qwen-cline

Integrate qwen-api with the Cline Extension.

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🚀 Installation

1. Clone the repository

   git clone https://github.com/arosyihuddin/qwen-cline.git
   cd qwen-cline
   

2. Choose an installation method

   • Poetry

     poetry install
     poetry shell

   • venv

     python3.12 -m venv .venv
     # macOS/Linux
     source .venv/bin/activate
     # Windows PowerShell
     .\.venv\Scripts\activate
     
     pip install --upgrade pip
     pip install -r requirements.txt

Using Docker

1. Pull image dari Docker Hub:

   docker pull rosyihuddin/qwen-cline:latest

2. Buat file .env dari template:

   cp .env.example .env

   Edit file .env untuk mengisi nilai QWEN_AUTH_TOKEN dan QWEN_COOKIE

3. Jalankan container dengan env-file:

   docker run -d -p 8000:8000 --env-file .env rosyihuddin/qwen-cline:latest

4. Akses aplikasi di http://localhost:8000

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⚙️ Configuration

Create a .env file at the project root:

QWEN_AUTH_TOKEN=<your_auth_token>
QWEN_COOKIE=<your_cookie>

# Config
THINKING=true
# Default THINKING_BUDGET Max 38912
THINKING_BUDGET=3000
WEB_SEARCH=false
WEB_DEVELOPMENT=false

Note: Follow the authentication guide in the qwen-api repository to obtain your token and cookie.

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▶️ Running the Server

The server will run at http://localhost:8000 and expose these endpoints:

• GET /v1/models
• POST /v1/chat/completions (streaming via SSE)

# With Poetry
poetry run uvicorn src.server:app --host 0.0.0.0 --port 8000

# With venv
uvicorn src.server:app --host 0.0.0.0 --port 8000

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🧪 Verification

1. List available models

   curl http://localhost:8000/v1/models

2. Test streaming chat

   curl -N -X POST http://localhost:8000/v1/chat/completions \
     -H "Content-Type: application/json" \
     -d '{
       "model": "qwen3-235b-a22b",
       "messages": [{"role":"user","content":"Hello, Qwen!"}],
       "stream": true
     }'

---

🔗 Integration with Cline (LM Studio Agent)

1. Open the Cline sidebar in VS Code and select LM Studio as the provider.

2. Use Custom Base URL.

3. Enter:

   http://localhost:8000
   

4. Cline will automatically call GET /v1/models and detect the model qwen3-235b-a22b.

5. Choose the model, save

Now, Cline will use your qwen-cline server as its AI backend, streaming tokens in real time within your IDE! 🎉