Complete OpenAI-Compatible API Implementation with 4 Automation Scripts

[codegen-sh]

🎉 Complete OpenAI-Compatible API Implementation

This PR implements a complete, production-ready workflow for running Qwen language models through an OpenAI-compatible API server with automated token management.

🎯 What's Included

1. Four Automation Scripts

• setup.sh - Automated JWT token extraction and validation
• start.sh - Start API server with comprehensive checks
• send_request.sh - Test API with formatted responses
• all.sh - Run complete workflow sequentially

2. Core Python Components

• scripts/qwen_token_real.py - Playwright-based token extraction from Qwen UI
• scripts/check_jwt_expiry.py - JWT validation and expiration checking
• scripts/qwen_openai_server.py - FastAPI server with OpenAI-compatible endpoints

3. API Documentation

• qwen.json - Complete JSON Schema definitions
• openapi.json - OpenAPI 3.1 specification
• README.md - Comprehensive documentation with examples

✨ Key Features

• 🤖 Automated Token Management: Uses Playwright to extract JWT tokens from Qwen's web interface
• 🔄 OpenAI-Compatible: Drop-in replacement for OpenAI API clients
• ✅ Schema Validation: Full JSON Schema and OpenAPI 3.1 specifications
• 🎯 Simple Workflow: Single command to run everything (bash all.sh)
• 🔒 Secure: Token stored in .env file, never hardcoded
• ⚡ Fast Setup: Get running in minutes

🚀 Usage

Quick Start:

export QWEN_EMAIL="your@email.com"
export QWEN_PASSWORD="yourpassword"
bash all.sh

Step-by-Step:

# 1. Extract token
bash setup.sh

# 2. Start server
bash start.sh

# 3. Test API
bash send_request.sh

📡 API Endpoints

• Health Check: http://localhost:7050/
• List Models: http://localhost:7050/v1/models
• Chat Completions: http://localhost:7050/v1/chat/completions

🧪 Testing Results

✅ All components tested and validated:

• Token extraction working (7-day JWT validity)
• Server running successfully on port 7050
• Real API responses received from qwen-max-latest model
• All endpoints verified: health, models, chat completions

Example Response:

{
  "id": "chatcmpl-111b07d0-b497-435d-b54e-51637c32592d",
  "model": "qwen-max-latest",
  "choices": [{
    "message": {
      "role": "assistant",
      "content": "Of course! Please provide the code..."
    }
  }]
}

🔧 Technical Details

Dependencies:

• Python 3.8+
• playwright (browser automation)
• FastAPI (web framework)
• httpx (HTTP client)
• jsonschema (validation)

Environment Variables:

• QWEN_EMAIL - Your Qwen account email (required)
• QWEN_PASSWORD - Your Qwen account password (required)
• PORT - Server port (default: 7050)

Token Management:

• JWT tokens valid for ~7 days
• Automatic expiration checking
• Token stored in .env file
• Re-extraction prompt when expired

📚 Documentation

The comprehensive README includes:

• Installation prerequisites
• Quick start guide
• Detailed API reference
• Usage examples (Python, JavaScript, curl)
• Troubleshooting guide
• Production deployment tips
• Security best practices

🎨 User Experience

• Colored CLI output for better readability
• Descriptive error messages with solutions
• Progress indicators for long-running operations
• Interactive mode in all.sh (keep server running option)

🔒 Security Considerations

• Credentials stored in environment variables only
• JWT token stored in .env (gitignored)
• Token expiration validation before use
• HTTPS recommended for production deployment

🌟 Available Models

• qwen-max-latest - Most capable model
• qwen-plus-latest - Balanced performance
• qwen-turbo-latest - Fastest responses

📝 Files Changed

New Scripts:

• setup.sh - Token setup automation
• start.sh - Server startup automation
• send_request.sh - API testing automation
• all.sh - Complete workflow orchestration

New Python Modules:

• scripts/qwen_token_real.py - Token extraction
• scripts/qwen_openai_server.py - API server
• scripts/check_jwt_expiry.py - JWT validation

Updated Documentation:

• README.md - Complete rewrite with comprehensive guide
• qwen.json - Full JSON Schema definitions
• openapi.json - OpenAPI 3.1 specification

✅ Checklist

• All scripts executable and tested
• Dependencies documented
• Error handling implemented
• Token validation working
• API server functional
• Real API responses verified
• Comprehensive documentation
• Usage examples provided
• Troubleshooting guide included
• Security considerations addressed

🚀 Ready for Production

This implementation is production-ready and includes:

• Comprehensive error handling
• Proper logging
• Token lifecycle management
• API schema validation
• Deployment guides (Docker, systemd, nginx)

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Tested and validated end-to-end ✅

Ready to merge! 🎉

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💻 View my work • 👤 Initiated by @Zeeeepa • About Codegen
⛔ Remove Codegen from PR • 🚫 Ban action checks

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Summary by cubic

Complete OpenAI-compatible API for Qwen with automated JWT token management and a simple end-to-end workflow. Run the server, test requests, and validate schemas with one command.

• New Features

  • FastAPI server with OpenAI-compatible endpoints: health, models, chat completions.
  • Automated token extraction via Playwright, saved to .env with expiry checks.
  • Four scripts: setup.sh, start.sh, send_request.sh, all.sh.
  • JSON Schema and OpenAPI 3.1 updates with optional request/response validation.
  • Supports qwen-max-latest, qwen-plus-latest, qwen-turbo-latest.

• Migration

  • Set QWEN_EMAIL and QWEN_PASSWORD, then run setup.sh and start.sh (or all.sh).
  • Requires Python 3.8+, and packages: playwright, httpx, jsonschema.
  • Defaults to port 7050; override with PORT if needed.

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