Repository: qyjoy/AI-worker Branch: main Commit: e0d0eeb8eb25 Files: 23 Total size: 256.0 KB Directory structure: gitextract_dmkitj7p/ ├── .github/ │ └── ISSUE_TEMPLATE/ │ ├── cn.yaml │ ├── config.yml │ ├── en.yaml │ └── ru.yaml ├── All in one Portable(outdated)/ │ └── AI-WorkerOldRelease.js ├── LICENSE ├── README.md ├── V3(stable)/ │ ├── api-handler.js │ ├── html-rendererv3.js │ ├── request-handler.js │ ├── utils.js │ └── worker.js ├── V4 EX(For mobile support Expand)/ │ ├── api-handler.js │ ├── html-renderer.js │ ├── request-handler.js │ ├── utils.js │ └── worker.js ├── V4(latest)/ │ ├── api-handler.js │ ├── html-renderer.js │ ├── request-handler.js │ ├── utils.js │ └── worker.js └── autoRenice.sh ================================================ FILE CONTENTS ================================================ ================================================ FILE: .github/ISSUE_TEMPLATE/cn.yaml ================================================ name: ⚠功能性問題回報 description: 回報一個明確的功能性錯誤，例如按鈕無效或邏輯錯誤 title: "標題:請簡要描述問題" labels: [enhancement, question, documentation, invalid, help wanted, functional] body: - type: markdown attributes: value: | 感謝你的提交！請確認你回報的是一個 **功能性問題（functional problem）**，而不是效能、體驗或個人意見等非功能性問題。 - type: dropdown id: issue-type attributes: label: 問題類型 description: 請選擇你回報的問題類型 options: - 功能性(F:Functional)問題（功能邏輯錯誤、按鈕無作用等） - 非功能性(NF:Non-Functional)問題（UI不佳、速度慢、體驗建議等）❌請勿在此提交 default: 0 validations: required: true - type: input id: environment attributes: label: 運行環境 description: 請提供你的瀏覽器、作業系統、版本等資訊 placeholder: 例如：Chrome 123 / macOS 14.4 validations: required: true - type: textarea id: reproduce-steps attributes: label: 重現步驟 description: 請詳述重現問題的步驟 placeholder: | 1. 打開頁面 2. 點擊按鈕X 3. 發生了問題Y validations: required: true - type: textarea id: expected-behavior attributes: label: 預期行為（至少25字，太短可能會被AI自動退回） description: 描述你原本期望看到的結果 validations: required: true - type: textarea id: actual-behavior attributes: label: 實際行為(提供截圖,至少25字，太短可能會被AI自動退回） description: 描述實際出現的狀況(提供截圖) validations: required: true - type: checkboxes id: confirmations attributes: label: 提交確認(如果你確定此issue為BUG，可在標籤label勾選加上'BUG') options: - label: 我確認:這是一個功能性問題，而不是建議或非功能性問題 required: true - label: 我承認並同意:本issue的分類與處理(如Close、標記為invalid)最終解釋權歸本項目貢獻者與維護者所有 required: true ================================================ FILE: .github/ISSUE_TEMPLATE/config.yml ================================================ blank_issues_enabled: false contact_links: - name: ⛔ [RU]Пожалуйста, не отправляйте нефункциональные проблемы здесь url: https://github.com/qyjoy/Gemini-CFworker/discussions about: Для отзывов и предложений по производительности используйте Discussions - name: ⛔ [CN]請勿在此提交非功能性問題 url: https://github.com/qyjoy/Gemini-CFworker/discussions about: 體驗問題、效能建議請移步 Discussions 區域 - name: ⛔ [EN]You are not allowed to report non-functional issues here url: https://github.com/qyjoy/Gemini-CFworker/discussions about: For feedback or performance suggestions, use Discussions ================================================ FILE: .github/ISSUE_TEMPLATE/en.yaml ================================================ name: ⚠Functional Issue Report description: Report a clear functional error, such as a button not working or a logic bug title: "Title: Please briefly describe the issue" labels: [enhancement, question, documentation, invalid, help wanted, functional] body: - type: markdown attributes: value: | Thank you for your submission! Please make sure you're reporting a **functional issue**, not a performance concern, UI feedback, or personal suggestion. - type: dropdown id: issue-type attributes: label: Type of Issue description: Please select the type of problem you're reporting options: - Functional (F): Functional error such as logic bugs or non-working buttons - Non-Functional (NF): UI/UX issues, slowness, suggestions etc. ❌ Please do NOT submit here default: 0 validations: required: true - type: input id: environment attributes: label: Runtime Environment description: Provide your browser, OS, and version placeholder: e.g. Chrome 123 / macOS 14.4 validations: required: true - type: textarea id: reproduce-steps attributes: label: Steps to Reproduce description: Provide detailed steps to reproduce the issue placeholder: | 1. Open the page 2. Click button X 3. Problem Y occurs validations: required: true - type: textarea id: expected-behavior attributes: label: Expected Behavior (at least 50 EN characters, too short may be auto-rejected by AI) description: Describe what you expected to happen validations: required: true - type: textarea id: actual-behavior attributes: label: Actual Behavior (attach screenshot, at least 50 EN characters, too short may be auto-rejected by AI) description: Describe what actually happened (attach screenshot) validations: required: true - type: checkboxes id: confirmations attributes: label: Submission Confirmation (If you’re sure this is a bug, you can add the 'BUG' label) options: - label: I confirm this is a functional issue, not a suggestion or non-functional feedback required: true - label: I acknowledge and agree that the final interpretation and handling (e.g. Close, mark as invalid) of this issue lies with the project contributors and maintainers required: true ================================================ FILE: .github/ISSUE_TEMPLATE/ru.yaml ================================================ name: ⚠Сообщение о функциональной проблеме description: Сообщите о чёткой функциональной ошибке, например, неработающей кнопке или сбое в логике title: "Заголовок: кратко опишите проблему" labels: [enhancement, question, documentation, invalid, help wanted, functional] body: - type: markdown attributes: value: | Спасибо за ваше сообщение! Убедитесь, что вы сообщаете именно о **функциональной проблеме**, а не об общей производительности, удобстве или субъективных предложениях. - type: dropdown id: issue-type attributes: label: Тип проблемы description: Пожалуйста, выберите тип ошибки options: - "Функциональная (F): Ошибки логики, неработающие кнопки и т.п." - "Нефункциональная (NF): UI-проблемы, медленная работа, предложения и т.д. ❌ Не отправлять здесь" default: 0 validations: required: true - type: input id: environment attributes: label: Окружение description: Укажите ваш браузер, операционную систему и версию placeholder: "Chrome 123 / macOS 14.4" validations: required: true - type: textarea id: reproduce-steps attributes: label: Шаги для воспроизведения placeholder: | 1. Откройте страницу 2. Нажмите кнопку X 3. Произошла ошибка Y validations: required: true - type: textarea id: expected-behavior attributes: label: Ожидаемое поведение (минимум 30 символов) validations: required: true maxLength: 200 - type: textarea id: actual-behavior attributes: label: Фактическое поведение (с приложением скриншота) validations: required: true - type: checkboxes id: confirmations attributes: label: Подтверждение отправки options: - label: "Я подтверждаю, что это функциональная проблема" required: true - label: "Я согласен с политикой обработки issue" required: true ================================================ FILE: All in one Portable(outdated)/AI-WorkerOldRelease.js ================================================ // Helper Function for CORS Headers function corsHeaders() {return { "Access-Control-Allow-Origin": "*", // WARNING: Restrict this in production "Access-Control-Allow-Methods": "GET, POST, OPTIONS", "Access-Control-Allow-Headers": "Content-Type", // Add any other headers your client might send }; } function renderHTML() { return ` 輕音Joy-AI公益站

Ultra Gemini ☁ Cloudflare 輕音Joy-AI公益站

抖音 | Bilibili | Youtube | 小红书 | 公众号: 輕音Joy
AI: 你好！请选择一个模型并输入你的请求。

Powered By Cloudflare Worker Serverless(BETA) | © 2025 輕音Joy

`; // End of the main template literal } // End of renderHTML // ========================================================================== // // ===================== CLOUDFLARE WORKER ENTRY POINT ====================== // // ========================================================================== // export default { async fetch(request, env, ctx) { // Assign a unique ID for request tracing const requestId = request.headers.get('cf-ray') || crypto.randomUUID(); const logPrefix = `[${requestId}]`; console.log(`${logPrefix} Worker received request: ${request.method} ${request.url}`); // --- Hardcoded API Key (FOR TESTING ONLY - INSECURE) --- // >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> // >>>>>>>> IMPORTANT: REPLACE WITH YOUR ACTUAL VALID API KEY <<<<<<< // >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> const GEMINI_API_KEY = env.GEMINI_API_KEY; // 检查环境变量是否配置 if (!GEMINI_API_KEY || GEMINI_API_KEY.length < 30) { console.error(`${logPrefix} CRITICAL ERROR: API Key 未配置或无效`); return new Response("Server Configuration Error: Invalid API Key.", { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } // --- CORS Preflight --- if (request.method === "OPTIONS") { console.log(`${logPrefix} Responding to OPTIONS request.`); return new Response(null, { status: 204, headers: corsHeaders() }); } // --- Serve HTML for GET --- if (request.method === "GET") { console.log(`${logPrefix} Responding to GET request with HTML.`); try { const html = renderHTML(); return new Response(html, { headers: { "Content-Type": "text/html; charset=utf-8", ...corsHeaders() }, }); } catch (e) { console.error(`${logPrefix} Error rendering HTML:`, e); return new Response("Internal Server Error rendering page.", { status: 500 }); } } // --- Handle POST for API calls --- if (request.method === "POST") { console.log(`${logPrefix} Processing POST request.`); let requestBody; try { requestBody = await request.json(); // Avoid logging full prompt if sensitive, log excerpt or confirmation console.log(`${logPrefix} Parsed request body. Model: ${requestBody?.model}, Prompt starts with: ${String(requestBody?.prompt).substring(0,30)}...`); } catch (e) { console.error(`${logPrefix} Invalid JSON body received:`, e); return new Response("Invalid JSON body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const { prompt, model } = requestBody; if (!prompt || !model) { console.error(`${logPrefix} Missing prompt or model in request body.`); return new Response("Missing prompt or model in request body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const allowedModels = ["imagen-3.0-generate-002", "gemini-2.5-flash-preview-04-17"]; if (!allowedModels.includes(model)) { console.error(`${logPrefix} Invalid model selected: ${model}`); return new Response(`Invalid model selected: ${model}. Allowed: ${allowedModels.join(", ")}`, { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } // --- Prepare Google API Request --- const isImagen = model.startsWith("imagen"); const apiEndpoint = isImagen ? 'generateContent' : 'streamGenerateContent'; const apiUrl = `https://generativelanguage.googleapis.com/v1beta/models/${model}:${apiEndpoint}?key=${GEMINI_API_KEY}${isImagen ? '' : '&alt=sse'}`; console.log(`${logPrefix} Target API URL: ${apiUrl}`); // Log URL (Key is visible here, acceptable for testing logs) const apiRequestBody = isImagen ? { contents: [{ role: "user", parts: [{ text: prompt }] }], generationConfig: { candidateCount: 1 } } // Request 1 image for Imagen : { contents: [{ parts: [{ text: prompt }] }] }; // Simple content for Gemini // --- Call Google API --- try { console.log(`${logPrefix} Sending request to Google API...`); const apiResponse = await fetch(apiUrl, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(apiRequestBody) }); console.log(`${logPrefix} Google API response status: ${apiResponse.status}, ok: ${apiResponse.ok}`); // --- Handle API Error Response --- if (!apiResponse.ok) { const errorBodyText = await apiResponse.text(); // Read error body console.error(`${logPrefix} Google API Error (${apiResponse.status}): ${errorBodyText}`); let userFriendlyError = `Google API Error (${apiResponse.status})`; try { // Attempt to parse standard Google API error JSON const errorJson = JSON.parse(errorBodyText); userFriendlyError += `: ${errorJson.error?.message || 'Unknown error structure.'}`; } catch (e) { // Fallback to raw text if not JSON userFriendlyError += `: ${errorBodyText.substring(0, 200)}${errorBodyText.length > 200 ? "..." : ""}`; } // Return error TO CLIENT in appropriate format if (isImagen) { // Imagen expects JSON response return new Response(JSON.stringify({ images: [], message: userFriendlyError }), { status: apiResponse.status, // Use original Google status code headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { // Gemini streaming expects text/event-stream on success, return plain text error return new Response(userFriendlyError, { status: apiResponse.status, // Use original Google status code headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } // End API Error Handling // --- Handle API Success Response --- if (isImagen) { // Process Imagen JSON response console.log(`${logPrefix} Processing successful Imagen response.`); const responseBodyText = await apiResponse.text(); let data; try { data = JSON.parse(responseBodyText); // Avoid logging potentially large base64 data unless necessary console.log(`${logPrefix} Parsed Imagen JSON successfully. Candidates count: ${data.candidates?.length}`); } catch (parseError) { console.error(`${logPrefix} Error parsing Imagen JSON response:`, parseError, "Body snippet:", responseBodyText.substring(0, 500)); return new Response(JSON.stringify({ images: [], message: "Internal Server Error: Failed to parse Imagen API response." }), { status: 500, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } // Check for safety blocks or other issues within the 'successful' response if (data.promptFeedback?.blockReason) { console.warn(`${logPrefix} Imagen request blocked: ${data.promptFeedback.blockReason}`); return new Response(JSON.stringify({ images: [], message: `请求被阻止: ${data.promptFeedback.blockReason}` }), { status: 200, // Technically API call succeeded, but content blocked headers: { "Content-Type": "application/json", ...corsHeaders() } }); } // Check if candidates array exists and has content if (!data.candidates || data.candidates.length === 0 || !data.candidates[0].content?.parts) { console.warn(`${logPrefix} Imagen response ok, but no valid candidates/parts found.`); return new Response(JSON.stringify({ images: [], message: "API success, but no generated images found in response." }), { status: 200, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } // Extract image data const imageUrls = data.candidates[0].content.parts .filter(part => part.inlineData?.mimeType?.startsWith("image/")) .map(part => `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`); if (imageUrls.length > 0) { console.log(`${logPrefix} Found ${imageUrls.length} images. Sending JSON response.`); return new Response(JSON.stringify({ images: imageUrls }), { headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { console.warn(`${logPrefix} Imagen response ok and candidates exist, but no image parts found.`); return new Response(JSON.stringify({ images: [], message: "API success, but no image data found in response parts." }), { status: 200, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } } else { // Stream Gemini SSE response console.log(`${logPrefix} Streaming Gemini response back to client.`); // Use TransformStream for pass-through const { readable, writable } = new TransformStream(); // Pipe the response body to the writable end. Handle potential errors during piping. apiResponse.body.pipeTo(writable).catch(err => { console.error(`${logPrefix} Error piping Gemini stream:`, err); // Difficult to signal error back to client once headers are sent }); // Set appropriate headers for SSE const responseHeaders = new Headers({ "Content-Type": "text/event-stream; charset=utf-8", "Cache-Control": "no-cache", "Connection": "keep-alive", ...corsHeaders() // Apply CORS headers }); // Return the readable end of the stream return new Response(readable, { status: 200, // Successful stream initiation headers: responseHeaders }); } // End Gemini Streaming } catch (error) { // Catch network errors during fetch to Google API console.error(`${logPrefix} Worker fetch error calling Google API:`, error); const errorMsg = `Internal Server Error calling Google API: ${error.message}`; if (isImagen) { return new Response(JSON.stringify({ images: [], message: errorMsg }), { status: 500, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { return new Response(errorMsg, { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } } // End POST handler // --- Method Not Allowed --- console.log(`${logPrefix} Method Not Allowed: ${request.method}`); return new Response("Method Not Allowed", { status: 405, headers: { "Allow": "GET, POST, OPTIONS", ...corsHeaders() } }); } // End async fetch }; // End export default ================================================ FILE: LICENSE ================================================ GNU GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. 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The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. But first, please read . ================================================ FILE: README.md ================================================

Cloudflare Workers

Ultra Cloudflare☁️Serverless AI worker

EN: A simple yet powerful Cloudflare Worker to proxy requests to APIs. Enables access to advanced AI models from the edge, securely managing API keys and bypassing regional restrictions.Also available for others popular worker.Gonna have R2 and D2 in the later versions
ZH: 一个简洁而强大的Cloudflare Worker，用于转发API请求至各大AI平台，并且将全球各地的计算节点靠近用户部署，使得您可以从边缘访问高级AI模型，结合KV安全管理API密钥，并绕过地域限制同时支持其他主流平台worker,后期将拓展R2和D1数据库支持
RU:Простой, но мощный Cloudflare Worker для проксирования запросов API. Обеспечивает доступ к передовым ИИ-моделям с периферии, безопасно управляя API-ключами и обходя региональные ограничения. Поддерживает интеграцию с другими Worker-платформами, в будущем планируется расширение с использованием баз данных R2 и D1.

chat GitHub Stars GitHub Issues License Cloudflare Workers Ready Google GeminiGemini

Free, Private Gemini Access via Cloudflare. No VPN needed for restricted Countries. Full Control, with GPL 3.0 protocol
通过Cloudflare免费、私有化访问和管理Gemini~摆脱地域限制无烦恼，完全由自己掌控，原生gemini等AI模型，支持上传图片，录音等

## 🌐 Overview | 概述 Cloudflare Workers
**EN:** This Cloudflare Worker allows you to: * Access Google's powerful AI models from anywhere, including regions where direct access might be challenging. * Securely manage your Google AI API key using Cloudflare's environment variables, keeping it out of client-side code. * Provide a simple, customizable HTML interface for interacting with the AI. * Leverage Cloudflare's global network for potentially lower latency and high scalability. ![image](pic/1.png)
Before: Your area > Not allow to access > AI ×
Now : Your area > Cloudflare Worker > AI √
**ZH:** 此Cloudflare Worker允许您： * 从任何地方访问Google强大的AI模型，包括那些可能难以直接访问的地区。 * 使用Cloudflare的环境变量安全地管理您的AI API(Gemini,ChatGPT等)密钥，避免其暴露在客户端代码中。 * 提供一个简单、可定制的HTML界面与AI进行交互。 * 利用Cloudflare的全球网络实现潜在的低延迟和高可扩展性。 ## 🎈 Features | 功能 ![image](pic/2.png) * **🎯 Proxy AI Requests / 转发AI请求:** * EN:Or you could say it's"Forward AI request", whatever, anyway → Securely routes requests to AIchat and Imagen APIs. * ZH: 安全地将请求API转发到AI源站点 * **🔑 API Key Management / API密钥管理:** * EN: Store your API key securely in Cloudflare Worker environment variables. * ZH: 将您的API密钥安全地存储在Cloudflare Worker环境变量中。 * **📄 Simple HTML Interface / 简单的HTML界面:** * EN: Includes a user-friendly HTML front-end with theme selection for easy interaction. * ZH: 包含一个用户友好的HTML前端，并提供主题选择，方便交互。 * **🔄 CORS Handling / CORS处理:** * EN: Pre-configured to handle Cross-Origin Resource Sharing. * ZH: 已预先配置处理跨域资源共享（CORS）。 * **💨 Supports Streaming / 支持流式传输:** * EN: Handles streaming text responses from models like Gemini/GPT for real-time output. * ZH: 支持从Gemini/GPT等模型获取流式文本响应，实现实时输出。 * **🖼️ Supports Image Generation / 支持图像生成:** * EN: Handles image generation requests and displays results from Imagen. * ZH: 支持处理图像生成请求并显示来自Imagen的结果。 * **🌍 No VPN Proxy Required / 访问无需翻牆挂代理:** * EN: For users in regions with restricted access, this proxy on Cloudflare's network can enable access without a VPN for the end-user. * ZH: 对于某些地区可能无法直接访问Google API的用户，在Cloudflare的网络上部署此代理可以让最终用户无需翻墙即可访问。 ![image](pic/3.jpg) ## 👍 Advantages of using Cloudflare Workers | 使用Cloudflare Worker的优点 **EN:** * **💸 Serverless & Cost-Effective:** No server management needed. The free tier is often generous enough for personal projects. * **⚡ Edge Deployment:** Runs closer to your users, reducing latency and DDos attack barely register thanks to Cloudflare's auto mitigation * **📈 Scalability:** Automatically scales with traffic. * **🚀 Ease of Deployment:** Deploy directly from the Cloudflare dashboard or via Wrangler CLI. * **🔒 Secure API Key Handling:** Keep your API keys safe using encrypted environment variables. ![image](pic/4.png) **ZH:** * **💸 无服务器且经济高效：** 无需管理服务器。免费套餐通常足以满足个人项目需求。 * **⚡ 边缘部署：** 更接近用户运行，减少延迟,抗DDos，支持多种平台worker * **📈 可扩展性：** 随流量自动扩展。 * **🚀 易于部署：** 可直接通过Cloudflare等平台控制台或Wrangler CLI部署。 * **🔒 安全的API密钥处理：** 使用加密的环境变量安全保管您的API密钥。 ## 🚀 Setup & Deployment | 设置与部署 cloudflare icon Follow these steps to deploy your own instance: 请按照以下步骤部署您自己的实例： 1. **Create a Cloudflare Worker | 创建Cloudflare Worker:** * EN: Log in to your Cloudflare dashboard, navigate to "Workers & Pages", and click "Create application", then "Create Worker". Give it a name (e.g., `ultra-ai-proxy`). * ZH: 登录到您的Cloudflare控制台，导航到“Workers & Pages”，点击“创建应用程序”，然后选择“创建Worker”。为其命名（例如 `ultra-ai-proxy`）。 2. **Configure the Worker | 配置Worker:** * EN: Click "Configure Worker" or "Quick edit" for your newly created worker. * ZH: 点击新创建Worker的“配置Worker”或“快速编辑”。 3. **Paste the Code Files | 粘贴代码文件:** * EN: The project is modular. You'll need to create/replace the following files in the Cloudflare online editor with the provided code: * `worker.js` (or `index.js` if that's your main file name in the editor) * `request-handler.js` * `api-handler.js` * `html-renderer.js` * `utils.js` * ZH: 本项目是模块化的。您需要在Cloudflare在线编辑器中创建/替换以下文件，并使用本项目提供的代码： * `worker.js` (如果在编辑器中您的主文件名是 `index.js`，则使用该名称) * `request-handler.js` * `api-handler.js` * `html-renderer.js` * `utils.js` * *(You can find the code for these files in this repository or from where you received them.)* 4. **Add Environment Variable for API Key | 添加API密钥环境变量:** * EN: Go to your Worker's **Settings** tab, then **Variables**. * Under **Environment Variables**, click **"Add variable"**. * **Variable name:** `GEMINI_API_KEY` * **Value:** Your actual Google AI Studio or Google Cloud Vertex AI API Key. * **IMPORTANT:** Click the **"Encrypt"** button next to the value field to secure your API key. ![image](pic/api.png) * ZH: 进入Worker的 **设置 (Settings)** 选项卡, 然后选择 **变量 (Variables)**。 * 在 **环境变量 (Environment Variables)** 部分, 点击 **"添加变量 (Add variable)"**。 * **变量名称 (Variable name):** `GEMINI_API_KEY` * **值 (Value):** 您真实的 Google AI Studio 或 Google Cloud Vertex AI API 密钥。 * **重要：** 点击值字段旁边的 **"加密 (Encrypt)"** 按钮以保护您的API密钥。 5. **Save and Deploy | 保存并部署:** * EN: After adding the code and the environment variable, click the **"Save and Deploy"** button in the editor or on the Worker's settings page. * ZH: 添加代码和环境变量后，在编辑器或Worker的设置页面点击 **"保存并部署 (Save and Deploy)"** 按钮。 Your AI proxy should now be live at the URL provided by Cloudflare (e.g., `your-worker-name.your-subdomain.workers.dev`). 您的AI代理现在应该已在Cloudflare提供的URL上激活（例如 `your-worker-name.your-subdomain.workers.dev`）。 ## 🛠️ Usage | 使用方法 * **EN:** Simply navigate to your Worker's URL in a web browser. You'll see the HTML interface. * Select a model from the dropdown. * Choose a theme. * Type your prompt or image description into the textarea. * Click "发送 Post". * **ZH:** 在网页浏览器中直接访问您的Worker URL。您将看到HTML界面。 * 从下拉菜单中选择一个模型。 * 选择一个主题。 * 在文本区域输入您的问题或画面描述。 * 点击“发送 Post”按钮。 ### Customization | 自定义 * **HTML & CSS:** Modify `html-renderer.js` to change the look and feel of the front-end. * **Models:** Update the `allowedModels` array in `api-handler.js` if new Gemini/Imagen models are released or if you want to restrict options. * **Themes:** Add or modify themes in the `themeConfig` object within the client-side script in `html-renderer.js`. ### 🔄 贡献指南/Contributer 请基于 `discover` 分支开发您的功能并提交 Pull Request。会定期从 `discover` 中精选高质量的更改合并进 `main`。 或联系开发者邮箱:dev@qyjoy.vip ### ⚠️ 澄清：“API 转发 / API 代理” ≠ “网络代理”Clarification: “API Forwarding / API Proxy” ≠ “Network Proxy” **ZH** 有些用户担心本项目因“代理”字样是否违反 Cloudflare 服务条款，这里做一个清晰的技术澄清： 本项目属于**API 转发 / API 代理（API forwarder / proxy）**，**不是网络代理（Network Proxy）**。 - ✅ 它仅转发请求到**特定的公开 API（如 Google 的 Gemini 和 Imagen）** - ❌ 它不支持访问任意网站 - ❌ 它不提供 VPN、SOCKS5、Shadowsocks、Trojan 等网络代理协议或服务 Cloudflare 所禁止的“网络代理”，指的是通用数据转发或翻墙用途的工具。而本项目只是通过 Cloudflare Worker 将 Web 前端请求安全透明地转发给合法 API 服务，功能专一、无滥用空间。 因此，本项目**完全符合 Cloudflare 使用政策**，是 Cloudflare Worker 的标准合规用例。 --- ### 📊 API 转发 vs. 网络代理 对比表 | 特性 / Feature | API Forward (API Proxy) | Network Proxy (VPN/SOCKS/Shadowsocks 等) | |-------------------------------------------|------------------------------------------------|----------------------------------------------| | 🔌 访问范围 | 指定 API 服务（如 Gemini,Imagen,GPT 等） | 任意网站、应用程序、通用网络流量 | | 🔍 ISO Layer | 基于7层的应用转发 | 基于4层的网络包代理 | | 📦 数据内容 | 请求和响应均为结构化 API 数据（如 JSON） | 原始 IP 包或加密流量（如 TCP、UDP） | | 🧠 用途 | 前端→Worker→API 安全转发，用于接口调用 | 匿名访问、翻墙、绕过网络限制 | | 🔐 安全性 | 精确控制目标 API，不可滥用 | 可被用于非法流量、IP 池攻击、绕过审查等 | | 🛠️ 底层协议 | HTTPS 请求转发 | TCP/IP 层或自定义加密隧道协议（如 VPN） | | ☁️ Cloudflare 是否允许使用 | ✅ 是，属于 Cloudflare Worker 正常用途 | ❌ 否，违反 Acceptable Use Policy | | ⚙️ 部署复杂度 | 低：纯 Worker 脚本 + API 配置 | 高：需要服务端、端口映射、防火墙规则等 | | 🎯 示例项目 | Cloudflare Worker 转发 Gemini/chatGPT等 API | Clash、Trojan、V2Ray、Shadowsocks 等工具 | > ✅ 本项目使用的是 **API Forward** 模式，完全符合 Cloudflare 的服务政策，安全、可控、稳定。 **EN:** Some users have asked whether this project violates Cloudflare's Terms of Service because of the term "proxy" being used. Let's clarify: This project is an **API forwarder / API proxy**, not a **network proxy**. - ✅ It only relays requests to **specific public APIs** (e.g., Google Gemini, Imagen, etc.) - ❌ It does **not** allow general access to arbitrary websites - ❌ It does **not** provide tunnels, SOCKS5, Shadowsocks, or VPN-like services In Cloudflare’s terms, a **network proxy** refers to tools that allow general traffic routing and circumvention of regional restrictions. This project does none of that. Therefore, this project **fully complies** with Cloudflare’s Acceptable Use Policy and is a **legitimate use of Cloudflare Workers** to route frontend API requests through serverless infrastructure. > 🔒 This is safe, legal, and compliant. 安全合规，放心部署。 ## 📝 License | 许可证 **EN:** This project is free software: you can redistribute it and/or modify it under the terms of the **GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.** This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . **ZH:** 本项目是自由软件：您可以根据 **自由软件基金会发布的GNU通用公共许可证的条款重新分发和/或修改它，无论是许可证的第3版，还是（根据您的选择）任何更高版本。** 分发本程序是希望它能有用，但没有任何担保；甚至没有对适销性或特定用途适用性的暗示担保。更多详情请参阅GNU通用公共许可证。 您应该已经随本程序收到一份GNU通用公共许可证的副本。如果没有，请参阅 。 You can find the full license text in the [LICENSE](LICENSE) file. 您可以在 [LICENSE](LICENSE) 文件中找到完整的许可证文本。 --- ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=qyjoy/AI-Worker&type=Date)](https://star-history.com/#qyjoy/AI-Worker&Date) ![](https://count.getloli.com/get/@qyjoy.github.readme)

Made with ❤️ by 輕音Joy with AI Optimization
If you find this useful, please consider giving a ⭐!

================================================ FILE: V3(stable)/api-handler.js ================================================ // api-handler.js // Handles communication with the Google Generative AI API. import { corsHeaders } from './utils.js'; export async function handleApiCall(request, env, logPrefix) { console.log(`${logPrefix} Processing POST request for API call.`); let requestBody; try { requestBody = await request.json(); console.log(`${logPrefix} Parsed request body. Model: ${requestBody?.model}, Prompt starts with: ${String(requestBody?.prompt).substring(0, 30)}...`); } catch (e) { console.error(`${logPrefix} Invalid JSON body received:`, e); return new Response("Invalid JSON body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const { prompt, model } = requestBody; if (!prompt || !model) { console.error(`${logPrefix} Missing prompt or model in request body.`); return new Response("Missing prompt or model in request body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } // Extended list of models based on comments in original HTML const allowedModels = [ "gemini-2.5-flash-preview-04-17", // Default and explicitly mentioned "gemini-1.5-pro-preview-0409", "gemini-1.5-flash-preview-0514", "gemini-pro", "gemini-pro-vision", "imagen-3.0-generate-002" // Example Imagen model // Add other specific Imagen model versions if known, e.g., "imagen-..." ]; if (!allowedModels.includes(model) && !model.startsWith("imagen")) { // Allow any model starting with "imagen" for flexibility console.error(`${logPrefix} Invalid model selected: ${model}`); return new Response(`Invalid model selected: ${model}. Allowed: ${allowedModels.join(", ")} or any 'imagen-...' model.`, { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const GEMINI_API_KEY = env.GEMINI_API_KEY; const isImagen = model.startsWith("imagen"); const apiEndpoint = isImagen ? 'generateContent' : 'streamGenerateContent'; // Note: v1beta is used. For stable versions, it might be v1. const apiVersion = "v1beta"; // Or "v1" if you are using stable models without "preview" in their names. const apiUrl = `https://generativelanguage.googleapis.com/${apiVersion}/models/${model}:${apiEndpoint}?key=${GEMINI_API_KEY}${isImagen ? '' : '&alt=sse'}`; console.log(`${logPrefix} Target API URL: ${apiUrl}`); const apiRequestBody = isImagen ? { contents: [{ role: "user", parts: [{ text: prompt }] }], generationConfig: { candidateCount: 1 } } : { contents: [{ parts: [{ text: prompt }] }] }; try { console.log(`${logPrefix} Sending request to Google API...`); const apiResponse = await fetch(apiUrl, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(apiRequestBody) }); console.log(`${logPrefix} Google API response status: ${apiResponse.status}, ok: ${apiResponse.ok}`); if (!apiResponse.ok) { const errorBodyText = await apiResponse.text(); console.error(`${logPrefix} Google API Error (${apiResponse.status}): ${errorBodyText}`); let userFriendlyError = `Google API Error (${apiResponse.status})`; try { const errorJson = JSON.parse(errorBodyText); userFriendlyError += `: ${errorJson.error?.message || 'Unknown error structure.'}`; } catch (e) { userFriendlyError += `: ${errorBodyText.substring(0, 200)}${errorBodyText.length > 200 ? "..." : ""}`; } if (isImagen) { return new Response(JSON.stringify({ images: [], message: userFriendlyError }), { status: apiResponse.status, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { return new Response(userFriendlyError, { status: apiResponse.status, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } if (isImagen) { console.log(`${logPrefix} Processing successful Imagen response.`); const responseBodyText = await apiResponse.text(); let data; try { data = JSON.parse(responseBodyText); console.log(`${logPrefix} Parsed Imagen JSON successfully. Candidates count: ${data.candidates?.length}`); } catch (parseError) { console.error(`${logPrefix} Error parsing Imagen JSON response:`, parseError, "Body snippet:", responseBodyText.substring(0, 500)); return new Response(JSON.stringify({ images: [], message: "Internal Server Error: Failed to parse Imagen API response." }), { status: 500, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } if (data.promptFeedback?.blockReason) { console.warn(`${logPrefix} Imagen request blocked: ${data.promptFeedback.blockReason}`); return new Response(JSON.stringify({ images: [], message: `请求被阻止: ${data.promptFeedback.blockReason}` }), { status: 200, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } if (!data.candidates || data.candidates.length === 0 || !data.candidates[0].content?.parts) { console.warn(`${logPrefix} Imagen response ok, but no valid candidates/parts found.`); return new Response(JSON.stringify({ images: [], message: "API success, but no generated images found in response." }), { status: 200, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } const imageUrls = data.candidates[0].content.parts .filter(part => part.inlineData?.mimeType?.startsWith("image/")) .map(part => `data:${part.inlineData.mimeType};base64,${part.inlineData.data}`); if (imageUrls.length > 0) { console.log(`${logPrefix} Found ${imageUrls.length} images. Sending JSON response.`); return new Response(JSON.stringify({ images: imageUrls }), { headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { console.warn(`${logPrefix} Imagen response ok and candidates exist, but no image parts found.`); return new Response(JSON.stringify({ images: [], message: "API success, but no image data found in response parts." }), { status: 200, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } } else { // Gemini SSE stream console.log(`${logPrefix} Streaming Gemini response back to client.`); const { readable, writable } = new TransformStream(); apiResponse.body.pipeTo(writable).catch(err => { console.error(`${logPrefix} Error piping Gemini stream:`, err); }); const responseHeaders = new Headers({ "Content-Type": "text/event-stream; charset=utf-8", "Cache-Control": "no-cache", "Connection": "keep-alive", ...corsHeaders() }); return new Response(readable, { status: 200, headers: responseHeaders }); } } catch (error) { console.error(`${logPrefix} Worker fetch error calling Google API:`, error); const errorMsg = `Internal Server Error calling Google API: ${error.message}`; if (isImagen) { return new Response(JSON.stringify({ images: [], message: errorMsg }), { status: 500, headers: { "Content-Type": "application/json", ...corsHeaders() } }); } else { return new Response(errorMsg, { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } } ================================================ FILE: V3(stable)/html-rendererv3.js ================================================ // html-renderer.js// Generates the complete HTML page, including CSS and client-side JavaScript.// CSS styles for the page const getStyles = () => ` `; // Client-side JavaScript const getClientScript = () => ` `; // Main HTML structure export function renderHTML() { const styles = getStyles(); const clientScript = getClientScript(); return ` 輕音Joy-AI公益站 ${styles}

Ultra AI ☁ Cloudflare 輕音Joy-AI公益站

抖音 | Bilibili | Youtube | 小红书 | 公众号: 輕音Joy
AI:你好!请选择一个模型并输入任意问题😀

Hi! Get started by selecting any models and input whatever you want!

Powered By Cloudflare ☁ Serverless | © 2025 輕音Joy

${clientScript} `; } ================================================ FILE: V3(stable)/request-handler.js ================================================ // request-handler.js // Handles incoming requests, routing, and basic validation. import { renderHTML } from './html-renderer.js'; import { handleApiCall } from './api-handler.js'; import { corsHeaders } from './utils.js'; export async function handleRequest(request, env, ctx, logPrefix) { // --- API Key Check --- const GEMINI_API_KEY = env.GEMINI_API_KEY; if (!GEMINI_API_KEY || GEMINI_API_KEY.length < 30) { console.error(`${logPrefix} CRITICAL ERROR: API Key 未配置或无效`); return new Response("Server Configuration Error: Invalid API Key.", { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } // --- CORS Preflight --- if (request.method === "OPTIONS") { console.log(`${logPrefix} Responding to OPTIONS request.`); return new Response(null, { status: 204, headers: corsHeaders() }); } // --- Serve HTML for GET --- if (request.method === "GET") { console.log(`${logPrefix} Responding to GET request with HTML.`); try { const html = renderHTML(); return new Response(html, { headers: { "Content-Type": "text/html; charset=utf-8", ...corsHeaders() }, }); } catch (e) { console.error(`${logPrefix} Error rendering HTML:`, e); return new Response("Internal Server Error rendering page.", { status: 500, headers: corsHeaders() }); } } // --- Handle POST for API calls --- if (request.method === "POST") { return handleApiCall(request, env, logPrefix); } // --- Method Not Allowed --- console.log(`${logPrefix} Method Not Allowed: ${request.method}`); return new Response("Method Not Allowed", { status: 405, headers: { "Allow": "GET, POST, OPTIONS", ...corsHeaders() } }); } ================================================ FILE: V3(stable)/utils.js ================================================ // utils.js // Utility functions for the worker. export function corsHeaders() { return { "Access-Control-Allow-Origin": "*", // WARNING: Restrict this in production for security "Access-Control-Allow-Methods": "GET, POST, OPTIONS", "Access-Control-Allow-Headers": "Content-Type, Authorization", // Added Authorization as an example, include any other custom headers }; } ================================================ FILE: V3(stable)/worker.js ================================================ // worker.js // Main entry point for the Cloudflare Worker. import { handleRequest } from './request-handler.js'; export default { async fetch(request, env, ctx) { // Assign a unique ID for request tracing const requestId = request.headers.get('cf-ray') || crypto.randomUUID(); const logPrefix = `[${requestId}]`; console.log(`${logPrefix} Worker received request: ${request.method} ${request.url}`); // Delegate to the request handler return handleRequest(request, env, ctx, logPrefix); } }; ================================================ FILE: V4 EX(For mobile support Expand)/api-handler.js ================================================ import { corsHeaders } from './utils.js'; export async function handleApiCall(request, env, logPrefix) { console.log(logPrefix + " Processing POST request for API call."); let requestBody; try { requestBody = await request.json(); console.log(logPrefix + " Parsed request body. Model: " + requestBody?.model); } catch (e) { console.error(logPrefix + " Invalid JSON body received:", e); return new Response("Invalid JSON body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const { model, history, currentTurnParts, customApiKey } = requestBody; if (!model || !currentTurnParts || !Array.isArray(currentTurnParts)) { console.error(logPrefix + " Missing model or currentTurnParts in request body."); return new Response("Missing model or currentTurnParts in request body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const allowedModels = [ "gemini-2.0-flash", "gemini-2.5-flash-preview-05-20", "gemini-2.5-pro-preview-06-05", "gemini-2.0-flash-preview-image-generation", "veo-2.0-generate-001" ]; if (!allowedModels.includes(model)) { console.error(logPrefix + " Invalid model selected: " + model); return new Response("Invalid model selected: " + model + ". Allowed: " + allowedModels.join(", "), { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const GEMINI_API_KEY = customApiKey || env.GEMINI_API_KEY; if (!GEMINI_API_KEY) { console.error(logPrefix + " CRITICAL ERROR: API Key not available (neither custom nor server default)."); return new Response("Server Configuration Error: API Key not available.", { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } let apiEndpoint = "streamGenerateContent"; let isStreaming = true; if (model === "gemini-2.0-flash-preview-image-generation") { apiEndpoint = "generateContent"; isStreaming = false; } else if (model === "veo-2.0-generate-001") { apiEndpoint = "generateVideo"; isStreaming = false; } const apiVersion = "v1beta"; const apiUrl = `https://generativelanguage.googleapis.com/${apiVersion}/models/${model}:${apiEndpoint}?key=${GEMINI_API_KEY}` + (isStreaming ? "&alt=sse" : ""); console.log(logPrefix + " Target API URL: " + apiUrl); const contentsForApi = []; if (history && Array.isArray(history)) { history.forEach(turn => { if (turn.role && turn.parts) { contentsForApi.push({ role: turn.role, parts: turn.parts }); } }); } const systemPrompt = "answer in 中文"; // 这里可以根据需要修改提示词 you can set your own prompt here let promptedUserParts = [...currentTurnParts]; if (promptedUserParts.length > 0 && typeof promptedUserParts[0].text === 'string') { promptedUserParts[0] = { ...promptedUserParts[0], text: systemPrompt + " " + promptedUserParts[0].text }; } else { promptedUserParts.unshift({ text: systemPrompt }); } contentsForApi.push({ role: "user", parts: promptedUserParts }); const apiRequestBody = {contents: contentsForApi,}; try { console.log(logPrefix + " Sending request to Google API..."); const apiResponse = await fetch(apiUrl, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(apiRequestBody) }); console.log(logPrefix + " Google API response status: " + apiResponse.status + ", ok: " + apiResponse.ok); if (!apiResponse.ok) { const errorBodyText = await apiResponse.text(); console.error(logPrefix + " Google API Error (" + apiResponse.status + "): " + errorBodyText); let userFriendlyError = "Google API Error (" + apiResponse.status + ")"; try { const errorJson = JSON.parse(errorBodyText); if (errorJson.error && errorJson.error.message) { userFriendlyError += ": " + errorJson.error.message; } else { userFriendlyError += ": " + errorBodyText.substring(0, 200) + (errorBodyText.length > 200 ? "..." : ""); } } catch (e) { userFriendlyError += ": " + errorBodyText.substring(0, 200) + (errorBodyText.length > 200 ? "..." : ""); } return new Response(userFriendlyError, { status: apiResponse.status, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } console.log(logPrefix + " Streaming Gemini response back to client."); const { readable, writable } = new TransformStream(); apiResponse.body.pipeTo(writable).catch(err => { console.error(logPrefix + " Error piping Gemini stream:", err); }); const responseHeaders = new Headers({ "Content-Type": "text/event-stream; charset=utf-8", "Cache-Control": "no-cache", "Connection": "keep-alive", ...corsHeaders() }); return new Response(readable, { status: 200, headers: responseHeaders }); } catch (error) { console.error(logPrefix + " Worker fetch error calling Google API:", error); const errorMsg = "Internal Server Error calling Google API: " + error.message; return new Response(errorMsg, { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } ================================================ FILE: V4 EX(For mobile support Expand)/html-renderer.js ================================================ const getStyles = () => ` `; const getClientScript = () => ` `; // Main HTML structure export function renderHTML(isMobile) { const styles = getStyles(); const clientScript = getClientScript(); const viewportMeta = isMobile ? ' ' : ''; return ` ${viewportMeta} 輕音Joy-AI公益站 ` + styles + `

Ultra AI ☁ Cloudflare 輕音Joy-AI公益站

Serverless Powered By ⚡ 抖音|Bilibili|Youtube|网易云|公众号:輕音Joy
` + clientScript + ` `; } ================================================ FILE: V4 EX(For mobile support Expand)/request-handler.js ================================================ // request-handler.js // Handles incoming requests, routing, and basic validation. import { renderHTML } from './html-renderer.js'; import { handleApiCall } from './api-handler.js'; import { corsHeaders } from './utils.js'; export async function handleRequest(request, env, ctx, logPrefix, isMobile) { // --- API Key Check (for default key) --- const DEFAULT_GEMINI_API_KEY = env.GEMINI_API_KEY; if (!DEFAULT_GEMINI_API_KEY || DEFAULT_GEMINI_API_KEY.length < 30) { // This is a warning if not set, as user can provide their own. // However, if it's set but invalid, that's a config issue. console.warn(logPrefix + " Default GEMINI_API_KEY is not configured or appears invalid. Users must provide their own key for the service to function without a custom key."); // The service can still run if users provide their own key. // If you want to make default key mandatory for the service to even start, then make this an error. } // --- CORS Preflight --- if (request.method === "OPTIONS") { console.log(logPrefix + " Responding to OPTIONS request."); return new Response(null, { status: 204, headers: corsHeaders() }); } // --- Serve HTML for GET --- if (request.method === "GET") { console.log(logPrefix + " Responding to GET request with HTML."); try { const html = renderHTML(isMobile); return new Response(html, { headers: { "Content-Type": "text/html; charset=utf-8", ...corsHeaders() }, }); } catch (e) { console.error(logPrefix + " Error rendering HTML:", e); return new Response("Internal Server Error rendering page.", { status: 500, headers: corsHeaders() }); } } // --- Handle POST for API calls --- if (request.method === "POST") { return handleApiCall(request, env, logPrefix); } // --- Method Not Allowed --- console.log(logPrefix + " Method Not Allowed: " + request.method); return new Response("Method Not Allowed", { status: 405, headers: { "Allow": "GET, POST, OPTIONS", ...corsHeaders() } }); } ================================================ FILE: V4 EX(For mobile support Expand)/utils.js ================================================ // utils.js // Utility functions for the worker. export function corsHeaders() { return { "Access-Control-Allow-Origin": "*", "Access-Control-Allow-Methods": "GET, POST, OPTIONS", "Access-Control-Allow-Headers": "Content-Type, Authorization", }; } ================================================ FILE: V4 EX(For mobile support Expand)/worker.js ================================================ // worker.js // Main entry point for the Cloudflare Worker. import { handleRequest } from './request-handler.js'; export default { async fetch(request, env, ctx) { const requestId = request.headers.get('cf-ray') || crypto.randomUUID(); const logPrefix = "[" + requestId + "]"; const userAgent = request.headers.get('User-Agent') || ''; // Simple mobile detection const isMobile = /android|webos|iphone|ipad|ipod|blackberry|iemobile|opera mini/i.test(userAgent); console.log(logPrefix + " Worker received request: " + request.method + " " + request.url + (isMobile ? " (Mobile UA detected)" : "")); // Pass the isMobile flag to handleRequest return handleRequest(request, env, ctx, logPrefix, isMobile); } }; ================================================ FILE: V4(latest)/api-handler.js ================================================ // api-handler.js // Handles communication with the Google Generative AI API. import { corsHeaders } from './utils.js'; export async function handleApiCall(request, env, logPrefix) { console.log(logPrefix + " Processing POST request for API call."); let requestBody; try { requestBody = await request.json(); console.log(logPrefix + " Parsed request body. Model: " + requestBody?.model); } catch (e) { console.error(logPrefix + " Invalid JSON body received:", e); return new Response("Invalid JSON body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const { model, history, currentTurnParts, customApiKey } = requestBody; // 'prompt' from requestBody is not directly used for API call structure, // 'currentTurnParts' and 'history' are used instead. if (!model || !currentTurnParts || !Array.isArray(currentTurnParts)) { console.error(logPrefix + " Missing model or currentTurnParts in request body."); return new Response("Missing model or currentTurnParts in request body.", { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const allowedModels = [ "gemini-2.5-flash-preview-04-17", "gemini-2.5-pro-preview-05-06" ]; if (!allowedModels.includes(model)) { console.error(logPrefix + " Invalid model selected: " + model); return new Response("Invalid model selected: " + model + ". Allowed: " + allowedModels.join(", "), { status: 400, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const GEMINI_API_KEY = customApiKey || env.GEMINI_API_KEY; if (!GEMINI_API_KEY) { console.error(logPrefix + " CRITICAL ERROR: API Key not available (neither custom nor server default)."); return new Response("Server Configuration Error: API Key not available.", { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } const apiEndpoint = 'streamGenerateContent'; // Always streaming for these models const apiVersion = "v1beta"; const apiUrl = "https://generativelanguage.googleapis.com/" + apiVersion + "/models/" + model + ":" + apiEndpoint + "?key=" + GEMINI_API_KEY + "&alt=sse"; console.log(logPrefix + " Target API URL: " + apiUrl); const contentsForApi = []; if (history && Array.isArray(history)) { history.forEach(turn => { if (turn.role && turn.parts) { contentsForApi.push({ role: turn.role, parts: turn.parts }); } }); } // Add current user turn contentsForApi.push({ role: "user", parts: currentTurnParts }); // Log contents structure before sending for debugging // console.log(logPrefix + " API Request Contents: " + JSON.stringify(contentsForApi, null, 2)); const apiRequestBody = { contents: contentsForApi, // Optional: Add generationConfig if needed // generationConfig: { // temperature: 0.7, // topK: 1, // topP: 1, // maxOutputTokens: 2048, // } }; try { console.log(logPrefix + " Sending request to Google API..."); const apiResponse = await fetch(apiUrl, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(apiRequestBody) }); console.log(logPrefix + " Google API response status: " + apiResponse.status + ", ok: " + apiResponse.ok); if (!apiResponse.ok) { const errorBodyText = await apiResponse.text(); console.error(logPrefix + " Google API Error (" + apiResponse.status + "): " + errorBodyText); let userFriendlyError = "Google API Error (" + apiResponse.status + ")"; try { const errorJson = JSON.parse(errorBodyText); if (errorJson.error && errorJson.error.message) { userFriendlyError += ": " + errorJson.error.message; } else { userFriendlyError += ": " + errorBodyText.substring(0, 200) + (errorBodyText.length > 200 ? "..." : ""); } } catch (e) { userFriendlyError += ": " + errorBodyText.substring(0, 200) + (errorBodyText.length > 200 ? "..." : ""); } return new Response(userFriendlyError, { status: apiResponse.status, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } console.log(logPrefix + " Streaming Gemini response back to client."); const { readable, writable } = new TransformStream(); apiResponse.body.pipeTo(writable).catch(err => { console.error(logPrefix + " Error piping Gemini stream:", err); }); const responseHeaders = new Headers({ "Content-Type": "text/event-stream; charset=utf-8", "Cache-Control": "no-cache", "Connection": "keep-alive", ...corsHeaders() }); return new Response(readable, { status: 200, headers: responseHeaders }); } catch (error) { console.error(logPrefix + " Worker fetch error calling Google API:", error); const errorMsg = "Internal Server Error calling Google API: " + error.message; return new Response(errorMsg, { status: 500, headers: { "Content-Type": "text/plain; charset=utf-8", ...corsHeaders() } }); } } ================================================ FILE: V4(latest)/html-renderer.js ================================================ // html-renderer.js // Generates the complete HTML page, including CSS and client-side JavaScript. // CSS styles for the page const getStyles = () => ` `; // Client-side JavaScript const getClientScript = () => ` `; // Main HTML structure export function renderHTML() { const styles = getStyles(); const clientScript = getClientScript(); return ` 輕音Joy-AI公益站 ` + styles + `

Ultra AI ☁ Cloudflare 輕音Joy-AI公益站

抖音 | Bilibili | Youtube | 小红书 | 公众号: 輕音Joy

Powered By Cloudflare ☁ Serverless | © 2025 輕音Joy

` + clientScript + ` `; } ================================================ FILE: V4(latest)/request-handler.js ================================================ // request-handler.js // Handles incoming requests, routing, and basic validation. import { renderHTML } from './html-renderer.js'; import { handleApiCall } from './api-handler.js'; import { corsHeaders } from './utils.js'; export async function handleRequest(request, env, ctx, logPrefix) { // --- API Key Check (for default key) --- const DEFAULT_GEMINI_API_KEY = env.GEMINI_API_KEY; if (!DEFAULT_GEMINI_API_KEY || DEFAULT_GEMINI_API_KEY.length < 30) { // This is a warning if not set, as user can provide their own. // However, if it's set but invalid, that's a config issue. console.warn(logPrefix + " Default GEMINI_API_KEY is not configured or appears invalid. Users must provide their own key for the service to function without a custom key."); // The service can still run if users provide their own key. // If you want to make default key mandatory for the service to even start, then make this an error. } // --- CORS Preflight --- if (request.method === "OPTIONS") { console.log(logPrefix + " Responding to OPTIONS request."); return new Response(null, { status: 204, headers: corsHeaders() }); } // --- Serve HTML for GET --- if (request.method === "GET") { console.log(logPrefix + " Responding to GET request with HTML."); try { const html = renderHTML(); return new Response(html, { headers: { "Content-Type": "text/html; charset=utf-8", ...corsHeaders() }, }); } catch (e) { console.error(logPrefix + " Error rendering HTML:", e); return new Response("Internal Server Error rendering page.", { status: 500, headers: corsHeaders() }); } } // --- Handle POST for API calls --- if (request.method === "POST") { return handleApiCall(request, env, logPrefix); } // --- Method Not Allowed --- console.log(logPrefix + " Method Not Allowed: " + request.method); return new Response("Method Not Allowed", { status: 405, headers: { "Allow": "GET, POST, OPTIONS", ...corsHeaders() } }); } ================================================ FILE: V4(latest)/utils.js ================================================ // utils.js // Utility functions for the worker. export function corsHeaders() { return { "Access-Control-Allow-Origin": "*", "Access-Control-Allow-Methods": "GET, POST, OPTIONS", "Access-Control-Allow-Headers": "Content-Type, Authorization", }; } ================================================ FILE: V4(latest)/worker.js ================================================ // worker.js // Main entry point for the Cloudflare Worker. import { handleRequest } from './request-handler.js'; export default { async fetch(request, env, ctx) { const requestId = request.headers.get('cf-ray') || crypto.randomUUID(); const logPrefix = "[" + requestId + "]"; console.log(logPrefix + " Worker received request: " + request.method + " " + request.url); return handleRequest(request, env, ctx, logPrefix); } }; ================================================ FILE: autoRenice.sh ================================================ #!/bin/bash set -e set -o pipefail PATH=/bin:/sbin:/usr/bin:/usr/sbin:/usr/local/bin:/usr/local/sbin:~/bin export PATH # Color definitions RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[0;33m' BLUE='\033[0;34m' FONT_RESET='\033[0m' # Supported video extensions VIDEO_EXTENSIONS=("mp4" "mkv" "webm" "avi" "mov" "flv" "ts" "mpg" "mpeg" "wmv") command_exists() { command -v "$1" >/dev/null 2>&1; } ffmpeg_check_install() { if command_exists ffmpeg; then echo -e "${GREEN}FFmpeg is already installed.${FONT_RESET}" if [ -x /usr/bin/ffmpeg ]; then FFMPEG_PATH="/usr/bin/ffmpeg" elif [ -x /usr/local/bin/ffmpeg ]; then FFMPEG_PATH="/usr/local/bin/ffmpeg" else FFMPEG_PATH=$(command -v ffmpeg) fi echo -e "${GREEN}Current FFmpeg version:${FONT_RESET}" "$FFMPEG_PATH" -version | head -n 1 read -p "$(echo -e "${YELLOW}Skip FFmpeg installation/update? (yes/no, default: yes): ${FONT_RESET}")" skip_ffmpeg_install skip_ffmpeg_install=${skip_ffmpeg_install:-yes} if [[ "${skip_ffmpeg_install,,}" == "no" ]]; then install_latest_ffmpeg else echo -e "${GREEN}Skipping FFmpeg installation/update.${FONT_RESET}" fi else echo -e "${YELLOW}FFmpeg not found.${FONT_RESET}" install_latest_ffmpeg fi } install_latest_ffmpeg() { echo -e "${BLUE}Installing/updating FFmpeg (John Van Sickle static build)...${FONT_RESET}" echo -e "${YELLOW}This downloads a pre-compiled static build for best codec support.${FONT_RESET}" read -p "$(echo -e "${YELLOW}Proceed with download/install? (yes/no): ${FONT_RESET}")" confirm_install if [[ "${confirm_install,,}" != "yes" ]]; then echo -e "${RED}Aborted by user. The script may not work without FFmpeg.${FONT_RESET}" return 1 fi local SUDO_CMD="" if command_exists sudo; then SUDO_CMD="sudo" elif [ "$(id -u)" -ne 0 ]; then echo -e "${RED}sudo not found and not root. Please install sudo or run as root.${FONT_RESET}" return 1 fi $SUDO_CMD apt update $SUDO_CMD apt install -y wget tar xz-utils curl ARCH=$(uname -m) FFMPEG_STATIC_URL="" if [ "$ARCH" = "x86_64" ]; then FFMPEG_STATIC_URL="https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-amd64-static.tar.xz" elif [ "$ARCH" = "aarch64" ]; then FFMPEG_STATIC_URL="https://johnvansickle.com/ffmpeg/releases/ffmpeg-release-arm64-static.tar.xz" else echo -e "${RED}Unsupported architecture: $ARCH. Install FFmpeg manually.${FONT_RESET}" return 1 fi echo -e "${BLUE}Downloading FFmpeg from ${FFMPEG_STATIC_URL}...${FONT_RESET}" cd /tmp if wget -q --show-progress --progress=bar:force:noscroll -O ffmpeg-static.tar.xz "$FFMPEG_STATIC_URL"; then echo -e "${GREEN}Download complete. Extracting...${FONT_RESET}" rm -rf ffmpeg-*-static if tar -xf ffmpeg-static.tar.xz; then EXTRACTED_DIR=$(find . -maxdepth 1 -type d -name "ffmpeg-*-static" -print -quit) if [ -d "$EXTRACTED_DIR" ]; then echo -e "${GREEN}Moving ffmpeg and ffprobe to /usr/local/bin/...${FONT_RESET}" $SUDO_CMD mv "$EXTRACTED_DIR/ffmpeg" /usr/local/bin/ $SUDO_CMD mv "$EXTRACTED_DIR/ffprobe" /usr/local/bin/ $SUDO_CMD chmod +x /usr/local/bin/ffmpeg /usr/local/bin/ffprobe echo -e "${GREEN}FFmpeg installed/updated successfully!${FONT_RESET}" ffmpeg -version | head -n 1 else echo -e "${RED}Extracted FFmpeg directory not found.${FONT_RESET}"; rm -f ffmpeg-static.tar.xz; return 1 fi rm -rf "$EXTRACTED_DIR" ffmpeg-static.tar.xz; cd - > /dev/null else echo -e "${RED}Failed to extract FFmpeg archive.${FONT_RESET}"; rm -f ffmpeg-static.tar.xz; return 1 fi else echo -e "${RED}Failed to download FFmpeg.${FONT_RESET}"; return 1 fi } stream_start() { echo -e "${BLUE}Stream setup...${FONT_RESET}" local full_rtmp_url video_folder while true; do read -p "$(echo -e "${YELLOW}Enter full RTMP URL (e.g., rtmp://a.rtmp.youtube.com/live2/xxxx-xxxx): ${FONT_RESET}")" full_rtmp_url_raw # 去除前后空格、不可见字符 full_rtmp_url=$(echo "$full_rtmp_url_raw" | tr -d '\r\n\t' | sed 's/^[[:space:]]*//;s/[[:space:]]*$//') # 基本校验 if [[ "$full_rtmp_url" =~ ^rtmp(s)?://.+ ]]; then # 自动去除多余的重复斜杠（比如/xxxx//xxxx -> /xxxx/xxxx） full_rtmp_url=$(echo "$full_rtmp_url" | sed 's#//*#/#g;s#:/#://#') echo -e "${GREEN}RTMP URL: ${BLUE}${full_rtmp_url}${FONT_RESET}" break else echo -e "${RED}Invalid RTMP URL. Must start with 'rtmp://' or 'rtmps://'. Try again.${FONT_RESET}" fi done while true; do read -p "$(echo -e "${YELLOW}Enter video directory (absolute path, e.g., /opt/videos): ${FONT_RESET}")" video_folder if [ -d "$video_folder" ]; then echo -e "${GREEN}Video directory: $video_folder${FONT_RESET}"; break else echo -e "${RED}Directory not found: $video_folder. Try again.${FONT_RESET}" fi done echo -e "${BLUE}Starting infinite streaming loop. Press Ctrl+C to stop.${FONT_RESET}" while true; do echo -e "${GREEN}Searching and shuffling videos in '$video_folder'...${FONT_RESET}" local find_options_str="" for ext_idx in "${!VIDEO_EXTENSIONS[@]}"; do if [ "$ext_idx" -eq 0 ]; then find_options_str="-iname \"*.${VIDEO_EXTENSIONS[$ext_idx]}\"" else find_options_str="$find_options_str -o -iname \"*.${VIDEO_EXTENSIONS[$ext_idx]}\"" fi done mapfile -t video_files < <(eval "find \"$video_folder\" -type f \( $find_options_str \) -print0" | shuf -z | xargs -0 -r printf "%s\n") if [ ${#video_files[@]} -eq 0 ]; then echo -e "${RED}No video files found. Waiting 15s...${FONT_RESET}"; sleep 15; continue fi echo -e "${GREEN}Found ${#video_files[@]} video files. Starting playback cycle.${FONT_RESET}" for video_file in "${video_files[@]}"; do echo -e "${BLUE}--------------------------------------------------${FONT_RESET}" echo -e "${GREEN}Streaming: $video_file${FONT_RESET}" echo -e "${GREEN}RTMP: $full_rtmp_url${FONT_RESET}" ffmpeg -hide_banner \ -nostdin \ -analyzeduration 10M -probesize 10M \ -i "$video_file" -vf "scale=1280:720" -r 35 \ -c:v libx264 -preset ultrafast -tune zerolatency -pix_fmt yuv420p \ -maxrate 4250k -bufsize 80000k -g 70 -keyint_min 70 -sc_threshold 0 \ -c:a aac -b:a 128k -ar 44100 \ -threads 0 \ -f flv "$full_rtmp_url" & pid=$! echo -e "${YELLOW}FFmpeg PID: $pid${FONT_RESET}" sleep 3 ionice -c 2 -n 0 -p "$pid" renice -n -20 -p "$pid" >/dev/null wait "$pid" echo -e "${BLUE}---------------- FFmpeg ended --------------------${FONT_RESET}" sleep 0 done echo -e "${YELLOW}Cycle complete. Re-shuffling and starting again...${FONT_RESET}" sleep 0 done } stream_stop() { echo -e "${YELLOW}Stopping FFmpeg processes...${FONT_RESET}" local killed_processes=false if pgrep -f "ffmpeg -hide_banner -re -nostdin.*-f flv rtmp(s)?://" > /dev/null; then echo -e "${BLUE}Attempting graceful stop (SIGTERM)...${FONT_RESET}" pkill -SIGTERM -f "ffmpeg -hide_banner -re -nostdin.*-f flv rtmp(s)?://" && sleep 2 if pgrep -f "ffmpeg -hide_banner -re -nostdin.*-f flv rtmp(s)?://" > /dev/null; then echo -e "${YELLOW}Forceful stop (SIGKILL)...${FONT_RESET}" pkill -SIGKILL -f "ffmpeg -hide_banner -re -nostdin.*-f flv rtmp(s)?://" fi echo -e "${GREEN}Targeted FFmpeg processes stopped.${FONT_RESET}" killed_processes=true fi if ! $killed_processes; then if pgrep ffmpeg > /dev/null; then echo -e "${YELLOW}No stream processes found. Trying 'killall ffmpeg'...${FONT_RESET}" if killall ffmpeg > /dev/null 2>&1; then echo -e "${GREEN}All FFmpeg processes stopped.${FONT_RESET}" else echo -e "${RED}killall ffmpeg failed or no processes found.${FONT_RESET}" fi else echo -e "${GREEN}No FFmpeg processes running.${FONT_RESET}" fi fi echo -e "${YELLOW}If using screen/tmux, manually terminate the session as well.${FONT_RESET}" } main_menu() { clear echo -e "${YELLOW}Ubuntu FFmpeg Unattended Loop Streamer (Clean NoLog Edition)${FONT_RESET}" echo -e "${RED}IMPORTANT: For long streams, run inside 'screen' or 'tmux'!${FONT_RESET}" echo -e "${GREEN}Example: screen -S stream_session bash $(basename "$0")${FONT_RESET}" echo -e "--------------------------------------------" echo -e "${BLUE}1. Check/Install/Update FFmpeg${FONT_RESET}" echo -e "${BLUE}2. Start Unattended Loop Streaming${FONT_RESET}" echo -e "${BLUE}3. Stop Streaming (kills FFmpeg processes)${FONT_RESET}" echo -e "${BLUE}4. Exit${FONT_RESET}" echo -e "--------------------------------------------" read -p "$(echo -e "${YELLOW}Enter your choice (1-4): ${FONT_RESET}")" choice case "$choice" in 1) ffmpeg_check_install ;; 2) if ! command_exists ffmpeg; then echo -e "${RED}FFmpeg not found. Install via option 1 first.${FONT_RESET}" else echo -e "${YELLOW}Starting stream. To stop, use Option 3 from this menu, or Ctrl+C if not in screen/tmux.${FONT_RESET}" stream_start fi ;; 3) stream_stop ;; 4) echo -e "${GREEN}Exiting.${FONT_RESET}"; exit 0 ;; *) echo -e "${RED}Invalid choice (1-4).${FONT_RESET}" ;; esac echo ""; read -p "Press Enter for main menu..." main_menu } main_menu