feat(dashboard): live GPU health scoring + real KPIs
- 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>
This commit is contained in:
Abiba
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8"><meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Inference Harness - Dashboard</title>
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<style>
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:root{--bg:#0b0f17;--text:#bcc3cd;--panel:rgba(31,41,55,0.7);--border:rgba(75,85,99,0.4)}
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body{background:var(--bg);color:var(--text);font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif;margin:0;padding:1.5rem}
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.glass-panel{background:var(--panel);backdrop-filter:blur(12px);border:1px solid var(--border);border-radius:0.75rem;overflow:hidden}
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.stat-value{font-size:28px;font-weight:700;line-height:1.1}
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.stat-label{font-size:11px;text-transform:uppercase;letter-spacing:0.6px;color:#64748b}
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.health-bar{height:0.5rem;background:#374151;border-radius:0.375rem;overflow:hidden}
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.health-fill{height:100%;transition:width .5s ease}
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.dot-green{background:#10b981;animation:pulse 2s infinite}
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.dot-yellow{background:#f59e0b;animation:pulse 2s infinite}
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.dot-red{background:#ef4444;animation:pulse 2s infinite}
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@keyframes pulse{0%,100%{opacity:1}50%{opacity:.8}}
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.container{max-width:1400px;margin:0 auto}
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.grid-5{display:grid;grid-template-columns:repeat(5,1fr);gap:1rem}
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.grid-3{display:grid;grid-template-columns:repeat(3,1fr);gap:1rem}
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.grid-2{display:grid;grid-template-columns:1fr 1fr;gap:1.5rem}
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.mb-6{margin-bottom:1.5rem}
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.p-4{padding:1rem}
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.text-center{text-align:center}
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.font-bold{font-weight:700}
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.text-white{color:#fff}
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.text-sm{font-size:.875rem}
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.text-xs{font-size:.75rem}
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.text-gray-400{color:#9ca3af}
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.text-gray-500{color:#6b7280}
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.flex{display:flex}
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.items-center{align-items:center}
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.justify-between{justify-content:space-between}
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.gap-4{gap:1rem}
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.w-3{width:.75rem}.h-3{height:.75rem}.rounded-full{border-radius:9999px}
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.bg-blue-600{background:#2563eb}.bg-blue-600:hover{background:#1d4ed8}
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.px-4{padding-left:1rem;padding-right:1rem}.py-2{padding-top:.5rem;padding-bottom:.5rem}
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.rounded-lg{border-radius:.5rem}.text-white{color:#fff}
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.mt-2{margin-top:.5rem}.mb-2{margin-bottom:.5rem}.mb-3{margin-bottom:.75rem}
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.border-t{border-top:1px solid #374151}.pt-4{padding-top:1rem}
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.text-xl{font-size:1.25rem}.text-2xl{font-size:1.5rem}.text-lg{font-size:1.125rem}
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.font-semibold{font-weight:600}.font-normal{font-weight:400}
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.text-emerald-400{color:#34d399}.text-amber-400{color:#fbbf24}.text-red-400{color:#f87171}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="flex justify-between items-center mb-6">
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<div><h1 class="text-2xl font-bold text-white">Inference Harness</h1><p class="text-sm text-gray-400">Syslog Solution LLC · Real-time Monitoring</p></div>
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<div class="flex items-center gap-4">
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<span id="statusBadge" class="flex items-center gap-2"><span id="statusDot" class="w-3 h-3 rounded-full dot-green"></span><span id="statusText" class="text-emerald-400 text-lg font-semibold">healthy</span></span>
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<span id="lastUpdate" class="text-sm text-gray-500"></span>
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</div>
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</div>
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<div class="grid-5 mb-6">
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<div class="glass-panel p-4 text-center"><p class="stat-value text-white" id="kpiGpus">-</p><p class="stat-label">GPUs Online</p></div>
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<div class="glass-panel p-4 text-center"><p class="stat-value text-white" id="kpiTrips">-</p><p class="stat-label">Circuit Trips</p></div>
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<div class="glass-panel p-4 text-center"><p class="stat-value text-white" id="kpiLatency">-</p><p class="stat-label">Avg Latency</p></div>
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<div class="glass-panel p-4 text-center"><p class="stat-value text-white" id="kpiReqs">-</p><p class="stat-label">Requests/min</p></div>
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<div class="glass-panel p-4 text-center"><p class="stat-value text-white" id="kpiActive">-</p><p class="stat-label">Active Requests</p></div>
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</div>
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<h2 class="text-xl font-semibold text-white mb-3">GPU Health Scoring <span class="text-sm text-gray-400 font-normal">Live: VRAM 40% · Temp 30% · Load 30%</span></h2>
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<div id="gpuCards" class="grid-3 mb-6"></div>
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<div class="glass-panel p-4 mb-6"><h3 class="text-sm font-semibold text-gray-400 mb-3">Health Score History (60s rolling)</h3><div id="healthChart" style="height:220px"></div></div>
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<div class="text-center text-sm text-gray-500 pt-4 border-t"><p>Inference Harness Dashboard · Syslog Solution LLC · Auto-refresh 15s</p></div>
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</div>
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<script>
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const COLORS={'qwen3.6-35B-A3B':'#10b981','qwen3.6-27B-code':'#8b5cf6','gemma-4-12b':'#3b82f6'};
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const HISTORY=[]; // rolling 60 sample history for chart
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function Q(id){return document.getElementById(id)}
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function updateStatus(trips,degraded){
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const d=Q('statusDot'),t=Q('statusText');
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if(degraded){d.className='w-3 h-3 rounded-full dot-red';t.textContent='degraded';t.className='text-red-400 text-lg font-semibold'}
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else if(trips>0){d.className='w-3 h-3 rounded-full dot-yellow';t.textContent='trips:'+trips;t.className='text-amber-400 text-lg font-semibold'}
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else{d.className='w-3 h-3 rounded-full dot-green';t.textContent='healthy';t.className='text-emerald-400 text-lg font-semibold'}
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}
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function fetchAll(){
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Promise.all([
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fetch('/metrics/gpu-health').then(r=>r.json()),
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fetch('/metrics/latency').then(r=>r.json())
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]).then(function(_a){var health=_a[0],latency=_a[1];
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Q('lastUpdate').textContent=new Date().toLocaleTimeString();
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var gpus=health.gpus||[],kpi=health.kpi||{};
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// KPIs
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Q('kpiGpus').textContent=kpi.gpus_online+'/'+kpi.total_gpus;
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Q('kpiTrips').textContent=kpi.total_trips;
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Q('kpiLatency').textContent=(latency.avg_ms||0)+'ms';
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Q('kpiReqs').textContent=latency.requests_per_min||0;
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var active=0;gpus.forEach(function(g){active+=g.active_requests||0});
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Q('kpiActive').textContent=active;
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// Status
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var degraded=gpus.some(function(g){return g.status==='down'||g.circuit_tripped});
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updateStatus(kpi.total_trips||0,degraded);
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// GPU cards
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var html='';
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gpus.forEach(function(g,i){
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var s=g.health_score||0,clr=s>=70?'#10b981':(s>=40?'#f59e0b':'#ef4444');
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var badge='';
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if(g.circuit_tripped)badge='<span class="text-xs px-2 py-1 bg-red-900 rounded text-red-300">TRIPPED</span>';
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else if(i===0)badge='<span class="text-xs px-2 py-1 bg-emerald-900 rounded text-emerald-300">Best</span>';
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html+='<div class="glass-panel p-4"><div class="flex justify-between items-center mb-2"><p class="text-lg font-bold text-white">'+g.label+'</p>'+badge+'</div>'+
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'<p class="text-4xl font-bold mb-2" style="color:'+clr+'">'+Math.round(s)+'</p>'+
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'<div class="health-bar"><div class="health-fill" style="width:'+s+'%;background:'+clr+'"></div></div>'+
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'<div class="flex justify-between mt-2 text-xs text-gray-400"><span>VRAM '+g.vram_pct+'%</span><span>'+g.temp_c+'°C</span><span>Active '+g.active_requests+'/'+g.max_concurrent+'</span><span>Trips '+g.circuit_trip_count+'</span></div></div>';
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});
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Q('gpuCards').innerHTML=html;
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// Rolling history
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var now=Date.now();HISTORY.push({ts:now,gpus:gpus.map(function(g){return{id:g.id,score:g.health_score}})});
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if(HISTORY.length>60)HISTORY.shift();
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renderChart();
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}).catch(function(){});
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}
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function renderChart(){
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var W=800,H=220,svg='<svg viewBox="0 0 '+W+' '+H+'" style="width:100%;height:220px" preserveAspectRatio="none">';
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// Grid lines
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for(var i=0;i<=4;i++){var y=(i/4)*H;svg+='<line x1="0" y1="'+y+'" x2="'+W+'" y2="'+y+'" stroke="#1e293b" stroke-width="1"/>';svg+='<text x="5" y="'+(y+10)+'" font-size="9" fill="#64748b">'+(100-i*25)+'</text>'}
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// Time labels
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for(var i=0;i<=4;i++){var lx=(i/4)*W,lt=HISTORY.length>0?new Date(HISTORY[Math.floor(i/4*(HISTORY.length-1))].ts).toLocaleTimeString():'';svg+='<text x="'+lx+'" y="'+(H-2)+'" font-size="8" fill="#475569" text-anchor="middle">'+lt+'</text>'}
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// Plot lines per GPU
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var ids=HISTORY.length>0?HISTORY[0].gpus.map(function(g){return g.id}):[];
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ids.forEach(function(id){
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var c=COLORS[id]||'#94a3b8',pts='',first=true;
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HISTORY.forEach(function(h,i){
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var gpu=h.gpus.find(function(g){return g.id===id});
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if(!gpu)return;
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var x=(i/(HISTORY.length-1||1))*W,y=H-(gpu.score/100*H);
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pts+=(first?'M':'L')+x.toFixed(1)+','+y.toFixed(1);first=false;
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});
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if(pts)svg+='<path d="'+pts+'" fill="none" stroke="'+c+'" stroke-width="2" opacity="0.9"/>';
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});
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svg+='</svg>';Q('healthChart').innerHTML=svg;
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}
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fetchAll();setInterval(fetchAll,15000);
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</script>
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</body>
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</html>
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@@ -68,6 +68,7 @@ services:
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- "80:80"
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volumes:
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- ./nginx/nginx.conf:/etc/nginx/nginx.conf:ro
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- ./dashboard:/opt/inference-harness/dashboard:ro
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healthcheck:
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test: ["CMD", "curl", "-f", "http://127.0.0.1/health"]
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interval: 30s
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+18
-3
@@ -31,7 +31,7 @@ http {
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# Disable buffering for SSE streams
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proxy_buffering off;
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# API — through router
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# API through router
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location /v1/ {
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proxy_pass http://router_api;
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proxy_http_version 1.1;
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@@ -42,7 +42,14 @@ http {
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proxy_read_timeout 600s;
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proxy_buffering off;
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}
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location /admin/ { proxy_pass http://router_api; proxy_http_version 1.1; proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header Authorization $http_authorization; }
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location /admin/ {
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proxy_pass http://router_api;
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proxy_http_version 1.1;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header Authorization $http_authorization;
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}
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# SSE streaming endpoint
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location /stream {
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@@ -71,7 +78,15 @@ location /admin/ { proxy_pass http://router_api; proxy_htt
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proxy_set_header Authorization $http_authorization;
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}
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# Dashboard
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# Professional Dashboard (Phase 1-3) - Static HTML served via Nginx
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location /dashboard/ {
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alias /opt/inference-harness/dashboard/;
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index dashboard.html;
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add_header Cache-Control "public, max-age=3600";
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add_header X-Content-Type-Options nosniff;
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}
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# Legacy Dashboard (root) - Proxy to Flask app
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location / {
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proxy_pass http://dashboard_ui;
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proxy_http_version 1.1;
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@@ -31,6 +31,13 @@ GPU_URLS = {
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"gemma-4-12b": GPU_LIGHT_URL,
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}
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# Max concurrent requests per GPU (based on llama.cpp --parallel)
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GPU_LABELS = {
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"qwen3.6-35B-A3B": "Qwen3.6 35B (Strix Halo)",
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"qwen3.6-27B-code": "Qwen3.6 27B Code (RTX 3090)",
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"gemma-4-12b": "Gemma-4 12B (RTX 5070)",
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}
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GPU_MAX_CONCURRENT = {
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"qwen3.6-35B-A3B": 2, # 2 slots (cross-agent spread prevents overheating)
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"qwen3.6-27B-code": 2, # 2 slots (128K context frees VRAM)
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@@ -815,6 +822,55 @@ def metrics_circuit_breaker():
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}
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return jsonify(result)
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@app.route("/metrics/gpu-health")
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def metrics_gpu_health():
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"""Live GPU health scores + circuit breaker + KPIs."""
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result = {"gpus": [], "ts": time.time()}
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for model in GPU_URLS:
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h = check_gpu_health(model, sidecar_timeout=1.5, gpu_timeout=1)
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score = gpu_health_score(model)
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active = gpu_active_count(model)
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max_c = GPU_MAX_CONCURRENT.get(model, 1)
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cb_tripped = bool(r and r.exists("circuit:" + model + ":open"))
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cb_count = int(r.get("circuit:" + model + ":count") or 0) if r else 0
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result["gpus"].append({
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"id": model,
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"label": GPU_LABELS.get(model, model),
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"status": h.get("status", "unknown"),
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"vram_pct": h.get("vram_pct", 0),
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"temp_c": h.get("temp_c", 0),
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"vram_used_mb": h.get("vram_used_mb", 0),
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"vram_total_mb": h.get("vram_total_mb", 0),
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"gpu_name": h.get("gpu_name", model),
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"health_score": round(score, 1),
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"active_requests": active,
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"max_concurrent": max_c,
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"circuit_tripped": cb_tripped,
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"circuit_trip_count": cb_count
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})
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online = sum(1 for g in result["gpus"] if g["status"] in ("healthy", "saturated"))
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trips = sum(g["circuit_trip_count"] for g in result["gpus"])
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result["kpi"] = {"gpus_online": online, "total_trips": trips, "total_gpus": len(GPU_URLS)}
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return jsonify(result)
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@app.route("/metrics/latency")
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def metrics_latency():
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"""Lightweight latency summary for dashboard KPIs."""
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if not r: return jsonify({"avg_ms": 0, "requests_per_min": 0})
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recent = []
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for x in (r.lrange("routes:recent", 0, 49) or []):
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try: recent.append(json.loads(x))
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except: pass
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if not recent: return jsonify({"avg_ms": 0, "requests_per_min": 0, "count": 0})
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now = time.time()
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last_min = [x for x in recent if now - x.get("ts", 0) < 60]
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latencies = [x.get("queue_ms", 0) + x.get("inference_ms", 0) for x in last_min if "inference_ms" in x]
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return jsonify({
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"avg_ms": round(sum(latencies) / len(latencies), 1) if latencies else 0,
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"requests_per_min": len(last_min),
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"count": len(recent)
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})
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@app.route("/stream")
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def stream():
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def ev():
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