• Stefy Lanza (nextime / spora )'s avatar
    runpod: fleet status for an external monitor (v0.2.86) · bed4b018
    Stefy Lanza (nextime / spora ) authored
    Digesta needs to see what the fleet is doing, not only what it costs: how
    many pods are running, where, and which model. The spend endpoint already
    carried the pod rows, but a pod did not report its placement and there was
    no roll-up to read at a glance.
    
    A pod now carries and reports its data_center, cloud_type and gpu_count,
    plus the pool and engine it belongs to. GET /v1/runpod/status (an alias of
    /v1/runpod/spend, one implementation so the two can never disagree) adds a
    `summary`: pods_total/ready/booting/unhealthy, gpus_in_use, inflight,
    spot_pods, hourly_usd, and tallies by model, region, GPU and cloud type.
    
    Same gate as the spend figures — an admin-scoped API key, 403 otherwise.
    
    Three deliberate distinctions, documented: summary.hourly_usd counts only
    pods actually serving (a booting pod bills but answers nothing, so counting
    it would overstate capacity); pods_unhealthy is the alert-worthy number, a
    pod past boot that is costing money and serving nothing; and gpus_in_use
    counts cards, so a gpu_count:2 pod counts twice. An unknown region or GPU is
    labelled "unknown" rather than dropped, so the tallies always sum to
    pods_total.
    Co-Authored-By: 's avatarClaude Opus 5 <noreply@anthropic.com>
    bed4b018
test_runpod_fleet_status.py 3.71 KB