Getting Started with QWED
Learn how to set up and run QWED in your development environment. :::danger Common Mistake Don’t call your LLM directly! QWED needs to run as a backend server with YOUR LLM API keys configured in environment variables. See Common Pitfalls for details. :::Architecture Overview
QWED uses a backend server model:Step 1: Clone & Install
Step 2: Configure LLM Provider
QWED is model agnostic - choose any LLM based on your needs:Create Environment File
Choose Your LLM Provider
Edit.env and add your API key for ONE provider:
- OpenAI
- Anthropic Claude
- Azure OpenAI
- Google Gemini
Step 3: Run QWED Backend Server
Step 4: Install SDK
In a new terminal, install the QWED SDK in your project:- Python
- TypeScript
- Go
Step 5: Use the SDK
Connect your application to the local QWED backend:- Python
- TypeScript
- Go
Verify Installation
Run this test to ensure everything is working:- Python
- TypeScript
Next Steps
Once your integration is working:- 📖 Common Pitfalls - Avoid integration mistakes
- 🧪 Testing Your Integration - Validate your setup
- 🚀 Production Deployment - Deploy with confidence
Troubleshooting
Backend won’t start
Problem:.env file has the correct API key for your chosen provider.
SDK can’t connect
Problem:- Make sure backend is running (
python -m qwed_api) - Check backend terminal for errors
- Verify port 8000 is not blocked
Wrong results
Problem: Verification results are incorrect or unexpected. Solution:- Check which LLM provider you configured
- Verify your API key is valid
- See Testing Guide for detailed diagnostics
Need Help?
- 💬 Community Support
- 📧 Email: support@qwedai.com
- 📖 Full Documentation