Using Cline with VS Code and Our Lab's AI Server
1. Install Cline Extension
- Open VS Code
- Go to Extensions (Ctrl+Shift+X)
- Search for "Cline"
- Install the extension by Saoud Rizwan
- Restart VS Code if prompted
2. Configure Cline
- Click the Cline icon in the left sidebar to open the Cline panel
- Click the gear icon (⚙️) at the top of the panel
- Set the following:
- API Provider: Select "OpenAI Compatible"
- Base URL:
https://chat.catholic-u.ai/api/v1
- API Key:
YOUR_API_KEY
- Model ID:
RedHatAI/Qwen3-Coder-Next-NVFP4
To use the other model, change the Model ID to:
- Sehyo/Qwen3.5-35B-A3B-NVFP4
3. Using Cline
Chat / Ask Questions
- Open the Cline sidebar
- Type your question or request in the input box
- Cline will respond and can read your project files for context
Agentic Coding
Cline can autonomously:
- Read and edit files in your project
- Run terminal commands (with your approval)
- Create new files
- Debug errors by reading output and fixing code
Simply describe what you want, e.g.:
- "Add input validation to the login form"
- "Fix the bug in main.py line 42"
- "Write unit tests for the API endpoints"
Cline will ask for your approval before making changes.
Add Context
- @file: Type
@ and select a file to include as context
- @folder: Reference an entire folder
- @url: Paste a URL for Cline to read
- @problems: Include VS Code's Problems panel output
4. Available Models
| Model ID |
Description |
RedHatAI/Qwen3-Coder-Next-NVFP4 |
Qwen3 Coder Next - optimized for coding tasks |
Sehyo/Qwen3.5-35B-A3B-NVFP4 |
Qwen3.5 35B - general purpose |
Switch models by clicking the gear icon and changing the Model ID field.
5. Important Notes
- Function calling: Cline's agentic features (file editing, terminal commands) require the model to support tool use / function calling. If these features don't work, use Cline in chat-only mode.
- Approval required: Cline will always ask for your approval before editing files or running commands. You can adjust this in settings.
- Token usage: Cline displays token usage per message in the chat panel.
6. Troubleshooting
- "Could not connect" error: Make sure you are connected to the university network or VPN.
- No response: Verify the Base URL, API Key, and Model ID are correct in settings.
- Agentic features not working: The model may not support function calling. Cline will still work for chat and code suggestions.
- Slow responses: The server is shared — response times may vary depending on load.