{
  "checker": {
    "details": {
      "argv": [
        "/tmp/flashenv/bin/flash-cli",
        "gpus"
      ],
      "kind": "cli",
      "needs_browser": false,
      "needs_credentials": false,
      "returncode": 0,
      "scope": "product operation",
      "stderr": "",
      "stdout": "gpu               vram       $/hr\nRTX 4090           24G       0.69\nRTX 5090           32G       0.99\nA100 PCIe          80G       1.39\nA100 SXM           80G       1.49\nRTX Pro 6000       96G       2.09\nH100               80G       3.29\nH200              141G       4.39\nB200              180G       5.89\n\nTip: GPU allocation is automatic by default.\nThe allocator picks the cheapest validated class that fits. Pin a specific class by adding type = \"<CLASS>\" to the [gpu] section.",
      "working": true
    },
    "status": "PASS"
  },
  "deviations": [
    "README quickstart uses bare `pip install freesolo-flash`; guest had no pip, so installed python3-venv and python3-pip via apt and used a venv at /tmp/flashenv.",
    "README uses `flash`; the `flash` console script can be shadowed by runpod-flash, so the probe uses flash-cli from the venv (README recommends flash-cli)."
  ],
  "main_blocker": null,
  "operation": "flash-cli gpus: list managed GPU classes with estimated $/hr from the installed freesolo-flash package (README 'Using the hosted service' CLI reference; command documented in the CLI help and README 'flash gpus').",
  "operation_scope": "Runs offline without credentials. Hosted operations (flash login, projects, env push, train submit, models deploy/chat) need FREESOLO_API_KEY and were not exercised. Local env test/eval need the freesolo SDK, not installed.",
  "outcome": "working",
  "steps": [
    "python3 -m venv /tmp/flashenv (python3-venv installed via apt)",
    "/tmp/flashenv/bin/pip install freesolo-flash",
    "/tmp/flashenv/bin/flash-cli --help",
    "/tmp/flashenv/bin/flash-cli models",
    "/tmp/flashenv/bin/flash-cli gpus"
  ],
  "stuck_step": null,
  "suggested_fix": null
}