feat: correx-managed model lifecycle slice 4 — resource telemetry

Vendor-agnostic ResourceProbe (commons): NvidiaResourceProbe reads nvidia-smi
(injectable runner) for whole-device VRAM/util and /proc/<pid>/status for the
managed llama-server RSS, both fail-soft to null; UnavailableProbe for non-GPU
hosts / the static path. DefaultModelManager.currentPid() + LlamaProcess.pid
expose the managed pid. ServerMessage.ResourceStatus (resource.status,
NonEventMessage, all-nullable) pushed every 2.5s on the global stream plus one
in the initial snapshot. Live gauge only — never event-sourced (feeds no core
decision), so invariants #8/#9 hold. Main wires the NVIDIA probe on the managed
path when nvidia-smi is present, else UnavailableProbe.

Tests: csv parsing (single/multi/malformed), gpu+rss combine, fallbacks.

Plan: docs/plans/2026-05-31-model-lifecycle-management.md (slice 4 of 5).

infrastructure/inference/commons/build.gradle

@@ -16,6 +16,7 @@ dependencies {
     implementation "io.ktor:ktor-client-cio:$ktor_version"
     implementation "io.ktor:ktor-client-content-negotiation:$ktor_version"
     implementation "io.ktor:ktor-serialization-kotlinx-json:$ktor_version"
+    implementation "org.slf4j:slf4j-api:2.0.16"
 }
 
 tasks.named("koverVerify").configure { enabled = false }