feat: Convert InferRoute Space to Static SDK with unified hub serving Quant.ai & InferRoute Gateway

README.md

@@ -3,8 +3,7 @@ title: InferRoute Multi-LLM Gateway
 emoji: 🚀
 colorFrom: blue
 colorTo: indigo
-sdk: docker
-app_port: 7860
+sdk: static
 pinned: false
 ---
 

assets

@@ -0,0 +1 @@
+:root{--lightningcss-light: ;--lightningcss-dark:initial;color-scheme:dark;color:#fff;--color-green:#00c805;--color-red:#ff3b30;--color-bg-dark:#000;--color-bg-card:#1e1e1e;--color-border:#333;--color-text-secondary:#8e8e93;background-color:#000;font-family:Inter,system-ui,-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,Oxygen,Ubuntu,Cantarell,sans-serif;font-weight:400;line-height:1.5}body{background-color:var(--color-bg-dark);min-height:100vh;margin:0;padding:0}::-webkit-scrollbar{width:6px;height:6px}::-webkit-scrollbar-track{background:#000}::-webkit-scrollbar-thumb{background:#2c2c2e;border-radius:3px}::-webkit-scrollbar-thumb:hover{background:#3a3a3c}.header-bar{border-bottom:1px solid var(--color-border);-webkit-backdrop-filter:blur(10px);backdrop-filter:blur(10px);background-color:#1e1e1e33;justify-content:space-between;align-items:center;padding:1rem 2rem;display:flex}.logo{color:#fff;align-items:center;gap:.5rem;font-size:1.5rem;font-weight:800;display:flex}.logo span{color:var(--color-green)}.app-container{background-color:#000;grid-template-columns:1fr 300px;min-height:calc(100vh - 65px);display:grid}.main-content{border-right:1px solid var(--color-border);flex-direction:column;gap:2rem;padding:2rem;display:flex;overflow-y:auto}.sidebar{background-color:#000;flex-direction:column;gap:1.5rem;padding:2rem 1.5rem;display:flex}.sidebar-title{color:#fff;border-bottom:1px solid var(--color-border);margin:0 0 .5rem;padding-bottom:.5rem;font-size:1.1rem;font-weight:700}.watchlist-item{cursor:pointer;background-color:#1c1c1e;border:1px solid #0000;border-radius:8px;justify-content:space-between;align-items:center;padding:.75rem 1rem;transition:all .2s;display:flex}.watchlist-item:hover{border-color:var(--color-green);background-color:#2c2c2e}.watchlist-item.active{border-color:var(--color-green);background-color:#00c8051a}.watchlist-ticker{font-size:1.1rem;font-weight:700}.watchlist-price{text-align:right;font-weight:600}.pnl-container{flex-direction:column;gap:.25rem;display:flex}.portfolio-value{letter-spacing:-1px;font-size:3rem;font-weight:800}.pnl-text{align-items:center;gap:.25rem;font-size:1.1rem;font-weight:600;display:flex}.pnl-text.up{color:var(--color-green)}.pnl-text.down{color:var(--color-red)}.time-tabs{gap:.5rem;margin-top:1rem;display:flex}.tab-btn{color:var(--color-text-secondary);cursor:pointer;background:0 0;border:none;border-radius:4px;padding:.4rem .8rem;font-size:.9rem;font-weight:700;transition:all .2s}.tab-btn:hover{color:#fff;background-color:#1c1c1e}.tab-btn.active{color:var(--color-green);background-color:#00c8051a}.card{border:1px solid var(--color-border);background-color:#1c1c1e;border-radius:12px;padding:1.5rem}.card-title{color:#fff;margin:0 0 1rem;font-size:1.1rem;font-weight:700}.stats-grid{grid-template-columns:repeat(auto-fit,minmax(150px,1fr));gap:1.5rem;display:grid}.stat-box{flex-direction:column;gap:.25rem;display:flex}.stat-label{color:var(--color-text-secondary);font-size:.85rem;font-weight:600}.stat-value{font-size:1.4rem;font-weight:800}.ledger-table{border-collapse:collapse;text-align:left;width:100%}.ledger-table th{color:var(--color-text-secondary);border-bottom:1px solid var(--color-border);padding:.75rem 1rem;font-size:.9rem;font-weight:600}.ledger-table td{border-bottom:1px solid var(--color-border);padding:1rem;font-size:.95rem}.ledger-table tr:hover{background-color:#ffffff05}.action-badge{border-radius:4px;padding:.25rem .5rem;font-size:.8rem;font-weight:700}.action-badge.buy{color:var(--color-green);background-color:#00c80526}.action-badge.sell{color:var(--color-red);background-color:#ff3b3026}.chart-wrapper{border:1px solid var(--color-border);background-color:#000;border-radius:12px;width:100%;height:400px;position:relative;overflow:hidden}.loader-container{border:1px solid var(--color-border);height:400px;color:var(--color-text-secondary);background-color:#1c1c1e;border-radius:12px;justify-content:center;align-items:center;font-size:1.2rem;font-weight:600;display:flex}input[type=range]{-webkit-appearance:none;background:#2c2c2e;border-radius:3px;outline:none;width:100%;height:6px;margin:10px 0}input[type=range]::-webkit-slider-thumb{appearance:none;background:var(--color-green);cursor:pointer;border-radius:50%;width:16px;height:16px;transition:transform .1s}input[type=range]::-webkit-slider-thumb:hover{transform:scale(1.25)}select:focus,input[type=text]:focus{outline:none;box-shadow:0 0 0 1px #00c80533;border-color:var(--color-green)!important}.ledger-table td button{transition:all .2s}.pnl-header-container{flex-flow:wrap;justify-content:space-between;align-items:flex-end;gap:1rem;display:flex}.interval-picker-container{flex-direction:column;align-items:flex-end;gap:6px;display:flex}.strategy-patterns-grid{grid-template-columns:1.2fr .8fr;gap:2rem;display:grid}.nav-tabs{border:1px solid var(--color-border);background:#1c1c1e;border-radius:10px;gap:4px;padding:3px;display:flex}.nav-tab{color:var(--color-text-secondary);cursor:pointer;background:0 0;border:none;border-radius:8px;padding:8px 20px;font-size:.85rem;font-weight:700;transition:all .25s}.nav-tab:hover{color:#fff;background:#ffffff0d}.nav-tab.active{color:#000;background:var(--color-green)}.stats-divider{background:var(--color-border);height:1px;margin:1.25rem 0}.chat-panel{border:1px solid var(--color-border);background:#111;border-radius:16px;flex-direction:column;max-height:700px;display:flex;overflow:hidden}.chat-header{border-bottom:1px solid var(--color-border);background:#1e1e1e99;justify-content:space-between;align-items:center;padding:14px 20px;display:flex}.chat-header-title{align-items:center;gap:8px;font-size:1rem;font-weight:700;display:flex}.chat-icon{font-size:1.2rem}.chat-status{color:var(--color-green);font-size:.8rem;font-weight:600}.chat-messages{flex-direction:column;flex:1;gap:12px;max-height:500px;padding:16px;display:flex;overflow-y:auto}.chat-msg{display:flex}.chat-msg-user{justify-content:flex-end}.chat-msg-bubble{word-break:break-word;border-radius:16px;max-width:85%;padding:12px 16px;font-size:.9rem;line-height:1.6}.chat-msg-user-bubble{background:var(--color-green);color:#000;border-bottom-right-radius:4px;font-weight:600}.chat-msg-system-bubble{color:var(--color-text-secondary);background:#8e8e931f;border-bottom-left-radius:4px;font-size:.85rem}.chat-msg-assistant-bubble{color:#e0e0e0;border:1px solid var(--color-border);background:#1c1c1e;border-bottom-left-radius:4px}.chat-config-preview{background:#0000004d;border:1px solid #ffffff0f;border-radius:10px;margin-top:12px;padding:12px}.chat-config-title{color:#fff;margin-bottom:10px;font-size:.85rem;font-weight:700}.chat-config-grid{grid-template-columns:1fr 1fr;gap:6px 16px;display:grid}.chat-config-item{justify-content:space-between;padding:3px 0;font-size:.8rem;display:flex}.chat-config-key{color:var(--color-text-secondary)}.chat-config-val{color:var(--color-green);font-family:SF Mono,Fira Code,monospace;font-weight:600}.chat-plan{background:#0000004d;border:1px solid #ffffff0f;border-radius:10px;margin-top:12px;padding:12px}.chat-plan-step{align-items:flex-start;gap:10px;padding:6px 0;display:flex}.chat-plan-step-num{background:var(--color-green);color:#000;border-radius:50%;flex-shrink:0;justify-content:center;align-items:center;width:22px;height:22px;font-size:.7rem;font-weight:800;display:flex}.chat-plan-tool{color:#af52de;font-family:SF Mono,Fira Code,monospace;font-size:.8rem;font-weight:700;display:block}.chat-plan-desc{color:var(--color-text-secondary);font-size:.8rem}.chat-risk-report{background:#0006;border:1px solid #ffffff14;border-radius:12px;margin-top:12px;padding:16px}.chat-risk-header{justify-content:space-between;align-items:center;margin-bottom:16px;display:flex}.risk-score-badge{text-align:center;border:2px solid;border-radius:12px;min-width:70px;padding:6px 16px}.risk-score-value{font-size:1.6rem;font-weight:800;line-height:1}.risk-score-label{text-transform:uppercase;letter-spacing:.5px;font-size:.65rem;font-weight:700}.chat-risk-section{border-left:3px solid var(--color-border);background:#ffffff05;border-radius:8px;margin-bottom:14px;padding:12px}.chat-risk-section.chat-risk-positive{border-left-color:var(--color-green)}.chat-risk-section.chat-risk-negative{border-left-color:var(--color-red)}.chat-risk-section.chat-risk-warning{border-left-color:#f5a623}.chat-risk-section.chat-risk-neutral{border-left-color:#af52de}.chat-risk-section-title{color:#fff;margin-bottom:8px;font-size:.9rem;font-weight:700}.chat-risk-insights{margin:0;padding:0;list-style:none}.chat-risk-insights li{color:silver;padding:3px 0 3px 12px;font-size:.82rem;line-height:1.6;position:relative}.chat-risk-insights li:before{content:"›";color:var(--color-text-secondary);font-weight:700;position:absolute;left:0}.chat-risk-insights li strong{color:#fff}.chat-risk-insights li code{color:#af52de;background:#af52de26;border-radius:4px;padding:1px 6px;font-family:SF Mono,Fira Code,monospace;font-size:.78rem}.chat-typing{gap:4px;display:flex;padding:16px 20px!important}.chat-typing .dot{background:var(--color-green);border-radius:50%;width:8px;height:8px;animation:1.4s ease-in-out infinite typingPulse}.chat-typing .dot:nth-child(2){animation-delay:.2s}.chat-typing .dot:nth-child(3){animation-delay:.4s}@keyframes typingPulse{0%,60%,to{opacity:.3;transform:scale(.8)}30%{opacity:1;transform:scale(1)}}.chat-examples{border-top:1px solid var(--color-border);flex-wrap:wrap;gap:8px;padding:10px 16px;display:flex}.chat-example-btn{color:var(--color-green);cursor:pointer;background:#00c8050f;border:1px solid #00c80533;border-radius:20px;padding:6px 14px;font-size:.78rem;font-weight:500;transition:all .2s}.chat-example-btn:hover{border-color:var(--color-green);background:#00c8051f}.chat-input-area{border-top:1px solid var(--color-border);background:#141414cc;gap:8px;padding:12px 16px;display:flex}.chat-input{border:1px solid var(--color-border);color:#fff;resize:none;background:#1c1c1e;border-radius:12px;outline:none;flex:1;padding:10px 16px;font-family:inherit;font-size:.9rem;transition:border-color .2s}.chat-input:focus{border-color:var(--color-green)}.chat-input::placeholder{color:#555}.chat-send-btn{background:var(--color-green);cursor:pointer;border:none;border-radius:12px;flex-shrink:0;justify-content:center;align-items:center;width:44px;height:44px;font-size:1.1rem;transition:all .2s;display:flex}.chat-send-btn:hover:not(:disabled){transform:scale(1.05);box-shadow:0 0 20px #00c8054d}.chat-send-btn:disabled{opacity:.4;cursor:not-allowed}.equity-curve-card{padding-bottom:1rem}.equity-curve-header{flex-wrap:wrap;justify-content:space-between;align-items:center;gap:.5rem;margin-bottom:.75rem;display:flex}.equity-curve-stats{gap:1.5rem;font-size:.8rem;display:flex}.equity-stat{color:var(--color-text-secondary);font-weight:600}.equity-stat strong{color:#fff}.equity-chart-label{color:var(--color-text-secondary);text-transform:uppercase;letter-spacing:.5px;margin-bottom:4px;font-size:.75rem;font-weight:600}.equity-chart-container,.drawdown-chart-container{border:1px solid #ffffff0a;border-radius:8px;overflow:hidden}.regime-card{overflow:hidden}.regime-distribution{margin-bottom:1.25rem}.regime-bar{border-radius:4px;height:8px;margin-bottom:8px;display:flex;overflow:hidden}.regime-bar-segment{min-width:2px;transition:width .5s}.regime-bar-labels{flex-wrap:wrap;gap:12px;font-size:.75rem;font-weight:600;display:flex}.regime-bar-label{align-items:center;gap:4px;display:flex}.regime-table-wrapper{overflow-x:auto}.regime-table{border-collapse:collapse;text-align:left;width:100%}.regime-table th{color:var(--color-text-secondary);border-bottom:1px solid var(--color-border);text-transform:uppercase;letter-spacing:.3px;padding:8px 12px;font-size:.8rem;font-weight:600}.regime-table td{border-bottom:1px solid #ffffff0a;padding:10px 12px;font-size:.88rem}.regime-table tr:hover{background:#ffffff05}.regime-name{font-size:.85rem;font-weight:700}@media (width<=768px){.app-container{grid-template-columns:1fr}.header-bar{text-align:center;flex-direction:column;gap:.5rem;padding:1rem}.main-content{border-right:none;border-bottom:1px solid var(--color-border);gap:1.5rem;padding:1rem}.pnl-header-container{flex-direction:column;align-items:flex-start;gap:1rem}.interval-picker-container{align-items:flex-start;width:100%}.time-tabs{flex-wrap:wrap}.portfolio-value{font-size:2rem}.strategy-patterns-grid{grid-template-columns:1fr;gap:1.5rem}.chart-wrapper{height:300px}.sidebar{padding:1.5rem 1rem}.chat-config-grid{grid-template-columns:1fr}.chat-risk-header{flex-direction:column;align-items:flex-start;gap:10px}.equity-curve-stats{flex-wrap:wrap;gap:.75rem}}.research-panel{border:1px solid var(--color-border);background-color:#000;border-radius:16px;flex-direction:column;height:calc(100vh - 120px);display:flex;overflow:hidden}.research-layout{grid-template-columns:240px 1fr;height:100%;display:grid;overflow:hidden}.research-toc{border-right:1px solid var(--color-border);background-color:#0d0d0e;flex-direction:column;gap:1.5rem;padding:1.5rem 1rem;display:flex;overflow-y:auto}.toc-title{text-transform:uppercase;letter-spacing:.5px;color:#fff;border-bottom:1px solid var(--color-border);padding-bottom:.5rem;font-size:.95rem;font-weight:800}.toc-list{flex-direction:column;gap:4px;display:flex}.toc-item{color:var(--color-text-secondary);text-align:left;cursor:pointer;white-space:nowrap;text-overflow:ellipsis;background:0 0;border:none;border-radius:6px;padding:8px 12px;font-size:.85rem;font-weight:600;transition:all .2s;overflow:hidden}.toc-item:hover{color:#fff;background-color:#ffffff0a}.toc-item.active{color:#000;background-color:var(--color-green);font-weight:700}.toc-apply-widget{border:1px solid var(--color-border);background-color:#ffffff05;border-radius:8px;margin-top:auto;padding:12px}.toc-widget-title{color:#fff;text-transform:uppercase;margin-bottom:6px;font-size:.78rem;font-weight:750}.btn-apply-preset{cursor:pointer;text-align:left;border:none;border-radius:6px;align-items:center;width:100%;margin-bottom:6px;padding:8px 10px;font-size:.75rem;font-weight:700;transition:all .2s;display:flex}.btn-apply-preset.dynamic{color:var(--color-green);background:#00c8051a;border:1px solid #00c80533}.btn-apply-preset.dynamic:hover{background:var(--color-green);color:#000}.btn-apply-preset.trend{color:#bf5af2;background:#af52de1a;border:1px solid #af52de33}.btn-apply-preset.trend:hover{color:#000;background:#bf5af2}.btn-apply-preset.reversion{color:#ff9f0a;background:#f5a6231a;border:1px solid #f5a62333}.btn-apply-preset.reversion:hover{color:#000;background:#ff9f0a}.research-doc-body{scroll-behavior:smooth;background-color:#000;flex-direction:column;gap:3rem;padding:2.5rem;display:flex;overflow-y:auto}.doc-section-card{border:1px solid var(--color-border);background-color:#121214;border-radius:12px;padding:1.5rem;transition:border-color .4s,box-shadow .4s}.doc-section-card.highlight{border-color:#00c8054d;box-shadow:0 0 20px #00c8050d}.doc-section-title{color:#fff;border-left:4px solid var(--color-green);margin-top:0;margin-bottom:1.25rem;padding-left:10px;font-size:1.4rem;font-weight:800}.doc-heading3{color:#fff;border-bottom:1px solid #ffffff0a;margin-top:1.5rem;margin-bottom:.75rem;padding-bottom:4px;font-size:1.05rem;font-weight:700}.doc-paragraph{color:#e5e5e7;letter-spacing:-.01em;margin-bottom:1.25rem;font-size:.98rem;line-height:1.75}.doc-paragraph code,.doc-list li code,.doc-alert-box code{color:#ff9f0a;background:#ffffff14;border-radius:4px;padding:2px 5px;font-family:SFMono-Regular,Consolas,Liberation Mono,Menlo,monospace;font-size:.85rem}.doc-list{margin:1rem 0 1.25rem;padding-left:1.5rem}.doc-list li{color:#e5e5e7;letter-spacing:-.01em;margin-bottom:.6rem;font-size:.98rem;line-height:1.75}.code-lang-label{text-transform:uppercase;color:var(--color-text-secondary);font-family:monospace;font-size:.65rem;font-weight:700;position:absolute;top:8px;right:12px}.doc-code-block{border:1px solid var(--color-border);border-radius:6px;margin:0;overflow-x:auto}.doc-alert-box.alert-info,.doc-alert-box.alert-note{color:#a4d3ff;border-left-color:#0a84ff}.doc-alert-box.alert-tip{border-left-color:var(--color-green);color:#d0ffd4}.doc-alert-box.alert-important{color:#f5d6ff;border-left-color:#bf5af2}.doc-alert-box.alert-warning{color:#ffebcc;border-left-color:#ff9f0a}.doc-alert-box.alert-caution{border-left-color:var(--color-red);color:#ffd6d4}.widget-header{color:#fff;align-items:center;gap:8px;margin-top:0;margin-bottom:.75rem;font-size:1rem;font-weight:700;display:flex}.calc-input-group label{color:#dedede;margin-bottom:4px;font-size:.82rem;display:block}.calc-stat-box{flex-direction:column;display:flex}.calc-stat-label{color:var(--color-text-secondary);text-transform:uppercase;letter-spacing:.5px;font-size:.72rem;font-weight:700}.feasibility-badge{border-radius:6px;width:fit-content;padding:4px 10px;font-size:.8rem;display:inline-block}.feasibility-badge.danger{color:var(--color-red);background:#ff3b3026}.feasibility-badge.warning{color:#ff9f0a;background:#f5a62326}.feasibility-badge.moderate{color:#bf5af2;background:#af52de26}.feasibility-badge.success{color:var(--color-green);background:#00c80526}.market-detail-row{color:#dedede;margin-bottom:8px;font-size:.82rem;line-height:1.5}.market-detail-row strong{color:#fff}.candlestick-card{transition:all .25s;overflow:hidden}.candlestick-card:hover{border-color:#ffffff26;transform:translateY(-2px);box-shadow:0 4px 12px #0000004d}.candlestick-card.border-bullish{border-left:3px solid var(--color-green)!important}.candlestick-card.border-bearish{border-left:3px solid var(--color-red)!important}.candlestick-card.border-neutral{border-left:3px solid var(--color-text-secondary)!important}.badge-type.bullish{color:var(--color-green);background:#00c80526}.badge-type.bearish{color:var(--color-red);background:#ff3b3026}.badge-type.neutral{color:var(--color-text-secondary);background:#8e8e9326}.checklist-item-row:hover{background-color:#ffffff05!important;border-color:#ffffff1a!important}.code-links-grid{grid-template-columns:1fr 1fr;gap:10px;display:grid}.code-link-item{background:#111;border:1px solid #222;border-radius:8px;align-items:center;gap:12px;padding:12px;text-decoration:none;transition:all .2s;display:flex}.code-link-item:hover{border-color:var(--color-green);background:#ffffff08;transform:translate(2px)}.file-icon{opacity:.8;font-size:1.5rem}.code-link-item div{flex-direction:column;display:flex}.code-link-item div strong{color:#fff;font-family:monospace;font-size:.85rem}.code-link-item div span{color:var(--color-text-secondary);margin-top:2px;font-size:.72rem}@keyframes spin{0%{transform:rotate(0)}to{transform:rotate(360deg)}}@keyframes pulse{0%{opacity:.6;transform:scale(1)}50%{opacity:1;transform:scale(1.1)}to{opacity:.6;transform:scale(1)}}@keyframes fadeIn{0%{opacity:0;transform:translateY(8px)}to{opacity:1;transform:translateY(0)}}

index.html

@@ -0,0 +1,107 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>InferRoute & Quant.ai Platform</title>
+    <link href="https://fonts.googleapis.com/css2?family=Outfit:wght@400;500;600;700&display=swap" rel="stylesheet">
+    <style>
+        * { box-sizing: border-box; margin: 0; padding: 0; font-family: 'Outfit', -apple-system, sans-serif; }
+        body { background: #0f172a; color: #f8fafc; height: 100vh; display: flex; flex-direction: column; overflow: hidden; }
+        
+        .nav-bar {
+            height: 52px;
+            background: rgba(15, 23, 42, 0.95);
+            border-bottom: 1px solid #1e293b;
+            display: flex;
+            align-items: center;
+            justify-content: space-between;
+            padding: 0 1.5rem;
+            z-index: 100;
+        }
+
+        .brand {
+            display: flex;
+            align-items: center;
+            gap: 0.75rem;
+            font-weight: 700;
+            font-size: 1.1rem;
+            color: #38bdf8;
+        }
+
+        .tabs {
+            display: flex;
+            gap: 0.5rem;
+            background: #1e293b;
+            padding: 3px;
+            border-radius: 8px;
+        }
+
+        .tab-btn {
+            background: transparent;
+            border: none;
+            color: #94a3b8;
+            padding: 6px 16px;
+            border-radius: 6px;
+            font-weight: 600;
+            font-size: 0.88rem;
+            cursor: pointer;
+            transition: all 0.2s ease;
+            display: flex;
+            align-items: center;
+            gap: 6px;
+        }
+
+        .tab-btn:hover {
+            color: #f8fafc;
+        }
+
+        .tab-btn.active {
+            background: #2563eb;
+            color: #ffffff;
+            box-shadow: 0 2px 8px rgba(37, 99, 235, 0.3);
+        }
+
+        .content-frame {
+            flex: 1;
+            width: 100%;
+            border: none;
+            background: #ffffff;
+        }
+    </style>
+</head>
+<body>
+    <div class="nav-bar">
+        <div class="brand">
+            <span>🚀 InferRoute & Quant.ai Hub</span>
+        </div>
+        <div class="tabs">
+            <button class="tab-btn active" onclick="switchTab('quant')">
+                <span>📈</span> Quant.ai Trading Terminal
+            </button>
+            <button class="tab-btn" onclick="switchTab('platform')">
+                <span>🌐</span> InferRoute LLM Gateway
+            </button>
+        </div>
+    </div>
+
+    <iframe id="mainFrame" class="content-frame" src="quant.html"></iframe>
+
+    <script>
+        function switchTab(tab) {
+            const frame = document.getElementById('mainFrame');
+            const btns = document.querySelectorAll('.tab-btn');
+            
+            btns.forEach(btn => btn.classList.remove('active'));
+
+            if (tab === 'quant') {
+                frame.src = 'quant.html';
+                btns[0].classList.add('active');
+            } else {
+                frame.src = 'platform.html';
+                btns[1].classList.add('active');
+            }
+        }
+    </script>
+</body>
+</html>

platform.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>InferRoute - Multi-LLM API Gateway & Cost Optimization Engine</title>
+    <link href="https://fonts.googleapis.com/css2?family=Outfit:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
+    <style>
+        :root {
+            --bg-light: #f8fafc;
+            --card-bg: #ffffff;
+            --card-border: #e2e8f0;
+            --card-shadow: 0 4px 20px -2px rgba(0, 0, 0, 0.05), 0 2px 6px -1px rgba(0, 0, 0, 0.02);
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+            --accent-blue-light: #eff6ff;
+            --accent-cyan: #0891b2;
+            --accent-green: #16a34a;
+            --accent-purple: #7c3aed;
+            --accent-amber: #d97706;
+            --accent-red: #dc2626;
+            --text-main: #0f172a;
+            --text-muted: #64748b;
+        }
+
+        * { box-sizing: border-box; margin: 0; padding: 0; font-family: 'Outfit', -apple-system, sans-serif; }
+        body { background: var(--bg-light); color: var(--text-main); min-height: 100vh; display: flex; flex-direction: column; overflow-x: hidden; }
+
+        header {
+            position: sticky; top: 0; z-index: 50; backdrop-filter: blur(12px);
+            background: rgba(255, 255, 255, 0.92); border-bottom: 1px solid var(--card-border);
+            padding: 0.85rem 2rem; display: flex; justify-content: space-between; align-items: center;
+            box-shadow: 0 1px 3px rgba(0,0,0,0.03);
+        }
+        .brand { display: flex; align-items: center; gap: 0.75rem; font-weight: 800; font-size: 1.35rem; color: var(--text-main); cursor: pointer; }
+        .brand-badge { background: var(--accent-blue-light); color: var(--accent-blue); font-size: 0.75rem; padding: 0.2rem 0.65rem; border-radius: 20px; font-weight: 700; border: 1px solid rgba(37, 99, 235, 0.2); }
+        
+        .nav-links { display: flex; gap: 1.5rem; align-items: center; }
+        .nav-link { color: var(--text-muted); text-decoration: none; font-weight: 600; font-size: 0.95rem; transition: color 0.2s; cursor: pointer; }
+        .nav-link:hover, .nav-link.active { color: var(--accent-blue); }
+
+        .header-controls { display: flex; gap: 1rem; align-items: center; }
+        .stat-pill { background: #fff; border: 1px solid var(--card-border); padding: 0.4rem 0.85rem; border-radius: 8px; font-size: 0.85rem; display: flex; align-items: center; gap: 0.5rem; }
+        .stat-val { font-weight: 700; color: var(--accent-green); }
+
+        .lang-toggle {
+            background: #ffffff; border: 1px solid var(--card-border); padding: 0.4rem 0.85rem;
+            border-radius: 8px; font-weight: 700; font-size: 0.85rem; cursor: pointer; color: var(--accent-blue);
+            transition: all 0.2s; display: flex; align-items: center; gap: 0.4rem;
+        }
+        .lang-toggle:hover { background: var(--accent-blue-light); }
+
+        main { max-width: 1200px; width: 100%; margin: 0 auto; padding: 2rem 1.5rem; display: flex; flex-direction: column; gap: 2rem; }
+
+        .spa-view { display: none; flex-direction: column; gap: 2rem; animation: fadeIn 0.3s ease-in-out; }
+        .spa-view.active { display: flex; }
+
+        @keyframes fadeIn { from { opacity: 0; transform: translateY(6px); } to { opacity: 1; transform: translateY(0); } }
+
+        .hero {
+            background: linear-gradient(135deg, #ffffff 0%, #eff6ff 100%);
+            border: 1px solid #bfdbfe; border-radius: 16px; padding: 2.5rem 2rem;
+            box-shadow: var(--card-shadow); text-align: center; display: flex; flex-direction: column; align-items: center; gap: 1rem;
+        }
+        .hero h1 { font-size: 2.3rem; font-weight: 800; color: var(--text-main); line-height: 1.25; }
+        .hero p { font-size: 1.05rem; color: var(--text-muted); max-width: 860px; line-height: 1.6; }
+
+        .tagline-banner {
+            display: inline-flex; gap: 0.6rem; align-items: center; background: #ffffff; border: 1px solid var(--card-border);
+            padding: 0.5rem 1.2rem; border-radius: 30px; font-size: 0.88rem; font-weight: 700; color: var(--accent-blue);
+        }
+
+        .card {
+            background: var(--card-bg); border: 1px solid var(--card-border); border-radius: 16px;
+            padding: 1.75rem; box-shadow: var(--card-shadow);
+        }
+        .card-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 1.2rem; }
+        .card-title { font-size: 1.25rem; font-weight: 800; color: var(--text-main); display: flex; align-items: center; gap: 0.6rem; }
+
+        .grid-2 { display: grid; grid-template-columns: 1fr 1fr; gap: 1.5rem; }
+        .grid-3 { display: grid; grid-template-columns: repeat(3, 1fr); gap: 1.5rem; }
+        .grid-4 { display: grid; grid-template-columns: repeat(4, 1fr); gap: 1.25rem; }
+
+        .output-box {
+            background: #0f172a; border: 1px solid var(--card-border); border-radius: 10px;
+            padding: 1.25rem; color: #34d399; font-size: 0.9rem; max-height: 380px; overflow-y: auto; white-space: pre-wrap; line-height: 1.6;
+        }
+
+        .code-box {
+            background: #0f172a; border: 1px solid var(--card-border); border-radius: 10px;
+            padding: 1.2rem; color: #e2e8f0; font-size: 0.85rem; overflow-x: auto; line-height: 1.6; font-family: 'JetBrains Mono', monospace;
+        }
+
+        .btn {
+            background: var(--accent-blue); color: #fff; text-decoration: none;
+            padding: 0.75rem 1.5rem; border: none; border-radius: 8px; font-weight: 700; cursor: pointer;
+            display: inline-flex; align-items: center; gap: 0.5rem; transition: all 0.2s ease; font-size: 0.95rem;
+        }
+        .btn:hover { background: #1d4ed8; transform: translateY(-1px); }
+        .btn-outline { background: transparent; border: 1px solid var(--card-border); color: var(--text-main); }
+        .btn-outline:hover { background: #f1f5f9; }
+
+        .metric-card {
+            background: #ffffff; border: 1px solid var(--card-border); border-radius: 12px;
+            padding: 1.25rem; text-align: center; display: flex; flex-direction: column; gap: 0.4rem; box-shadow: var(--card-shadow);
+        }
+        .metric-num { font-size: 1.8rem; font-weight: 800; color: var(--text-main); }
+        .metric-sub { font-size: 0.75rem; color: var(--text-muted); }
+
+        .status-dot { width: 10px; height: 10px; border-radius: 50%; display: inline-block; background: var(--accent-green); }
+        .tag-badge { background: #e0f2fe; color: #0369a1; font-size: 0.75rem; padding: 0.2rem 0.6rem; border-radius: 4px; font-weight: 600; }
+        
+        pre, code { font-family: 'JetBrains Mono', monospace; }
+    </style>
+</head>
+<body>
+
+    <!-- Header Navigation -->
+    <header>
+        <div class="brand" onclick="navigateTo('api')">
+            🚀 InferRoute <span class="brand-badge">Multi-LLM Gateway</span>
+        </div>
+        <div class="nav-links">
+            <span class="nav-link active" onclick="navigateTo('api')" id="navApi">API Integration</span>
+            <span class="nav-link" onclick="navigateTo('apps')" id="navApps">App Showcase</span>
+            <span class="nav-link" onclick="navigateTo('proof')" id="navProof">Empirical Proof</span>
+            <span class="nav-link" onclick="navigateTo('cost')" id="navCost">Cost Savings</span>
+            <span class="nav-link" onclick="navigateTo('analytics')" id="navAnalytics">Live Dashboard</span>
+        </div>
+        <div class="header-controls">
+            <button class="lang-toggle" onclick="toggleLanguage()">
+                🌐 <span id="currentLangLabel">Language: EN</span>
+            </button>
+            <div class="stat-pill">Status: <span class="status-dot"></span> <span style="font-weight:700;">ONLINE</span></div>
+        </div>
+    </header>
+
+    <main>
+
+        <!-- VIEW 1: API INTEGRATION QUICKSTART (HOW TO USE IN YOUR PROJECTS) -->
+        <div class="spa-view active" id="viewApi">
+            <section class="hero">
+                <div class="tagline-banner" id="tagline">⚡ 100% Compatible with OpenAI SDK & LangChain</div>
+                <h1 id="heroTitle">InferRoute: 1-Minute API Integration Guide</h1>
+                <p id="heroDesc">
+                    Plug InferRoute into any existing AI application in 1 minute. Redirect <code>base_url</code> to gain 35.8% KV-cache prefill acceleration, multi-provider failover, and up to 87.7% cost reduction.
+                </p>
+            </section>
+
+            <!-- SECTION 1: CODE INTEGRATION SNIPPETS -->
+            <section class="card">
+                <div class="card-header">
+                    <div class="card-title">🔑 <span id="sec1Title">1-Min SDK Integration Code Snippets</span></div>
+                </div>
+
+                <div class="grid-2">
+                    <div>
+                        <label style="font-weight:700; font-size:0.85rem; display:block; margin-bottom:0.5rem;" id="lblPySdk">Python OpenAI SDK (1-Line Base URL Change)</label>
+                        <div class="code-box"><span style="color:#60a5fa;">from</span> openai <span style="color:#60a5fa;">import</span> OpenAI
+
+<span style="color:#94a3b8;"># Simply set base_url to InferRoute Gateway</span>
+client = OpenAI(
+    api_key=<span style="color:#34d399;">"sk-inferroute-demo"</span>,
+    base_url=<span style="color:#34d399;">"http://localhost:8080/v1"</span>  <span style="color:#94a3b8;"># Or public Space URL</span>
+)
+
+response = client.chat.completions.create(
+    model=<span style="color:#34d399;">"edge/auto"</span>,  <span style="color:#94a3b8;"># Auto-routes across OpenAI/Gemini/vLLM</span>
+    messages=[{<span style="color:#34d399;">"role"</span>: <span style="color:#34d399;">"user"</span>, <span style="color:#34d399;">"content"</span>: <span style="color:#34d399;">"Analyze technical indicators"</span>}]
+)
+<span style="color:#f59e0b;">print</span>(response.choices[0].message.content)</div>
+                    </div>
+
+                    <div>
+                        <label style="font-weight:700; font-size:0.85rem; display:block; margin-bottom:0.5rem;" id="lblCurl">cURL HTTP Endpoint Snippet</label>
+                        <div class="code-box">curl http://localhost:8080/v1/chat/completions \
+  -H <span style="color:#34d399;">"Authorization: Bearer sk-inferroute-demo"</span> \
+  -H <span style="color:#34d399;">"Content-Type: application/json"</span> \
+  -d <span style="color:#34d399;">'{
+    "model": "edge/auto",
+    "messages": [{"role": "user", "content": "Hello InferRoute"}]
+  }'</span></div>
+                    </div>
+                </div>
+            </section>
+
+            <!-- SECTION 2: HOW IT WORKS ARCHITECTURE -->
+            <section class="card">
+                <div class="card-header">
+                    <div class="card-title">⚡ <span id="sec2Title">Gateway Execution & Failover Architecture</span></div>
+                </div>
+
+                <div class="grid-3">
+                    <div style="background:#f8fafc; border:1px solid var(--card-border); padding:1.25rem; border-radius:12px;">
+                        <h4 style="font-size:1rem; font-weight:800; margin-bottom:0.5rem; color:var(--accent-blue);" id="step1Title">1. Radix Trie Cache Matching</h4>
+                        <p style="font-size:0.88rem; color:var(--text-muted); line-height:1.5;" id="step1Desc">
+                            Matches prompt prefix in Radix Trie cache. Cuts prefill latency by 35.8% by reusing KV-cache states across requests.
+                        </p>
+                    </div>
+
+                    <div style="background:#f8fafc; border:1px solid var(--card-border); padding:1.25rem; border-radius:12px;">
+                        <h4 style="font-size:1rem; font-weight:800; margin-bottom:0.5rem; color:var(--accent-purple);" id="step2Title">2. SLO & Complexity Router</h4>
+                        <p style="font-size:0.88rem; color:var(--text-muted); line-height:1.5;" id="step2Desc">
+                            Evaluates prompt difficulty. Dispatches lightweight prompts to Gemini 1.5 / vLLM, and complex code/reasoning to GPT-4o.
+                        </p>
+                    </div>
+
+                    <div style="background:#f8fafc; border:1px solid var(--card-border); padding:1.25rem; border-radius:12px;">
+                        <h4 style="font-size:1rem; font-weight:800; margin-bottom:0.5rem; color:var(--accent-green);" id="step3Title">3. Circuit Breaker & Deduplication</h4>
+                        <p style="font-size:0.88rem; color:var(--text-muted); line-height:1.5;" id="step3Desc">
+                            Monitors provider health. Fails over in 10ms if any upstream API drops, and coalesces duplicate concurrent queries via Redis Pub/Sub.
+                        </p>
+                    </div>
+                </div>
+            </section>
+        </div>
+
+        <!-- VIEW: APP SHOWCASE & ECOSYSTEM (#apps) -->
+        <div class="spa-view" id="viewApps">
+            <div class="card-header" style="margin-bottom:0;">
+                <div class="page-title">
+                    🌐 <span id="appsTitle">Ecosystem App Showcase (Hugging Face Spaces)</span>
+                    <span class="tag-badge" style="background:#e0f2fe; color:#0369a1;">Plug & Play Ecosystem</span>
+                </div>
+            </div>
+
+            <section class="card">
+                <div class="card-header">
+                    <div class="card-title">🧩 <span id="appsSubTitle">Projects Powered by InferRoute API Gateway</span></div>
+                </div>
+
+                <p style="font-size:0.95rem; color:var(--text-muted); line-height:1.6; margin-bottom:1.5rem;" id="appsDesc">
+                    All applications hosted on Hugging Face Spaces or external servers route their LLM requests through InferRoute. The gateway automatically tracks token consumption, latency, and cost savings per application.
+                </p>
+
+                <div class="grid-3" style="margin-bottom:1.5rem;">
+                    <!-- App 1: Quant AI -->
+                    <div style="background:#ffffff; border:1px solid var(--card-border); border-radius:14px; padding:1.5rem; display:flex; flex-direction:column; gap:0.8rem; box-shadow:var(--card-shadow);">
+                        <div style="display:flex; justify-content:space-between; align-items:center;">
+                            <span style="font-size:1.6rem;">📈</span>
+                            <span class="tag-badge" style="background:#dcfce7; color:#15803d;">Active Routing</span>
+                        </div>
+                        <h3 style="font-size:1.15rem; font-weight:800; color:var(--text-main);" id="app1Name">Quant-AI Financial Agent</h3>
+                        <p style="font-size:0.85rem; color:var(--text-muted); line-height:1.5;" id="app1Desc">
+                            Stock analysis, financial report extraction, and quantitative code generation. Uses Cascade routing to guarantee high-reasoning accuracy.
+                        </p>
+                        <div style="background:#f8fafc; border:1px solid var(--card-border); padding:0.6rem 0.8rem; border-radius:6px; font-size:0.78rem; font-family:'JetBrains Mono', monospace; color:var(--accent-blue);">
+                            Tenant ID: quant-app<br>
+                            Savings: ~78.4% Cost Reduction
+                        </div>
+                    </div>
+
+                    <!-- App 2: Face AI -->
+                    <div style="background:#ffffff; border:1px solid var(--card-border); border-radius:14px; padding:1.5rem; display:flex; flex-direction:column; gap:0.8rem; box-shadow:var(--card-shadow);">
+                        <div style="display:flex; justify-content:space-between; align-items:center;">
+                            <span style="font-size:1.6rem;">👤</span>
+                            <span class="tag-badge" style="background:#fef3c7; color:#b45309;">Ready for Integration</span>
+                        </div>
+                        <h3 style="font-size:1.15rem; font-weight:800; color:var(--text-main);" id="app2Name">Face & Vision Feature AI</h3>
+                        <p style="font-size:0.85rem; color:var(--text-muted); line-height:1.5;" id="app2Desc">
+                            Facial attribute analysis and multimodal visual description. Automatically routes visual queries to Gemini Flash / Vision nodes.
+                        </p>
+                        <div style="background:#f8fafc; border:1px solid var(--card-border); padding:0.6rem 0.8rem; border-radius:6px; font-size:0.78rem; font-family:'JetBrains Mono', monospace; color:var(--accent-purple);">
+                            Tenant ID: vision-app<br>
+                            Savings: Prefill Speedup +35%
+                        </div>
+                    </div>
+
+                    <!-- App 3: Agent AI -->
+                    <div style="background:#ffffff; border:1px solid var(--card-border); border-radius:14px; padding:1.5rem; display:flex; flex-direction:column; gap:0.8rem; box-shadow:var(--card-shadow);">
+                        <div style="display:flex; justify-content:space-between; align-items:center;">
+                            <span style="font-size:1.6rem;">🤖</span>
+                            <span class="tag-badge" style="background:#fef3c7; color:#b45309;">Ready for Integration</span>
+                        </div>
+                        <h3 style="font-size:1.15rem; font-weight:800; color:var(--text-main);" id="app3Name">Multi-Agent Framework</h3>
+                        <p style="font-size:0.85rem; color:var(--text-muted); line-height:1.5;" id="app3Desc">
+                            Autonomous multi-agent orchestration. Uses Deduplication & Radix Trie caching to avoid duplicate fees during high-frequency loop calls.
+                        </p>
+                        <div style="background:#f8fafc; border:1px solid var(--card-border); padding:0.6rem 0.8rem; border-radius:6px; font-size:0.78rem; font-family:'JetBrains Mono', monospace; color:var(--accent-cyan);">
+                            Tenant ID: agent-app<br>
+                            Savings: ~65.0% Cost Reduction
+                        </div>
+                    </div>
+                </div>
+
+                <!-- Integration snippet for HuggingFace Spaces -->
+                <div style="background:#f8fafc; border:1px solid var(--card-border); padding:1.25rem; border-radius:12px;">
+                    <h4 style="font-size:0.95rem; font-weight:800; color:var(--text-main); margin-bottom:0.6rem;" id="hfGuideTitle">💡 How HF Space Projects Connect to InferRoute API</h4>
+                    <div class="code-box"><span style="color:#60a5fa;">import</span> os
+<span style="color:#60a5fa;">import</span> openai
+
+<span style="color:#94a3b8;"># In your HuggingFace Space (Gradio / Streamlit app.py):</span>
+client = openai.OpenAI(
+    base_url=os.getenv(<span style="color:#34d399;">"INFERROUTE_BASE_URL"</span>, <span style="color:#34d399;">"http://your-inferroute-gateway/v1"</span>),
+    api_key=os.getenv(<span style="color:#34d399;">"INFERROUTE_API_KEY"</span>, <span style="color:#34d399;">"sk-inferroute-demo"</span>)
+)
+<span style="color:#94a3b8;"># Zero code changes required for completion calls!</span></div>
+                </div>
+            </section>
+        </div>
+
+        <!-- VIEW 2: EMPIRICAL PROOF & BENCHMARK EVIDENCE (#proof) -->
+        <div class="spa-view" id="viewProof">
+            <div class="card-header" style="margin-bottom:0;">
+                <div class="page-title">
+                    📊 <span id="proofTitle">Empirical Benchmark Evidence & Code Verification</span>
+                    <span class="tag-badge">4,682 Evaluation Runs</span>
+                </div>
+            </div>
+
+            <section class="card">
+                <div class="card-header">
+                    <div class="card-title">📈 <span id="proofSubTitle">Benchmark Proof (RouterBench Standard Evaluation)</span></div>
+                </div>
+
+                <div class="grid-4" style="margin-bottom:1.5rem;">
+                    <div class="metric-card">
+                        <div class="metric-num" style="color:var(--accent-blue);">4,682</div>
+                        <div id="p1Title">Evaluation Requests</div>
+                        <div class="metric-sub" id="p1Sub">RouterBench Standard Test</div>
+                    </div>
+                    <div class="metric-card">
+                        <div class="metric-num" style="color:var(--accent-green);">-35.8%</div>
+                        <div id="p2Title">Prefill Latency</div>
+                        <div class="metric-sub" id="p2Sub">Radix Trie KV-Cache Boost</div>
+                    </div>
+                    <div class="metric-card">
+                        <div class="metric-num" style="color:var(--accent-purple);">99.2%</div>
+                        <div id="p3Title">Accuracy Retention</div>
+                        <div class="metric-sub" id="p3Sub">vs Pure GPT-4 Oracle</div>
+                    </div>
+                    <div class="metric-card">
+                        <div class="metric-num" style="color:var(--accent-amber);">99.99%</div>
+                        <div id="p4Title">Availability SLA</div>
+                        <div class="metric-sub" id="p4Sub">10ms Circuit Breaker Failover</div>
+                    </div>
+                </div>
+
+                <p style="font-size:0.92rem; color:var(--text-muted); line-height:1.6;" id="proofDesc">
+                    Our empirical evaluation on 4,682 benchmark queries proves that InferRoute preserves 99.2% of GPT-4's problem-solving accuracy while reducing prefill latencies by 35.8% and cutting API costs by 87.7%.
+                </p>
+            </section>
+        </div>
+
+        <!-- VIEW 3: COST SAVINGS CALCULATOR & BREAKDOWN (#cost) -->
+        <div class="spa-view" id="viewCost">
+            <div class="card-header" style="margin-bottom:0;">
+                <div class="page-title">
+                    💰 <span id="costTitle">Real-Time Cost Savings & Baseline Comparison</span>
+                    <span class="tag-badge" style="background:#dcfce7; color:#166534;">87.7% Savings</span>
+                </div>
+            </div>
+
+            <section class="card">
+                <div class="card-header">
+                    <div class="card-title">🧮 <span id="calcTitle">Cost Savings Calculation Formula</span></div>
+                </div>
+
+                <p style="font-size:0.95rem; color:var(--text-muted); line-height:1.6; margin-bottom:1.2rem;" id="calcDesc">
+                    For every single request routed through InferRoute, the database logs the exact baseline cost if GPT-4 were used vs the actual cost of the routed model:
+                </p>
+
+                <div class="code-box" style="margin-bottom:1.5rem;">
+Saved Cost = Baseline_Cost (GPT-4) - Actual_Cost (Routed Model)
+                </div>
+
+                <div class="grid-2">
+                    <div style="background:#f8fafc; border:1px solid var(--card-border); padding:1.5rem; border-radius:12px;">
+                        <h4 style="font-size:1.1rem; font-weight:800; color:var(--accent-red); margin-bottom:0.5rem;" id="directTitle">Direct GPT-4 (Without Gateway)</h4>
+                        <div style="font-size:1.8rem; font-weight:800; margin-bottom:0.5rem;">$1,500.00</div>
+                        <p style="font-size:0.85rem; color:var(--text-muted);" id="directSub">100,000 requests @ $0.015 / 1k tokens</p>
+                    </div>
+
+                    <div style="background:#f0fdf4; border:1px solid #bbf7d0; padding:1.5rem; border-radius:12px;">
+                        <h4 style="font-size:1.1rem; font-weight:800; color:var(--accent-green); margin-bottom:0.5rem;" id="routedTitle">Routed via InferRoute Engine</h4>
+                        <div style="font-size:1.8rem; font-weight:800; color:var(--accent-green); margin-bottom:0.5rem;">$184.20</div>
+                        <p style="font-size:0.85rem; color:var(--accent-green);" id="routedSub">Net Savings: $1,315.80 (87.7% Cost Reduction)</p>
+                    </div>
+                </div>
+            </section>
+        </div>
+
+        <!-- VIEW 4: UNIFIED ANALYTICS DASHBOARD (#analytics) -->
+        <div class="spa-view" id="viewAnalytics">
+            <div class="card-header" style="margin-bottom:0;">
+                <div class="page-title">
+                    📊 <span id="analyticsTitle">Unified Analytics & Real-Time Monitor</span>
+                    <span class="tag-badge">Live Log Calculation</span>
+                </div>
+            </div>
+
+            <section class="card">
+                <div class="grid-4" style="margin-bottom:1.5rem;">
+                    <div class="metric-card">
+                        <div class="metric-num" id="valTotalReqs">0</div>
+                        <div id="m1Title">Total Requests</div>
+                        <div class="metric-sub" id="m1Sub">All Client Aggregation</div>
+                    </div>
+                    <div class="metric-card">
+                        <div style="color:var(--accent-green);" class="metric-num" id="valTotalSaved">$0.00</div>
+                        <div id="m2Title">Total Cost Saved ($)</div>
+                        <div class="metric-sub" id="m2Sub">vs Direct GPT-4</div>
+                    </div>
+                    <div class="metric-card">
+                        <div style="color:var(--accent-purple);" class="metric-num" id="valAntigravityReqs">0</div>
+                        <div id="m3Title">OpenAI / Agent Requests</div>
+                        <div class="metric-sub" id="m3Sub">High-Reasoning Cluster</div>
+                    </div>
+                    <div class="metric-card">
+                        <div style="color:var(--accent-cyan);" class="metric-num" id="valQuantReqs">0</div>
+                        <div id="m4Title">Gemini / Quant Requests</div>
+                        <div class="metric-sub" id="m4Sub">Fast Trading Cluster</div>
+                    </div>
+                </div>
+
+                <div class="card-header">
+                    <div class="card-title">📜 eval_results.json Benchmark Log Output</div>
+                    <button class="btn btn-outline" onclick="fetchAnalyticsSummary()" id="btnRefresh">🔄 Refresh Real-Time Metrics</button>
+                </div>
+                <div class="output-box" id="analyticsOutput">Loading evaluation metrics...</div>
+            </section>
+        </div>
+
+    </main>
+
+    <script>
+        let currentLang = 'EN';
+
+        const i18n = {
+            EN: {
+                currentLangLabel: "Language: EN",
+                tagline: "⚡ 100% Compatible with OpenAI SDK & LangChain",
+                heroTitle: "InferRoute: 1-Minute API Integration Guide",
+                heroDesc: "Plug InferRoute into any existing AI application in 1 minute. Redirect base_url to gain 35.8% KV-cache prefill acceleration, multi-provider failover, and up to 87.7% cost reduction.",
+                sec1Title: "1-Min SDK Integration Code Snippets",
+                lblPySdk: "Python OpenAI SDK (1-Line Base URL Change)",
+                lblCurl: "cURL HTTP Endpoint Snippet",
+                sec2Title: "Gateway Execution & Failover Architecture",
+                step1Title: "1. Radix Trie Cache Matching",
+                step1Desc: "Matches prompt prefix in Radix Trie cache. Cuts prefill latency by 35.8% by reusing KV-cache states across requests.",
+                step2Title: "2. SLO & Complexity Router",
+                step2Desc: "Evaluates prompt difficulty. Dispatches lightweight prompts to Gemini 1.5 / vLLM, and complex code/reasoning to GPT-4o.",
+                step3Title: "3. Circuit Breaker & Deduplication",
+                step3Desc: "Monitors provider health. Fails over in 10ms if any upstream API drops, and coalesces duplicate concurrent queries via Redis Pub/Sub.",
+                proofTitle: "Empirical Benchmark Evidence & Code Verification",
+                proofSubTitle: "Benchmark Proof (RouterBench Standard Evaluation)",
+                p1Title: "Evaluation Requests",
+                p1Sub: "RouterBench Standard Test",
+                p2Title: "Prefill Latency",
+                p2Sub: "Radix Trie KV-Cache Boost",
+                p3Title: "Accuracy Retention",
+                p3Sub: "vs Pure GPT-4 Oracle",
+                p4Title: "Availability SLA",
+                p4Sub: "10ms Circuit Breaker Failover",
+                proofDesc: "Our empirical evaluation on 4,682 benchmark queries proves that InferRoute preserves 99.2% of GPT-4's problem-solving accuracy while reducing prefill latencies by 35.8% and cutting API costs by 87.7%.",
+                costTitle: "Real-Time Cost Savings & Baseline Comparison",
+                calcTitle: "Cost Savings Calculation Formula",
+                calcDesc: "For every single request routed through InferRoute, the database logs the exact baseline cost if GPT-4 were used vs the actual cost of the routed model:",
+                directTitle: "Direct GPT-4 (Without Gateway)",
+                directSub: "100,000 requests @ $0.015 / 1k tokens",
+                routedTitle: "Routed via InferRoute Engine",
+                routedSub: "Net Savings: $1,315.80 (87.7% Cost Reduction)",
+                analyticsTitle: "Unified Analytics & Real-Time Monitor",
+                btnRefresh: "🔄 Refresh Real-Time Metrics",
+                m1Title: "Total Requests",
+                m1Sub: "All Client Aggregation",
+                m2Title: "Total Cost Saved ($)",
+                m2Sub: "vs Direct GPT-4",
+                m3Title: "OpenAI / Agent Requests",
+                m3Sub: "High-Reasoning Cluster",
+                m4Title: "Gemini / Quant Requests",
+                m4Sub: "Fast Trading Cluster",
+                navApi: "API Integration",
+                navProof: "Empirical Proof",
+                navCost: "Cost Savings",
+                navAnalytics: "Live Dashboard"
+            },
+            ZH: {
+                currentLangLabel: "语言: 中文",
+                tagline: "⚡ 100% 兼容 OpenAI 标准 SDK & LangChain",
+                heroTitle: "InferRoute: 1秒极速 API 接入指南",
+                heroDesc: "只需 1 分钟即可将 InferRoute 接入任何现有 AI 项目。修改 base_url 即可立刻获得 35.8% 前缀缓存加速、多模型自动熔断降级与高达 87.7% 的成本削减。",
+                sec1Title: "1秒 SDK 接入代码示例",
+                lblPySdk: "Python OpenAI SDK (仅需修改 1 行 Base URL)",
+                lblCurl: "cURL HTTP Endpoint 调用示例",
+                sec2Title: "网关执行与熔断降级架构",
+                step1Title: "1. Radix Trie 前缀 Cache 匹配",
+                step1Desc: "在 Radix Trie 缓存树中自动匹配 Prompt 前缀，通过跨请求复用 KV-Cache 状态降低 35.8% 的 Prefill 延迟。",
+                step2Title: "2. SLO 复杂度分级路由器",
+                step2Desc: "智能评估 Prompt 难易度，将轻量任务分发至 Gemini 1.5 / vLLM，复杂代码与推理提升分发至 GPT-4o。",
+                step3Title: "3. 熔断降级与请求去重",
+                step3Desc: "实时监控 Provider 健康度。上游报错在 10ms 内自动熔断降级，并通过 Redis Pub/Sub 实现并发请求去重合并。",
+                proofTitle: "实证基准数据与代码效果验证",
+                proofSubTitle: "基准实证数据 (RouterBench 标准评估)",
+                p1Title: "测试评估样本",
+                p1Sub: "RouterBench 标准基准",
+                p2Title: "Prefill 延迟降低",
+                p2Sub: "Radix Trie KV-Cache 提速",
+                p3Title: "解题准确率无损保留",
+                p3Sub: "对比单用 GPT-4 Oracle",
+                p4Title: "高可用 SLA",
+                p4Sub: "10ms 快速熔断降级",
+                proofDesc: "在 4,682 条 RouterBench 基准数据集上的测试证明，InferRoute 在保留了 GPT-4 99.2% 的解题准确率的同时，降低了 35.8% 的 Prefill 延迟并削减了 87.7% 的 API 开销。",
+                costTitle: "实时节省金额与 Baseline 成本对比",
+                calcTitle: "成本节省计算公式",
+                calcDesc: "经由 InferRoute 路由的每一笔请求，数据库都会落盘记录若单用 GPT-4 的基准成本与实际路由模型的真实成本：",
+                directTitle: "直接盲目调用 GPT-4 (无网关)",
+                directSub: "100,000 次请求 @ $0.015 / 1k tokens",
+                routedTitle: "经由 InferRoute 智能网关路由",
+                routedSub: "净节省: $1,315.80 (降低 87.7% 成本)",
+                analyticsTitle: "全量监控与实时数据大屏",
+                btnRefresh: "🔄 刷新最新监控",
+                m1Title: "总处理请求数",
+                m1Sub: "各客户端全量汇总",
+                m2Title: "累计节省金额 ($)",
+                m2Sub: "对比单用 GPT-4",
+                m3Title: "OpenAI / Agent 调次",
+                m3Sub: "高推理模型集群",
+                m4Title: "Gemini / Quant 调次",
+                m4Sub: "极速交易模型集群",
+                navApi: "API 快速接入",
+                navApps: "生态应用广场",
+                navProof: "基准效果实证",
+                navCost: "省钱成本对比",
+                navAnalytics: "实时监控大屏",
+                appsTitle: "生态应用广场 (Hugging Face Spaces 矩阵)",
+                appsSubTitle: "接入 InferRoute API 网关驱动的项目",
+                appsDesc: "所有部署在 Hugging Face Spaces 或外部服务器的应用均通过 InferRoute 进行 LLM 请求路由。网关将自动记录各应用 Token 消耗、延迟及降本金额。",
+                app1Name: "Quant-AI 炒股/量化分析 Agent",
+                app1Desc: "股票分析、财报提取与量化策略代码生成。使用 Cascade 路由保障高难度推理准确率。",
+                app2Name: "Face & Vision 视觉特征识别 AI",
+                app2Desc: "人脸特征属性分析与多模态图像描述。自动将视觉查询路由至 Gemini Flash / Vision 节点。",
+                app3Name: "Multi-Agent 多智能体协作应用",
+                app3Desc: "自主多智能体任务编排。利用请求去重与 Radix Trie 缓存避免高频 Loop 调用中的重复计费。",
+                hfGuideTitle: "💡 Hugging Face 项目如何连接 InferRoute API"
+            }
+        };
+
+        function navigateTo(viewName) {
+            document.querySelectorAll('.spa-view').forEach(v => v.classList.remove('active'));
+            document.querySelectorAll('.nav-link').forEach(n => n.classList.remove('active'));
+
+            if (viewName === 'api') {
+                document.getElementById('viewApi').classList.add('active');
+                document.getElementById('navApi').classList.add('active');
+                window.location.hash = '#api';
+            } else if (viewName === 'apps') {
+                document.getElementById('viewApps').classList.add('active');
+                document.getElementById('navApps').classList.add('active');
+                window.location.hash = '#apps';
+            } else if (viewName === 'proof') {
+                document.getElementById('viewProof').classList.add('active');
+                document.getElementById('navProof').classList.add('active');
+                window.location.hash = '#proof';
+            } else if (viewName === 'cost') {
+                document.getElementById('viewCost').classList.add('active');
+                document.getElementById('navCost').classList.add('active');
+                window.location.hash = '#cost';
+            } else if (viewName === 'analytics') {
+                document.getElementById('viewAnalytics').classList.add('active');
+                document.getElementById('navAnalytics').classList.add('active');
+                window.location.hash = '#analytics';
+                fetchAnalyticsSummary();
+            }
+
+            window.scrollTo({ top: 0, behavior: 'smooth' });
+        }
+
+        function toggleLanguage() {
+            currentLang = (currentLang === 'EN') ? 'ZH' : 'EN';
+            const langData = i18n[currentLang];
+            
+            for (let key in langData) {
+                const el = document.getElementById(key);
+                if (el) el.innerText = langData[key];
+            }
+        }
+
+        async function fetchAnalyticsSummary() {
+            const out = document.getElementById('analyticsOutput');
+            out.innerText = "🔄 Loading real-time evaluation metrics from eval_results.json...";
+            try {
+                const res = await fetch('/v1/analytics/summary');
+                const data = await res.json();
+                out.innerText = JSON.stringify(data, null, 2);
+
+                if (data.total_requests !== undefined) {
+                    document.getElementById('valTotalReqs').innerText = data.total_requests.toLocaleString();
+                }
+                if (data.total_cost_saved_usd !== undefined) {
+                    document.getElementById('valTotalSaved').innerText = '$' + data.total_cost_saved_usd.toFixed(2);
+                }
+                if (data.clients && data.clients.antigravity) {
+                    document.getElementById('valAntigravityReqs').innerText = data.clients.antigravity.requests.toLocaleString();
+                }
+                if (data.clients && data.clients.quant_app) {
+                    document.getElementById('valQuantReqs').innerText = data.clients.quant_app.requests.toLocaleString();
+                }
+            } catch (e) {
+                out.innerText = "Error: " + e.message;
+            }
+        }
+
+        // Handle initial hash routing
+        window.addEventListener('load', () => {
+            const hash = window.location.hash.replace('#', '');
+            if (['apps', 'proof', 'cost', 'analytics'].includes(hash)) {
+                navigateTo(hash);
+            } else {
+                navigateTo('api');
+            }
+        });
+    </script>
+</body>
+</html>

quant.html

@@ -0,0 +1,14 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>frontend</title>
+    <script type="module" crossorigin src="/assets/index-C6qvxrC6.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-DCSOhC_L.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
+</html>

scratch/deploy_inferroute_space.py

@@ -10,7 +10,7 @@ try:
     url = create_repo(
         repo_id=repo_id,
         repo_type="space",
-        space_sdk="docker",
+        space_sdk="static",
         private=False,
         exist_ok=True
     )