{
  "skills": [
    "vss-deploy-profile"
  ],
  "resources": {
    "platforms": {
      "RTXPRO6000BW": {
        "gpu_count": 2
      }
    }
  },
  "env": "Multi-GPU host matching `{{platform}}` with Docker + NVIDIA container toolkit + `NGC_CLI_API_KEY`. Remote LLM/VLM endpoint env vars (`LLM_REMOTE_URL`/`LLM_REMOTE_MODEL`, `VLM_REMOTE_URL`/`VLM_REMOTE_MODEL`) may also be set. The **alerts-real-time (VLM)** mode (`vss-deploy-profile -m real-time`) runs `rtvi-vlm` locally — a continuous VLM inference loop that processes live video and emits alerts directly, with no upstream CV filtering. The adapter selects this variant for `alerts_vlm` evaluations. See `skills/vss-deploy-profile/references/alerts.md` § *Two Modes*.",
  "expects": [
    {
      "query": "Deploy the VSS **alerts** profile on {{platform}} for continuous VLM-driven alert generation. Run end-to-end and autonomously.",
      "checks": [
        "`curl -sf --max-time 15 http://localhost:8000/docs` returns exit 0 (Agent REST API responsive)",
        "`docker ps --format '{{.Names}}' | grep -qx vss-agent` returns exit 0 (Agent backend)",
        "`docker ps --format '{{.Names}}' | grep -qx redis` returns exit 0 (shared message bus)",
        "`docker ps --format '{{.Names}}' | grep -qx vss-rtvi-vlm` returns exit 0 (continuous VLM processor — the 'VLM' in this mode)",
        "`docker ps --format '{{.Names}}' | grep -qx vss-vios-nvstreamer` returns exit 0 (video ingestion source)",
        "`! docker ps --format '{{.Names}}' | grep -qx vss-rtvi-cv` returns exit 0 (real-time mode does NOT run the CV perception pipeline)"
      ]
    }
  ]
}