kilocode-fleet-status

name	kilocode-fleet-status
description	Fleet status reporting and GPU mesh coordination for PMOVES.AI on the 5090 node. Use when checking service health, GPU utilization, fleet connectivity, or coordinating model load/unload events.
keywords	["fleet","status","gpu","health","mesh","ollama","nvidia"]
version	1.0.0
category	PMOVES/KiloCode-GLM

KiloCode Fleet Status

Comprehensive fleet status reporting from the 5090 GPU node using GLM-5.2 for analysis and summarization.

Purpose

Gather health, GPU, fleet, and service status into a single sitrep. Emit mesh events for model load/unload. Coordinate with Z890 hub services via Tailscale.

Capabilities

• 📊 Generate comprehensive sitrep (git, services, GPU, Ollama, fleet, PRs)
• 🖥️ Monitor GPU utilization and memory
• 🌐 Check Tailscale mesh connectivity to fleet nodes
• 📦 Track Ollama model availability
• 📢 Publish mesh.gpu.status.v1 announcements

Integration Points

• NATS Subject (publish): mesh.gpu.status.v1
• NATS Subject (subscribe): mesh.gpu.model.loaded.v1
• TensorZero Gateway: http://localhost:3030/health
• Tailscale Mesh: ${TS_Z890}, ${TS_5090}
• Ollama: http://localhost:11434

Workflow

Step 1: Local GPU Check

nvidia-smi --query-gpu=name,memory.used,memory.total,utilization.gpu --format=csv,noheader

Step 2: Service Health

# Local services
docker ps --format "table {{.Names}}\t{{.Status}}"

# Remote services via Tailscale
curl -sf http://${TS_Z890}:8080/healthz  # Agent Zero
curl -sf http://${TS_Z890}:3030/health   # TensorZero
curl -sf http://${TS_Z890}:8105/health   # Cipher

Step 3: Ollama Models

ollama list

Step 4: Fleet Status

make -C pmoves fleet-status

Step 5: Generate Sitrep

Combine all outputs into a structured sitrep with:

• Git status and branch
• Container count and health
• GPU utilization percentage
• Ollama models available
• Fleet node connectivity
• Open PRs (if any)

Trigger Phrases

• "fleet status"
• "sitrep"
• "check services"
• "GPU status"
• "node health"