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<style>
.d3-llm-rl {
position: relative;
border: 1px solid var(--border-color);
border-radius: 12px;
background: var(--surface-bg);
overflow: hidden;
}
.d3-llm-rl__header {
display: flex; flex-wrap: wrap; align-items: center;
gap: 12px 16px; padding: 14px 18px;
border-bottom: 1px solid var(--border-color);
}
.d3-llm-rl__title {
font-size: 11px; font-weight: 800; letter-spacing: 1.2px;
text-transform: uppercase; color: var(--muted-color);
margin-right: auto;
}
.d3-llm-rl__btn {
display: inline-flex; align-items: center; gap: 6px;
padding: 6px 12px; border-radius: 7px;
border: 1px solid var(--border-color);
background: var(--surface-bg); color: var(--text-color);
font-size: 12px; font-weight: 600; cursor: pointer;
transition: border-color .12s ease, background .12s ease;
}
.d3-llm-rl__btn:hover { border-color: var(--primary-color); }
.d3-llm-rl__btn.primary {
border-color: var(--primary-color);
background: color-mix(in oklab, var(--primary-color) 12%, var(--surface-bg));
}
.d3-llm-rl__btn svg { width: 12px; height: 12px; }
.d3-llm-rl__speed {
display: inline-flex; align-items: center; gap: 8px;
font-size: 11px; color: var(--muted-color);
}
.d3-llm-rl__speed input[type=range] {
width: 110px; accent-color: var(--primary-color);
}
.d3-llm-rl__speed-val {
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
color: var(--text-color); font-size: 11px;
min-width: 38px; text-align: right;
}
/* βββ Body: agent on top, bus, environment below βββ */
.d3-llm-rl__body {
display: flex;
flex-direction: column;
padding: 18px 18px 16px 18px;
background: color-mix(in oklab, var(--muted-color) 3%, transparent);
}
.d3-llm-rl__zone {
position: relative;
border: 1px solid var(--border-color);
border-radius: 10px;
padding: 18px 16px 14px 16px;
background: var(--surface-bg);
transition: box-shadow .25s ease, border-color .25s ease;
min-width: 0;
}
/* Agent zone in top-bottom layout = horizontal strip with 3 sections */
.d3-llm-rl__zone--agent {
display: grid;
grid-template-columns: minmax(180px, 1fr) minmax(160px, 1.2fr) minmax(220px, 1.2fr);
gap: 16px;
align-items: stretch;
}
@media (max-width: 720px) {
.d3-llm-rl__zone--agent { grid-template-columns: 1fr; }
}
.d3-llm-rl__agent-section {
display: flex; flex-direction: column; gap: 6px;
min-width: 0;
}
.d3-llm-rl__agent-section + .d3-llm-rl__agent-section {
padding-left: 16px;
border-left: 1px dashed var(--border-color);
}
@media (max-width: 720px) {
.d3-llm-rl__agent-section + .d3-llm-rl__agent-section {
padding-left: 0; padding-top: 12px; border-left: none;
border-top: 1px dashed var(--border-color);
}
}
.d3-llm-rl__section-label {
font-size: 9.5px; font-weight: 800; letter-spacing: 0.8px;
text-transform: uppercase; color: var(--muted-color);
}
/* Environment zone β keep as block with internal stacking */
.d3-llm-rl__zone--env {
display: flex; flex-direction: column; gap: 12px;
}
.d3-llm-rl__zone-label {
position: absolute;
top: -9px; left: 12px;
padding: 1px 8px;
background: var(--surface-bg);
border: 1px solid var(--border-color);
border-radius: 4px;
font-size: 9.5px; font-weight: 800; letter-spacing: 1.0px;
text-transform: uppercase; color: var(--muted-color);
}
.d3-llm-rl__zone--agent.flash {
border-color: var(--primary-color);
box-shadow: 0 0 0 3px color-mix(in oklab, var(--primary-color) 22%, transparent);
}
.d3-llm-rl__policy {
background: color-mix(in oklab, var(--muted-color) 7%, transparent);
border-radius: 6px;
padding: 8px 10px;
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 11px; line-height: 1.45; color: var(--text-color);
}
.d3-llm-rl__policy-line + .d3-llm-rl__policy-line { margin-top: 2px; }
.d3-llm-rl__policy-comment { color: var(--muted-color); font-size: 10.5px; }
.d3-llm-rl__action-row {
font-size: 11px; color: var(--muted-color);
}
.d3-llm-rl__action-row .label {
display: block; margin-bottom: 4px;
}
.d3-llm-rl__action-tag {
display: inline-flex; align-items: center;
padding: 3px 9px; border-radius: 999px;
max-width: 100%; min-width: 0;
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 10.5px; font-weight: 700;
background: color-mix(in oklab, var(--primary-color) 16%, transparent);
color: var(--primary-color);
white-space: nowrap; overflow: hidden; text-overflow: ellipsis;
}
.d3-llm-rl__counters {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr));
gap: 6px 14px;
font-size: 11px;
}
.d3-llm-rl__counter {
display: flex; justify-content: space-between; color: var(--muted-color);
}
.d3-llm-rl__counter strong {
color: var(--text-color);
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-weight: 600;
}
/* Bus β horizontal strip between agent (top) and env (bottom).
Uses HTML for labels (no text stretching) and inline SVG only for the arrow shafts. */
.d3-llm-rl__bus {
display: flex;
justify-content: center;
align-items: stretch;
gap: 64px;
padding: 8px 0;
margin: 0 auto;
width: 100%;
}
.d3-llm-rl__bus-arrow {
display: flex;
align-items: center;
gap: 10px;
color: var(--muted-color);
transition: color .15s ease;
}
.d3-llm-rl__bus-arrow.is-action {}
.d3-llm-rl__bus-arrow svg {
width: 18px;
height: 40px;
flex-shrink: 0;
}
.d3-llm-rl__bus-arrow .label {
font-size: 10px;
font-weight: 700;
letter-spacing: 0.6px;
text-transform: uppercase;
color: var(--muted-color);
white-space: nowrap;
}
/* Environment zone with rollouts */
.d3-llm-rl__zone--env { padding: 18px 14px 14px 14px; }
.d3-llm-rl__task {
display: flex; align-items: flex-start; gap: 10px;
padding: 10px 12px;
border-radius: 6px;
background: color-mix(in oklab, var(--primary-color) 6%, transparent);
border: 1px solid color-mix(in oklab, var(--primary-color) 18%, var(--border-color));
}
.d3-llm-rl__task-label {
font-size: 10px; font-weight: 800; letter-spacing: 1.0px;
text-transform: uppercase; color: var(--primary-color);
flex-shrink: 0; margin-top: 2px;
}
.d3-llm-rl__task-text { font-size: 12.5px; line-height: 1.5; color: var(--text-color); }
.d3-llm-rl__task-text code {
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 11.5px;
padding: 1px 5px;
background: color-mix(in oklab, var(--muted-color) 12%, transparent);
border-radius: 4px;
}
.d3-llm-rl__rollouts {
display: grid;
grid-template-columns: repeat(2, minmax(0, 1fr)) minmax(160px, 0.85fr);
gap: 10px;
margin-top: 10px;
}
@media (max-width: 880px) { .d3-llm-rl__rollouts { grid-template-columns: 1fr; } }
.d3-llm-rl__rollout {
padding: 10px 11px 9px 11px;
display: flex; flex-direction: column;
min-height: 260px;
border: 1px solid var(--border-color);
border-radius: 8px;
min-width: 0;
}
.d3-llm-rl__rollout--placeholder {
border-style: dashed;
align-items: center;
justify-content: center;
text-align: center;
color: var(--muted-color);
background: color-mix(in oklab, var(--muted-color) 3%, transparent);
gap: 14px;
padding: 14px 12px;
}
.d3-llm-rl__more-stack {
display: flex; flex-direction: column; gap: 6px;
width: 100%;
max-width: 150px;
}
.d3-llm-rl__more-mini {
position: relative;
height: 22px;
border-radius: 6px;
background: color-mix(in oklab, var(--mc, var(--muted-color)) 10%, var(--surface-bg));
border: 1px solid color-mix(in oklab, var(--mc, var(--muted-color)) 28%, var(--border-color));
overflow: hidden;
}
.d3-llm-rl__more-mini::before {
content: '';
position: absolute;
top: 0; bottom: 0; left: 0;
width: 35%;
background: linear-gradient(90deg,
color-mix(in oklab, var(--mc, var(--primary-color)) 35%, transparent) 0%,
color-mix(in oklab, var(--mc, var(--primary-color)) 8%, transparent) 100%);
animation: lrl-more-progress 2.6s ease-in-out infinite;
animation-delay: var(--md, 0s);
animation-play-state: paused;
}
.d3-llm-rl__rollout--placeholder.running .d3-llm-rl__more-mini::before {
animation-play-state: running;
}
@keyframes lrl-more-progress {
0% { transform: translateX(-30%); opacity: 0.45; }
50% { transform: translateX(220%); opacity: 0.85; }
51% { opacity: 0; }
52% { transform: translateX(-30%); }
100% { transform: translateX(-30%); opacity: 0.45; }
}
.d3-llm-rl__more-caption {
font-size: 11px;
line-height: 1.45;
color: var(--muted-color);
text-align: center;
}
.d3-llm-rl__more-caption strong {
color: var(--text-color);
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-weight: 700;
}
.d3-llm-rl__rollout-header {
display: flex; justify-content: space-between; align-items: center;
font-size: 10px; font-weight: 800; letter-spacing: 1.0px;
text-transform: uppercase; color: var(--muted-color);
margin-bottom: 10px;
}
.d3-llm-rl__progress { display: inline-flex; gap: 3px; }
.d3-llm-rl__progress span {
width: 10px; height: 3px; border-radius: 2px;
background: color-mix(in oklab, var(--muted-color) 30%, transparent);
transition: background .25s ease;
}
.d3-llm-rl__progress span.done {
background: var(--ro-accent, var(--primary-color));
}
.d3-llm-rl__steps { display: flex; flex-direction: column; gap: 8px; flex: 1 1 auto; }
.d3-llm-rl__step {
opacity: 0; transform: translateY(4px);
transition: opacity .3s ease, transform .3s ease;
font-size: 11px; line-height: 1.45;
}
.d3-llm-rl__step.visible { opacity: 1; transform: translateY(0); }
.d3-llm-rl__step--assistant { color: var(--text-color); }
.d3-llm-rl__step--assistant::before { content: 'π€ '; opacity: 0.7; margin-right: 4px; }
.d3-llm-rl__step--assistant em { font-style: italic; opacity: 0.85; }
.d3-llm-rl__step--tool {
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 10px;
background: color-mix(in oklab, var(--muted-color) 8%, transparent);
border-left: 2px solid var(--ro-accent, var(--primary-color));
padding: 4px 8px;
border-radius: 0 4px 4px 0;
color: var(--text-color);
word-break: break-word;
}
.d3-llm-rl__step--tool .label {
font-size: 8.5px; font-weight: 800; letter-spacing: 0.8px;
text-transform: uppercase; color: var(--muted-color); margin-right: 6px;
}
.d3-llm-rl__step--response {
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 9.5px;
color: var(--muted-color);
padding: 0 0 0 9px;
white-space: pre-wrap;
border-left: 1px dashed var(--border-color);
margin-left: 4px;
}
.d3-llm-rl__step--submit {
background: color-mix(in oklab, var(--primary-color) 12%, transparent);
border: 1px solid var(--ro-accent, var(--primary-color));
border-radius: 6px;
padding: 6px 8px;
font-size: 11px;
color: var(--text-color);
overflow-wrap: anywhere;
word-break: break-word;
}
.d3-llm-rl__step--submit::before { content: 'π― '; opacity: 0.8; margin-right: 4px; }
.d3-llm-rl__step--submit code {
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-weight: 700;
font-size: 0.86em;
padding: 1px 5px;
border-radius: 4px;
background: color-mix(in oklab, var(--ro-accent, var(--primary-color)) 18%, transparent);
color: var(--text-color);
white-space: nowrap;
}
.d3-llm-rl__reward {
margin-top: auto; padding-top: 10px;
display: flex; align-items: center; gap: 8px;
flex-wrap: wrap;
font-size: 10.5px;
opacity: 0; transition: opacity .4s ease;
}
.d3-llm-rl__reward.visible { opacity: 1; }
.d3-llm-rl__reward-chip {
display: inline-flex; align-items: center;
padding: 3px 9px; border-radius: 999px;
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
font-size: 10.5px; font-weight: 800;
white-space: nowrap;
flex-shrink: 0;
}
.d3-llm-rl__reward-chip.ok {
background: color-mix(in oklab, #22c55e 16%, transparent);
color: #22c55e;
}
.d3-llm-rl__reward-chip.no {
background: color-mix(in oklab, #ef4444 16%, transparent);
color: #ef4444;
}
.d3-llm-rl__reward-meta { color: var(--muted-color); font-style: italic; }
.d3-llm-rl__caption {
padding: 10px 18px;
border-top: 1px solid var(--border-color);
font-size: 11.5px; color: var(--muted-color); font-style: italic;
}
.d3-llm-rl__caption strong { color: var(--text-color); font-style: normal; }
</style>
<script>
(() => {
const bootstrap = () => {
const scriptEl = document.currentScript;
let container = scriptEl ? scriptEl.previousElementSibling : null;
if (!(container && container.classList && container.classList.contains('d3-llm-rl'))) {
const cands = Array.from(document.querySelectorAll('.d3-llm-rl'))
.filter(el => !(el.dataset && el.dataset.mounted === 'true'));
container = cands[cands.length - 1] || null;
}
if (!container || (container.dataset && container.dataset.mounted === 'true')) return;
container.dataset.mounted = 'true';
const TASK = `Find the <code>.py</code> file with the most lines in the current directory.`;
// Two illustrative rollouts: one methodical success, one failure that guesses from
// filenames. The third panel is a "+N more rollouts" placeholder β the actual training
// loop typically samples 4β16 rollouts per prompt, but two is enough to show the shape.
const ROLLOUTS = [
{
accent: '#3b82f6',
steps: [
{ type: 'assistant', text: '<em>List the Python files first.</em>' },
{ type: 'tool', text: '$ ls *.py', toolCall: 'ls *.py' },
{ type: 'response', text: 'data.py model.py train.py' },
{ type: 'assistant', text: '<em>Now count lines.</em>' },
{ type: 'tool', text: '$ wc -l *.py', toolCall: 'wc -l *.py' },
{ type: 'response', text: ' 30 data.py\n 150 model.py\n 42 train.py\n 222 total' },
{ type: 'submit', text: 'final_answer(<code>"model.py"</code>)' }
],
reward: 1.0,
rewardNote: 'matched expected'
},
{
accent: '#ec4899',
steps: [
{ type: 'assistant', text: '<em>Quick peek at the directory.</em>' },
{ type: 'tool', text: '$ ls -la', toolCall: 'ls -la' },
{ type: 'response', text: '-rw-r--r-- data.py\n-rw-r--r-- model.py\n-rw-r--r-- train.py' },
{ type: 'assistant', text: '<em>train.py sounds like the longest.</em>' },
{ type: 'submit', text: 'final_answer(<code>"train.py"</code>)' }
],
reward: 0.0,
rewardNote: 'wrong file'
}
];
const N_MORE_ROLLOUTS = 6;
const realRolloutsHtml = ROLLOUTS.map((r, i) => `
<div class="d3-llm-rl__rollout" style="--ro-accent:${r.accent};" data-ro="${i}">
<div class="d3-llm-rl__rollout-header">
<span>Rollout ${i + 1}</span>
<span class="d3-llm-rl__progress" data-progress>
${r.steps.map(() => '<span></span>').join('')}
</span>
</div>
<div class="d3-llm-rl__steps" data-steps>
${r.steps.map((s) => {
if (s.type === 'tool') {
return `<div class="d3-llm-rl__step d3-llm-rl__step--tool"><span class="label">bash</span>${s.text.replace(/^\$\s*/, '')}</div>`;
} else if (s.type === 'response') {
return `<div class="d3-llm-rl__step d3-llm-rl__step--response">${s.text}</div>`;
} else if (s.type === 'submit') {
return `<div class="d3-llm-rl__step d3-llm-rl__step--submit">${s.text}</div>`;
}
return `<div class="d3-llm-rl__step d3-llm-rl__step--assistant">${s.text}</div>`;
}).join('')}
</div>
<div class="d3-llm-rl__reward" data-reward>
<span class="d3-llm-rl__reward-chip ${r.reward > 0 ? 'ok' : 'no'}">reward ${r.reward.toFixed(1)}</span>
<span class="d3-llm-rl__reward-meta">${r.rewardNote}</span>
</div>
</div>
`).join('');
// Build a small stack of animated mini-bars to suggest the other rollouts that
// are also running in parallel (GRPO usually samples 8β16 per prompt).
const MINI_COLORS = ['#f59e0b', '#22c55e', '#14b8a6', '#6366f1', '#06b6d4', '#eab308'];
const miniBarsHtml = Array.from({ length: N_MORE_ROLLOUTS })
.map((_, i) => {
const color = MINI_COLORS[i % MINI_COLORS.length];
const delay = (i * 0.18).toFixed(2) + 's';
return `<span class="d3-llm-rl__more-mini" style="--mc:${color}; --md:${delay};"></span>`;
}).join('');
const placeholderHtml = `
<div class="d3-llm-rl__rollout d3-llm-rl__rollout--placeholder" data-more>
<div class="d3-llm-rl__more-stack">${miniBarsHtml}</div>
<div class="d3-llm-rl__more-caption">+ <strong>N</strong> more rollouts<br>sampled in parallel</div>
</div>
`;
const rolloutsHtml = realRolloutsHtml + placeholderHtml;
container.innerHTML = `
<div class="d3-llm-rl__header">
<div class="d3-llm-rl__title">LLM RL Β· multi-rollout</div>
<button type="button" class="d3-llm-rl__btn primary" data-act="play">
<svg viewBox="0 0 24 24" fill="currentColor"><polygon points="6,4 20,12 6,20"/></svg>
<span data-label>Play</span>
</button>
<button type="button" class="d3-llm-rl__btn" data-act="reset">
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.4" stroke-linecap="round" stroke-linejoin="round">
<path d="M3 12a9 9 0 0 1 15.5-6.3L21 8"/><path d="M21 3v5h-5"/>
</svg>
<span>Reset</span>
</button>
<label class="d3-llm-rl__speed">
Speed
<input type="range" min="0.25" max="2" step="0.25" value="1" data-act="speed">
<span class="d3-llm-rl__speed-val" data-speed-val>1.00Γ</span>
</label>
</div>
<div class="d3-llm-rl__body">
<div class="d3-llm-rl__zone d3-llm-rl__zone--agent" data-agent>
<span class="d3-llm-rl__zone-label">Agent Β· LLM</span>
<div class="d3-llm-rl__agent-section">
<div class="d3-llm-rl__section-label">Model</div>
<div class="d3-llm-rl__policy">
<div class="d3-llm-rl__policy-line">samples N rollouts per task</div>
<div class="d3-llm-rl__policy-line d3-llm-rl__policy-comment">// trainer updates from rewards</div>
</div>
</div>
<div class="d3-llm-rl__agent-section">
<div class="d3-llm-rl__section-label">Last tool call</div>
<div data-stat="last-call"><span class="d3-llm-rl__action-tag">β</span></div>
</div>
<div class="d3-llm-rl__agent-section">
<div class="d3-llm-rl__section-label">Stats</div>
<div class="d3-llm-rl__counters">
<span class="d3-llm-rl__counter"><span>rollouts shown</span><strong data-stat="rollouts">0/2</strong></span>
<span class="d3-llm-rl__counter"><span>tool calls</span><strong data-stat="calls">0</strong></span>
<span class="d3-llm-rl__counter"><span>group avg</span><strong data-stat="avg">β</strong></span>
<span class="d3-llm-rl__counter"><span>group size</span><strong>${ROLLOUTS.length + N_MORE_ROLLOUTS}</strong></span>
</div>
</div>
</div>
<div class="d3-llm-rl__bus">
<div class="d3-llm-rl__bus-arrow is-action" data-bus-action>
<span class="label">tool call</span>
<svg viewBox="0 0 12 40">
<defs>
<marker id="lrl-arrow" viewBox="0 0 10 10" refX="9" refY="5" markerWidth="7" markerHeight="7" orient="auto">
<path d="M0,0 L10,5 L0,10 Z" fill="currentColor"/>
</marker>
</defs>
<line x1="6" y1="2" x2="6" y2="36" stroke="currentColor" stroke-width="1.6" marker-end="url(#lrl-arrow)"/>
</svg>
</div>
<div class="d3-llm-rl__bus-arrow is-state" data-bus-state>
<svg viewBox="0 0 12 40">
<line x1="6" y1="38" x2="6" y2="4" stroke="currentColor" stroke-width="1.6" marker-end="url(#lrl-arrow)"/>
</svg>
<span class="label">obs Β· reward</span>
</div>
</div>
<div class="d3-llm-rl__zone d3-llm-rl__zone--env">
<span class="d3-llm-rl__zone-label">Environment Β· sandboxed shell</span>
<div class="d3-llm-rl__task">
<span class="d3-llm-rl__task-label">Task</span>
<span class="d3-llm-rl__task-text">${TASK}</span>
</div>
<div class="d3-llm-rl__rollouts">${rolloutsHtml}</div>
</div>
</div>
<div class="d3-llm-rl__caption">
Each rollout is a multi-turn trace: the model writes a thought, calls a tool, reads the
output, decides what to do next, and submits an answer. The environment scores the
completed trace and returns a reward, and the training loop collects a group of these
traces per prompt to learn from. This is one shape of environment, multi-turn tool use;
LLM-based RL environments vary widely (single-turn reasoning, agentic web tasks,
code-repo agents, multi-agent setups), and the same traces can feed very different
training methods. <em>GRPO</em> is an example of <em>online RL</em>, where the policy
updates from the group right away, but the same traces can equally be stored and used
later for <em>distillation</em>, <em>offline RL</em>, or imitation learning.
</div>
`;
// βββ Refs βββ
const playBtn = container.querySelector('[data-act="play"]');
const playLabel = container.querySelector('[data-label]');
const resetBtn = container.querySelector('[data-act="reset"]');
const speedInput = container.querySelector('[data-act="speed"]');
const speedVal = container.querySelector('[data-speed-val]');
const agentBox = container.querySelector('[data-agent]');
const busAction = container.querySelector('[data-bus-action]');
const busState = container.querySelector('[data-bus-state]');
const moreEl = container.querySelector('[data-more]');
const stepEls = ROLLOUTS.map((_, i) =>
Array.from(container.querySelectorAll(`[data-ro="${i}"] .d3-llm-rl__step`))
);
const progressEls = ROLLOUTS.map((_, i) =>
Array.from(container.querySelectorAll(`[data-ro="${i}"] [data-progress] span`))
);
const rewardEls = ROLLOUTS.map((_, i) =>
container.querySelector(`[data-ro="${i}"] [data-reward]`)
);
const statEls = {
lastCall: container.querySelector('[data-stat="last-call"]'),
rollouts: container.querySelector('[data-stat="rollouts"]'),
avg: container.querySelector('[data-stat="avg"]'),
calls: container.querySelector('[data-stat="calls"]'),
updates: container.querySelector('[data-stat="updates"]')
};
// βββ State βββ
let speed = 1.0;
let running = false;
let timers = [];
let toolCallCount = 0;
let updates = 0;
const baseStepIntervalMs = 900;
const cssVar = (name) => {
const v = getComputedStyle(document.documentElement).getPropertyValue(name).trim();
return v || '#888';
};
const flashBus = (busEl, ms = 240) => {
const primary = cssVar('--primary-color') || '#6D4AFF';
const muted = cssVar('--muted-color');
busEl.style.color = primary;
busEl.querySelector('line').setAttribute('stroke-width', '2.4');
setTimeout(() => {
busEl.style.color = muted;
busEl.querySelector('line').setAttribute('stroke-width', '1.4');
}, ms);
};
const flashStateBus = (color, ms = 240) => {
const muted = cssVar('--muted-color');
busState.style.color = color;
busState.querySelector('line').setAttribute('stroke-width', '2.4');
setTimeout(() => {
busState.style.color = muted;
busState.querySelector('line').setAttribute('stroke-width', '1.4');
}, ms);
};
const setLastToolCall = (toolCall) => {
statEls.lastCall.innerHTML = `<span class="d3-llm-rl__action-tag" title="${toolCall}">$ ${toolCall}</span>`;
};
const updatePlayBtn = () => {
playLabel.textContent = running ? 'Pause' : 'Play';
playBtn.classList.toggle('primary', !running);
const svgEl = playBtn.querySelector('svg');
svgEl.innerHTML = running
? '<rect x="6" y="5" width="4" height="14" fill="currentColor"/><rect x="14" y="5" width="4" height="14" fill="currentColor"/>'
: '<polygon points="6,4 20,12 6,20" fill="currentColor"/>';
};
const clearAll = () => {
timers.forEach(t => clearTimeout(t));
timers = [];
stepEls.forEach(arr => arr.forEach(el => el.classList.remove('visible')));
progressEls.forEach(arr => arr.forEach(el => el.classList.remove('done')));
rewardEls.forEach(el => el.classList.remove('visible'));
if (moreEl) moreEl.classList.remove('running');
toolCallCount = 0;
statEls.lastCall.innerHTML = '<span class="d3-llm-rl__action-tag">β</span>';
statEls.rollouts.textContent = '0/' + ROLLOUTS.length;
statEls.avg.textContent = 'β';
statEls.calls.textContent = '0';
};
const playAll = () => {
clearAll();
running = true;
updatePlayBtn();
if (moreEl) moreEl.classList.add('running');
let rolloutsDone = 0;
const rewardsCollected = [];
const interval = baseStepIntervalMs / speed;
ROLLOUTS.forEach((r, ri) => {
r.steps.forEach((s, si) => {
const t = setTimeout(() => {
stepEls[ri][si].classList.add('visible');
progressEls[ri][si].classList.add('done');
if (s.type === 'tool') {
toolCallCount += 1;
statEls.calls.textContent = String(toolCallCount);
setLastToolCall(s.toolCall);
flashBus(busAction);
} else if (s.type === 'response') {
flashStateBus(cssVar('--muted-color'));
// briefly tint with framework accent
flashStateBus(r.accent);
} else if (s.type === 'submit') {
// submission causes the env to compute reward
}
}, (si + 1) * interval);
timers.push(t);
});
// Reveal reward shortly after last step
const tFinal = setTimeout(() => {
rewardEls[ri].classList.add('visible');
rolloutsDone += 1;
rewardsCollected.push(r.reward);
statEls.rollouts.textContent = `${rolloutsDone}/${ROLLOUTS.length}`;
// bus flashes green/red for the reward signal returning
flashStateBus(r.reward > 0 ? '#22c55e' : '#ef4444', 320);
if (rolloutsDone === ROLLOUTS.length) {
const avg = rewardsCollected.reduce((a, b) => a + b, 0) / rewardsCollected.length;
statEls.avg.textContent = avg.toFixed(2);
// The other parallel rollouts also "finish" with the group β stop their animation.
if (moreEl) moreEl.classList.remove('running');
setTimeout(() => {
updates += 1;
statEls.updates.textContent = String(updates);
agentBox.classList.add('flash');
setTimeout(() => agentBox.classList.remove('flash'), 800);
running = false;
updatePlayBtn();
}, 500);
}
}, (r.steps.length + 1) * interval);
timers.push(tFinal);
});
};
const pauseAll = () => {
timers.forEach(t => clearTimeout(t));
timers = [];
if (moreEl) moreEl.classList.remove('running');
running = false;
updatePlayBtn();
};
playBtn.addEventListener('click', () => {
if (running) {
pauseAll();
} else {
const allDone = stepEls.every(arr => arr.every(el => el.classList.contains('visible')));
if (allDone) clearAll();
playAll();
}
});
resetBtn.addEventListener('click', () => {
pauseAll();
clearAll();
updates = 0;
statEls.updates.textContent = '0';
});
speedInput.addEventListener('input', () => {
speed = parseFloat(speedInput.value);
speedVal.textContent = speed.toFixed(2) + 'Γ';
});
// Auto-play once when scrolled into view
const io = new IntersectionObserver((entries) => {
entries.forEach(en => {
if (en.isIntersecting && !running) {
const anyVisible = stepEls.some(arr => arr.some(el => el.classList.contains('visible')));
if (!anyVisible) playAll();
io.disconnect();
}
});
}, { threshold: 0.4 });
io.observe(container);
};
if (document.readyState === 'loading') {
document.addEventListener('DOMContentLoaded', bootstrap, { once: true });
} else {
bootstrap();
}
})();
</script>
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