- 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>
- Added qwen3.5-9b-vlm to MODELS array as (retired) with gray color
- Added modelLabel() / modelColor() safe lookup helpers
- Replaced all raw mlab[] and mcol[] lookups with safe fallbacks
- Unknown model IDs now show raw ID instead of 'undefined'
- Prevents stale Redis perf data from breaking renderPerf/renderScatter
- Removed all hardcoded API_KEYS from source (env var now REQUIRED)
- Added dual-key transition support (old keys deprecated, logged)
- Model sync: qwen3.5-9b-vlm → gemma-4-12b everywhere
- Dense context: 131K → 262K (all 3 models at 262K)
- Added /admin/keys endpoints for key lifecycle management
- Added ADMIN_KEY env var for admin auth
- Dashboard already synced to gemma-4-12b labels
Deployment: set API_KEYS from phase0-dual-keys.json in docker-compose
Transition: 7 days dual-key, then POST /admin/keys/revoke
Router: new /metrics/scatter endpoint returns individual data points
(prompt_tokens, inference_ms, model, agent, reason, stream)
for scatter visualization.
Dashboard: new panel showing latency vs prompt size by model.
- Log-scale X axis (prompt tokens) with model color coding
- Dropdown to filter by individual model or view all
- Hover tooltips with details per point
- Auto-refresh every 30s
Enables direct observation of context-length vs latency
relationship — validates routing tier decisions.
- Dashboard: when a model has zero non-streaming records, shows
"streaming only" instead of misleading 0 tok/s
- Dashboard: minimum bar width enforced (6% avg, 4% p50) so
low-tps models are always visible
- Router: removed inflated streaming tps estimate (prompt tokens
skewed results for long conversations)
Fixes Dense model appearing to "register nothing" when Mumuni
sends mostly streaming requests.
jerome
Abiba
mumuni-bot