getagentbox/calibration-lab.html at master · sauravbhattacharya001/getagentbox · GitHub

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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>AgentBox - Agent Calibration Lab</title>
    <meta name="description" content="Interactive demo showing AI agent confidence calibration. Visualize reliability diagrams, Brier scores, overconfidence detection, and calibration adjustment in real-time.">
    <style>
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            --radius-sm: 8px;
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        .header h1 { font-size: 18px; font-weight: 600; }
        .container {
            display: grid;
            grid-template-columns: 1fr 1fr;
            gap: 24px;
            max-width: 1400px;
            margin: 0 auto;
            padding: 24px 32px;
        }
        @media (max-width: 900px) { .container { grid-template-columns: 1fr; } }
        .full-width { grid-column: 1 / -1; }
        .panel {
            background: var(--surface);
            border: 1px solid var(--border);
            border-radius: var(--radius);
            padding: 24px;
        }
        .panel h2 {
            font-size: 16px;
            font-weight: 600;
            margin-bottom: 16px;
            display: flex;
            align-items: center;
            gap: 8px;
        }
        .btn {
            padding: 8px 16px;
            border: 1px solid var(--border);
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            cursor: pointer;
            font-size: 13px;
            transition: all 0.2s;
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        .controls {
            display: flex;
            gap: 8px;
            flex-wrap: wrap;
            margin-bottom: 16px;
        }
        canvas {
            width: 100%;
            height: 300px;
            border-radius: var(--radius-sm);
            background: var(--surface-2);
        }
        .metric-grid {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(140px, 1fr));
            gap: 12px;
            margin-bottom: 16px;
        }
        .metric-card {
            background: var(--surface-2);
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            border-radius: var(--radius-sm);
            padding: 12px;
            text-align: center;
        }
        .metric-card .value {
            font-size: 24px;
            font-weight: 700;
            color: var(--accent);
        }
        .metric-card .label {
            font-size: 11px;
            color: var(--text-muted);
            text-transform: uppercase;
            letter-spacing: 0.5px;
            margin-top: 4px;
        }
        .prediction-feed {
            max-height: 320px;
            overflow-y: auto;
            display: flex;
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            gap: 8px;
        }
        .prediction-item {
            display: flex;
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            gap: 10px;
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            border: 1px solid var(--border);
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            border-radius: 4px;
            transition: width 0.3s;
        }
        .prediction-item .outcome {
            width: 20px;
            height: 20px;
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            display: flex;
            align-items: center;
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            font-size: 11px;
        }
        .outcome-correct { background: var(--green-bg); color: var(--green); }
        .outcome-wrong { background: var(--red-bg); color: var(--red); }
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        }
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            border-radius: 50%;
            border: 12px solid var(--surface-3);
            position: relative;
            display: flex;
            align-items: center;
            justify-content: center;
            flex-direction: column;
        }
        .gauge-ring .score { font-size: 36px; font-weight: 700; }
        .gauge-ring .sub { font-size: 11px; color: var(--text-muted); }
        .insight-list {
            list-style: none;
            display: flex;
            flex-direction: column;
            gap: 8px;
        }
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            padding: 10px 12px;
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        .insight-list li.warn { border-left-color: var(--orange); }
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        .insight-list li.good { border-left-color: var(--green); }
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            padding-bottom: 8px;
        }
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            padding: 6px 12px;
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            color: var(--text-muted);
            margin-bottom: 4px;
        }
        .slider-group input[type="range"] {
            width: 100%;
            accent-color: var(--accent);
        }
        .hidden { display: none !important; }
    </style>
</head>
<body>
    <div class="header">
        <a href="index.html">← AgentBox</a>
        <h1>🎯 Agent Calibration Lab</h1>
    </div>

    <div class="container">
        <!-- Top controls -->
        <div class="panel full-width">
            <h2>⚙️ Simulation Controls</h2>
            <div class="controls">
                <button class="btn btn-primary" id="btn-run">▶ Run Simulation</button>
                <button class="btn" id="btn-pause">⏸ Pause</button>
                <button class="btn" id="btn-reset">↺ Reset</button>
                <span style="border-left:1px solid var(--border);margin:0 8px"></span>
                <button class="btn active" data-preset="overconfident">Overconfident Agent</button>
                <button class="btn" data-preset="underconfident">Underconfident Agent</button>
                <button class="btn" data-preset="wellcalibrated">Well-Calibrated</button>
                <button class="btn" data-preset="random">Random Agent</button>
                <button class="btn" data-preset="adaptive">Self-Correcting</button>
            </div>
            <div class="metric-grid">
                <div class="metric-card"><div class="value" id="m-brier">—</div><div class="label">Brier Score</div></div>
                <div class="metric-card"><div class="value" id="m-ece">—</div><div class="label">ECE</div></div>
                <div class="metric-card"><div class="value" id="m-accuracy">—</div><div class="label">Accuracy</div></div>
                <div class="metric-card"><div class="value" id="m-confidence">—</div><div class="label">Avg Confidence</div></div>
                <div class="metric-card"><div class="value" id="m-overconf">—</div><div class="label">Overconf. Rate</div></div>
                <div class="metric-card"><div class="value" id="m-predictions">0</div><div class="label">Predictions</div></div>
            </div>
        </div>

        <!-- Reliability Diagram -->
        <div class="panel">
            <h2>📊 Reliability Diagram</h2>
            <canvas id="reliability-canvas"></canvas>
            <p style="font-size:11px;color:var(--text-muted);margin-top:8px">Perfect calibration = diagonal line. Bars above = overconfident. Below = underconfident.</p>
        </div>

        <!-- Calibration Gauge & Insights -->
        <div class="panel">
            <h2>🎯 Calibration Score</h2>
            <div class="calibration-gauge">
                <div class="gauge-ring" id="gauge">
                    <div class="score" id="gauge-score">—</div>
                    <div class="sub">/ 100</div>
                </div>
            </div>
            <h2 style="margin-top:16px">💡 Autonomous Insights</h2>
            <ul class="insight-list" id="insights">
                <li>Run a simulation to generate insights...</li>
            </ul>
        </div>

        <!-- Prediction Feed -->
        <div class="panel">
            <h2>📡 Live Prediction Feed</h2>
            <div class="prediction-feed" id="feed"></div>
        </div>

        <!-- Calibration Adjustment -->
        <div class="panel">
            <h2>🔧 Calibration Adjustment</h2>
            <div class="tabs">
                <button class="tab active" data-tab="platt">Platt Scaling</button>
                <button class="tab" data-tab="isotonic">Isotonic Regression</button>
                <button class="tab" data-tab="temperature">Temperature Scaling</button>
            </div>
            <div id="tab-platt">
                <p style="font-size:13px;color:var(--text-muted);margin-bottom:12px">Logistic regression recalibration. Learns A and B to map: calibrated = σ(A·logit + B)</p>
                <div class="slider-group">
                    <label><span>Temperature (A)</span><span id="platt-a-val">1.0</span></label>
                    <input type="range" id="platt-a" min="0.1" max="3" step="0.1" value="1.0">
                </div>
                <div class="slider-group">
                    <label><span>Bias (B)</span><span id="platt-b-val">0.0</span></label>
                    <input type="range" id="platt-b" min="-2" max="2" step="0.1" value="0.0">
                </div>
                <button class="btn btn-primary" id="btn-apply-cal" style="margin-top:12px">Apply Calibration</button>
                <button class="btn" id="btn-auto-cal" style="margin-top:12px">🤖 Auto-Calibrate</button>
            </div>
            <div id="tab-isotonic" class="hidden">
                <p style="font-size:13px;color:var(--text-muted);margin-bottom:12px">Non-parametric monotonic mapping from raw confidence to calibrated probability.</p>
                <canvas id="isotonic-canvas" style="height:200px"></canvas>
                <button class="btn btn-primary" id="btn-fit-isotonic" style="margin-top:12px">Fit Isotonic Model</button>
            </div>
            <div id="tab-temperature" class="hidden">
                <p style="font-size:13px;color:var(--text-muted);margin-bottom:12px">Single-parameter temperature scaling: softmax(logits / T)</p>
                <div class="slider-group">
                    <label><span>Temperature T</span><span id="temp-val">1.0</span></label>
                    <input type="range" id="temp-slider" min="0.1" max="5" step="0.1" value="1.0">
                </div>
                <button class="btn btn-primary" id="btn-apply-temp" style="margin-top:12px">Apply Temperature</button>
                <button class="btn" id="btn-optimize-temp" style="margin-top:12px">🤖 Optimize Temperature</button>
            </div>
        </div>

        <!-- Confidence Distribution -->
        <div class="panel full-width">
            <h2>📈 Confidence Distribution & Brier Score Over Time</h2>
            <canvas id="distribution-canvas" style="height:200px"></canvas>
        </div>
    </div>

    <script src="src/calibration-lab.js"></script>
</body>
</html>