intelligence-router/deploy

LLM Sidecar — Deployment Guide

Quick Install

On the Main PC:

# 1. Copy the service file
sudo cp deploy/llm-sidecar.service /etc/systemd/system/

# 2. Copy the manifest (adjust paths as needed)
mkdir -p /home/bigt/AI/llm
cp deploy/manifest.yaml /home/bigt/AI/llm/manifest.yaml

# 3. Create a .env for the sidecar (optional)
cat > /home/bigt/AI/llm/.env << 'EOF'
# Sidecar configuration
MANIFEST_PATH=/home/bigt/AI/llm/manifest.yaml
SIDECAR_PORT=8081
EOF

# 4. Enable and start the service
sudo systemctl daemon-reload
sudo systemctl enable --now llm-sidecar

# 5. Verify it's running
sudo systemctl status llm-sidecar

Verify

# Check sidecar is responding
curl http://10.0.4.11:8081/models/available

# Check model status
curl http://10.0.4.11:8081/models/status

# Test the router
curl http://10.0.4.100:9001/v1/models

Configuration

Environment Variables

Variable	Default	Description
MANIFEST_PATH	/home/bigt/AI/llm/manifest.yaml	Path to the YAML manifest file
SIDECAR_PORT	8081	Port the sidecar listens on

Manifest Format

- id: model-id
  name: "Display Name"
  model_path: "/path/to/model.gguf"
  flags:          # Arbitrary llama-server flags
    n_ctx: 8192
    n_gpu_layers: 35

• id: Unique identifier used in model field of chat completions
• name: Human-readable display name
• model_path: Absolute path to the GGUF file
• flags: Any llama-server CLI flags (n_ctx, n_gpu_layers, etc.)

Managing the Service

# Start/Stop/Restart
sudo systemctl start llm-sidecar
sudo systemctl stop llm-sidecar
sudo systemctl restart llm-sidecar

# View logs
sudo journalctl -u llm-sidecar -f

# Check status
sudo systemctl status llm-sidecar

# Disable auto-start
sudo systemctl disable llm-sidecar

Troubleshooting

• Sidecar not starting: Check sudo journalctl -u llm-sidecar -n 50
• Manifest errors: Check that YAML is valid (python3 -c "import yaml; yaml.safe_load(open('manifest.yaml'))")
• llama-server crashes: Sidecar auto-restarts it up to 3 times before the circuit breaker opens
• Port conflict: Change SIDECAR_PORT in the service environment