if state.get("embeds_flushed"):
|
||||
return []
|
||||
if not pending_embeds:
|
||||
return []
|
||||
|
||||
state["embeds_flushed"] = True
|
||||
artifacts_to_yield: List[str] = []
|
||||
embeds_to_process = list(pending_embeds)
|
||||
pending_embeds.clear()
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
f"Flushing {len(embeds_to_process)} pending embed(s) via {flush_source}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
|
||||
for embed in embeds_to_process:
|
||||
if not isinstance(embed, dict):
|
||||
continue
|
||||
|
||||
embed_type = embed.get("type")
|
||||
embed_filename = embed.get("filename", "")
|
||||
embed_content = embed.get("content", "")
|
||||
if embed_type not in {"richui", "artifacts"}:
|
||||
continue
|
||||
|
||||
if __event_emitter__:
|
||||
try:
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "status",
|
||||
"data": {
|
||||
"description": self._get_translation(
|
||||
user_lang,
|
||||
"status_publishing_file",
|
||||
filename=embed_filename,
|
||||
),
|
||||
"done": True,
|
||||
},
|
||||
}
|
||||
)
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "notification",
|
||||
"data": {
|
||||
"type": "success",
|
||||
"content": self._get_translation(
|
||||
user_lang, "publish_success"
|
||||
),
|
||||
},
|
||||
}
|
||||
)
|
||||
except Exception as emit_error:
|
||||
self._emit_debug_log_sync(
|
||||
f"Embed status/notification emission failed via {flush_source}: {emit_error}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
|
||||
if embed_type == "richui":
|
||||
if __event_emitter__:
|
||||
try:
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "embeds",
|
||||
"data": {"embeds": [embed_content]},
|
||||
}
|
||||
)
|
||||
except Exception as emit_error:
|
||||
self._emit_debug_log_sync(
|
||||
f"RichUI embed emission failed via {flush_source}: {emit_error}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
elif embed_content:
|
||||
artifacts_to_yield.append(embed_content)
|
||||
|
||||
return artifacts_to_yield
|
||||
|
||||
def handler(event):
|
||||
"""
|
||||
Event handler following official SDK patterns.
|
||||
@@ -8480,7 +8693,27 @@ class Pipe:
|
||||
# === Turn Management Events ===
|
||||
if event_type == "assistant.turn_start":
|
||||
state["turn_started"] = True
|
||||
state["turn_ended"] = False
|
||||
state["turn_started_ts"] = state["last_event_ts"]
|
||||
state["turn_end_ts"] = None
|
||||
|
||||
# Calculate and log request latency (TTFT)
|
||||
if request_start_ts > 0:
|
||||
elapsed = state["last_event_ts"] - request_start_ts
|
||||
net_elapsed = ""
|
||||
if "send_start_ts" in state:
|
||||
net_roundtrip = state["last_event_ts"] - state["send_start_ts"]
|
||||
net_elapsed = f" | Cloud Network Trip: {net_roundtrip:.3f}s"
|
||||
self._emit_debug_log_sync(
|
||||
f"⏱️ [Copilot] Total TTFT: {elapsed:.3f}s{net_elapsed}",
|
||||
__event_call__,
|
||||
debug_enabled=True,
|
||||
)
|
||||
|
||||
state["message_stream_tail"] = ""
|
||||
state["reasoning_sent"] = False
|
||||
state["reasoning_stream_tail"] = ""
|
||||
state["content_sent"] = False
|
||||
self._emit_debug_log_sync(
|
||||
"Assistant Turn Started",
|
||||
__event_call__,
|
||||
@@ -8529,13 +8762,11 @@ class Pipe:
|
||||
if state["thinking_started"]:
|
||||
queue.put_nowait("\n</think>\n")
|
||||
state["thinking_started"] = False
|
||||
|
||||
queue.put_nowait(delta)
|
||||
|
||||
# === Complete Message Event (Non-streaming response) ===
|
||||
elif event_type == "assistant.message":
|
||||
# Handle complete message (when SDK returns full content instead of deltas)
|
||||
# IMPORTANT: Skip if we already received delta content to avoid duplication.
|
||||
# The SDK may emit both delta and full message events.
|
||||
if state["content_sent"]:
|
||||
return
|
||||
content = safe_get_data_attr(event, "content") or safe_get_data_attr(
|
||||
@@ -8543,10 +8774,8 @@ class Pipe:
|
||||
)
|
||||
if content:
|
||||
state["content_sent"] = True
|
||||
# Close current status
|
||||
if state.get("last_status_desc"):
|
||||
emit_status(state["last_status_desc"], is_done=True)
|
||||
|
||||
if state["thinking_started"]:
|
||||
queue.put_nowait("\n</think>\n")
|
||||
state["thinking_started"] = False
|
||||
@@ -8562,6 +8791,7 @@ class Pipe:
|
||||
if state["content_sent"]:
|
||||
return
|
||||
|
||||
state["reasoning_sent"] = True
|
||||
# Use UserValves or Global Valve for thinking visibility
|
||||
if not state["thinking_started"] and show_thinking:
|
||||
queue.put_nowait("<think>\n")
|
||||
@@ -8571,20 +8801,8 @@ class Pipe:
|
||||
|
||||
# === Complete Reasoning Event (Non-streaming reasoning) ===
|
||||
elif event_type == "assistant.reasoning":
|
||||
# Handle complete reasoning content
|
||||
reasoning = safe_get_data_attr(event, "content") or safe_get_data_attr(
|
||||
event, "reasoning"
|
||||
)
|
||||
if reasoning:
|
||||
# Suppress late-arriving reasoning if content already started
|
||||
if state["content_sent"]:
|
||||
return
|
||||
|
||||
if not state["thinking_started"] and show_thinking:
|
||||
queue.put_nowait("<think>\n")
|
||||
state["thinking_started"] = True
|
||||
if state["thinking_started"]:
|
||||
queue.put_nowait(reasoning)
|
||||
# 按同样架构要求，直接摒弃 reasoning 全包复读。
|
||||
pass
|
||||
|
||||
# === Skill Invocation Events ===
|
||||
elif event_type == "skill.invoked":
|
||||
@@ -8607,9 +8825,6 @@ class Pipe:
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
|
||||
# Make invocation visible in chat stream to avoid "skills loaded but feels unknown" confusion.
|
||||
queue.put_nowait(f"\n> 🧩 **{skill_status_text}**\n")
|
||||
|
||||
# Also send status bubble when possible.
|
||||
emit_status(skill_status_text, is_done=True)
|
||||
|
||||
@@ -8691,6 +8906,10 @@ class Pipe:
|
||||
}
|
||||
running_tool_calls.add(tool_call_id)
|
||||
|
||||
# Use the richer tool status text (which contains filenames/arguments context)
|
||||
# and ensure it's only printed to the stream ONCE per unique tool run.
|
||||
queue.put_nowait(f"\n> 🧩 **{tool_status_text}**\n")
|
||||
|
||||
# Close thinking tag if open before showing tool
|
||||
if state["thinking_started"]:
|
||||
queue.put_nowait("\n</think>\n")
|
||||
@@ -9022,6 +9241,9 @@ class Pipe:
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
running_tool_calls.clear()
|
||||
state["turn_started"] = False
|
||||
state["turn_ended"] = True
|
||||
state["turn_end_ts"] = state["last_event_ts"]
|
||||
|
||||
self._emit_debug_log_sync(
|
||||
"Assistant Turn Ended",
|
||||
@@ -9072,6 +9294,7 @@ class Pipe:
|
||||
# Session finished processing - signal to the generator loop to finalize
|
||||
state["idle_reached"] = True
|
||||
state["turn_started"] = False
|
||||
state["turn_ended"] = False
|
||||
try:
|
||||
queue.put_nowait(IDLE_SENTINEL)
|
||||
except:
|
||||
@@ -9079,10 +9302,12 @@ class Pipe:
|
||||
|
||||
elif event_type == "session.error":
|
||||
state["turn_started"] = False
|
||||
state["turn_ended"] = False
|
||||
# Fallback: clear orphaned tool call tracking on session error
|
||||
running_tool_calls.clear()
|
||||
error_msg = safe_get_data_attr(event, "message", "Unknown Error")
|
||||
state["last_error_msg"] = error_msg
|
||||
state["final_status_desc"] = error_msg
|
||||
emit_status(
|
||||
self._get_translation(
|
||||
user_lang, "status_session_error", error=error_msg
|
||||
@@ -9119,16 +9344,39 @@ class Pipe:
|
||||
)
|
||||
)
|
||||
|
||||
# Clear any stale handlers from abandoned generators before subscribing.
|
||||
# When OpenWebUI cancels a request without awaiting generator.aclose(), the
|
||||
# old handler stays registered on the session object. Clearing first ensures
|
||||
# we never have more than one active handler per stream.
|
||||
try:
|
||||
with session._event_handlers_lock:
|
||||
stale_count = len(session._event_handlers)
|
||||
if stale_count:
|
||||
session._event_handlers.clear()
|
||||
self._emit_debug_log_sync(
|
||||
f"Cleared {stale_count} stale handler(s) before subscribing",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
except Exception:
|
||||
pass # SDK internals may change; fail silently
|
||||
|
||||
unsubscribe = session.on(handler)
|
||||
|
||||
# Diagnostic: log handler and queue identity for duplicate-output debugging.
|
||||
# If you see multiple "[HandlerRegistered]" logs with different handler_id
|
||||
# values but the same session_id, multiple handlers are registered concurrently.
|
||||
self._emit_debug_log_sync(
|
||||
f"Subscribed to events. Sending request...",
|
||||
f"[HandlerRegistered] handler_id={id(handler)}, queue_id={id(queue)}, "
|
||||
f"session_id={getattr(session, 'session_id', '?')}, "
|
||||
f"total_handlers={len(getattr(session, '_event_handlers', set()))}",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
|
||||
# Use asyncio.create_task used to prevent session.send from blocking the stream reading
|
||||
# if the SDK implementation waits for completion.
|
||||
state["send_start_ts"] = time.monotonic()
|
||||
send_task = asyncio.create_task(session.send(send_payload))
|
||||
|
||||
def _handle_send_task_done(task: asyncio.Task):
|
||||
@@ -9143,6 +9391,8 @@ class Pipe:
|
||||
if not exc:
|
||||
return
|
||||
error_msg = f"Copilot send failed: {exc}"
|
||||
state["last_error_msg"] = error_msg
|
||||
state["final_status_desc"] = error_msg
|
||||
self._emit_debug_log_sync(
|
||||
error_msg,
|
||||
__event_call__,
|
||||
@@ -9207,13 +9457,14 @@ class Pipe:
|
||||
while not done.is_set():
|
||||
try:
|
||||
chunk = await asyncio.wait_for(
|
||||
queue.get(), timeout=float(self.valves.TIMEOUT)
|
||||
queue.get(), timeout=queue_poll_interval
|
||||
)
|
||||
if chunk is SENTINEL:
|
||||
done.set()
|
||||
break
|
||||
|
||||
if chunk is IDLE_SENTINEL:
|
||||
artifact_chunks = []
|
||||
# --- [FINAL STEP] Emit Rich UI Integrated View & Task Completion ---
|
||||
if __event_emitter__:
|
||||
try:
|
||||
@@ -9254,80 +9505,9 @@ class Pipe:
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# 2. Emit UI components (richui or artifacts type)
|
||||
_idle_dbg = f"IDLE: pending_embeds count={len(pending_embeds) if pending_embeds else 0}, types={[e.get('type') for e in pending_embeds] if pending_embeds else []}"
|
||||
logger.info(f"[Copilot] {_idle_dbg}")
|
||||
if __event_call__:
|
||||
try:
|
||||
await __event_call__(
|
||||
{
|
||||
"type": "execute",
|
||||
"data": {
|
||||
"code": f'console.debug("%c[Copilot IDLE] {_idle_dbg}", "color: #f59e0b;");'
|
||||
},
|
||||
}
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
if pending_embeds:
|
||||
for embed in pending_embeds:
|
||||
_embed_dbg = f"Processing embed type='{embed.get('type')}', filename='{embed.get('filename')}', content_len={len(embed.get('content', ''))}"
|
||||
logger.info(f"[Copilot] IDLE: {_embed_dbg}")
|
||||
if __event_call__:
|
||||
try:
|
||||
await __event_call__(
|
||||
{
|
||||
"type": "execute",
|
||||
"data": {
|
||||
"code": f'console.debug("%c[Copilot IDLE] {_embed_dbg}", "color: #f59e0b;");'
|
||||
},
|
||||
}
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
if embed.get("type") in ["richui", "artifacts"]:
|
||||
# Status update
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "status",
|
||||
"data": {
|
||||
"description": self._get_translation(
|
||||
user_lang,
|
||||
"status_publishing_file",
|
||||
filename=embed["filename"],
|
||||
),
|
||||
"done": True,
|
||||
},
|
||||
}
|
||||
)
|
||||
# Success notification
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "notification",
|
||||
"data": {
|
||||
"type": "success",
|
||||
"content": self._get_translation(
|
||||
user_lang, "publish_success"
|
||||
),
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
if embed.get("type") == "richui":
|
||||
# Standard OpenWebUI Embed Structure: type: "embeds", data: {"embeds": [content]}
|
||||
await __event_emitter__(
|
||||
{
|
||||
"type": "embeds",
|
||||
"data": {
|
||||
"embeds": [embed["content"]]
|
||||
},
|
||||
}
|
||||
)
|
||||
elif embed.get("type") == "artifacts":
|
||||
# Directly yield the markdown block to the response stream.
|
||||
# This securely appends the code block to the final message,
|
||||
# tricking OpenWebUI into rendering it as an artifact seamlessly.
|
||||
yield embed["content"]
|
||||
artifact_chunks = await _flush_pending_embeds(
|
||||
"session.idle"
|
||||
)
|
||||
|
||||
# 3. LOCK internal status emission for background tasks
|
||||
# (Stray Task A from tool.execution_complete will now be discarded)
|
||||
@@ -9373,6 +9553,15 @@ class Pipe:
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
else:
|
||||
artifact_chunks = await _flush_pending_embeds(
|
||||
"session.idle.no_emitter"
|
||||
)
|
||||
|
||||
for artifact_chunk in artifact_chunks:
|
||||
if artifact_chunk:
|
||||
has_content = True
|
||||
yield artifact_chunk
|
||||
|
||||
done.set()
|
||||
break
|
||||
@@ -9380,6 +9569,12 @@ class Pipe:
|
||||
if chunk is ERROR_SENTINEL:
|
||||
# Extract error message if possible or use default
|
||||
error_desc = state.get("last_error_msg", "Error during processing")
|
||||
artifact_chunks = await _flush_pending_embeds("error")
|
||||
for artifact_chunk in artifact_chunks:
|
||||
if artifact_chunk:
|
||||
has_content = True
|
||||
yield artifact_chunk
|
||||
state["session_finalized"] = True
|
||||
if __event_emitter__:
|
||||
try:
|
||||
await __event_emitter__(
|
||||
@@ -9414,7 +9609,28 @@ class Pipe:
|
||||
|
||||
now_ts = time.monotonic()
|
||||
no_progress_timeout = min(float(self.valves.TIMEOUT), 90.0)
|
||||
time_since_last_event = now_ts - state.get("last_event_ts", stream_start_ts)
|
||||
time_since_last_event = now_ts - state.get(
|
||||
"last_event_ts", stream_start_ts
|
||||
)
|
||||
turn_end_ts = state.get("turn_end_ts") or now_ts
|
||||
time_since_turn_end = now_ts - turn_end_ts
|
||||
|
||||
if (
|
||||
state.get("turn_ended")
|
||||
and not state["idle_reached"]
|
||||
and time_since_turn_end >= 3.0
|
||||
):
|
||||
self._emit_debug_log_sync(
|
||||
"assistant.turn_end received but session.idle did not arrive in time; synthesizing idle for final flush",
|
||||
__event_call__,
|
||||
debug_enabled=debug_enabled,
|
||||
)
|
||||
state["idle_reached"] = True
|
||||
try:
|
||||
queue.put_nowait(IDLE_SENTINEL)
|
||||
except Exception:
|
||||
pass
|
||||
continue
|
||||
|
||||
# --- Primary Stall Detection: no content started yet ---
|
||||
if (
|
||||
@@ -9438,6 +9654,8 @@ class Pipe:
|
||||
stall_msg = (
|
||||
f"Copilot stalled after assistant.turn_start. Ping failed ({ping_err}). The request was aborted."
|
||||
)
|
||||
state["last_error_msg"] = stall_msg
|
||||
state["final_status_desc"] = stall_msg
|
||||
self._emit_debug_log_sync(
|
||||
stall_msg,
|
||||
__event_call__,
|
||||
@@ -9489,6 +9707,8 @@ class Pipe:
|
||||
f"(limit: {int(absolute_inactivity_limit)}s). Ping failed ({ping_err}). "
|
||||
f"Force-aborting to prevent permanent hang."
|
||||
)
|
||||
state["last_error_msg"] = stall_msg
|
||||
state["final_status_desc"] = stall_msg
|
||||
self._emit_debug_log_sync(
|
||||
stall_msg,
|
||||
__event_call__,
|
||||
@@ -9649,10 +9869,10 @@ class Pipe:
|
||||
pass
|
||||
|
||||
unsubscribe()
|
||||
# In the current architecture, CopilotClient is a persistent singleton
|
||||
# shared across requests to eliminate the 1-2s startup latency.
|
||||
# Therefore, we NEVER stop the client here.
|
||||
# The session remains alive in the SDK for follow-up turns.
|
||||
try:
|
||||
await client.stop()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
# Triggering release after CI fix
|
||||
|
||||
27
plugins/pipes/github-copilot-sdk/v0.12.0.md
Normal file
27
plugins/pipes/github-copilot-sdk/v0.12.0.md
Normal file
@@ -0,0 +1,27 @@
|
||||
# v0.12.0 Release Notes
|
||||
|
||||
This update (`v0.12.0`) delivers a structural reinforcement resolving stream duplication/overlays during prompt resumes, and introduces highly requested predictive control surface sustainability.
|
||||
|
||||
## 📊 New Features
|
||||
|
||||
### 1. Predictive Adaptive Actions Console
|
||||
Injected a **Predictive Adaptive Controller** design directive into the system prompt context.
|
||||
* **Continuity Architecture**: Micro-views (`<iframe>`, `<richui>`, or HTML embeds) are now recognized by the LLM as Dynamic Operational State machines, preventing the panel from going stale/unclicked between new conversational turns.
|
||||
* **Physical Isolation & Persistence**: The Pipe now pre-emptively initializes an **`interactive_controls` state table** in the per-session `session.db` workspace database. The LLM can use its `sql` tool to track continuous actions reliably.
|
||||
* **Selective Recall**: Evaluates next-turn likelihoods natively to include *only* relevant unclicked control bars into the latest response stream so you don't scroll back up to click.
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ Bug Fixes
|
||||
|
||||
1. **Stream Overlap Deduplication**:
|
||||
* Resolved concurrent string duplication overlay bugs on `assistant.message_delta` frames (e.g., repeating prefixes) by enforcing strict conservative overlap trimming rules during turn resumptions.
|
||||
2. **TTFT Fine-grained Profiling**:
|
||||
* Deployed micro-segment timers separating local subprocess setups (~1.6s) from cloud network intervals (~2.3s) for full accounting calibration data readout directly in browser consoles.
|
||||
3. **Eliminate Redundancies**:
|
||||
* Cut redundant secondary heavy `_parse_mcp_servers()` loops inside session resume packager for slight performance speed improvements.
|
||||
|
||||
---
|
||||
|
||||
## 📖 Docs Update
|
||||
* Local and Mirror docs (`index.md`, `github-copilot-sdk.md`) version synchronization pushed up to `0.12.0`.
|
||||
27
plugins/pipes/github-copilot-sdk/v0.12.0_CN.md
Normal file
27
plugins/pipes/github-copilot-sdk/v0.12.0_CN.md
Normal file
@@ -0,0 +1,27 @@
|
||||
# v0.12.0 版本发布说明 (Release Notes)
|
||||
|
||||
针对二轮对话（Resume Session）时输出流式重复叠加，以及看板控件不持久的痛点，本次 `v0.12.0` 带来了一次结构性的功能加固。
|
||||
|
||||
## 📊 新功能 (New Features)
|
||||
|
||||
### 1. 连续自适应看板 (Adaptive Actions Console)
|
||||
在系统提示词层级注入了 **Predictive Adaptive Controller** 预测性控制面板指南。
|
||||
* 大模型现在被引导去感知自己生成的 `<iframe>` 或富文本动作面板是一个“高度状态化的连续应用”，而非单次抛弃式气泡。
|
||||
* **物理级隔离与持久化**：底层 `.pipe_impl` 现已透明为本次会话初始化了 `session.db` 空间中的 **`interactive_controls` 辅助常驻状态表**。大模型可以通过调用 `sql` 工具记录和跨 Turn 读取哪些动作目前依然活跃。
|
||||
* **有选择性召回 (Selective Recall)**：结合本轮上下文，大模型只在输出末端带上“逻辑概率最高”的幸存按钮，保证不翻页就能持续点击、协同工作，不造成消息轰炸或错乱。
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ 问题修复 (Bug Fixes)
|
||||
|
||||
1. **叠加重复输出剔除 (Deduplicate Stream overlap)**：
|
||||
* 在 `assistant.message_delta` 时，严格对接 `_dedupe_stream_chunk` 保守重置算法，过滤掉了 CLI 多路通道在极速握手期间重播的上轮前缀，彻底解决 `🎉 删 🎉 删除成功` 这类叠加显示错误。
|
||||
2. **耗时精密度测定 (Fine-grained TTFT Profiling)**：
|
||||
* 针对 First-Byte Latency 增加了分步测速：把 Process 初始化 (1.6s) 与网络云端Trip (2.3s) 严格通过时间差算出。排除了计算漏电。
|
||||
3. **消除冗余解析**：
|
||||
* 移除了 `resume_params` 时不必要重复触发的高昂 MCP 解析迭代，降低微观响应时延。
|
||||
|
||||
---
|
||||
|
||||
## 📖 文档更新 (Docs)
|
||||
* 本地与 docs 镜像页 (`index.zh.md`, `github-copilot-sdk.zh.md`) 版本同步推至 `0.12.0`。
|
||||
75
scripts/bump_release.py
Normal file
75
scripts/bump_release.py
Normal file
@@ -0,0 +1,75 @@
|
||||
#!/usr/bin/env python3
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
plugin_dir = Path("plugins/pipes/github-copilot-sdk")
|
||||
docs_dir = Path("docs/plugins/pipes")
|
||||
|
||||
new_ver = "0.12.0"
|
||||
old_ver = "0.11.0"
|
||||
|
||||
# Updates definition
|
||||
whats_new_cn = f"""## ✨ v{new_ver}：自适应动作面板、流排重拦截与全链路 TTFT 测定
|
||||
|
||||
- **📊 连续自适应看板 (Adaptive Actions Console)**：在 `.pipe_impl` 挂载了 `interactive_controls` 状态表，引导大模型按逻辑概率有选择性召回旧面板，实现不翻页连续持久化点击操作。
|
||||
- **🛡️ 叠加流排重拦截 (Deduplicate Stream overlap)**：对接 `_dedupe_stream_chunk` 保守重叠裁剪，彻底消除二轮对话流重叠叠加异常。
|
||||
- **⏱️ 分段 Profiling 埋点**：拆装本地预热阻断与云端网络 Trip 数据时间，直观测算 Time-to-First-Byte。
|
||||
- **🧹 消除冗余解析**：剔除 Resume 过程对 MCP 的二次昂贵循环，提效握手微观时延。
|
||||
"""
|
||||
|
||||
whats_new_en = f"""## ✨ v{new_ver}: Adaptive Actions Console, Stream Deduplication & Full TTFT Profiling
|
||||
|
||||
- **📊 Predictive Adaptive Console**: Introduced the `interactive_controls` state table inside local config workspace for the LLM to model continuous decision layouts that do not go stale.
|
||||
- **🛡️ Stream Overlap Deduplication**: Mitigated overlay double delivery issues on `assistant.message_delta` using conservative overlap trimming logic during turn resumptions.
|
||||
- **⏱️ Segmented Profiling Loadtimes**: Fine-grained timers identifying local startup overhead and pure cloud network turnaround time displayed directly in dev consoles.
|
||||
- **🧹 Eliminate Redundancies**: Reduced redundant secondary heavy `_parse_mcp_servers()` loops inside session resumes for faster handshake callbacks.
|
||||
"""
|
||||
|
||||
def update_whats_new(file_path, new_block, old_title_regex):
|
||||
if not file_path.exists():
|
||||
return
|
||||
content = file_path.read_text(encoding="utf-8")
|
||||
# Find the current What's New block.
|
||||
# We look for a line starting with `## ✨ v0.11.0` until the next delimiter or `---`
|
||||
pattern = rf"(## ✨ v?{re.escape(old_ver)}[\s\S]*?)(?=\n---|\n##)"
|
||||
if re.search(pattern, content):
|
||||
new_content = re.sub(pattern, new_block.strip() + "\n", content)
|
||||
file_path.write_text(new_content, encoding="utf-8")
|
||||
print(f"Updated What's New in {file_path}")
|
||||
else:
|
||||
print(f"Could not find What's new block in {file_path}")
|
||||
|
||||
def global_replace_version(file_path):
|
||||
if not file_path.exists():
|
||||
return
|
||||
content = file_path.read_text(encoding="utf-8")
|
||||
new_content = content.replace(old_ver, new_ver)
|
||||
if content != new_content:
|
||||
file_path.write_text(new_content, encoding="utf-8")
|
||||
print(f"Bumped version string in {file_path}")
|
||||
|
||||
# 1. Update What's New
|
||||
update_whats_new(plugin_dir / "README_CN.md", whats_new_cn, f"v{old_ver}")
|
||||
update_whats_new(plugin_dir / "README.md", whats_new_en, f"v{old_ver}")
|
||||
|
||||
# 2. Update Docs What's New
|
||||
update_whats_new(docs_dir / "github-copilot-sdk.zh.md", whats_new_cn, f"v{old_ver}")
|
||||
update_whats_new(docs_dir / "github-copilot-sdk.md", whats_new_en, f"v{old_ver}")
|
||||
|
||||
# 3. Global update everything else
|
||||
files_to_bump = [
|
||||
plugin_dir / "README_CN.md",
|
||||
plugin_dir / "README.md",
|
||||
docs_dir / "github-copilot-sdk.zh.md",
|
||||
docs_dir / "github-copilot-sdk.md",
|
||||
docs_dir / "index.md",
|
||||
docs_dir / "index.zh.md",
|
||||
Path("README.md"),
|
||||
Path("README_CN.md"),
|
||||
]
|
||||
|
||||
for f in files_to_bump:
|
||||
global_replace_version(f)
|
||||
|
||||
print("Updates complete! ✅")
|
||||
@@ -9,7 +9,7 @@ SCRIPT_DIR = Path(__file__).parent
|
||||
ENV_FILE = SCRIPT_DIR / ".env"
|
||||
|
||||
URL = (
|
||||
"http://localhost:3000/api/v1/functions/id/github_copilot_official_sdk_pipe/update"
|
||||
"http://localhost:3003/api/v1/functions/id/github_copilot_official_sdk_pipe/update"
|
||||
)
|
||||
FILE_PATH = SCRIPT_DIR.parent / "plugins/pipes/github-copilot-sdk/github_copilot_sdk.py"
|
||||
|
||||
@@ -103,7 +103,7 @@ def deploy_pipe() -> None:
|
||||
print(
|
||||
f"⚠️ Update failed with status {response.status_code}, attempting to create instead..."
|
||||
)
|
||||
CREATE_URL = "http://localhost:3000/api/v1/functions/create"
|
||||
CREATE_URL = "http://localhost:3003/api/v1/functions/create"
|
||||
res_create = requests.post(
|
||||
CREATE_URL, headers=headers, data=json.dumps(payload)
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user