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const express = require('express');
const morgan = require('morgan');
const { createProxyMiddleware } = require('http-proxy-middleware');
const url = require('url');
const app = express();
app.use(morgan('dev'));
// Get proxy configuration from environment variables
const proxyUrl = process.env.PROXY || '';
console.log(`Proxy configuration: ${proxyUrl ? 'Configured' : 'Not configured'}`);
// Parse proxy URL
let proxyConfig = null;
if (proxyUrl) {
try {
const parsedUrl = url.parse(proxyUrl);
proxyConfig = {
host: parsedUrl.hostname,
port: parsedUrl.port || 80,
auth: parsedUrl.auth ? {
username: parsedUrl.auth.split(':')[0],
password: parsedUrl.auth.split(':')[1]
} : undefined
};
// Print proxy configuration (with masked password)
const maskedConfig = {
...proxyConfig,
auth: proxyConfig.auth ? {
username: proxyConfig.auth.username,
password: '******'
} : undefined
};
console.log('Using proxy:', JSON.stringify(maskedConfig));
} catch (error) {
console.error('Failed to parse proxy URL:', error.message);
}
}
// Add models list API
app.get('/hf/v1/models', (req, res) => {
const models = {
"object": "list",
"data": [
{
"id": "claude-3.5-sonnet",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-4",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-4o",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3-opus",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-3.5-turbo",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-4-turbo-2024-04-09",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-4o-128k",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gemini-1.5-flash-500k",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3-haiku-200k",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3-5-sonnet-200k",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3-5-sonnet-20241022",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gpt-4o-mini",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "o1-mini",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "o1-preview",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "o1",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3.5-haiku",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gemini-exp-1206",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gemini-2.0-flash-thinking-exp",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "gemini-2.0-flash-exp",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "deepseek-v3",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "deepseek-r1",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
// New models
{
"id": "claude-3.7-sonnet",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
},
{
"id": "claude-3.7-sonnet-thinking",
"object": "model",
"created": 1706745938,
"owned_by": "cursor"
}
]
};
res.json(models);
});
// Configure proxy middleware
app.use('/hf/v1/chat/completions', createProxyMiddleware({
target: 'http://localhost:3010/v1/chat/completions',
changeOrigin: true,
// Add proxy configuration
proxy: proxyConfig,
// Add error handling
onError: (err, req, res) => {
console.error('Proxy error:', err);
res.status(500).send('Proxy error occurred: ' + err.message);
},
onProxyReq: (proxyReq, req, res) => {
console.log(`Proxying request to chat completions ${proxyConfig ? 'using proxy' : 'directly'}`);
},
onProxyRes: (proxyRes, req, res) => {
console.log(`Received response with status: ${proxyRes.statusCode}`);
}
}));
app.get('/', (req, res) => {
const htmlContent = `
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Cursor To OpenAI</title>
<style>
:root {
--bg-primary: #ffffff;
--bg-secondary: #f9f9f9;
--bg-tertiary: #f0f0f0;
--text-primary: #333333;
--text-secondary: #666666;
--border-color: #e0e0e0;
--accent-color: #5D5CDE;
--accent-light: #7D7CED;
--success-bg: #e1f5e1;
--success-border: #c3e6cb;
--warning-bg: #fff3cd;
--warning-border: #ffeeba;
--code-bg: #f5f5f5;
--shadow-color: rgba(0,0,0,0.1);
}
[data-theme="dark"] {
--bg-primary: #181818;
--bg-secondary: #222222;
--bg-tertiary: #2a2a2a;
--text-primary: #e0e0e0;
--text-secondary: #b0b0b0;
--border-color: #444444;
--accent-color: #7D7CED;
--accent-light: #8D8CF0;
--success-bg: #1e3a1e;
--success-border: #2a5a2a;
--warning-bg: #3a3018;
--warning-border: #5a4820;
--code-bg: #2d2d2d;
--shadow-color: rgba(0,0,0,0.3);
}
* {
box-sizing: border-box;
margin: 0;
padding: 0;
}
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
color: var(--text-primary);
background-color: var(--bg-primary);
max-width: 1200px;
margin: 0 auto;
padding: 20px;
line-height: 1.6;
transition: background-color 0.3s, color 0.3s;
}
h1, h2, h3, h4 {
margin-top: 1.5rem;
margin-bottom: 1rem;
color: var(--text-primary);
}
p {
margin-bottom: 1rem;
}
a {
color: var(--accent-color);
text-decoration: none;
}
a:hover {
color: var(--accent-light);
text-decoration: underline;
}
.container {
background: var(--bg-secondary);
border-radius: 10px;
padding: 30px;
box-shadow: 0 4px 16px var(--shadow-color);
margin-bottom: 30px;
}
.header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 20px;
padding-bottom: 20px;
border-bottom: 1px solid var(--border-color);
}
.theme-toggle {
display: flex;
align-items: center;
}
.theme-toggle-label {
margin-right: 10px;
}
.switch {
position: relative;
display: inline-block;
width: 50px;
height: 24px;
}
.switch input {
opacity: 0;
width: 0;
height: 0;
}
.slider {
position: absolute;
cursor: pointer;
top: 0;
left: 0;
right: 0;
bottom: 0;
background-color: var(--bg-tertiary);
transition: .4s;
border-radius: 24px;
}
.slider:before {
position: absolute;
content: "";
height: 16px;
width: 16px;
left: 4px;
bottom: 4px;
background-color: var(--accent-color);
transition: .4s;
border-radius: 50%;
}
input:checked + .slider {
background-color: var(--accent-light);
}
input:checked + .slider:before {
transform: translateX(26px);
}
.info-item {
margin-bottom: 16px;
padding: 10px;
background: var(--bg-secondary);
border-radius: 6px;
border: 1px solid var(--border-color);
}
.info-item strong {
display: block;
margin-bottom: 5px;
}
.status {
background: ${proxyConfig ? 'var(--success-bg)' : 'var(--warning-bg)'};
padding: 15px;
border-radius: 8px;
margin: 20px 0;
border: 1px solid ${proxyConfig ? 'var(--success-border)' : 'var(--warning-border)'};
}
.models-container {
margin-top: 20px;
border-top: 1px solid var(--border-color);
padding-top: 20px;
}
.model-list {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(180px, 1fr));
gap: 12px;
margin-top: 15px;
}
.model-item {
background: var(--bg-tertiary);
padding: 10px 15px;
border-radius: 6px;
font-size: 0.9em;
transition: all 0.2s;
cursor: pointer;
border: 1px solid var(--border-color);
}
.model-item:hover {
transform: translateY(-2px);
box-shadow: 0 4px 8px var(--shadow-color);
}
.guide-section {
margin-top: 40px;
}
.step {
margin-bottom: 20px;
padding: 15px;
background: var(--bg-secondary);
border-radius: 8px;
border-left: 4px solid var(--accent-color);
}
.step h3 {
margin-top: 0;
}
.code-block {
background: var(--code-bg);
border-radius: 6px;
padding: 15px;
margin: 15px 0;
overflow-x: auto;
font-family: 'SFMono-Regular', Consolas, 'Liberation Mono', Menlo, monospace;
font-size: 14px;
line-height: 1.5;
border: 1px solid var(--border-color);
}
.tab-container {
margin-top: 20px;
}
.tabs {
display: flex;
border-bottom: 1px solid var(--border-color);
}
.tab {
padding: 10px 20px;
cursor: pointer;
background: var(--bg-secondary);
border: 1px solid var(--border-color);
border-bottom: none;
border-radius: 6px 6px 0 0;
margin-right: 5px;
}
.tab.active {
background: var(--accent-color);
color: white;
border-color: var(--accent-color);
}
.tab-content {
display: none;
padding: 20px;
background: var(--bg-secondary);
border: 1px solid var(--border-color);
border-top: none;
border-radius: 0 0 6px 6px;
}
.tab-content.active {
display: block;
}
.api-tester {
margin-top: 30px;
}
.form-group {
margin-bottom: 15px;
}
.form-group label {
display: block;
margin-bottom: 5px;
font-weight: bold;
}
.form-control {
width: 100%;
padding: 10px;
border: 1px solid var(--border-color);
border-radius: 4px;
background: var(--bg-primary);
color: var(--text-primary);
font-size: 16px;
}
textarea.form-control {
min-height: 100px;
font-family: 'SFMono-Regular', Consolas, 'Liberation Mono', Menlo, monospace;
}
.btn {
padding: 10px 20px;
background: var(--accent-color);
color: white;
border: none;
border-radius: 4px;
cursor: pointer;
font-size: 16px;
transition: background 0.2s;
}
.btn:hover {
background: var(--accent-light);
}
.response-container {
margin-top: 20px;
padding: 15px;
background: var(--bg-secondary);
border-radius: 6px;
border: 1px solid var(--border-color);
max-height: 300px;
overflow-y: auto;
}
@media (max-width: 768px) {
.container {
padding: 20px;
}
.model-list {
grid-template-columns: repeat(auto-fill, minmax(150px, 1fr));
}
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>Cursor To OpenAI Server</h1>
<div class="theme-toggle">
<span class="theme-toggle-label">Dark Mode</span>
<label class="switch">
<input type="checkbox" id="theme-toggle">
<span class="slider"></span>
</label>
</div>
</div>
<div class="info-item">
<strong>Chat Source:</strong> Custom (OpenAI Compatible)
</div>
<div class="info-item">
<strong>Custom Endpoint (Base URL):</strong> <span id="endpoint-url"></span>
</div>
<div class="info-item">
<strong>Custom API Key:</strong> [Cursor Cookie in format user_...]
</div>
<div class="status">
<strong>Proxy Status:</strong> ${proxyConfig ? 'Enabled' : 'Disabled'}
${proxyConfig ? `<p>Proxy Server: ${proxyConfig.host}:${proxyConfig.port}</p>` : ''}
</div>
<div class="models-container">
<h3>Supported Models</h3>
<div id="model-list" class="model-list">Loading...</div>
</div>
</div>
<div class="container guide-section">
<h2>Complete Guide to Cursor API Integration</h2>
<div class="tab-container">
<div class="tabs">
<div class="tab active" data-tab="setup">Setup</div>
<div class="tab" data-tab="auth">Authentication</div>
<div class="tab" data-tab="usage">Usage Examples</div>
<div class="tab" data-tab="test">API Tester</div>
</div>
<div class="tab-content active" id="setup">
<h3>Setting Up Cursor API Connection</h3>
<div class="step">
<h3>Step 1: Install the Required Dependencies</h3>
<p>Make sure you have Node.js installed, then install the necessary packages:</p>
<div class="code-block">
npm install axios
</div>
</div>
<div class="step">
<h3>Step 2: Configure Your Environment</h3>
<p>Set up your environment with the Cursor API endpoint:</p>
<div class="code-block">
const CURSOR_API_URL = "http://localhost:7860/hf/v1"; // Or your server URL
</div>
</div>
<div class="step">
<h3>Step 3: Create a Helper Function</h3>
<p>Create a helper function to interact with the API:</p>
<div class="code-block">
const axios = require('axios');
async function queryCursorAPI(model, messages, options = {}) {
try {
const response = await axios.post(`${CURSOR_API_URL}/chat/completions`, {
model: model,
messages: messages,
temperature: options.temperature || 0.7,
max_tokens: options.max_tokens,
stream: options.stream || false
}, {
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${YOUR_API_KEY}` // Your Cursor cookie
}
});
return response.data;
} catch (error) {
console.error('Error querying Cursor API:', error.response?.data || error.message);
throw error;
}
}
</div>
</div>
</div>
<div class="tab-content" id="auth">
<h3>Authentication with Cursor API</h3>
<div class="step">
<h3>Step 1: Obtain Your Cursor Cookie</h3>
<p>To authenticate with the Cursor API, you need to extract your Cursor cookie:</p>
<ol>
<li>Log in to <a href="https://cursor.so" target="_blank">Cursor.so</a></li>
<li>Open Developer Tools (F12 or Right-click → Inspect)</li>
<li>Go to the Application tab</li>
<li>Under Storage, select Cookies</li>
<li>Find the cookie that starts with <code>user_...</code></li>
<li>Copy this value - this is your API key</li>
</ol>
</div>
<div class="step">
<h3>Step 2: Use the Cookie as Your API Key</h3>
<p>Include your Cursor cookie in the Authorization header:</p>
<div class="code-block">
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer user_your_cookie_value_here'
}
</div>
<p class="warning">Important: Treat your Cursor cookie as a secret. Never share it publicly or include it in client-side code.</p>
</div>
<div class="step">
<h3>Step 3: Test Authentication</h3>
<p>Verify your authentication is working:</p>
<div class="code-block">
async function testAuth() {
try {
const response = await queryCursorAPI('claude-3.5-sonnet', [
{ role: 'user', content: 'Hello, can you hear me?' }
]);
console.log('Authentication successful!', response.choices[0].message.content);
} catch (error) {
console.error('Authentication failed:', error);
}
}
testAuth();
</div>
</div>
</div>
<div class="tab-content" id="usage">
<h3>Cursor API Usage Examples</h3>
<div class="step">
<h3>Basic Text Completion</h3>
<div class="code-block">
const messages = [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'What is the capital of France?' }
];
const response = await queryCursorAPI('claude-3.5-sonnet', messages);
console.log(response.choices[0].message.content);
</div>
</div>
<div class="step">
<h3>Streaming Response</h3>
<div class="code-block">
const axios = require('axios');
async function streamResponse(model, messages) {
try {
const response = await axios.post(`${CURSOR_API_URL}/chat/completions`, {
model: model,
messages: messages,
stream: true
}, {
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${YOUR_API_KEY}`
},
responseType: 'stream'
});
response.data.on('data', chunk => {
const lines = chunk.toString().split('\\n').filter(line => line.trim() !== '');
for (const line of lines) {
if (line.includes('[DONE]')) return;
if (line.startsWith('data:')) {
const jsonStr = line.replace('data:', '').trim();
try {
const json = JSON.parse(jsonStr);
if (json.choices?.[0]?.delta?.content) {
process.stdout.write(json.choices[0].delta.content);
}
} catch (e) {
// Skip invalid JSON
}
}
}
});
} catch (error) {
console.error('Streaming error:', error);
}
}
// Usage
streamResponse('gpt-4o', [{ role: 'user', content: 'Write a short story about a robot.' }]);
</div>
</div>
<div class="step">
<h3>Using Different Models</h3>
<p>You can use any model from the supported models list:</p>
<div class="code-block">
// Using Claude 3.7 Sonnet
const claudeResponse = await queryCursorAPI('claude-3.7-sonnet', [
{ role: 'user', content: 'Explain quantum computing briefly.' }
]);
// Using GPT-4o
const gptResponse = await queryCursorAPI('gpt-4o', [
{ role: 'user', content: 'What are the benefits of clean energy?' }
]);
// Using the "thinking" variant for complex reasoning
const thinkingResponse = await queryCursorAPI('claude-3.7-sonnet-thinking', [
{ role: 'user', content: 'Solve this math problem: If a² + b² = 25 and ab = 12, what is a + b?' }
]);
</div>
</div>
<div class="step">
<h3>Setting Custom Parameters</h3>
<div class="code-block">
const response = await queryCursorAPI('gpt-4', [
{ role: 'user', content: 'Generate a creative story idea.' }
], {
temperature: 0.9, // Higher creativity
max_tokens: 500 // Limit response length
});
</div>
</div>
</div>
<div class="tab-content" id="test">
<h3>Cursor API Tester</h3>
<p>Use this tool to test API calls directly from the browser:</p>
<div class="api-tester">
<div class="form-group">
<label for="api-key">API Key (Cursor Cookie)</label>
<input type="password" id="api-key" class="form-control" placeholder="user_...">
</div>
<div class="form-group">
<label for="model-select">Model</label>
<select id="model-select" class="form-control">
<option value="claude-3.7-sonnet">claude-3.7-sonnet</option>
<option value="gpt-4o">gpt-4o</option>
<option value="claude-3.5-sonnet">claude-3.5-sonnet</option>
<option value="gpt-4">gpt-4</option>
</select>
</div>
<div class="form-group">
<label for="prompt-input">Prompt</label>
<textarea id="prompt-input" class="form-control" placeholder="Enter your prompt here...">Hello, can you introduce yourself?</textarea>
</div>
<div class="form-group">
<label for="temperature">Temperature</label>
<input type="range" id="temperature" class="form-control" min="0" max="1" step="0.1" value="0.7">
<span id="temperature-value">0.7</span>
</div>
<button id="submit-api" class="btn">Send Request</button>
<div class="response-container">
<pre id="api-response">Response will appear here...</pre>
</div>
</div>
</div>
</div>
</div>
<script>
// Theme toggling
const themeToggle = document.getElementById('theme-toggle');
// Check for saved theme preference or system preference
if (localStorage.getItem('theme') === 'dark' ||
(!localStorage.getItem('theme') && window.matchMedia('(prefers-color-scheme: dark)').matches)) {
document.documentElement.setAttribute('data-theme', 'dark');
themeToggle.checked = true;
}
// Toggle theme when switch is clicked
themeToggle.addEventListener('change', function() {
if (this.checked) {
document.documentElement.setAttribute('data-theme', 'dark');
localStorage.setItem('theme', 'dark');
} else {
document.documentElement.setAttribute('data-theme', 'light');
localStorage.setItem('theme', 'light');
}
});
// Get and display endpoint URL
const url = new URL(window.location.href);
const link = url.protocol + '//' + url.host + '/hf/v1';
document.getElementById('endpoint-url').textContent = link;
// Load models list
fetch('/hf/v1/models')
.then(response => response.json())
.then(data => {
const modelListEl = document.getElementById('model-list');
modelListEl.innerHTML = '';
// Sort models alphabetically
data.data.sort((a, b) => a.id.localeCompare(b.id));
data.data.forEach(model => {
const modelEl = document.createElement('div');
modelEl.className = 'model-item';
modelEl.textContent = model.id;
modelEl.addEventListener('click', () => {
if (document.getElementById('model-select')) {
document.getElementById('model-select').value = model.id;
}
});
modelListEl.appendChild(modelEl);
// Also add to dropdown if it exists
if (document.getElementById('model-select')) {
const option = document.createElement('option');
option.value = model.id;
option.textContent = model.id;
document.getElementById('model-select').appendChild(option);
}
});
})
.catch(err => {
document.getElementById('model-list').textContent = 'Failed to load models: ' + err.message;
});
// Tab switching
const tabs = document.querySelectorAll('.tab');
tabs.forEach(tab => {
tab.addEventListener('click', () => {
// Remove active class from all tabs
document.querySelectorAll('.tab').forEach(t => t.classList.remove('active'));
document.querySelectorAll('.tab-content').forEach(c => c.classList.remove('active'));
// Add active class to clicked tab
tab.classList.add('active');
document.getElementById(tab.dataset.tab).classList.add('active');
});
});
// Temperature slider
const temperatureSlider = document.getElementById('temperature');
const temperatureValue = document.getElementById('temperature-value');
if (temperatureSlider) {
temperatureSlider.addEventListener('input', () => {
temperatureValue.textContent = temperatureSlider.value;
});
}
// API test functionality
const submitApiBtn = document.getElementById('submit-api');
if (submitApiBtn) {
submitApiBtn.addEventListener('click', async () => {
const apiKey = document.getElementById('api-key').value;
const model = document.getElementById('model-select').value;
const prompt = document.getElementById('prompt-input').value;
const temperature = parseFloat(document.getElementById('temperature').value);
const responseContainer = document.getElementById('api-response');
responseContainer.textContent = 'Loading...';
try {
const response = await fetch(`${link}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${apiKey}`
},
body: JSON.stringify({
model: model,
messages: [{ role: 'user', content: prompt }],
temperature: temperature
})
});
const data = await response.json();
responseContainer.textContent = JSON.stringify(data, null, 2);
} catch (error) {
responseContainer.textContent = 'Error: ' + (error.message || 'Unknown error');
}
});
}
</script>
</body>
</html>
`;
res.send(htmlContent);
});
const port = process.env.HF_PORT || 7860;
app.listen(port, () => {
console.log(`HF Proxy server is running at PORT: ${port}`);
console.log(`Proxy status: ${proxyConfig ? 'Enabled' : 'Disabled'}`);
});