[Unit]
Description=llama-server (aux/classification) — Phi-4-14B Q4_K_M (OpenAI-compatible inference)
After=network.target nvidia-persistenced.service
Wants=nvidia-persistenced.service

[Service]
Type=simple
User={{ llm_service_user }}
Group={{ llm_service_user }}
Environment="HOME=/home/{{ llm_service_user }}"
ExecStart={{ llm_binary_path }} \
    --model {{ llm_aux_model_path }} \
    --host {{ llm_bind_address }} \
    --port {{ llm_aux_port }} \
    --ctx-size {{ llm_aux_ctx_size }} \
    --n-gpu-layers {{ llm_aux_gpu_layers }} \
    --parallel {{ llm_aux_parallel }} \
    --metrics
# NOTE: no --chat-template flag — let llama-server auto-detect Phi-4's own
# embedded chat template from GGUF metadata (same reasoning as the existing
# llm-inference role's Gemma unit: explicit overrides risk mismatching the
# model's actual expected format).
# NOTE: --host is the private LAN IP (10.1.71.130 by default), NOT 0.0.0.0 —
# deliberate change from the pre-existing Gemma pattern (plan §5).
Restart=on-failure
RestartSec=10
TimeoutStartSec=600
StandardOutput=journal
StandardError=journal
SyslogIdentifier=llama-server-aux

[Install]
WantedBy=multi-user.target