- Added /metrics/gpu-health endpoint with live health scores (VRAM 40%, temp 30%, load 30%)
- Added /metrics/latency endpoint for dashboard KPIs
- Added GPU_LABELS for human-readable model names
- Dashboard v2: rewired to real data endpoints
- KPI cards: GPUs online, circuit trips, avg latency, req/min, active requests
- Health scores from actual gpu_health_score() function
- Rolling 60-sample history chart (real data, no simulation)
- Status: green/yellow/red based on tripped circuits
- No CDN dependency (pure CSS)
- Auto-refresh every 15s
- nginx: /dashboard/ serves static files with cache headers
- docker-compose: dashboard volume mount
Co-authored-by: Abiba <abiba@sysloggh.com>
router/router.py (+158 lines):
- store_perf_record(): captures queue_ms, inference_ms, prompt_tokens,
completion_tokens, tokens_per_sec per request in Redis
- Per-model, per-reason, per-agent rolling windows (last 200-500)
- /metrics/performance?window=N endpoint with percentiles (p50/p95/p99)
for latency, throughput, and queue time per model/reason/agent
- Queue time now surfaced in routing metadata and routes:recent
- Streaming requests tracked with estimated prompt tokens
nginx/nginx.conf:
- Added /metrics/ proxy pass to router_api
Enables model performance comparison and routing tier validation.
Abiba