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PointSav Documentation

The engineering library for the PointSav platform — operating systems and services for regulated businesses that own their data, their AI, and their record-keeping outright. Where the monorepo holds the code, this wiki holds the reasoning: architecture, services, security, and the governance commitments that bind future development.

app-console-slm — inference infrastructure monitoring console

app-console-slm is a terminal user interface (TUI) cartridge for the operator console that displays the live state of the AI inference infrastructure: local model health, the burst-GPU fleet, the entity graph, queue depth, and the current day's spending. It is a read-only dashboard. Every write operation it displays — routing policy, the kill switch — happens through a separate API surface, not through this console.

The console runs in a terminal window on the same node as the inference gateway. It requires no browser, no network connection to an external service, and no authentication beyond local shell access.

Display panels

The console organizes information into five panels that refresh automatically every ten seconds. The operator can trigger an immediate refresh at any time with the R key.

Gateway panel

Shows whether the router is running, the local model's reachability and tokens-per-second throughput, the burst tier's circuit-breaker state, and the node class currently serving requests.

YoYo Fleet panel

Lists each configured burst-compute node by name alongside its lifecycle state: one of unknown, stopped, staging, running, available, failed to start, or zombie (running but no longer answering health probes). The panel highlights only available nodes as healthy; stopped, failed, and zombie nodes share a muted style.

DataGraph panel

Shows the total entity count in the knowledge graph and the burst tier's circuit-breaker state (the same circuit shown in the Gateway panel, since both reflect the same tier).

Queue panel

Shows extraction-queue depth: pending, in flight, paused, and completed counts, plus how many jobs sit in quarantine. A poison count — jobs that failed enough retry attempts to need operator review — is highlighted whenever it is non-zero.

Cost Today panel

Shows the current day's total spend, broken into the burst-compute portion and the VM-hours portion, alongside the day's request count.

Keyboard controls

Key Action
R Immediate refresh — re-queries all status endpoints
? Help overlay — show all keybindings
Esc Close the help overlay
Q Quit

Routing-policy changes and the kill switch are real, operator-controlled mechanisms. The kill switch is a hard stop no request can bypass; the routing policy (balanced, drain-batch, drain-express, or local-only) is switchable at runtime. Both live behind the gateway's own API, not this console — it only displays their effects.

Technical characteristics

The console is a library crate that implements the Cartridge trait for the operator console chassis. It loads at slot F9. Communication with the inference gateway uses standard HTTP against the gateway's monitoring endpoints.

The console uses a background polling task that fetches status data every ten seconds and sends it to the rendering task via a channel. The rendering task does not block on network requests; it displays whatever data arrived most recently, so the console stays responsive even when the gateway is slow to respond.

Plain-text mode is available via the --plain flag for terminal environments without unicode support. Unicode status symbols are replaced with ASCII equivalents.

Relationship to the inference gateway

The console is a pure observer: it makes no write calls to the inference gateway at all. It is deployed alongside the gateway on the same node and requires no network connectivity to external services. If the gateway is unreachable, the console keeps running and shows each panel as unavailable rather than crashing.

See also

Cite this record: /wiki/app-console-slm — revision 859f2029, last updated 5 September 2026.

Important Information

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