docs: update documentation, add new filters, remove deprecated plugins
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fujie
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# Gemini Manifold
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<span class="category-badge pipe">Pipe</span>
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<span class="version-badge">v1.0.0</span>
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Integration pipeline for Google's Gemini models with full streaming support.
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---
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## Overview
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The Gemini Manifold pipe provides seamless integration with Google's Gemini AI models. It exposes Gemini models as selectable options in OpenWebUI, allowing you to use them just like any other model.
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## Features
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- :material-google: **Full Gemini Support**: Access all Gemini model variants
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- :material-stream: **Streaming**: Real-time response streaming
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- :material-image: **Multimodal**: Support for images and text
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- :material-shield: **Error Handling**: Robust error management
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- :material-tune: **Configurable**: Customize model parameters
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---
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## Installation
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1. Download the plugin file: [`gemini_manifold.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold)
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2. Upload to OpenWebUI: **Admin Panel** → **Settings** → **Functions**
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3. Configure your Gemini API key
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4. Select Gemini models from the model dropdown
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---
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## Configuration
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| Option | Type | Required | Description |
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|--------|------|----------|-------------|
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| `GEMINI_API_KEY` | string | Yes | Your Google AI Studio API key |
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| `DEFAULT_MODEL` | string | No | Default Gemini model to use |
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| `TEMPERATURE` | float | No | Response temperature (0-1) |
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| `MAX_TOKENS` | integer | No | Maximum response tokens |
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---
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## Available Models
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When configured, the following models become available:
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- `gemini-pro` - Text-only model
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- `gemini-pro-vision` - Multimodal model
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- `gemini-1.5-pro` - Latest Pro model
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- `gemini-1.5-flash` - Fast response model
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---
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## Usage
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1. After installation, go to any chat
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2. Open the model selector dropdown
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3. Look for models prefixed with your pipe name
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4. Select a Gemini model
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5. Start chatting!
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---
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## Getting an API Key
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1. Visit [Google AI Studio](https://makersuite.google.com/app/apikey)
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2. Create a new API key
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3. Copy the key and paste it in the plugin configuration
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!!! warning "API Key Security"
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Keep your API key secure. Never share it publicly or commit it to version control.
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---
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## Companion Filter
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For enhanced functionality, consider installing the [Gemini Manifold Companion](../filters/gemini-manifold-companion.md) filter.
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---
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## Requirements
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!!! note "Prerequisites"
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- OpenWebUI v0.3.0 or later
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- Valid Gemini API key
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- Internet access to Google AI APIs
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---
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## Troubleshooting
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??? question "Models not appearing?"
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Ensure your API key is correctly configured and the plugin is enabled.
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??? question "API errors?"
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Check your API key validity and quota limits in Google AI Studio.
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??? question "Slow responses?"
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Consider using `gemini-1.5-flash` for faster response times.
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---
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## Source Code
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[:fontawesome-brands-github: View on GitHub](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold){ .md-button }
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@@ -1,106 +0,0 @@
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# Gemini Manifold
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<span class="category-badge pipe">Pipe</span>
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<span class="version-badge">v1.0.0</span>
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面向 Google Gemini 模型的集成流水线，支持完整流式返回。
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---
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## 概览
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Gemini Manifold Pipe 提供与 Google Gemini AI 模型的无缝集成。它会将 Gemini 模型作为可选项暴露在 OpenWebUI 中，你可以像使用其他模型一样使用它们。
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## 功能特性
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- :material-google: **完整 Gemini 支持**：可使用所有 Gemini 模型变体
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- :material-stream: **流式输出**：实时流式响应
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- :material-image: **多模态**：支持图像与文本
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- :material-shield: **错误处理**：健壮的错误管理
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- :material-tune: **可配置**：可自定义模型参数
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---
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## 安装
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1. 下载插件文件：[`gemini_manifold.py`](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold)
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2. 上传到 OpenWebUI：**Admin Panel** → **Settings** → **Functions**
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3. 配置你的 Gemini API Key
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4. 在模型下拉中选择 Gemini 模型
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---
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## 配置
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| 选项 | 类型 | 是否必填 | 说明 |
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|--------|------|----------|-------------|
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| `GEMINI_API_KEY` | string | 是 | 你的 Google AI Studio API Key |
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| `DEFAULT_MODEL` | string | 否 | 默认使用的 Gemini 模型 |
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| `TEMPERATURE` | float | 否 | 输出温度（0-1） |
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| `MAX_TOKENS` | integer | 否 | 最大回复 token 数 |
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---
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## 可用模型
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配置完成后，你可以选择以下模型：
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- `gemini-pro` —— 纯文本模型
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- `gemini-pro-vision` —— 多模态模型
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- `gemini-1.5-pro` —— 最新 Pro 模型
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- `gemini-1.5-flash` —— 快速响应模型
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---
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## 使用方法
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1. 安装后进入任意对话
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2. 打开模型选择下拉
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3. 查找以 Pipe 名称前缀的模型
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4. 选择 Gemini 模型
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5. 开始聊天！
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---
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## 获取 API Key
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1. 访问 [Google AI Studio](https://makersuite.google.com/app/apikey)
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2. 创建新的 API Key
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3. 复制并粘贴到插件配置中
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!!! warning "API Key 安全"
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请妥善保管你的 API Key，不要公开或提交到版本库。
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---
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## 伴随过滤器
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如需增强功能，可安装 [Gemini Manifold Companion](../filters/gemini-manifold-companion.md) 过滤器。
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---
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## 运行要求
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!!! note "前置条件"
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- OpenWebUI v0.3.0 及以上
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- 有效的 Gemini API Key
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- 可访问 Google AI API 的网络
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---
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## 常见问题
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??? question "模型没有出现？"
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请确认 API Key 配置正确且插件已启用。
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??? question "出现 API 错误？"
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检查 Google AI Studio 中的 Key 有效性和额度限制。
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??? question "响应较慢？"
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可尝试使用 `gemini-1.5-flash` 获得更快速度。
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---
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## 源码
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[:fontawesome-brands-github: 在 GitHub 查看](https://github.com/Fu-Jie/awesome-openwebui/tree/main/plugins/pipes/gemini_mainfold){ .md-button }
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@@ -15,19 +15,7 @@ Pipes allow you to:
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## Available Pipe Plugins
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<div class="grid cards" markdown>
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- :material-google:{ .lg .middle } **Gemini Manifold**
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---
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Integration pipeline for Google's Gemini models with full streaming support.
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**Version:** 1.0.0
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[:octicons-arrow-right-24: Documentation](gemini-manifold.md)
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</div>
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---
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