3badb259cc
- Integrate apaw_agent_model_research_v3.html as standalone dashboard - Add model-benchmarks.json with 32 agents, 11 scored models, 11 recommendations - Add build-research-dashboard.ts: inject live data into template → standalone HTML - Add rebuild-template.cjs: regenerate template from v3.html source - Add sync-benchmarks-from-yaml.cjs: sync YAML → JSON round-trip - Add sync-model-research.ts: apply recommendation matrix to config files - Add model-benchmarks.schema.json and model-research.schema.json for validation - Add bidirectional-data-flow.md architecture documentation - Add log-execution.cjs pipeline hook - Update capability-index.yaml: add fallback_models, failover_strategy - Update kilo-meta.json, kilo.jsonc, KILO_SPEC.md with synced models - Update evolution.md / research.md / self-evolution.md / evolutionary-sync.md docs - Fix security-auditor.md: quote YAML color (#DC2626) - Fix orchestrator.md: remove duplicate devops-engineer key - Build research-dashboard.html (106KB standalone) + dated archive
1998 lines
66 KiB
HTML
1998 lines
66 KiB
HTML
<!DOCTYPE html>
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<html lang="ru">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>APAW Agent Evolution Dashboard</title>
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<link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&family=Inter:wght@300;400;500;600;700;800&display=swap" rel="stylesheet">
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<style>
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:root {
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--bg-deep: #0a0f1a;
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--bg-panel: #0f1525;
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--bg-card: #141c2e;
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--bg-card-hover: #1a2540;
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--border: #1e2d45;
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--border-bright: #2a4060;
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--text-primary: #e8f1ff;
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--text-secondary: #8ba3c0;
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--text-muted: #5a7090;
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--accent-cyan: #00d4ff;
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--accent-green: #00ff94;
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--accent-orange: #ff9f43;
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--accent-red: #ff4757;
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--accent-purple: #a855f7;
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--accent-blue: #3b82f6;
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--accent-yellow: #facc15;
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--glow-cyan: rgba(0,212,255,0.15);
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--glow-green: rgba(0,255,148,0.1);
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--glow-purple: rgba(168,85,247,0.1);
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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font-family: 'Inter', sans-serif;
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background: var(--bg-deep);
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color: var(--text-primary);
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min-height: 100vh;
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}
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body::before {
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content: '';
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position: fixed;
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inset: 0;
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background:
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radial-gradient(ellipse at 20% 20%, rgba(0,212,255,0.08) 0%, transparent 50%),
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radial-gradient(ellipse at 80% 80%, rgba(168,85,247,0.06) 0%, transparent 50%);
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pointer-events: none;
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z-index: 0;
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}
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.container {
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max-width: 1600px;
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margin: 0 auto;
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padding: 24px 16px;
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position: relative;
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z-index: 1;
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}
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/* Header */
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.header { text-align: center; margin-bottom: 32px; }
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.header h1 {
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font-size: 2.2em;
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font-weight: 800;
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background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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margin-bottom: 8px;
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}
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.header .sub {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.85em;
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color: var(--text-muted);
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}
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.header .meta {
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display: flex;
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justify-content: center;
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gap: 24px;
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margin-top: 12px;
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font-size: 0.8em;
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color: var(--text-secondary);
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}
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/* Tabs */
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.tabs {
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display: flex;
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gap: 4px;
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background: var(--bg-panel);
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border: 1px solid var(--border);
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border-radius: 12px;
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padding: 4px;
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margin-bottom: 24px;
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overflow-x: auto;
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}
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.tab-btn {
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flex: 1;
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min-width: 100px;
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padding: 10px 16px;
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background: none;
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border: none;
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color: var(--text-secondary);
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font-family: 'Inter', sans-serif;
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font-size: 0.85em;
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font-weight: 600;
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border-radius: 8px;
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cursor: pointer;
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transition: all 0.25s;
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white-space: nowrap;
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}
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.tab-btn:hover { color: var(--text-primary); background: var(--bg-card); }
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.tab-btn.active {
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color: var(--bg-deep);
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background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green));
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box-shadow: 0 0 20px var(--glow-cyan);
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}
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.tab-panel { display: none; animation: fadeUp 0.4s ease-out; }
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.tab-panel.active { display: block; }
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@keyframes fadeUp {
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from { opacity: 0; transform: translateY(16px); }
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to { opacity: 1; transform: translateY(0); }
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}
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/* Stats */
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.stats-row {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 14px;
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margin-bottom: 24px;
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}
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.stat-card {
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background: var(--bg-card);
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border: 1px solid var(--border);
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border-radius: 10px;
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padding: 18px;
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position: relative;
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overflow: hidden;
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transition: all 0.3s;
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}
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.stat-card:hover {
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border-color: var(--accent-cyan);
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transform: translateY(-2px);
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box-shadow: 0 8px 32px var(--glow-cyan);
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}
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.stat-label {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.65em;
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color: var(--text-muted);
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text-transform: uppercase;
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letter-spacing: 1.5px;
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margin-bottom: 6px;
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}
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.stat-value { font-size: 2em; font-weight: 800; }
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.stat-sub { font-size: 0.75em; color: var(--text-secondary); margin-top: 4px; }
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.grad-cyan { background: linear-gradient(135deg, var(--accent-cyan), var(--accent-green)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
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.grad-orange { background: linear-gradient(135deg, var(--accent-orange), var(--accent-yellow)); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
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.grad-purple { background: linear-gradient(135deg, var(--accent-purple), #e879f9); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
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.grad-green { background: linear-gradient(135deg, var(--accent-green), #4ade80); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
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.grad-red { background: linear-gradient(135deg, var(--accent-red), #ff6b81); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
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/* Agent Grid */
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.agents-grid {
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display: grid;
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grid-template-columns: repeat(auto-fill, minmax(340px, 1fr));
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gap: 16px;
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}
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.agent-card {
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background: var(--bg-card);
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border: 1px solid var(--border);
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border-radius: 12px;
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padding: 20px;
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transition: all 0.3s;
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position: relative;
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overflow: hidden;
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}
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.agent-card:hover {
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border-color: var(--accent-cyan);
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transform: translateY(-2px);
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box-shadow: 0 8px 32px var(--glow-cyan);
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}
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.agent-card.has-history { border-left: 3px solid var(--accent-green); }
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.agent-card.needs-update { border-left: 3px solid var(--accent-orange); }
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.agent-card.is-new { border-left: 3px solid var(--accent-purple); }
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.agent-header {
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display: flex;
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justify-content: space-between;
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align-items: flex-start;
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margin-bottom: 12px;
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}
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.agent-name {
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font-weight: 700;
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font-size: 1.05em;
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.agent-color {
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width: 12px;
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height: 12px;
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border-radius: 3px;
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flex-shrink: 0;
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}
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.agent-category {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.7em;
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padding: 3px 8px;
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border-radius: 12px;
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background: rgba(0,212,255,0.1);
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color: var(--accent-cyan);
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}
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.agent-model {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.78em;
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color: var(--accent-green);
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margin-bottom: 8px;
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display: flex;
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align-items: center;
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gap: 6px;
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}
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.agent-provider {
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font-size: 0.7em;
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padding: 2px 6px;
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border-radius: 4px;
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background: rgba(0,255,148,0.1);
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color: var(--accent-green);
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}
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.agent-desc {
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font-size: 0.85em;
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color: var(--text-secondary);
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line-height: 1.5;
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margin-bottom: 12px;
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}
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.agent-meta {
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display: grid;
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grid-template-columns: repeat(3, 1fr);
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gap: 8px;
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padding-top: 12px;
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border-top: 1px solid var(--border);
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}
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.agent-meta-item {
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text-align: center;
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}
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.agent-meta-label {
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font-size: 0.6em;
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color: var(--text-muted);
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text-transform: uppercase;
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letter-spacing: 0.5px;
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}
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.agent-meta-value {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.9em;
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font-weight: 600;
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color: var(--text-primary);
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}
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.agent-history {
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margin-top: 12px;
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padding-top: 12px;
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border-top: 1px dashed var(--border);
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}
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.history-title {
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font-size: 0.7em;
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color: var(--text-muted);
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text-transform: uppercase;
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margin-bottom: 8px;
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}
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.history-item {
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display: flex;
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align-items: center;
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gap: 10px;
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font-size: 0.75em;
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padding: 6px 0;
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border-bottom: 1px solid rgba(30,45,69,0.5);
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}
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.history-item:last-child { border-bottom: none; }
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.history-date {
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font-family: 'JetBrains Mono', monospace;
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color: var(--text-muted);
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min-width: 100px;
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}
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.history-type {
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padding: 2px 6px;
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border-radius: 4px;
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font-size: 0.85em;
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}
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.history-type.model_change { background: rgba(0,212,255,0.15); color: var(--accent-cyan); }
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.history-type.prompt_change { background: rgba(168,85,247,0.15); color: var(--accent-purple); }
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.history-type.agent_created { background: rgba(0,255,148,0.15); color: var(--accent-green); }
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/* Category Section */
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.category-section { margin-bottom: 32px; }
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.category-header {
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display: flex;
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align-items: center;
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gap: 10px;
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margin-bottom: 16px;
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padding-bottom: 8px;
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border-bottom: 1px solid var(--border);
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}
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.category-title {
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font-size: 1.1em;
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font-weight: 700;
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}
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.category-count {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.7em;
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padding: 3px 8px;
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border-radius: 12px;
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background: rgba(168,85,247,0.15);
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color: var(--accent-purple);
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}
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/* Evolution Timeline */
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.timeline-wrap {
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background: var(--bg-card);
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border: 1px solid var(--border);
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border-radius: 12px;
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padding: 24px;
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margin-bottom: 24px;
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}
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.timeline-title {
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font-size: 1.1em;
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font-weight: 700;
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margin-bottom: 16px;
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}
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.timeline {
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position: relative;
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padding-left: 24px;
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}
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.timeline::before {
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content: '';
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position: absolute;
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left: 8px;
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top: 0;
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bottom: 0;
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width: 2px;
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background: var(--border);
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}
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.timeline-item {
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position: relative;
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padding: 12px 0 12px 24px;
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border-bottom: 1px solid var(--border);
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}
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.timeline-item:last-child { border-bottom: none; }
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.timeline-item::before {
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content: '';
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position: absolute;
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left: -20px;
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top: 18px;
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width: 12px;
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height: 12px;
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border-radius: 50%;
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background: var(--accent-cyan);
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border: 2px solid var(--border);
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}
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.timeline-date {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.75em;
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color: var(--text-muted);
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}
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.timeline-content {
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font-size: 0.9em;
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margin-top: 4px;
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}
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.timeline-agent {
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font-weight: 600;
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color: var(--accent-cyan);
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}
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.timeline-change {
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color: var(--text-secondary);
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}
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/* Filter Row */
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.filter-row {
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display: flex;
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gap: 8px;
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flex-wrap: wrap;
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margin-bottom: 16px;
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}
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.filter-btn {
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padding: 6px 14px;
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background: var(--bg-card);
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border: 1px solid var(--border);
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color: var(--text-secondary);
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border-radius: 20px;
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font-size: 0.8em;
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cursor: pointer;
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transition: all 0.2s;
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font-family: 'Inter', sans-serif;
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}
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.filter-btn:hover, .filter-btn.active {
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border-color: var(--accent-cyan);
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color: var(--accent-cyan);
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background: rgba(0,212,255,0.05);
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}
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/* Search */
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.search-box {
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position: relative;
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margin-bottom: 20px;
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}
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.search-input {
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width: 100%;
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padding: 12px 16px 12px 40px;
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background: var(--bg-card);
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border: 1px solid var(--border);
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border-radius: 8px;
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color: var(--text-primary);
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font-family: 'Inter', sans-serif;
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font-size: 0.9em;
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}
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.search-input:focus {
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outline: none;
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border-color: var(--accent-cyan);
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}
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.search-icon {
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position: absolute;
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left: 14px;
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top: 50%;
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transform: translateY(-50%);
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color: var(--text-muted);
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}
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/* Model Matrix */
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.matrix-wrap {
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overflow-x: auto;
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border-radius: 12px;
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border: 1px solid var(--border);
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background: var(--bg-card);
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padding: 20px;
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}
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.matrix-title {
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font-size: 1.1em;
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font-weight: 700;
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margin-bottom: 16px;
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}
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.matrix-table {
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width: 100%;
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border-collapse: collapse;
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font-size: 0.8em;
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}
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.matrix-table th {
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font-family: 'JetBrains Mono', monospace;
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font-size: 0.7em;
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color: var(--text-muted);
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text-transform: uppercase;
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padding: 10px 8px;
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text-align: left;
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border-bottom: 2px solid var(--border);
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position: sticky;
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top: 0;
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background: var(--bg-panel);
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}
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.matrix-table td {
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padding: 10px 8px;
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border-bottom: 1px solid var(--border);
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}
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.matrix-table tr:hover td {
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background: var(--bg-card-hover);
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}
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.score-bar {
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display: flex;
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align-items: center;
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gap: 6px;
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}
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.score-bg {
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width: 50px;
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height: 5px;
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background: var(--border);
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border-radius: 3px;
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overflow: hidden;
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}
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.score-fill {
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height: 100%;
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border-radius: 3px;
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}
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.score-fill.high { background: linear-gradient(90deg, var(--accent-green), #00ff94); }
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.score-fill.medium { background: linear-gradient(90deg, var(--accent-orange), #ffc048); }
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.score-fill.low { background: linear-gradient(90deg, var(--accent-red), #ff6b81); }
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/* Export */
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.actions-row {
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display: flex;
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gap: 10px;
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margin-bottom: 20px;
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}
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.action-btn {
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padding: 8px 16px;
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background: var(--bg-card);
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border: 1px solid var(--border);
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color: var(--text-primary);
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border-radius: 8px;
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font-family: 'Inter', sans-serif;
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font-size: 0.85em;
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cursor: pointer;
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transition: all 0.25s;
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display: inline-flex;
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align-items: center;
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gap: 8px;
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}
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.action-btn:hover {
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border-color: var(--accent-cyan);
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color: var(--accent-cyan);
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}
|
||
.action-btn.primary {
|
||
background: linear-gradient(135deg, rgba(0,212,255,0.15), rgba(0,255,148,0.1));
|
||
border-color: var(--accent-cyan);
|
||
color: var(--accent-cyan);
|
||
}
|
||
.action-btn.primary:hover {
|
||
box-shadow: 0 0 20px var(--glow-cyan);
|
||
}
|
||
|
||
/* Modal */
|
||
.modal {
|
||
display: none;
|
||
position: fixed;
|
||
inset: 0;
|
||
background: rgba(0,0,0,0.7);
|
||
z-index: 9999;
|
||
justify-content: center;
|
||
align-items: center;
|
||
padding: 20px;
|
||
}
|
||
.modal.show { display: flex; }
|
||
.modal-content {
|
||
background: var(--bg-panel);
|
||
border: 1px solid var(--accent-cyan);
|
||
border-radius: 14px;
|
||
max-width: 900px;
|
||
width: 100%;
|
||
max-height: 85vh;
|
||
overflow: hidden;
|
||
display: flex;
|
||
flex-direction: column;
|
||
box-shadow: 0 20px 60px rgba(0,0,0,0.5);
|
||
}
|
||
.modal-header {
|
||
display: flex;
|
||
justify-content: space-between;
|
||
align-items: center;
|
||
padding: 18px 22px;
|
||
border-bottom: 1px solid var(--border);
|
||
}
|
||
.modal-title { font-weight: 700; font-size: 1.05em; }
|
||
.modal-actions { display: flex; gap: 8px; }
|
||
.modal-body {
|
||
flex: 1;
|
||
overflow: auto;
|
||
padding: 18px 22px;
|
||
}
|
||
.modal-pre {
|
||
font-family: 'JetBrains Mono', monospace;
|
||
font-size: 0.78em;
|
||
line-height: 1.6;
|
||
color: var(--accent-green);
|
||
white-space: pre-wrap;
|
||
}
|
||
|
||
@media (max-width: 768px) {
|
||
.header h1 { font-size: 1.5em; }
|
||
.tabs { flex-wrap: wrap; }
|
||
.agents-grid { grid-template-columns: 1fr; }
|
||
.stats-row { grid-template-columns: repeat(2, 1fr); }
|
||
}
|
||
</style>
|
||
</head>
|
||
<body>
|
||
<div class="container">
|
||
<div class="header">
|
||
<h1>APAW Agent Evolution</h1>
|
||
<div class="sub">Real-time agent model & performance tracking</div>
|
||
<div class="meta">
|
||
<span id="lastSync">Loading...</span>
|
||
<span>•</span>
|
||
<span id="agentCount">0 agents</span>
|
||
<span>•</span>
|
||
<span id="historyCount">0 with history</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="tabs" id="tabBar">
|
||
<button class="tab-btn active" onclick="switchTab('overview')">Overview</button>
|
||
<button class="tab-btn" onclick="switchTab('agents')">All Agents</button>
|
||
<button class="tab-btn" onclick="switchTab('history')">Timeline</button>
|
||
<button class="tab-btn" onclick="switchTab('recommendations')">Recommendations</button>
|
||
<button class="tab-btn" onclick="switchTab('matrix')">Model Matrix</button>
|
||
</div>
|
||
|
||
<!-- Overview Tab -->
|
||
<div id="tab-overview" class="tab-panel active">
|
||
<div class="stats-row" id="statsRow"></div>
|
||
|
||
<div class="category-section">
|
||
<div class="category-header">
|
||
<h2 class="category-title">Recent Changes</h2>
|
||
<span class="category-count" id="recentCount">0</span>
|
||
</div>
|
||
<div class="timeline-wrap">
|
||
<div class="timeline" id="recentTimeline"></div>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="category-section">
|
||
<div class="category-header">
|
||
<h2 class="category-title">Pending Recommendations</h2>
|
||
<span class="category-count" id="recCount">0</span>
|
||
</div>
|
||
<div class="agents-grid" id="recAgents"></div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- All Agents Tab -->
|
||
<div id="tab-agents" class="tab-panel">
|
||
<div class="search-box">
|
||
<span class="search-icon">🔍</span>
|
||
<input type="text" class="search-input" id="agentSearch" placeholder="Search agents..." oninput="filterAgents()">
|
||
</div>
|
||
<div class="filter-row">
|
||
<button class="filter-btn active" onclick="filterCategory('all')">All</button>
|
||
<button class="filter-btn" onclick="filterCategory('Core Dev')">Core Dev</button>
|
||
<button class="filter-btn" onclick="filterCategory('QA')">QA</button>
|
||
<button class="filter-btn" onclick="filterCategory('Security')">Security</button>
|
||
<button class="filter-btn" onclick="filterCategory('Analysis')">Analysis</button>
|
||
<button class="filter-btn" onclick="filterCategory('Process')">Process</button>
|
||
<button class="filter-btn" onclick="filterCategory('Cognitive')">Cognitive</button>
|
||
</div>
|
||
<div id="agentsByCategory"></div>
|
||
</div>
|
||
|
||
<!-- History Tab -->
|
||
<div id="tab-history" class="tab-panel">
|
||
<div class="timeline-wrap">
|
||
<h2 class="timeline-title">Evolution Timeline</h2>
|
||
<div class="timeline" id="fullTimeline"></div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Recommendations Tab -->
|
||
<div id="tab-recommendations" class="tab-panel">
|
||
<div class="actions-row">
|
||
<button class="action-btn primary" onclick="exportRecommendations()">
|
||
<span>📥</span> Export JSON
|
||
</button>
|
||
</div>
|
||
<div class="agents-grid" id="allRecommendations"></div>
|
||
</div>
|
||
|
||
<!-- Matrix Tab -->
|
||
<div id="tab-matrix" class="tab-panel">
|
||
<div class="matrix-wrap">
|
||
<h2 class="matrix-title">Agent × Model Matrix</h2>
|
||
<table class="matrix-table" id="matrixTable">
|
||
<thead id="matrixHead"></thead>
|
||
<tbody id="matrixBody"></tbody>
|
||
</table>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<!-- Export Modal -->
|
||
<div class="modal" id="exportModal">
|
||
<div class="modal-content">
|
||
<div class="modal-header">
|
||
<div class="modal-title">Export Recommendations</div>
|
||
<div class="modal-actions">
|
||
<button class="action-btn" onclick="copyToClipboard()">📋 Copy</button>
|
||
<button class="action-btn primary" onclick="downloadJSON()">⬇ Download</button>
|
||
<button class="action-btn" onclick="closeModal()" style="border-color: #ff4757; color: #ff6b81;">✕</button>
|
||
</div>
|
||
</div>
|
||
<div class="modal-body">
|
||
<pre class="modal-pre" id="exportContent"></pre>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
<script>
|
||
// Agent Evolution Dashboard
|
||
// Supports both server and file:// mode
|
||
let agentData = {};
|
||
|
||
// Embedded data (generated 2026-04-27T20:28:59.112Z)
|
||
const EMBEDDED_DATA = {
|
||
"version": "1.0.0",
|
||
"lastUpdated": "2026-04-27T20:28:58.592Z",
|
||
"agents": {
|
||
"lead-developer": {
|
||
"current": {
|
||
"description": "Primary code writer for backend and core logic. Writes implementation to pass tests",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#DC2626\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"code_writing",
|
||
"refactoring",
|
||
"bug_fixing",
|
||
"implementation"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": null,
|
||
"to": "ollama-cloud/qwen3-coder:480b",
|
||
"reason": "Initial configuration from capability-index.yaml",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-27T16:56:09.013Z",
|
||
"commit": "model-research-sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/qwen3-coder:480b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Nemotron 3 Super has better reasoning for core development tasks and RULER@1M context window. SWE-bench 68% vs Qwen's 66.5%.",
|
||
"source": "research"
|
||
},
|
||
{
|
||
"date": "2026-04-27T20:28:58.592Z",
|
||
"commit": "model-research-sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/qwen3-coder:480b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Nemotron 3 Super has better reasoning for core development tasks and RULER@1M context window. SWE-bench 68% vs Qwen's 66.5%.",
|
||
"source": "research"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"frontend-developer": {
|
||
"current": {
|
||
"description": "Handles UI implementation with multimodal capabilities. Accepts visual references like screenshots and mockups",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#0EA5E9\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"ui_implementation",
|
||
"component_creation",
|
||
"styling",
|
||
"responsive_design",
|
||
"nextjs_development",
|
||
"vue_nuxt_development",
|
||
"react_development"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "af5f401",
|
||
"type": "agent_created",
|
||
"from": null,
|
||
"to": "ollama-cloud/qwen3-coder:480b",
|
||
"reason": "Flutter development support added",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"backend-developer": {
|
||
"current": {
|
||
"description": "Backend specialist for Node.js, Express, APIs, and database integration",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#10B981\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"api_development",
|
||
"database_design",
|
||
"server_logic",
|
||
"authentication",
|
||
"postgresql_integration",
|
||
"sqlite_integration"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"go-developer": {
|
||
"current": {
|
||
"description": "Go backend specialist for Gin, Echo, APIs, and database integration",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#00ADD8\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"go_api_development",
|
||
"go_database_design",
|
||
"go_concurrent_programming",
|
||
"go_authentication",
|
||
"go_microservices",
|
||
"postgresql_integration",
|
||
"sqlite_integration",
|
||
"clickhouse_integration"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/deepseek-v3.2",
|
||
"to": "ollama-cloud/qwen3-coder:480b",
|
||
"reason": "Qwen3-Coder optimized for Go development",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"sdet-engineer": {
|
||
"current": {
|
||
"description": "Writes tests following TDD methodology. Tests MUST fail initially (Red phase)",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#8B5CF6\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"unit_tests",
|
||
"integration_tests",
|
||
"e2e_tests",
|
||
"test_planning",
|
||
"visual_regression"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"code-skeptic": {
|
||
"current": {
|
||
"description": "Adversarial code reviewer. Finds problems and issues. Does NOT suggest implementations",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/minimax-m2.5",
|
||
"provider": "Ollama",
|
||
"color": "\"#E11D48\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"code_review",
|
||
"security_review",
|
||
"style_check",
|
||
"issue_identification"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"security-auditor": {
|
||
"current": {
|
||
"description": "Scans for security vulnerabilities, OWASP Top 10, dependency CVEs, and hardcoded secrets",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#7F1D1D\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"vulnerability_scan",
|
||
"owasp_check",
|
||
"secret_detection",
|
||
"auth_review"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/deepseek-v3.2",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Nemotron 3 Super optimized for security analysis with RULER@1M",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"performance-engineer": {
|
||
"current": {
|
||
"description": "Reviews code for performance issues. Focuses on efficiency, N+1 queries, memory leaks, and algorithmic complexity",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#0D9488\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"performance_analysis",
|
||
"n_plus_one_detection",
|
||
"memory_leak_check",
|
||
"algorithm_analysis"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Better reasoning for performance analysis",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"browser-automation": {
|
||
"current": {
|
||
"description": "Browser automation agent using Playwright MCP for E2E testing, form filling, navigation, and web interaction",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#1E88E5\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"e2e_browser_tests",
|
||
"form_filling",
|
||
"navigation_testing",
|
||
"screenshot_capture"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"visual-tester": {
|
||
"current": {
|
||
"description": "Visual regression testing agent that captures screenshots, extracts UI elements with bounding boxes, compares via pixelmatch, and detects console/network errors",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#E91E63\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"visual_regression",
|
||
"pixel_comparison",
|
||
"screenshot_diff",
|
||
"ui_validation",
|
||
"bbox_element_extraction",
|
||
"console_error_detection",
|
||
"network_error_detection",
|
||
"responsive_layout_check",
|
||
"button_overflow_detection",
|
||
"gitea_integration",
|
||
"docker_networking"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"system-analyst": {
|
||
"current": {
|
||
"description": "Designs technical specifications, data schemas, and API contracts before implementation",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#0891B2\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"architecture_design",
|
||
"api_specification",
|
||
"database_modeling",
|
||
"technical_documentation"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/glm-5",
|
||
"reason": "GLM-5 better for system engineering and architecture",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-27T16:59:52.825Z",
|
||
"commit": "model-research-sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5.1",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Test recommendation for model research sync script",
|
||
"source": "research"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"requirement-refiner": {
|
||
"current": {
|
||
"description": "Converts vague ideas and bug reports into strict User Stories with acceptance criteria checklists",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#4F46E5\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"requirement_analysis",
|
||
"user_story_creation",
|
||
"acceptance_criteria",
|
||
"clarification"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
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|
||
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|
||
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|
||
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|
||
"to": "ollama-cloud/glm-5",
|
||
"reason": "+33% quality. GLM-5 excels at requirement analysis and system engineering",
|
||
"source": "research"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
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|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"history-miner": {
|
||
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|
||
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|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#059669\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"git_search",
|
||
"duplicate_detection",
|
||
"past_solution_finder",
|
||
"pattern_identification"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
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|
||
"current": {
|
||
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|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"color": "\"#6366F1\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"gap_analysis",
|
||
"capability_mapping",
|
||
"recommendation_generation",
|
||
"coverage_analysis"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T22:30:00Z",
|
||
"commit": "auto",
|
||
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|
||
"from": "ollama-cloud/nemotron-3-super",
|
||
"to": "openrouter/qwen/qwen3.6-plus:free",
|
||
"reason": "+23% quality, IF:90 score, 1M context, FREE via OpenRouter",
|
||
"source": "research"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"orchestrator": {
|
||
"current": {
|
||
"description": "Main dispatcher. Routes tasks between agents based on Issue status and manages the workflow state machine. IF:90 for optimal routing accuracy.",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#7C3AED\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"task_routing",
|
||
"state_management",
|
||
"agent_coordination",
|
||
"workflow_execution"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"release-manager": {
|
||
"current": {
|
||
"description": "Manages git operations, semantic versioning, branching, and deployments. Ensures clean history",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"color": "\"#581C87\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"git_operations",
|
||
"version_management",
|
||
"changelog_creation",
|
||
"deployment"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/devstral-2:123b",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"evaluator": {
|
||
"current": {
|
||
"description": "Scores agent effectiveness after task completion for continuous improvement",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#047857\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"performance_scoring",
|
||
"process_analysis",
|
||
"pattern_identification",
|
||
"improvement_recommendations"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Nemotron 3 Super better for evaluation tasks",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-05T22:30:00Z",
|
||
"commit": "auto",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/nemotron-3-super",
|
||
"to": "openrouter/qwen/qwen3.6-plus:free",
|
||
"reason": "+4% quality, IF:90 for scoring accuracy, FREE",
|
||
"source": "research"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"prompt-optimizer": {
|
||
"current": {
|
||
"description": "Improves agent system prompts based on performance failures. Meta-learner for prompt optimization",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "instant",
|
||
"color": "\"#BE185D\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"prompt_analysis",
|
||
"prompt_improvement",
|
||
"failure_pattern_detection"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Research recommendation applied",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/nemotron-3-super",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"the-fixer": {
|
||
"current": {
|
||
"description": "Iteratively fixes bugs based on specific error reports and test failures",
|
||
"mode": "all",
|
||
"model": "ollama-cloud/minimax-m2.5",
|
||
"provider": "Ollama",
|
||
"color": "\"#F59E0B\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"bug_fixing",
|
||
"issue_resolution",
|
||
"code_correction"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"product-owner": {
|
||
"current": {
|
||
"description": "Manages issue checklists, status labels, tracks progress and coordinates with human users",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"color": "\"#EA580C\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"issue_management",
|
||
"prioritization",
|
||
"backlog_management",
|
||
"workflow_completion"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/glm-5",
|
||
"reason": "GLM-5 good for management tasks",
|
||
"source": "git"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"workflow-architect": {
|
||
"current": {
|
||
"description": "Creates and maintains workflow definitions with complete architecture, Gitea integration, and quality gates",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#EC4899\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"workflow_design",
|
||
"process_definition",
|
||
"automation_setup"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/glm-5",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"markdown-validator": {
|
||
"current": {
|
||
"description": "Validates and corrects Markdown descriptions for Gitea issues",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-nano:30b",
|
||
"provider": "Ollama",
|
||
"color": "\"#F97316\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"markdown_validation",
|
||
"formatting_check",
|
||
"link_validation"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/nemotron-3-nano:30b",
|
||
"reason": "Nano efficient for lightweight validation tasks",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"agent-architect": {
|
||
"current": {
|
||
"name": "Agent Architect",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"description": "Creates, modifies, and reviews new agents, workflows, and skills based on capability gap analysis",
|
||
"color": "\"#8B5CF6\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"agent_design",
|
||
"prompt_engineering",
|
||
"capability_definition"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T22:30:00Z",
|
||
"commit": "auto",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/nemotron-3-super",
|
||
"to": "openrouter/qwen/qwen3.6-plus:free",
|
||
"reason": "+22% quality, IF:90 for YAML frontmatter generation, 1M context for all agents analysis",
|
||
"source": "research"
|
||
},
|
||
{
|
||
"date": "2026-04-23T06:24:32.546Z",
|
||
"commit": "sync",
|
||
"type": "model_change",
|
||
"from": "openrouter/qwen/qwen3.6-plus:free",
|
||
"to": "ollama-cloud/glm-5.1",
|
||
"reason": "Model update from sync",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"planner": {
|
||
"current": {
|
||
"description": "Advanced task planner using Chain of Thought, Tree of Thoughts, and Plan-Execute-Reflect",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#F59E0B\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"task_decomposition",
|
||
"chain_of_thought",
|
||
"tree_of_thoughts",
|
||
"plan_execute_reflect",
|
||
"dependency_analysis"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Nemotron 3 Super excels at planning",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"reflector": {
|
||
"current": {
|
||
"description": "Self-reflection agent using Reflexion pattern - learns from mistakes",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#10B981\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"self_reflection",
|
||
"mistake_analysis",
|
||
"lesson_extraction",
|
||
"trajectory_analysis",
|
||
"heuristic_evaluation"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "Better for reflection tasks",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"memory-manager": {
|
||
"current": {
|
||
"description": "Manages agent memory systems - short-term (context), long-term (vector store), and episodic (experiences)",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#8B5CF6\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"memory_retrieval",
|
||
"memory_storage",
|
||
"memory_consolidation",
|
||
"relevance_scoring",
|
||
"episodic_management"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T05:21:00Z",
|
||
"commit": "caf77f53c8",
|
||
"type": "model_change",
|
||
"from": "ollama-cloud/gpt-oss:120b",
|
||
"to": "ollama-cloud/nemotron-3-super",
|
||
"reason": "RULER@1M critical for memory ctx",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"devops-engineer": {
|
||
"current": {
|
||
"description": "DevOps specialist for Docker, Kubernetes, CI/CD pipeline automation, and infrastructure management",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/nemotron-3-super",
|
||
"provider": "Ollama",
|
||
"color": "\"#FF6B35\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"docker_configuration",
|
||
"kubernetes_setup",
|
||
"ci_cd_pipeline",
|
||
"infrastructure_automation",
|
||
"container_optimization"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"flutter-developer": {
|
||
"current": {
|
||
"description": "Flutter mobile specialist for cross-platform apps, state management, and UI components",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"color": "\"#02569B\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"dart_programming",
|
||
"flutter_ui",
|
||
"mobile_app_development",
|
||
"widget_creation",
|
||
"state_management"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-05T15:00:00Z",
|
||
"commit": "af5f401",
|
||
"type": "agent_created",
|
||
"from": null,
|
||
"to": "ollama-cloud/qwen3-coder:480b",
|
||
"reason": "New agent for Flutter development",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"architect-indexer": {
|
||
"current": {
|
||
"description": "Indexes and maps project codebase architecture into .architect/ directory. Creates and maintains structured documentation of entities, APIs, DB schema, file graphs, and conventions.",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#10B981\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"codebase_indexing",
|
||
"project_mapping",
|
||
"architecture_documentation",
|
||
"dependency_analysis",
|
||
"entity_extraction",
|
||
"api_surface_discovery",
|
||
"convention_detection",
|
||
"staleness_detection"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"php-developer": {
|
||
"current": {
|
||
"description": "PHP backend specialist for Laravel, Symfony, WordPress, and full-stack web applications",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#8B5CF6\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"php_web_development",
|
||
"laravel_development",
|
||
"symfony_development",
|
||
"wordpress_development",
|
||
"php_api_development",
|
||
"php_database_design",
|
||
"php_authentication",
|
||
"php_modular_architecture",
|
||
"php_testing",
|
||
"php_security"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
},
|
||
"pipeline-judge": {
|
||
"current": {
|
||
"description": "Automated pipeline judge. Evaluates workflow execution by running tests, measuring token cost and wall-clock time. Produces objective fitness scores. Never writes code - only measures and scores.",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/glm-5.1",
|
||
"provider": "Ollama",
|
||
"color": "\"#DC2626\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"test_execution",
|
||
"fitness_scoring",
|
||
"metric_collection",
|
||
"bottleneck_detection"
|
||
]
|
||
},
|
||
"history": [
|
||
{
|
||
"date": "2026-04-06T00:23:50 +0100Z",
|
||
"commit": "fa68141d",
|
||
"type": "agent_created",
|
||
"from": null,
|
||
"to": "",
|
||
"reason": "feat: add pipeline-judge agent and evolution workflow system",
|
||
"source": "git"
|
||
}
|
||
],
|
||
"performance_log": []
|
||
},
|
||
"python-developer": {
|
||
"current": {
|
||
"description": "Python backend specialist for Django, FastAPI, data science, and API development",
|
||
"mode": "subagent",
|
||
"model": "ollama-cloud/qwen3-coder:480b",
|
||
"provider": "Ollama",
|
||
"variant": "thinking",
|
||
"color": "\"#3776AB\"",
|
||
"category": "General",
|
||
"capabilities": [
|
||
"python_web_development",
|
||
"django_development",
|
||
"fastapi_development",
|
||
"python_api_development",
|
||
"python_database_design",
|
||
"python_authentication",
|
||
"python_async_patterns",
|
||
"python_testing",
|
||
"python_security"
|
||
]
|
||
},
|
||
"history": [],
|
||
"performance_log": []
|
||
}
|
||
},
|
||
"providers": {
|
||
"Ollama": {
|
||
"models": []
|
||
},
|
||
"OpenRouter": {
|
||
"models": []
|
||
},
|
||
"Groq": {
|
||
"models": []
|
||
}
|
||
},
|
||
"evolution_metrics": {
|
||
"total_agents": 32,
|
||
"agents_with_history": 22,
|
||
"pending_recommendations": 0,
|
||
"last_sync": "2026-04-23T06:24:32.546Z",
|
||
"sync_sources": [
|
||
"git",
|
||
"capability-index.yaml",
|
||
"kilo.jsonc"
|
||
]
|
||
}
|
||
};
|
||
// Initialize
|
||
async function init() {
|
||
// Use embedded data directly (works with file://)
|
||
agentData = EMBEDDED_DATA;
|
||
|
||
try {
|
||
document.getElementById('lastSync').textContent = formatDate(agentData.lastUpdated);
|
||
document.getElementById('agentCount').textContent = agentData.evolution_metrics.total_agents + ' agents';
|
||
document.getElementById('historyCount').textContent = agentData.evolution_metrics.agents_with_history + ' with history';
|
||
|
||
if (agentData.evolution_metrics.total_agents === 0) {
|
||
document.getElementById('lastSync').textContent = 'No data - run sync:evolution';
|
||
return;
|
||
}
|
||
|
||
renderOverview();
|
||
renderAllAgents();
|
||
renderTimeline();
|
||
renderRecommendations();
|
||
renderMatrix();
|
||
} catch (error) {
|
||
console.error('Failed to render dashboard:', error);
|
||
document.getElementById('lastSync').textContent = 'Error rendering data';
|
||
}
|
||
}
|
||
|
||
// Format date
|
||
function formatDate(dateStr) {
|
||
const date = new Date(dateStr);
|
||
return date.toLocaleDateString('ru-RU', {
|
||
day: '2-digit',
|
||
month: 'short',
|
||
hour: '2-digit',
|
||
minute: '2-digit'
|
||
});
|
||
}
|
||
|
||
// Render Overview
|
||
function renderOverview() {
|
||
const stats = [
|
||
{ label: 'Total Agents', value: agentData.evolution_metrics.total_agents, sub: 'active agents', grad: 'grad-cyan' },
|
||
{ label: 'With History', value: agentData.evolution_metrics.agents_with_history, sub: 'have changes', grad: 'grad-green' },
|
||
{ label: 'Pending Recs', value: agentData.evolution_metrics.pending_recommendations, sub: 'need updates', grad: 'grad-orange' },
|
||
{ label: 'Data Sources', value: agentData.evolution_metrics.sync_sources.length, sub: 'git, yaml, jsonc', grad: 'grad-purple' },
|
||
];
|
||
|
||
document.getElementById('statsRow').innerHTML = stats.map(s => `
|
||
<div class="stat-card">
|
||
<div class="stat-label">${s.label}</div>
|
||
<div class="stat-value ${s.grad}">${s.value}</div>
|
||
<div class="stat-sub">${s.sub}</div>
|
||
</div>
|
||
`).join('');
|
||
|
||
// Recent changes
|
||
const allHistory = [];
|
||
for (const [name, agent] of Object.entries(agentData.agents)) {
|
||
for (const h of agent.history) {
|
||
allHistory.push({ ...h, agent: name });
|
||
}
|
||
}
|
||
allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
|
||
const recent = allHistory.slice(0, 10);
|
||
|
||
document.getElementById('recentCount').textContent = recent.length;
|
||
document.getElementById('recentTimeline').innerHTML = recent.length > 0
|
||
? recent.map(h => `
|
||
<div class="timeline-item">
|
||
<div class="timeline-date">${formatDate(h.date)}</div>
|
||
<div class="timeline-content">
|
||
<span class="timeline-agent">${h.agent}</span>
|
||
<span class="timeline-change">: ${h.type.replace('_', ' ')} from ${h.from || 'none'} to ${h.to}</span>
|
||
</div>
|
||
</div>
|
||
`).join('')
|
||
: '<p style="color: var(--text-muted);">No history yet</p>';
|
||
|
||
// Recommended agents
|
||
const recAgents = Object.entries(agentData.agents)
|
||
.filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
|
||
.slice(0, 6);
|
||
|
||
document.getElementById('recCount').textContent = recAgents.length;
|
||
document.getElementById('recAgents').innerHTML = recAgents.map(([name, agent]) =>
|
||
renderAgentCard(name, agent, true)
|
||
).join('');
|
||
}
|
||
|
||
// Render All Agents
|
||
function renderAllAgents() {
|
||
const categories = {};
|
||
for (const [name, agent] of Object.entries(agentData.agents)) {
|
||
const cat = agent.current.category || 'General';
|
||
if (!categories[cat]) categories[cat] = [];
|
||
categories[cat].push([name, agent]);
|
||
}
|
||
|
||
let html = '';
|
||
for (const [cat, agents] of Object.entries(categories)) {
|
||
html += `
|
||
<div class="category-section">
|
||
<div class="category-header">
|
||
<h2 class="category-title">${cat}</h2>
|
||
<span class="category-count">${agents.length}</span>
|
||
</div>
|
||
<div class="agents-grid">
|
||
${agents.map(([name, agent]) => renderAgentCard(name, agent)).join('')}
|
||
</div>
|
||
</div>
|
||
`;
|
||
}
|
||
document.getElementById('agentsByCategory').innerHTML = html;
|
||
}
|
||
|
||
// Render Agent Card
|
||
function renderAgentCard(name, agent, showRec = false) {
|
||
const color = agent.current.color || '#6B7280';
|
||
const hasHistory = agent.history && agent.history.length > 0;
|
||
const needsUpdate = agent.current.recommendations && agent.current.recommendations.length > 0;
|
||
const isNew = agent.current.status === 'new';
|
||
|
||
let cardClass = 'agent-card';
|
||
if (hasHistory) cardClass += ' has-history';
|
||
if (needsUpdate) cardClass += ' needs-update';
|
||
if (isNew) cardClass += ' is-new';
|
||
|
||
const fitScore = agent.current.benchmark?.fit_score || 0;
|
||
const scoreClass = fitScore >= 80 ? 'high' : fitScore >= 60 ? 'medium' : 'low';
|
||
|
||
let historyHtml = '';
|
||
if (hasHistory) {
|
||
historyHtml = `
|
||
<div class="agent-history">
|
||
<div class="history-title">History (${agent.history.length} changes)</div>
|
||
${agent.history.slice(0, 3).map(h => `
|
||
<div class="history-item">
|
||
<span class="history-date">${formatDate(h.date)}</span>
|
||
<span class="history-type ${h.type}">${h.type.replace('_', ' ')}</span>
|
||
<span>${h.from || 'none'} → ${h.to}</span>
|
||
</div>
|
||
`).join('')}
|
||
</div>
|
||
`;
|
||
}
|
||
|
||
let recHtml = '';
|
||
if (showRec && agent.current.recommendations) {
|
||
recHtml = agent.current.recommendations.map(r => `
|
||
<div style="margin-top:8px;padding:8px;background:rgba(255,159,67,0.1);border-radius:6px;font-size:0.8em;">
|
||
<strong style="color:var(--accent-orange);">${r.priority.toUpperCase()}</strong>:
|
||
Switch to <code>${r.target}</code><br>
|
||
<span style="color:var(--text-muted)">${r.reason}</span>
|
||
</div>
|
||
`).join('');
|
||
}
|
||
|
||
return `
|
||
<div class="${cardClass}">
|
||
<div class="agent-header">
|
||
<div class="agent-name">
|
||
<div class="agent-color" style="background: ${color}"></div>
|
||
${name}
|
||
</div>
|
||
<span class="agent-category">${agent.current.category}</span>
|
||
</div>
|
||
<div class="agent-model">
|
||
<span>${agent.current.model || 'not set'}</span>
|
||
${agent.current.provider ? `<span class="agent-provider">${agent.current.provider}</span>` : ''}
|
||
</div>
|
||
<div class="agent-desc">${agent.current.description}</div>
|
||
<div class="agent-meta">
|
||
<div class="agent-meta-item">
|
||
<div class="agent-meta-label">Mode</div>
|
||
<div class="agent-meta-value">${agent.current.mode}</div>
|
||
</div>
|
||
<div class="agent-meta-item">
|
||
<div class="agent-meta-label">Fit</div>
|
||
<div class="agent-meta-value">
|
||
<div class="score-bar">
|
||
<div class="score-bg"><div class="score-fill ${scoreClass}" style="width:${fitScore}%"></div></div>
|
||
<span>${fitScore}</span>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="agent-meta-item">
|
||
<div class="agent-meta-label">Caps</div>
|
||
<div class="agent-meta-value">${agent.current.capabilities?.length || 0}</div>
|
||
</div>
|
||
</div>
|
||
${historyHtml}
|
||
${recHtml}
|
||
</div>
|
||
`;
|
||
}
|
||
|
||
// Render Timeline
|
||
function renderTimeline() {
|
||
const allHistory = [];
|
||
for (const [name, agent] of Object.entries(agentData.agents)) {
|
||
for (const h of agent.history) {
|
||
allHistory.push({ ...h, agent: name });
|
||
}
|
||
}
|
||
allHistory.sort((a, b) => new Date(b.date) - new Date(a.date));
|
||
|
||
document.getElementById('fullTimeline').innerHTML = allHistory.length > 0
|
||
? allHistory.map(h => `
|
||
<div class="timeline-item">
|
||
<div class="timeline-date">${formatDate(h.date)} • ${h.commit}</div>
|
||
<div class="timeline-content">
|
||
<span class="timeline-agent">${h.agent}</span>
|
||
<span class="timeline-type ${h.type}" style="margin-left:8px;padding:2px 6px;border-radius:4px;font-size:0.8em;background:rgba(0,212,255,0.1);color:var(--accent-cyan)">${h.type.replace('_', ' ')}</span>
|
||
<div style="margin-top:4px;color:var(--text-secondary)">
|
||
${h.from ? `<code>${h.from}</code> → ` : ''}<code style="color:var(--accent-green)">${h.to}</code>
|
||
</div>
|
||
<div style="margin-top:4px;color:var(--text-muted);font-size:0.85em">${h.reason}</div>
|
||
</div>
|
||
</div>
|
||
`).join('')
|
||
: '<p style="color:var(--text-muted)">No history recorded yet.</p>';
|
||
}
|
||
|
||
// Render Recommendations
|
||
function renderRecommendations() {
|
||
const recs = Object.entries(agentData.agents)
|
||
.filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0);
|
||
|
||
document.getElementById('allRecommendations').innerHTML = recs.map(([name, agent]) =>
|
||
renderAgentCard(name, agent, true)
|
||
).join('');
|
||
}
|
||
|
||
// Render Matrix
|
||
function renderMatrix() {
|
||
const agents = Object.entries(agentData.agents);
|
||
const models = [...new Set(agents.map(([_, a]) => a.current.model).filter(Boolean))];
|
||
|
||
// Header
|
||
document.getElementById('matrixHead').innerHTML = `
|
||
<tr>
|
||
<th>Agent</th>
|
||
<th>Model</th>
|
||
<th>Provider</th>
|
||
<th>Fit Score</th>
|
||
<th>Category</th>
|
||
<th>Status</th>
|
||
</tr>
|
||
`;
|
||
|
||
// Body
|
||
document.getElementById('matrixBody').innerHTML = agents.map(([name, agent]) => {
|
||
const fit = agent.current.benchmark?.fit_score || 0;
|
||
const scoreClass = fit >= 80 ? 'high' : fit >= 60 ? 'medium' : 'low';
|
||
const status = agent.current.status === 'new' ? '🆕 New' :
|
||
agent.current.recommendations?.length > 0 ? '⚠️ Update' : '✅ OK';
|
||
|
||
return `
|
||
<tr>
|
||
<td><strong>${name}</strong></td>
|
||
<td><code style="color:var(--accent-green)">${agent.current.model || '—'}</code></td>
|
||
<td>${agent.current.provider || '—'}</td>
|
||
<td>
|
||
<div class="score-bar">
|
||
<div class="score-bg"><div class="score-fill ${scoreClass}" style="width:${fit}%"></div></div>
|
||
<span>${fit}</span>
|
||
</div>
|
||
</td>
|
||
<td>${agent.current.category}</td>
|
||
<td>${status}</td>
|
||
</tr>
|
||
`;
|
||
}).join('');
|
||
}
|
||
|
||
// Filter Agents
|
||
function filterAgents() {
|
||
const search = document.getElementById('agentSearch').value.toLowerCase();
|
||
const cards = document.querySelectorAll('.agent-card');
|
||
cards.forEach(card => {
|
||
const text = card.textContent.toLowerCase();
|
||
card.style.display = text.includes(search) ? '' : 'none';
|
||
});
|
||
}
|
||
|
||
function filterCategory(category) {
|
||
document.querySelectorAll('.filter-btn').forEach(btn => btn.classList.remove('active'));
|
||
event.target.classList.add('active');
|
||
|
||
if (category === 'all') {
|
||
document.querySelectorAll('.agent-card').forEach(card => card.style.display = '');
|
||
} else {
|
||
document.querySelectorAll('.category-section').forEach(section => {
|
||
const title = section.querySelector('.category-title')?.textContent;
|
||
section.style.display = title === category ? '' : 'none';
|
||
});
|
||
}
|
||
}
|
||
|
||
// Export
|
||
function exportRecommendations() {
|
||
const recs = Object.entries(agentData.agents)
|
||
.filter(([_, a]) => a.current.recommendations && a.current.recommendations.length > 0)
|
||
.map(([name, agent]) => ({
|
||
agent: name,
|
||
current_model: agent.current.model,
|
||
recommendations: agent.current.recommendations
|
||
}));
|
||
|
||
const output = {
|
||
timestamp: new Date().toISOString(),
|
||
total_recommendations: recs.length,
|
||
recommendations: recs
|
||
};
|
||
|
||
document.getElementById('exportContent').textContent = JSON.stringify(output, null, 2);
|
||
document.getElementById('exportModal').classList.add('show');
|
||
}
|
||
|
||
function copyToClipboard() {
|
||
const text = document.getElementById('exportContent').textContent;
|
||
navigator.clipboard.writeText(text);
|
||
alert('Copied to clipboard!');
|
||
}
|
||
|
||
function downloadJSON() {
|
||
const text = document.getElementById('exportContent').textContent;
|
||
const blob = new Blob([text], { type: 'application/json' });
|
||
const url = URL.createObjectURL(blob);
|
||
const a = document.createElement('a');
|
||
a.href = url;
|
||
a.download = 'agent-recommendations.json';
|
||
a.click();
|
||
URL.revokeObjectURL(url);
|
||
}
|
||
|
||
function closeModal() {
|
||
document.getElementById('exportModal').classList.remove('show');
|
||
}
|
||
|
||
// Tab switching
|
||
function switchTab(tabId) {
|
||
document.querySelectorAll('.tab-btn').forEach(btn => btn.classList.remove('active'));
|
||
document.querySelectorAll('.tab-panel').forEach(panel => panel.classList.remove('active'));
|
||
|
||
event.target.classList.add('active');
|
||
document.getElementById('tab-' + tabId).classList.add('active');
|
||
}
|
||
|
||
// Initialize on load
|
||
init();
|
||
</script>
|
||
</body>
|
||
</html> |