feat: integrate with public qwen.aikit.club instance (83% code reduction)

GIST_INSTRUCTIONS.md

@@ -0,0 +1,74 @@
+# 📦 How to Create GitHub Gist for One-Line Deployment
+
+## Step 1: Go to GitHub Gist
+
+Visit: https://gist.github.com/
+
+## Step 2: Create New Gist
+
+Click "+" in top right → "New gist"
+
+## Step 3: Add Files
+
+### File 1: README.md
+- Filename: `README.md`
+- Content: Copy from `GIST_README.md`
+
+### File 2: deploy_qwen_api.sh
+- Filename: `deploy_qwen_api.sh`
+- Content: Copy from `deploy_qwen_api.sh`
+
+## Step 4: Configure Gist
+
+- Description: "🚀 Qwen API - One-Line Deployment Script | Complete OpenAI-compatible API deployment"
+- Visibility: **Public**
+
+## Step 5: Create Gist
+
+Click "Create public gist"
+
+## Step 6: Get Raw URL
+
+After creation, click "Raw" button on `deploy_qwen_api.sh` to get URL like:
+```
+https://gist.githubusercontent.com/YOUR_USERNAME/GIST_ID/raw/deploy_qwen_api.sh
+```
+
+## Step 7: Test Deployment
+
+```bash
+export QWEN_EMAIL="your@email.com"
+export QWEN_PASSWORD="yourpassword"
+curl -sSL YOUR_RAW_URL | bash
+```
+
+## Step 8: Update Repository
+
+Update main README.md with:
+
+```markdown
+## 🚀 Quick Deployment
+
+```bash
+# Export credentials
+export QWEN_EMAIL="your@email.com"
+export QWEN_PASSWORD="yourpassword"
+
+# Deploy with one command
+curl -sSL https://gist.githubusercontent.com/YOUR_USERNAME/GIST_ID/raw/deploy_qwen_api.sh | bash
+```
+```
+
+## ✅ Done!
+
+Your one-line deployment is now live and shareable!
+
+## 📝 Share Command
+
+Share this with users:
+
+```bash
+# One-line deployment for Qwen API
+export QWEN_EMAIL="your@email.com" QWEN_PASSWORD="yourpassword"
+curl -sSL https://gist.githubusercontent.com/YOUR_USERNAME/GIST_ID/raw/deploy_qwen_api.sh | bash
+```

GIST_README.md

@@ -0,0 +1,244 @@
+# 🚀 Qwen API - One-Line Deployment Script
+
+**Complete deployment of OpenAI-compatible Qwen API server in a single command!**
+
+This script automatically handles:
+- ✅ Environment setup
+- ✅ Dependency installation
+- ✅ Bearer token extraction (via Playwright)
+- ✅ Server startup
+- ✅ Health verification
+- ✅ Test execution
+
+## 📋 Prerequisites
+
+- **Python 3.8+** (Python 3.10+ recommended)
+- **Git** (for cloning the repository)
+- **Qwen Account** (Get one at https://chat.qwen.ai)
+
+## 🎯 One-Line Deployment
+
+### Step 1: Export Credentials
+
+```bash
+export QWEN_EMAIL="your@email.com"
+export QWEN_PASSWORD="yourpassword"
+```
+
+### Step 2: Deploy with cURL
+
+```bash
+curl -sSL https://raw.githubusercontent.com/Zeeeepa/qwen-api/main/deploy_qwen_api.sh | bash
+```
+
+Or with wget:
+
+```bash
+wget -qO- https://raw.githubusercontent.com/Zeeeepa/qwen-api/main/deploy_qwen_api.sh | bash
+```
+
+That's it! The script will:
+1. 🔍 Validate prerequisites
+2. 📦 Clone repository
+3. 🐍 Setup Python environment
+4. 📚 Install dependencies
+5. 🎭 Install Playwright browsers
+6. 🔐 Extract Bearer token
+7. 🚀 Start API server
+8. ✅ Verify deployment
+
+## 🌐 Using the API
+
+### Python (OpenAI SDK)
+
+```python
+from openai import OpenAI
+
+client = OpenAI(
+    api_key="sk-any",  # ✅ Any key works!
+    base_url="http://localhost:8096/v1"
+)
+
+response = client.chat.completions.create(
+    model="gpt-4",  # ✅ Any model works!
+    messages=[{"role": "user", "content": "Hello!"}]
+)
+
+print(response.choices[0].message.content)
+```
+
+### cURL
+
+```bash
+curl -X POST http://localhost:8096/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sk-any" \
+  -d '{
+    "model": "gpt-4",
+    "messages": [{"role": "user", "content": "Hello!"}]
+  }'
+```
+
+### JavaScript/TypeScript
+
+```javascript
+import OpenAI from 'openai';
+
+const client = new OpenAI({
+    apiKey: 'sk-any',
+    baseURL: 'http://localhost:8096/v1'
+});
+
+const response = await client.chat.completions.create({
+    model: 'gpt-4',
+    messages: [{ role: 'user', content: 'Hello!' }]
+});
+
+console.log(response.choices[0].message.content);
+```
+
+## 📊 Available Endpoints
+
+| Endpoint | Method | Description |
+|----------|--------|-------------|
+| `/` | GET | Root endpoint, service info |
+| `/health` | GET | Health check |
+| `/v1/models` | GET | List available models |
+| `/v1/chat/completions` | POST | Chat completions (streaming & non-streaming) |
+| `/docs` | GET | Interactive API documentation (Swagger UI) |
+
+## 🎯 Model Mapping
+
+**Any model name works!** The server intelligently maps model names:
+
+| Your Request | Actual Model Used |
+|--------------|-------------------|
+| `gpt-4` | `qwen-turbo-latest` |
+| `gpt-5` | `qwen-turbo-latest` |
+| `claude-3` | `qwen-turbo-latest` |
+| `qwen-turbo` | `qwen-turbo-latest` |
+| `any-model-name` | `qwen-turbo-latest` |
+
+## 🛠️ Configuration
+
+Set these environment variables before deployment:
+
+```bash
+# Required
+export QWEN_EMAIL="your@email.com"
+export QWEN_PASSWORD="yourpassword"
+
+# Optional
+export QWEN_API_PORT=8096              # Default: 8096
+export QWEN_BEARER_TOKEN="..."         # Skip Playwright extraction
+```
+
+## 📝 Useful Commands
+
+```bash
+# View logs
+tail -f qwen-api/logs/server.log
+
+# Stop server
+kill $(cat qwen-api/server.pid)
+
+# Check server status
+curl http://localhost:8096/health
+
+# Restart server
+cd qwen-api && bash scripts/start.sh
+```
+
+## ✨ Features
+
+- **🔐 Automatic Playwright Authentication** - No manual token extraction needed
+- **🎯 Any API Key Works** - Anonymous mode enabled by default
+- **📦 Any Model Name Works** - Smart defaulting to `qwen-turbo-latest`
+- **🌊 Streaming Support** - Full SSE streaming for chat completions
+- **📚 OpenAI Compatible** - Drop-in replacement for OpenAI API
+- **💾 Token Caching** - 12-hour session caching for performance
+
+## 🐛 Troubleshooting
+
+### Server won't start
+
+```bash
+# Check if port is in use
+lsof -i :8096
+
+# Kill process using port
+kill $(lsof -t -i:8096)
+
+# Try again
+curl -sSL https://raw.githubusercontent.com/Zeeeepa/qwen-api/main/deploy_qwen_api.sh | bash
+```
+
+### Authentication fails
+
+```bash
+# Verify credentials
+echo $QWEN_EMAIL
+echo $QWEN_PASSWORD
+
+# Try manual token extraction
+cd qwen-api
+source venv/bin/activate
+python3 test_auth.py
+```
+
+### Python version issues
+
+```bash
+# Check Python version (need 3.8+)
+python3 --version
+
+# Install Python 3.10+ if needed
+# Ubuntu/Debian:
+sudo apt update && sudo apt install python3.10
+
+# macOS:
+brew install python@3.10
+```
+
+## 📖 Documentation
+
+- **Full Documentation**: https://github.com/Zeeeepa/qwen-api
+- **Issues**: https://github.com/Zeeeepa/qwen-api/issues
+- **Pull Requests**: https://github.com/Zeeeepa/qwen-api/pulls
+
+## 🎉 Success Output
+
+After successful deployment, you should see:
+
+```
+╔════════════════════════════════════════════════════════════╗
+║                                                            ║
+║              🎉 Deployment Complete! 🎉                   ║
+║                                                            ║
+╚════════════════════════════════════════════════════════════╝
+
+📡 Server Information:
+  ✅ Status: Running
+  🌐 URL: http://localhost:8096
+  📊 Health: http://localhost:8096/health
+  📚 Docs: http://localhost:8096/docs
+  🎯 Models: http://localhost:8096/v1/models
+  🔢 PID: 12345
+
+✅ All systems operational! Your Qwen API is ready to use.
+```
+
+## 📄 License
+
+MIT License - See repository for details
+
+## 👤 Author
+
+**Zeeeepa**
+- GitHub: [@Zeeeepa](https://github.com/Zeeeepa)
+- Repository: [qwen-api](https://github.com/Zeeeepa/qwen-api)
+
+---
+
+**Made with ❤️ for the AI community**
+

INSTALL.md

@@ -50,7 +50,7 @@ Best for development and testing:
 pip install -e .
 
 # Run the server
-python main.py
+python start.py
 
 # Or use the installed command
 z-ai2api
@@ -78,7 +78,7 @@ For custom installations:
 pip install -r requirements.txt
 
 # Run directly
-python main.py
+python start.py
 ```
 
 ---
@@ -143,19 +143,19 @@ AUTH_TOKENS_FILE=tokens.txt
 
 ```bash
 # Start with default settings (port 8080)
-python main.py
+python start.py
 
 # Specify custom port
-python main.py --port 8081
+python start.py --port 8081
 
 # Enable debug mode
-python main.py --debug
+python start.py --debug
 
 # Specify host
-python main.py --host 0.0.0.0 --port 8081
+python start.py --host 0.0.0.0 --port 8081
 
 # Show all options
-python main.py --help
+python start.py --help
 ```
 
 ### Using the Installed Command
@@ -298,7 +298,7 @@ FLAREPROX_AUTO_ROTATE=true
 
 ```bash
 # Start server
-python main.py --flareprox
+python start.py --flareprox
 
 # Check status
 curl http://localhost:8080/stats
@@ -323,7 +323,7 @@ curl http://localhost:8080/stats
 # Error: Port 8080 already in use
 
 # Solution: Use different port
-python main.py --port 8081
+python start.py --port 8081
 ```
 
 #### 2. Module Not Found
@@ -363,11 +363,11 @@ Enable detailed logging:
 
 ```bash
 # CLI
-python main.py --debug
+python start.py --debug
 
 # Environment variable
 export DEBUG_LOGGING=true
-python main.py
+python start.py
 
 # Check debug info
 curl http://localhost:8080/debug