Use Cursor with a local LLM model

• If a Cursor Pro subscription is not available, you can use a local LLM model with Cursor.
• This setup requires a local LLM model, ollama, and ngrok.

Caveats and Limitations

Please note that this setup has some caveats:

• You can only the chat and the inline chat features (this includes the Debug with AI shortcut). However, keep in mind that your usage will be limited by the resources available on your local machine
• Special cursor-based interactions (like tab completion, composer, etc.) are not available in this setup.
• For tab completion, please see the Continue project, as it might provide a solution for this issue.
• With the free version of ngrok, you will add the new subdomain to the Cursor settings every time you restart ngrok.

LLM Installation

# Configuration
PROXY_PORT=11435
OLLAMA_PORT=11434
MODEL_NAME=llama3.1
NGROK_TOKEN=<ngrok_token>

# Install utilities
sudo apt install curl jq screen nginx

# Install ollama
curl -fsSL https://ollama.com/install.sh | sh    
# disable automatic start
sudo systemctl disable ollama
sudo systemctl stop ollama
# set the port if different from 11434
sudo nano /etc/systemd/system/ollama.service
# and add ENVIRONMENT="OLLAMA_HOST=127.0.0.1:<ollama_port (11434)>"

# Install ngrok
curl -sSL https://ngrok-agent.s3.amazonaws.com/ngrok.asc | gpg --dearmor | sudo tee /usr/share/keyrings/ngrok.gpg >/dev/null
echo "deb [signed-by=/usr/share/keyrings/ngrok.gpg] https://ngrok-agent.s3.amazonaws.com buster main" | sudo tee /etc/apt/sources.list.d/ngrok.list
sudo apt update
sudo apt install ngrok

# Reverse proxy for CORS support
cat <<EOF > /etc/nginx/sites-available/llm_proxy
server {
    listen $PROXY_PORT;
    location / {
        # Handle preflight OPTIONS requests
        if (\$request_method = OPTIONS) {
            add_header Allow "POST, OPTIONS";
            add_header Access-Control-Allow-Origin "*";
            add_header Access-Control-Allow-Headers "authorization, content-type";
            add_header Access-Control-Allow-Methods "POST, OPTIONS";
            add_header Access-Control-Max-Age 86400;
            return 204;
        }

        # Remove or modify the Origin header before forwarding the request
        proxy_set_header Origin "";

        # Forward other requests to backend server
        proxy_pass http://localhost:$OLLAMA_PORT;

        # Include additional headers for CORS support in normal requests
        add_header Access-Control-Allow-Origin "*";
        add_header Access-Control-Allow-Headers "authorization, content-type";
        add_header Access-Control-Allow-Methods "POST, OPTIONS";
    }
}
EOF
sudo ln -s /etc/nginx/sites-available/llm_proxy /etc/nginx/sites-enabled/llm_proxy

sudo nginx -t
sudo systemctl restart nginx

# add token to ngrok
ngrok config add-authtoken $NGROK_TOKEN

# download the model
ollama pull $MODEL_NAME

Start the setup

# Start a model
sudo systemctl start ollama

# Start ngrok (in a detached screen)
screen -S ngroky -d -m ngrok http $PROXY_PORT --host-header="localhost:$OLLAMA_PORT"

# test the llm and get the public URL
bash test_llm.sh

# add the public URL to Cursor -> see Cursor Configuration

Cursor Configuration

1. Cursor Settings > Models > Model Names > Add $MODEL_NAME as model to Cursor
2. Cursor Settings > OpenAI API Key > Enable
3. Cursor Settings > OpenAI API Key > Override OpenAI Base URL > Add $PUBLIC_URL > Save
4. Cursor Settings > OpenAI API Key > Add arbitrary string as OpenAI API key > Verify
5. Use $MODEL_NAME as Chat Model

Stop the setup

# to stop ngrok
screen -S ngroky -X quit

# to stop ollama
sudo systemctl stop ollama

TODO

• reimplement the security features of the CORS proxy
• write start and stop as service or cli tool