feat: release github-copilot-sdk v0.6.0 and files-filter v0.1.2

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fujie
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# GitHub Copilot SDK Files Filter
**Author:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **Version:** 0.1.2 | **Project:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **License:** MIT
This is a dedicated **companion filter plugin** designed specifically for the [GitHub Copilot SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4).
Its core mission is to **protect user-uploaded files from being "pre-processed" by the OpenWebUI core system, ensuring that the Copilot Agent receives the raw files for autonomous analysis.**
## 🎯 Why is this needed?
In OpenWebUI's default workflow, when you upload a file (e.g., PDF, Excel, Python script), OpenWebUI automatically initiates a **RAG (Retrieval-Augmented Generation)** process: parsing the file, vectorizing it, extracting text, and injecting it into the prompt.
While useful for standard models, this is often disruptive for a **Copilot SDK Agent**:
1. **Agent Needs Raw Files**: The Agent may need to run Python code to read an Excel file or analyze a full directory structure, not chopped-up text fragments.
2. **Context Pollution**: Large amounts of text injected by RAG consume tokens and can confuse the Agent about "where the file is."
3. **Control & Performance**: Bypassing the extraction step speeds up the response and gives the Agent full autonomy over how to handle the data.
**This plugin acts as a "bodyguard" to solve these issues.**
## 🚀 How it Works
When you select a Copilot model (name containing `copilot_sdk`) in OpenWebUI and send a file:
1. **Intercept**: This plugin runs with high priority (Priority 0), before RAG and other filters.
2. **Relocate**: Detecting a Copilot model, it moves the `files` list from the request to a secure custom field `copilot_files`.
3. **Hide**: It clears the original `files` field.
4. **Pass**: The OpenWebUI core sees an empty `files` list and **does not trigger RAG**.
5. **Deliver**: The subsequent Copilot SDK Pipe plugin checks `copilot_files`, retrieves file information, and automatically copies them into the Agent's isolated workspace.
## 📦 Installation & Configuration
### 1. Installation
Import this plugin on the OpenWebUI **Functions** page.
### 2. Enable
Ensure this Filter is enabled globally or in chat settings.
### 3. Configuration (Valves)
Default settings work for most users:
| Parameter | Description | Default |
| :--- | :--- | :--- |
| **priority** | Execution priority. **Must be lower than OpenWebUI RAG priority**. | `0` |
| **target_model_keyword** | Keyword to identify Copilot models for interception. | `copilot_sdk` |
## ⚠️ Important Notes
* **Must be used with Copilot SDK Pipe**: If you install this plugin without the main Pipe plugin, uploaded files will simply "disappear" (as no subsequent plugin will look for them).
* **Gemini Filter Compatibility**: Fully compatible with the Gemini Multimodal Filter. Just ensure priorities don't conflict.

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# GitHub Copilot SDK 文件过滤器
**作者:** [Fu-Jie](https://github.com/Fu-Jie/awesome-openwebui) | **版本:** 0.1.2 | **项目:** [Awesome OpenWebUI](https://github.com/Fu-Jie/awesome-openwebui) | **许可证:** MIT
这是一个专门为 [GitHub Copilot SDK Pipe](https://openwebui.com/posts/github_copilot_official_sdk_pipe_ce96f7b4) 设计的**伴侣过滤器插件**。
它的核心使命是:**保护用户上传的文件不被 OpenWebUI 核心系统“抢先处理”,确保 Copilot Agent 能够接收到原始文件并进行自主分析。**
## 🎯 为什么需要它?
在 OpenWebUI 的默认流程中,当你上传一个文件(如 PDF、Excel、Python 脚本OpenWebUI 会自动启动 **RAG检索增强生成** 流程:解析文件、向量化、提取文本并注入到提示词中。
虽然这对普通模型很有用,但对于 **Copilot SDK Agent** 来说,这往往是干扰:
1. **Agent 需要原始文件**Agent 可能需要运行 Python 代码读取 Excel或者分析完整的代码结构而不是被切碎的文本片段。
2. **上下文污染**RAG 注入的大量文本会消耗 Token且容易让 Agent 混淆“文件在哪里”。
3. **控制权与性能**:绕过提取步骤可以加快响应速度,并赋予 Agent 处理数据的完全自主权。
**本插件就是为了解决这个问题而生的“保镖”。**
## 🚀 功能原理
当你在 OpenWebUI 中选择了一个 Copilot 模型(名称包含 `copilot_sdk`)并发送文件时:
1. **拦截 (Intercept)**本插件会以极高的优先级Priority 5运行先于 RAG 和其他过滤器。
2. **搬运 (Relocate)**:它检测到模型是 Copilot便将请求中的 `files`(文件列表)移动到一个安全的自定义字段 `copilot_files` 中。
3. **隐身 (Hide)**:它清空原始的 `files` 字段。
4. **放行 (Pass)**OpenWebUI 核心看到 `files` 为空,便**不会触发 RAG**。
5. **交付 (Deliver)**:后续的 Copilot SDK Pipe 插件会检查 `copilot_files`,从中获取文件信息,并自动将其复制到 Agent 的独立工作区中。
## 📦 安装与配置
### 1. 安装
在 OpenWebUI 的 **Functions** 页面导入此插件。
### 2. 启用
确保在全局或对话设置中启用了此 Filter。
### 3. 配置 (Valves)
| 参数 | 说明 | 默认值 |
| :--- | :--- | :--- |
| **priority** | 过滤器的执行优先级。**必须小于 OpenWebUI RAG 的优先级**。 | `5` |
| **target_model_keyword** | 用户识别 Copilot 模型的关键词。只有包含此关键词的模型才会触发。 | `copilot_sdk` |
## ⚠️ 注意事项
* **必须配合 Copilot SDK Pipe 使用**:如果你没有安装主 Pipe 插件,本插件将导致上传的文件“凭空消失”。
* **Gemini Filter 兼容性**:已完美兼容 Gemini 多模态过滤器。只要优先级设置正确,它们可以共存互不干扰。

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"""
title: GitHub Copilot SDK Files Filter
id: github_copilot_sdk_files_filter
author: Fu-Jie
author_url: https://github.com/Fu-Jie/awesome-openwebui
funding_url: https://github.com/open-webui
version: 0.1.2
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.
"""
from pydantic import BaseModel, Field
from typing import Optional, Callable, Awaitable
class Filter:
class Valves(BaseModel):
priority: int = Field(
default=0,
description="Priority level. Must be lower than RAG processors to intercept files effectively.",
)
target_model_keyword: str = Field(
default="copilot_sdk",
description="Keyword to identify Copilot models (e.g., 'copilot_sdk').",
)
def __init__(self):
self.valves = self.Valves()
async def inlet(
self,
body: dict,
__user__: Optional[dict] = None,
__model__: Optional[dict] = None,
__metadata__: Optional[dict] = None,
__event_emitter__: Callable[[dict], Awaitable[None]] = None,
) -> dict:
# Determine the actual model ID
base_model_id = None
if __model__:
if "openai" in __model__:
base_model_id = __model__["openai"].get("id")
else:
base_model_id = __model__.get("info", {}).get("base_model_id")
current_model = base_model_id if base_model_id else body.get("model", "")
# Check if it's a Copilot model
if self.valves.target_model_keyword.lower() in current_model.lower():
# If files exist, move them to 'copilot_files' and clear 'files'
# This prevents OpenWebUI from triggering RAG on these files
if "files" in body and body["files"]:
file_count = len(body["files"])
if __event_emitter__:
await __event_emitter__(
{
"type": "status",
"data": {
"description": f"Managed {file_count} files for Copilot (RAG Bypassed)",
"done": True,
},
}
)
body["copilot_files"] = body["files"]
body["files"] = []
return body

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"""
title: GitHub Copilot SDK 文件过滤器(GitHub Copilot SDK Files Filter)
id: github_copilot_sdk_files_filter
author: Fu-Jie
author_url: https://github.com/Fu-Jie/awesome-openwebui
funding_url: https://github.com/open-webui
version: 0.1.2
description: 一个专门的过滤器,用于绕过 OpenWebUI 默认的 RAG 机制,针对 GitHub Copilot SDK 模型。它将上传的文件移动到安全位置 ('copilot_files'),以便 Copilot Pipe 可以原生处理它们而不受干扰。
"""
from pydantic import BaseModel, Field
from typing import Optional, Callable, Awaitable
class Filter:
class Valves(BaseModel):
priority: int = Field(
default=0,
description="优先级。必须低于 RAG 处理器的优先级,以便有效拦截文件。",
)
target_model_keyword: str = Field(
default="copilot_sdk",
description="用于识别 Copilot 模型的关键词(例如 'copilot_sdk')。",
)
def __init__(self):
self.valves = self.Valves()
async def inlet(
self,
body: dict,
__user__: Optional[dict] = None,
__model__: Optional[dict] = None,
__metadata__: Optional[dict] = None,
__event_emitter__: Callable[[dict], Awaitable[None]] = None,
) -> dict:
# Determine the actual model ID
base_model_id = None
if __model__:
if "openai" in __model__:
base_model_id = __model__["openai"].get("id")
else:
base_model_id = __model__.get("info", {}).get("base_model_id")
current_model = base_model_id if base_model_id else body.get("model", "")
# Check if it's a Copilot model
if self.valves.target_model_keyword.lower() in current_model.lower():
# If files exist, move them to 'copilot_files' and clear 'files'
# This prevents OpenWebUI from triggering RAG on these files
if "files" in body and body["files"]:
file_count = len(body["files"])
if __event_emitter__:
await __event_emitter__(
{
"type": "status",
"data": {
"description": f"已为 Copilot 管理 {file_count} 个文件 (已绕过 RAG)",
"done": True,
},
}
)
body["copilot_files"] = body["files"]
body["files"] = []
return body

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@@ -3,6 +3,7 @@ title: Gemini 多模态过滤器(含字幕增强)
author: Gemini Adapter
author_url: https://github.com/Fu-Jie
funding_url: https://github.com/Fu-Jie/awesome-openwebui
version: 0.3.2
description: >
一个强大的过滤器,为 OpenWebUI 中的任何模型提供多模态能力PDF、Office、图片、音频、视频等。
@@ -492,6 +493,13 @@ class Filter:
print(
f"🤖 Checking model: {current_model} (Target: {self.valves.target_model_keyword})"
)
# 0. SKIP COPILOT MODELS
# If the model is a Copilot Pipe model, we must NOT process files here.
# Copilot Pipe has its own file handling logic (copy to workspace).
if "copilot_sdk" in current_model.lower():
print(f"⏩ Skipping Gemini Filter for Copilot model: {current_model}")
return body
# Check if model matches target keyword
is_target_model = (