SuperAPI AI Directory

olares-dashboard

Deployment & operations

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Updated 10-15 17:24

About this skill

dashboard (overview + applications, AI-agent first)

Shared front door: load ../olares-shared/SKILL.md for suite routing, active-profile selection, platform entry points, and the auth proceed/stop gate. Load its auth reference only when login, profile switching, token storage, or auth recovery is actually needed.

Use olares-cli dashboard <verb> --help for syntax.

When to use

  • Read CPU, memory, disk, network, pod, fan, or GPU metrics.
  • Rank applications/workloads by resource use.
  • Observe dashboard metrics over time or consume their stable JSON envelopes.

Mental model: dashboard answers "what's the resource usage and health". For inventory and lifecycle, route elsewhere. When the metrics reveal a problem (resource pressure, an app that's running but slow/unreachable), hand off to ../olares-doctor/SKILL.md for root-cause diagnosis.

Fast paths

Task Read First command
See the machine's current load this file olares-cli dashboard overview -o json
Find which app is using the resources this file olares-cli dashboard applications -o json
Read one metric and know what it means overview section meanings olares-cli dashboard overview memory -o json
Decide whether an empty answer is a failure envelope and empty states olares-cli dashboard overview gpu -o json, then read meta.empty_reason

Watching over time is not a fast path — watch, windows, NDJSON is a read of its own, and observing a metric is never the first thing to do with it.

Verb index

Verb Purpose Read when triggered
applications (apps) Workload-grain resource table Rows are workloads, not apps, so one app can occupy several; joins overview ranking on (app, namespace)
overview Physical, user, and ranking sections overview section meanings; envelope and empty states
`overview cpu memory disk
schema Served JSON schemas The one place the CLI describes an output shape without being run; read it instead of sampling a live response
any metric with watch/window intent Repeated snapshots / historical window watch, windows, NDJSON

Envelope and capability semantics

  • Pin automation to kind, raw, and meta.empty_reason, not table labels.
  • No hardware, no integration, or a capability gate is usually an exit 0 empty envelope, not a command failure.
  • Aggregate verbs (overview, overview disk|fan|gpu) exit non-zero only when every section carries meta.error; a partly degraded envelope is still exit 0 real data. The envelope reaches stdout either way, so read the per-section error rather than treating the exit code as the whole story.
  • A whole-instance outage surfaces as HTTP 530 on every section — the Olares is unreachable, so confirm it is online before diagnosing dashboard itself.
  • Fan is meaningful only on Olares One. Stop probing after the device gate says it is unavailable.
  • A hidden GPU sidebar for a non-admin profile is advisory if data is still returned. vgpu_unavailable is transient evidence, not proof that the device has no GPU.

Watch and diagnosis

  • Watch emits repeated snapshots; JSON mode is NDJSON. Ctrl-C ends observation, not any workload.
  • A watch aborts after repeated iteration failures. Separate transient metric collection failure from actual resource pressure.
  • Choose either a relative or absolute time window based on the user's question; do not combine them.
  • Dashboard locates pressure; it does not explain pod scheduling, crashes, image pulls, or entrance failures. Route those to olares-doctor.

Safety and escalation

  • Dashboard is read-only, but cross-user metrics require platform-admin authority. Do not switch profiles or broaden the target user without approval.
  • Do not report an empty integration envelope as "healthy" or "zero usage"; preserve its empty reason.
  • Stop and escalate persistent upstream metric errors after a bounded retry, including the affected section and time window.