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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├── All in one Portable(outdated)/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 `
<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<title>輕音Joy-AI公益站</title>
<link rel="icon" href="https://www.cloudflare.com/favicon.ico" type="image/x-icon">
<script src="https://cdn.tailwindcss.com"></script>
<style>
.ai-message strong::before {
content: "";
display: inline-block;
width: 20px;
height: 20px;
background-image: url('https://www.gstatic.com/lamda/images/sparkle_resting_v2_1ff6f6a71f2d298b1a31.gif');
background-size: contain;
background-repeat: no-repeat;
margin-right: 8px;
vertical-align: middle;
}
.text-3xl{background:linear-gradient(90deg,red,orange,yellow,green,blue,purple,red);-webkit-background-clip:text;background-clip:text;color:transparent;background-size:500% auto;animation:rainbow 10s linear infinite}@keyframes rainbow{0%{background-position:0}100%{background-position:500%}}
/* 恢复深度思考中文字动画 */
@keyframes textGlow{0%{text-shadow:0 0 10px rgba(255,255,255,.8),0 0 20px rgba(100,200,255,.6);transform:scale(1)}50%{text-shadow:0 0 30px rgba(100,150,255,.9),0 0 50px rgba(200,100,255,.8),0 0 70px rgba(255,0,200,.6);transform:scale(1.05)}100%{text-shadow:0 0 10px rgba(255,255,255,.8),0 0 20px rgba(100,200,255,.6);transform:scale(1)}}
.thinking{animation:textGlow 1.5s ease-in-out infinite;color:#a78bfa!important;font:italic bold 1.2em sans-serif}
@keyframes icon2DRotate {
0% { opacity: 0; transform: scale(0) rotateY(0deg); }
10% { opacity: 1; transform: scale(3) rotateY(0deg); }
50% { transform: scale(3) rotateY(180deg); }
90% { transform: scale(3) rotateY(350deg); }
100% { opacity: 0; transform: scale(0) rotateY(360deg); }
}
.thinking-icon {
position: absolute; top: 30%; left: 50%;
width: 80px; height: 80px; margin: -40px 0 0 -40px;
pointer-events: none;
animation: icon2DRotate 6s ease-in-out forwards;
transform-origin: center center;
transform-style: preserve-3d;
filter: drop-shadow(0 0 25px #dba0ff) brightness(1.5) saturate(1.8);
z-index: 999;
}
body {
background: url('https://www.sensecore.cn/upload/20230330/crjfafitbja7qufwrt.jpg') no-repeat center center fixed;
background-size: cover;
}
/* 添加透明背景设置https://www.bleepstatic.com/content/hl-images/2023/11/02/cloudflare.jpg https://dlink.host/sharepoint/aHR0cHM6Ly80YzJ4ZHQtbXkuc2hhcmVwb2ludC5jb20vOmk6L2cvcGVyc29uYWwvYWRtaW5fNGMyeGR0X29ubWljcm9zb2Z0X2NvbS9FUms0ZTloVldPQk5reU0zLWxaSEwyQUJjRm1DNUltUUdwVGpCcXNoLVNBTzNBP2U9ZllDVkp0.png*/
.w-full.max-w-6xl {
background-color: rgba(31, 41, 55, 0.85)!important;
backdrop-filter: blur(4px); /* 可选：背景模糊效果 */
}
/* 聊天消息透明 */
#chat > div {
background-color: rgba(30, 64, 175, 0.8); /* 用户消息 */
}
.ai-message {background-color: rgba(55, 65, 81, 0.8); /* AI消息 */}
/* 输入框透明 */
background-color: rgba(55, 65, 81, 0.5)!important;
backdrop-filter: blur(2px);
#sendBtn, select { background-color: rgba(55, 65, 81, 0.5)!important; }
#sendBtn:hover { background-color: rgba(29, 78, 216, 0.6)!important;}
#chat-container { max-height: 60vh; overflow-y: auto; }
#chat > div { margin-bottom: 1rem; padding: 0.75rem; border-radius: 0.5rem; max-width: 90%; word-break: break-word; line-height: 1.6; }
.user-message { background-color: #1e40af; color: white; align-self: flex-end; margin-left: 10%; }
.ai-message { background-color: #374151; color: white; align-self: flex-start; margin-right: 10%; white-space: pre-wrap; }
.ai-message img { display: block; max-width: 100%; max-height: 400px; height: auto; margin-top: 0.75rem; border-radius: 0.375rem; background-color: #4b5563; }
.ai-message strong, .user-message strong { display: block; margin-bottom: 0.25rem; font-weight: bold; color: #9ca3af; }
.error-message { background-color: #b91c1c; color: white; }
.loader { border: 4px solid #f3f3f3; border-top: 4px solid #3498db; border-radius: 50%; width: 20px; height: 20px; animation: spin 1s linear infinite; display: inline-block; margin-left: 8px; }
@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
textarea { scrollbar-width: thin; scrollbar-color: #4b5563 #374151; }
</style>
</head>
<body class="bg-gray-900 text-gray-100 min-h-screen flex flex-col items-center p-4 font-sans">
<h1 class="text-3xl font-bold my-6 text-center">Ultra Gemini ☁ Cloudflare 輕音Joy-AI公益站</h1>
<a href="https://qyjoy.vip" target="_blank" class="text-center block font-bold cursor-pointer mb-6 animate-breathe" style="text-shadow:0 0 8px rgba(0,255,255,0.7);">抖音 | Bilibili | Youtube | 小红书 | 公众号: 輕音Joy</a>
<style>@keyframes breathe{0%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}50%{color:#22d3ee;text-shadow:0 0 12px rgba(34,211,238,0.9);}100%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}}.animate-breathe{animation:breathe 3s ease-in-out infinite;}</style>
<div class="w-full max-w-6xl bg-gray-800 shadow-lg rounded-lg p-6">
<div class="mb-4">
<label for="model" class="block mb-2 text-sm font-medium text-gray-300">选择模型：</label>
<select id="model" class="w-full p-2.5 rounded bg-gray-700 border border-gray-600/50 text-white focus:ring-blue-500 focus:border-blue-500" style="background:rgba(55,65,81,0)!important;backdrop-filter:blur(4px)">
<option value="gemini-2.5-flash-preview-04-17">Gemini 2.5 Pro Preview </option>
</select>
</div>
<div class="mb-4">
<label for="prompt" class="block mb-2 text-sm font-medium text-gray-300">输入你的内容或画面描述：</label>
<textarea id="prompt" rows="3" class="w-full p-2.5 rounded bg-gray-700 border border-gray-600/50 text-white focus:ring-blue-500 focus:border-blue-500 resize-y" placeholder="例如：輕音Joy是哪个博主" style="background:rgba(55,65,81,0)!important;backdrop-filter:blur(4px)"></textarea>
</div>
<button id="sendBtn" class="flex items-center justify-center gap-2 w-full p-3 rounded font-semibold text-white/90 transition duration-150 ease-in-out disabled:opacity-50 disabled:cursor-not-allowed" style="background:rgba(37,99,235,0.75)!important;border:1px solid rgba(255,255,255,0.8)!important;backdrop-filter:blur(8px);box-shadow:0 2px 8px rgba(0,0,0,0.1)" onmouseover="this.style.background='rgba(29,78,216,0.1)'" onmouseout="this.style.background='rgba(37,99,235,0.85)'"><img src="https://www.cloudflare.com/favicon.ico" alt="Cloudflare" class="w-4 h-4"><span class="button-text">发送 Post</span><span id="sendIcon">➤</span><span id="loadingIcon" class="loader hidden"></span></button>
<div id="chat-container" class="mt-6 border-t border-gray-700 pt-4">
<div id="chat" class="flex flex-col space-y-4">
<div class="ai-message"><strong>AI:</strong> 你好！请选择一个模型并输入你的请求。</div>
</div>
<p class="text-yellow-300 font-bold mb-6 text-center text-sm">Powered By Cloudflare Worker Serverless(BETA) | © 2025 輕音Joy </p>
</div>
</div>
<footer class="text-center text-gray-500 text-sm mt-8">
</footer>
<script>
// Wait for the DOM to be fully loaded before executing script logic
document.addEventListener('DOMContentLoaded', () => {
"use strict";
console.log("DOM fully loaded and parsed.");
// --- Element References ---
const chat = document.getElementById('chat');
const chatContainer = document.getElementById('chat-container');
const sendBtn = document.getElementById('sendBtn');
const promptTextarea = document.getElementById('prompt');
const modelSelect = document.getElementById('model');
const sendIcon = document.getElementById('sendIcon');
const loadingIcon = document.getElementById('loadingIcon');
const buttonText = sendBtn ? sendBtn.querySelector('.button-text') : null;
if (!chat || !chatContainer || !sendBtn || !promptTextarea || !modelSelect || !sendIcon || !loadingIcon || !buttonText) {
console.error("CRITICAL ERROR: One or more essential HTML elements not found.");
alert("页面加载错误：无法找到必要的聊天界面元素。请检查HTML结构或稍后重试。");
return; // Stop script execution
}
console.log("All essential elements found.");
function setLoadingState(isLoading) {
console.log(\`setLoadingState called with isLoading: \${isLoading}\`);
// Check elements again just in case, though initial check should suffice
if (!sendBtn || !promptTextarea || !buttonText || !sendIcon || !loadingIcon) {
console.error("Error inside setLoadingState: Required elements missing.");
return;
}
try {
sendBtn.disabled = isLoading;
promptTextarea.disabled = isLoading;
if (isLoading) {
buttonText.textContent = "处理中...";
sendIcon.classList.add('hidden');
loadingIcon.classList.remove('hidden');
} else {
buttonText.textContent = "发送(Post)";
sendIcon.classList.remove('hidden');
loadingIcon.classList.add('hidden');
}
console.log("setLoadingState finished.");
} catch (e) {
console.error("Error executing setLoadingState:", e);
}
}
function addMessage(text, sender = 'ai', isLoading = false) {
function spawnThinkingIcon() {
const icon = document.createElement('img');
icon.src = 'https://i.ibb.co/ch21FSqt/cf.png'; // 你之前的图标地址
icon.className = 'thinking-icon';
document.body.appendChild(icon);
icon.addEventListener('animationend', function() {
icon.remove();
});
}
console.log('addMessage called. Sender: ' + sender + ', isLoading: ' + isLoading);
if (!chat || !modelSelect) {
console.error("Error inside addMessage: Chat or modelSelect element not found.");
return null;
}
try {
let messageDiv = document.createElement('div');
messageDiv.classList.add(sender === 'user' ? 'user-message' : 'ai-message');
const senderStrong = document.createElement('strong');
senderStrong.textContent = sender === 'user' ? '你:' : 'Gemini-AI:';
messageDiv.appendChild(senderStrong);
const contentSpan = document.createElement('span');
contentSpan.className = 'response-content';
if (isLoading) {
const thinkingSpan = document.createElement('span');
thinkingSpan.className = 'thinking';
thinkingSpan.textContent = ' 深度思考中...';
messageDiv.appendChild(thinkingSpan);
messageDiv.appendChild(contentSpan);
spawnThinkingIcon();
} else {
if (sender === 'user') {
contentSpan.textContent = text;
} else {
if (modelSelect.value.startsWith('imagen') && (text.includes('<img') || text.includes('data:image'))) {
contentSpan.innerHTML = text;
} else {
contentSpan.textContent = text;
}
}
messageDiv.appendChild(contentSpan);
}
chat.appendChild(messageDiv);
console.log("Message added to chat.");
scrollToBottom();
return messageDiv;
} catch (e) {
console.error("Error executing addMessage:", e);
return null;
}
}
function scrollToBottom() {
try {
if (chatContainer) {
chatContainer.scrollTop = chatContainer.scrollHeight;
} else {
console.error("Error scrolling: chatContainer not found.");
}
} catch (e) {
console.error("Error executing scrollToBottom:", e);
}
} // END scrollToBottom definition
function escapeHTML(str) {
if (typeof str !== 'string') return '';
const p = document.createElement('p');
p.appendChild(document.createTextNode(str));
return p.innerHTML;
} // END escapeHTML definition
function autoResizeTextarea() {
try {
if (promptTextarea) {
promptTextarea.style.height = 'auto';
promptTextarea.style.height = Math.min(promptTextarea.scrollHeight, 200) + 'px';
} else {
console.error("Error resizing textarea: promptTextarea not found.");
}
} catch (e) {
console.error("Error executing autoResizeTextarea:", e);
}
} // END autoResizeTextarea definition
// --- Main Send Logic Definition ---
async function handleSend() {
console.log("handleSend function started.");
let aiMessageDiv = null; // Define here for broader scope
let responseContentSpan = null;
try {
const prompt = promptTextarea.value.trim();
const model = modelSelect.value;
console.log(\`Prompt: "\${prompt}", Model: "\${model}"\`);
if (!prompt) {
console.log("Prompt is empty. Alerting user.");
alert("请输入你的内容或画面描述！");
promptTextarea.focus();
return; // Stop execution
}
console.log("Setting loading state to true.");
setLoadingState(true); // CALL to setLoadingState
console.log("Adding user message.");
addMessage(prompt, 'user'); // Call to addMessage
promptTextarea.value = ''; // Clear prompt
autoResizeTextarea(); // Call to autoResizeTextarea
console.log("Adding AI placeholder message.");
aiMessageDiv = addMessage('', 'ai', true); // Call to addMessage
if (!aiMessageDiv) {
throw new Error("Failed to create AI placeholder message element.");
}
responseContentSpan = aiMessageDiv.querySelector('.response-content');
const thinkingSpan = aiMessageDiv.querySelector('.thinking');
if (!responseContentSpan) {
throw new Error("Failed to find response content span in AI placeholder.");
}
console.log("AI placeholder added.");
// Scroll after adding placeholder
// scrollToBottom(); // Already called inside addMessage
console.log("Initiating fetch request to worker:", location.href);
const res = await fetch(location.href, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ prompt, model })
});
console.log(\`Workspace response received. Status: \${res.status}, ok: \${res.ok}\`);
if (thinkingSpan) thinkingSpan.remove(); // Remove "Thinking..."
if (!res.ok) {
const errorText = await res.text();
console.error(\`Worker/API Error Response (Status \${res.status}):\`, errorText);
// Update UI
if (responseContentSpan && aiMessageDiv) {
responseContentSpan.textContent = \`请求出错 (\${res.status}): \${escapeHTML(errorText.substring(0, 500))}\${errorText.length > 500 ? '...' : ''}\`;
aiMessageDiv.classList.add('error-message');
scrollToBottom();
} else {
console.error("Cannot display fetch error in chat: message elements not found.");
}
// Throw error to be caught by outer catch block -> triggers finally
throw new Error(\`Server responded with status \${res.status}\`);
}
const selectedModelType = model.startsWith("imagen") ? "imagen" : "gemini";
console.log(\`Handling response for model type: \${selectedModelType}\`);
if (selectedModelType === "gemini") {
console.log("Processing Gemini SSE stream...");
const reader = res.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let currentText = '';
let loopCount = 0;
while (loopCount < 10000) { // Safety break
loopCount++;
const { done, value } = await reader.read();
if (done) {
console.log("SSE stream finished (done is true).");
break;
}
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\\n'); // Split by newline
buffer = lines.pop(); // Keep potential partial line
for (const line of lines) {
if (line.startsWith('data: ')) {
const jsonStr = line.substring(6).trim();
if (jsonStr === '[DONE]' || !jsonStr) continue;
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
responseContentSpan.textContent = currentText; // Update UI
scrollToBottom();
} else {
console.log("Received non-text chunk or unexpected structure:", chunk);
if (chunk.promptFeedback?.blockReason) {
currentText += \`\\n[内容被阻止: \${chunk.promptFeedback.blockReason}]\`;
responseContentSpan.textContent = currentText;
aiMessageDiv.classList.add('error-message');
scrollToBottom();
}
}
} catch (e) {
console.error("Error parsing streaming JSON chunk:", e, "Chunk:", jsonStr);
currentText += '\\n[解析数据块时出错]';
responseContentSpan.textContent = currentText;
scrollToBottom();
}
} else if (line.trim()) {
console.log("Received non-data SSE line:", line);
}
} // end for line loop
} // end while loop
if (loopCount >= 10000) console.warn("SSE loop safety break triggered.");
if (buffer.trim()) { // Process remaining buffer
console.warn("Processing remaining buffer after stream end:", buffer);
if (buffer.startsWith('data: ')) {
const jsonStr = buffer.substring(6).trim();
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
responseContentSpan.textContent = currentText;
scrollToBottom();
}
} catch (e) {
console.error("Error parsing final buffer:", e);
currentText += '\\n[处理流末尾数据时出错]';
responseContentSpan.textContent = currentText;
scrollToBottom();
}
} else {
console.log("Final buffer does not start with 'data:', content:", buffer);
}
}
console.log("Gemini SSE processing finished.");
} else if (selectedModelType === "imagen") {
console.log("Processing Imagen JSON response...");
try {
const data = await res.json();
console.log("Imagen response JSON parsed:", data); // Log the parsed data structure
if (data.images && data.images.length > 0) {
console.log(\`Found \${data.images.length} images.\`);
responseContentSpan.innerHTML = data.images.map((imgSrc, index) =>
\`<img src="\${imgSrc}" class="my-2 rounded shadow-md" alt="Generated image \${index + 1}" loading="lazy"/>\`
).join('');
} else {
const message = data.message || (data.promptFeedback?.blockReason ? \`请求被阻止: \${data.promptFeedback.blockReason}\` : "未生成任何图像或收到意外响应。");
console.log("No images found or message received:", message);
responseContentSpan.textContent = escapeHTML(message);
if (message.includes("Blocked") || message.includes("Error") || message.includes("出错") || message.includes("Unexpected") || message.includes("阻止")) {
aiMessageDiv.classList.add('error-message');
}
}
scrollToBottom();
} catch (e) {
console.error("Error parsing Imagen JSON response:", e);
// Update UI
if(responseContentSpan && aiMessageDiv){
responseContentSpan.textContent = '解析图像响应时出错：' + e.message;
aiMessageDiv.classList.add('error-message');
scrollToBottom();
}
// Throw error to be caught by outer catch block -> triggers finally
throw new Error('Failed to parse Imagen JSON: ' + e.message);
}
console.log("Imagen JSON processing finished.");
} // End Imagen processing
console.log("handleSend processing completed successfully.");
} catch (error) { // Catch errors from fetch, response processing, or explicitly thrown errors
console.error("!!!! CLIENT-SIDE CATCH BLOCK ERROR in handleSend !!!!:", error);
// Alert removed as it can be annoying, rely on console and chat message
// alert('处理请求时发生错误: ' + error.message);
// Ensure UI reflects error state if possible
if (responseContentSpan) {
// Check if the content is already set by specific error handling above
if (!responseContentSpan.textContent.includes("出错")) {
responseContentSpan.textContent = '客户端错误: ' + error.message;
}
if (aiMessageDiv && !aiMessageDiv.classList.contains('error-message')) {
aiMessageDiv.classList.add('error-message');
}
scrollToBottom(); // Scroll to show error
} else {
console.error("Cannot display error in chat bubble: responseContentSpan not found.");
}
} finally { // This block ALWAYS runs
console.log("!!!! CLIENT-SIDE FINALLY BLOCK in handleSend !!!!");
setLoadingState(false); // Ensure UI is re-enabled
promptTextarea.focus(); // Put cursor back
console.log("UI re-enabled.");
}
} // END handleSend definition
// --- Attach Event Listeners ---
sendBtn.addEventListener('click', handleSend);
console.log("Send button click listener attached.");
promptTextarea.addEventListener('keypress', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
console.log("Enter key pressed, triggering handleSend.");
handleSend(); // Call the main handler
}
});
console.log("Textarea keypress listener attached.");
promptTextarea.addEventListener('input', autoResizeTextarea);
console.log("Textarea input listener attached.");
// --- Initial Setup Calls ---
autoResizeTextarea(); // Resize initially
console.log("Initial textarea resize done.");
// scrollToBottom(); // Optional: Scroll down initially if needed
}); // END DOMContentLoaded listener
</script>
</body>
</html>
`; // 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. <https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
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The licenses for most software and other practical works are designed
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share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
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your programs, too.
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To protect your rights, we need to prevent others from denying you
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
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(at your option) any later version.
This program is distributed in the hope that it will be useful,
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Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
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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
<https://www.gnu.org/licenses/>.
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
<https://www.gnu.org/licenses/why-not-lgpl.html>.
================================================
FILE: README.md
================================================
<p align="center">
<a href="https://www.cloudflare.com/"><img src="https://cf-assets.www.cloudflare.com/zkvhlag99gkb/msyMXSSf3hlUnawe68PDG/d0edfa4f2703a94018c7ab65d9808616/45DEDC7B-B31F-461C-B786-12FBAF1A5391.png" alt="Cloudflare Workers" width="700"/></a>
</p>
<h1 align="center">Ultra Cloudflare☁️Serverless AI worker</h1>
<p align="center">
<strong>EN:</strong> 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
<br><strong>ZH:</strong> 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
<br><strong>RU:</strong>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.
<b4>
</p>
<p align="center">
<a href="https://discord.gg/sQVz6vtf"><img src="https://img.shields.io/discord/1018870125102895134?logo=discord" alt="chat"></a>
<a href="https://github.com/qyjoy/AI-worker/stargazers"><img src="https://img.shields.io/github/stars/qyjoy/AI-worker?style=social" alt="GitHub Stars"></a>
<a href="https://github.com/qyjoy/AI-worker/issues"><img src="https://img.shields.io/github/issues/qyjoy/AI-worker?style=flat-square&color=orange" alt="GitHub Issues"></a>
<a href="https://github.com/qyjoy/AI-worker/blob/main/LICENSE"><img src="https://img.shields.io/github/license/qyjoy/AI-worker?style=flat-square&color=blue" alt="License"></a>
<a href="https://workers.cloudflare.com/" target="_blank" rel="noopener noreferrer"><img src="https://img.shields.io/badge/Cloudflare%20Workers-Ready-orange?style=flat-square&logo=cloudflare" alt="Cloudflare Workers Ready"></a>
<a href="https://gemini.google.com/" target="_blank" rel="noopener noreferrer" style="text-decoration:none;display:inline-flex;align-items:center;"><img src="https://img.shields.io/badge/Google-4285F4?style=flat-square&logo=googlegemini&logoColor=fff" alt="Google Gemini" style="border-radius:0 0 0 0;"><img src="https://img.shields.io/badge/Gemini-886FBF?style=flat-square&logo=&logoColor=fff" alt="Gemini" style="border-radius:0 0 0 0;"></a>
</p>
<p align="center">
<em>Free, Private Gemini Access via Cloudflare. No VPN needed for restricted Countries. Full Control, with GPL 3.0 protocol</em>
<br>
<em>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</em>
</p>
## 🌐 Overview | 概述
<a><img src="https://cf-assets.www.cloudflare.com/zkvhlag99gkb/4CNamrq69wPhKeFeFQBNe4/b65099939b3140c3cf947898ffea271f/Workers-diagram-MVP--copy-3_3x-8--1-.png" alt="Cloudflare Workers" width="700"/></a><br>
**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.
<br>Before: Your area > Not allow to access > AI ×
<br>Now : Your area > Cloudflare Worker > AI √
<br>**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
* **🎯 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。
## 👍 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.
**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 <img src="https://github.com/user-attachments/assets/0c014e9d-9c97-430e-b339-f63c91665d7f" alt="cloudflare icon" style="height: 20px; vertical-align: middle;">
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.
* 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 <https://www.gnu.org/licenses/>.
**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 <https://www.gnu.org/licenses/>。
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
[](https://star-history.com/#qyjoy/AI-Worker&Date)
<p align="center">
Made with ❤️ by 輕音Joy with AI Optimization
<br>
<em>If you find this useful, please consider giving a ⭐!</em>
</p>
================================================
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 = () => `
<style>
:root {
--table-bg-rgb: 0, 0, 0;
--error-message-rgb: 185, 28, 28;
--user-text-rgb: 255, 255, 255;
--ai-text-rgb: 255, 255, 255;
--link-text-rgb: 199, 210, 254;
--theme-primary-rgb: 29, 78, 216; /* default */
--table-hover-rgb: 74, 85, 104;
--input-border-rgb: 55, 65, 81;
--table-border-rgb: 55, 65, 81;
--table-header-rgb: 30, 41, 59;
}
.w-full.max-w-6xl {background-color: rgba(var(--theme-bg-rgb), 0.85)!important;}
#chat > div {background-color: rgba(var(--user-message-rgb), 0.8);}
.ai-message { background-color: rgba(var(--ai-message-rgb), 0.8);}
#prompt, #sendBtn, select { background-color: rgba(var(--input-bg-rgb), 0.5)!important;}
#sendBtn:hover { background-color: rgba(var(--theme-primary-rgb), 0.6)!important;}
.user-message { background-color: rgba(var(--user-message-rgb), 0.8);}
.ai-message > strong::before {content: "";display: inline-block;width: 20px;height: 20px;background-image: url('https://www.gstatic.com/lamda/images/sparkle_resting_v2_1ff6f6a71f2d298b1a31.gif');background-size: contain;background-repeat: no-repeat;margin-right: 8px;vertical-align: middle;}
.text-3xl{background:linear-gradient(90deg,red,orange,yellow,green,blue,purple,red);-webkit-background-clip:text;background-clip:text;color:transparent;background-size:500% auto;animation:rainbow 10s linear infinite}@keyframes rainbow{0%{background-position:0}100%{background-position:500%}}
@keyframes textGlow{0%{text-shadow:0 0 10px rgba(var(--theme-primary-rgb),.8),0 0 20px rgba(var(--theme-primary-rgb),.6);transform:scale(1)}50%{text-shadow:0 0 30px rgba(var(--theme-primary-rgb),.9),0 0 50px rgba(var(--theme-primary-rgb),.8),0 0 70px rgba(var(--theme-primary-rgb),.6);transform:scale(1.05)}100%{text-shadow:0 0 10px rgba(var(--theme-primary-rgb),.8),0 0 20px rgba(var(--theme-primary-rgb),.6);transform:scale(1)}}#prompt{background-color:rgba(var(--input-bg-rgb),0.5)!important}
.thinking{animation:textGlow 1.5s ease-in-out infinite;color:#a78bfa!important;font:italic bold 1.2em sans-serif}
@keyframes icon2DRotate {0% { opacity: 0; transform: scale(0) rotateY(0deg); } 10% { opacity: 1; transform: scale(3) rotateY(0deg); } 50% { transform: scale(3) rotateY(180deg); } 90% { transform: scale(3) rotateY(350deg); } 100% { opacity: 0; transform: scale(0) rotateY(360deg); }}
.thinking-icon {position: absolute; top: 30%; left: 50%;width: 80px; height: 80px; margin: -40px 0 0 -40px;pointer-events: none;animation: icon2DRotate 6s ease-in-out forwards;transform-origin: center center;transform-style: preserve-3d;filter: drop-shadow(0 0 25px #dba0ff) brightness(1.5) saturate(1.8);z-index: 999;}
body {background: url('https://www.sensecore.cn/upload/20230330/crjfafitbja7qufwrt.jpg') no-repeat center center fixed;background-size: cover;}
.w-full.max-w-6xl {background-color: rgba(31, 41, 55, 0.85)!important;backdrop-filter: blur(4px);}
#chat > div {background-color: rgba(30, 64, 175, 0.8);} /* User messages default, AI messages override this */
.ai-message {background-color: rgba(55, 65, 81, 0.8);}
#chat > div { margin-bottom: 1rem; padding: 0.75rem; border-radius: 0.5rem; max-width: 90%; word-break: break-word; line-height: 1.6; }
.user-message {
background-color: rgba(var(--user-message-rgb), 0.8)!important;
color: rgba(var(--user-text-rgb), 0.9)!important;
align-self: flex-end;
margin-left: 10%;
border: 1px solid rgba(var(--user-message-rgb), 0.9);
}
.ai-message {
background-color: rgba(var(--ai-message-rgb), 0.8)!important;
color: rgba(var(--ai-text-rgb), 0.9)!important;
align-self: flex-start;
margin-right: 10%;
white-space: pre-wrap;
border: 1px solid rgba(var(--ai-message-rgb), 0.9);}
.ai-message .response-content p { margin-bottom: 0.5em; } /* Add some space between paragraphs from Markdown */
.ai-message .response-content ul, .ai-message .response-content ol { margin-left: 1.5em; margin-bottom: 0.5em; }
.ai-message .response-content li { margin-bottom: 0.25em; }
.ai-message img { display: block; max-width: 100%; max-height: 300px; height: auto; margin-top: 0.75rem; border-radius: 0.375rem; background-color: #4b5563; } /* Adjusted max-height for mobile */
.ai-message strong, .user-message strong { display: block; margin-bottom: 0.25rem; font-weight: bold; color: #9ca3af; }
.ai-message .response-content strong { font-weight: bold; color: inherit; }
.error-message { background-color: #b91c1c; color: white; }
.loader { border: 4px solid #f3f3f3; border-top: 4px solid #3498db; border-radius: 50%; width: 20px; height: 20px; animation: spin 1s linear infinite; display: inline-block; margin-left: 8px; }
@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
textarea { scrollbar-width: thin; scrollbar-color: #4b5563 #374151; }
@keyframes breathe{0%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}50%{color:#22d3ee;text-shadow:0 0 12px rgba(34,211,238,0.9);}100%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}}.animate-breathe{animation:breathe 3s ease-in-out infinite;}
.ai-message table {
border-collapse: collapse;
width: 98%;
margin: 1em auto;
background: rgba(var(--table-bg-rgb), 0.9)!important;
border: 1px solid rgba(var(--ai-message-rgb), 0.8);
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);
}
.ai-message table { border: 1px solid rgba(var(--table-border-rgb), 0.8)!important;}
.ai-message th { background-color: rgba(var(--table-header-rgb), 0.9)!important;}
.ai-message tr:hover td { background-color: rgba(var(--table-hover-rgb), 0.4)!important;}
.ai-message th, .ai-message td {
border: 1px solid rgba(var(--ai-message-rgb), 0.8);
padding: 0.5rem 0.75rem;
text-align: left;
background: transparent!important;
}
.ai-message th {
background-color: rgba(var(--table-header-rgb), 0.9)!important;
color: #E2E8F0;
font-weight: bold;
}
/* 移除交替行颜色 */
.ai-message tr {
background: transparent!important;
}
/* 表格悬停效果 */
.ai-message tr:hover td {
background-color: rgba(74, 85, 104, 0.3)!important;
}
/* 确保表格内的strong不显示图标 */
.ai-message table strong::before {
display: none!important;
}
#chat > div {
transition: all 0.3s ease;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
}
#chat > div:hover {
transform: scale(1.02);
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.3);
z-index: 1;
}
/* 彩虹呼吸主题专用动画 */
@keyframes rainbowBreath {
0% { filter: hue-rotate(0deg); opacity: 0.8; }
50% { filter: hue-rotate(180deg); opacity: 0.95; }
100% { filter: hue-rotate(360deg); opacity: 0.8; }
}
.rainbow-theme {
animation: rainbowBreath 8s ease-in-out infinite;
background: linear-gradient(45deg,
rgba(25,25,25,0.75) 0%,
rgba(255,0,0,0.8) 20%,
rgba(255,165,0,0.75) 40%,
rgba(255,255,0,0.8) 60%,
rgba(0,255,0,0.75) 80%,
rgba(0,0,255,0.8) 100%);
background-size: 200% 200%;
animation: rainbowBreath 20s ease-in-out infinite; /* 底图 */
}
/* 聊天气泡单独控制 */
#chat > div.rainbow-theme {
animation: rainbowBreath 20s ease-in-out infinite; /* 气泡 */
opacity: 0.9;
filter: none; /* 移除hue-rotate避免颜色偏移 */
background: var(--ai-message-rgb); /* 使用主题色 */
border-color: rgba(255,255,255,0.5)!important;
}
</style>
`;
// Client-side JavaScript
const getClientScript = () => `
<script>
document.addEventListener('DOMContentLoaded', () => {
const themeConfig = {
pink: { // 少女粉
bg: '45,30,40', // 深粉紫背景（增强对比）
user: '255,105,180', // 亮粉用户消息（类似樱花粉）
ai: '220,130,170', // 柔和粉AI消息
input: '200,100,150', // 输入框背景（紫粉）
table: '180,80,130', // 表格背景（玫瑰粉）
tableHeader: '190,90,140', // 表头稍亮
tableHover: '230,150,180', // 悬停效果（浅粉）
tableBorder: '210,120,160', // 边框（粉紫）
error: '255,80,120', // 错误消息（亮粉红）
primary: '255,150,200', // 主色调（糖果粉）
userText: '255,240,245', // 用户消息文字（粉白）
aiText: '255,230,240', // AI消息文字（淡粉白）
linkText: '255,180,220' // 链接文字（浅粉）
},
default: {
bg: '20,42,58',
user: '30,144,200', //
ai: '50,110,140', //
input: '40,100,130', //
table: '35,90,120', //
error: '185,28,28',
primary: '0,150,200',
userText: '240,250,255',
aiText: '230,240,250',
linkText: '160,220,255'
},
purple: {
bg: '49,46,129',
user: '76,29,149',
ai: '76,29,149',
input: '76,29,149',
table: '76,29,149',
error: '134,25,143',
primary: '124,58,237',
userText: '245,243,255',
aiText: '245,243,255',
linkText: '216,180,254' },
green: {
bg: '6,78,59',
user: '5,150,105',
ai: '5,150,105',
input: '5,150,105',
table: '5,150,105',
error: '28,185,100',
primary: '16,185,129',
userText: '240,253,244',
aiText: '240,253,244',
linkText: '167,243,208' },
cyberpunk: {
bg: '17,24,39',
user: '63,114,175',
ai: '88,28,135',
input: '28,28,40',
table: '28,100,138',
tableHeader: '15,82,87',
tableHover: '0,255,255',
tableBorder: '0,255,187',
error: '255,0,122',
primary: '0,255,187',
userText: '224,242,254',
aiText: '245,200,255',
linkText: '0,255,255' },
gradient: {
bg: '25,25,112',
user: '70,130,180',
ai: '147,112,219',
input: '106,90,205',
table: '72,61,139',
tableHeader: '123,104,238',
tableHover: '138,43,226',
tableBorder: '147,112,219',
error: '255,99,71',
primary: '255,140,0',
userText: '240,248,255',
aiText: '230,230,250',
linkText: '255,215,0' },
prism: {
bg: '10,10,30',
user: '255,105,180',
ai: '147,112,219',
input: '75,0,130',
table: '123,104,238',
tableHeader: '138,43,226',
tableHover: '148,0,211',
tableBorder: '255,20,147',
error: '255,0,0',
primary: '0,255,255',
userText: '255,255,255',
aiText: '255,215,0',
linkText: '255,20,147' },
rainbow: {
bg: '25,25,25',
user: '255,0,0',
ai: '0,255,0',
input: '0,0,255',
table: '255,255,0',
tableHeader: '255,0,255',
tableHover: '0,255,255',
tableBorder: '255,165,0',
error: '255,0,122',
primary: '148,0,211',
userText: '250,250,250',
aiText: '250,250,250',
linkText: '255,255,255'
}
};
const themeSelect = document.getElementById('theme');
function initTheme() {
themeSelect.addEventListener('change', (e) => {
console.log("Applying theme:", e.target.value);
applyTheme(e.target.value);
const currentScroll = chatContainer.scrollTop;
setTimeout(() => chatContainer.scrollTop = currentScroll, 0);
});
applyTheme(themeSelect.value); // 初始化主题
} initTheme();
"use strict";
// 新增主题切换函数
function applyTheme(themeName) {
const theme = themeConfig[themeName] || themeConfig.default;
document.documentElement.style.setProperty('--theme-bg-rgb', theme.bg);
document.documentElement.style.setProperty('--table-hover-rgb', theme.tableHover);
document.documentElement.style.setProperty('--table-border-rgb', theme.tableBorder);
document.documentElement.style.setProperty('--input-border-rgb', theme.input);
document.documentElement.style.setProperty('--table-header-rgb', theme.tableHeader);
document.documentElement.style.setProperty('--user-message-rgb', theme.user);
document.documentElement.style.setProperty('--ai-message-rgb', theme.ai);
document.documentElement.style.setProperty('--input-bg-rgb', theme.input);
document.documentElement.style.setProperty('--table-bg-rgb', theme.table);
document.documentElement.style.setProperty('--table-header-rgb', theme.table);
document.documentElement.style.setProperty('--error-message-rgb', theme.error);
document.documentElement.style.setProperty('--theme-primary-rgb', theme.primary);
document.documentElement.style.setProperty('--user-text-rgb', theme.userText);
document.documentElement.style.setProperty('--ai-text-rgb', theme.aiText);
document.documentElement.style.setProperty('--link-text-rgb', theme.linkText);
// 处理特殊主题的样式覆盖
const isCyberpunk = themeName === 'cyberpunk';
document.body.classList.toggle('rainbow-theme', themeName === 'rainbow');
document.querySelectorAll('#chat > div').forEach(el => {
el.classList.toggle('rainbow-theme', themeName === 'rainbow');
});
document.querySelectorAll('select, #sendBtn').forEach(el => {
el.style.borderColor = isCyberpunk ? 'rgba(0,255,187,0.8)' : 'rgba(var(--input-border-rgb),0.5)';
el.style.backgroundColor = isCyberpunk ? 'rgba(28,28,40,0.9)' : 'rgba(var(--input-bg-rgb),0.5)';
});
}
"use strict";
console.log("DOM fully loaded and parsed.");
const chat = document.getElementById('chat');
const chatContainer = document.getElementById('chat-container');
const sendBtn = document.getElementById('sendBtn');
const promptTextarea = document.getElementById('prompt');
const modelSelect = document.getElementById('model');
const sendIcon = document.getElementById('sendIcon');
const loadingIcon = document.getElementById('loadingIcon');
const buttonText = sendBtn ? sendBtn.querySelector('.button-text') : null;
if (!chat || !chatContainer || !sendBtn || !promptTextarea || !modelSelect || !sendIcon || !loadingIcon || !buttonText) {
console.error("CRITICAL ERROR: One or more essential HTML elements not found.");
alert("页面加载错误：无法找到必要的聊天界面元素。请检查HTML结构或稍后重试。");
return;
}
console.log("All essential elements found.");
function setLoadingState(isLoading) {
console.log(\`setLoadingState called with isLoading: \${isLoading}\`);
if (!sendBtn || !promptTextarea || !buttonText || !sendIcon || !loadingIcon) {
console.error("Error inside setLoadingState: Required elements missing.");
return;
}
try {
sendBtn.disabled = isLoading;
promptTextarea.disabled = isLoading;
buttonText.textContent = isLoading ? "处理中..." : "发送(Post)";
sendIcon.classList.toggle('hidden', isLoading);
loadingIcon.classList.toggle('hidden', !isLoading);
console.log("setLoadingState finished.");
} catch (e) { console.error("Error executing setLoadingState:", e); }
}
function spawnThinkingIcon() {
const icon = document.createElement('img');
icon.src = 'https://i.ibb.co/ch21FSqt/cf.png';
icon.className = 'thinking-icon';
document.body.appendChild(icon);
icon.addEventListener('animationend', function() { icon.remove(); });
}
function addMessage(text, sender = 'ai', isLoading = false) {
console.log('addMessage called. Sender: ' + sender + ', isLoading: ' + isLoading);
if (!chat || !modelSelect) { console.error("Error inside addMessage: Chat or modelSelect element not found."); return null; }
try {
let messageDiv = document.createElement('div');
messageDiv.classList.add(sender === 'user' ? 'user-message' : 'ai-message');
const senderStrong = document.createElement('strong');
senderStrong.textContent = sender === 'user' ? '你:' : 'Gemini-AI:';
messageDiv.appendChild(senderStrong);
const contentSpan = document.createElement('span');
contentSpan.className = 'response-content';
if (isLoading) {
const thinkingSpan = document.createElement('span');
thinkingSpan.className = 'thinking';
thinkingSpan.textContent = ' 深度思考中(Deep Reasoning)...';
messageDiv.appendChild(thinkingSpan);
messageDiv.appendChild(contentSpan); // Add empty contentSpan for placeholder
spawnThinkingIcon();
} else {
if (sender === 'user') {
contentSpan.textContent = text; // User messages are plain text
} else {
// For AI messages, parse Markdown if marked.js is available
if (modelSelect.value.startsWith('imagen') && (text.includes('<img') || text.includes('data:image'))) {
contentSpan.innerHTML = text; // Imagen response might already be HTML (img tags)
} else if (typeof marked !== 'undefined') {
contentSpan.innerHTML = marked.parse(text); // Parse Markdown to HTML
} else {
contentSpan.textContent = text; // Fallback if marked.js is not loaded
}
}
messageDiv.appendChild(contentSpan);
}
chat.appendChild(messageDiv);
console.log("Message added to chat.");
scrollToBottom();
return messageDiv;
} catch (e) { console.error("Error executing addMessage:", e); return null; }
}
function scrollToBottom() {
try {
if (chatContainer) { chatContainer.scrollTop = chatContainer.scrollHeight; }
else { console.error("Error scrolling: chatContainer not found."); }
} catch (e) { console.error("Error executing scrollToBottom:", e); }
}
function escapeHTML(str) { // Keep this for cases where you might need to escape HTML, though not used for AI response directly now
if (typeof str !== 'string') return '';
const p = document.createElement('p');
p.appendChild(document.createTextNode(str));
return p.innerHTML;
}
function autoResizeTextarea() {
try {
if (promptTextarea) {
promptTextarea.style.height = 'auto';
promptTextarea.style.height = Math.min(promptTextarea.scrollHeight, 200) + 'px'; // Max height 200px
} else { console.error("Error resizing textarea: promptTextarea not found.");}
} catch (e) { console.error("Error executing autoResizeTextarea:", e); }
}
async function handleSend() {
console.log("handleSend function started.");
console.log("Button click detected");
let aiMessageDiv = null;
let responseContentSpan = null;
try {
const prompt = promptTextarea.value.trim();
const model = modelSelect.value;
if (!prompt) { alert("请输入你的内容或画面描述！"); promptTextarea.focus(); return; }
setLoadingState(true);
addMessage(prompt, 'user');
promptTextarea.value = '';
autoResizeTextarea();
aiMessageDiv = addMessage('', 'ai', true);
if (!aiMessageDiv) { throw new Error("Failed to create AI placeholder message element."); }
responseContentSpan = aiMessageDiv.querySelector('.response-content');
const thinkingSpan = aiMessageDiv.querySelector('.thinking');
if (!responseContentSpan) { throw new Error("Failed to find response content span in AI placeholder."); }
const res = await fetch(location.href, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ prompt, model })
});
console.log(\`Worker response received. Status: \${res.status}, ok: \${res.ok}\`);
if (thinkingSpan) thinkingSpan.remove();
if (!res.ok) {
const errorText = await res.text();
console.error(\`Worker/API Error Response (Status \${res.status}):\`, errorText);
if (responseContentSpan && aiMessageDiv) {
// For error messages, we might want to display them as plain text or escaped HTML
// to avoid them being misinterpreted as Markdown.
responseContentSpan.textContent = \`请求出错 (\${res.status}): \${escapeHTML(errorText.substring(0, 500))}\${errorText.length > 500 ? '...' : ''}\`;
aiMessageDiv.classList.add('error-message');
scrollToBottom();
} else { console.error("Cannot display fetch error in chat: message elements not found."); }
throw new Error(\`Server responded with status \${res.status}\`);
}
const selectedModelType = model.startsWith("imagen") ? "imagen" : "gemini";
console.log(\`Handling response for model type: \${selectedModelType}\`);
if (selectedModelType === "gemini") {
console.log("Processing Gemini SSE stream...");
const reader = res.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let currentText = '';
// eslint-disable-next-line no-constant-condition
while (true) {
const { done, value } = await reader.read();
if (done) { console.log("SSE stream finished."); break; }
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\\n');
buffer = lines.pop(); // Keep potential partial line for next read
for (const line of lines) {
if (line.startsWith('data: ')) {
const jsonStr = line.substring(6).trim();
if (jsonStr === '[DONE]' || !jsonStr) continue;
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
// Parse and render Markdown progressively
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText; // Fallback
}
scrollToBottom();
} else if (chunk.promptFeedback?.blockReason) {
const blockMessage = \`\\n[内容被阻止: \${chunk.promptFeedback.blockReason}]\`;
currentText += blockMessage;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText; // Fallback
}
aiMessageDiv.classList.add('error-message'); // Style as error
scrollToBottom();
}
} catch (e) {
console.error("Error parsing streaming JSON chunk:", e, "Chunk:", jsonStr);
const parseErrorMessage = '\\n[解析数据块时出错]';
currentText += parseErrorMessage;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText; // Fallback
}
scrollToBottom();
}
} else if (line.trim()) { console.log("Received non-data SSE line:", line); }
}
}
// Process any remaining data in the buffer after the stream ends
if (buffer.trim() && buffer.startsWith('data: ')) {
const jsonStr = buffer.substring(6).trim();
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText; // Fallback
}
scrollToBottom();
}
} catch (e) {
console.error("Error parsing final buffer:", e);
const finalBufferError = '\\n[处理流末尾数据时出错]';
currentText += finalBufferError;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText; // Fallback
}
scrollToBottom();
}
}
} else if (selectedModelType === "imagen") {
console.log("Processing Imagen JSON response...");
try {
const data = await res.json();
console.log("Imagen response JSON parsed:", data);
if (data.images && data.images.length > 0) {
// Imagen response is typically direct HTML (img tags)
responseContentSpan.innerHTML = data.images.map((imgSrc, index) => \`<img src="\${imgSrc}" class="my-2 rounded shadow-md" alt="Generated image \${index + 1}" loading="lazy"/>\`).join('');
} else {
const message = data.message || (data.promptFeedback?.blockReason ? \`请求被阻止: \${data.promptFeedback.blockReason}\` : "未生成任何图像或收到意外响应。");
responseContentSpan.textContent = escapeHTML(message); // Display as plain text
if (message.includes("Blocked") || message.includes("Error") || message.includes("出错") || message.includes("Unexpected") || message.includes("阻止")) {
aiMessageDiv.classList.add('error-message');
}
}
scrollToBottom();
} catch (e) {
console.error("Error parsing Imagen JSON response:", e);
if(responseContentSpan && aiMessageDiv){
responseContentSpan.textContent = '解析图像响应时出错：' + e.message; // Display as plain text
aiMessageDiv.classList.add('error-message');
scrollToBottom();
}
throw new Error('Failed to parse Imagen JSON: ' + e.message);
}
console.log("Imagen JSON processing finished.");
}
console.log("handleSend processing completed successfully.");
} catch (error) {
console.error("!!!! CLIENT-SIDE CATCH BLOCK ERROR in handleSend !!!!:", error);
if (responseContentSpan) {
if (!responseContentSpan.textContent.includes("出错")) {
responseContentSpan.textContent = '客户端错误: ' + error.message; // Display as plain text
}
if (aiMessageDiv && !aiMessageDiv.classList.contains('error-message')) {
aiMessageDiv.classList.add('error-message');
}
scrollToBottom();
} else { console.error("Cannot display error in chat bubble: responseContentSpan not found."); }
} finally {
console.log("!!!! CLIENT-SIDE FINALLY BLOCK in handleSend !!!!");
setLoadingState(false);
promptTextarea.focus();
console.log("UI re-enabled.");
}
}
sendBtn.addEventListener('click', handleSend);
promptTextarea.addEventListener('keypress', (e) => { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); handleSend(); } });
promptTextarea.addEventListener('input', autoResizeTextarea);
autoResizeTextarea();
console.log("Event listeners attached and initial setup done.");
});
</script>
`;
// Main HTML structure
export function renderHTML() {
const styles = getStyles();
const clientScript = getClientScript();
return `<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>輕音Joy-AI公益站</title>
<link rel="icon" href="https://www.cloudflare.com/favicon.ico" type="image/x-icon">
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script> ${styles}
</head>
<style>
a {color: rgba(var(--link-text-rgb), 0.9)!important;text-shadow: 0 2px 4px rgba(var(--link-text-rgb), 0.3);}
a:hover {color: rgba(var(--link-text-rgb), 1)!important;text-decoration: underline;}
</style>
<body class="bg-gray-900 text-gray-100 min-h-screen flex flex-col items-center p-4 font-sans">
<h1 class="text-3xl font-bold my-6 text-center">Ultra AI ☁ Cloudflare 輕音Joy-AI公益站</h1>
<a href="https://qyjoy.vip" target="_blank" class="text-center block font-bold cursor-pointer mb-6 animate-breathe" style="text-shadow:0 0 8px rgba(0,255,255,0.7);">抖音 | Bilibili | Youtube | 小红书 | 公众号: 輕音Joy</a>
<div class="w-full max-w-6xl bg-gray-800 shadow-lg rounded-lg p-6 transition-colors duration-300">
<div class="flex flex-row gap-4 mb-4">
<div class="w-1/2">
<label for="model" class="block mb-2 text-sm font-medium text-gray-300">选择模型 Choose A Model：</label>
<select id="model" class="w-full p-2.5 rounded border border-gray-600/50 text-white focus:ring-blue-500 focus:border-blue-500" style="background:rgba(var(--input-bg-rgb),0.5)">
<option value="gemini-2.5-flash-preview-04-17">Gemini 2.5 Pro Preview</option>
</select>
</div>
<div class="w-1/2">
<label for="theme" class="block mb-2 text-sm font-medium text-gray-300">主题颜色 Theme color:</label>
<select id="theme" class="w-full p-2.5 rounded border border-gray-600/50 text-white">
<option value="default">默认色 Default Color</option>
<option value="purple">梦幻紫 Dreamy Purple</option>
<option value="green">自然绿 Natural Green</option>
<option value="pink">少女粉 Soft Pink</option>
<option value="cyberpunk">赛博霓虹 Cyberpunk Neon</option>
<option value="gradient">渐变紫橙 Gradient Purple-Orange</option>
<option value="prism">幻彩棱镜 Iridescent Prism</option>
<option value="rainbow">彩虹呼吸 Rainbow Breathing</option>
</select>
</div>
</div>
<div class="mb-4">
<label for="prompt" class="block mb-2 text-sm font-medium text-gray-300">输入你的任意问题 <br> (Input whatever you want)：</label>
<textarea id="prompt" rows="3" class="w-full p-2.5 rounded bg-gray-700 border border-gray-600/50 text-white focus:ring-blue-500 focus:border-blue-500 resize-y" placeholder="例如:列表比较云计算、雾计算和边缘计算 或 列表格比较串行计算和并行计算 (Input whatever you want here...)" style="backdrop-filter:blur(4px)"></textarea>
</div>
<button id="sendBtn" class="flex items-center justify-center gap-2 w-full p-3 rounded font-semibold text-white/90 transition duration-150 ease-in-out disabled:opacity-50 disabled:cursor-not-allowed" style="background:rgba(37,99,235,0.75)!important;border:1px solid rgba(255,255,255,0.8)!important;backdrop-filter:blur(8px);box-shadow:0 2px 8px rgba(0,0,0,0.1)">
<img src="https://www.cloudflare.com/favicon.ico" alt="Cloudflare" class="w-4 h-4"><span class="button-text">发送 Post</span><span id="sendIcon">➤</span><span id="loadingIcon" class="loader hidden"></span>
</button>
<div id="chat-container" class="mt-6 border-t border-gray-700 pt-4">
<div id="chat" class="flex flex-col space-y-4">
<div class="ai-message"><strong>AI:</strong>你好!请选择一个模型并输入任意问题😀<br><br>Hi! Get started by selecting any models and input whatever you want!</div>
</div>
</div>
<p class="text-yellow-300 font-bold mt-4 mb-2 text-center text-sm">Powered By Cloudflare ☁ Serverless | © 2025 輕音Joy</p>
</div>
<footer class="text-center text-gray-500 text-sm mt-8 pb-4"></footer>
${clientScript}
</body>
</html>`;
}
================================================
FILE: V3(stable)/request-handler.js
================================================
// request-handler.js
// Handles incoming requests, routing, and basic validation.
import { renderHTML } from './html-renderer.js';
import { handleApiCall } from './api-handler.js';
import { corsHeaders } from './utils.js';
export async function handleRequest(request, env, ctx, logPrefix) {
// --- API Key Check ---
const GEMINI_API_KEY = env.GEMINI_API_KEY;
if (!GEMINI_API_KEY || GEMINI_API_KEY.length < 30) {
console.error(`${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 = () => `
<style>
#video-bg {position: fixed;right: 0;bottom: 0;min-width: 100%;min-height: 100%;z-index: -1;object-fit: cover;}
:root {
--table-bg-rgb: 0, 0, 0;
--error-message-rgb: 185, 28, 28;
--user-text-rgb: 255, 255, 255;
--ai-text-rgb: 255, 255, 255;
--link-text-rgb: 199, 210, 254;
--theme-primary-rgb: 29, 78, 216;
--table-hover-rgb: 74, 85, 104;
--input-border-rgb: 55, 65, 81;
--table-border-rgb: 55, 65, 81;
--table-header-rgb: 30, 41, 59;
--input-bar-bg-rgb: 17, 24, 39;
}
html, body { height: 100vh;margin: 0; padding: 0; overflow: hidden;}
body {background: url('https://img.picui.cn/free/2025/05/17/6828a34e93555.png') no-repeat center center fixed;background-size: cover; display: flex; flex-direction: column;}
.main-content-area {backdrop-filter: blur(2px); flex-grow: 1; display: flex; flex-direction: column; width: 100%; overflow: hidden;}
#chat-container { flex: 1 1 auto; overflow-y: auto; scrollbar-width: thin; scrollbar-color: #4b5563 #374151; padding: 0.5rem 1rem; height: calc(100vh - 170px); }
#chat > div {background-color: rgba(var(--user-message-rgb), 0.8);}
.ai-message { background-color: rgba(var(--ai-message-rgb), 0.8);}
#prompt, #sendBtn, #clearChatBtn, #settingsBtn, #fileUploadBtn, #customApiKey, #saveApiKeyBtn, #setBgBtn, select { background-color: rgba(var(--input-bg-rgb), 0.5)!important; border-color: rgba(var(--input-border-rgb), 0.7) !important;}
#sendBtn:hover { background-color: rgba(var(--theme-primary-rgb), 0.6)!important;}
.input-bar-container {
position: fixed;
bottom: 0;
left: 0;
width: 100%;
z-index: 1000;
background-color: rgba(var(--input-bar-bg-rgb), 0.9);
backdrop-filter: blur(2px);
padding: 0.2rem 0.2rem;
border-top: 1px solid rgba(var(--input-border-rgb), 0.7);
display: flex;
flex-direction: column;
box-shadow: 0 -2px 1px rgba(0,0,0,0.1);
}
.user-message {
background-color: rgba(var(--user-message-rgb), 0.8)!important;
color: rgba(var(--user-text-rgb), 0.9)!important;
align-self: flex-end;
margin-left: 3%;
border: 1px solid rgba(var(--user-message-rgb), 0.9);
position: relative;
}
.ai-message {
background-color: rgba(var(--ai-message-rgb), 0.8)!important;
color: rgba(var(--ai-text-rgb), 0.9)!important;
align-self: flex-start;
margin-right: 2%;
white-space: pre-wrap;
border: 1px solid rgba(var(--ai-message-rgb), 0.9);
}
#chat > div { margin-bottom: 0.2rem; padding: 0.25rem; border-radius: 0.5rem; max-width: 95%; word-break: break-word; line-height: 1.6; }
.ai-message > strong::before {content: "";display: inline-block;width: 20px;height: 20px;background-image: url('https://www.gstatic.com/lamda/images/sparkle_resting_v2_1ff6f6a71f2d298b1a31.gif');background-size: contain;background-repeat: no-repeat;margin-right: 8px;vertical-align: middle;}
.text-3xl{background:linear-gradient(45deg,red,orange,yellow,green,blue,purple,red);-webkit-background-clip:text;background-clip:text;color:transparent;background-size:500% auto;animation:rainbow 10s linear infinite}@keyframes rainbow{0%{background-position:0}300%{background-position:500%}}
@keyframes textGlow{0%{text-shadow:0 0 10px rgba(var(--theme-primary-rgb),.8),0 0 20px rgba(var(--theme-primary-rgb),.6);transform:scale(1)}50%{text-shadow:0 0 30px rgba(var(--theme-primary-rgb),.9),0 0 50px rgba(var(--theme-primary-rgb),.8),0 0 70px rgba(var(--theme-primary-rgb),.6);transform:scale(1.05)}100%{text-shadow:0 0 10px rgba(var(--theme-primary-rgb),.8),0 0 20px rgba(var(--theme-primary-rgb),.6);transform:scale(1)}}
.thinking{animation:textGlow 1.5s ease-in-out infinite;color:#a78bfa!important;font:italic bold 1.2em sans-serif}
@keyframes icon2DRotate {0% { opacity: 0; transform: scale(0) rotateY(0deg); } 10% { opacity: 1; transform: scale(3) rotateY(0deg); } 50% { transform: scale(3) rotateY(180deg); } 90% { transform: scale(3) rotateY(350deg); } 100% { opacity: 0; transform: scale(0) rotateY(360deg); }}
.thinking-icon {position: fixed; top: 40%; left: 50%;width: 80px; height: 80px; margin: -40px 0 0 -40px;pointer-events: none;animation: icon2DRotate 6s ease-in-out forwards;transform-origin: center center;transform-style: preserve-3d;filter: drop-shadow(0 0 25px #dba0ff) brightness(1.5) saturate(1.8);z-index: 9999;}
@media (min-width: 768px) {
#chat > div {
max-width: min(95%, 1200px);
padding: 1rem 1.25rem;
}
.user-message, .ai-message {
margin-left: 1%;
margin-right: 1%;
}
}
.ai-message .response-content p { margin-bottom: 0.5em; }
.ai-message .response-content ul, .ai-message .response-content ol { margin-left: 0.5em; margin-bottom: 0.5em; }
.ai-message .response-content li { margin-bottom: 0.25em; }
.ai-message img.generated-image { display: block; max-width: 100%; max-height: 300px; height: auto; margin-top: 0.75rem; border-radius: 0.375rem; background-color: #4b5563; }
.ai-message strong, .user-message strong { display: block; margin-bottom: 0.25rem; font-weight: bold; color: #9ca3af; }
.ai-message .response-content strong { font-weight: bold; color: inherit; }
.error-message { background-color: rgba(var(--error-message-rgb), 0.8) !important; color: white !important; }
.loader { border: 4px solid #f3f3f3; border-top: 4px solid #3498db; border-radius: 50%; width: 20px; height: 20px; animation: spin 1s linear infinite; display: inline-block; }
@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
textarea#prompt { scrollbar-width: thin; scrollbar-color: #4b5563 #374151; min-height: 42px; /* Match button height */ line-height: 1.5; resize: none;}
@keyframes breathe{0%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}50%{color:#22d3ee;text-shadow:0 0 12px rgba(34,211,238,0.9);}100%{color:white;text-shadow:0 0 8px rgba(255,255,255,0.7);}}.animate-breathe{animation:breathe 3s ease-in-out infinite;}
.ai-message table {
border-collapse: collapse;
width: 98%;
margin: 1em auto;
background: rgba(var(--table-bg-rgb), 0.9)!important;
border: 1px solid rgba(var(--table-border-rgb), 0.8)!important;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);
}
.ai-message th { background-color: rgba(var(--table-header-rgb), 0.9)!important; color: #E2E8F0; font-weight: bold;}
.ai-message tr:hover td { background-color: rgba(var(--table-hover-rgb), 0.4)!important;}
.ai-message th, .ai-message td {
border: 1px solid rgba(var(--table-border-rgb), 0.8);
padding: 0.5rem 0.75rem;
text-align: left;
background: transparent!important;
}
.ai-message tr { background: transparent!important; }
.ai-message table strong::before { display: none!important; }
#chat > div {
transition: all 0.3s ease;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
}
#chat > div:hover {
transform: scale(1.01); /* Subtle hover */
box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2);
z-index: 10;
}
/* Edit pencil button */
.edit-prompt-btn {
position: absolute;
bottom: 5px;
right: 5px;
background: rgba(100,100,100,0.5);
color: white;
border: none;
border-radius: 50%;
width: 24px;
height: 24px;
font-size: 14px;
cursor: pointer;
display: none; /* Hidden by default */
opacity: 0.7;
transition: opacity 0.2s;
line-height: 24px; text-align: center;
}
.user-message:hover .edit-prompt-btn { display: inline-block; }
.edit-prompt-btn:hover { opacity: 1; }
/* File preview */
.file-preview-badge {
display: inline-block;
background-color: rgba(var(--theme-primary-rgb), 0.7);
color: white;
padding: 2px 8px;
border-radius: 12px;
font-size: 0.8em;
margin-right: 3px;
margin-bottom: 3px;
}
.file-preview-badge .remove-file {
margin-left: 3px;
cursor: pointer;
font-weight: bold;
}
.input-bar-container {position: fixed;bottom: 0;left: 0;right: 0;}
#filePreviews { box-shadow: none !important; border: none !important; }
#filePreviews.has-files { box-shadow: none !important; border: none !important; }
.video-preview-badge {display: inline-block;background-color: rgba(var(--theme-primary-rgb), 0.6);color: white;padding: 2px 8px;border-radius: 12px;font-size: 0.8em;margin-right: 5px;margin-bottom: 5px;}
/* Rainbow Theme Specifics */
@keyframes rainbowBreath {
0% { background-position: 0% 50%; filter: hue-rotate(0deg); opacity: 0.8; }
50% { background-position: 100% 50%; filter: hue-rotate(180deg); opacity: 0.95; }
100% { background-position: 0% 50%; filter: hue-rotate(360deg); opacity: 0.8; }
}
/* Main content area subtle rainbow background */
.rainbow-theme-bg {
animation: rainbowBreath 20s ease-in-out infinite !important;
background: linear-gradient(45deg, rgba(105,25,205,0.05) 0%, rgba(255,0,0,0.05) 15%, rgba(255,165,0,0.05) 30%, rgba(255,255,0,0.05) 45%, rgba(0,255,0,0.05) 60%, rgba(0,0,255,0.05) 75%, rgba(75,0,130,0.05) 90%, rgba(255,211,255,0.05) 100%) !important;
background-size: 300% 300% !important;
}
/* Chat bubbles for rainbow theme */
.user-message.rainbow-theme-bubble {
border-color: rgba(255,255,255,0.5) !important;
animation: rainbowBreath 9s linear infinite !important;
background: linear-gradient(60deg,
rgba(0,0,255,0.5) 0%, /* Blue */
rgba(75,0,130,0.5) 20%, /* Indigo */
rgba(255,0,0,0.5) 40%, /* Red */
rgba(255,165,0,0.5) 60%, /* Orange */
rgba(255,255,0,0.5) 80%, /* Yellow */
rgba(0,255,0,0.5) 100% /* Green */
) !important;
background-size: 300% 300% !important;
color: white !important;
}
.ai-message.rainbow-theme-bubble {
border-color: rgba(255,255,255,0.5)!important;
animation: rainbowBreath 8s linear infinite !important;
background: linear-gradient(45deg,
rgba(255, 211, 255, 0.5) 0%, /* Pinkish */
rgba(255,165,0,0.5) 20%, /* Orange */
rgba(255,255,0,0.5) 40%, /* Yellow */
rgba(0,255,0,0.5) 60%, /* Green */
rgba(0,0,255,0.5) 80%, /* Blue */
rgba(148,0,211,0.5) 100% /* Violet */
) !important;
background-size: 300% 300% !important;
color: white !important;
}
.input-bar-container.rainbow-active #prompt,
.input-bar-container.rainbow-active #sendBtn,
.input-bar-container.rainbow-active #clearChatBtn,
.input-bar-container.rainbow-active #settingsBtn,
.input-bar-container.rainbow-active #fileUploadBtn,
.input-bar-container.rainbow-active #customApiKey,
.input-bar-container.rainbow-active #saveApiKeyBtn,
.input-bar-container.rainbow-active #setBgBtn,
.input-bar-container.rainbow-active select,
.input-bar-container.rainbow-active #filePreviews .file-preview-badge,
.input-bar-container.rainbow-active #filePreviews .video-preview-badge {
animation: rainbowBreath 8s linear infinite !important;
background: linear-gradient(45deg,
rgba(255, 211, 255, 0.7) 0%, /* Pinkish */
rgba(255,165,0,0.7) 15%, /* Orange */
rgba(255,255,0,0.7) 30%, /* Yellow */
rgba(0,255,0,0.7) 45%, /* Green */
rgba(0,0,255,0.7) 60%, /* Blue */
rgba(75,0,130,0.7) 75%, /* Indigo */
rgba(148,0,211,0.7) 90%, /* Purple */
rgba(255,211,255,0.7) 100% /* Loop back to Pinkish for smooth transition */
) !important;
background-size: 300% 300% !important;
border-color: rgba(255,255,255,0.6) !important;
color: white !important; /* Ensure text is visible */
text-shadow: 0 1px 2px rgba(0,0,0,0.3);
}
/* Hover effects for the buttons in the rainbow theme */
.input-bar-container.rainbow-active #sendBtn:hover,
.input-bar-container.rainbow-active #clearChatBtn:hover,
.input-bar-container.rainbow-active #settingsBtn:hover,
.input-bar-container.rainbow-active #fileUploadBtn:hover,
.input-bar-container.rainbow-active #saveApiKeyBtn:hover,
.input-bar-container.rainbow-active #setBgBtn:hover {
filter: brightness(1.2) saturate(1.2);
box-shadow: 0 0 10px rgba(255,255,255,0.4);
}
.input-bar-container.rainbow-active #prompt::placeholder,
.input-bar-container.rainbow-active #customApiKey::placeholder {
color: rgba(255, 255, 255, 0.7) !important;
opacity: 1;
}
.dragover-active {
border-color: rgba(var(--theme-primary-rgb), 0.9) !important;
box-shadow: 0 0 0 3px rgba(var(--theme-primary-rgb), 0.6) !important;
}
#fontSizeSlider {
-webkit-appearance: none;
appearance: none;
width: 100%; /* Full width within its container */
height: 8px;
background: rgba(var(--input-bg-rgb), 0.6);
border-radius: 5px;
outline: none;
opacity: 0.8;
transition: opacity .15s ease-in-out;
border: 1px solid rgba(var(--input-border-rgb), 0.7);
}
#fontSizeSlider:hover {
opacity: 1;
}
#fontSizeSlider::-webkit-slider-thumb {
-webkit-appearance: none;
appearance: none;
width: 18px;
height: 18px;
background: rgba(var(--theme-primary-rgb), 0.9);
border-radius: 50%;
cursor: pointer;
border: 2px solid rgba(255,255,255,0.6);
box-shadow: 0 0 5px rgba(var(--theme-primary-rgb),0.6);
}
#fontSizeSlider::-moz-range-thumb {
width: 18px;
height: 18px;
background: rgba(var(--theme-primary-rgb), 0.9);
border-radius: 50%;
cursor: pointer;
border: 2px solid rgba(255,255,255,0.6);
box-shadow: 0 0 5px rgba(var(--theme-primary-rgb),0.6);
}
.input-bar-container.rainbow-active #fontSizeSlider {
border-color: rgba(255,255,255,0.6) !important; /* Already covered by general rule but explicit for clarity */
}
.input-bar-container.rainbow-active #fontSizeSlider::-webkit-slider-thumb,
.input-bar-container.rainbow-active #fontSizeSlider::-moz-range-thumb {
/* Thumb will use the animated background from the general rule for .rainbow-active controls */
}
</style>
`;
const getClientScript = () => `
<script>
document.addEventListener('DOMContentLoaded', () => {
const themeConfig = {
pink: {
bg: '45,30,40', user: '255,105,180', ai: '220,130,170', input: '200,100,150', table: '180,80,130',
tableHeader: '190,90,140', tableHover: '230,150,180', tableBorder: '210,120,160', error: '255,80,120',
primary: '255,150,200', userText: '255,240,245', aiText: '255,230,240', linkText: '255,180,220',
inputBar: '30,20,30'
},
blue: {
bg: '20,42,58', user: '30,144,200', ai: '50,110,140', input: '40,100,130', table: '35,90,120',
tableHeader: '30,41,59', tableHover: '74,85,104', tableBorder: '55,65,81', error: '185,28,28',
primary: '0,150,200', userText: '240,250,255', aiText: '230,240,250', linkText: '160,220,255',
inputBar: '17,24,39'
},
purple: {
bg: '49,46,129', user: '76,29,149', ai: '76,29,149', input: '76,29,149', table: '76,29,149',
tableHeader: '60,20,120', tableHover: '90,40,160', tableBorder: '76,29,149', error: '134,25,143',
primary: '124,58,237', userText: '245,243,255', aiText: '245,243,255', linkText: '216,180,254',
inputBar: '30,25,80'
},
green: {
bg: '6,78,59', user: '5,150,105', ai: '5,150,105', input: '5,150,105', table: '5,150,105',
tableHeader: '4,120,80', tableHover: '10,170,120', tableBorder: '5,150,105', error: '28,185,100',
primary: '16,185,129', userText: '240,253,244', aiText: '240,253,244', linkText: '167,243,208',
inputBar: '3,60,40'
},
cyberpunk: {
bg: '17,24,39', user: '63,114,175', ai: '88,28,135', input: '28,28,40', table: '28,100,138',
tableHeader: '15,82,87', tableHover: '0,255,255', tableBorder: '0,255,187', error: '255,0,122',
primary: '0,255,187', userText: '224,242,254', aiText: '245,200,255', linkText: '0,255,255',
inputBar: '10,15,30'
},
gradient: {
bg: '25,25,112', user: '70,130,180', ai: '147,112,219', input: '106,90,205', table: '72,61,139',
tableHeader: '123,104,238', tableHover: '138,43,226', tableBorder: '147,112,219', error: '255,99,71',
primary: '255,140,0', userText: '240,248,255', aiText: '230,230,250', linkText: '255,215,0',
inputBar: '20,20,80'
},
prism: {
bg: '10,10,30', user: '255,105,180', ai: '147,112,219', input: '75,0,130', table: '123,104,238',
tableHeader: '138,43,226', tableHover: '148,0,211', tableBorder: '255,20,147', error: '255,0,0',
primary: '0,255,255', userText: '255,255,255', aiText: '255,215,0', linkText: '255,20,147',
inputBar: '5,5,20'
},
rainbow: {
bg: '20,20,20',
user: '255,0,0', ai: '0,255,0', input: '0,0,255', table: '255,255,0',
tableHeader: '255,0,255', tableHover: '0,255,255', tableBorder: '255,165,0',
error: '255,0,122', primary: '148,0,211', userText: '250,250,250',
aiText: '250,250,250', linkText: '255,255,255',
inputBar: '15,15,15'
},
red: {
bg: '255,245,245', user: '255,100,100', ai: '255,150,150', input: '255,200,200', table: '255,230,230',
tableHeader: '255,180,180', tableHover: '255,210,210', tableBorder: '255,160,160', error: '255,50,50',
primary: '255,80,80', userText: '50,0,0', aiText: '60,0,0', linkText: '220,0,0', inputBar: '255,235,235'
},
yellow: {
bg: '50,40,5', user: '255,215,50', ai: '240,200,40', input: '200,180,40', table: '150,130,30',
tableHeader: '170,150,35', tableHover: '230,210,80', tableBorder: '200,180,40', error: '255,100,0',
primary: '255,190,0', userText: '40,30,0', aiText: '40,30,0', linkText: '255,165,0',
inputBar: '40,35,10'
}
};
const themeSelect = document.getElementById('theme');
const mainContentArea = document.querySelector('.main-content-area');
const inputBarContainer = document.querySelector('.input-bar-container');
function applyTheme(themeName) {
const theme = themeConfig[themeName] || themeConfig.blue; // Fallback to blue (was default)
const root = document.documentElement;
root.style.setProperty('--theme-bg-rgb', theme.bg);
root.style.setProperty('--table-hover-rgb', theme.tableHover || themeConfig.blue.tableHover);
root.style.setProperty('--table-border-rgb', theme.tableBorder || themeConfig.blue.tableBorder);
root.style.setProperty('--input-border-rgb', theme.input);
root.style.setProperty('--table-header-rgb', theme.tableHeader || themeConfig.blue.tableHeader);
root.style.setProperty('--user-message-rgb', theme.user);
root.style.setProperty('--ai-message-rgb', theme.ai);
root.style.setProperty('--input-bg-rgb', theme.input);
root.style.setProperty('--table-bg-rgb', theme.table);
root.style.setProperty('--error-message-rgb', theme.error);
root.style.setProperty('--theme-primary-rgb', theme.primary);
root.style.setProperty('--user-text-rgb', theme.userText);
root.style.setProperty('--ai-text-rgb', theme.aiText);
root.style.setProperty('--link-text-rgb', theme.linkText);
root.style.setProperty('--input-bar-bg-rgb', theme.inputBar || themeConfig.blue.inputBar);
const isCyberpunk = themeName === 'cyberpunk';
const allInteractiveElements = document.querySelectorAll(
'select, #prompt, #sendBtn, #clearChatBtn, #settingsBtn, #fileUploadBtn, #customApiKey, #saveApiKeyBtn, #setBgBtn, #fontSizeSlider'
);
const textElementsInSettings = document.querySelectorAll('#apiKeyControls label, #fontSizeValue');
allInteractiveElements.forEach(el => {
// Clear any inline styles first, to let CSS classes take precedence or apply new theme's styles
el.style.borderColor = '';
el.style.backgroundColor = '';
if (themeName === 'rainbow') {
} else if (isCyberpunk) {
el.style.borderColor = 'rgba(0,255,187,0.8)';
el.style.backgroundColor = 'rgba(28,28,40,0.9)';
// Ensure text color for cyberpunk if not covered by general styles
if (el.tagName === 'SELECT' || el.id === 'prompt' || el.id === 'customApiKey') {
el.style.color = 'white';
}
} else { // Other themes (blue, pink, etc.)
el.style.borderColor = 'rgba(' + getComputedStyle(root).getPropertyValue('--input-border-rgb') + ',0.7)';
el.style.backgroundColor = 'rgba(' + getComputedStyle(root).getPropertyValue('--input-bg-rgb') + ',0.5)';
// Ensure text color for other themes if not covered (usually white by default)
if (el.tagName === 'SELECT' || el.id === 'prompt' || el.id === 'customApiKey') {
el.style.color = 'rgba(' + getComputedStyle(root).getPropertyValue('--user-text-rgb') + ',0.9)';
}
}
});
textElementsInSettings.forEach(el => {
if (themeName === 'rainbow') {
} else {
el.style.color = 'rgba(' + getComputedStyle(root).getPropertyValue('--user-text-rgb') + ',0.9)';
el.style.textShadow = '';
}
});
if (mainContentArea) {
mainContentArea.classList.toggle('rainbow-theme-bg', themeName === 'rainbow');
}
document.body.classList.remove('rainbow-theme-active');
if (inputBarContainer) {
inputBarContainer.classList.toggle('rainbow-active', themeName === 'rainbow');
}
document.querySelectorAll('#chat > div').forEach(el => {
el.style.backgroundColor = '';
if (themeName === 'rainbow') {
el.classList.add('rainbow-theme-bubble');
} else {
el.classList.remove('rainbow-theme-bubble');
// Reapply theme-specific bubble colors if not rainbow
if (el.classList.contains('user-message')) {
el.style.backgroundColor = 'rgba(' + getComputedStyle(root).getPropertyValue('--user-message-rgb') + ',0.8)';
} else if (el.classList.contains('ai-message')) {
el.style.backgroundColor = 'rgba(' + getComputedStyle(root).getPropertyValue('--ai-message-rgb') + ',0.8)';
}
}
});
}
function initTheme() {
themeSelect.value = 'rainbow';
applyTheme('rainbow');
themeSelect.addEventListener('change', (e) => {
applyTheme(e.target.value);
adjustMainContentPadding();
const currentScroll = chatContainer.scrollTop;
setTimeout(() => chatContainer.scrollTop = currentScroll, 0);
});
applyTheme('rainbow');
adjustMainContentPadding();
}
initTheme();
function adjustMainContentPadding() {
const inputBar = document.querySelector('.input-bar-container');
const mainArea = document.querySelector('.main-content-area');
const filePreviews = document.getElementById('filePreviews');
if (inputBar && mainArea) {
var inputBarHeight = inputBar.offsetHeight;
mainArea.style.paddingBottom = inputBarHeight + 'px';
if (filePreviews) { // Adjust file previews to sit above the input bar
filePreviews.style.bottom = (inputBarHeight + 1) + 'px';
}
}
}
"use strict";
console.log("DOM fully loaded and parsed.");
const chat = document.getElementById('chat');
const chatContainer = document.getElementById('chat-container');
const sendBtn = document.getElementById('sendBtn');
const promptTextarea = document.getElementById('prompt');
const modelSelect = document.getElementById('model');
const sendIcon = document.getElementById('sendIcon');
const loadingIcon = document.getElementById('loadingIcon');
const buttonText = sendBtn ? sendBtn.querySelector('.button-text') : null;
const clearChatBtn = document.getElementById('clearChatBtn');
const settingsBtn = document.getElementById('settingsBtn');
const customApiKeyInput = document.getElementById('customApiKey');
const saveApiKeyBtn = document.getElementById('saveApiKeyBtn');
const setBgBtn = document.getElementById('setBgBtn');
const bgFileInput = document.getElementById('bgFileInput');
const apiKeyControls = document.getElementById('apiKeyControls');
const fileUploadBtn = document.getElementById('fileUploadBtn');
const fileInput = document.getElementById('fileUpload');
const filePreviewsContainer = document.getElementById('filePreviews');
const DEFAULT_BODY_BACKGROUND_IMAGE = "url('https://www.sensecore.cn/upload/20230330/crjfafitbja7qufwrt.jpg')";
const fontSizeSlider = document.getElementById('fontSizeSlider');
const fontSizeValue = document.getElementById('fontSizeValue');
let conversationHistory = [];
let uploadedFiles = [];
const essentialElements = [chat, chatContainer, sendBtn, promptTextarea, modelSelect, sendIcon, loadingIcon, buttonText, clearChatBtn, settingsBtn, customApiKeyInput, saveApiKeyBtn, setBgBtn, bgFileInput, apiKeyControls, fileUploadBtn, fileInput, filePreviewsContainer, fontSizeSlider, fontSizeValue];
if (essentialElements.some(el => !el)) {
console.error("CRITICAL ERROR: One or more essential HTML elements not found. Missing elements:", essentialElements.map((el,i) => el ? '' : i).filter(String));
alert("Page load error: Essential chat interface elements are missing. Please check HTML or try later.");
return;
}
console.log("All essential elements found.");
const savedApiKey = localStorage.getItem('customGeminiApiKey');
if (savedApiKey) {
customApiKeyInput.value = savedApiKey;
console.log("Loaded custom API key from localStorage.");
}
function applyChatFontSize(size) {
const newSize = parseInt(size, 10);
if (chat) chat.style.fontSize = \`\${newSize}px\`;
if (fontSizeSlider) fontSizeSlider.value = newSize;
if (fontSizeValue) fontSizeValue.textContent = \`\${newSize}px\`;
localStorage.setItem('chatFontSize', newSize);
}
const savedFontSize = localStorage.getItem('chatFontSize') || '16'; // Default 16px
applyChatFontSize(savedFontSize);
fontSizeSlider.addEventListener('input', function() {
applyChatFontSize(this.value);
});
settingsBtn.addEventListener('click', () => {
apiKeyControls.classList.toggle('hidden');
adjustInputBarLayout();
setTimeout(adjustMainContentPadding, 50);
});
saveApiKeyBtn.addEventListener('click', () => {
const apiKey = customApiKeyInput.value.trim();
if (apiKey) {
localStorage.setItem('customGeminiApiKey', apiKey);
alert('API Key saved locally.');
} else {
localStorage.removeItem('customGeminiApiKey');
alert('Custom API Key cleared.');
}
apiKeyControls.classList.add('hidden');
adjustInputBarLayout();
setTimeout(adjustMainContentPadding, 50);
});
setBgBtn.addEventListener('click', () => {
bgFileInput.click();
});
bgFileInput.addEventListener('change', (event) => {
const file = event.target.files[0];
if (file && file.type.startsWith('image/')) {
const reader = new FileReader();
reader.onload = (e) => {
const oldVideo = document.getElementById('video-bg');
if (oldVideo) oldVideo.remove();
document.body.style.backgroundImage = 'url(' + e.target.result + ')';
const bgData = {
type: 'image',
imageData: e.target.result,
expiry: new Date().getTime() + (24 * 60 * 60 * 1000)
};
localStorage.setItem('customBackgroundData', JSON.stringify(bgData));
};
reader.readAsDataURL(file);
} else if (file && file.type.startsWith('video/')) {
const reader = new FileReader();
reader.onload = (e) => {
document.body.style.backgroundImage = 'none';
const oldVideo = document.getElementById('video-bg');
if (oldVideo) oldVideo.remove();
const videoHTML = \`<video autoplay muted loop id="video-bg">
<source src="\` + e.target.result + \`" type="\` + file.type + \`"
</video>
\`;
document.body.insertAdjacentHTML('afterbegin', videoHTML);
const bgData = {
type: 'video',
videoData: e.target.result,
videoDataUrl: e.target.result,
videoMimeType: file.type,
expiry: new Date().getTime() + (24 * 60 * 60 * 1000)
};
localStorage.setItem('customBackgroundData', JSON.stringify(bgData));
};
reader.readAsDataURL(file);
} else if (file) {
alert('Please select a valid image file.');
}
bgFileInput.value = '';
});
clearChatBtn.addEventListener('click', () => {
chat.innerHTML = '';
conversationHistory = [];
uploadedFiles = [];
filePreviewsContainer.innerHTML = '';
resetToDefaultBackground();
addMessage("你好!请选择一个模型并输入任意问题😀<br>Hi! Get started by selecting any models and input whatever you want!", 'ai', false, 'initial-greeting');
scrollToBottom();
});
fileUploadBtn.addEventListener('click', () => {
fileInput.click();
});
function processAndAddFiles(filesToProcess) {
var alertShownForLimitThisBatch = false;
// filesToProcess can be a FileList or an Array of File objects
for (var i = 0; i < filesToProcess.length; i++) {
var file = filesToProcess[i];
if (uploadedFiles.length >= 10) {
if (!alertShownForLimitThisBatch) {
alert("Maximum 10 files allowed. Some subsequent files from this batch were not added.");
alertShownForLimitThisBatch = true;
}
break; // Stop processing more files from this batch
}
if (file.size > 100 * 1024 * 1024) { // 100MB limit
alert("File '" + file.name + "' is too large (max 100MB) and will not be uploaded.");
continue; // Skip this file, process next in the loop
}
var reader = new FileReader();
// Use an IIFE to correctly capture the 'file' variable for the async onload callback
(function(fileForReader) {
reader.onload = function(e) {
// Final check before pushing, in case limit was hit by other async file reads
if (uploadedFiles.length < 10) {
var base64Data = e.target.result.split(',')[1];
uploadedFiles.push({
name: fileForReader.name,
mimeType: fileForReader.type,
base64Data: base64Data
});
renderFilePreviews(); // This will call adjustMainContentPadding
} else {
// This case might be hit if many small files are processed rapidly and fill the queue
if (!alertShownForLimitThisBatch) {
alert("最多支持上传10文件！Maximum 10 files allowed. File " + fileForReader.name + " could not be added as limit was reached during processing.");
alertShownForLimitThisBatch = true;
}
}
};
reader.readAsDataURL(fileForReader);
})(file);
}
}
fileInput.addEventListener('change', function(event) {
var files = event.target.files;
if (!files) return;
processAndAddFiles(files);
fileInput.value = ''; // Clear the input to allow re-selecting the same file
});
function renderFilePreviews() {
filePreviewsContainer.innerHTML = '';
var filesToRender = uploadedFiles.slice(0, 10);
filesToRender.forEach(function(file) {
var badge = document.createElement('span');
badge.className = 'file-preview-badge';
badge.textContent = file.name.length > 15 ? file.name.substring(0,12) + '...' : file.name;
var removeBtn = document.createElement('span');
removeBtn.className = 'remove-file';
removeBtn.textContent = 'x';
removeBtn.title = 'Remove ' + file.name;
var fileToRemoveOnClick = file;
removeBtn.onclick = function() {
var originalIndex = -1;
for(var i = 0; i < uploadedFiles.length; i++) {if(uploadedFiles[i] === fileToRemoveOnClick) {originalIndex = i;break;}}
if (originalIndex !== -1) {uploadedFiles.splice(originalIndex, 1);} else {console.warn("Could not find file by reference in uploadedFiles to remove it. This may happen if array/object was unexpectedly altered."); }
renderFilePreviews();
};
badge.appendChild(removeBtn);
filePreviewsContainer.appendChild(badge);
});
adjustMainContentPadding();
}
function adjustInputBarLayout() {
const isApiInputVisible = !apiKeyControls.classList.contains('hidden');
if (isApiInputVisible) {
sendBtn.classList.remove('flex-grow');
sendBtn.style.width = 'auto';
} else {
sendBtn.classList.add('flex-grow');
sendBtn.style.width = '';
}
}
adjustInputBarLayout();
promptTextarea.addEventListener('dragover', function(event) {
event.preventDefault(); // Necessary to allow drop
event.stopPropagation();
promptTextarea.classList.add('dragover-active');
});
promptTextarea.addEventListener('dragleave', function(event) {
event.preventDefault();
event.stopPropagation();
promptTextarea.classList.remove('dragover-active');
});
promptTextarea.addEventListener('drop', function(event) {
event.preventDefault();
event.stopPropagation();
promptTextarea.classList.remove('dragover-active');
var files = event.dataTransfer.files;
if (files && files.length > 0) {
processAndAddFiles(files);
}
});
promptTextarea.addEventListener('paste', function(event) {
var clipboardItems = (event.clipboardData || event.originalEvent.clipboardData).items;
var filesToProcess = [];
if (clipboardItems) {
for (var i = 0; i < clipboardItems.length; i++) {
if (clipboardItems[i].kind === 'file') {
var file = clipboardItems[i].getAsFile();
if (file) { filesToProcess.push(file); }
}
}
}
if (filesToProcess.length > 0) {
event.preventDefault(); // Prevent pasting file path as text or file metadata
processAndAddFiles(filesToProcess);
}
});
function setLoadingState(isLoading) {
if (!sendBtn || !promptTextarea || !buttonText || !sendIcon || !loadingIcon) {
console.error("Error inside setLoadingState: Required elements missing.");
return;
}
try {
sendBtn.disabled = isLoading;
promptTextarea.disabled = isLoading;
fileUploadBtn.disabled = isLoading;
clearChatBtn.disabled = isLoading;
settingsBtn.disabled = isLoading;
buttonText.textContent = isLoading ? "处理中..." : "发送 (Post)";
sendIcon.classList.toggle('hidden', isLoading);
loadingIcon.classList.toggle('hidden', !isLoading);
} catch (e) { console.error("Error executing setLoadingState:", e); }
}
function spawnThinkingIcon() {
let icon = document.querySelector('.thinking-icon');
if (icon) icon.remove();
icon = document.createElement('img');
icon.src = 'https://i.ibb.co/ch21FSqt/cf.png';
icon.className = 'thinking-icon';
document.body.appendChild(icon);
icon.addEventListener('animationend', function() { icon.remove(); });
}
function addMessage(textOrParts, sender = 'ai', isLoading = false, messageId = null) {
if (!chat || !modelSelect) { console.error("Error inside addMessage: Chat or modelSelect element not found."); return null; }
try {
let messageDiv = document.createElement('div');
messageDiv.classList.add(sender === 'user' ? 'user-message' : 'ai-message');
if (messageId) messageDiv.id = messageId;
// Apply rainbow bubble class if rainbow theme is active
if (inputBarContainer && inputBarContainer.classList.contains('rainbow-active')) {
messageDiv.classList.add('rainbow-theme-bubble');
}
const senderStrong = document.createElement('strong');
senderStrong.textContent = sender === 'user' ? '你:' : 'AI:';
messageDiv.appendChild(senderStrong);
const contentSpan = document.createElement('span');
contentSpan.className = 'response-content';
if (isLoading) {
const thinkingSpan = document.createElement('span');
thinkingSpan.className = 'thinking';
thinkingSpan.textContent = '🧠深度思考中(Deep Reasoning)...';
messageDiv.appendChild(thinkingSpan);
messageDiv.appendChild(contentSpan);
spawnThinkingIcon();
} else {
if (sender === 'user') {
if (typeof textOrParts === 'string') {
contentSpan.textContent = textOrParts;
} else if (Array.isArray(textOrParts)) {
textOrParts.forEach(part => {
if (part.text) {
const p = document.createElement('p');
p.textContent = part.text;
contentSpan.appendChild(p);
} else if (part.inline_data && part.inline_data.mime_type.startsWith('image/')) {
const img = document.createElement('img');
img.src = 'data:' + part.inline_data.mime_type + ';base64,' + part.inline_data.data;
img.alt = 'Uploaded image';
img.style.maxWidth = '200px'; img.style.maxHeight = '200px'; img.style.borderRadius = '0.375rem'; img.style.marginTop = '0.5rem';
contentSpan.appendChild(img);
} else if (part.file_data) {
const p = document.createElement('p');
p.textContent = '[File: ' + part.file_data.file_name + ']';
contentSpan.appendChild(p);
}
});
}
const pencilBtn = document.createElement('button');
pencilBtn.innerHTML = '✎';
pencilBtn.className = 'edit-prompt-btn';
pencilBtn.title = 'Edit this prompt';
pencilBtn.onclick = function() {
let promptTextToEdit = '';
if (typeof textOrParts === 'string') {
promptTextToEdit = textOrParts;
} else if (Array.isArray(textOrParts)) {
const textPart = textOrParts.find(p => p.text);
if (textPart) promptTextToEdit = textPart.text;
}
promptTextarea.value = promptTextToEdit;
promptTextarea.focus();
};
messageDiv.appendChild(pencilBtn);
} else { // AI message
if (typeof marked !== 'undefined') {
contentSpan.innerHTML = marked.parse(textOrParts);
} else {
contentSpan.textContent = textOrParts;
}
}
messageDiv.appendChild(contentSpan);
}
chat.appendChild(messageDiv);
scrollToBottom();
chatContainer.scrollTop = chatContainer.scrollHeight;
return messageDiv;
} catch (e) { console.error("Error executing addMessage:", e); return null; }
}
addMessage("你好!请选择一个模型并输入任意问题😀<br><br>Hi! Get started by selecting any models and input whatever you want!", 'ai', false, 'initial-greeting');
function scrollToBottom() {
try {
if (chatContainer) {
// 添加平滑滚动效果
chatContainer.scrollTo({
top: chatContainer.scrollHeight,
behavior: 'smooth'
});
}
} catch (e) { console.error("Error scrolling:", e); }
}
function escapeHTML(str) {
if (typeof str !== 'string') return '';
const p = document.createElement('p');
p.appendChild(document.createTextNode(str));
return p.innerHTML;
}
function autoResizeTextarea() {
try {
if (promptTextarea) {
promptTextarea.style.height = 'auto';
let newHeight = promptTextarea.scrollHeight;
const maxHeight = 200;
if (newHeight > maxHeight) {
newHeight = maxHeight;
promptTextarea.style.overflowY = 'auto';
} else {
promptTextarea.style.overflowY = 'hidden';
}
promptTextarea.style.height = newHeight + 'px';
} else { console.error("Error resizing textarea: promptTextarea not found.");}
} catch (e) { console.error("Error executing autoResizeTextarea:", e); }
}
async function handleSend() {
let aiMessageDiv = null;
let responseContentSpan = null;
try {
const promptText = promptTextarea.value.trim();
const model = modelSelect.value;
if (!promptText && uploadedFiles.length === 0) {
alert("请输入你的内容、描述或上传文件！");
promptTextarea.focus(); return;
}
setLoadingState(true);
const userMessageParts = [];
if (promptText) {
userMessageParts.push({ text: promptText });
}
uploadedFiles.forEach(file => {
userMessageParts.push({ inline_data: { mime_type: file.mimeType, data: file.base64Data }, file_data: { file_name: file.name } });
});
addMessage(userMessageParts.length > 0 ? userMessageParts : promptText, 'user');
const currentTurnUserParts = [];
if (promptText) {
currentTurnUserParts.push({ text: promptText });
}
uploadedFiles.forEach(file => {
currentTurnUserParts.push({ inline_data: { mime_type: file.mimeType, data: file.base64Data } });
});
conversationHistory.push({ role: "user", parts: currentTurnUserParts });
promptTextarea.value = '';
uploadedFiles = [];
renderFilePreviews();
autoResizeTextarea();
aiMessageDiv = addMessage('', 'ai', true);
if (!aiMessageDiv) { throw new Error("Failed to create AI placeholder message element."); }
responseContentSpan = aiMessageDiv.querySelector('.response-content');
const thinkingSpan = aiMessageDiv.querySelector('.thinking');
if (!responseContentSpan) { throw new Error("Failed to find response content span in AI placeholder."); }
const requestPayload = {
prompt: promptText,
model: model,
history: conversationHistory.slice(0, -1),
currentTurnParts: currentTurnUserParts
};
const customKey = localStorage.getItem('customGeminiApiKey');
if (customKey) {
requestPayload.customApiKey = customKey;
}
const res = await fetch(location.href, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(requestPayload)
});
if (thinkingSpan) thinkingSpan.remove();
let thinkingIcon = document.querySelector('.thinking-icon');
if (thinkingIcon) thinkingIcon.remove();
if (!res.ok) {
const errorText = await res.text();
console.error("Worker/API Error Response (Status " + res.status + "):", errorText);
if (responseContentSpan && aiMessageDiv) {
responseContentSpan.textContent = "请求出错 (" + res.status + "): " + escapeHTML(errorText.substring(0, 500)) + (errorText.length > 500 ? '...' : '');
aiMessageDiv.classList.add('error-message');
conversationHistory.pop();
scrollToBottom();
} else { console.error("Cannot display fetch error in chat: message elements not found."); }
throw new Error("Server responded with status " + res.status);
}
console.log("Processing Gemini SSE stream...");
const reader = res.body.getReader();
const decoder = new TextDecoder();
let buffer = '';
let currentText = '';
// eslint-disable-next-line no-constant-condition
while (true) {
const { done, value } = await reader.read();
if (done) { console.log("SSE stream finished."); break; }
buffer += decoder.decode(value, { stream: true });
const lines = buffer.split('\\n');
buffer = lines.pop();
for (const line of lines) {
if (line.startsWith('data: ')) {
const jsonStr = line.substring(6).trim();
if (jsonStr === '[DONE]' || !jsonStr) continue;
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText;
}
scrollToBottom();
} else if (chunk.promptFeedback?.blockReason) {
const blockMessage = "\\n[内容被阻止: " + chunk.promptFeedback.blockReason + "]";
currentText += blockMessage;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText;
}
aiMessageDiv.classList.add('error-message');
scrollToBottom();
}
} catch (e) {
console.error("Error parsing streaming JSON chunk:", e, "Chunk:", jsonStr);
const parseErrorMessage = '\\n[解析数据块时出错]';
currentText += parseErrorMessage;
if (typeof marked !== 'undefined') {
responseContentSpan.innerHTML = marked.parse(currentText);
} else {
responseContentSpan.textContent = currentText;
}
scrollToBottom();
}
} else if (line.trim()) { console.log("Received non-data SSE line:", line); }
}
}
if (buffer.trim() && buffer.startsWith('data: ')) {
const jsonStr = buffer.substring(6).trim();
try {
const chunk = JSON.parse(jsonStr);
const textPart = chunk.candidates?.[0]?.content?.parts?.[0]?.text;
if (textPart) {
currentText += textPart;
if (typeof marked !== 'undefined') { responseContentSpan.innerHTML = marked.parse(currentText); }
else { responseContentSpan.textContent = currentText; }
scrollToBottom();
}
} catch (e) {
console.error("Error parsing final buffer:", e);
currentText += '\\n[处理流末尾数据时出错]';
if (typeof marked !== 'undefined') { responseContentSpan.innerHTML = marked.parse(currentText); }
else { responseContentSpan.textContent = currentText; }
scrollToBottom();
}
}
if (currentText) {
conversationHistory.push({ role: "model", parts: [{ text: currentText }] });
} else if (aiMessageDiv.classList.contains('error-message')) {
} else {
responseContentSpan.textContent = "[AI did not provide a text response]";
conversationHistory.push({ role: "model", parts: [{ text: "" }] });
}
console.log("handleSend processing completed successfully.");
} catch (error) {
console.error("CLIENT-SIDE CATCH BLOCK ERROR in handleSend:", error);
if (responseContentSpan) {
if (!responseContentSpan.textContent.includes("出错")) {
responseContentSpan.textContent = '客户端错误: ' + error.message;
}
if (aiMessageDiv && !aiMessageDiv.classList.contains('error-message')) {
aiMessageDiv.classList.add('error-message');
}
scrollToBottom();
} else { console.error("Cannot display error in chat bubble: responseContentSpan not found."); }
} finally {
console.log("CLIENT-SIDE FINALLY BLOCK in handleSend");
setLoadingState(false);
promptTextarea.focus();
let thinkingIcon = document.querySelector('.thinking-icon');
if (thinkingIcon) thinkingIcon.remove();
console.log("UI re-enabled.");
}
}
function resetToDefaultBackground() {
document.body.style.backgroundImage = DEFAULT_BODY_BACKGROUND_IMAGE;
const oldVideo = document.getElementById('video-bg');
if (oldVideo) oldVideo.remove();
localStorage.removeItem('customBackgroundData');
}
const savedBgDataString = localStorage.getItem('customBackgroundData');
if (savedBgDataString) {
try {
const savedBgData = JSON.parse(savedBgDataString);
if (savedBgData && savedBgData.expiry && new Date().getTime() < savedBgData.expiry) {
if (savedBgData.type === 'video' && savedBgData.videoDataUrl && savedBgData.videoMimeType) {
document.body.style.backgroundImage = 'none';
const oldVideo = document.getElementById('video-bg');
if (oldVideo) oldVideo.remove();
const videoHTML = \`<video autoplay muted loop id="video-bg">
<source src="\` + savedBgData.videoDataUrl + \`" type="\` + savedBgData.videoMimeType + \`">
</video>
\`;
document.body.insertAdjacentHTML('afterbegin', videoHTML);
} else if (savedBgData.type === 'image' && savedBgData.imageData) {
const oldVideo = document.getElementById('video-bg');
if (oldVideo) oldVideo.remove();
document.body.style.backgroundImage = 'url(' + savedBgData.imageData + ')';
} else {
resetToDefaultBackground();
}
} else {
resetToDefaultBackground();
}
} catch (e) {
console.error("Error parsing custom background data:", e);
resetToDefaultBackground();
}
}
sendBtn.addEventListener('click', handleSend);
promptTextarea.addEventListener('keypress', (e) => { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); handleSend(); } });
promptTextarea.addEventListener('input', autoResizeTextarea);
autoResizeTextarea();
window.addEventListener('resize', adjustMainContentPadding);
console.log("Event listeners attached and initial setup done.");
});
</script>
`;
// Main HTML structure
export function renderHTML(isMobile) {
const styles = getStyles();
const clientScript = getClientScript();
const viewportMeta = isMobile
? '<meta name="viewport" content="width=1024"> <!-- Forcing desktop-like viewport for mobile -->'
: '<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">';
return `<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">${viewportMeta}
<title>輕音Joy-AI公益站</title>
<link rel="icon" href="https://www.cloudflare.com/favicon.ico" type="image/x-icon">
<script src="https://cdn.tailwindcss.com"></script>
<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
` + styles + `
</head>
<style>
a {color: rgba(var(--link-text-rgb), 0.9)!important;text-shadow: 0 2px 4px rgba(var(--link-text-rgb), 0.3);}
a:hover {color: rgba(var(--link-text-rgb), 1)!important;text-decoration: underline;}
.hidden { display: none !important; }
</style>
<body class="bg-gray-900 text-gray-100 font-sans">
<div class="main-content-area">
<div class="p-0 text-center mb-1">
<h1 class="text-3xl font-bold my-1">Ultra AI ☁ Cloudflare 輕音Joy-AI公益站</h1>
<a href="https://www.qyjoy.vip" target="_blank" class="block font-bold cursor-pointer mb-1 animate-breathe" style="text-shadow:0 0 3px rgba(150, 255, 3, 0.97);">Serverless Powered By ⚡ 抖音|Bilibili|Youtube|网易云|公众号:輕音Joy</a>
</div>
<div class="px-4 sm:px-6 pb-0">
<div class="flex flex-col sm:flex-row gap-3 my-1">
<div class="w-full sm:w-1/2">
<label for="model" class="block mb-1 text-sm font-medium text-gray-300">👆选择模型 Choose A Model：</label>
<select id="model" class="w-full p-2.5 rounded border text-white focus:ring-blue-500 focus:border-blue-500">
<option value="gemini-2.0-flash" selected>Gemini 2.0 Flash ⚡ (Popular)</option>
<option value="gemini-2.5-flash-preview-05-20">Gemini 2.5 Preview 🔥 (Hot)</option>
<option value="gemini-2.5-pro-preview-06-05">Gemini 2.5 Pro Preview ⚙ (请在设置中填入自己的API)</option>
<option value="gemini-2.0-flash-preview-image-generation">Gemini Image Gen 图片生成 🛠️ (需在设置中填入自己的API)</option>
<option value="veo-2.0-generate-001">Gemini Veo2 视频生成 🎬 (需在设置中填入自己的API)</option>
<option value="" disabled>ChatGPT 4.5 🧪 (研发中-敬请期待)</option>
<option value="" disabled>Claude 3.7 🔬 (研发中-敬请期待)</option>
<option value="" disabled>Cursor 💡 (研发中-敬请期待)</option>
</select>
</div>
<div class="w-full sm:w-1/2">
<label for="theme" class="block mb-1 text-sm font-medium text-gray-300">🎨主题颜色 Theme color:</label>
<select id="theme" class="w-full p-2.5 rounded border text-white">
<option value="rainbow" selected>🌈彩虹呼吸 Rainbow Breathing</option>
<option value="cyberpunk">💿赛博霓虹 Cyberpunk Neon</option>
<option value="prism">💠幻彩棱镜 Iridescent Prism</option>
<option value="blue">🔵科技蓝 Tech Blue</option>
<option value="purple">🟣梦幻紫 Dreamy Purple</option>
<option value="green">🟢自然绿 Natural Green</option>
<option value="pink">💖少女粉 Soft Pink</option>
<option value="gradient">🟠渐变紫橙 Gradient Purple-Orange</option>
<option value="red">🔴热情红 Passionate Red</option>
<option value="yellow">🟡活力黄 Vibrant Yellow</option>
</select>
</div>
</div>
</div>
<div id="chat-container" class="flex-grow px-2 pb-1">
<div id="chat" class="flex flex-col space-y-2 p-1">
</div>
</div>
</div>
<div class="input-bar-container bg-transparent">
<div id="filePreviews" class="fixed bottom-[60px] left-4 right-4 max-h-[30vh] overflow-y-auto rounded-lg shadow-lg z-10"></div>
<div class="flex items-end gap-2 relative">
<button id="fileUploadBtn" title="Upload Files" class="p-2.5 rounded text-white hover:bg-gray-700 transition-colors">
<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><line x1="12" y1="5" x2="12" y2="19"></line><line x1="5" y1="12" x2="19" y2="12"></line></svg>
</button>
<input type="file" id="fileUpload" multiple accept=".ini,.txt,.doc,.docx,.pdf,text/*,image/*,application/pdf,application/msword,application/vnd.openxmlformats-officedocument.wordprocessingml.document" class="hidden">
<textarea id="prompt" rows="1" class="flex-grow p-2.5 rounded border text-white focus:ring-blue-500 focus:border-blue-500" placeholder="输入你的任意问题... (Input whatever you want here...)"></textarea>
<button id="sendBtn" class="flex-grow sm:flex-grow-0 flex items-center justify-center gap-2 p-2.5 rounded font-semibold text-white/90 transition duration-150 ease-in-out disabled:opacity-50 disabled:cursor-not-allowed" style="min-width: 120px; border:1px solid rgba(255,255,255,0.8)!important;box-shadow:0 2px 8px rgba(0,0,0,0.1)">
<img src="https://www.cloudflare.com/favicon.ico" alt="Cloudflare" class="w-4 h-4">
<span class="button-text">发送 Post</span><span id="sendIcon">➤</span><span id="loadingIcon" class="loader hidden"></span>
</button>
<button id="clearChatBtn" title="Clear Chat & Memory" class="p-2.5 rounded text-white hover:bg-gray-700 transition-colors">
<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><polyline points="3 6 5 6 21 6"></polyline><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"></path><line x1="10" y1="11" x2="10" y2="17"></line><line x1="14" y1="11" x2="14" y2="17"></line></svg>
</button>
<button id="settingsBtn" title="Settings / Custom API Key" class="p-2.5 rounded text-white hover:bg-gray-700 transition-colors">
<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="3"></circle><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1 0 2.83 2 2 0 0 1-2.83 0l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-2 2 2 2 0 0 1-2-2v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83 0 2 2 0 0 1 0-2.83l.06-.06a1.65 1.65 0 0 0 .33-1.82 1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1-2-2 2 2 0 0 1 2-2h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 0-2.83 2 2 0 0 1 2.83 0l.06.06a1.65 1.65 0 0 0 1.82.33H9a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 2-2 2 2 0 0 1 2 2v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 0 2 2 0 0 1 0 2.83l-.06.06a1.65 1.65 0 0 0-.33 1.82V9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 2 2 2 2 0 0 1-2 2h-.09a1.65 1.65 0 0 0-1.51 1z"></path></svg>
</button>
</div>
<div id="apiKeyControls" class="hidden mt-2 flex items-center gap-2">
<input type="password" id="customApiKey" placeholder="输入自定义API (Enter Your Own API Key if needed)" class="flex-grow p-2 rounded border text-white" style="min-width: 180px;">
<button id="saveApiKeyBtn" class="p-2 rounded bg-blue-600 hover:bg-blue-700 text-white font-semibold">保存API(Save)</button>
<div id="fontSizeControlContainer" class="flex items-center gap-2 flex-grow" style="min-width: 200px; max-width:300px;">
<label for="fontSizeSlider" class="text-sm text-gray-300 whitespace-nowrap">字号(FontSize):</label>
<input type="range" id="fontSizeSlider" m
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
SYMBOL INDEX (18 symbols across 16 files)
FILE: All in one Portable(outdated)/AI-WorkerOldRelease.js
function corsHeaders (line 2) | function corsHeaders()
function renderHTML (line 9) | function renderHTML() {
method fetch (line 494) | async fetch(request, env, ctx) {
FILE: V3(stable)/api-handler.js
function handleApiCall (line 6) | async function handleApiCall(request, env, logPrefix) {
FILE: V3(stable)/html-rendererv3.js
function renderHTML (line 578) | function renderHTML() {
FILE: V3(stable)/request-handler.js
function handleRequest (line 7) | async function handleRequest(request, env, ctx, logPrefix) {
FILE: V3(stable)/utils.js
function corsHeaders (line 4) | function corsHeaders() {
FILE: V3(stable)/worker.js
method fetch (line 7) | async fetch(request, env, ctx) {
FILE: V4 EX(For mobile support Expand)/api-handler.js
function handleApiCall (line 2) | async function handleApiCall(request, env, logPrefix) {
FILE: V4 EX(For mobile support Expand)/html-renderer.js
function renderHTML (line 1103) | function renderHTML(isMobile) {
FILE: V4 EX(For mobile support Expand)/request-handler.js
function handleRequest (line 7) | async function handleRequest(request, env, ctx, logPrefix, isMobile) {
FILE: V4 EX(For mobile support Expand)/utils.js
function corsHeaders (line 4) | function corsHeaders() {
FILE: V4 EX(For mobile support Expand)/worker.js
method fetch (line 7) | async fetch(request, env, ctx) {
FILE: V4(latest)/api-handler.js
function handleApiCall (line 6) | async function handleApiCall(request, env, logPrefix) {
FILE: V4(latest)/html-renderer.js
function renderHTML (line 761) | function renderHTML() {
FILE: V4(latest)/request-handler.js
function handleRequest (line 7) | async function handleRequest(request, env, ctx, logPrefix) {
FILE: V4(latest)/utils.js
function corsHeaders (line 4) | function corsHeaders() {
FILE: V4(latest)/worker.js
method fetch (line 7) | async fetch(request, env, ctx) {
Condensed preview — 23 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (281K chars).
[
{
"path": ".github/ISSUE_TEMPLATE/cn.yaml",
"chars": 1621,
"preview": "name: ⚠功能性問題回報\ndescription: 回報一個明確的功能性錯誤，例如按鈕無效或邏輯錯誤\ntitle: \"標題:請簡要描述問題\"\nlabels: [enhancement, question, documentation, "
},
{
"path": ".github/ISSUE_TEMPLATE/config.yml",
"chars": 600,
"preview": "blank_issues_enabled: false\n\ncontact_links:\n - name: ⛔ [RU]Пожалуйста, не отправляйте нефункциональные проблемы здесь\n "
},
{
"path": ".github/ISSUE_TEMPLATE/en.yaml",
"chars": 2436,
"preview": "name: ⚠Functional Issue Report\ndescription: Report a clear functional error, such as a button not working or a logic bug"
},
{
"path": ".github/ISSUE_TEMPLATE/ru.yaml",
"chars": 1977,
"preview": "name: ⚠Сообщение о функциональной проблеме\ndescription: Сообщите о чёткой функциональной ошибке, например, неработающей "
},
{
"path": "All in one Portable(outdated)/AI-WorkerOldRelease.js",
"chars": 36606,
"preview": "// Helper Function for CORS Headers\nfunction corsHeaders() \n {return {\n \"Access-Control-Allow-Origin\": \"*\", // W"
},
{
"path": "LICENSE",
"chars": 35821,
"preview": " GNU GENERAL PUBLIC LICENSE\r\n Version 3, 29 June 2007\r\n\r\n Copyright (C) 2007 Fr"
},
{
"path": "README.md",
"chars": 13799,
"preview": "<p align=\"center\">\n <a href=\"https://www.cloudflare.com/\"><img src=\"https://cf-assets.www.cloudflare.com/zkvhlag99gkb/m"
},
{
"path": "V3(stable)/api-handler.js",
"chars": 7559,
"preview": "// api-handler.js\n// Handles communication with the Google Generative AI API.\n\nimport { corsHeaders } from './utils.js';"
},
{
"path": "V3(stable)/html-rendererv3.js",
"chars": 31214,
"preview": "// html-renderer.js// Generates the complete HTML page, including CSS and client-side JavaScript.// CSS styles for the p"
},
{
"path": "V3(stable)/request-handler.js",
"chars": 1753,
"preview": "// request-handler.js\n// Handles incoming requests, routing, and basic validation.\nimport { renderHTML } from './html-re"
},
{
"path": "V3(stable)/utils.js",
"chars": 403,
"preview": "// utils.js\n// Utility functions for the worker.\n\nexport function corsHeaders() {\n return {\n \"Access-Control-All"
},
{
"path": "V3(stable)/worker.js",
"chars": 525,
"preview": "// worker.js\n// Main entry point for the Cloudflare Worker.\n\nimport { handleRequest } from './request-handler.js';\n\nexpo"
},
{
"path": "V4 EX(For mobile support Expand)/api-handler.js",
"chars": 5496,
"preview": "import { corsHeaders } from './utils.js';\r\nexport async function handleApiCall(request, env, logPrefix) {\r\n console.log"
},
{
"path": "V4 EX(For mobile support Expand)/html-renderer.js",
"chars": 58815,
"preview": "const getStyles = () => `\r\n<style>\r\n#video-bg {position: fixed;right: 0;bottom: 0;min-width: 100%;min-height: 100%;z-ind"
},
{
"path": "V4 EX(For mobile support Expand)/request-handler.js",
"chars": 2092,
"preview": "// request-handler.js\r\n// Handles incoming requests, routing, and basic validation.\r\nimport { renderHTML } from './html-"
},
{
"path": "V4 EX(For mobile support Expand)/utils.js",
"chars": 275,
"preview": "// utils.js\r\n// Utility functions for the worker.\r\n\r\nexport function corsHeaders() {\r\n return {\r\n \"Access-Control-Al"
},
{
"path": "V4 EX(For mobile support Expand)/worker.js",
"chars": 768,
"preview": "// worker.js\r\n// Main entry point for the Cloudflare Worker.\r\n\r\nimport { handleRequest } from './request-handler.js';\r\n\r"
},
{
"path": "V4(latest)/api-handler.js",
"chars": 5202,
"preview": "// api-handler.js\n// Handles communication with the Google Generative AI API.\n\nimport { corsHeaders } from './utils.js';"
},
{
"path": "V4(latest)/html-renderer.js",
"chars": 42405,
"preview": "// html-renderer.js\n// Generates the complete HTML page, including CSS and client-side JavaScript.\n\n// CSS styles for th"
},
{
"path": "V4(latest)/request-handler.js",
"chars": 2026,
"preview": "// request-handler.js\n// Handles incoming requests, routing, and basic validation.\nimport { renderHTML } from './html-re"
},
{
"path": "V4(latest)/utils.js",
"chars": 266,
"preview": "// utils.js\n// Utility functions for the worker.\n\nexport function corsHeaders() {\n return {\n \"Access-Control-Allow-O"
},
{
"path": "V4(latest)/worker.js",
"chars": 449,
"preview": "// worker.js\n// Main entry point for the Cloudflare Worker.\n\nimport { handleRequest } from './request-handler.js';\n\nexpo"
},
{
"path": "autoRenice.sh",
"chars": 10019,
"preview": "#!/bin/bash\nset -e\nset -o pipefail\n\nPATH=/bin:/sbin:/usr/bin:/usr/sbin:/usr/local/bin:/usr/local/sbin:~/bin\nexport PATH\n"
}
]
About this extraction
This page contains the full source code of the qyjoy/AI-worker GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 23 files (256.0 KB), approximately 68.8k tokens, and a symbol index with 18 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.