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<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>aiprompt-marie-kondo — Image & Prompt Manager</title>
<style>
:root {
--bg: #14161a;
--bg-elev: #1c1f26;
--bg-cell: #23272f;
--border: #2e333d;
--text: #e7e9ee;
--text-dim: #9aa1ad;
--accent: #4f8cff;
--accent-dim: #2c4a80;
--ok: #37c07a;
--ok-dim: #1e5a3c;
--none: #6b7280;
--warn: #e0a13a;
--error: #e5484d;
--dirty: #e0a13a;
--star: #f2c14e;
--cell-radius: 8px;
font-family: system-ui, -apple-system, "Segoe UI", Roboto, sans-serif;
}
* { box-sizing: border-box; }
/* `hidden` must win even over flex/grid/absolute display rules below. */
[hidden] { display: none !important; }
html, body {
margin: 0;
height: 100%;
background: var(--bg);
color: var(--text);
overflow: hidden;
}
body {
display: flex;
flex-direction: column;
}
/* ---------- Buttons & inputs ---------- */
.btn {
background: var(--bg-cell);
color: var(--text);
border: 1px solid var(--border);
border-radius: 6px;
padding: 7px 12px;
font-size: 13px;
cursor: pointer;
line-height: 1;
white-space: nowrap;
}
.btn:hover { border-color: var(--accent-dim); }
.btn:active { transform: translateY(1px); }
.btn.primary { background: var(--accent); border-color: var(--accent); color: #fff; }
.btn.primary:hover { filter: brightness(1.08); }
.btn.danger:hover { border-color: var(--error); color: var(--error); }
.btn:disabled { opacity: 0.45; cursor: default; }
/* ---------- Overflow menu ("⋮") ----------
Used by the prompt-editor header and every scene header: the occasional
actions live here so a header row never has to wrap. */
.action-menu { position: relative; }
.action-menu-btn { padding: 7px 9px; font-size: 14px; }
.action-menu-list {
position: absolute;
top: calc(100% + 4px);
right: 0;
z-index: 5;
min-width: 190px;
display: flex;
flex-direction: column;
padding: 4px;
border: 1px solid var(--border);
border-radius: 8px;
background: var(--bg-cell);
box-shadow: 0 10px 26px rgba(0, 0, 0, 0.5);
}
/* Near the bottom of the scrolling list the menu opens upwards (openActionMenu). */
.action-menu.flip-up .action-menu-list { top: auto; bottom: calc(100% + 4px); }
.action-menu-item {
border: none;
border-radius: 6px;
background: transparent;
color: var(--text);
padding: 7px 10px;
font-size: 13px;
text-align: left;
white-space: nowrap;
cursor: pointer;
}
.action-menu-item:hover:not(:disabled) { background: var(--accent-dim); }
.action-menu-item:disabled { opacity: 0.45; cursor: default; }
.action-menu-item.danger { color: var(--error); }
.action-menu-item.danger:hover:not(:disabled) { background: rgba(229, 72, 77, 0.16); }
.search {
width: 100%;
max-width: 520px;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 8px 12px;
font-size: 13px;
outline: none;
}
.search:focus { border-color: var(--accent); }
/* ---------- App nav (section switch) ---------- */
#appnav {
display: flex;
align-items: center;
flex-wrap: wrap; /* narrow windows: wrap instead of pushing buttons off screen */
gap: 20px;
padding: 8px 14px;
background: #0f1115;
border-bottom: 1px solid var(--border);
flex: 0 0 auto;
}
.brand { font-weight: 700; font-size: 14px; }
.sections { display: flex; gap: 4px; }
.tab {
background: transparent;
border: 1px solid transparent;
color: var(--text-dim);
padding: 6px 12px;
border-radius: 6px;
cursor: pointer;
font-size: 13px;
}
.tab:hover { color: var(--text); }
.tab.active { background: var(--bg-cell); border-color: var(--border); color: var(--text); }
/* ---------- Sections ---------- */
.section {
flex: 1 1 auto;
min-height: 0;
display: flex;
flex-direction: column;
position: relative; /* scopes the detail overlay to the section */
}
/* ---------- Top bar ---------- */
#topbar, .topbar {
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 16px;
padding: 10px 14px;
background: var(--bg-elev);
border-bottom: 1px solid var(--border);
flex: 0 0 auto;
}
.bar-left { display: flex; align-items: center; flex-wrap: wrap; gap: 10px; min-width: 0; }
.bar-center { flex: 1 1 220px; display: flex; justify-content: center; min-width: 0; }
.bar-right { display: flex; align-items: center; flex-wrap: wrap; gap: 14px; }
.folder-name {
color: var(--text-dim);
font-size: 13px;
max-width: 220px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.filters { display: flex; gap: 4px; }
.chip {
background: transparent;
border: 1px solid var(--border);
color: var(--text-dim);
padding: 6px 10px;
font-size: 12px;
border-radius: 999px;
cursor: pointer;
}
.chip:hover { color: var(--text); }
.chip.active { background: var(--accent-dim); border-color: var(--accent); color: #fff; }
.counts { font-size: 12px; color: var(--text-dim); white-space: nowrap; }
/* ---------- Grid ---------- */
.grid-view { flex: 1 1 auto; position: relative; min-height: 0; }
.grid-scroll {
position: absolute;
inset: 0;
overflow-y: auto;
overflow-x: hidden;
padding: 12px;
}
.grid-inner { position: relative; width: 100%; }
.cell {
position: absolute;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: var(--cell-radius);
overflow: hidden;
cursor: pointer;
}
.cell:hover { border-color: var(--accent); }
.cell.dirty { box-shadow: inset 0 0 0 2px var(--dirty); }
.cell .thumb {
width: 100%;
height: 100%;
object-fit: cover;
display: block;
opacity: 0;
transition: opacity 0.2s ease;
background:
repeating-conic-gradient(#20242c 0% 25%, #262b34 0% 50%) 50% / 20px 20px;
}
.cell .thumb.loaded { opacity: 1; }
.badge {
position: absolute;
top: 6px;
right: 6px;
width: 22px;
height: 22px;
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
font-size: 12px;
font-weight: 700;
color: #fff;
border: 2px solid rgba(0,0,0,0.35);
}
.badge.has { background: var(--ok); }
.badge.no { background: var(--none); }
.empty-state {
position: absolute;
inset: 0;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: 4px;
text-align: center;
pointer-events: none;
}
.empty-state .muted { color: var(--text-dim); font-size: 13px; }
/* ---------- Detail ---------- */
.detail-view {
position: absolute;
inset: 0;
top: 0;
display: flex;
flex-direction: column;
background: var(--bg);
z-index: 20;
}
.detail-top {
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 10px;
padding: 10px 14px;
background: var(--bg-elev);
border-bottom: 1px solid var(--border);
}
.detail-title {
font-size: 13px;
color: var(--text);
max-width: 40%;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.dirty-flag { color: var(--dirty); font-size: 12px; }
.spacer { flex: 1 1 auto; }
.detail-body {
flex: 1 1 auto;
display: grid;
/* Prompt is the focus: it takes the large column on the left; the image
sits in a narrow column on the right. */
grid-template-columns: 1fr 420px;
grid-template-rows: minmax(0, 1fr);
min-height: 0;
}
.detail-image {
display: flex;
align-items: center;
justify-content: center;
padding: 16px;
background: #0e0f12;
min-width: 0;
min-height: 0;
}
/* Privacy: hide the original — the editor takes the full width. */
.detail-view.img-hidden .detail-body { grid-template-columns: 1fr 0; }
.detail-view.img-hidden .detail-image { display: none; }
.detail-image img {
max-width: 100%;
max-height: 100%;
object-fit: contain;
}
.detail-edit {
display: flex;
flex-direction: column;
border-right: 1px solid var(--border);
min-width: 0;
min-height: 0;
}
.prompt-editor {
flex: 1 1 auto;
resize: none;
background: var(--bg-cell);
color: var(--text);
border: none;
outline: none;
padding: 16px;
font-size: 14px;
line-height: 1.5;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
}
.detail-meta {
flex: 0 0 auto;
padding: 10px 16px;
border-top: 1px solid var(--border);
color: var(--text-dim);
font-size: 12px;
}
/* ---------- Banner ---------- */
.banner {
background: var(--error);
color: #fff;
padding: 10px 14px;
font-size: 13px;
}
.banner code { background: rgba(0,0,0,0.25); padding: 1px 5px; border-radius: 4px; }
/* ---------- Toasts ---------- */
.toasts {
position: fixed;
top: 16px;
right: 16px;
display: flex;
flex-direction: column;
gap: 8px;
z-index: 300;
max-width: 380px;
}
.toast {
background: var(--bg-elev);
border: 1px solid var(--border);
border-left: 3px solid var(--accent);
border-radius: 6px;
padding: 10px 12px;
font-size: 13px;
box-shadow: 0 6px 20px rgba(0,0,0,0.4);
display: flex;
flex-direction: column;
gap: 8px;
}
.toast.warn { border-left-color: var(--warn); }
.toast.error { border-left-color: var(--error); }
.toast .toast-actions { display: flex; gap: 8px; justify-content: flex-end; }
.toast .toast-actions .btn { padding: 5px 10px; font-size: 12px; }
/* ---------- Modal (help / example) ---------- */
.modal {
position: fixed;
inset: 0;
z-index: 200;
display: flex;
align-items: center;
justify-content: center;
}
.modal-backdrop {
position: absolute;
inset: 0;
background: rgba(0, 0, 0, 0.6);
}
.modal-box {
position: relative;
z-index: 1;
width: min(860px, 92vw);
max-height: 86vh;
display: flex;
flex-direction: column;
overflow: hidden;
background: var(--bg-elev);
border: 1px solid var(--border);
border-radius: 10px;
box-shadow: 0 20px 60px rgba(0, 0, 0, 0.5);
}
.modal-head {
display: flex;
align-items: center;
gap: 10px;
padding: 12px 14px;
border-bottom: 1px solid var(--border);
}
.modal-title { font-weight: 600; font-size: 14px; }
.modal-body {
flex: 1 1 auto;
min-height: 0;
overflow: auto;
padding: 16px;
color: var(--text);
font-size: 13px;
line-height: 1.55;
}
.modal-body.pre {
white-space: pre-wrap;
word-break: break-word;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
}
.modal-html p { margin: 0 0 12px; }
.modal-html p:last-child { margin-bottom: 0; }
.modal-html .note {
border-left: 3px solid var(--border);
padding-left: 10px;
color: var(--text-dim);
}
.modal-html h3 {
margin: 22px 0 10px;
padding-bottom: 6px;
border-bottom: 1px solid var(--border);
font-size: 15px;
font-weight: 700;
color: var(--text);
}
.modal-html h3:first-child { margin-top: 0; }
.modal-html h4 {
margin: 18px 0 8px;
font-size: 13px;
font-weight: 700;
color: var(--text);
}
.modal-html h4:first-child { margin-top: 0; }
.modal-html blockquote {
margin: 0 0 12px;
border-left: 3px solid var(--border);
padding-left: 10px;
color: var(--text-dim);
}
.modal-html details { margin: 0 0 12px; }
.modal-html summary { cursor: pointer; color: var(--accent); margin-bottom: 8px; }
.modal-html strong { color: var(--text); }
.modal-html ul { margin: 0 0 12px; padding-left: 20px; }
.modal-html li { margin: 0 0 5px; }
.modal-html code {
background: var(--bg);
border: 1px solid var(--border);
border-radius: 4px;
padding: 1px 5px;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
font-size: 12px;
}
.modal-html pre.code {
background: var(--bg);
border: 1px solid var(--border);
border-radius: 6px;
padding: 10px 12px;
margin: 0 0 12px;
overflow-x: auto;
white-space: pre-wrap;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
font-size: 12px;
}
.modal-html table {
width: 100%;
border-collapse: collapse;
margin: 0 0 12px;
font-size: 12px;
}
.modal-html th,
.modal-html td {
border: 1px solid var(--border);
padding: 6px 8px;
text-align: left;
vertical-align: top;
}
.modal-html th { background: var(--bg-cell); }
/* AI settings button status dot: grey=unconfigured, amber=unreachable/checking,
green=connected. */
#llmSettingsBtn { display: inline-flex; align-items: center; }
.llm-dot {
display: inline-block;
width: 8px;
height: 8px;
border-radius: 50%;
margin-right: 7px;
background: var(--none);
}
.llm-dot-off { background: var(--none); }
.llm-dot-warn { background: var(--warn); }
.llm-dot-on { background: var(--ok); }
.llm-dot-checking { background: var(--warn); animation: llm-dot-pulse 1s ease-in-out infinite; }
@keyframes llm-dot-pulse { 0%, 100% { opacity: 1; } 50% { opacity: 0.3; } }
/* ---------- AI settings dialog ---------- */
.llm-form { display: flex; flex-direction: column; gap: 14px; max-width: 560px; }
.llm-field { display: flex; flex-direction: column; gap: 5px; }
.llm-label {
font-size: 11px;
color: var(--text);
text-transform: uppercase;
letter-spacing: 0.04em;
}
.llm-label .muted { text-transform: none; letter-spacing: 0; color: var(--text-dim); }
.llm-input {
width: 100%;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 7px 10px;
font-size: 13px;
outline: none;
}
.llm-input:focus { border-color: var(--accent); }
.llm-input-narrow { width: 100px; }
.llm-checkline {
display: flex;
align-items: center;
gap: 8px;
font-size: 13px;
color: var(--text);
cursor: pointer;
}
.llm-checkline input { accent-color: var(--accent); cursor: pointer; }
.llm-model-row { display: flex; gap: 8px; align-items: center; }
.llm-model-row .llm-input { flex: 1 1 auto; }
.llm-actions { display: flex; align-items: center; gap: 12px; margin-top: 4px; }
.llm-reset { padding: 3px 9px; font-size: 11px; }
/* ---------- Prompt-templates manager (full-screen, sidebar + pane) ---------- */
.modal-front { z-index: 210; } /* sits above the AI-settings dialog */
.modal-box-xl { width: min(1200px, 96vw); height: 90vh; max-height: 90vh; }
.pt-body { display: flex; padding: 0; overflow: hidden; }
.pt-layout {
flex: 1 1 auto;
min-height: 0;
width: 100%;
display: grid;
grid-template-columns: 220px 1fr;
}
.pt-sidebar {
border-right: 1px solid var(--border);
background: var(--bg-elev);
overflow-y: auto;
min-height: 0;
padding: 10px;
display: flex;
flex-direction: column;
gap: 4px;
}
.pt-sidebar-item {
text-align: left;
background: transparent;
border: 1px solid transparent;
color: var(--text-dim);
padding: 8px 10px;
border-radius: 6px;
cursor: pointer;
font-size: 13px;
}
.pt-sidebar-item:hover { color: var(--text); }
.pt-sidebar-item.active {
background: var(--bg-cell);
border-color: var(--border);
color: var(--text);
}
.pt-pane {
overflow-y: auto;
min-height: 0;
padding: 16px;
display: flex;
flex-direction: column;
gap: 18px;
}
.pt-area-title {
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.04em;
color: var(--text);
font-weight: 600;
margin: 14px 6px 4px;
}
.pt-area-title:first-child { margin-top: 0; }
.pt-type-title {
font-size: 10px;
text-transform: uppercase;
letter-spacing: 0.04em;
color: var(--text-dim);
margin: 6px 6px 2px 14px;
}
.pt-sidebar-item.pt-nested { margin-left: 10px; }
.pt-purpose-title { font-weight: 600; font-size: 15px; }
.pt-tpl-bar {
display: flex;
align-items: center;
gap: 8px;
padding-bottom: 12px;
border-bottom: 1px solid var(--border);
}
.pt-tpl-bar .llm-label { flex: 0 0 auto; }
.pt-tpl-bar select { flex: 1 1 auto; }
.pt-field { display: flex; flex-direction: column; gap: 5px; }
.pt-field-head { display: flex; align-items: center; gap: 10px; }
.pt-field-head .llm-label { flex: 1 1 auto; }
.pt-textarea { min-height: 160px; }
.llm-status { font-size: 12px; color: var(--text-dim); }
.llm-status.ok { color: var(--accent); }
.llm-status.warn { color: var(--warn); }
.llm-status.error { color: var(--error); }
/* ---------- Generate-with-AI dialog (image prompts) ---------- */
/* Roomy modal: it can hold a lot of generated text, so give it width + height
and let the result area grow to fill whatever space is left. */
.modal-box-lg { width: min(1100px, 95vw); height: 88vh; max-height: 88vh; }
.modal-box-lg .modal-body { display: flex; flex-direction: column; }
.ai-gen { display: flex; flex-direction: column; gap: 14px; flex: 1 1 auto; min-height: 0; }
.llm-field-grow { flex: 1 1 auto; min-height: 0; }
.llm-field-grow .ai-gen-ta { flex: 1 1 auto; height: 100%; min-height: 160px; resize: none; }
.ai-gen-cols { display: flex; gap: 16px; align-items: flex-start; flex-wrap: wrap; }
.ai-gen-image {
flex: 0 0 200px;
display: flex;
flex-direction: column;
gap: 6px;
}
.ai-gen-image img {
width: 100%;
max-height: 240px;
object-fit: contain;
border: 1px solid var(--border);
border-radius: 8px;
background: var(--bg-cell);
}
.ai-gen-image .btn { width: 100%; }
.ai-gen-image .muted { font-size: 11px; word-break: break-all; }
.ai-gen-imgnote { font-style: italic; }
.ai-gen-fields { flex: 1 1 320px; display: flex; flex-direction: column; gap: 12px; min-width: 0; }
.ai-gen-ta {
width: 100%;
box-sizing: border-box;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 8px 10px;
font-size: 13px;
line-height: 1.5;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
resize: vertical;
outline: none;
}
.ai-gen-ta:focus { border-color: var(--accent); }
.ai-gen-ta[readonly] { opacity: 0.8; cursor: default; }
.ai-gen-result { min-height: 140px; }
.ai-gen-actions { display: flex; align-items: center; gap: 12px; }
/* ---------- Prompt library ---------- */
.lib-body {
flex: 1 1 auto;
min-height: 0;
position: relative;
display: grid;
grid-template-columns: 300px 1fr;
/* Fill the container height so the editor (and its textarea) can grow to the
full available height instead of collapsing to content height. */
grid-template-rows: minmax(0, 1fr);
}
.lib-list {
overflow-y: auto;
min-height: 0;
border-right: 1px solid var(--border);
background: var(--bg-elev);
}
/* Collapsed master list — the editor takes the full width. The track count must
drop to ONE: `display:none` takes the list out of grid flow, so with two
tracks the editor would auto-place into the (now 0-wide) first column. */
.lib-body.list-collapsed { grid-template-columns: minmax(0, 1fr); }
.lib-body.list-collapsed .lib-list { display: none; }
/* Compact glyph button that collapses/expands the list. */
.lib-list-toggle { padding: 7px 9px; }
.lib-item {
padding: 10px 12px;
border-bottom: 1px solid var(--border);
cursor: pointer;
}
.lib-item:hover { background: var(--bg-cell); }
.lib-item.active { background: var(--accent-dim); }
.lib-item .t {
font-size: 13px;
color: var(--text);
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.lib-item .tags {
font-size: 11px;
color: var(--text-dim);
margin-top: 3px;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.lib-right {
position: relative;
min-width: 0;
min-height: 0;
display: flex;
}
.lib-editor {
flex: 1 1 auto;
display: flex;
flex-direction: column;
min-width: 0;
}
.lib-empty {
flex: 1 1 auto;
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: 4px;
text-align: center;
padding: 24px;
}
.lib-empty .muted { color: var(--text-dim); font-size: 13px; }
.lib-empty code { background: rgba(0,0,0,0.25); padding: 1px 5px; border-radius: 4px; }
.lib-edit-top {
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 10px;
padding: 10px 12px;
border-bottom: 1px solid var(--border);
}
.lib-title-input {
/* Shrinks before anything else, so the type, stars and actions to its right
stay on screen; below ~900px it takes a row of its own (see the end). */
flex: 1 1 220px;
min-width: 0;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 7px 10px;
font-size: 14px;
outline: none;
}
.lib-title-input:focus { border-color: var(--accent); }
/* Prompt-type selector in the editor header. */
.lib-type-select {
flex: 0 0 auto;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 6px 8px;
font-size: 12px;
outline: none;
}
.lib-type-select:focus { border-color: var(--accent); }
/* Plain-text body editor for the "default" prompt type. */
.lib-body-edit { padding: 12px; }
.lib-body-text {
width: 100%;
box-sizing: border-box;
min-height: 240px;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 8px;
color: var(--text);
padding: 10px 12px;
font-size: 13px;
line-height: 1.55;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
resize: none;
overflow: hidden; /* height managed by auto-grow */
outline: none;
}
.lib-body-text:focus { border-color: var(--accent); }
/* Header row above the global/override sections (holds the ✨ Generate button). */
.lib-global-head {
display: flex;
flex-direction: column;
align-items: flex-start;
gap: 8px;
padding: 10px 12px 0;
}
.lib-global-title {
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.04em;
color: var(--text);
font-weight: 600;
}
/* Subject-definitions builder row in the globals generator. */
.gen-subj-row { display: flex; align-items: center; flex-wrap: wrap; gap: 8px; }
.gen-subj-row .llm-input { width: auto; flex: 0 0 auto; }
.gen-next-label {
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
font-size: 13px;
color: var(--accent);
}
.gen-file { font-size: 12px; color: var(--text-dim); max-width: 220px; }
.gen-help-row { display: flex; align-items: center; gap: 6px; }
/* Reference list in the globals generator (source of truth = the textareas). */
.gen-list { display: flex; flex-direction: column; gap: 4px; }
.gen-item {
display: flex;
align-items: center;
gap: 8px;
padding: 4px 6px;
border: 1px solid var(--border);
border-radius: 6px;
background: var(--bg-cell);
}
.gen-item-btn { padding: 2px 8px; font-size: 12px; line-height: 1.2; }
.gen-item-label {
flex: 0 0 auto;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
font-size: 12px;
color: var(--accent);
}
.gen-item-preview {
flex: 1 1 auto;
min-width: 0;
font-size: 12px;
color: var(--text-dim);
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
/* ---------- Rating (prompt metadata) ---------- */
.rating { display: inline-flex; gap: 1px; }
.rating .star {
background: none;
border: none;
padding: 0 2px;
cursor: pointer;
line-height: 1;
font-size: 18px;
color: var(--text-dim);
}
.rating .star.on { color: var(--star); }
.rating:hover .star { color: var(--text-dim); }
.rating:hover .star.hot { color: var(--star); }
.lib-item .stars { color: var(--star); }
/* Scrollable editor body (global field + scenes share one scroll region) */
.lib-scroll {
flex: 1 1 auto;
min-height: 0;
overflow-y: auto;
}
.lib-global {
padding: 12px 12px 0;
}
/* Prompt-level metadata block (loras, …) above the global sections. */
.lib-meta {
padding: 12px 12px 0;
border-bottom: 1px solid var(--border);
padding-bottom: 12px;
}
.lib-meta .scene-label-row { margin-top: 0; }
.lib-meta label {
font-size: 11px;
color: var(--text);
text-transform: uppercase;
letter-spacing: 0.04em;
}
.lib-loras-input {
width: 100%;
background: var(--bg-cell);
border: 1px solid var(--border);
border-radius: 6px;
color: var(--text);
padding: 7px 10px;
font-size: 13px;
outline: none;
}
.lib-loras-input:focus { border-color: var(--accent); }
.global-tag {
margin-left: 8px;
font-size: 10px;
color: var(--accent);
border: 1px solid var(--accent-dim);
border-radius: 999px;
padding: 1px 7px;
text-transform: uppercase;
letter-spacing: 0.04em;
vertical-align: middle;
}
/* Scenes list + cards */
.lib-scenes {
padding: 12px;
display: flex;
flex-direction: column;
gap: 14px;
}
.lib-scenes-footer {
flex: 0 0 auto;
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 14px;
padding: 10px 12px;
border-top: 1px solid var(--border);
}
.scene-card {
border: 1px solid var(--border);
border-radius: 8px;
background: var(--bg-elev);
}
.scene-head {
display: flex;
align-items: center;
flex-wrap: wrap;
gap: 8px;
padding: 8px 10px;
border-bottom: 1px solid var(--border);
}
.scene-card.collapsed .scene-head { border-bottom: none; }
.scene-card.collapsed .scene-body { display: none; }
.scene-toggle {
width: 20px;
height: 20px;
padding: 0;
line-height: 1;
border: none;
background: transparent;
color: var(--text-dim);
font-size: 11px;
cursor: pointer;
}
.scene-toggle:hover { color: var(--text); }
.scene-title { font-weight: 600; font-size: 13px; cursor: pointer; user-select: none; }
/* Compact reorder arrows in the scene header. */
.scene-move { padding: 7px 9px; font-size: 12px; }
/* "Incomplete" badge + card accent for scenes missing a required section. */
.scene-status {
font-size: 10px;
color: var(--warn);
border: 1px solid var(--warn);
border-radius: 999px;
padding: 1px 7px;
text-transform: uppercase;
letter-spacing: 0.04em;
white-space: nowrap;
}
.scene-card.incomplete { border-color: var(--warn); }
.lib-incomplete { color: var(--warn); }
.scene-body { padding: 10px 12px 12px; }
/* Optional per-scene overrides (subject_definitions, retention_analysis),
hidden by default behind a toggle to save space. */
.scene-overrides {
margin-bottom: 12px;
border: 1px dashed var(--border);
border-radius: 6px;
background: var(--bg-cell);
}
.scene-overrides-toggle {
display: block;
width: 100%;
text-align: left;
padding: 7px 10px;
border: none;
background: transparent;
color: var(--text-dim);
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.04em;
cursor: pointer;
}
.scene-overrides-toggle:hover { color: var(--text); }
.scene-overrides-body { padding: 0 10px 10px; }
.scene-override-gen { margin: 4px 0 10px; }
.scene-overrides.collapsed { border-style: solid; }
.scene-overrides.collapsed .scene-overrides-body { display: none; }
/* A scene that actually overrides a global section is marked in green, so a
collapsed group still tells you an override is applied (and to which
sections) without expanding it. */
.scene-overrides.has-override { border-color: var(--ok-dim); }
.scene-overrides.has-override .scene-overrides-toggle { color: var(--ok); }
.scene-overrides.has-override.collapsed { background: var(--ok-dim); }
.scene-overrides.has-override.collapsed .scene-overrides-toggle { color: var(--text); }
/* Section names inside the label keep their on-disk lowercase spelling. */
.scene-overrides-names {
text-transform: none;
letter-spacing: 0;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
}
.scene-overrides-body > .scene-label-row:first-child { margin-top: 4px; }
/* The override group supplies the gap below it, so the next label sits tight. */
.scene-overrides + .scene-label-row { margin-top: 0; }
/* Task-type checkboxes below the summary label, above the field */
.task-types { margin: 2px 0 6px; }
.task-types-grid {
display: flex;
flex-wrap: wrap;
gap: 6px 16px;
}
.task-type {
display: flex;
align-items: center;
gap: 6px;
font-size: 12px;
color: var(--text-dim);
cursor: pointer;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
}
.task-type input { accent-color: var(--accent); cursor: pointer; }
.scene-label-row {
display: flex;
align-items: center;
gap: 6px;
margin: 12px 0 2px;
}
.scene-body > .scene-label-row:first-child { margin-top: 0; }
.scene-body label {
font-size: 11px;
color: var(--text);
text-transform: uppercase;
letter-spacing: 0.04em;
}
.section-help {
width: 18px;
height: 18px;
padding: 0;
line-height: 1;
border-radius: 50%;
border: 1px solid var(--border);
background: var(--bg-cell);
color: var(--text-dim);
font-size: 11px;
font-weight: 700;
cursor: pointer;
}
.section-help:hover { color: var(--text); border-color: var(--accent); }
.scene-hint {
margin: 0 0 6px;
font-size: 11px;
font-style: italic;
color: var(--text-dim);
}
/* Live word count on the detailed_description label row (pushed to the right). */
.word-count {
margin-left: auto;
font-size: 11px;
color: var(--text-dim);
font-variant-numeric: tabular-nums;
white-space: nowrap;
}
/* Highlight overlay: backdrop <div> behind a transparent <textarea>.
Both must share identical box metrics so tokens line up exactly. */
.hl-wrap { position: relative; }
.hl-backdrop,
.scene-section {
box-sizing: border-box;
width: 100%;
margin: 0;
padding: 8px 10px;
border: 1px solid transparent;
border-radius: 6px;
font-family: ui-monospace, "SF Mono", Menlo, Consolas, monospace;
font-size: 13px;
line-height: 1.5;
white-space: pre-wrap;
overflow-wrap: break-word;
}
.hl-backdrop {
position: absolute;
inset: 0;
z-index: 0;
overflow: hidden;
background: var(--bg-cell);
color: transparent; /* only the <mark> backgrounds show through */
pointer-events: none;
user-select: none;
}
.hl-backdrop mark {
margin: 0;
padding: 0; /* padding would shift following glyphs out of alignment */
color: transparent;
border-radius: 3px;
background: transparent;
}
.hl-backdrop mark.hl-shot { background: rgba(55, 192, 122, 0.30); } /* [Shot N] */
.hl-backdrop mark.hl-bracket { background: rgba(224, 161, 58, 0.32); } /* [task type] */
.hl-backdrop mark.hl-angle { background: rgba(79, 140, 255, 0.32); } /* <Subject N> */
.scene-section {
display: block;
position: relative;
z-index: 1;
border-color: var(--border);
background: transparent; /* let the backdrop show behind */
color: var(--text);
caret-color: var(--text);
resize: none;
overflow: hidden; /* height is managed by auto-grow */
min-height: 40px;
}
.scene-section:focus { border-color: var(--accent); outline: none; }
/* Two-mode empty state for the library pane. */
#libEmpty .lib-empty-select { display: none; }
#libEmpty[data-mode="select"] .lib-empty-nofolder { display: none; }
#libEmpty[data-mode="select"] .lib-empty-select { display: block; }
/* ---------- Narrow / portrait windows ----------
This is a desktop tool, but in a small or 9:16 window the fixed two-column
layouts leave one side with (almost) no width and the toolbars run off the
edge. Every bar above wraps; here the columns give way instead. */
@media (max-width: 900px) {
/* Prompt editor header: the title takes its own row so the type selector,
stars and action buttons below it are always reachable. */
.lib-title-input { flex: 1 1 100%; }
/* Master list: proportional instead of a fixed 300px, so the editor keeps the
larger share. "⟨" / Ctrl+B still hides it entirely. */
.lib-body { grid-template-columns: minmax(140px, 24%) minmax(0, 1fr); }
/* Image detail: stack the prompt over the image — a fixed 420px image column
would squeeze the editor to nothing. */
.detail-body {
grid-template-columns: minmax(0, 1fr);
grid-template-rows: minmax(0, 1fr) 35vh;
}
.detail-edit { border-right: none; border-bottom: 1px solid var(--border); }
/* Image hidden: reclaim the row it left behind (the columns rule above the
.img-hidden one still applies, it just has one visible child). */
.detail-view.img-hidden .detail-body { grid-template-rows: minmax(0, 1fr); }
.detail-title { max-width: 100%; }
/* Prompt-templates modal: same treatment for its fixed sidebar. */
.pt-layout { grid-template-columns: minmax(120px, 30%) minmax(0, 1fr); }
}
</style>
</head>
<body>
<!-- Unsupported-browser banner -->
<div id="unsupported" class="banner" hidden>
This app needs the <strong>File System Access API</strong>. Please use a recent
version of <strong>Chrome, Edge or Opera</strong>, served over <code>localhost</code>.
</div>
<!-- Top-level section switch -->
<header id="appnav">
<div class="brand">aiprompt-marie-kondo</div>
<nav class="sections" aria-label="Sections">
<button class="tab active" data-section="images">Image prompts</button>
<button class="tab" data-section="library">Prompt library</button>
</nav>
<span class="spacer"></span>
<button id="askAiBtn" class="btn" title="Ask the LLM anything (scratchpad)">💬 Ask AI</button>
<button id="llmSettingsBtn" class="btn" title="Configure the AI / LLM connection used across the app">
<span id="llmStatusDot" class="llm-dot llm-dot-off"></span>AI settings
</button>
</header>
<!-- ================= IMAGE PROMPTS SECTION ================= -->
<div id="imagesSection" class="section">
<header id="topbar" class="topbar">
<div class="bar-left">
<button id="openBtn" class="btn primary">Open folder…</button>
<button id="reopenBtn" class="btn" hidden></button>
<span id="folderName" class="folder-name"></span>
</div>
<div class="bar-center">
<input id="search" class="search" type="text"
placeholder="Search prompts… (Ctrl+F)" autocomplete="off" spellcheck="false" />
</div>
<div class="bar-right">
<div class="filters" role="group" aria-label="Filter">
<button class="chip active" data-filter="all">All</button>
<button class="chip" data-filter="with">With prompt</button>
<button class="chip" data-filter="without">No prompt</button>
</div>
<span id="counts" class="counts"></span>
</div>
</header>
<!-- GRID VIEW -->
<main id="gridView" class="grid-view">
<div id="grid" class="grid-scroll">
<div id="gridInner" class="grid-inner"></div>
</div>
<div id="empty" class="empty-state">
<p>Open a folder of images to begin.</p>
<p class="muted">Every image is shown with a badge telling you whether it has a prompt.</p>
</div>
</main>
<!-- DETAIL VIEW -->
<section id="detailView" class="detail-view" hidden>
<div class="detail-top">
<button id="backBtn" class="btn">← Back</button>
<span id="detailTitle" class="detail-title"></span>
<span id="dirtyFlag" class="dirty-flag" hidden>● Unsaved</span>
<span class="spacer"></span>
<button id="toggleImgBtn" class="btn" title="Hide the image for privacy">Hide image ⟩</button>
<button id="renameBtn" class="btn" title="Rename image (and its .txt)">Rename</button>
<button id="deleteBtn" class="btn danger" title="Delete image (and its .txt) from disk">Delete</button>
<button id="prevBtn" class="btn" title="Previous (←)">←</button>
<button id="nextBtn" class="btn" title="Next (→)">→</button>
<button id="aiGenBtn" class="btn" title="Generate the prompt from the image with AI" disabled>✨ Generate</button>
<button id="copyBtn" class="btn" title="Copy prompt (Ctrl+C)">Copy</button>
<button id="saveBtn" class="btn primary" title="Save (Ctrl+Enter) — stays on this image">Save ⏎</button>
</div>
<div class="detail-body">
<div class="detail-edit">
<textarea id="promptEditor" class="prompt-editor"
placeholder="No prompt yet — write one and press Ctrl+Enter to save."
spellcheck="false"></textarea>
<div id="detailMeta" class="detail-meta"></div>
</div>
<div class="detail-image">
<img id="detailImg" alt="" />
</div>
</div>
</section>
</div><!-- /#imagesSection -->
<!-- ================= PROMPT LIBRARY SECTION ================= -->
<div id="librarySection" class="section" hidden>
<header id="libToolbar" class="topbar">
<div class="bar-left">
<button id="libListToggle" class="btn lib-list-toggle" type="button"
aria-controls="libList" aria-expanded="true">⟨</button>
<button id="libOpenBtn" class="btn primary">Open library…</button>
<button id="libReopenBtn" class="btn" hidden></button>
<span id="libFolderName" class="folder-name"></span>
</div>
<div class="bar-center">
<input id="libSearch" class="search" type="text"
placeholder="Search prompts, tags… (Ctrl+F)" autocomplete="off" spellcheck="false" />
</div>
<div class="bar-right">
<button id="libGuideBtn" class="btn" title="Show the full prompt guide">Prompt guide</button>
<button id="libHelpBtn" class="btn" title="Show a full example prompt">Prompt example</button>
<button id="libNewBtn" class="btn" disabled>+ New prompt</button>
<span id="libCounts" class="counts"></span>
</div>
</header>
<div id="libLayout" class="lib-body">
<div id="libList" class="lib-list"></div>
<div class="lib-right">
<div id="libEditor" class="lib-editor" hidden>
<div class="lib-edit-top">
<input id="libTitle" class="lib-title-input" type="text"
placeholder="prompt-title" autocomplete="off" spellcheck="false" />
<select id="libType" class="lib-type-select" title="Prompt type"></select>
<div id="libRating" class="rating" role="radiogroup" aria-label="Rating (1–5)"></div>
<span id="libDirty" class="dirty-flag" hidden>● Unsaved</span>
<span class="spacer"></span>
<button id="libSaveBtn" class="btn primary" title="Save (Ctrl+S)">Save</button>
<!-- Everything but Save lives behind "⋮" so the header stays one row. -->
<div id="libMenu" class="action-menu">
<button id="libMenuBtn" class="btn action-menu-btn" type="button"
title="More actions" aria-haspopup="menu" aria-expanded="false">⋮</button>
<div class="action-menu-list" role="menu" hidden>
<button id="libReviewBtn" class="action-menu-item scene-generate" type="button"
role="menuitem" disabled hidden>Review with AI</button>
<button id="libPreviewBtn" class="action-menu-item" type="button" role="menuitem"
title="Preview the whole prompt (and copy it)">Preview</button>
<button id="libDuplicateBtn" class="action-menu-item" type="button" role="menuitem"
title="Duplicate this prompt as a new one">Duplicate</button>
<button id="libDeleteBtn" class="action-menu-item danger" type="button" role="menuitem"
title="Delete this prompt file">Delete prompt</button>
</div>
</div>
</div>
<div id="libScroll" class="lib-scroll">
<div class="lib-meta">
<div class="scene-label-row"><label for="libLorasInput">loras</label></div>
<p class="scene-hint">Comma-separated LoRAs that can help this prompt. Shown here; never copied.</p>
<input id="libLorasInput" class="lib-loras-input" type="text"
placeholder="e.g. add_detail, film_grain, neon_style"
autocomplete="off" spellcheck="false" />
</div>
<div id="libBody" class="lib-body-edit" hidden>
<div class="scene-label-row">
<label for="libBodyText">prompt</label>
<span class="spacer"></span>
<button id="libBodyGenBtn" class="btn scene-generate" type="button" disabled>✨ Generate</button>
</div>
<p class="scene-hint">The full prompt as plain text.</p>
<textarea id="libBodyText" class="lib-body-text" spellcheck="false"
placeholder="Write the full prompt here…"></textarea>
</div>
<div id="libGlobalHead" class="lib-global-head" hidden>
<span class="lib-global-title">Global</span>
<button id="libGlobalGenBtn" class="btn scene-generate" type="button" disabled>✨ Generate</button>
</div>
<div id="libGlobal" class="lib-global"></div>
<div id="libScenes" class="lib-scenes"></div>
</div>
<div id="libScenesFooter" class="lib-scenes-footer">
<button id="libAddSceneBtn" class="btn">+ Add scene</button>
<button id="libCollapseAllBtn" class="btn">Collapse all</button>
<div id="libEditMeta" class="detail-meta"></div>
</div>
</div>
<div id="libEmpty" class="lib-empty" data-mode="nofolder">
<p class="lib-empty-nofolder">Open a folder of prompt <code>.txt</code> files to begin.</p>
<p class="lib-empty-select">Select a prompt on the left, or create a new one.</p>
<p class="muted">Each file is one reusable prompt; the filename is its title.</p>
</div>
</div><!-- /.lib-right -->
</div>
</div><!-- /#librarySection -->
<!-- Image-prompts: generate a prompt from the open image with a vision LLM -->
<div id="aiGenModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-lg">
<div class="modal-head">
<span class="modal-title">Generate prompt with AI</span>
<span class="spacer"></span>
<button id="aiGenCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="ai-gen">
<div class="ai-gen-cols">
<div class="ai-gen-image">
<button id="aiGenToggleImgBtn" class="btn" type="button"
title="Show/hide the image preview (it is sent to the AI either way)">Show image</button>
<img id="aiGenImg" alt="" hidden />
<div id="aiGenImgName" class="muted"></div>
<div class="ai-gen-imgnote muted">Hidden by default. Still sent to the AI.</div>
</div>
<div class="ai-gen-fields">
<label class="llm-field">
<span class="llm-label">Template</span>
<select id="aiGenTemplate" class="llm-input"></select>
</label>
<label class="llm-field">
<span class="llm-label">System prompt</span>
<textarea id="aiGenSystem" class="ai-gen-ta" rows="4" spellcheck="false"></textarea>
</label>
<label class="llm-field">
<span class="llm-label">User prompt</span>
<textarea id="aiGenUser" class="ai-gen-ta" rows="2" spellcheck="false"></textarea>
</label>
<div class="ai-gen-actions">
<button id="aiGenRunBtn" class="btn primary" type="button">Generate</button>
<button id="aiGenRefineBtn" class="btn" type="button" hidden
title="Iterate: sends your user prompt as a follow-up, keeping the conversation and image context">Refine</button>
<button id="aiGenStopBtn" class="btn" type="button" hidden>Stop</button>
<span id="aiGenStatus" class="llm-status"></span>
</div>
</div>
</div>
<label class="llm-field llm-field-grow">
<span class="llm-label">Result <span class="muted">(editable)</span></span>
<textarea id="aiGenResult" class="ai-gen-ta ai-gen-result" rows="8"
spellcheck="false" placeholder="The generated prompt will appear here…"></textarea>
</label>
<div class="ai-gen-actions">
<span class="spacer"></span>
<button id="aiGenAcceptBtn" class="btn primary" type="button" disabled>Use as prompt</button>
</div>
</div>
</div>
</div>
</div>
<!-- Prompt library: generate MiniMax H3 globals (subject_definitions, retention) -->
<div id="globalsGenModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-lg">
<div class="modal-head">
<span class="modal-title">Generate globals with AI</span>
<span class="spacer"></span>
<button id="globalsGenCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="ai-gen">
<div class="pt-purpose-title">Subject definitions</div>
<label class="llm-field">
<span class="llm-label">Template</span>
<select id="globalsTemplate" class="llm-input"></select>
</label>
<p class="scene-hint">
Pick a label type, a relationship marker and a reference image from disk.
The model writes the definition line, and a matching retention_analysis
entry is added for you to complete. Indices auto-increment per type.
</p>
<div class="gen-subj-row">
<select id="globalsLabelType" class="llm-input">
<option value="Subject">Subject</option>
<option value="Picture">Picture</option>
</select>
<span id="globalsNextLabel" class="gen-next-label"></span>
<select id="globalsMarker" class="llm-input" title="Retention relationship marker"></select>
<input id="globalsImageInput" type="file" accept="image/*" class="gen-file" />
<button id="globalsAddBtn" class="btn primary" type="button" disabled>Add & generate</button>
<button id="globalsStopBtn" class="btn" type="button" hidden>Stop</button>
<span id="globalsStatus" class="llm-status"></span>
</div>
<div id="globalsList" class="gen-list"></div>
<p id="globalsListEmpty" class="scene-hint">No references yet — add one above.</p>
<div class="llm-field">
<div class="gen-help-row">
<span class="llm-label">subject_definitions <span class="muted">(editable)</span></span>
<button id="globalsSubjHelp" class="section-help" type="button"
title="About the "subject_definitions" section">?</button>
</div>
<textarea id="globalsSubjects" class="ai-gen-ta" rows="7" spellcheck="false"
placeholder="Generated <Subject N> / <Picture N> lines appear here…"></textarea>
</div>
<div class="pt-purpose-title">Retention analysis</div>
<p class="scene-hint">Added automatically per reference (no AI). Fill in the shots and replace each <code>TODO</code>.</p>
<div class="llm-field">
<div class="gen-help-row">
<span class="llm-label">retention_analysis <span class="muted">(editable)</span></span>
<button id="globalsRetHelp" class="section-help" type="button"
title="About the "retention_analysis" section">?</button>
</div>
<textarea id="globalsRetention" class="ai-gen-ta" rows="6" spellcheck="false"
placeholder="<Subject 1> (appears in [Shot 1]): fully_preserved - TODO"></textarea>
</div>
<div class="ai-gen-actions">
<span class="spacer"></span>
<button id="globalsAcceptBtn" class="btn primary" type="button">Done</button>
</div>
</div>
</div>
</div>
</div>
<!-- Prompt library: generic text generator (scene, default prompt, …) -->
<div id="textGenModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-lg">
<div class="modal-head">
<span id="textGenTitle" class="modal-title">Generate with AI</span>
<span class="spacer"></span>
<button id="textGenCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="ai-gen">
<label class="llm-field">
<span class="llm-label">Template</span>
<select id="textGenTemplate" class="llm-input"></select>
</label>
<label class="llm-field">
<span class="llm-label">System prompt</span>
<textarea id="textGenSystem" class="ai-gen-ta" rows="4" spellcheck="false"></textarea>
</label>
<label class="llm-field">
<span class="llm-label">User prompt</span>
<textarea id="textGenUser" class="ai-gen-ta" rows="3" spellcheck="false"></textarea>
</label>
<label id="textGenContWrap" class="llm-checkline" hidden>
<input id="textGenCont" type="checkbox" />
<span id="textGenContLabel">Continue from the previous scene</span>
</label>
<div id="textGenRefWrap" class="llm-field" hidden>
<span id="textGenRefLabel" class="llm-label">subject_definitions (applied)</span>
<textarea id="textGenRef" class="ai-gen-ta" rows="4" readonly
title="Sent to the model as context (read-only). Edit it in the Global / override sections."></textarea>
</div>
<p id="textGenCtxNote" class="scene-hint"></p>
<div class="ai-gen-actions">
<button id="textGenRunBtn" class="btn primary" type="button">Generate</button>
<button id="textGenRefineBtn" class="btn" type="button" hidden
title="Iterate on the result: sends your user prompt as a follow-up, keeping the conversation">Refine</button>
<button id="textGenStopBtn" class="btn" type="button" hidden>Stop</button>
<span id="textGenStatus" class="llm-status"></span>
</div>
<label class="llm-field llm-field-grow">
<span class="llm-label">Result <span id="textGenResultHint" class="muted">(editable)</span></span>
<textarea id="textGenResult" class="ai-gen-ta ai-gen-result" rows="10"
spellcheck="false" placeholder="The generated text will appear here…"></textarea>
</label>
<div class="ai-gen-actions">
<span class="spacer"></span>
<button id="textGenAcceptBtn" class="btn primary" type="button" disabled>Use</button>
</div>
</div>
</div>
</div>
</div>
<!-- Full-screen prompt-templates manager (sidebar of groups + editor pane) -->
<div id="promptTemplatesModal" class="modal modal-front" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-xl">
<div class="modal-head">
<span class="modal-title">Prompt templates</span>
<span class="spacer"></span>
<button id="ptSaveBtn" class="btn primary">Save</button>
<button id="ptCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body pt-body">
<div class="pt-layout">
<div id="ptSidebar" class="pt-sidebar"></div>
<div id="ptPane" class="pt-pane"></div>
</div>
<datalist id="ptModelList"></datalist>
</div>
</div>
</div>
<!-- Ask AI: general-purpose LLM scratchpad -->
<div id="askModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-lg">
<div class="modal-head">
<span class="modal-title">Ask AI</span>
<span class="spacer"></span>
<button id="askCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="ai-gen">
<label class="llm-field">
<span class="llm-label">Template <span class="muted">(optional prefill)</span></span>
<select id="askTemplate" class="llm-input"></select>
</label>
<label class="llm-field">
<span class="llm-label">System prompt</span>
<textarea id="askSystem" class="ai-gen-ta" rows="3" spellcheck="false"></textarea>
</label>
<label class="llm-field">
<span class="llm-label">User prompt</span>
<textarea id="askUser" class="ai-gen-ta" rows="4" spellcheck="false"></textarea>
</label>
<div class="gen-subj-row">
<span class="llm-label">Image <span class="muted">(optional)</span></span>
<input id="askImageInput" type="file" accept="image/*" class="gen-file" />
<button id="askClearImgBtn" class="btn" type="button" hidden>Clear</button>
<span class="spacer"></span>
<button id="askRunBtn" class="btn primary" type="button">Send</button>
<button id="askRefineBtn" class="btn" type="button" hidden
title="Iterate: sends your prompt as a follow-up, keeping the conversation">Refine</button>
<button id="askStopBtn" class="btn" type="button" hidden>Stop</button>
<span id="askStatus" class="llm-status"></span>
</div>
<label class="llm-field llm-field-grow">
<span class="llm-label">Response <span class="muted">(editable)</span></span>
<textarea id="askResult" class="ai-gen-ta ai-gen-result" rows="10"
spellcheck="false" placeholder="The response will appear here…"></textarea>
</label>
<div class="ai-gen-actions">
<span class="spacer"></span>
<button id="askCopyBtn" class="btn" type="button" disabled>Copy</button>
</div>
</div>
</div>
</div>
</div>
<!-- Prompt library: review the WHOLE MiniMax prompt across all scenes -->
<div id="reviewModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box modal-box-lg">
<div class="modal-head">
<span id="reviewTitle" class="modal-title">Review prompt with AI</span>
<span class="spacer"></span>
<button id="reviewCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="ai-gen">
<label class="llm-field">
<span class="llm-label">Template</span>
<select id="reviewTemplate" class="llm-input"></select>
</label>
<label class="llm-field">
<span class="llm-label">System prompt</span>
<textarea id="reviewSystem" class="ai-gen-ta" rows="4" spellcheck="false"></textarea>
</label>
<label class="llm-field">
<span class="llm-label">User prompt</span>
<textarea id="reviewUser" class="ai-gen-ta" rows="2" spellcheck="false"></textarea>
</label>
<label class="llm-field">
<span id="reviewContextLabel" class="llm-label">Prompt under review <span class="muted">(read-only)</span></span>
<textarea id="reviewContext" class="ai-gen-ta" rows="6" readonly spellcheck="false"
title="The context sent to the model. Edit it in the scene editor."></textarea>
</label>
<div class="ai-gen-actions">
<button id="reviewRunBtn" class="btn primary" type="button">Review</button>
<button id="reviewRefineBtn" class="btn" type="button" hidden
title="Iterate: sends your user prompt as a follow-up, keeping the conversation">Refine</button>
<button id="reviewStopBtn" class="btn" type="button" hidden>Stop</button>
<span id="reviewStatus" class="llm-status"></span>
</div>
<label class="llm-field llm-field-grow">
<span class="llm-label">Review <span class="muted">(editable)</span></span>
<textarea id="reviewResult" class="ai-gen-ta ai-gen-result" rows="10"
spellcheck="false" placeholder="The review will appear here…"></textarea>
</label>
<div class="ai-gen-actions">
<button id="reviewApplyBtn" class="btn" type="button" hidden
title="Generate a corrected scene that implements the review's suggestions">Apply suggestions</button>
<span class="spacer"></span>
<button id="reviewCopyBtn" class="btn" type="button" disabled>Copy</button>
</div>
<label id="reviewRewriteWrap" class="llm-field llm-field-grow" hidden>
<span class="llm-label">Corrected scene <span class="muted">(editable — Accept applies summary + detailed_description)</span></span>
<textarea id="reviewRewrite" class="ai-gen-ta ai-gen-result" rows="8"
spellcheck="false" placeholder="The corrected scene will appear here…"></textarea>
</label>
<div id="reviewAcceptRow" class="ai-gen-actions" hidden>
<span class="spacer"></span>
<button id="reviewAcceptBtn" class="btn primary" type="button" disabled>Accept into scene</button>
</div>
</div>
</div>
</div>
</div>
<!-- Global AI/LLM settings dialog (shared by every feature) -->
<div id="llmModal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box">
<div class="modal-head">
<span class="modal-title">AI settings</span>
<span class="spacer"></span>
<button id="llmCloseBtn" class="btn">Close</button>
</div>
<div class="modal-body">
<div class="llm-form">
<p class="scene-hint">
Connect a local OpenAI-compatible LLM (LM Studio, Ollama, …) to generate,
complete, and improve prompts across the app. In LM Studio: start the local
server and enable CORS. Stored locally as settings only — never your content.
</p>
<label class="llm-field">
<span class="llm-label">Base URL</span>
<input id="llmBaseUrl" type="text" class="llm-input"
placeholder="http://localhost:1234/v1" autocomplete="off" spellcheck="false" />
</label>
<div class="llm-field">
<span class="llm-label">Model</span>
<div class="llm-model-row">
<input id="llmModel" type="text" class="llm-input" list="llmModelList"
placeholder="e.g. llama-3.1-8b-instruct" autocomplete="off" spellcheck="false" />
<button id="llmRefreshBtn" class="btn" type="button"
title="Fetch available models from the server">Refresh</button>
</div>
<datalist id="llmModelList"></datalist>
</div>
<label class="llm-field">
<span class="llm-label">API key <span class="muted">(optional — not needed for local)</span></span>
<input id="llmApiKey" type="password" class="llm-input"
placeholder="leave empty for local servers" autocomplete="off" />
</label>
<label class="llm-field">
<span class="llm-label">Temperature</span>
<input id="llmTemperature" type="number" class="llm-input llm-input-narrow"
min="0" max="2" step="0.1" />
</label>
<div class="llm-field">
<label class="llm-checkline">
<input id="llmIndependent" type="checkbox" />
<span>Independent context each request</span>
</label>
<p class="scene-hint">
Sends <code>cache_prompt=false</code> so the server doesn't reuse the previous
request's context — prevents a prior image "leaking" into later text
generations (LM Studio). Turn off for slightly faster repeated prompts.
</p>
</div>
<div class="llm-actions">
<button id="llmTestBtn" class="btn" type="button">Test connection</button>
<span id="llmStatus" class="llm-status"></span>
<span class="spacer"></span>
<button id="llmTemplatesBtn" class="btn" type="button"
title="Edit the AI prompt templates used across the app">Prompt templates…</button>
<button id="llmSaveBtn" class="btn primary" type="button">Save</button>
</div>
</div>
</div>
</div>
</div>
<!-- Generic modal: full example prompt, per-section guidance -->
<div id="modal" class="modal" hidden>
<div class="modal-backdrop"></div>
<div class="modal-box">
<div class="modal-head">
<span id="modalTitle" class="modal-title"></span>
<span class="spacer"></span>
<button id="modalCopyBtn" class="btn" hidden>Copy</button>
<button id="modalCloseBtn" class="btn">Close</button>
</div>
<div id="modalBody" class="modal-body"></div>
</div>
</div>
<div id="toasts" class="toasts"></div>
<script>
(function () {
var __mods = {}, __cache = {};
function register(id, fn) { __mods[id] = fn; }
function require(id) {
if (__cache[id]) return __cache[id].exports;
var module = { exports: {} };
__cache[id] = module;
__mods[id](module, module.exports, require);
return module.exports;
}
register("js/app.js", function (module, exports, require) {
const { FileSystemStorageAdapter } = require("js/storage/fs-adapter.js");
const { idbGet, idbSet } = require("js/storage/idb.js");
const { createGrid } = require("js/grid.js");
const { initModal } = require("js/modal.js");
const { toast } = require("js/toast.js");
const { initLibrary, focusSearch: libraryFocusSearch, isDirty: libraryDirty, onShow: libraryOnShow } = require("js/prompt-library.js");
const { state, applyFilters, effectivePrompt, hasEffectivePrompt, isDirty, withCount } = require("js/store.js");
const { loadLlmConfig, onLlmStatusChange, isLlmOnline } = require("js/llm/llm-config.js");
const { initLlmSettings, openLlmSettings, refreshLlmStatus } = require("js/llm/llm-settings.js");
const { loadLlmTemplates } = require("js/llm/llm-prompts.js");
const { initPromptTemplates } = require("js/llm/llm-prompt-templates.js");
const { initImageAi, openImageAi } = require("js/image-ai.js");
const { initTextAi } = require("js/text-ai.js");
const { initGlobalsAi } = require("js/globals-ai.js");
const { initReviewAi } = require("js/review-ai.js");
const { initAskAi, openAskAi } = require("js/ask-ai.js");
const adapter = new FileSystemStorageAdapter();
// ---- DOM refs ----
const $ = (id) => document.getElementById(id);
const el = {
unsupported: $("unsupported"),
openBtn: $("openBtn"),
reopenBtn: $("reopenBtn"),
folderName: $("folderName"),
search: $("search"),
filters: document.querySelector(".filters"),
counts: $("counts"),
gridView: $("gridView"),
grid: $("grid"),
gridInner: $("gridInner"),
empty: $("empty"),
detailView: $("detailView"),
detailTitle: $("detailTitle"),
dirtyFlag: $("dirtyFlag"),
detailImg: $("detailImg"),
promptEditor: $("promptEditor"),
detailMeta: $("detailMeta"),
backBtn: $("backBtn"),
toggleImgBtn: $("toggleImgBtn"),
renameBtn: $("renameBtn"),
deleteBtn: $("deleteBtn"),
prevBtn: $("prevBtn"),
nextBtn: $("nextBtn"),
aiGenBtn: $("aiGenBtn"),
copyBtn: $("copyBtn"),
saveBtn: $("saveBtn"),
// section switching
imagesSection: $("imagesSection"),
librarySection: $("librarySection"),
tabs: document.querySelector(".sections"),
llmSettingsBtn: $("llmSettingsBtn"),
askAiBtn: $("askAiBtn"),
};
// ---- thumbnail URL cache (object URLs are reused across renders) ----
const urlCache = new Map(); // thumbKey -> objectURL
const inflight = new Map(); // thumbKey -> Promise<objectURL>
function loadThumb(entry, priority) {
const k = entry.thumbKey;
if (urlCache.has(k)) return Promise.resolve(urlCache.get(k));
if (inflight.has(k)) return inflight.get(k);
const p = adapter
.getThumbnail(entry, { priority })
.then((blob) => {
const url = URL.createObjectURL(blob);
urlCache.set(k, url);
inflight.delete(k);
return url;
})
.catch((err) => {
inflight.delete(k);
throw err;
});
inflight.set(k, p);
return p;
}
// Warm the on-disk cache without holding an object URL (phase-3 backfill, §4).
function warm(entry) {
if (urlCache.has(entry.thumbKey) || inflight.has(entry.thumbKey)) return;
adapter.getThumbnail(entry, { priority: false }).catch(() => {});
}
const grid = createGrid(el.grid, el.gridInner, { loadThumb, onOpen: openDetail });
// ---- rendering helpers ----
function updateCounts() {
if (!state.entries.length) {
el.counts.textContent = "";
return;
}
el.counts.textContent = `${withCount()} / ${state.entries.length} with prompt`;
}
function renderGrid() {
el.empty.hidden = state.entries.length > 0;
updateCounts();
grid.refresh();
}
// ---------------------------------------------------------------------------
// Detail view (spec §5.3, §9.3, §9.4)
// ---------------------------------------------------------------------------
const originalUrls = new Map(); // name -> objectURL (bounded to prev/cur/next)
async function getOriginalUrl(entry) {
if (originalUrls.has(entry.name)) return originalUrls.get(entry.name);
const file = await adapter.getFile(entry);
const url = URL.createObjectURL(file);
originalUrls.set(entry.name, url);
return url;
}
function pruneOriginals(keepNames) {
for (const [name, url] of originalUrls) {
if (!keepNames.has(name)) {
URL.revokeObjectURL(url);
originalUrls.delete(name);
}
}
}
// The image currently open in the detail view. Tracked as an object (not just
// an index) so that saving keeps us on the SAME image even when it leaves the
// active filter (e.g. gaining a prompt under the "No prompt" filter).
let currentImage = null;
function currentEntry() {
return currentImage;
}
// Position of the open image within the filtered list for prev/next; falls back
// to the last known index if the image has dropped out of the current filter.
function currentIndex() {
if (!currentImage) return -1;
const i = state.filtered.indexOf(currentImage);
return i >= 0 ? i : state.selectedIndex;
}
function updateDirtyUI() {
const e = currentEntry();
const dirty = e ? isDirty(e) : false;
el.dirtyFlag.hidden = !dirty;
el.saveBtn.disabled = !dirty;
}
/** Enable "Generate with AI" only while online and viewing an image. */
function updateAiBtn() {
const online = isLlmOnline();
el.aiGenBtn.disabled = !(online && currentImage && state.view === "detail");
el.aiGenBtn.title = online
? "Generate the prompt from the image with AI"
: "AI not connected — configure it in AI settings";
}
function updateMeta(entry) {
const kb = (entry.size / 1024).toFixed(0);
const when = new Date(entry.mtime).toLocaleString();
const status = hasEffectivePrompt(entry) ? "has prompt" : "no prompt";
el.detailMeta.textContent = `${entry.name} · ${entry.ext.toUpperCase()} · ${kb} KB · ${when} · ${status}`;
}
// Privacy toggle (spec §5.3): hide/show the original in the detail view. The
// state persists as you navigate so nothing is revealed by accident. Hiding
// also drops the <img> src so the pixels leave the DOM entirely.
function syncImageVisibility() {
el.detailView.classList.toggle("img-hidden", state.imageHidden);
el.toggleImgBtn.textContent = state.imageHidden ? "⟨ Show image" : "Hide image ⟩";
el.toggleImgBtn.title = state.imageHidden
? "Show the image again"
: "Hide the image for privacy";
}
function showOriginal(entry) {
getOriginalUrl(entry).then((url) => {
if (currentEntry() === entry && !state.imageHidden) el.detailImg.src = url;
});
}
function toggleImageVisibility() {
state.imageHidden = !state.imageHidden;
syncImageVisibility();
const e = currentEntry();
if (!e) return;
if (state.imageHidden) el.detailImg.removeAttribute("src");
else showOriginal(e);
}
async function openDetail(index) {
if (index < 0 || index >= state.filtered.length) return;
state.selectedIndex = index;
state.view = "detail";
const e = state.filtered[index];
currentImage = e;
el.detailView.hidden = false;
el.detailTitle.textContent = e.name;
el.promptEditor.value = effectivePrompt(e) ?? "";
updateDirtyUI();
updateAiBtn();
updateMeta(e);
syncImageVisibility();
el.prevBtn.disabled = index === 0;
el.nextBtn.disabled = index === state.filtered.length - 1;
el.detailImg.removeAttribute("src");
if (!state.imageHidden) showOriginal(e);
// Preload neighbors — the dominant flow when captioning sequentially (§5.3).
const keep = new Set([e.name]);
for (const j of [index - 1, index + 1]) {
const n = state.filtered[j];
if (n) {
keep.add(n.name);
getOriginalUrl(n).catch(() => {});
}
}
pruneOriginals(keep);
el.promptEditor.focus();
}
function backToGrid() {
state.view = "grid";
el.detailView.hidden = true;
updateAiBtn();
grid.layout();
grid.scrollToIndex(state.selectedIndex);
}
function nav(delta) {
const next = currentIndex() + delta;
if (next >= 0 && next < state.filtered.length) openDetail(next);
}
async function saveCurrent() {
const e = currentEntry();
if (!e || !isDirty(e)) return true;
try {
await adapter.writePrompt(e, el.promptEditor.value);
state.dirty.delete(e.baseName);
applyFilters();
updateCounts();
updateDirtyUI();
return true;
} catch (err) {
toast("Could not save: " + err.message, "error");
return false;
}
}
// Save and STAY on the current image (no auto-advance). Navigation is manual.
async function saveStay() {
const e = currentEntry();
if (!e) return;
const oldIdx = state.selectedIndex;
if (!(await saveCurrent())) return;
// Re-sync navigation position. If the image is still in the filtered view,
// point at it. If saving dropped it out (e.g. under the "No prompt" filter),
// keep it displayed and place the cursor so → advances to the image that
// took its place.
const idx = state.filtered.indexOf(currentImage);
state.selectedIndex = idx >= 0 ? idx : Math.max(0, oldIdx) - 1;
const navIdx = currentIndex();
el.prevBtn.disabled = navIdx <= 0;
el.nextBtn.disabled = navIdx >= state.filtered.length - 1;
updateMeta(e);
updateDirtyUI();
}
async function copyPrompt() {
const e = currentEntry();
if (!e) return;
try {
await navigator.clipboard.writeText(effectivePrompt(e) ?? "");
toast("Prompt copied.");
} catch {
toast("Clipboard blocked by the browser.", "warn");
}
}
el.promptEditor.addEventListener("input", () => {
const e = currentEntry();
if (!e) return;
const cur = el.promptEditor.value;
const disk = e.prompt ?? "";
if (cur === disk) state.dirty.delete(e.baseName);
else state.dirty.set(e.baseName, { text: cur, base: disk });
updateDirtyUI();
});
async function renameCurrentImage() {
const e = currentEntry();
if (!e) return;
const input = window.prompt("New name (without extension):", e.baseName);
if (input == null) return; // cancelled
const newBase = input.trim();
if (!newBase || newBase === e.baseName) return;
const oldBase = e.baseName;
try {
await adapter.renameImage(e, newBase); // renames image + its .txt together
} catch (err) {
toast("Could not rename: " + err.message, "error");
return;
}
// Carry any unsaved prompt edit over to the new base-name key.
if (state.dirty.has(oldBase)) {
state.dirty.set(e.baseName, state.dirty.get(oldBase));
state.dirty.delete(oldBase);
}
el.detailTitle.textContent = e.name;
updateMeta(e);
applyFilters();
grid.refresh();
toast(`Renamed to "${e.name}".`);
}
// Delete the open image and its .txt sidecar, then land on the image that took
// its place (same slot in the filtered list), or fall back to the grid when the
// folder — or the current filter — is left empty.
async function deleteCurrentImage() {
const e = currentEntry();
if (!e) return;
if (
!window.confirm(
`Delete "${e.name}"${e.hasPrompt ? " and its .txt prompt" : ""}? This removes it from disk.`
)
)
return;
try {
await adapter.deleteImage(e);
} catch (err) {
toast("Could not delete: " + err.message, "error");
return;
}
// Drop any in-memory references to the removed image.
state.dirty.delete(e.baseName);
const orig = originalUrls.get(e.name);
if (orig) {
URL.revokeObjectURL(orig);
originalUrls.delete(e.name);
}
const thumb = urlCache.get(e.thumbKey);
if (thumb) {
URL.revokeObjectURL(thumb);
urlCache.delete(e.thumbKey);
}
const slot = currentIndex();
const gi = state.entries.indexOf(e);
if (gi >= 0) state.entries.splice(gi, 1);
applyFilters();
updateCounts();
toast(`Deleted "${e.name}".`);
if (state.filtered.length === 0) {
currentImage = null;
state.selectedIndex = -1;
backToGrid();
renderGrid();
return;
}
openDetail(Math.min(Math.max(slot, 0), state.filtered.length - 1));
}
el.backBtn.addEventListener("click", backToGrid);
el.toggleImgBtn.addEventListener("click", toggleImageVisibility);
el.renameBtn.addEventListener("click", renameCurrentImage);
el.deleteBtn.addEventListener("click", deleteCurrentImage);
el.prevBtn.addEventListener("click", () => nav(-1));
el.nextBtn.addEventListener("click", () => nav(1));
el.aiGenBtn.addEventListener("click", () => openImageAi(currentEntry()));
el.copyBtn.addEventListener("click", copyPrompt);
el.saveBtn.addEventListener("click", saveStay);
// ---------------------------------------------------------------------------
// Filters & search (spec §9.2)
// ---------------------------------------------------------------------------
el.filters.addEventListener("click", (ev) => {
const btn = ev.target.closest(".chip");
if (!btn) return;
state.filterMode = btn.dataset.filter;
for (const c of el.filters.querySelectorAll(".chip"))
c.classList.toggle("active", c === btn);
applyFilters();
renderGrid();
});
el.search.addEventListener("input", () => {
state.search = el.search.value;
applyFilters();
renderGrid();
});
// ---------------------------------------------------------------------------
// Section navigation (Image prompts / Prompt library)
// ---------------------------------------------------------------------------
function switchSection(name) {
if (name === state.section) return;
state.section = name;
el.imagesSection.hidden = name !== "images";
el.librarySection.hidden = name !== "library";
for (const t of el.tabs.querySelectorAll(".tab"))
t.classList.toggle("active", t.dataset.section === name);
// Sections were hidden (0-size) while away — re-measure on return.
if (name === "images") grid.layout();
else if (name === "library") libraryOnShow();
}
el.tabs.addEventListener("click", (ev) => {
const btn = ev.target.closest(".tab");
if (btn) switchSection(btn.dataset.section);
});
// ---------------------------------------------------------------------------
// Keyboard shortcuts (spec §9.4)
// ---------------------------------------------------------------------------
document.addEventListener("keydown", (ev) => {
const mod = ev.ctrlKey || ev.metaKey;
// Ctrl+F focuses the active section's search.
if (mod && (ev.key === "f" || ev.key === "F")) {
ev.preventDefault();
if (state.section === "library") {
libraryFocusSearch();
} else {
el.search.focus();
el.search.select();
}
return;
}
// The remaining shortcuts belong to the image detail view only.
if (state.section !== "images") return;
if (state.view !== "detail") return;
if (mod && ev.key === "Enter") {
ev.preventDefault();
saveStay();
return;
}
if (ev.key === "Escape") {
ev.preventDefault();
backToGrid();
return;
}
const editing = document.activeElement === el.promptEditor;
if (!editing) {
if (ev.key === "ArrowLeft") {
ev.preventDefault();
nav(-1);
} else if (ev.key === "ArrowRight") {
ev.preventDefault();
nav(1);
} else if (mod && (ev.key === "c" || ev.key === "C")) {
ev.preventDefault();
copyPrompt();
}
}
});
// Warn before leaving the page with unsaved edits (spec §7.1).
window.addEventListener("beforeunload", (ev) => {
if (state.dirty.size || libraryDirty()) {
ev.preventDefault(); // modern Chromium shows the leave-site prompt
}
});
// ---------------------------------------------------------------------------
// Opening folders
// ---------------------------------------------------------------------------
async function openFolder(handle) {
const entries = await adapter.listFolder(handle);
state.entries = entries;
state.filtered = [];
state.folderName = handle.name;
state.writable = adapter.writable;
state.dirty.clear();
state.view = "grid";
el.detailView.hidden = true;
el.folderName.textContent = handle.name;
applyFilters();
renderGrid();
await idbSet("lastFolder", handle).catch(() => {});
if (!adapter.writable) {
toast(
"Folder is read-only — thumbnails won't be cached to disk and prompts can't be saved.",
"warn"
);
} else {
startBackfill();
}
}
el.openBtn.addEventListener("click", async () => {
try {
const handle = await window.showDirectoryPicker({ mode: "readwrite" });
el.reopenBtn.hidden = true;
await openFolder(handle);
} catch (err) {
if (err && err.name !== "AbortError")
toast("Could not open folder: " + err.message, "error");
}
});
// Phase-3 backfill: generate the thumbnails we haven't shown yet, at idle.
function startBackfill() {
const list = state.entries.slice();
let i = 0;
const step = (deadline) => {
while (
i < list.length &&
(!deadline || deadline.timeRemaining() > 3)
) {
warm(list[i++]);
}
if (i < list.length) requestIdleCallback(step);
};
if ("requestIdleCallback" in window) requestIdleCallback(step);
else setTimeout(() => step(null), 500);
}
// ---------------------------------------------------------------------------
// External-change detection: re-scan on focus (spec §7.2)
// ---------------------------------------------------------------------------
let scanning = false;
async function rescan() {
if (!adapter.dirHandle || scanning) return;
scanning = true;
try {
const openEntry = state.view === "detail" ? currentEntry() : null;
const openName = openEntry ? openEntry.name : null;
const fresh = await adapter.listFolder(adapter.dirHandle);
for (const e of fresh) {
const d = state.dirty.get(e.baseName);
if (!d) continue;
const disk = e.prompt ?? "";
if (disk !== (d.base ?? "")) {
// Disk changed underneath an unsaved edit -> conflict (§7.2).
if (e.name === openName) showConflict(e, d, disk);
else
toast(
`"${e.name}" changed on disk — kept your unsaved edit.`,
"warn"
);
}
}
state.entries = fresh;
applyFilters();
if (openName) {
const idx = state.filtered.findIndex((x) => x.name === openName);
if (idx >= 0) {
state.selectedIndex = idx;
const e = state.filtered[idx];
currentImage = e; // re-list produced fresh objects; drop the stale ref
if (!isDirty(e)) el.promptEditor.value = e.prompt ?? "";
updateMeta(e);
updateDirtyUI();
}
}
updateCounts();
if (state.view === "grid") grid.refresh();
} catch {
/* transient errors on focus are non-fatal */
} finally {
scanning = false;
}
}
function showConflict(entry, dirtyRec, diskPrompt) {
toast(
`"${entry.name}" was changed on disk while you have unsaved edits.`,
"warn",
[
{
label: "Keep mine",
onClick: () => {
// Rebase so we don't warn again for the same disk state.
dirtyRec.base = diskPrompt;
state.dirty.set(entry.baseName, dirtyRec);
},
},
{
label: "Load disk",
onClick: () => {
state.dirty.delete(entry.baseName);
if (currentEntry() && currentEntry().name === entry.name) {
el.promptEditor.value = diskPrompt;
}
entry.prompt = diskPrompt;
applyFilters();
updateDirtyUI();
updateCounts();
},
},
]
);
}
window.addEventListener("focus", rescan);
// ---------------------------------------------------------------------------
// Startup
// ---------------------------------------------------------------------------
async function init() {
if (!("showDirectoryPicker" in window)) {
el.unsupported.hidden = false;
el.openBtn.disabled = true;
return;
}
initModal();
initLibrary();
// Global AI/LLM connection: load saved settings and wire the settings dialog.
// initPromptTemplates() first so its keydown handler is registered after the
// settings one — the settings dialog then defers Escape while it is open.
initLlmSettings();
initPromptTemplates();
el.llmSettingsBtn.addEventListener("click", openLlmSettings);
// Image "Generate with AI": applies the accepted prompt through the normal
// editor flow (marks dirty, user reviews, then saves).
initImageAi({
getFile: (entry) => adapter.getFile(entry),
applyPrompt: (text) => {
el.promptEditor.value = text;
el.promptEditor.dispatchEvent(new Event("input", { bubbles: true }));
el.promptEditor.focus();
},
});
// Text generator used by the Prompt Library Generate features (scene, default).
initTextAi();
initGlobalsAi();
// Whole-prompt reviewer for the Prompt Library (MiniMax); advisory report only.
initReviewAi();
// General-purpose LLM scratchpad, opened from the nav.
initAskAi();
el.askAiBtn.addEventListener("click", openAskAi);
// Keep the "Generate" button in sync with connectivity as probes complete.
onLlmStatusChange(updateAiBtn);
await Promise.all([loadLlmConfig(), loadLlmTemplates()]);
refreshLlmStatus(); // fire-and-forget: set the nav indicator without blocking startup
const handle = await idbGet("lastFolder").catch(() => null);
if (handle) {
el.reopenBtn.hidden = false;
el.reopenBtn.textContent = `Reopen "${handle.name}"`;
el.reopenBtn.addEventListener("click", async () => {
let perm = await handle.queryPermission({ mode: "readwrite" });
if (perm !== "granted")
perm = await handle.requestPermission({ mode: "readwrite" });
if (perm === "granted") {
el.reopenBtn.hidden = true;
await openFolder(handle);
} else {
toast("Permission denied.", "error");
}
});
}
}
init();
});
register("js/storage/fs-adapter.js", function (module, exports, require) {
const { hashKey } = require("js/hash.js");
const { createThumbnailWorker } = require("js/workers/worker-factory.js");
/**
* The ONLY module that talks to the File System Access API (spec §6).
* No UI component may call the file API directly; everything goes through here.
* Swapping this out for a Tauri implementation is the entire migration path.
*
* @typedef {Object} ImageEntry
* @property {string} name "img_001.png"
* @property {string} baseName "img_001"
* @property {string} ext "png"
* @property {number} mtime image file lastModified (drives thumbKey)
* @property {number} size image file size in bytes
* @property {number} promptMtime prompt .txt lastModified, or 0
* @property {boolean} hasPrompt
* @property {string|null} prompt prompt text loaded during scan, or null
* @property {string} thumbKey hash(name + mtime)
* @property {FileSystemFileHandle} _imageHandle (adapter-internal)
* @property {FileSystemFileHandle|null} _promptHandle (adapter-internal)
*/
const THUMB_DIR = ".thumbnails";
const IMAGE_EXTS = new Set(["png", "jpg", "jpeg", "webp"]);
function extOf(name) {
const dot = name.lastIndexOf(".");
return dot < 0 ? "" : name.slice(dot + 1).toLowerCase();
}
/** Make a filesystem-safe base name (no separators, no leading dots). */
function sanitizeBaseName(name) {
return name
.replace(/[\/\\:*?"<>|\x00-\x1F]/g, "")
.replace(/^\.+/, "")
.replace(/\s+/g, " ")
.trim();
}
/** Fixed-size pool of thumbnail workers with a small priority queue. */
class WorkerPool {
constructor(createWorker, size) {
this.idle = [];
this.queue = [];
this.pending = new Map();
this.seq = 0;
for (let i = 0; i < size; i++) {
const w = createWorker();
w.onmessage = (e) => this.#onDone(w, e.data);
this.idle.push(w);
}
}
/** @param {Blob} blob @param {boolean} priority */
resize(blob, priority = false) {
return new Promise((resolve, reject) => {
const id = ++this.seq;
this.pending.set(id, { resolve, reject });
const job = { id, blob };
if (priority) this.queue.unshift(job);
else this.queue.push(job);
this.#dispatch();
});
}
#dispatch() {
while (this.idle.length && this.queue.length) {
const w = this.idle.pop();
const job = this.queue.shift();
w.postMessage({ id: job.id, blob: job.blob });
}
}
#onDone(w, data) {
const p = this.pending.get(data.id);
this.pending.delete(data.id);
this.idle.push(w);
if (p) {
if (data.error) p.reject(new Error(data.error));
else p.resolve(data.blob);
}
this.#dispatch();
}
}
class FileSystemStorageAdapter {
constructor() {
/** @type {FileSystemDirectoryHandle|null} */
this.dirHandle = null;
/** @type {FileSystemDirectoryHandle|null} */
this.thumbDirHandle = null;
/** True when we can create/write files in the folder. */
this.writable = true;
this.pool = new WorkerPool(createThumbnailWorker, 4);
}
/**
* Phase-1 scan (spec §4.1). Non-recursive; skips service directories.
* Reads each prompt sidecar so the app is immediately usable.
* @param {FileSystemDirectoryHandle} handle
* @returns {Promise<ImageEntry[]>}
*/
async listFolder(handle) {
this.dirHandle = handle;
await this.#ensureThumbDir();
/** @type {Map<string, FileSystemFileHandle>} */
const files = new Map();
for await (const [name, h] of handle.entries()) {
// Skip everything that is not a file. This excludes .thumbnails/ and any
// other subdirectory — we never walk recursively (spec §8).
if (h.kind !== "file") continue;
if (name === THUMB_DIR) continue;
files.set(name, h);
}
const entries = [];
for (const [name, h] of files) {
const ext = extOf(name);
if (!IMAGE_EXTS.has(ext)) continue;
const base = name.slice(0, name.length - ext.length - 1);
const file = await h.getFile();
const promptHandle = files.get(base + ".txt") || null;
let prompt = null;
let promptMtime = 0;
if (promptHandle) {
const pf = await promptHandle.getFile();
prompt = await pf.text();
promptMtime = pf.lastModified;
}
entries.push({
name,
baseName: base,
ext,
mtime: file.lastModified,
size: file.size,
promptMtime,
hasPrompt: promptHandle != null,
prompt,
thumbKey: hashKey(name + ":" + file.lastModified),
_imageHandle: h,
_promptHandle: promptHandle,
});
}
entries.sort((a, b) =>
a.name.localeCompare(b.name, undefined, { numeric: true })
);
return entries;
}
/**
* Re-read a prompt from disk (used for external-change detection, §7.2).
* @param {ImageEntry} entry
* @returns {Promise<string|null>}
*/
async readPrompt(entry) {
if (!entry._promptHandle) return null;
const f = await entry._promptHandle.getFile();
return f.text();
}
/**
* Persist a prompt, replacing the whole file. Atomic via createWritable
* (spec §7.1): the API writes a temp .crswap and swaps on close(). On error
* we abort() so the original is never touched.
* @param {ImageEntry} entry
* @param {string} text
*/
async writePrompt(entry, text) {
if (!entry._promptHandle) {
entry._promptHandle = await this.dirHandle.getFileHandle(
entry.baseName + ".txt",
{ create: true }
);
}
const writable = await entry._promptHandle.createWritable();
try {
await writable.write(text);
await writable.close(); // atomic commit
} catch (err) {
await writable.abort(); // discard without touching the original
throw err;
}
const pf = await entry._promptHandle.getFile();
entry.prompt = text;
entry.hasPrompt = true;
entry.promptMtime = pf.lastModified;
}
/**
* Return a thumbnail Blob. Serves from the on-disk .webp cache when present,
* otherwise generates in a worker and (if writable) caches to disk.
* @param {ImageEntry} entry
* @param {{priority?: boolean}} [opts]
* @returns {Promise<Blob>}
*/
async getThumbnail(entry, { priority = false } = {}) {
const cacheName = entry.thumbKey + ".webp";
if (this.thumbDirHandle) {
try {
const h = await this.thumbDirHandle.getFileHandle(cacheName);
const f = await h.getFile();
if (f.size > 0) return f;
} catch {
/* not cached yet — fall through to generation */
}
}
const original = await entry._imageHandle.getFile();
const blob = await this.pool.resize(original, priority);
if (this.thumbDirHandle && this.writable) {
try {
const h = await this.thumbDirHandle.getFileHandle(cacheName, {
create: true,
});
const w = await h.createWritable();
await w.write(blob);
await w.close();
} catch {
/* caching is best-effort; ignore write failures */
}
}
return blob;
}
/**
* The full-resolution original, for the detail view (spec §5.3).
* @param {ImageEntry} entry
* @returns {Promise<File>}
*/
async getFile(entry) {
return entry._imageHandle.getFile();
}
/**
* Rename an image and its prompt sidecar together. Both `<base>.<ext>` and
* `<base>.txt` (if present) are renamed to the new base name. Uses the native
* `FileSystemFileHandle.move()` when available, else copy-then-delete.
* @param {ImageEntry} entry mutated in place on success
* @param {string} newBaseName
*/
async renameImage(entry, newBaseName) {
const clean = sanitizeBaseName(newBaseName);
if (!clean) throw new Error("Name cannot be empty.");
if (clean === entry.baseName) return entry;
const newImageName = clean + "." + entry.ext;
const newPromptName = clean + ".txt";
// Fail before touching anything if either target is taken.
await this.#assertFree(newImageName);
if (entry._promptHandle) await this.#assertFree(newPromptName);
entry._imageHandle = await this.#moveFile(
entry._imageHandle,
entry.name,
newImageName
);
if (entry._promptHandle) {
entry._promptHandle = await this.#moveFile(
entry._promptHandle,
entry.baseName + ".txt",
newPromptName
);
}
const f = await entry._imageHandle.getFile();
entry.name = newImageName;
entry.baseName = clean;
entry.mtime = f.lastModified;
entry.size = f.size;
entry.thumbKey = hashKey(newImageName + ":" + f.lastModified);
if (entry._promptHandle) {
entry.promptMtime = (await entry._promptHandle.getFile()).lastModified;
}
return entry;
}
/**
* Delete an image and its prompt sidecar together. Removes `<base>.<ext>` and
* `<base>.txt` (if present) from disk, plus the disposable thumbnail cache
* entry (best-effort — the cache is never counted and safe to leave behind).
* The image file is removed last so a failure never leaves an orphaned prompt.
* @param {ImageEntry} entry
*/
async deleteImage(entry) {
if (entry._promptHandle) {
await this.dirHandle.removeEntry(entry.baseName + ".txt");
entry._promptHandle = null;
}
await this.dirHandle.removeEntry(entry.name);
entry._imageHandle = null;
if (this.thumbDirHandle) {
try {
await this.thumbDirHandle.removeEntry(entry.thumbKey + ".webp");
} catch {
/* thumbnail may not have been generated — nothing to clean up */
}
}
}
async #assertFree(name) {
let exists = false;
try {
await this.dirHandle.getFileHandle(name);
exists = true;
} catch (e) {
if (e && e.name !== "NotFoundError") throw e;
}
if (exists) throw new Error(`"${name}" already exists in this folder.`);
}
async #moveFile(handle, oldName, newName) {
if (typeof handle.move === "function") {
await handle.move(newName); // handle now references newName
return handle;
}
// Fallback: copy contents to a new file, then remove the old one.
const file = await handle.getFile();
const nh = await this.dirHandle.getFileHandle(newName, { create: true });
const w = await nh.createWritable();
try {
await w.write(file);
await w.close();
} catch (e) {
await w.abort();
throw e;
}
await this.dirHandle.removeEntry(oldName);
return nh;
}
/**
* Ensure .thumbnails/ exists with its self-excluding .gitignore (spec §8).
* Failure here means the folder is read-only -> degraded mode (spec §7.4).
*/
async #ensureThumbDir() {
try {
this.thumbDirHandle = await this.dirHandle.getDirectoryHandle(THUMB_DIR, {
create: true,
});
try {
await this.thumbDirHandle.getFileHandle(".gitignore");
} catch {
const gi = await this.thumbDirHandle.getFileHandle(".gitignore", {
create: true,
});
const w = await gi.createWritable();
await w.write("*");
await w.close();
}
this.writable = true;
} catch {
this.thumbDirHandle = null;
this.writable = false;
}
}
}
exports.FileSystemStorageAdapter = FileSystemStorageAdapter;
});
register("js/hash.js", function (module, exports, require) {
/**
* Cheap, synchronous, non-cryptographic string hash for thumbnail cache keys.
* Two independent rolling hashes combined -> 16 hex chars. Collisions are
* irrelevant here because the key already encodes name + mtime; a collision
* would at worst reuse a stale thumbnail for an unrelated file with the exact
* same (name, mtime), which cannot happen within one folder.
*
* @param {string} str
* @returns {string} 16-char lowercase hex
*/
function hashKey(str) {
let h1 = 0x811c9dc5;
let h2 = 0x1000193;
for (let i = 0; i < str.length; i++) {
const c = str.charCodeAt(i);
h1 = Math.imul(h1 ^ c, 0x01000193);
h2 = Math.imul(h2 + c, 0x01000193) ^ (h2 >>> 7);
}
const hex = (n) => (n >>> 0).toString(16).padStart(8, "0");
return hex(h1) + hex(h2);
}
exports.hashKey = hashKey;
});
register("js/workers/worker-factory.js", function (module, exports, require) {
function createThumbnailWorker() {
var src = "/**\n * Thumbnail worker (spec §5.2).\n *\n * Receives an original image Blob, produces a 256px-wide WebP thumbnail.\n * Runs entirely off the main thread and never touches the DOM.\n */\n\nself.onmessage = async (e) => {\n const { id, blob } = e.data;\n try {\n // resizeWidth scales width to 256 with proportional height. High quality\n // downscale happens inside the decoder, so we never hold the full-size\n // bitmap in JS memory.\n const bitmap = await createImageBitmap(blob, {\n resizeWidth: 256,\n resizeQuality: \"high\",\n });\n\n const canvas = new OffscreenCanvas(bitmap.width, bitmap.height);\n const ctx = canvas.getContext(\"2d\");\n ctx.drawImage(bitmap, 0, 0);\n bitmap.close();\n\n const out = await canvas.convertToBlob({ type: \"image/webp\", quality: 0.8 });\n self.postMessage({ id, blob: out });\n } catch (err) {\n self.postMessage({ id, error: String((err && err.message) || err) });\n }\n};\n";
var url = URL.createObjectURL(new Blob([src], { type: "text/javascript" }));
return new Worker(url);
}
exports.createThumbnailWorker = createThumbnailWorker;
});
register("js/storage/idb.js", function (module, exports, require) {
/**
* Tiny IndexedDB key/value store.
*
* Per the spec (§7.3) IndexedDB is used ONLY for the directory-handle so the
* folder can be re-authorized with a single click on the next visit. It is
* NEVER used for prompts or image content — disk is the single source of truth.
*/
const DB_NAME = "image-prompt-manager";
const STORE = "kv";
const VERSION = 1;
function openDB() {
return new Promise((resolve, reject) => {
const req = indexedDB.open(DB_NAME, VERSION);
req.onupgradeneeded = () => {
req.result.createObjectStore(STORE);
};
req.onsuccess = () => resolve(req.result);
req.onerror = () => reject(req.error);
});
}
async function idbSet(key, value) {
const db = await openDB();
try {
await new Promise((resolve, reject) => {
const tx = db.transaction(STORE, "readwrite");
tx.objectStore(STORE).put(value, key);
tx.oncomplete = () => resolve();
tx.onerror = () => reject(tx.error);
});
} finally {
db.close();
}
}
async function idbGet(key) {
const db = await openDB();
try {
return await new Promise((resolve, reject) => {
const tx = db.transaction(STORE, "readonly");
const req = tx.objectStore(STORE).get(key);
req.onsuccess = () => resolve(req.result);
req.onerror = () => reject(req.error);
});
} finally {
db.close();
}
}
exports.idbSet = idbSet;
exports.idbGet = idbGet;
});
register("js/grid.js", function (module, exports, require) {
const { state, hasEffectivePrompt, isDirty } = require("js/store.js");
/**
* Virtualized thumbnail grid (spec §5.2, §9.1). Only visible rows plus a small
* overscan margin are kept in the DOM. Visible cells request their thumbnail at
* high priority, which naturally realizes the "viewport-first" queue of §4.
*
* @param {HTMLElement} scrollEl the scroll container (#grid)
* @param {HTMLElement} innerEl the sized inner spacer (#gridInner)
* @param {{
* loadThumb: (entry: any, priority: boolean) => Promise<string>,
* onOpen: (index: number) => void
* }} deps
*/
function createGrid(scrollEl, innerEl, { loadThumb, onOpen }) {
const GAP = 12;
const MIN_CELL = 180;
const OVERSCAN_ROWS = 2;
let cols = 1;
let cellW = MIN_CELL;
let rowH = MIN_CELL + GAP;
/** @type {Map<number, HTMLElement>} index -> cell element */
const cellPool = new Map();
function measure() {
const width = scrollEl.clientWidth - 2 * GAP; // padding on both sides
cols = Math.max(1, Math.floor((width + GAP) / (MIN_CELL + GAP)));
cellW = Math.floor((width - GAP * (cols - 1)) / cols);
rowH = cellW + GAP;
}
function makeCell() {
const el = document.createElement("div");
el.className = "cell";
const img = document.createElement("img");
img.className = "thumb";
img.decoding = "async";
const badge = document.createElement("span");
badge.className = "badge";
el.append(img, badge);
el._img = img;
el._badge = badge;
el._thumbKey = null;
el.addEventListener("click", () => {
const idx = Number(el.dataset.index);
if (!Number.isNaN(idx)) onOpen(idx);
});
return el;
}
function positionCell(el, row, col) {
el.style.width = cellW + "px";
el.style.height = cellW + "px";
el.style.transform = `translate(${col * (cellW + GAP)}px, ${row * rowH}px)`;
}
function fillCell(el, index) {
const e = state.filtered[index];
el.dataset.index = index;
el.title = e.name;
const has = hasEffectivePrompt(e);
el._badge.className = "badge " + (has ? "has" : "no");
el._badge.textContent = has ? "✓" : "∅";
el.classList.toggle("dirty", isDirty(e));
if (el._thumbKey !== e.thumbKey) {
el._thumbKey = e.thumbKey;
el._img.classList.remove("loaded");
el._img.removeAttribute("src");
loadThumb(e, true)
.then((url) => {
if (el._thumbKey === e.thumbKey) {
el._img.src = url;
el._img.classList.add("loaded");
}
})
.catch(() => {});
}
}
function renderVisible() {
const n = state.filtered.length;
const scrollTop = scrollEl.scrollTop;
const viewH = scrollEl.clientHeight;
const firstRow = Math.max(0, Math.floor(scrollTop / rowH) - OVERSCAN_ROWS);
const lastRow = Math.min(
Math.ceil((scrollTop + viewH) / rowH) + OVERSCAN_ROWS,
Math.ceil(n / cols)
);
const needed = new Set();
for (let r = firstRow; r < lastRow; r++) {
for (let c = 0; c < cols; c++) {
const i = r * cols + c;
if (i >= n) break;
needed.add(i);
let el = cellPool.get(i);
if (!el) {
el = makeCell();
cellPool.set(i, el);
innerEl.appendChild(el);
}
positionCell(el, r, c);
fillCell(el, i);
}
}
for (const [i, el] of cellPool) {
if (!needed.has(i)) {
el.remove();
cellPool.delete(i);
}
}
}
function clearPool() {
for (const el of cellPool.values()) el.remove();
cellPool.clear();
}
function layout() {
if (scrollEl.clientWidth === 0) return; // hidden (detail view open)
const prevCols = cols;
measure();
if (cols !== prevCols) clearPool(); // column count changed -> re-tile
const rows = Math.ceil(state.filtered.length / cols);
innerEl.style.height = rows * rowH + "px";
renderVisible();
}
/** Full re-tile: call after filter/search/save changes the entry set. */
function refresh() {
clearPool();
layout();
}
function scrollToIndex(index) {
if (index < 0) return;
measure();
const row = Math.floor(index / cols);
scrollEl.scrollTop = row * rowH;
}
// --- events ---
let rafPending = false;
scrollEl.addEventListener("scroll", () => {
if (rafPending) return;
rafPending = true;
requestAnimationFrame(() => {
rafPending = false;
renderVisible();
});
});
const ro = new ResizeObserver(() => layout());
ro.observe(scrollEl);
return { refresh, layout, scrollToIndex };
}
exports.createGrid = createGrid;
});
register("js/store.js", function (module, exports, require) {
/**
* In-memory application state (spec §2: runtime state is an in-memory array,
* loaded on folder open and discarded on close). Disk stays the source of truth.
*/
const { SECTION_ORDER, GLOBAL_SECTIONS } = require("js/scenes.js");
const state = {
/** Active top-level section: "images" | "library". */
section: "images",
// ----- Image-prompts section -----
/** @type {import("./storage/fs-adapter.js").ImageEntry[]} */
entries: [],
/** Current view after filter + search. */
filtered: [],
/** "all" | "with" | "without" */
filterMode: "all",
search: "",
/** Index into `filtered` for the open detail image, or -1. */
selectedIndex: -1,
/** "grid" | "detail" */
view: "grid",
/**
* Unsaved edits, keyed by baseName.
* @type {Map<string, { text: string, base: string }>}
* text = current editor value, base = disk value at edit start (conflict ref)
*/
dirty: new Map(),
folderName: "",
writable: true,
/** Privacy toggle: hide the original image in the detail view. */
imageHidden: false,
// ----- Prompt-library section -----
library: {
/** @type {import("./storage/prompt-library-adapter.js").PromptEntry[]} */
entries: [],
filtered: [],
search: "",
/** name of the selected prompt, or null */
selectedName: null,
/** true when the editor has unsaved changes */
dirty: false,
folderName: "",
/** true when the master list is collapsed so the editor gets full width */
listCollapsed: false,
},
};
/** Prompt as the user currently sees it: pending edit if any, else disk value. */
function effectivePrompt(entry) {
const d = state.dirty.get(entry.baseName);
return d ? d.text : entry.prompt;
}
function isDirty(entry) {
return state.dirty.has(entry.baseName);
}
/** Whether an image counts as "having a prompt" (non-empty effective text). */
function hasEffectivePrompt(entry) {
const p = effectivePrompt(entry);
return !!(p && p.trim().length);
}
function withCount() {
let n = 0;
for (const e of state.entries) if (hasEffectivePrompt(e)) n++;
return n;
}
/** Recompute `state.filtered` from the current filter mode + search text. */
function applyFilters() {
const q = state.search.trim().toLowerCase();
state.filtered = state.entries.filter((e) => {
const has = hasEffectivePrompt(e);
if (state.filterMode === "with" && !has) return false;
if (state.filterMode === "without" && has) return false;
if (q) {
const p = (effectivePrompt(e) || "").toLowerCase();
if (!p.includes(q)) return false;
}
return true;
});
}
/** Recompute `state.library.filtered` from the library search text. */
function applyLibraryFilters() {
const lib = state.library;
const q = lib.search.trim().toLowerCase();
lib.filtered = lib.entries.filter((e) => {
if (!q) return true;
if (e.title.toLowerCase().includes(q)) return true;
if ((e.body || "").toLowerCase().includes(q)) return true; // default-type prompts
if (GLOBAL_SECTIONS.some((k) => (e.globals?.[k] || "").toLowerCase().includes(q)))
return true;
return (e.scenes || []).some((sc) =>
SECTION_ORDER.some((k) => (sc[k] || "").toLowerCase().includes(q))
);
});
}
exports.state = state;
exports.effectivePrompt = effectivePrompt;
exports.isDirty = isDirty;
exports.hasEffectivePrompt = hasEffectivePrompt;
exports.withCount = withCount;
exports.applyFilters = applyFilters;
exports.applyLibraryFilters = applyLibraryFilters;
});
register("js/scenes.js", function (module, exports, require) {
/**
* Prompt-file format + the MiniMax H3 Ref2VA scene/section model.
*
* A .txt prompt file is: an optional META block (`type`, `rating`, `loras`),
* then a BODY. The `type` metadata (see prompt-types.js) selects the body shape:
*
* - "default" (or absent): the body is the whole prompt as plain text.
* - "minimax-h3-ref2va": the body is a GLOBAL block plus one or more SCENE
* blocks, each with the fixed sections below.
*
* MiniMax scenes: the global-capable sections are `subject_definitions`,
* `retention_analysis`, `overall_soundscape` and `non_diegetic_music` — the
* prompt defines them once and a scene fills one in only to override it; an
* empty scene value falls back to the global. `summary` and
* `detailed_description` are the per-scene content sections.
*
* Canonical section order (clipboard copy + on-disk storage):
*
* subject_definitions, summary, retention_analysis,
* detailed_description, overall_soundscape, non_diegetic_music
*
* A section left empty with no global to fall back on becomes "N/A" when
* copied. Markers keep the format
* hand-editable and round-trippable. Metadata is shown in the UI but never
* copied. A file with no `type` (e.g. an arbitrary .txt) loads as "default".
*/
const { DEFAULT_TYPE, MINIMAX_TYPE, normalizeType } = require("js/prompt-types.js");
/** Every section, in canonical order. */
const SECTION_ORDER = [
"subject_definitions",
"summary",
"retention_analysis",
"detailed_description",
"overall_soundscape",
"non_diegetic_music",
];
/**
* Sections that have a prompt-level global with per-scene override. The audio
* pair belongs here because ambience and score are usually set once for the
* whole prompt; a scene overrides them only when its audio differs.
*/
const GLOBAL_SECTIONS = [
"subject_definitions",
"retention_analysis",
"overall_soundscape",
"non_diegetic_music",
];
/** Per-scene content sections (these get "N/A" when left empty). */
const CONTENT_SECTIONS = ["summary", "detailed_description"];
/** Short guidance shown discreetly under each section label in the editor. */
const SECTION_HINTS = {
subject_definitions: "Defines referenced content and its reference labels",
summary:
"Summarizes the task type, target video, and main reference relationships",
retention_analysis:
"Describes how referenced content is preserved, transferred, or reused",
detailed_description:
"Describes visuals, actions, shots, sound, and dialogue in playback order",
overall_soundscape: "Summarizes ambience and physical sounds",
non_diegetic_music:
"Describes background music audible only to the audience",
};
/** Empty placeholder used for sections left blank when copying/saving. */
const EMPTY_SECTION = "N/A";
/** Sections a scene must fill in to be considered complete. */
const REQUIRED_SECTIONS = ["summary", "detailed_description"];
/** True when a section holds real content (not blank and not the "N/A" placeholder). */
function isSectionFilled(value) {
const v = (value ?? "").trim();
return v !== "" && v.toUpperCase() !== EMPTY_SECTION.toUpperCase();
}
/** Required sections a scene is missing, in canonical order ([] when complete). */
function missingRequiredSections(scene) {
return REQUIRED_SECTIONS.filter((k) => !isSectionFilled(scene && scene[k]));
}
/** Highest rating a prompt can have. Ratings run 1..MAX_RATING; 0 = unrated. */
const MAX_RATING = 5;
const META_MARK = "===== META =====";
const GLOBAL_MARK = "===== GLOBAL =====";
const SCENE_MARK = "===== SCENE =====";
const metaSepRe = /^\s*=+\s*META\s*=*\s*$/i;
const globalSepRe = /^\s*=+\s*GLOBAL\s*=*\s*$/i;
const sceneSepRe = /^\s*=+\s*SCENE\s*=*\s*$/i;
// Tolerant section header. Accepts, on its own line: the section name with or
// WITHOUT a colon, optional markdown (**, #, -, >), and a space or underscore
// between words ("detailed description" == "detailed_description"). A colon may
// carry an inline value ("summary: text"). Without a colon it only matches when
// the section name is alone on the line, so content like "summary of the day"
// is not mistaken for a header.
const sectionAlt = SECTION_ORDER.map((s) => s.replace(/_/g, "[ _]")).join("|");
const headerRe = new RegExp(
`^\\s*(?:[*#>\\-]+\\s*)?\\**\\s*(${sectionAlt})\\**\\s*(?::\\s*(.*?))?\\s*$`,
"i"
);
const fenceRe = /^\s*```/;
const metaLineRe = /^\s*([A-Za-z_]+)\s*:\s*(.*)$/;
function emptyScene() {
const s = {};
for (const k of SECTION_ORDER) s[k] = "";
return s;
}
function emptyGlobals() {
const g = {};
for (const k of GLOBAL_SECTIONS) g[k] = "";
return g;
}
/** Prompt-level metadata (shown in the UI, never copied). */
function emptyMeta() {
return { rating: 0, loras: [] };
}
/** Coerce a value to a valid rating integer in 0..MAX_RATING (0 = unrated). */
function clampRating(v) {
const r = parseInt(v, 10);
return Number.isFinite(r) ? Math.min(MAX_RATING, Math.max(0, r)) : 0;
}
/** Split a comma-separated string into trimmed, de-duplicated, non-empty items. */
function parseList(str) {
const seen = new Set();
const out = [];
for (const raw of String(str ?? "").split(",")) {
const v = raw.trim();
if (v && !seen.has(v)) {
seen.add(v);
out.push(v);
}
}
return out;
}
function toScene(data) {
const s = emptyScene();
for (const k of SECTION_ORDER) s[k] = typeof data[k] === "string" ? data[k] : "";
// A global-capable section holding just the "N/A" placeholder is NOT an
// override: drop it so the value falls back to the global. This matters for
// files written while the audio sections were still per-scene content (they
// stored "N/A" when empty), and for AI drafts that answer "N/A".
for (const k of GLOBAL_SECTIONS) if (!isSectionFilled(s[k])) s[k] = "";
return s;
}
function trimBlankEdges(lines) {
let a = 0;
let b = lines.length;
while (a < b && lines[a].trim() === "") a++;
while (b > a && lines[b - 1].trim() === "") b--;
return lines.slice(a, b).join("\n");
}
/**
* Split an optional leading META block from the body. Meta lines are the
* contiguous `key: value` lines right after the `===== META =====` marker; a
* blank line (or a body marker) ends the block. Without a META marker the whole
* text is the body.
* @returns {{ meta: Record<string,string>, body: string }}
*/
function splitMeta(text) {
const lines = (text ?? "").split(/\r?\n/);
let i = 0;
while (i < lines.length && lines[i].trim() === "") i++;
if (!metaSepRe.test(lines[i] ?? "")) return { meta: {}, body: text ?? "" };
i++; // past the META marker
while (i < lines.length && lines[i].trim() === "") i++; // blanks after marker
const meta = {};
while (i < lines.length) {
const line = lines[i];
if (line.trim() === "") { i++; break; } // a blank ends the meta block
if (globalSepRe.test(line) || sceneSepRe.test(line)) break;
const m = line.match(metaLineRe);
if (!m) break;
meta[m[1].toLowerCase()] = m[2].trim();
i++;
}
while (i < lines.length && lines[i].trim() === "") i++; // blanks before body
return { meta, body: lines.slice(i).join("\n") };
}
/** Parse a MiniMax body (GLOBAL + SCENE blocks) into globals + scenes. */
function parseMinimaxBody(text) {
const lines = (text ?? "").split(/\r?\n/);
const blocks = [];
let block = null;
let section = null;
let buf = [];
const flush = () => {
if (block && section) block.data[section] = trimBlankEdges(buf);
buf = [];
};
const start = (kind) => {
flush();
block = { kind, data: {} };
blocks.push(block);
section = null;
};
for (const line of lines) {
if (fenceRe.test(line)) continue; // ignore stray ``` markdown fences
if (globalSepRe.test(line)) { start("global"); continue; }
if (sceneSepRe.test(line)) { start("scene"); continue; }
const h = line.match(headerRe);
if (h) {
flush();
if (!block) start("scene"); // header before any marker -> a scene (legacy)
section = h[1].toLowerCase().replace(/\s+/g, "_"); // "detailed description" -> key
if (h[2] && h[2].trim()) buf.push(h[2]); // inline value on the header line
continue;
}
if (section) buf.push(line);
}
flush();
const globals = emptyGlobals();
const scenes = [];
for (const b of blocks) {
if (b.kind === "global") {
for (const k of GLOBAL_SECTIONS) {
if (typeof b.data[k] === "string") globals[k] = b.data[k];
}
} else {
scenes.push(toScene(b.data));
}
}
if (scenes.length === 0) scenes.push(emptyScene());
return { globals, scenes };
}
/**
* True when text carries the MiniMax structure (a GLOBAL/SCENE marker or a
* recognized `section:` header line). Used to guard converting a default prompt
* to the MiniMax type — plain free text has none of these and is rejected.
*/
function looksLikeMinimax(text) {
return (text ?? "")
.split(/\r?\n/)
.some((l) => globalSepRe.test(l) || sceneSepRe.test(l) || headerRe.test(l));
}
/**
* Parse a prompt file into its type + metadata + body/scenes.
* @param {string} text
* @returns {{ type:string, meta:{rating:number,loras:string[]}, body:string,
* globals: Record<string,string>, scenes: object[] }}
*/
function parsePrompt(text) {
const { meta: rawMeta, body } = splitMeta(text);
const meta = emptyMeta();
meta.rating = clampRating(rawMeta.rating);
meta.loras = parseList(rawMeta.loras);
const type = normalizeType(rawMeta.type);
if (type === MINIMAX_TYPE) {
const { globals, scenes } = parseMinimaxBody(body);
return { type, meta, body: "", globals, scenes };
}
return {
type: DEFAULT_TYPE,
meta,
body: (body ?? "").replace(/\s+$/, ""),
globals: emptyGlobals(),
scenes: [],
};
}
/** Effective value for a section: the scene's own if set, else the global. */
function effectiveSection(scene, globals, key) {
if (!GLOBAL_SECTIONS.includes(key)) return scene[key] ?? "";
// "N/A" is treated as no override (see toScene), so it falls back too.
return isSectionFilled(scene && scene[key])
? scene[key]
: (globals && globals[key]) || "";
}
/**
* One scene in the canonical clipboard format. Global-capable sections fall back
* to the global value; every empty section becomes "N/A".
* @param {object} scene
* @param {Record<string,string>} globals
*/
function sceneToText(scene, globals) {
const parts = [];
for (const k of SECTION_ORDER) {
let v = effectiveSection(scene, globals, k);
if ((v ?? "").trim() === "") v = EMPTY_SECTION;
parts.push(`${k}:\n${v}`);
}
return parts.join("\n\n");
}
/** A scene block for on-disk storage: raw values in canonical order. */
function sceneFileText(scene) {
return SECTION_ORDER.map((k) => `${k}:\n${scene[k] ?? ""}`).join("\n\n");
}
/** Serialize just the MiniMax body (GLOBAL block + one block per scene). */
function serializeMinimaxBody(globals, scenes) {
const list = scenes && scenes.length ? scenes : [emptyScene()];
const globalText = GLOBAL_SECTIONS.map(
(k) => `${k}:\n${(globals && globals[k]) || ""}`
).join("\n\n");
const blocks = [`${GLOBAL_MARK}\n\n${globalText}`];
for (const s of list) blocks.push(`${SCENE_MARK}\n\n${sceneFileText(s)}`);
return blocks.join("\n\n");
}
/**
* Full file contents for a prompt of any type. The META block is written only
* when there's something to persist — for MiniMax the `type:` is always written
* (so it isn't re-read as "default"); for the default type it is omitted (its
* absence implies "default"), keeping such files as clean plain text.
* @param {{ type:string, meta:{rating:number,loras:string[]}, body?:string,
* globals?:Record<string,string>, scenes?:object[] }} prompt
*/
function serializePrompt({ type, meta, body, globals, scenes }) {
const t = normalizeType(type);
const rating = clampRating(meta && meta.rating);
const loras = meta && Array.isArray(meta.loras) ? meta.loras : [];
const metaLines = [];
if (t !== DEFAULT_TYPE) metaLines.push(`type: ${t}`);
if (rating > 0) metaLines.push(`rating: ${rating}`);
if (loras.length) metaLines.push(`loras: ${loras.join(", ")}`);
const blocks = [];
if (metaLines.length) blocks.push(`${META_MARK}\n\n${metaLines.join("\n")}`);
if (t === MINIMAX_TYPE) blocks.push(serializeMinimaxBody(globals, scenes));
else blocks.push((body ?? "").replace(/\s+$/, ""));
return blocks.join("\n\n");
}
/**
* Return a copy of the scene where the content sections are "N/A" when empty
* and the global-capable ones are blank unless they really override the global
* (so a stale "N/A" from an older file is cleaned up on the next save).
*/
function normalizeScene(scene) {
const out = {};
for (const k of SECTION_ORDER) out[k] = scene[k] ?? "";
for (const k of CONTENT_SECTIONS) {
if ((out[k] ?? "").trim() === "") out[k] = EMPTY_SECTION;
}
for (const k of GLOBAL_SECTIONS) {
if (!isSectionFilled(out[k])) out[k] = "";
}
return out;
}
exports.SECTION_ORDER = SECTION_ORDER;
exports.GLOBAL_SECTIONS = GLOBAL_SECTIONS;
exports.CONTENT_SECTIONS = CONTENT_SECTIONS;
exports.SECTION_HINTS = SECTION_HINTS;
exports.EMPTY_SECTION = EMPTY_SECTION;
exports.REQUIRED_SECTIONS = REQUIRED_SECTIONS;
exports.isSectionFilled = isSectionFilled;
exports.missingRequiredSections = missingRequiredSections;
exports.MAX_RATING = MAX_RATING;
exports.emptyScene = emptyScene;
exports.emptyGlobals = emptyGlobals;
exports.emptyMeta = emptyMeta;
exports.clampRating = clampRating;
exports.parseList = parseList;
exports.parseMinimaxBody = parseMinimaxBody;
exports.looksLikeMinimax = looksLikeMinimax;
exports.parsePrompt = parsePrompt;
exports.effectiveSection = effectiveSection;
exports.sceneToText = sceneToText;
exports.serializeMinimaxBody = serializeMinimaxBody;
exports.serializePrompt = serializePrompt;
exports.normalizeScene = normalizeScene;
});
register("js/prompt-types.js", function (module, exports, require) {
/**
* Prompt TYPES (a.k.a. targets) for the Prompt Library.
*
* A prompt's type decides how it is edited, stored, and shown:
* - "default" — a single free-text prompt shown in one text field.
* - "minimax-h3-ref2va" — the structured scene format (subject_definitions,
* summary, retention_analysis, …) specific to the
* MiniMax H3 Ref2VA video model (see scenes.js).
*
* The type is stored as `type:` metadata in the .txt file. In its ABSENCE the
* prompt is treated as "default" and the whole file is shown as plain text.
*
* (Not to be confused with task-types.js, which are the checkboxes inside a
* MiniMax scene's summary.)
*/
const DEFAULT_TYPE = "default";
const MINIMAX_TYPE = "minimax-h3-ref2va";
/** Registry, in display order. */
const PROMPT_TYPES = [
{ id: DEFAULT_TYPE, label: "Default (plain text)" },
{ id: MINIMAX_TYPE, label: "MiniMax H3 Ref2VA" },
];
function isKnownType(id) {
return PROMPT_TYPES.some((t) => t.id === id);
}
/** A known type id, or DEFAULT_TYPE when missing/unknown. */
function normalizeType(id) {
return isKnownType(id) ? id : DEFAULT_TYPE;
}
function promptTypeLabel(id) {
return (PROMPT_TYPES.find((t) => t.id === id) || {}).label || id;
}
exports.DEFAULT_TYPE = DEFAULT_TYPE;
exports.MINIMAX_TYPE = MINIMAX_TYPE;
exports.PROMPT_TYPES = PROMPT_TYPES;
exports.isKnownType = isKnownType;
exports.normalizeType = normalizeType;
exports.promptTypeLabel = promptTypeLabel;
});
register("js/modal.js", function (module, exports, require) {
const { toast } = require("js/toast.js");
/**
* Generic modal dialog. Shows either plain text (monospace, e.g. the example
* prompt) or a trusted HTML fragment (e.g. section help). Optional Copy button.
*/
const $ = (id) => document.getElementById(id);
let el;
function initModal() {
el = {
root: $("modal"),
title: $("modalTitle"),
body: $("modalBody"),
copyBtn: $("modalCopyBtn"),
closeBtn: $("modalCloseBtn"),
};
el.closeBtn.addEventListener("click", closeModal);
el.root.querySelector(".modal-backdrop").addEventListener("click", closeModal);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
ev.stopImmediatePropagation(); // when open over another modal, close only this one
closeModal();
}
});
}
/**
* @param {Object} opts
* @param {string} [opts.title]
* @param {string} [opts.html] trusted HTML fragment (mutually exclusive with text)
* @param {string} [opts.text] plain text shown monospace/pre-wrapped
* @param {string} [opts.copyText] if set, a Copy button copies this to clipboard
*/
function openModal({ title = "", html = null, text = null, copyText = null } = {}) {
el.title.textContent = title;
if (html != null) {
el.body.className = "modal-body modal-html";
el.body.innerHTML = html;
} else {
el.body.className = "modal-body pre";
el.body.textContent = text ?? "";
}
if (copyText != null) {
el.copyBtn.hidden = false;
el.copyBtn.onclick = async () => {
try {
await navigator.clipboard.writeText(copyText);
toast("Copied.");
} catch {
toast("Clipboard blocked by the browser.", "warn");
}
};
} else {
el.copyBtn.hidden = true;
el.copyBtn.onclick = null;
}
el.body.scrollTop = 0;
el.root.hidden = false;
}
function closeModal() {
if (el) el.root.hidden = true;
}
exports.initModal = initModal;
exports.openModal = openModal;
exports.closeModal = closeModal;
});
register("js/toast.js", function (module, exports, require) {
/**
* Shared toast notifications. Non-blocking; optional action buttons keep the
* toast on screen until the user chooses (used for conflict resolution).
*
* @param {string} message
* @param {""|"warn"|"error"} [type]
* @param {{label: string, onClick: () => void}[]} [actions]
*/
function toast(message, type = "", actions = []) {
const host = document.getElementById("toasts");
if (!host) return;
const t = document.createElement("div");
t.className = "toast" + (type ? " " + type : "");
const msg = document.createElement("div");
msg.textContent = message;
t.appendChild(msg);
if (actions.length) {
const row = document.createElement("div");
row.className = "toast-actions";
for (const a of actions) {
const b = document.createElement("button");
b.className = "btn";
b.textContent = a.label;
b.addEventListener("click", () => {
try {
a.onClick();
} finally {
t.remove();
}
});
row.appendChild(b);
}
t.appendChild(row);
} else {
setTimeout(() => t.remove(), 4000);
}
host.appendChild(t);
}
exports.toast = toast;
});
register("js/prompt-library.js", function (module, exports, require) {
const { PromptLibraryAdapter } = require("js/storage/prompt-library-adapter.js");
const { idbGet, idbSet } = require("js/storage/idb.js");
const { state, applyLibraryFilters } = require("js/store.js");
const { SECTION_ORDER, GLOBAL_SECTIONS, CONTENT_SECTIONS, SECTION_HINTS, MAX_RATING, emptyScene, emptyGlobals, emptyMeta, clampRating, parseList, isSectionFilled, normalizeScene, sceneToText, missingRequiredSections, parseMinimaxBody, serializeMinimaxBody, looksLikeMinimax } = require("js/scenes.js");
const { PROMPT_TYPES, DEFAULT_TYPE, MINIMAX_TYPE, normalizeType } = require("js/prompt-types.js");
const { EXAMPLE_PROMPT } = require("js/help-example.js");
const { PROMPT_GUIDE_HTML } = require("js/prompt-guide.js");
const { SECTION_HELP } = require("js/section-help.js");
const { TASK_TYPES, TASK_TYPE_HINTS, parsePrefix, setPrefix } = require("js/task-types.js");
const { highlightHtml } = require("js/highlight.js");
const { openModal } = require("js/modal.js");
const { toast } = require("js/toast.js");
const { isLlmOnline, onLlmStatusChange } = require("js/llm/llm-config.js");
const { openTextAi } = require("js/text-ai.js");
const { openGlobalsAi } = require("js/globals-ai.js");
const { openReviewAi } = require("js/review-ai.js");
/**
* Prompt Library section (spec §1.2, §3.3): manage reusable prompts stored as
* one .txt per prompt in a folder of the user's choosing — separate from the
* images folder.
*
* A prompt has a TYPE (see prompt-types.js):
* - "default": a single plain-text field holding the whole prompt.
* - "minimax-h3-ref2va": prompt-level GLOBAL sections (subject_definitions,
* retention_analysis) plus a list of SCENES, each with all sections in
* canonical order and optional per-scene overrides (see scenes.js).
*
* The editor swaps between a plain-text field and the scene editor based on the
* type dropdown. The type can be changed to migrate; switching to MiniMax is
* refused unless the current text is already in MiniMax format.
*
* Master list on the left; the editor on the right. Copying/previewing a MiniMax
* scene yields the canonical "section:\n<text>" format with global fallback and
* "N/A" for blanks.
*/
const adapter = new PromptLibraryAdapter();
const $ = (id) => document.getElementById(id);
let el;
/** @type {import("./storage/prompt-library-adapter.js").PromptEntry|null} */
let current = null;
let isNew = false;
let baseline = "";
/** Textareas for the prompt-level global sections, keyed by section name. */
let globalTas = {};
/** Current prompt rating shown in the editor (0 = unrated). */
let ratingValue = 0;
/** The type of the prompt currently in the editor (drives which UI shows). */
let editorType = DEFAULT_TYPE;
function initLibrary() {
el = {
openBtn: $("libOpenBtn"),
reopenBtn: $("libReopenBtn"),
folderName: $("libFolderName"),
search: $("libSearch"),
newBtn: $("libNewBtn"),
counts: $("libCounts"),
list: $("libList"),
listToggle: $("libListToggle"),
layout: $("libLayout"),
editor: $("libEditor"),
empty: $("libEmpty"),
global: $("libGlobal"),
globalHead: $("libGlobalHead"),
globalGenBtn: $("libGlobalGenBtn"),
scroll: $("libScroll"),
title: $("libTitle"),
type: $("libType"),
body: $("libBody"),
bodyText: $("libBodyText"),
bodyGenBtn: $("libBodyGenBtn"),
rating: $("libRating"),
loras: $("libLorasInput"),
dirty: $("libDirty"),
reviewBtn: $("libReviewBtn"),
previewBtn: $("libPreviewBtn"),
duplicateBtn: $("libDuplicateBtn"),
deleteBtn: $("libDeleteBtn"),
saveBtn: $("libSaveBtn"),
menu: $("libMenu"),
scenes: $("libScenes"),
scenesFooter: $("libScenesFooter"),
addSceneBtn: $("libAddSceneBtn"),
collapseAllBtn: $("libCollapseAllBtn"),
meta: $("libEditMeta"),
helpBtn: $("libHelpBtn"),
guideBtn: $("libGuideBtn"),
};
// Fill the prompt-type dropdown from the registry.
for (const t of PROMPT_TYPES) {
const o = document.createElement("option");
o.value = t.id;
o.textContent = t.label;
el.type.appendChild(o);
}
el.openBtn.addEventListener("click", openPicker);
el.listToggle.addEventListener("click", toggleList);
el.newBtn.addEventListener("click", newPrompt);
el.saveBtn.addEventListener("click", save);
el.duplicateBtn.addEventListener("click", duplicate);
el.deleteBtn.addEventListener("click", remove);
el.addSceneBtn.addEventListener("click", addScene);
el.collapseAllBtn.addEventListener("click", toggleAll);
el.rating.addEventListener("mouseleave", clearHot);
el.loras.addEventListener("input", markDirty);
el.title.addEventListener("input", markDirty);
el.type.addEventListener("change", onTypeChange);
el.bodyText.addEventListener("input", () => {
autoGrow(el.bodyText);
markDirty();
});
el.bodyGenBtn.dataset.genTitle = "Generate this prompt with AI";
el.bodyGenBtn.addEventListener("click", generateDefault);
el.globalGenBtn.dataset.genTitle = "Generate subject_definitions / retention_analysis with AI";
el.globalGenBtn.addEventListener("click", generateGlobals);
el.reviewBtn.dataset.genTitle = "Review the whole prompt across all scenes with AI";
el.reviewBtn.addEventListener("click", reviewPrompt);
el.previewBtn.addEventListener("click", previewPrompt);
// Enable/disable the "Generate" buttons with LLM connectivity.
onLlmStatusChange(updateGenButtons);
el.search.addEventListener("input", () => {
state.library.search = el.search.value;
applyLibraryFilters();
renderList();
});
// Show the full example prompt (with a Copy action).
el.helpBtn.addEventListener("click", () =>
openModal({
title: "Example prompt",
text: EXAMPLE_PROMPT,
copyText: EXAMPLE_PROMPT,
})
);
// Show the full prompt guide.
el.guideBtn.addEventListener("click", () =>
openModal({ title: "Prompt guide", html: PROMPT_GUIDE_HTML })
);
// The prompt header's overflow menu is static markup; the scene ones are built
// by makeActionMenu, which wires itself.
wireActionMenu(el.menu);
// Any click outside an open "⋮" menu dismisses it (the menu button and its
// items handle their own closing).
document.addEventListener("click", () => closeActionMenus());
document.addEventListener("keydown", (ev) => {
if (state.section !== "library") return;
const mod = ev.ctrlKey || ev.metaKey;
if (mod && (ev.key === "s" || ev.key === "S")) {
ev.preventDefault();
if (!el.saveBtn.disabled) save();
}
if (mod && (ev.key === "b" || ev.key === "B")) {
ev.preventDefault();
toggleList();
}
if (ev.key === "Escape") closeActionMenus();
});
applyListCollapsed();
restore();
}
/** Focus this section's search (called from the global Ctrl+F handler). */
function focusSearch() {
el.search.focus();
el.search.select();
}
function isDirty() {
return state.library.dirty;
}
/** Re-measure textareas that may have been rendered while the section was hidden. */
function onShow() {
regrowVisible();
}
/**
* Re-grow every currently-visible textarea for the active type. A textarea
* measured while hidden (display:none) reports scrollHeight 0 and stays
* collapsed, so ANYTHING that reveals fields must re-measure afterwards — this is
* the single place that does it (called from onShow, applyTypeView and
* applyListCollapsed, which changes how wide the editor is).
*/
function regrowVisible() {
if (editorType === MINIMAX_TYPE) {
for (const ta of Object.values(globalTas)) autoGrow(ta);
for (const c of el.scenes.querySelectorAll(".scene-card")) {
if (c.classList.contains("collapsed")) continue;
for (const ta of c.querySelectorAll(".scene-section")) autoGrow(ta);
}
} else {
autoGrow(el.bodyText);
}
}
/**
* Collapse/expand the master list (Ctrl+B) so the editor can use the whole
* width — long sections are much easier to read and write wide.
*/
function toggleList() {
state.library.listCollapsed = !state.library.listCollapsed;
applyListCollapsed();
}
function applyListCollapsed() {
const collapsed = state.library.listCollapsed;
el.layout.classList.toggle("list-collapsed", collapsed);
el.listToggle.textContent = collapsed ? "⟩" : "⟨";
el.listToggle.title = collapsed
? "Show the prompt list (Ctrl+B)"
: "Hide the prompt list (Ctrl+B)";
el.listToggle.setAttribute("aria-label", el.listToggle.title);
el.listToggle.setAttribute("aria-expanded", collapsed ? "false" : "true");
// The editor just changed width, so wrapped textareas need a fresh measure.
regrowVisible();
}
// ---------------------------------------------------------------------------
// Rendering
// ---------------------------------------------------------------------------
function updateCounts() {
const n = state.library.entries.length;
el.counts.textContent = n ? `${n} prompt${n === 1 ? "" : "s"}` : "";
}
function renderList() {
el.list.textContent = "";
const frag = document.createDocumentFragment();
for (const e of state.library.filtered) {
const item = document.createElement("div");
item.className = "lib-item";
if (!isNew && current && e.name === current.name) item.classList.add("active");
const t = document.createElement("div");
t.className = "t";
t.textContent = e.title;
item.appendChild(t);
const sub = document.createElement("div");
sub.className = "tags";
const type = normalizeType(e.type);
if (type === MINIMAX_TYPE) {
const count = e.scenes.length;
sub.textContent = `${count} scene${count === 1 ? "" : "s"}`;
} else {
sub.textContent = "text";
}
const rating = e.meta ? e.meta.rating : 0;
if (rating > 0) {
const stars = document.createElement("span");
stars.className = "stars";
stars.textContent = " · " + starsText(rating);
sub.appendChild(stars);
}
const incomplete =
type === MINIMAX_TYPE
? e.scenes.filter((s) => sceneMissing(s).length > 0).length
: 0;
if (incomplete > 0) {
const flag = document.createElement("span");
flag.className = "lib-incomplete";
flag.textContent = ` · ⚠ ${incomplete} incomplete`;
flag.title = `${incomplete} scene${incomplete === 1 ? "" : "s"} missing a required section or task type`;
sub.appendChild(flag);
}
item.appendChild(sub);
item.addEventListener("click", () => selectEntry(e));
frag.appendChild(item);
}
el.list.appendChild(frag);
}
function autoGrow(ta) {
ta.style.height = "auto";
ta.style.height = ta.scrollHeight + "px";
}
/** Word count of a textarea's value (0 for blank). */
function countWords(text) {
const t = (text ?? "").trim();
return t ? t.split(/\s+/).length : 0;
}
/** A label row for a section, with an optional "?" help button. */
function makeLabelRow(key) {
const labelRow = document.createElement("div");
labelRow.className = "scene-label-row";
const label = document.createElement("label");
label.textContent = key;
labelRow.appendChild(label);
if (SECTION_HELP[key]) {
const help = document.createElement("button");
help.type = "button";
help.className = "section-help";
help.textContent = "?";
help.title = `About the "${key}" section`;
help.addEventListener("click", () =>
openModal({ title: `${key} — guidance`, html: SECTION_HELP[key] })
);
labelRow.appendChild(help);
}
return labelRow;
}
/** A textarea with a highlight backdrop. `section` (or null) sets dataset. */
function makeHighlightedTextarea(section, value) {
const wrap = document.createElement("div");
wrap.className = "hl-wrap";
const backdrop = document.createElement("div");
backdrop.className = "hl-backdrop";
backdrop.setAttribute("aria-hidden", "true");
backdrop.innerHTML = highlightHtml(value ?? "");
const ta = document.createElement("textarea");
ta.className = "scene-section";
if (section) ta.dataset.section = section;
ta.value = value ?? "";
ta.addEventListener("input", () => {
backdrop.innerHTML = highlightHtml(ta.value);
autoGrow(ta);
markDirty();
});
wrap.append(backdrop, ta);
return { wrap, ta, backdrop };
}
/** Task types currently checked in a group, in canonical table order. */
function readChosenTypes(group) {
const checked = new Set();
for (const cb of group.querySelectorAll('input[type="checkbox"]')) {
if (cb.checked) checked.add(cb.value);
}
return TASK_TYPES.filter((t) => checked.has(t));
}
/** Build the task-type checkbox row bound to a summary textarea. */
function makeTaskTypes(summaryTa) {
const group = document.createElement("div");
group.className = "task-types";
const grid = document.createElement("div");
grid.className = "task-types-grid";
const selected = new Set(parsePrefix(summaryTa.value).types);
for (const t of TASK_TYPES) {
const lab = document.createElement("label");
lab.className = "task-type";
lab.title = TASK_TYPE_HINTS[t] ?? "";
const cb = document.createElement("input");
cb.type = "checkbox";
cb.value = t;
cb.checked = selected.has(t);
cb.addEventListener("change", () => {
summaryTa.value = setPrefix(summaryTa.value, readChosenTypes(group));
// Re-run the textarea input pipeline (backdrop highlight, autoGrow,
// dirty, checkbox sync) from one place.
summaryTa.dispatchEvent(new Event("input", { bubbles: true }));
});
lab.append(cb, document.createTextNode(" " + t));
grid.appendChild(lab);
}
group.appendChild(grid);
return group;
}
/** Reflect a manually edited summary prefix back into the checkboxes. */
function syncTaskTypes(group, summaryTa) {
const selected = new Set(parsePrefix(summaryTa.value).types);
for (const cb of group.querySelectorAll('input[type="checkbox"]')) {
cb.checked = selected.has(cb.value);
}
}
/**
* Build the collapsible group that holds a scene's optional overrides for the
* global-capable sections (GLOBAL_SECTIONS). It is hidden by default — these
* fields duplicate the prompt-level globals and are rarely set per scene, so
* keeping them out of the way saves vertical space.
* @returns {{group: HTMLDivElement, body: HTMLDivElement, toggle: HTMLButtonElement}}
*/
function makeOverrideGroup() {
const group = document.createElement("div");
group.className = "scene-overrides collapsed";
const toggle = document.createElement("button");
toggle.type = "button";
toggle.className = "scene-overrides-toggle";
toggle.addEventListener("click", () =>
setOverridesShown(group, group.classList.contains("collapsed"))
);
const body = document.createElement("div");
body.className = "scene-overrides-body";
group.append(toggle, body);
setOverridesShown(group, false); // initialize the collapsed-state toggle label
return { group, body, toggle };
}
/** Show or hide a scene's override group and refresh its toggle label. */
function setOverridesShown(group, shown) {
group.classList.toggle("collapsed", !shown);
updateOverrideBadge(group);
// Textareas measured while hidden have 0 height; re-grow them on reveal.
if (shown) {
for (const ta of group.querySelectorAll(".scene-section")) autoGrow(ta);
}
}
/**
* Refresh the override group's affordance: flag the group when the scene
* actually overrides a global-capable section, and name those sections in the
* collapsed label — an applied override must be obvious without expanding
* (collapsed it is styled green, see `.scene-overrides.has-override`).
* The group body holds only the GLOBAL_SECTIONS fields, so every
* `.scene-section` inside it is an override.
*/
function updateOverrideBadge(group) {
const overridden = [...group.querySelectorAll(".scene-section")]
.filter((ta) => isSectionFilled(ta.value))
.map((ta) => ta.dataset.section);
group.classList.toggle("has-override", overridden.length > 0);
const toggle = group.querySelector(".scene-overrides-toggle");
if (!toggle) return;
const shown = !group.classList.contains("collapsed");
if (shown) {
toggle.textContent = "▾ Hide scene overrides";
toggle.title = "Hide the optional per-scene overrides";
} else if (overridden.length) {
toggle.textContent = "▸ Overrides · ";
// The section names keep their on-disk lowercase spelling, unlike the
// uppercased label around them.
const names = document.createElement("span");
names.className = "scene-overrides-names";
names.textContent = overridden.join(", ");
toggle.appendChild(names);
toggle.title = `This scene overrides ${overridden.join(", ")} — click to show`;
} else {
toggle.textContent = "▸ Scene overrides (optional)";
toggle.title =
"Show optional per-scene overrides for " + GLOBAL_SECTIONS.join(", ");
}
}
/**
* Mark a button as an AI action: it needs a live LLM, so it is disabled while
* offline and re-enabled by updateGenButtons() (which keys off `.scene-generate`
* and `dataset.genTitle`).
*/
function markAiAction(btn, genTitle) {
btn.type = "button";
btn.classList.add("scene-generate"); // the look is the caller's business
btn.dataset.genTitle = genTitle;
btn.disabled = !isLlmOnline();
btn.title = isLlmOnline()
? genTitle
: "AI not connected — configure it in AI settings";
return btn;
}
/**
* Build a "⋮" overflow menu. Only the actions used while writing stay visible in
* a header; the occasional ones go here, so the header holds a single row
* however many actions exist. Used for the scene headers; the prompt header's
* menu is the same component declared in index.html and wired with
* `wireActionMenu`.
* @param {{label:string, onClick:()=>void, title?:string, ai?:string,
* danger?:boolean}[]} items `ai` marks an LLM action (its text is the
* tooltip); `danger` styles a destructive one.
*/
function makeActionMenu(items) {
const wrap = document.createElement("div");
wrap.className = "action-menu";
const btn = document.createElement("button");
btn.type = "button";
btn.className = "btn action-menu-btn";
btn.textContent = "⋮";
btn.title = "More actions";
btn.setAttribute("aria-haspopup", "menu");
btn.setAttribute("aria-expanded", "false");
const list = document.createElement("div");
list.className = "action-menu-list";
list.setAttribute("role", "menu");
list.hidden = true;
for (const it of items) {
const item = document.createElement("button");
item.type = "button";
item.className = "action-menu-item" + (it.danger ? " danger" : "");
item.setAttribute("role", "menuitem");
item.textContent = it.label;
if (it.ai) markAiAction(item, it.ai);
else if (it.title) item.title = it.title;
item.addEventListener("click", it.onClick);
list.appendChild(item);
}
wrap.append(btn, list);
wireActionMenu(wrap);
return wrap;
}
/** Give an "⋮" menu (built here or declared in HTML) its open/close behavior. */
function wireActionMenu(wrap) {
wrap.querySelector(".action-menu-btn").addEventListener("click", (ev) => {
ev.stopPropagation(); // don't let the document handler close it again
const wasOpen = isActionMenuOpen(wrap);
closeActionMenus();
if (!wasOpen) openActionMenu(wrap);
});
// Picking any item dismisses the menu; the item's own handler does the work.
wrap.querySelector(".action-menu-list").addEventListener("click", closeActionMenus);
}
function isActionMenuOpen(wrap) {
const list = wrap.querySelector(".action-menu-list");
return !!list && !list.hidden;
}
/** Open one menu, dropping it upwards when its anchor sits low in the scroll area. */
function openActionMenu(wrap) {
const list = wrap.querySelector(".action-menu-list");
list.hidden = false; // must be visible to measure
wrap.querySelector(".action-menu-btn").setAttribute("aria-expanded", "true");
// #libScroll clips its overflow, so a menu opening down near the bottom of the
// scene list would be cut off — flip it above the button instead. (Menus above
// the scroll area, like the prompt header's, always have room.)
const room = el.scroll.getBoundingClientRect().bottom - wrap.getBoundingClientRect().bottom;
wrap.classList.toggle("flip-up", room < list.offsetHeight + 8);
}
/** Close every menu in the editor (at most one is open, but this stays state-free). */
function closeActionMenus() {
for (const wrap of el.editor.querySelectorAll(".action-menu")) {
wrap.querySelector(".action-menu-list").hidden = true;
wrap.querySelector(".action-menu-btn").setAttribute("aria-expanded", "false");
wrap.classList.remove("flip-up");
}
}
function makeSceneCard(scene, index, total) {
const card = document.createElement("div");
card.className = "scene-card";
const head = document.createElement("div");
head.className = "scene-head";
const toggle = document.createElement("button");
toggle.type = "button";
toggle.className = "scene-toggle";
toggle.title = "Collapse / expand this scene";
toggle.textContent = "▾";
toggle.addEventListener("click", () => toggleCard(card));
const title = document.createElement("span");
title.className = "scene-title";
title.textContent = `Scene ${index + 1}`;
// Clicking the title also toggles, for a bigger hit target.
title.addEventListener("click", () => toggleCard(card));
// Flags a scene missing a required section (summary, detailed_description) or
// a task type. Kept in sync live via the card's input listener below.
const status = document.createElement("span");
status.className = "scene-status";
status.hidden = true;
const spacer = document.createElement("span");
spacer.className = "spacer";
// The header keeps only the actions used while writing a scene; the rest live
// in the "⋮" menu so the row never wraps.
const genBtn = document.createElement("button");
genBtn.className = "btn";
genBtn.textContent = "✨ Generate";
markAiAction(genBtn, "Generate a fresh scene with AI");
genBtn.addEventListener("click", () => generateScene(card, { improve: false }));
const copyBtn = document.createElement("button");
copyBtn.className = "btn";
copyBtn.textContent = "📋 Copy";
copyBtn.title = "Copy this scene in section:\\n<text> format";
copyBtn.addEventListener("click", () => copyScene(card));
const upBtn = document.createElement("button");
upBtn.className = "btn scene-move";
upBtn.textContent = "↑";
upBtn.title = "Move this scene up";
upBtn.disabled = index === 0;
upBtn.addEventListener("click", () => moveScene(card, -1));
const downBtn = document.createElement("button");
downBtn.className = "btn scene-move";
downBtn.textContent = "↓";
downBtn.title = "Move this scene down";
downBtn.disabled = index === total - 1;
downBtn.addEventListener("click", () => moveScene(card, 1));
const menu = makeActionMenu([
{
label: "Paste from clipboard",
title: "Fill this scene's sections from a scene in the clipboard",
onClick: () => pasteScene(card),
},
{
label: "Improve with AI",
ai: "Improve this scene's current content with AI",
onClick: () => generateScene(card, { improve: true }),
},
{
label: "Review with AI",
ai: "Review this scene against its neighbours with AI",
onClick: () => reviewScene(card),
},
{
label: "Preview",
title: "Preview the copied result of this scene",
onClick: () => previewScene(card),
},
{
label: "Duplicate",
title: "Add a new scene below with this scene's content",
onClick: () => duplicateScene(card),
},
{ label: "Remove", danger: true, onClick: () => removeScene(card) },
]);
head.append(toggle, title, status, spacer, genBtn, copyBtn, upBtn, downBtn, menu);
card.appendChild(head);
const body = document.createElement("div");
body.className = "scene-body";
// The global-capable sections are per-scene overrides that fall back to the
// prompt-level globals. They live in a group that is hidden by default; the
// content sections (summary, detailed_description) render inline.
const { group: overrideGroup, body: overrideBody } = makeOverrideGroup();
body.appendChild(overrideGroup);
for (const key of SECTION_ORDER) {
const isOverride = GLOBAL_SECTIONS.includes(key);
const target = isOverride ? overrideBody : body;
const labelRow = makeLabelRow(key);
const hint = document.createElement("p");
hint.className = "scene-hint";
hint.textContent = SECTION_HINTS[key] ?? "";
const { wrap, ta } = makeHighlightedTextarea(key, scene[key]);
target.append(labelRow, hint);
// Summary: task-type checkboxes after the label, just above the field.
if (key === "summary") {
const group = makeTaskTypes(ta);
ta.addEventListener("input", () => syncTaskTypes(group, ta));
target.append(group);
}
// detailed_description: a live word count in the label row (the guide targets
// ~350–500 words for this section).
if (key === "detailed_description") {
const count = document.createElement("span");
count.className = "word-count";
count.title = "Word count — the guide targets ~350–500 words for detailed_description";
const updateCount = () => {
const n = countWords(ta.value);
count.textContent = `${n} word${n === 1 ? "" : "s"}`;
};
updateCount();
ta.addEventListener("input", updateCount);
labelRow.appendChild(count);
}
target.append(wrap);
}
// Per-scene override generation: same flow as the prompt-level globals, but
// targeting this scene's override fields. Lives at the top of the group body.
const ovGenBtn = document.createElement("button");
ovGenBtn.type = "button";
ovGenBtn.className = "btn scene-generate scene-override-gen";
ovGenBtn.textContent = "✨ Generate";
ovGenBtn.dataset.genTitle = "Generate this scene's override subject_definitions / retention_analysis with AI";
ovGenBtn.disabled = !isLlmOnline();
ovGenBtn.title = isLlmOnline() ? ovGenBtn.dataset.genTitle : "AI not connected — configure it in AI settings";
ovGenBtn.addEventListener("click", () => generateSceneOverride(card));
overrideBody.insertBefore(ovGenBtn, overrideBody.firstChild);
// Reveal the override group up front when a scene already customizes one of
// those sections, so existing overrides are never hidden from the user.
const hasOverride = GLOBAL_SECTIONS.some((k) => isSectionFilled(scene[k]));
if (hasOverride) setOverridesShown(overrideGroup, true);
card.appendChild(body);
// Keep the "incomplete" flag and the override marker current: input events
// from any field bubble here.
card.addEventListener("input", () => {
updateSceneStatus(card);
updateOverrideBadge(overrideGroup);
});
updateSceneStatus(card);
return card;
}
/**
* What a scene is missing to be complete: the required sections, plus at least
* one task type in the summary (the [...] prefix). Returns [] when complete.
*/
function sceneMissing(scene) {
const missing = missingRequiredSections(scene);
if (parsePrefix(scene.summary || "").types.length === 0) missing.push("task type");
return missing;
}
/** Flag a scene card when it is missing anything required. */
function updateSceneStatus(card) {
const missing = sceneMissing(sceneFromCard(card));
card.classList.toggle("incomplete", missing.length > 0);
const badge = card.querySelector(".scene-status");
if (!badge) return;
badge.hidden = missing.length === 0;
badge.textContent = missing.length ? "⚠ Incomplete" : "";
badge.title = missing.length ? "Missing: " + missing.join(", ") : "";
}
/** Collapse or expand one scene card. Re-grows textareas when expanding. */
function setCollapsed(card, collapsed) {
card.classList.toggle("collapsed", collapsed);
const toggle = card.querySelector(".scene-toggle");
if (toggle) toggle.textContent = collapsed ? "▸" : "▾";
if (!collapsed) {
for (const ta of card.querySelectorAll(".scene-section")) autoGrow(ta);
}
}
/** Toggle a single card (from its caret or title) and refresh the "all" label. */
function toggleCard(card) {
setCollapsed(card, !card.classList.contains("collapsed"));
updateCollapseAllLabel();
}
/** Collapse everything if anything is expanded; otherwise expand everything. */
function toggleAll() {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
if (cards.length === 0) return;
const anyExpanded = cards.some((c) => !c.classList.contains("collapsed"));
for (const c of cards) setCollapsed(c, anyExpanded);
updateCollapseAllLabel();
}
/** Keep the "Collapse all"/"Expand all" button label in sync with the cards. */
function updateCollapseAllLabel() {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const allCollapsed =
cards.length > 0 && cards.every((c) => c.classList.contains("collapsed"));
el.collapseAllBtn.textContent = allCollapsed ? "Expand all" : "Collapse all";
el.collapseAllBtn.disabled = cards.length === 0;
}
/** Snapshot of which scene cards are currently collapsed, by index. */
function readCollapsed() {
return [...el.scenes.querySelectorAll(".scene-card")].map((c) =>
c.classList.contains("collapsed")
);
}
/**
* @param {import("./scenes.js").Scene[]} scenes
* @param {boolean[]} [collapsed] per-index collapsed state to restore
*/
function renderScenes(scenes, collapsed = []) {
el.scenes.textContent = "";
const frag = document.createDocumentFragment();
const cards = scenes.map((sc, i) => makeSceneCard(sc, i, scenes.length));
cards.forEach((c) => frag.appendChild(c));
el.scenes.appendChild(frag);
// Apply collapsed state, then grow only the textareas that are visible
// (a collapsed card has 0-height textareas until it is expanded).
cards.forEach((c, i) => {
if (collapsed[i]) setCollapsed(c, true);
});
for (const c of cards) {
if (c.classList.contains("collapsed")) continue;
for (const ta of c.querySelectorAll(".scene-section")) autoGrow(ta);
}
updateCollapseAllLabel();
}
/** Render the prompt-level (global) sections. */
function renderGlobals(globals) {
el.global.textContent = "";
globalTas = {};
for (const key of GLOBAL_SECTIONS) {
const labelRow = makeLabelRow(key);
const tag = document.createElement("span");
tag.className = "global-tag";
tag.textContent = "global";
labelRow.querySelector("label").after(tag);
const hint = document.createElement("p");
hint.className = "scene-hint";
hint.textContent =
"Shared by all scenes. A scene fills this in only to override it.";
const { wrap, ta } = makeHighlightedTextarea(null, (globals && globals[key]) || "");
globalTas[key] = ta;
el.global.append(labelRow, hint, wrap);
autoGrow(ta);
}
}
function readGlobals() {
const g = {};
for (const key of GLOBAL_SECTIONS) g[key] = globalTas[key] ? globalTas[key].value : "";
return g;
}
// ---------------------------------------------------------------------------
// Rating — prompt-level metadata (shown in the UI, never copied to the clipboard)
// ---------------------------------------------------------------------------
/** Render the 1..MAX_RATING star control for `value` (0 = unrated). */
function renderRating(value) {
ratingValue = clampRating(value);
el.rating.textContent = "";
for (let i = 1; i <= MAX_RATING; i++) {
const star = document.createElement("button");
star.type = "button";
star.className = "star" + (i <= ratingValue ? " on" : "");
star.textContent = i <= ratingValue ? "★" : "☆";
star.title =
`Rate ${i} / ${MAX_RATING}` + (ratingValue === i ? " · click again to clear" : "");
star.addEventListener("mouseenter", () => hotUpTo(i)); // hover preview
// Clicking the current rating again clears it (back to unrated).
star.addEventListener("click", () => setRating(ratingValue === i ? 0 : i));
el.rating.appendChild(star);
}
}
/** Light every star up to `n` during hover (preview of the value a click sets). */
function hotUpTo(n) {
el.rating.querySelectorAll(".star").forEach((s, i) => s.classList.toggle("hot", i < n));
}
function clearHot() {
for (const s of el.rating.querySelectorAll(".star")) s.classList.remove("hot");
}
function setRating(value) {
renderRating(value);
markDirty();
}
/** Prompt-level metadata read from the editor. */
function readMeta() {
return { rating: ratingValue, loras: parseList(el.loras.value) };
}
/** Read-only star string (e.g. "★★★☆☆") for a saved rating; "" when unrated. */
function starsText(rating) {
const r = clampRating(rating);
return r ? "★".repeat(r) + "☆".repeat(MAX_RATING - r) : "";
}
/** Read the scenes currently shown in the editor, in order. */
function readScenes() {
const scenes = [];
for (const card of el.scenes.querySelectorAll(".scene-card")) {
const scene = emptyScene();
for (const ta of card.querySelectorAll(".scene-section")) {
scene[ta.dataset.section] = ta.value;
}
scenes.push(scene);
}
return scenes;
}
function updateMeta() {
const name = isNew || !current?.name ? "(unsaved)" : current.name;
if (editorType === MINIMAX_TYPE) {
const n = el.scenes.querySelectorAll(".scene-card").length;
el.meta.textContent = `${name} · ${n} scene${n === 1 ? "" : "s"}`;
} else {
el.meta.textContent = `${name} · plain text`;
}
}
// ---------------------------------------------------------------------------
// Dirty tracking
// ---------------------------------------------------------------------------
function snapshot() {
return JSON.stringify({
t: el.title.value,
ty: el.type.value,
m: readMeta(),
b: el.bodyText.value,
g: readGlobals(),
s: readScenes(),
});
}
function setDirty(b) {
state.library.dirty = b;
el.dirty.hidden = !b;
el.saveBtn.disabled = !b;
}
function markDirty() {
setDirty(isNew || snapshot() !== baseline);
updateMeta();
}
function setBaseline() {
baseline = snapshot();
}
// ---------------------------------------------------------------------------
// Editor state
// ---------------------------------------------------------------------------
function loadIntoEditor(entry) {
el.empty.hidden = true;
el.editor.hidden = false;
el.title.value = entry.title || "";
editorType = normalizeType(entry.type);
el.type.value = editorType;
renderRating(entry.meta ? entry.meta.rating : 0);
el.loras.value = (entry.meta && entry.meta.loras ? entry.meta.loras : []).join(", ");
if (editorType === MINIMAX_TYPE) {
el.bodyText.value = "";
renderGlobals(entry.globals || emptyGlobals());
// Deep-copy scenes so edits don't mutate the stored entry until Save.
renderScenes((entry.scenes && entry.scenes.length ? entry.scenes : [emptyScene()]).map((s) => ({ ...s })));
} else {
el.bodyText.value = entry.body || "";
el.global.textContent = "";
globalTas = {};
el.scenes.textContent = "";
autoGrow(el.bodyText);
}
applyTypeView(editorType);
setBaseline();
setDirty(false);
updateMeta();
}
/** Show the fields that belong to the current type; hide the others. */
function applyTypeView(type) {
const minimax = type === MINIMAX_TYPE;
el.body.hidden = minimax;
el.global.hidden = !minimax;
el.globalHead.hidden = !minimax;
el.scenes.hidden = !minimax;
el.scenesFooter.hidden = !minimax;
el.reviewBtn.hidden = !minimax; // whole-prompt review only applies to MiniMax
updateGenButtons(); // sync Generate buttons for the now-visible fields
// Fields just became visible; re-grow any textareas measured while hidden.
regrowVisible();
}
/** Open the AI generator for the prompt-level globals; result fills the fields. */
function generateGlobals() {
const g = readGlobals();
openGlobalsAi({
subjectDefs: g.subject_definitions || "",
retention: g.retention_analysis || "",
onApply: ({ subjectDefs, retention }) => {
setGlobalValue("subject_definitions", subjectDefs);
if ((retention ?? "").trim() !== "") setGlobalValue("retention_analysis", retention);
},
});
}
/** Set a global textarea's value and run its input pipeline (highlight/grow/dirty). */
function setGlobalValue(key, value) {
const ta = globalTas[key];
if (!ta) return;
ta.value = value;
ta.dispatchEvent(new Event("input", { bubbles: true }));
}
/** Open the globals generator scoped to a single scene's override fields. */
function generateSceneOverride(card) {
const subjTa = card.querySelector('.scene-section[data-section="subject_definitions"]');
const retTa = card.querySelector('.scene-section[data-section="retention_analysis"]');
openGlobalsAi({
subjectDefs: subjTa ? subjTa.value : "",
retention: retTa ? retTa.value : "",
onApply: ({ subjectDefs, retention }) => {
if (subjTa) {
subjTa.value = subjectDefs;
subjTa.dispatchEvent(new Event("input", { bubbles: true }));
}
if (retTa) {
retTa.value = retention;
retTa.dispatchEvent(new Event("input", { bubbles: true }));
}
const group = card.querySelector(".scene-overrides");
if (group) setOverridesShown(group, true); // keep the applied overrides visible
},
});
}
function clearEditor() {
current = null;
isNew = false;
editorType = DEFAULT_TYPE;
globalTas = {};
el.global.textContent = "";
el.scenes.textContent = "";
el.bodyText.value = "";
el.editor.hidden = true;
el.empty.hidden = false;
el.empty.dataset.mode = adapter.dirHandle ? "select" : "nofolder";
setDirty(false);
}
function maybeDiscard() {
if (!state.library.dirty) return true;
return window.confirm("Discard unsaved changes to this prompt?");
}
function selectEntry(entry) {
if (current && entry.name === current.name && !isNew) return;
if (!maybeDiscard()) return;
current = entry;
isNew = false;
state.library.selectedName = entry.name;
loadIntoEditor(entry);
renderList();
}
function newPrompt() {
if (!adapter.dirHandle) {
toast("Open a library folder first.", "warn");
return;
}
if (!maybeDiscard()) return;
current = {
name: "",
title: "",
mtime: 0,
type: DEFAULT_TYPE, // new prompts start as plain text; switchable to MiniMax
meta: emptyMeta(),
body: "",
globals: emptyGlobals(),
scenes: [],
_handle: null,
};
isNew = true;
state.library.selectedName = null;
loadIntoEditor(current);
setDirty(true); // a brand-new prompt is unsaved by definition
renderList();
el.title.focus();
}
/**
* Switch the prompt type. Converting default -> MiniMax requires the current
* text to be in MiniMax format (otherwise it fails and reverts). MiniMax ->
* default flattens the scenes/globals into editable plain text.
*/
function onTypeChange() {
const newType = el.type.value;
if (newType === editorType) return;
if (newType === MINIMAX_TYPE) {
const body = el.bodyText.value;
// Empty text -> start a fresh MiniMax scene. Only reject non-empty text
// that isn't already in MiniMax format (nothing safe to migrate).
if (body.trim() && !looksLikeMinimax(body)) {
toast(
"This text isn't in MiniMax H3 Ref2VA format (no scene/section structure), so it can't be converted.",
"error"
);
el.type.value = editorType; // revert the dropdown
return;
}
const { globals, scenes } = parseMinimaxBody(body);
editorType = MINIMAX_TYPE;
el.bodyText.value = "";
renderGlobals(globals);
renderScenes(scenes);
} else {
// Flatten the structured prompt into plain text (lossless + re-parseable).
const body = serializeMinimaxBody(readGlobals(), readScenes().map(normalizeScene));
editorType = DEFAULT_TYPE;
el.bodyText.value = body;
el.global.textContent = "";
globalTas = {};
el.scenes.textContent = "";
autoGrow(el.bodyText);
}
applyTypeView(editorType);
updateCollapseAllLabel();
updateMeta();
markDirty();
}
/** A unique "<base> copy" title that doesn't collide with existing prompts. */
function suggestCopyTitle(base) {
const titles = new Set(state.library.entries.map((e) => e.title));
const first = `${base} copy`;
if (!titles.has(first)) return first;
let n = 2;
while (titles.has(`${base} copy ${n}`)) n++;
return `${base} copy ${n}`;
}
/**
* Duplicate the currently open prompt (its scenes as shown in the editor) into
* a new, unsaved prompt with a suggested unique title. Nothing is written until
* the user presses Save.
*/
function duplicate() {
if (!current) return;
const meta = readMeta();
const base = (el.title.value || current.title || "prompt").trim() || "prompt";
const isMinimax = editorType === MINIMAX_TYPE;
current = {
name: "",
title: suggestCopyTitle(base),
mtime: 0,
type: editorType,
meta,
body: isMinimax ? "" : el.bodyText.value,
globals: isMinimax ? readGlobals() : emptyGlobals(),
scenes: isMinimax ? readScenes().map((s) => ({ ...s })) : [],
_handle: null,
};
isNew = true;
state.library.selectedName = null;
loadIntoEditor(current);
setDirty(true); // it's a new, unsaved copy
renderList();
el.title.focus();
el.title.select();
toast("Duplicated — review the title and Save.");
}
// ---------------------------------------------------------------------------
// Scene actions
// ---------------------------------------------------------------------------
function addScene() {
const scenes = readScenes();
// Collapse every existing scene so the freshly added one is the sole focus.
const collapsed = scenes.map(() => true);
scenes.push(emptyScene());
collapsed.push(false); // the new scene starts expanded
renderScenes(scenes, collapsed);
el.scroll.scrollTop = el.scroll.scrollHeight;
const cards = el.scenes.querySelectorAll(".scene-card");
const last = cards[cards.length - 1];
// Focus the first visible content field (overrides start hidden).
last?.querySelector('.scene-section[data-section="summary"]')?.focus();
markDirty();
}
/** Move a scene up (dir -1) or down (dir +1), swapping with its neighbour. */
function moveScene(card, dir) {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const idx = cards.indexOf(card);
if (idx < 0) return;
const to = idx + dir;
if (to < 0 || to >= cards.length) return;
const collapsed = readCollapsed();
const scenes = readScenes();
// Swap the scene and its collapsed state with the neighbour.
[scenes[idx], scenes[to]] = [scenes[to], scenes[idx]];
[collapsed[idx], collapsed[to]] = [collapsed[to], collapsed[idx]];
renderScenes(scenes, collapsed);
el.scenes.querySelectorAll(".scene-card")[to]?.scrollIntoView({ block: "nearest" });
markDirty();
}
/** Append a copy of a scene at the end, using its current editor content. */
function duplicateScene(card) {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const idx = cards.indexOf(card);
if (idx < 0) return;
const collapsed = readCollapsed();
const scenes = readScenes();
scenes.push({ ...scenes[idx] }); // copy of the scene's sections, appended last
collapsed.push(false); // the new copy starts expanded
renderScenes(scenes, collapsed);
el.scroll.scrollTop = el.scroll.scrollHeight;
const newCard = el.scenes.querySelector(".scene-card:last-child");
newCard?.querySelector('.scene-section[data-section="summary"]')?.focus();
markDirty();
toast("Scene duplicated.");
}
/** Non-empty sections of a scene as canonical text, for LLM context. */
function sceneContextText(scene) {
return SECTION_ORDER.filter((k) => (scene[k] ?? "").trim() !== "")
.map((k) => `${k}:\n${scene[k].trim()}`)
.join("\n\n");
}
/** Text of a section only when it holds real content (not blank/"N/A"). */
function filledSection(v) {
const t = (v ?? "").trim();
return t && t.toUpperCase() !== "N/A" ? t : "";
}
/** True when a parsed scene has at least one recognized section with content. */
function sceneHasContent(scene) {
return !!scene && SECTION_ORDER.some((k) => filledSection(scene[k]));
}
/** Non-empty CONTENT sections of a scene as canonical text (excludes globals). */
function contentContextText(scene) {
return CONTENT_SECTIONS.filter((k) => filledSection(scene[k]))
.map((k) => `${k}:\n${scene[k].trim()}`)
.join("\n\n");
}
/**
* Open the AI generator for a scene.
* @param {HTMLElement} card
* @param {{ improve?: boolean }} [opts] improve=true refines the scene's current
* content; otherwise it's a fresh generation (no current content fed back, so
* retrying gives a different take).
*/
function generateScene(card, { improve = false } = {}) {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const idx = cards.indexOf(card);
const scene = sceneFromCard(card);
const globals = readGlobals();
// Always give the model the defined subjects so it reuses the <Subject N>
// labels and never invents appearance.
const subjects =
filledSection(scene.subject_definitions) ||
filledSection(globals.subject_definitions);
const opts = {
purpose: "scene.generate",
title: improve ? "Improve scene with AI" : "Generate scene with AI",
// Shown read-only in the modal AND sent as context, so you can see the
// subject_definitions the model will use.
reference: subjects
? { label: "subject_definitions (applied)", text: subjects }
: undefined,
resultHint: "(editable · canonical scene format)",
acceptLabel: "Use as scene",
// Only allow applying when the result parses into at least one known section.
validate: (text) => sceneHasContent(parseMinimaxBody(text).scenes[0]),
onApply: (text) => applySceneToCard(card, parseMinimaxBody(text).scenes[0] || {}),
};
if (improve) {
// Refine the scene's current content.
opts.context = contentContextText(scene);
opts.contextLabel = "current scene content to improve/complete";
} else if (idx > 0) {
// Fresh generation of scene 2+: offer to continue from the previous scene
// (its detailed description, or its summary as a fallback) for continuity.
const prev = sceneFromCard(cards[idx - 1]);
const prevContext =
filledSection(prev.detailed_description) || filledSection(prev.summary);
if (prevContext) {
opts.continuation = {
label: `Continue from the previous scene (Scene ${idx})`,
contextLabel:
"PREVIOUS scene (continuity reference ONLY — keep the same subjects, setting and state; do NOT reuse its wording, shots, events or actions — the new scene must show DIFFERENT action per the TASK)",
context: prevContext,
};
}
}
openTextAi(opts);
}
/** Open the AI generator for the default plain-text prompt; fills the body field. */
function generateDefault() {
openTextAi({
purpose: "library.default.generate",
title: "Generate prompt with AI",
context: el.bodyText.value,
contextLabel: "Current prompt to improve/complete",
resultHint: "(editable · plain text)",
acceptLabel: "Use as prompt",
onApply: (text) => {
el.bodyText.value = text;
el.bodyText.dispatchEvent(new Event("input", { bubbles: true }));
el.bodyText.focus();
},
});
}
/**
* Assemble the whole-prompt context for an AI review: the shared
* subject_definitions plus, per scene, its summary and detailed_description (the
* "essentials" for a cross-scene consistency pass). A scene that overrides
* subject_definitions has that override noted so mismatches surface. Empty
* content is sent as "N/A" so the reviewer can flag it.
*/
function reviewContextText() {
const globals = readGlobals();
const scenes = readScenes();
const parts = [
`subject_definitions:\n${filledSection(globals.subject_definitions) || "N/A"}`,
];
scenes.forEach((s, i) => {
const block = [`===== SCENE ${i + 1} =====`];
const override = filledSection(s.subject_definitions);
if (override) block.push(`subject_definitions (scene override):\n${override}`);
block.push(`summary:\n${filledSection(s.summary) || "N/A"}`);
block.push(`detailed_description:\n${filledSection(s.detailed_description) || "N/A"}`);
parts.push(block.join("\n\n"));
});
return parts.join("\n\n");
}
/** Open the whole-prompt reviewer (MiniMax only). Advisory report — nothing is applied. */
function reviewPrompt() {
openReviewAi({
purpose: "library.h3.review",
title: "Review prompt with AI",
contextLabel:
"Prompt under review (read-only — subject_definitions + each scene's summary & detailed_description)",
context: reviewContextText(),
});
}
/**
* Assemble the context for a single-scene review: the globals plus the current
* scene and its immediate neighbours (summary + detailed_description each). The
* CURRENT scene is marked explicitly so the reviewer/rewriter target only it.
*/
function sceneReviewContextText(cards, idx) {
const globals = readGlobals();
const cur = sceneFromCard(cards[idx]);
const subj =
filledSection(cur.subject_definitions) ||
filledSection(globals.subject_definitions);
const essentials = (s) =>
`summary:\n${filledSection(s.summary) || "N/A"}\n\n` +
`detailed_description:\n${filledSection(s.detailed_description) || "N/A"}`;
const parts = [`subject_definitions:\n${subj || "N/A"}`];
if (idx > 0) {
parts.push(
`===== PREVIOUS SCENE (Scene ${idx}) — context only =====\n\n${essentials(sceneFromCard(cards[idx - 1]))}`
);
}
parts.push(
`===== CURRENT SCENE (Scene ${idx + 1}) — the one under review =====\n\n${essentials(cur)}`
);
if (idx < cards.length - 1) {
parts.push(
`===== NEXT SCENE (Scene ${idx + 2}) — context only =====\n\n${essentials(sceneFromCard(cards[idx + 1]))}`
);
}
return parts.join("\n\n");
}
/**
* Open the single-scene reviewer for a card. Advisory report, plus "Apply
* suggestions" which rewrites the scene's summary + detailed_description for the
* user to confirm before it is applied to the card (audio/overrides untouched).
*/
function reviewScene(card) {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const idx = cards.indexOf(card);
if (idx < 0) return;
const n = idx + 1;
openReviewAi({
purpose: "library.h3.scene-review",
title: `Review scene ${n} with AI`,
contextLabel: `Scene ${n} + neighbours (read-only)`,
context: sceneReviewContextText(cards, idx),
rewrite: {
purpose: "scene.generate",
instruction:
`Rewrite ONLY the CURRENT scene (Scene ${n}), applying the review notes above. Keep the same <Subject N>/<Picture N> labels, subjects, setting, wardrobe and continuity with the previous and next scenes; introduce no new labels and no contradictions. Output ONLY these two sections in canonical format and nothing else:\n\nsummary:\n<text>\n\ndetailed_description:\n<text>`,
acceptLabel: `Accept into scene ${n}`,
validate: (text) => {
const s = parseMinimaxBody(text).scenes[0] || {};
return !!(filledSection(s.summary) || filledSection(s.detailed_description));
},
onApply: (text) => {
const s = parseMinimaxBody(text).scenes[0] || {};
applySceneToCard(card, {
summary: s.summary ?? "",
detailed_description: s.detailed_description ?? "",
});
toast(`Scene ${n} updated — review and save.`);
},
},
});
}
/**
* Fill a scene card from another scene (only non-empty sections overwrite).
* @param {HTMLElement} card
* @param {object} scene
* @param {{ trustPrefix?: boolean }} [opts] `trustPrefix` takes the summary's
* task-type prefix from `scene` when it has one — true for a paste (the user
* copied that prefix), false for AI output (the task type is not the model's
* call).
*/
function applySceneToCard(card, scene, { trustPrefix = false } = {}) {
let overrideSet = false;
for (const ta of card.querySelectorAll(".scene-section")) {
const key = ta.dataset.section;
const val = (scene[key] ?? "").trim();
if (val === "") continue; // don't wipe existing fields with blanks
if (key === "summary") {
// The task type is the user's choice: the card's own checkboxes win unless
// the source is trusted and carries a prefix of its own.
const source = parsePrefix(scene[key]);
const own = parsePrefix(ta.value).types;
const types = trustPrefix && source.types.length ? source.types : own;
ta.value = setPrefix(source.rest, types);
} else {
ta.value = scene[key];
}
ta.dispatchEvent(new Event("input", { bubbles: true })); // highlight+grow+dirty
if (GLOBAL_SECTIONS.includes(key)) overrideSet = true;
}
if (overrideSet) {
const group = card.querySelector(".scene-overrides");
if (group) setOverridesShown(group, true);
}
setCollapsed(card, false); // make sure the applied result is visible
}
/** Enable/disable every "Generate" button (scenes + default body) with LLM state. */
function updateGenButtons() {
const online = isLlmOnline();
for (const b of el.editor.querySelectorAll(".scene-generate")) {
b.disabled = !online;
b.title = online
? b.dataset.genTitle || "Generate with AI"
: "AI not connected — configure it in AI settings";
}
}
function removeScene(card) {
const cards = [...el.scenes.querySelectorAll(".scene-card")];
const idx = cards.indexOf(card);
if (idx < 0) return;
if (!window.confirm(`Remove scene ${idx + 1}? This can't be undone.`)) return;
const collapsed = readCollapsed();
const scenes = readScenes();
scenes.splice(idx, 1);
collapsed.splice(idx, 1);
if (scenes.length === 0) {
scenes.push(emptyScene()); // always keep one
collapsed.push(false);
}
renderScenes(scenes, collapsed);
markDirty();
}
/** Read a scene from its card's textareas. */
function sceneFromCard(card) {
const scene = emptyScene();
for (const ta of card.querySelectorAll(".scene-section")) {
scene[ta.dataset.section] = ta.value;
}
return scene;
}
/** Show the exact copied result of a scene (with global fallback and N/A). */
function previewScene(card) {
const n = [...el.scenes.querySelectorAll(".scene-card")].indexOf(card) + 1;
const text = sceneToText(sceneFromCard(card), readGlobals());
openModal({ title: `Scene ${n} preview`, text, copyText: text });
}
/**
* The whole MiniMax prompt as copyable text: every scene in canonical
* "section:\n<value>" format (global fallback + "N/A" for blanks), each under a
* "===== Scene N =====" header, in editor order.
*/
function minimaxPreviewText() {
const globals = readGlobals();
return [...el.scenes.querySelectorAll(".scene-card")]
.map(
(card, i) =>
`===== Scene ${i + 1} =====\n\n${sceneToText(sceneFromCard(card), globals)}`
)
.join("\n\n\n");
}
/**
* Preview (and copy) the whole prompt as it stands in the editor — every scene
* for MiniMax, or the plain body for a default prompt. Reads the live editor, so
* it reflects unsaved edits.
*/
function previewPrompt() {
const text =
editorType === MINIMAX_TYPE ? minimaxPreviewText() : el.bodyText.value;
const title = el.title.value.trim() || (current && current.title) || "Prompt";
openModal({ title: `${title} — preview`, text, copyText: text });
}
async function copyScene(card) {
const scene = sceneFromCard(card);
try {
await navigator.clipboard.writeText(sceneToText(scene, readGlobals()));
toast("Scene copied.");
} catch {
toast("Clipboard blocked by the browser.", "warn");
}
}
/**
* Fill this scene from the clipboard. The clipboard may hold a whole scene or
* just a few `section:` blocks (in any spelling parseMinimaxBody accepts, so
* text copied out of the model's UI or hand-written works too): each section
* found lands in its own field and the rest of the scene is left untouched.
*/
async function pasteScene(card) {
let text = "";
try {
text = await navigator.clipboard.readText();
} catch {
toast("Clipboard blocked by the browser.", "warn");
return;
}
const parsedScenes = parseMinimaxBody(text).scenes;
const parsed = parsedScenes[0] || {};
if (!sceneHasContent(parsed)) {
toast("No scene sections found in the clipboard.", "warn");
return;
}
// Keep only the sections that actually carry something new. "Copy" writes the
// RESOLVED sections (the global fallback already applied), so a pasted value
// identical to the prompt-level global is not an override.
const globals = readGlobals();
const scene = {};
for (const key of SECTION_ORDER) {
const value = filledSection(parsed[key]);
if (!value) continue;
if (GLOBAL_SECTIONS.includes(key) && value === filledSection(globals[key])) continue;
scene[key] = parsed[key];
}
const keys = Object.keys(scene);
if (keys.length === 0) {
toast("The clipboard only repeats the global sections — nothing to paste.");
return;
}
// Never drop written content silently: confirm when the paste replaces some.
// For the summary only the text past the task-type prefix counts as written.
const existing = sceneFromCard(card);
const replaced = keys.filter((key) =>
isSectionFilled(key === "summary" ? parsePrefix(existing[key]).rest : existing[key])
);
if (replaced.length > 0) {
const msg =
`Replace ${replaced.length} section${replaced.length === 1 ? "" : "s"} ` +
`already written in this scene?\n\n${replaced.join(", ")}`;
if (!window.confirm(msg)) return;
}
applySceneToCard(card, scene, { trustPrefix: true });
const n = [...el.scenes.querySelectorAll(".scene-card")].indexOf(card) + 1;
const extra =
parsedScenes.length > 1
? ` (first of ${parsedScenes.length} scenes in the clipboard)`
: "";
toast(
`Pasted ${keys.length} section${keys.length === 1 ? "" : "s"} into scene ${n}${extra}.`
);
}
// ---------------------------------------------------------------------------
// Prompt actions
// ---------------------------------------------------------------------------
async function save() {
if (!current) return;
const title = el.title.value;
if (!title.trim()) {
toast("Give the prompt a title.", "warn");
el.title.focus();
return;
}
const meta = readMeta();
const type = editorType;
// Build the per-type payload. For MiniMax, empty content sections are
// persisted as "N/A"; global-capable sections stay raw so the fallback works.
let payload;
let scenes;
let collapsed;
if (type === MINIMAX_TYPE) {
collapsed = readCollapsed();
scenes = readScenes().map(normalizeScene);
payload = { title, type, meta, globals: readGlobals(), scenes, body: "" };
} else {
payload = { title, type, meta, body: el.bodyText.value, globals: emptyGlobals(), scenes: [] };
}
try {
const wasNew = isNew;
await adapter.save(current, payload);
isNew = false;
if (wasNew) state.library.entries.push(current);
state.library.entries.sort((a, b) =>
a.title.localeCompare(b.title, undefined, { numeric: true })
);
state.library.selectedName = current.name;
applyLibraryFilters();
if (type === MINIMAX_TYPE) renderScenes(scenes, collapsed); // reflect "N/A" fills
setBaseline();
setDirty(false);
updateMeta();
renderList();
updateCounts();
toast("Prompt saved.");
} catch (err) {
toast("Could not save: " + err.message, "error");
}
}
async function remove() {
if (!current) return;
if (isNew) {
clearEditor();
return;
}
if (
!window.confirm(`Delete "${current.title}"? This removes the file from disk.`)
) {
return;
}
try {
await adapter.remove(current);
const idx = state.library.entries.indexOf(current);
if (idx >= 0) state.library.entries.splice(idx, 1);
applyLibraryFilters();
clearEditor();
renderList();
updateCounts();
toast("Prompt deleted.");
} catch (err) {
toast("Could not delete: " + err.message, "error");
}
}
// ---------------------------------------------------------------------------
// Opening the library folder
// ---------------------------------------------------------------------------
async function openLibrary(handle) {
if (!maybeDiscard()) return;
const entries = await adapter.listFolder(handle);
state.library.entries = entries;
state.library.folderName = handle.name;
state.library.selectedName = null;
state.library.search = el.search.value = "";
current = null;
isNew = false;
el.folderName.textContent = handle.name;
el.newBtn.disabled = false;
applyLibraryFilters();
clearEditor();
renderList();
updateCounts();
await idbSet("libraryFolder", handle).catch(() => {});
}
async function openPicker() {
try {
const handle = await window.showDirectoryPicker({ mode: "readwrite" });
el.reopenBtn.hidden = true;
await openLibrary(handle);
} catch (err) {
if (err && err.name !== "AbortError")
toast("Could not open library: " + err.message, "error");
}
}
async function restore() {
const handle = await idbGet("libraryFolder").catch(() => null);
if (!handle) return;
el.reopenBtn.hidden = false;
el.reopenBtn.textContent = `Reopen "${handle.name}"`;
el.reopenBtn.addEventListener("click", async () => {
let perm = await handle.queryPermission({ mode: "readwrite" });
if (perm !== "granted")
perm = await handle.requestPermission({ mode: "readwrite" });
if (perm === "granted") {
el.reopenBtn.hidden = true;
await openLibrary(handle);
} else {
toast("Permission denied.", "error");
}
});
}
exports.initLibrary = initLibrary;
exports.focusSearch = focusSearch;
exports.isDirty = isDirty;
exports.onShow = onShow;
});
register("js/storage/prompt-library-adapter.js", function (module, exports, require) {
const { parsePrompt, serializePrompt } = require("js/scenes.js");
/**
* Disk access for the standalone Prompt Library (spec §1.2, §3.3).
*
* A separate folder from the images folder. One `.txt` per prompt; the filename
* is the title. Each file holds one or more SCENES, each with the four fixed
* sections (see scenes.js). Like the image adapter, this is the only place the
* library touches the File System Access API.
*
* @typedef {Object} PromptEntry
* @property {string} name "cookie-sketch.txt"
* @property {string} title "cookie-sketch"
* @property {number} mtime
* @property {string} type prompt type ("default" | "minimax-h3-ref2va")
* @property {{rating:number, loras:string[]}} meta prompt-level metadata (shown, never copied)
* @property {string} body full prompt text (used by the "default" type)
* @property {Record<string,string>} globals global sections shared by scenes (minimax)
* @property {import("../scenes.js").Scene[]} scenes (minimax)
* @property {FileSystemFileHandle|null} _handle
*/
/** Make a filesystem-safe title (no separators, no leading dots). */
function sanitizeTitle(t) {
return t
.replace(/[\/\\:*?"<>|\x00-\x1F]/g, "")
.replace(/^\.+/, "")
.replace(/\s+/g, " ")
.trim();
}
async function atomicWrite(handle, text) {
const w = await handle.createWritable();
try {
await w.write(text);
await w.close(); // atomic swap (spec §7.1)
} catch (err) {
await w.abort();
throw err;
}
}
function makeEntry(name, handle, mtime, parsed) {
return {
name,
title: name.replace(/\.txt$/i, ""),
mtime,
type: parsed.type,
meta: parsed.meta,
body: parsed.body,
globals: parsed.globals,
scenes: parsed.scenes,
_handle: handle,
};
}
class PromptLibraryAdapter {
constructor() {
/** @type {FileSystemDirectoryHandle|null} */
this.dirHandle = null;
}
/**
* @param {FileSystemDirectoryHandle} handle
* @returns {Promise<PromptEntry[]>}
*/
async listFolder(handle) {
this.dirHandle = handle;
const entries = [];
for await (const [name, h] of handle.entries()) {
if (h.kind !== "file") continue;
if (name.startsWith(".")) continue; // skip dotfiles
if (!name.toLowerCase().endsWith(".txt")) continue;
const f = await h.getFile();
const parsed = parsePrompt(await f.text());
entries.push(makeEntry(name, h, f.lastModified, parsed));
}
entries.sort((a, b) =>
a.title.localeCompare(b.title, undefined, { numeric: true })
);
return entries;
}
/**
* Persist a prompt (all its scenes). Handles first-save (create) and rename
* (write new, delete old) — both user-initiated via the Save button.
* @param {PromptEntry} entry mutated in place on success
* @param {{ title: string, type: string, meta: {rating:number, loras:string[]}, body?: string, globals?: Record<string,string>, scenes?: import("../scenes.js").Scene[] }} fields
*/
async save(entry, { title, type, meta, body, globals, scenes }) {
const clean = sanitizeTitle(title);
if (!clean) throw new Error("Title cannot be empty.");
const content = serializePrompt({ type, meta, body, globals, scenes });
const newName = clean + ".txt";
if (entry._handle && newName === entry.name) {
await atomicWrite(entry._handle, content);
} else {
await this.#assertNoCollision(newName);
const nh = await this.dirHandle.getFileHandle(newName, { create: true });
await atomicWrite(nh, content);
if (entry._handle && entry.name && entry.name !== newName) {
try {
await this.dirHandle.removeEntry(entry.name); // complete the rename
} catch {
/* leaving the old file behind is safe; surface nothing */
}
}
entry._handle = nh;
}
const f = await entry._handle.getFile();
entry.name = newName;
entry.title = clean;
entry.mtime = f.lastModified;
entry.type = type;
entry.meta = meta;
entry.body = body ?? "";
entry.globals = globals || {};
entry.scenes = scenes || [];
return entry;
}
/** @param {PromptEntry} entry */
async remove(entry) {
if (!entry._handle || !entry.name) return;
await this.dirHandle.removeEntry(entry.name);
}
async #assertNoCollision(newName) {
let exists = false;
try {
await this.dirHandle.getFileHandle(newName);
exists = true;
} catch (e) {
if (e && e.name !== "NotFoundError") throw e;
}
if (exists) {
throw new Error(
`A prompt named "${newName.replace(/\.txt$/i, "")}" already exists.`
);
}
}
}
exports.PromptLibraryAdapter = PromptLibraryAdapter;
});
register("js/help-example.js", function (module, exports, require) {
/**
* Reference example shown by the "Help" button in the Prompt Library.
* Read-only documentation — rendered via textContent so the angle-bracket
* tokens (<Subject 1>, <d>…</d>, etc.) are shown literally, not parsed as HTML.
*/
const EXAMPLE_PROMPT = `subject_definitions:
<Subject 1> is the coffee-shop environment in <Picture 1>, featuring an exposed brick wall, an orange tufted sofa with patterned pillows, a neon sign, and a wooden coffee table.
<Subject 2> is the fluffy white Samoyed in <Picture 2>, <Picture 3>, and <Picture 4>, with thick white fur, pointed ears, a dark nose, and a curved tail.
<Subject 3> is the young blonde woman in <Video 1>, with long blonde hair and a light-pink button-down shirt with rolled-up sleeves.
<Subject 4> is the young man in <Video 2>, with short wavy brown hair and a dark-grey hoodie with drawstrings.
<Audio 1> is the voice-timbre reference for <Subject 3> (S1), containing a spoken English vocal layer.
summary:
[reference generation + audio reference] The target video shows <Subject 3> eating a cookie in <Subject 1>. <Subject 4> enters with <Subject 2>, which lunges toward the cookie. The three-shot exchange uses <Audio 1> as the voice-timbre reference for <Subject 3> and ends with a canned audience laugh.
retention_analysis:
<Subject 1> (appears in [Shot 1], [Shot 2], [Shot 3]): fully_preserved - the exposed brick wall, orange tufted sofa, patterned pillows, neon sign, and wooden coffee table are retained.
<Subject 2> (appears in [Shot 1], [Shot 2]): fully_preserved - the Samoyed's thick white fur, pointed ears, dark nose, and curved tail are retained.
<Subject 3> (appears in [Shot 1], [Shot 2], [Shot 3]): fully_preserved - the blonde woman's identity, long hair, and light-pink shirt are retained.
<Subject 4> (appears in [Shot 1], [Shot 2]): fully_preserved - the young man's short wavy brown hair and dark-grey hoodie are retained.
<Audio 1>: reference - its vocal timbre guides the dialogue delivery of <Subject 3> without copying the original signal.
detailed_description:
The target video uses a realistic multi-camera sitcom style with warm indoor lighting.
[Shot 1] A medium shot establishes <Subject 1>, the coffee shop with its exposed brick wall, orange tufted sofa, patterned pillows, neon sign, and wooden coffee table. <Subject 3> (S1), the young woman with long blonde hair and a light-pink button-down shirt with rolled-up sleeves, sits on the sofa holding a chocolate-chip cookie. From the left, <Subject 4>, the young man with short wavy brown hair and a dark-grey hoodie with drawstrings, enters holding the leash of <Subject 2>, the thick-furred white Samoyed with pointed ears, a dark nose, and a curved tail. The dog lunges toward the cookie and pulls the leash taut. <Subject 3> (S1) jerks her hand back and, using the clear youthful voice timbre referenced from <Audio 1>, exclaims with light annoyance, <d>[English] Hey! Watch your dog!</d> She closes her lips and guards the cookie while <Subject 4> pulls the dog back.
[Shot 2] At 00:03.000, the shot cuts to a close-up of <Subject 4> (S2), the young man in the dark-grey hoodie from Shot 1, sitting beside <Subject 3> on the sofa and holding <Subject 2> securely in his arms. <Subject 4> (S2) says in a casual young male voice with a playful tone and an easy conversational pace, <d>[English] He just likes cookies more than me.</d> He closes his mouth into an apologetic smile and strokes the dog's thick white fur.
[Shot 3] At 00:05.000, the shot cuts to a close-up of <Subject 3> (S1), the blonde woman in the light-pink shirt from Shot 1. Her annoyance softens as she looks toward the Samoyed. <Subject 3> (S1) replies in the same clear youthful voice referenced from <Audio 1> with an amused cadence, <d>[English] Well, he has good taste at least.</d> She smiles and raises the cookie in a small toast-like gesture. A classic canned audience laugh begins immediately after the line and continues through the final frame.
overall_soundscape:
Soft indoor coffee-shop room tone continues throughout the scene.
non_diegetic_music:
N/A`;
exports.EXAMPLE_PROMPT = EXAMPLE_PROMPT;
});
register("js/prompt-guide.js", function (module, exports, require) {
const { SECTION_HELP } = require("js/section-help.js");
const { EXAMPLE_PROMPT } = require("js/help-example.js");
const { escapeHtml } = require("js/highlight.js");
/**
* The full Full-Reference Mode Rewrite Output Format Guide, as a trusted HTML
* fragment for the "Prompt guide" modal. Sections 2, 3, and 5 reuse the same
* per-section help fragments; the complete example (section 7) is injected from
* EXAMPLE_PROMPT (escaped). Everything else is authored here with angle-bracket
* tokens escaped so they render literally.
*/
const intro = `
<p><strong>Full-Reference Mode Rewrite Output Format Guide.</strong> This explains
how rewrite outputs are organized and written in full-reference mode.</p>
<p>Write all six rewrite sections in English. Preserve the original language only
for dialogue and lyrics inside <code><d></code> and for text visibly present
in the scene.</p>
<p><strong>Description detail:</strong> Make <code>detailed_description</code> as
detailed and explicit as possible. For each shot, clearly establish the current
composition, subject appearance and position, environment and lighting, actions
and state changes, camera movement, current sound, and the points where
referenced content actually appears or takes effect. Avoid reducing the
description to a plot summary or a list of reference relationships.</p>
<blockquote>The basic formats for shots, camera movement, speakers, dialogue, and
ordinary sound are shared with the Video Prompt Writing Guide
(T2VA / I2VA / FL2VA / L2VA). This guide focuses on the reference labels,
analysis sections, and format differences specific to full-reference mode.</blockquote>
`;
const section1 = `
<table>
<thead><tr><th>Section</th><th>Purpose</th></tr></thead>
<tbody>
<tr><td><code>subject_definitions</code></td><td>Defines referenced content and its reference labels</td></tr>
<tr><td><code>summary</code></td><td>Summarizes the task type, target video, and main reference relationships</td></tr>
<tr><td><code>retention_analysis</code></td><td>Describes how referenced content is preserved, transferred, or reused</td></tr>
<tr><td><code>detailed_description</code></td><td>Describes visuals, actions, shots, sound, and dialogue in playback order</td></tr>
<tr><td><code>overall_soundscape</code></td><td>Summarizes ambience and physical sounds</td></tr>
<tr><td><code>non_diegetic_music</code></td><td>Describes background music audible only to the audience</td></tr>
</tbody>
</table>
`;
const section6 = `
<p>The definitions of these two sound categories follow the Video Prompt Writing
Guide (T2VA / I2VA / FL2VA / L2VA).</p>
<p><code>overall_soundscape</code> summarizes ambience and physical sounds across
the full video. Dialogue, singing, and sound events synchronized to a particular
shot remain in <code>detailed_description</code>:</p>
<pre class="code">overall_soundscape: Quiet indoor room tone and a low ventilation hum continue throughout the video.</pre>
<p><code>non_diegetic_music</code> describes background music that the characters
cannot hear and that is audible only to the audience. When music is present, state
its instrumentation, tempo, and dynamic development:</p>
<pre class="code">non_diegetic_music: A restrained solo-piano score at a slow tempo, with sustained low cello underneath and no swell.</pre>
<p>When reference audio is used, state its copy or reference relationship only in
the section that matches the audible layer: ambience and sound effects belong in
<code>overall_soundscape</code>, while audience-only score belongs in
<code>non_diegetic_music</code>. If the same audio provides both kinds of content,
describe the corresponding relationship in each section:</p>
<pre class="code">overall_soundscape: The copied ambience layer from <Audio 1> continues throughout the target video.
non_diegetic_music: <Audio 2> is directly reused as the complete audience-only score.</pre>
<p>Write complete dialogue and lyrics only inside <code><d></code> in
<code>detailed_description</code>; do not repeat them in these two sections.</p>
`;
const section7 = `
<details>
<summary>Show the complete example</summary>
<pre class="code">${escapeHtml(EXAMPLE_PROMPT)}</pre>
</details>
`;
const PROMPT_GUIDE_HTML = [
intro,
"<h3>1. Overall structure</h3>",
section1,
"<h3>2. Reference labels and definitions (subject_definitions)</h3>",
SECTION_HELP.subject_definitions,
"<h3>3. summary</h3>",
SECTION_HELP.summary,
"<h3>4. retention_analysis</h3>",
SECTION_HELP.retention_analysis,
"<h3>5. detailed_description</h3>",
SECTION_HELP.detailed_description,
"<h3>6. overall_soundscape and non_diegetic_music</h3>",
section6,
"<h3>7. Complete example</h3>",
section7,
].join("\n");
exports.PROMPT_GUIDE_HTML = PROMPT_GUIDE_HTML;
});
register("js/section-help.js", function (module, exports, require) {
/**
* Per-section guidance shown by the "?" button next to a section label.
* Values are trusted, hand-authored HTML fragments (no user input). Literal
* angle-bracket tokens such as <Subject N> / <Audio 1> / <d>…</d> are escaped
* as entities so they render as text rather than being parsed as HTML tags.
*/
const summary = `
<p>This section uses one short English paragraph to summarize the target video
and its reference relationships. It begins with a square-bracketed task-type
prefix:</p>
<pre class="code">[reference generation] ...
[video editing + reference generation + audio reuse] ...</pre>
<p>Choose task types according to the actual role each reference asset plays in
the target video:</p>
<table>
<thead>
<tr><th>Task type</th><th>When to use it</th></tr>
</thead>
<tbody>
<tr>
<td><code>keyframe completion</code></td>
<td>An image serves as the target video's first frame, keyframe, last
frame, edited keyframe, or another concrete frame anchor</td>
</tr>
<tr>
<td><code>reference generation</code></td>
<td>An image, video, or audio asset provides generation guidance for a
character, scene, style, action, camera movement, storyboard, and so on,
without serving as a concrete frame or as the source video being edited
or continued</td>
</tr>
<tr>
<td><code>video editing</code></td>
<td>An existing source video is directly modified; editing an image or
generating between still keyframes does not belong to this type</td>
</tr>
<tr>
<td><code>video continuation</code></td>
<td>New content continues, extends, resumes, or transitions from an
existing source video</td>
</tr>
<tr>
<td><code>audio reuse</code></td>
<td>The same audio signal is reused in full or in part</td>
</tr>
<tr>
<td><code>audio reference</code></td>
<td>The audio signal is not copied directly; only its music style, timbre,
dialogue or lyric content, sound-effect texture, beat, or continuity is
referenced</td>
</tr>
</tbody>
</table>
<p>When a task satisfies multiple relationships, combine the task types with
<code> + </code> and do not repeat a type. For example, continuing from a source
video while using an image as the last frame is written as
<code>[video continuation + keyframe completion]</code>. Editing a source video
while retaining its original audio may be written as
<code>[video editing + audio reuse]</code>.</p>
<p>The mere presence of video or audio does not automatically create a
corresponding task type. If a reference video provides only camera movement,
cuts, or rhythm, it normally belongs to <code>reference generation</code>. Use
<code>video editing</code> or <code>video continuation</code> only when that
video is directly edited or continued.</p>
<p>When editing a source video, use <code>audio reuse</code> as well if its
original audio remains audible. When continuing a source video without directly
copying the audio signal, use <code>audio reference</code> if the new audio only
continues the original track's audible characteristics.</p>
<p>The summary uses the previously defined <code><Subject N></code>,
<code><Picture N></code>, <code><Video N></code>, and
<code><Audio N></code> labels to describe the main subjects, shot flow,
and roles of the reference assets. Do not introduce new reference labels in this
section.</p>
<p>For video-editing tasks, begin the summary after the task-type prefix
with:</p>
<pre class="code">The target video is an edited version of <Video 1>.</pre>
`;
const detailed_description = `
<p>This is the main body of a full-reference rewrite. It describes visuals,
actions, sound, and dialogue shot by shot in target-video playback order and
inserts reference labels where they apply.</p>
<h4>Basic format</h4>
<p>The basic format follows the Video Prompt Writing Guide
(T2VA / I2VA / FL2VA / L2VA):</p>
<ul>
<li>Write the body in English. Preserve the original language of dialogue,
lyrics, and visible text.</li>
<li><code>[Shot 1]</code> marks the opening shot and has no timestamp. Later
shots use <code>[Shot N] At MM:SS.mmm, ...</code> to mark cut times.</li>
<li>Write camera movement as natural English within the current shot,
including movement type, amplitude, and speed when they need to be
expressed.</li>
<li>Give vocal sources stable <code>(S1)</code>, <code>(S2)</code>, and
subsequent IDs. Write dialogue and lyrics as
<code><d>[Language] ...</d></code>.</li>
<li>Use <code><scenetrans></code>, <code><cutoff></code>, and the
corresponding continuity descriptions for dialogue crossing a cut, speech
truncated by the video ending, and continuous audio across shots.</li>
</ul>
<p>For complete rules and examples covering camera vocabulary, group speech,
voice-over, dialogue across cuts, and visible text, see the Video Prompt Writing
Guide (T2VA / I2VA / FL2VA / L2VA).</p>
<h4>Full-reference mode differences</h4>
<table>
<thead>
<tr><th>Dimension</th><th>T2VA</th><th>Full-reference mode</th></tr>
</thead>
<tbody>
<tr>
<td>Main field</td>
<td><code>integrated_multimodal_description</code></td>
<td><code>detailed_description</code></td>
</tr>
<tr>
<td>Style opening</td>
<td>Written after <code>[Shot 1]</code></td>
<td>Established in one or two English sentences before
<code>[Shot 1]</code></td>
</tr>
<tr>
<td>Reference information</td>
<td>Does not use full-reference labels</td>
<td>Inserts <code><Subject N></code>, <code><Picture N></code>,
<code><Video N></code>, and <code><Audio N></code> at their
first appearance and where their roles apply</td>
</tr>
<tr>
<td>Audio relationships</td>
<td>Describes the target video's own sound</td>
<td>Cites <code><Audio N></code> in the corresponding shot or audio
phase and states whether the signal is copied or referenced</td>
</tr>
</tbody>
</table>
<p>Opening example:</p>
<pre class="code">The target video is in a cinematic, literary music-video style with soft lighting and a slightly desaturated color palette.
[Shot 1] The scene opens in a crowded urban street...
[Shot 2] At 00:09.000, the shot cuts to an extreme close-up...</pre>
<p>For generation tasks, <code>detailed_description</code> is normally 350-500
English words. Dialogue-dense content prioritizes fitting the complete spoken
timeline rather than mechanically reaching a word count. Video-editing
descriptions scale with the complexity of the source video and do not have to
follow the generation-task range. A single shot does not automatically justify a
shorter description; distribute detail across multiple shots according to their
information load.</p>
<h4>Using reference labels in shots</h4>
<p>At the first clear appearance of an important <code><Subject N></code>,
describe its referenced characteristics, position in the frame, and current
action within what is actually visible in the shot. Continue using the same
label in later shots without redefining what the label represents.</p>
<p>Use natural phrasing for concrete frame anchors:</p>
<pre class="code">the shot begins from <Picture 1>
the shot's keyframe corresponds to <Picture 2>
the shot ends on <Picture 3></pre>
<p>When editing or continuing an original video, cite <code><Video N></code>
naturally where its source state, structure, or continuation relationship
applies. Cite <code><Audio N></code> in the shot or semantic phase where the
audio relationship is active.</p>
<h4>Speakers, audio sources, and dialogue</h4>
<p>The basic speaker-ID and <code><d></code> formats follow T2VA. When a
referenced subject physically speaks, retain both the visual reference label and
the speaker ID:</p>
<pre class="code"><Subject 2> (S1) turns toward the woman and says, <d>[English] Last summer, I went to my grandfather's house. He talked about you.</d></pre>
<p><code><Subject N></code> identifies the referenced subject, while
<code>(Sx)</code> identifies the actual speaker. When the subject speaks, write
<code><Subject N> (Sx)</code>. If the same subject speaks off-screen, keep
the same form and mark it as <code>off-screen</code>. When the speaker does not
correspond to a defined subject, use a stable voice description followed by
<code>(Sx)</code>.</p>
<p>When verbal content is only a cue within a directly reused BGM or complete
soundtrack, and no person, character, narrator, or other independent vocal source
physically produces it, use <code><Audio N></code> as the audible source and
do not invent an additional <code>(Sx)</code>. If a concrete person, character,
narrator, or other independent vocal source produces the voice, assign and reuse
<code>(Sx)</code> for that source:</p>
<pre class="code">When <Audio 1> reaches the phrase <d>[English] I'm lonely lonely lonely lonely lonely I'm lonely</d>, <Subject 1> performs the corresponding hand gesture without becoming a separate speaker source.</pre>
<p>When dialogue, narration, or lyrics from reference audio are directly reused,
or when the input prompt explicitly requests their reperformance, preserve the
exact source words and original language inside <code><d></code>. Write
<code>[unclear]</code> for unintelligible spans instead of guessing or
paraphrasing them. Standardize punctuation to the basic written marks needed to
express the sentence, such as <code>,</code>, <code>.</code>, <code>?</code>, and
<code>!</code>; remove repeated tildes, emoji, bullets, and repeated or
decorative punctuation. End complete statements, questions, and exclamations with
<code>.</code>, <code>?</code>, or <code>!</code> respectively before
<code></d></code>.</p>
<p>When only timbre, rhythm, emotion, or delivery is referenced, do not carry the
original dialogue from the reference audio into the target video.</p>
<p>Assign <code>(Sx)</code> once according to the order of actual vocal events in
the target video. Reuse the corresponding ID at every actual vocal event in
<code>detailed_description</code>; an <code><Audio N></code> definition bound
to a target speaker in <code>subject_definitions</code> also reuses the same
<code>(Sx)</code> but never assigns a new one independently. Do not write
<code>(Sx)</code> in <code>retention_analysis</code>. Verbal cues that exist only
within a directly reused BGM or complete soundtrack use
<code><Audio N></code>; voices physically produced by a concrete person,
character, narrator, or other independent vocal source use <code>(Sx)</code>.</p>
`;
const overall_soundscape = `
<p>The definitions of the two sound categories follow the Video Prompt Writing
Guide (T2VA / I2VA / FL2VA / L2VA).</p>
<p><code>overall_soundscape</code> summarizes ambience and physical sounds across
the full video. Dialogue, singing, and sound events synchronized to a particular
shot remain in <code>detailed_description</code>:</p>
<pre class="code">overall_soundscape: Quiet indoor room tone and a low ventilation hum continue throughout the video.</pre>
<p>When reference audio is used, state its copy or reference relationship only in
the section that matches the audible layer: ambience and sound effects belong in
<code>overall_soundscape</code>, while audience-only score belongs in
<code>non_diegetic_music</code>. If the same audio provides both kinds of
content, describe the corresponding relationship in each section:</p>
<pre class="code">overall_soundscape: The copied ambience layer from <Audio 1> continues throughout the target video.
non_diegetic_music: <Audio 2> is directly reused as the complete audience-only score.</pre>
<p>Write complete dialogue and lyrics only inside <code><d></code> in
<code>detailed_description</code>; do not repeat them in this section.</p>
`;
const non_diegetic_music = `
<p>The definitions of the two sound categories follow the Video Prompt Writing
Guide (T2VA / I2VA / FL2VA / L2VA).</p>
<p><code>non_diegetic_music</code> describes background music that the characters
cannot hear and that is audible only to the audience. When music is present,
state its instrumentation, tempo, and dynamic development:</p>
<pre class="code">non_diegetic_music: A restrained solo-piano score at a slow tempo, with sustained low cello underneath and no swell.</pre>
<p>When reference audio is used, state its copy or reference relationship only in
the section that matches the audible layer: ambience and sound effects belong in
<code>overall_soundscape</code>, while audience-only score belongs in
<code>non_diegetic_music</code>. If the same audio provides both kinds of
content, describe the corresponding relationship in each section:</p>
<pre class="code">overall_soundscape: The copied ambience layer from <Audio 1> continues throughout the target video.
non_diegetic_music: <Audio 2> is directly reused as the complete audience-only score.</pre>
<p>Write complete dialogue and lyrics only inside <code><d></code> in
<code>detailed_description</code>; do not repeat them in this section.</p>
`;
const subject_definitions = `
<p>Full-reference rewrites use four types of labels to identify the source and
role of referenced content:</p>
<table>
<thead><tr><th>Label</th><th>Meaning</th></tr></thead>
<tbody>
<tr><td><code><Subject N></code></td><td>Visible content abstracted from reference assets that can be reused or modified in the target video</td></tr>
<tr><td><code><Picture N></code></td><td>A reference image used as a concrete target frame or shot-planning anchor</td></tr>
<tr><td><code><Video N></code></td><td>A reference video that provides an editing source, continuation starting point, or whole-video temporal structure</td></tr>
<tr><td><code><Audio N></code></td><td>An audio signal that is copied or referenced</td></tr>
</tbody>
</table>
<p class="note">Once a reference label is assigned to a piece of content, it keeps
the same meaning across <code>subject_definitions</code>, <code>summary</code>,
<code>retention_analysis</code>, <code>detailed_description</code>, and the audio
sections.</p>
<p><code>subject_definitions</code> defines each piece of referenced content that
must be tracked separately later, such as a person, an environment, a source
video's structure, or an audio track. Give each item its own line and explain
what its label denotes, its reference role, and the main features to follow; name
the corresponding source asset when its provenance needs to be made explicit. If
<code><Picture N></code> or <code><Video N></code> only identifies the
source of another referenced item and will not be analyzed or used separately
later, cite it inside that item's definition without adding a separate line.
<code>retention_analysis</code> records where each referenced item appears and
whether it is fully preserved, partially preserved, transferred, or reused.</p>
<h4>2.1 <Subject N></h4>
<p><code><Subject N></code> is used for reusable visible content, including:</p>
<ul>
<li>People, animals, or objects</li>
<li>Scenes, backgrounds, or environments</li>
<li>Clothing, props, interfaces, or visual effects</li>
<li>Styles, actions, expressions, or poses</li>
</ul>
<p>It represents a content unit that will actually be used in the target video,
rather than the source file itself. One subject may be defined by multiple
reference assets, and one reference asset may provide multiple subjects.</p>
<pre class="code"><Subject 1> is the young woman in <Picture 1>, with long dark hair, a blue cardigan, and a thin silver necklace.</pre>
<p>When the same subject comes from multiple assets, combine the sources and state
what each asset provides:</p>
<pre class="code"><Subject 1> is the woman whose appearance comes from <Picture 1> and whose walking motion comes from <Video 1>.</pre>
<h4>2.2 <Picture N></h4>
<p>Use a standalone <code><Picture N></code> when the reference image itself
serves as a shot's first frame, keyframe, last frame, edited keyframe, or
composition anchor:</p>
<pre class="code"><Picture 2> is the first frame of [Shot 1], showing a woman seated beside a café window.</pre>
<p>If an image is used only to define a character, scene, costume, or style, do
not create a standalone picture entry. Instead, cite the image source inside the
corresponding <code><Subject N></code> definition.</p>
<p>When an image acts as a storyboard or shot-planning reference, state which
shots it maps to and what planning information it provides:</p>
<pre class="code"><Picture 3> is a storyboard reference for [Shot 1] and [Shot 2], defining their viewpoint, subject placement, and shot order.</pre>
<h4>2.3 <Video N></h4>
<p><code><Video N></code> is reserved for whole-video relationships, such as:</p>
<ul>
<li>Editing an original video</li>
<li>Continuing from the end of an original video</li>
<li>Referencing the original video's camera movement, cuts, rhythm, or temporal structure</li>
</ul>
<pre class="code"><Video 1> is the source video for the target video edit.</pre>
<p>If a person, object, scene, action, or effect from a reference video is reused
as visible content, it still belongs under <code><Subject N></code>.
<code><Video N></code> identifies the asset or structural source and does not
replace subject labels.</p>
<h4>2.4 <Audio N></h4>
<p><code><Audio N></code> represents a standalone audio asset or an enabled
synchronized audio track from a reference video. Common uses include:</p>
<ul>
<li>Copying all or part of an audio signal</li>
<li>Referencing a background-music style</li>
<li>Referencing a speaker's voice timbre and delivery</li>
<li>Using dialogue, lyrics, or sound effects from the original audio</li>
<li>Referencing beat, rhythm, or audio continuity</li>
</ul>
<p>When an <code><Audio N></code> explicitly corresponds to a target speaker,
reuse that speaker's global ID in the definition: write
<code><Subject N> (Sx)</code> when the speaker maps to a defined subject, or
use a stable voice description followed by <code>(Sx)</code> otherwise. The ID
comes from the target video's global speaker order and is not independently
assigned or renumbered in the audio definition. See Section 5.4 for the
speaker-numbering rules:</p>
<pre class="code"><Audio 1> is the voice-timbre reference for <Subject 1> (S1).</pre>
<p>When one audio asset serves multiple roles, describe those roles in one natural
sentence rather than creating additional subsections.</p>
<h4>2.5 Visual and Audio Tracks from the Same Reference Video</h4>
<p><code><Video N></code> and <code><Audio N></code> are numbered
independently. Each index indicates only the label's order within its own
category and does not encode a pairing between the two categories. The same
reference video may therefore correspond to <code><Video 1></code> and
<code><Audio 2></code>; different indices do not prevent them from coming
from the same source asset.</p>
<p>An ordinary reference video does not create <code><Audio N></code> merely
because the file contains sound.</p>
<p>An <code><Audio N></code> definition primarily states the audio's role and
does not have to name the <code><Video N></code> it comes from. State the
shared source only when needed to remove provenance ambiguity, for example:</p>
<pre class="code"><Video 1> is the source video for the target video edit.
<Audio 2> is the synchronized audio track of <Video 1> and is reused in the target video.</pre>
`;
const retention_analysis = `
<p>This section describes how each piece of referenced content is preserved,
transferred, copied, or referenced in the target video. Use one line for each
reference label and preserve the meaning established in
<code>subject_definitions</code>.</p>
<h4>4.1 Visible content</h4>
<p><code><Subject N></code>, <code><Picture N></code>, and
<code><Video N></code> use the following relationship markers. These markers
are fixed English values in the output format:</p>
<table>
<thead><tr><th>Relationship marker</th><th>Meaning</th></tr></thead>
<tbody>
<tr><td><code>fully_preserved</code></td><td>The defined role of the referenced content is fully preserved</td></tr>
<tr><td><code>partially_preserved</code></td><td>The referenced content is still used, but some defined characteristics are changed or only partially retained</td></tr>
<tr><td><code>attribute_transfer</code></td><td>Referenced characteristics are transferred to a different identifiable target subject</td></tr>
<tr><td><code>weak_reference</code></td><td>Only broad similarity in style, category, composition, or atmosphere is retained</td></tr>
</tbody>
</table>
<p>Subject entry:</p>
<pre class="code"><Subject 1> (appears in [Shot 1], [Shot 3]): fully_preserved - ...</pre>
<p>Picture entry:</p>
<pre class="code"><Picture 2> ([Shot 1] first frame): fully_preserved - ...</pre>
<p>Video-structure entry:</p>
<pre class="code"><Video 1> (cut and pacing structure): weak_reference - ...</pre>
<h4>4.2 Audio</h4>
<p><code><Audio N></code> uses the following relationship markers:</p>
<table>
<thead><tr><th>Relationship marker</th><th>Meaning</th></tr></thead>
<tbody>
<tr><td><code>fully_copy</code></td><td>The complete source audio serves as the target video's complete final audio track</td></tr>
<tr><td><code>partially_copy</code></td><td>Only part of the timeline or selected audio layers are copied, or other sounds are added, removed, or replaced after copying</td></tr>
<tr><td><code>reference</code></td><td>The signal is not copied directly; only timbre, rhythm, music style, dialogue content, or sound texture is referenced</td></tr>
<tr><td><code>weak_reference</code></td><td>Only broad similarity in category or atmosphere is retained</td></tr>
</tbody>
</table>
<pre class="code"><Audio 1>: fully_copy - <Audio 1> is reused 1:1 as the target video's complete final audio track.</pre>
<pre class="code"><Audio 2>: reference - the target speaker follows <Audio 2>'s voice timbre and measured delivery without copying the original signal.</pre>
<p>Choose each relationship marker only within the reference role already defined
for that label in <code>subject_definitions</code>. Do not treat newly added
actions, backgrounds, or plot events in the target video as losses of reference
fidelity.</p>
`;
/** @type {Record<string, string>} section name -> HTML help fragment */
const SECTION_HELP = {
subject_definitions,
summary,
retention_analysis,
detailed_description,
overall_soundscape,
non_diegetic_music,
};
exports.SECTION_HELP = SECTION_HELP;
});
register("js/highlight.js", function (module, exports, require) {
/**
* Token highlighting for the prompt fields. Because a <textarea> cannot render
* styled spans, we mirror its text into a backdrop <div> where key tokens are
* wrapped in <mark>. Three token classes:
*
* hl-shot [Shot 1], [Shot 2] ... (a bracket starting with "Shot")
* hl-bracket other [ ... ] tokens (task-type prefix, [English], [unclear])
* hl-angle < ... > tokens (<Subject 1>, <Audio 1>, <d>, </d> ...)
*/
function escapeHtml(s) {
return String(s).replace(
/[&<>]/g,
(c) => ({ "&": "&", "<": "<", ">": ">" }[c])
);
}
function highlightHtml(raw) {
const re = /(<[^>\n]*>)|(\[[^\]\n]*\])/g;
let out = "";
let last = 0;
let m;
while ((m = re.exec(raw)) !== null) {
out += escapeHtml(raw.slice(last, m.index));
const tok = m[0];
let cls;
if (m[1]) cls = "hl-angle";
else cls = /^\[\s*Shot\b/i.test(tok) ? "hl-shot" : "hl-bracket";
out += `<mark class="${cls}">${escapeHtml(tok)}</mark>`;
last = re.lastIndex;
}
out += escapeHtml(raw.slice(last));
return out;
}
exports.escapeHtml = escapeHtml;
exports.highlightHtml = highlightHtml;
});
register("js/task-types.js", function (module, exports, require) {
/**
* Task types for the summary section's square-bracketed prefix
* (e.g. `[video editing + reference generation + audio reuse]`).
*
* The checkbox UI drives this prefix; the prefix lives inside the summary text,
* so nothing extra is persisted — on reload the checkboxes are re-derived from
* the leading `[...]` of the summary.
*/
const TASK_TYPES = [
"keyframe completion",
"reference generation",
"video editing",
"video continuation",
"audio reuse",
"audio reference",
];
const TASK_TYPE_HINTS = {
"keyframe completion":
"An image serves as the target video's first frame, keyframe, last frame, edited keyframe, or another concrete frame anchor",
"reference generation":
"An image, video, or audio asset provides generation guidance for a character, scene, style, action, camera movement, storyboard, and so on, without serving as a concrete frame or as the source video being edited or continued",
"video editing":
"An existing source video is directly modified; editing an image or generating between still keyframes does not belong to this type",
"video continuation":
"New content continues, extends, resumes, or transitions from an existing source video",
"audio reuse": "The same audio signal is reused in full or in part",
"audio reference":
"The audio signal is not copied directly; only its music style, timbre, dialogue or lyric content, sound-effect texture, beat, or continuity is referenced",
};
/**
* Split a summary into its leading `[...]` task-type prefix and the rest.
* @param {string} text
* @returns {{ types: string[], rest: string }}
*/
function parsePrefix(text) {
const m = (text ?? "").match(/^\s*\[([^\]]*)\]\s*/);
if (!m) return { types: [], rest: text ?? "" };
const types = m[1]
.split("+")
.map((s) => s.trim())
.filter(Boolean);
return { types, rest: (text ?? "").slice(m[0].length) };
}
/**
* Rewrite the leading task-type prefix of a summary. An empty selection removes
* the prefix entirely.
* @param {string} text
* @param {string[]} chosen task types, already in the desired order
* @returns {string}
*/
function setPrefix(text, chosen) {
const { rest } = parsePrefix(text);
if (!chosen.length) return rest;
return `[${chosen.join(" + ")}] ${rest}`;
}
exports.TASK_TYPES = TASK_TYPES;
exports.TASK_TYPE_HINTS = TASK_TYPE_HINTS;
exports.parsePrefix = parsePrefix;
exports.setPrefix = setPrefix;
});
register("js/llm/llm-config.js", function (module, exports, require) {
const { idbGet, idbSet } = require("js/storage/idb.js");
/**
* Global, app-wide LLM configuration.
*
* This is intentionally NOT tied to any one section: image prompts, the prompt
* library, and future features all read the same settings to talk to a local
* (or remote) OpenAI-compatible endpoint (LM Studio, Ollama, llama.cpp, ...).
*
* Persisted in IndexedDB as CONFIG only (base URL, model, key, temperature) —
* never prompt or image content, so disk stays the single source of truth for
* content. NOTE: an API key, if set, is stored in plaintext in IndexedDB; for
* local servers no key is needed, so leave it empty.
*/
const IDB_KEY = "llmConfig";
/** Sensible default for LM Studio's local server. */
const DEFAULT_LLM_CONFIG = {
baseUrl: "http://localhost:1234/v1",
model: "",
apiKey: "",
temperature: 0.7,
// Send `cache_prompt: false` so the server rebuilds context from our messages
// each call instead of reusing the previous request's KV cache. Prevents a
// prior image from "leaking" into later text generations in LM Studio.
independentContext: true,
};
/**
* Live, app-wide config. Read this object anywhere; change it only through
* `saveLlmConfig` so the persisted copy stays in sync.
*/
const llmConfig = { ...DEFAULT_LLM_CONFIG };
/** Trim and drop any trailing slash so paths can be appended cleanly. */
function normalizeBaseUrl(url) {
return String(url || "").trim().replace(/\/+$/, "");
}
/** Load persisted config into `llmConfig`. Call once at startup. */
async function loadLlmConfig() {
const saved = await idbGet(IDB_KEY).catch(() => null);
if (saved && typeof saved === "object") Object.assign(llmConfig, saved);
llmConfig.baseUrl = normalizeBaseUrl(llmConfig.baseUrl);
return llmConfig;
}
/** Merge a patch into the config and persist it. */
async function saveLlmConfig(patch) {
Object.assign(llmConfig, patch);
llmConfig.baseUrl = normalizeBaseUrl(llmConfig.baseUrl);
await idbSet(IDB_KEY, { ...llmConfig });
return llmConfig;
}
/** True when there is enough config to attempt a call (base URL + model). */
function isLlmConfigured() {
return !!(llmConfig.baseUrl && llmConfig.model);
}
/**
* Live connectivity status, updated by the last probe (see refreshLlmStatus).
* "off" = not configured, "checking" = probing, "warn" = configured but
* unreachable, "on" = connected. Features enable AI actions off this.
*/
const llmStatus = { state: "off" };
const statusListeners = new Set();
/** Subscribe to status changes; returns an unsubscribe function. */
function onLlmStatusChange(cb) {
statusListeners.add(cb);
return () => statusListeners.delete(cb);
}
/** Set the current status and notify subscribers. */
function setLlmStatus(state) {
llmStatus.state = state;
for (const cb of statusListeners) {
try {
cb(state);
} catch {
/* a listener error must not break the others */
}
}
}
/** True when the last probe found the LLM reachable. */
function isLlmOnline() {
return llmStatus.state === "on";
}
exports.DEFAULT_LLM_CONFIG = DEFAULT_LLM_CONFIG;
exports.llmConfig = llmConfig;
exports.loadLlmConfig = loadLlmConfig;
exports.saveLlmConfig = saveLlmConfig;
exports.isLlmConfigured = isLlmConfigured;
exports.llmStatus = llmStatus;
exports.onLlmStatusChange = onLlmStatusChange;
exports.setLlmStatus = setLlmStatus;
exports.isLlmOnline = isLlmOnline;
});
register("js/text-ai.js", function (module, exports, require) {
const { chat } = require("js/llm/llm-client.js");
const { isLlmOnline } = require("js/llm/llm-config.js");
const { listTemplates, getSelectedTemplateId, setSelectedTemplate, getTemplateValue, getTemplateModel } = require("js/llm/llm-prompts.js");
const { toast } = require("js/toast.js");
/**
* Generic text-generation modal used by the Prompt Library Generate features
* (MiniMax scene, Default plain-text prompt, and future ones).
*
* A caller opens it for a template PURPOSE with an optional context string; the
* modal sends system + user (+ context) to the LLM and hands the RAW result back
* via `onApply`, so each caller applies it its own way (parse into a scene, set a
* text field, …). Purpose-specific input UIs (e.g. loading images) live in the
* caller, not here.
*/
const $ = (id) => document.getElementById(id);
const GEN_TIMEOUT_MS = 120000;
let el;
/** @type {{purpose:string,onApply:(t:string)=>void,context?:string,contextLabel?:string,validate?:(t:string)=>boolean}|null} */
let cfg = null;
let inflight = null;
let baseHint = "(editable)";
/** Conversation so far (null before the first generation). Refine appends turns. */
let history = null;
function initTextAi() {
el = {
root: $("textGenModal"),
title: $("textGenTitle"),
closeBtn: $("textGenCloseBtn"),
template: $("textGenTemplate"),
system: $("textGenSystem"),
user: $("textGenUser"),
contWrap: $("textGenContWrap"),
contCheck: $("textGenCont"),
contLabel: $("textGenContLabel"),
refWrap: $("textGenRefWrap"),
refLabel: $("textGenRefLabel"),
ref: $("textGenRef"),
ctxNote: $("textGenCtxNote"),
runBtn: $("textGenRunBtn"),
refineBtn: $("textGenRefineBtn"),
stopBtn: $("textGenStopBtn"),
status: $("textGenStatus"),
resultHint: $("textGenResultHint"),
result: $("textGenResult"),
acceptBtn: $("textGenAcceptBtn"),
};
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
el.runBtn.addEventListener("click", run);
el.refineBtn.addEventListener("click", refine);
el.stopBtn.addEventListener("click", abortInflight);
el.acceptBtn.addEventListener("click", accept);
el.template.addEventListener("change", onTemplateChange);
el.result.addEventListener("input", () => syncButtons());
}
/**
* `continuation` (optional) shows a checkbox; when ticked, its context is added
* to the request so the model can build on prior content (e.g. a previous scene).
*
* `validate(text)` (optional): when it returns false, the accept button is
* disabled and the result hint warns — so an unparseable result must be fixed.
*
* @param {{ purpose:string, title:string, context?:string, contextLabel?:string,
* resultHint?:string, acceptLabel?:string, onApply:(text:string)=>void,
* continuation?:{ label:string, contextLabel:string, context:string },
* validate?:(text:string)=>boolean }} opts
*/
function openTextAi(opts) {
if (!isLlmOnline()) {
toast("AI not connected — check AI settings.", "warn");
return;
}
cfg = opts;
el.title.textContent = opts.title || "Generate with AI";
baseHint = opts.resultHint || "(editable)";
el.resultHint.textContent = baseHint;
el.acceptBtn.textContent = opts.acceptLabel || "Use";
// Optional "continue from …" checkbox (on by default when offered).
if (opts.continuation) {
el.contLabel.textContent = opts.continuation.label;
el.contCheck.checked = true;
el.contWrap.hidden = false;
} else {
el.contWrap.hidden = true;
}
// Optional read-only reference (e.g. the subject_definitions being applied).
if (opts.reference && (opts.reference.text || "").trim()) {
el.refLabel.textContent = opts.reference.label || "Reference";
el.ref.value = opts.reference.text;
el.refWrap.hidden = false;
} else {
el.refWrap.hidden = true;
el.ref.value = "";
}
populateTemplateSelect();
const sel = getSelectedTemplateId(opts.purpose);
el.template.value = sel;
applyTemplate(sel);
el.result.value = "";
history = null; // fresh session — no conversation yet
el.runBtn.textContent = "Generate";
el.refineBtn.hidden = true; // appears after the first generation
updateCtxNote();
setBusy(false);
setStatus("Ready.", "");
el.root.hidden = false;
}
function close() {
abortInflight();
el.root.hidden = true;
}
function populateTemplateSelect() {
el.template.textContent = "";
for (const t of listTemplates(cfg.purpose)) {
const o = document.createElement("option");
o.value = t.id;
o.textContent = t.name;
el.template.appendChild(o);
}
}
function applyTemplate(id) {
el.system.value = getTemplateValue(cfg.purpose, id, "system");
el.user.value = getTemplateValue(cfg.purpose, id, "user");
}
function onTemplateChange() {
applyTemplate(el.template.value);
setSelectedTemplate(cfg.purpose, el.template.value);
}
function updateCtxNote() {
el.ctxNote.textContent =
cfg.context && cfg.context.trim()
? "The current content is sent as context to improve/complete."
: "Generating from your instructions.";
}
/** Build the first-turn messages from the fields + context (fresh generation). */
function buildFreshMessages() {
// Reference context first, then the user's brief LAST, so the model treats
// the brief as the task to perform rather than as more context to echo.
const parts = [];
if (cfg.reference && (cfg.reference.text || "").trim()) {
parts.push(`${cfg.reference.label}:\n${cfg.reference.text.trim()}`);
}
const ctx = (cfg.context || "").trim();
// A pre-structured context (with its own internal labels) passes an empty
// contextLabel and is included as-is; otherwise it gets a wrapping label.
if (ctx) parts.push(cfg.contextLabel ? `${cfg.contextLabel}:\n${ctx}` : ctx);
if (cfg.continuation && el.contCheck.checked && cfg.continuation.context.trim()) {
parts.push(`${cfg.continuation.contextLabel}:\n${cfg.continuation.context.trim()}`);
}
if (el.user.value.trim()) parts.push(`TASK (do this now):\n${el.user.value.trim()}`);
const userText = parts.join("\n\n") || el.user.value;
const messages = [];
if (el.system.value.trim()) messages.push({ role: "system", content: el.system.value });
messages.push({ role: "user", content: userText });
return messages;
}
/** Send a message list; sets the result and returns the assistant text (null on error). */
async function send(messages) {
abortInflight();
const ctrl = new AbortController();
inflight = ctrl;
const timer = setTimeout(() => ctrl.abort(), GEN_TIMEOUT_MS);
setBusy(true);
setStatus("Generating…", "");
try {
const text = await chat(messages, {
signal: ctrl.signal,
model: getTemplateModel(cfg.purpose, el.template.value),
});
el.result.value = text.trim();
setStatus(
el.result.value ? "Done." : "The model returned an empty response.",
el.result.value ? "ok" : "warn"
);
return el.result.value;
} catch (err) {
setStatus(err.message, "error");
return null;
} finally {
clearTimeout(timer);
inflight = null;
setBusy(false);
}
}
/** Once a result exists, reveal Refine and relabel the primary button. */
function afterGenerated() {
el.runBtn.textContent = "Regenerate";
el.refineBtn.hidden = false;
}
/** Fresh generation: rebuild from the fields, discarding any prior conversation. */
async function run() {
const messages = buildFreshMessages();
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
afterGenerated();
}
}
/** Refine: keep the conversation and send the current user prompt as a new turn. */
async function refine() {
if (!history) return run();
// Use the (possibly hand-edited) result as the last assistant turn.
const base = history.slice();
if (base.length && base[base.length - 1].role === "assistant") {
base[base.length - 1] = { role: "assistant", content: el.result.value };
}
const instruction = el.user.value.trim() || "Refine the previous result.";
const messages = [...base, { role: "user", content: instruction }];
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
afterGenerated();
}
}
function accept() {
const text = el.result.value;
if (!text.trim()) return;
cfg.onApply?.(text);
toast("Applied — review and save.");
close();
}
function abortInflight() {
if (inflight) {
inflight.abort();
inflight = null;
}
}
function setBusy(busy) {
el.stopBtn.hidden = !busy;
el.refineBtn.disabled = busy;
syncButtons(busy); // handles runBtn + acceptBtn
}
function syncButtons(busy = false) {
el.runBtn.disabled = busy;
const text = el.result.value;
const hasResult = text.trim().length > 0;
const valid = !cfg?.validate || (hasResult && cfg.validate(text));
el.acceptBtn.disabled = busy || !hasResult || !valid;
// Warn in the result hint when there is content that can't be parsed.
el.resultHint.textContent =
cfg?.validate && hasResult && !valid
? `${baseHint} — ⚠ can't be parsed; fix it to enable "${cfg.acceptLabel || "Use"}"`
: baseHint;
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
exports.initTextAi = initTextAi;
exports.openTextAi = openTextAi;
});
register("js/llm/llm-client.js", function (module, exports, require) {
const { llmConfig } = require("js/llm/llm-config.js");
/**
* The ONLY module that performs LLM network calls (mirrors the storage-adapter
* rule: no feature fetches a model endpoint directly). It speaks the OpenAI-
* compatible REST protocol, so the same code works with LM Studio, Ollama
* (`:11434/v1`), llama.cpp, Jan, vLLM, and cloud OpenAI — only the base URL and
* model change, both read from the global `llmConfig`.
*
* Every feature (generate / complete / improve prompts, ...) should build its
* messages and call `chat()` here.
*/
function authHeaders() {
const h = { "Content-Type": "application/json" };
if (llmConfig.apiKey) h.Authorization = `Bearer ${llmConfig.apiKey}`;
return h;
}
function endpoint(path) {
const base = String(llmConfig.baseUrl || "").replace(/\/+$/, "");
if (!base) throw new Error("No LLM base URL configured — open AI settings.");
return base + path;
}
/** A cross-origin (CORS) block and a down server both surface as a TypeError. */
function networkError(err) {
// An aborted fetch (our timeout) throws a DOMException named "AbortError".
if (err && err.name === "AbortError") {
return new Error(
`Timed out reaching the LLM at "${llmConfig.baseUrl}" — is the server ` +
`running and the URL correct?`
);
}
return new Error(
`Could not reach the LLM at "${llmConfig.baseUrl}". Is the server running ` +
`and is CORS enabled? (${err.message})`
);
}
/**
* Send a chat completion and return the assistant's text.
*
* `content` may be a plain string, or — for vision models — an array of OpenAI
* content parts, e.g. `[{type:"text",text}, {type:"image_url",image_url:{url}}]`
* where `url` can be a `data:` URL (base64), which is how we send images.
*
* @param {{role:"system"|"user"|"assistant", content:string|object[]}[]} messages
* @param {{ temperature?: number, model?: string, signal?: AbortSignal,
* responseFormat?: object }} [opts]
* @returns {Promise<string>}
*/
async function chat(messages, opts = {}) {
const model = opts.model || llmConfig.model;
if (!model) throw new Error("No model selected — open AI settings.");
const body = {
model,
messages,
temperature: opts.temperature ?? llmConfig.temperature ?? 0.7,
stream: false,
};
// llama.cpp/LM Studio extension: don't reuse the previous request's cached
// context (avoids a prior image bleeding into a fresh generation). Unknown to
// servers that don't support it, which simply ignore it.
if (llmConfig.independentContext) body.cache_prompt = false;
if (opts.responseFormat) body.response_format = opts.responseFormat;
let res;
try {
res = await fetch(endpoint("/chat/completions"), {
method: "POST",
headers: authHeaders(),
body: JSON.stringify(body),
signal: opts.signal,
});
} catch (err) {
throw networkError(err);
}
if (!res.ok) {
const detail = await res.text().catch(() => "");
throw new Error(`LLM error ${res.status}: ${detail.slice(0, 300)}`);
}
const data = await res.json();
return data?.choices?.[0]?.message?.content ?? "";
}
/**
* List model ids from the endpoint (GET /models) to populate the settings
* picker. Throws on failure so the caller can show the reason.
* @param {{ signal?: AbortSignal }} [opts]
* @returns {Promise<string[]>}
*/
async function listModels(opts = {}) {
let res;
try {
res = await fetch(endpoint("/models"), {
headers: authHeaders(),
signal: opts.signal,
});
} catch (err) {
throw networkError(err);
}
if (!res.ok) throw new Error(`LLM error ${res.status}`);
const data = await res.json();
const list = Array.isArray(data?.data) ? data.data : [];
return list
.map((m) => m.id)
.filter(Boolean)
.sort((a, b) => a.localeCompare(b));
}
/**
* Probe the endpoint for the settings "Test connection" button and the status
* indicator.
* @param {{ signal?: AbortSignal }} [opts]
* @returns {Promise<{ok: boolean, message: string, models: string[]}>}
*/
async function testConnection(opts = {}) {
try {
const models = await listModels(opts);
return {
ok: true,
models,
message: models.length
? `Connected — ${models.length} model(s) available.`
: "Connected, but no models are loaded on the server.",
};
} catch (err) {
return { ok: false, models: [], message: err.message };
}
}
exports.chat = chat;
exports.listModels = listModels;
exports.testConnection = testConnection;
});
register("js/llm/llm-prompts.js", function (module, exports, require) {
const { idbGet, idbSet } = require("js/storage/idb.js");
const { DEFAULT_TYPE, MINIMAX_TYPE, promptTypeLabel } = require("js/prompt-types.js");
const { DEFAULT_PROMPTS } = require("js/llm/llm-default-prompts.js");
/**
* Named prompt TEMPLATES used by AI features.
*
* Model:
* - A "purpose" (e.g. `image.generate`) defines the fields a template holds
* (system + user) and a built-in, read-only "Default".
* - Each purpose has zero or more USER templates (named bundles of those field
* values), plus the built-in Default. At use time a feature picks one.
* - The last-picked template id per purpose is remembered (`selected`).
*
* Purposes are placed in a hierarchy so the manager sidebar mirrors the app:
*
* area ("Image prompts" | "Prompt Library")
* └─ promptType (Prompt Library only: the library prompt type, e.g. H3)
* └─ purpose ("Scene", "Subject definitions", "Section refiner", …)
*
* Add a purpose here and it shows up automatically under its area/type. Different
* purposes can back very different Generate UIs (a scene generator vs. one that
* loads images from disk); that behavior lives in the feature module — this file
* only stores the prompt templates.
*
* Persisted in IndexedDB as config only (never content).
*
* A template may also pin its own `model` (empty = use the global model from AI
* settings). LM Studio loads it on demand when a request names a model that
* isn't loaded (needs Just-In-Time model loading enabled), so switching models
* per template can slow that first call.
*
* @typedef {{key:string,label:string,description:string}} FieldDef
* @typedef {{id:string,area:string,promptType:(string|null),label:string,description:string,fields:FieldDef[],default:Record<string,string>}} PurposeDef
* @typedef {{id:string,name:string,values:Record<string,string>,model?:string}} UserTemplate
*/
const IDB_KEY = "llmTemplates";
const LEGACY_KEY = "llmPrompts"; // single-value model, migrated on first load
/** Reserved id of the built-in, read-only template. */
const DEFAULT_TEMPLATE_ID = "default";
/** Built-in default prompts for a purpose (from the generated map). */
const def = (id) => DEFAULT_PROMPTS[id] || {};
/** @type {PurposeDef[]} */
const PURPOSE_DEFS = [
{
id: "image.generate",
area: "Image prompts",
promptType: null,
label: "Generate",
description:
"Used by the ✨ Generate button on an image to caption it with a vision model.",
fields: [
{
key: "system",
label: "System prompt",
description: "The model's role/instructions.",
},
{
key: "user",
label: "User prompt",
description: "The request sent alongside the image.",
},
],
default: def("image.generate"),
},
{
id: "scene.generate",
area: "Prompt Library",
promptType: MINIMAX_TYPE,
label: "Scene",
description:
"Used by the ✨ Generate button on a MiniMax H3 Ref2VA scene.",
fields: [
{
key: "system",
label: "System prompt",
description: "Teaches the model the canonical scene/section format.",
},
{
key: "user",
label: "User prompt",
description: "Your brief. The current scene is sent as context to refine.",
},
],
default: def("scene.generate"),
},
{
id: "library.h3.subject",
area: "Prompt Library",
promptType: MINIMAX_TYPE,
label: "Subject definitions",
description:
"Used by the globals ✨ Generate: describes a reference image as one " +
"subject_definitions line for a <Subject N> or <Picture N> label.",
fields: [
{
key: "system",
label: "System prompt",
description: "Teaches the single-line subject_definitions format.",
},
{
key: "user",
label: "User prompt",
description: "Base instruction; the target label is appended per image.",
},
],
default: def("library.h3.subject"),
},
{
id: "library.h3.review",
area: "Prompt Library",
promptType: MINIMAX_TYPE,
label: "Review",
description:
"Used by the 🔍 Review button: reviews the WHOLE prompt (globals + all " +
"scenes) for cross-scene consistency and improvements. Advisory only.",
fields: [
{
key: "system",
label: "System prompt",
description: "The reviewer's role and the H3 review checklist.",
},
{
key: "user",
label: "User prompt",
description: "Your review brief. The whole prompt is sent as context.",
},
],
default: def("library.h3.review"),
},
{
id: "library.h3.scene-review",
area: "Prompt Library",
promptType: MINIMAX_TYPE,
label: "Scene review",
description:
"Used by the 🔍 Review button on a scene: reviews ONE scene against its " +
"neighbours + globals; 'Apply suggestions' can rewrite the scene.",
fields: [
{
key: "system",
label: "System prompt",
description: "The reviewer's role and the single-scene review checklist.",
},
{
key: "user",
label: "User prompt",
description: "Your review brief. The scene + its neighbours are sent as context.",
},
],
default: def("library.h3.scene-review"),
},
{
id: "library.default.generate",
area: "Prompt Library",
promptType: DEFAULT_TYPE,
label: "Generate",
description:
"Used by the ✨ Generate button on a Default (plain-text) prompt.",
fields: [
{
key: "system",
label: "System prompt",
description: "The model's role/instructions.",
},
{
key: "user",
label: "User prompt",
description: "Your brief. The current prompt is sent as context to refine.",
},
],
default: def("library.default.generate"),
},
];
function getPurpose(id) {
return PURPOSE_DEFS.find((p) => p.id === id) || null;
}
/**
* The purpose hierarchy for the manager sidebar, in first-seen order:
* [{ area, groups: [{ type, label, purposes: PurposeDef[] }] }]
* A group with `type: null` (label null) is a flat list directly under the area;
* otherwise `label` is the prompt-type heading (e.g. "MiniMax H3 Ref2VA").
*/
function promptTree() {
const areas = [];
for (const p of PURPOSE_DEFS) if (!areas.includes(p.area)) areas.push(p.area);
return areas.map((area) => {
const groups = [];
for (const p of PURPOSE_DEFS.filter((x) => x.area === area)) {
const type = p.promptType || null;
let g = groups.find((x) => x.type === type);
if (!g) {
g = { type, label: type ? promptTypeLabel(type) : null, purposes: [] };
groups.push(g);
}
g.purposes.push(p);
}
return { area, groups };
});
}
/**
* Live, app-wide store: `{ [purposeId]: { selected: string, templates: UserTemplate[] } }`.
* The built-in Default is NOT stored here; it always comes from PURPOSE_DEFS.
*/
const llmTemplates = {};
const clone = (o) => JSON.parse(JSON.stringify(o));
function persist() {
return idbSet(IDB_KEY, clone(llmTemplates));
}
/** Ensure every known purpose has a well-formed entry. */
function normalize() {
for (const p of PURPOSE_DEFS) {
const s = llmTemplates[p.id];
if (!s || typeof s !== "object") {
llmTemplates[p.id] = { selected: DEFAULT_TEMPLATE_ID, templates: [], defaultModel: "" };
continue;
}
if (!Array.isArray(s.templates)) s.templates = [];
if (!s.selected) s.selected = DEFAULT_TEMPLATE_ID;
if (typeof s.defaultModel !== "string") s.defaultModel = ""; // model for built-in Default
}
}
/** Carry a customized single-value config (old model) into a "Custom" template. */
async function migrateFromLegacy() {
const old = await idbGet(LEGACY_KEY).catch(() => null);
if (!old || typeof old !== "object") return;
const p = getPurpose("image.generate");
const sys = old["image.generate.system"];
const usr = old["image.generate.user"];
const changed =
(sys != null && sys !== p.default.system) ||
(usr != null && usr !== p.default.user);
if (changed) {
llmTemplates["image.generate"] = {
selected: "t_migrated",
templates: [
{
id: "t_migrated",
name: "Custom",
values: { system: sys ?? p.default.system, user: usr ?? p.default.user },
},
],
};
}
}
/** Load persisted templates. Call once at startup. */
async function loadLlmTemplates() {
const saved = await idbGet(IDB_KEY).catch(() => null);
if (saved && typeof saved === "object") Object.assign(llmTemplates, saved);
else await migrateFromLegacy();
normalize();
return llmTemplates;
}
/**
* Persist the full edited structure (from the templates manager). Validates each
* `selected` still points at an existing template, else falls back to Default.
* @param {Record<string, {selected:string, templates:UserTemplate[]}>} draft
*/
async function saveLlmTemplates(draft) {
for (const p of PURPOSE_DEFS) {
const d = (draft && draft[p.id]) || {};
const templates = Array.isArray(d.templates)
? d.templates.map((t) => cleanTemplate(p, t))
: [];
let selected = d.selected || DEFAULT_TEMPLATE_ID;
if (
selected !== DEFAULT_TEMPLATE_ID &&
!templates.some((t) => t.id === selected)
) {
selected = DEFAULT_TEMPLATE_ID;
}
llmTemplates[p.id] = { selected, templates, defaultModel: (d.defaultModel || "").trim() };
}
await persist();
return llmTemplates;
}
/** Keep only known fields; ensure id/name are present. */
function cleanTemplate(purpose, t) {
const values = {};
for (const f of purpose.fields) values[f.key] = (t.values && t.values[f.key]) || "";
return { id: t.id, name: t.name || "Untitled", values, model: t.model || "" };
}
/** Persist just the selected template id for a purpose (used at generation). */
async function setSelectedTemplate(purposeId, templateId) {
const s = llmTemplates[purposeId] || (llmTemplates[purposeId] = {
selected: DEFAULT_TEMPLATE_ID,
templates: [],
});
s.selected = templateId;
await persist();
}
/** All templates for a purpose: the built-in Default first, then user ones. */
function listTemplates(purposeId) {
const p = getPurpose(purposeId);
const builtin = {
id: DEFAULT_TEMPLATE_ID,
name: "Default",
values: { ...(p ? p.default : {}) },
model: (llmTemplates[purposeId] && llmTemplates[purposeId].defaultModel) || "",
builtin: true,
};
const users = ((llmTemplates[purposeId] && llmTemplates[purposeId].templates) || []).map(
(t) => ({ ...t, builtin: false })
);
return [builtin, ...users];
}
/** A template by id (falls back to the built-in Default). */
function getTemplate(purposeId, templateId) {
const all = listTemplates(purposeId);
return all.find((t) => t.id === templateId) || all[0];
}
/** The remembered selection id, validated against the current list. */
function getSelectedTemplateId(purposeId) {
const sel = (llmTemplates[purposeId] && llmTemplates[purposeId].selected) || DEFAULT_TEMPLATE_ID;
return listTemplates(purposeId).some((t) => t.id === sel) ? sel : DEFAULT_TEMPLATE_ID;
}
/** A single field value for a template (falls back to the built-in default). */
function getTemplateValue(purposeId, templateId, fieldKey) {
const t = getTemplate(purposeId, templateId);
const p = getPurpose(purposeId);
return (t?.values?.[fieldKey] ?? p?.default?.[fieldKey] ?? "").toString();
}
/** The model a template pins, or "" to use the global model (AI settings). */
function getTemplateModel(purposeId, templateId) {
if (templateId === DEFAULT_TEMPLATE_ID) {
return (llmTemplates[purposeId] && llmTemplates[purposeId].defaultModel) || "";
}
const t = getTemplate(purposeId, templateId);
return (t && t.model) || "";
}
exports.DEFAULT_TEMPLATE_ID = DEFAULT_TEMPLATE_ID;
exports.PURPOSE_DEFS = PURPOSE_DEFS;
exports.getPurpose = getPurpose;
exports.promptTree = promptTree;
exports.llmTemplates = llmTemplates;
exports.loadLlmTemplates = loadLlmTemplates;
exports.saveLlmTemplates = saveLlmTemplates;
exports.setSelectedTemplate = setSelectedTemplate;
exports.listTemplates = listTemplates;
exports.getTemplate = getTemplate;
exports.getSelectedTemplateId = getSelectedTemplateId;
exports.getTemplateValue = getTemplateValue;
exports.getTemplateModel = getTemplateModel;
});
register("js/llm/llm-default-prompts.js", function (module, exports, require) {
// AUTO-GENERATED by scripts/gen-default-prompts.mjs — DO NOT EDIT BY HAND.
// Edit the plain-text sources in prompts/ and re-run the generator:
// node scripts/gen-default-prompts.mjs
// (build.mjs also runs it before bundling, so dist/ stays fresh.)
/** Built-in default AI prompts, keyed by purpose id then field. */
const DEFAULT_PROMPTS = {
"image.generate": {
"system": "You are an expert vision captioner for text-to-image and LoRA training. Look at the image and write ONE concise prompt describing it: main subject(s), appearance, clothing, action or pose, setting, composition, lighting, color palette, and art style. Use comma-separated phrases. Output only the prompt text — no preamble, no quotes, no explanations.",
"user": "Write a detailed prompt for this image.",
},
"library.default.generate": {
"system": "You are an expert prompt writer. Based on the user's request, write a single, complete, ready-to-use prompt as plain text. Output only the prompt text — no preamble, no commentary, no markdown.",
"user": "Write a detailed prompt.",
},
"library.h3.review": {
"system": "You are a senior reviewer for MiniMax H3 Ref2VA (full-reference) video prompts. You are given a whole prompt: the shared subject_definitions and, for each scene, its summary and detailed_description. REVIEW the prompt as a set — do NOT rewrite it.\n\nCheck, and report problems + concrete fixes, for:\n1. Subject/label consistency: every <Subject N> / <Picture N> used in a scene must be defined in subject_definitions; a label must keep the same identity across scenes; a scene must NOT re-describe a defined subject's fixed details (appearance, wardrobe, a setting's fixtures) — it should reference it by label. Flag invented, undefined, or redefined labels, and descriptions that contradict each other between scenes.\n2. Cross-scene continuity: subjects, setting, wardrobe and tone should stay continuous unless a change is clearly intended. Flag contradictions (a subject's clothing/appearance changing for no reason, day↔night jumps, a prop appearing or vanishing between scenes).\n3. No repetition: consecutive scenes must show NEW, different action — flag scenes that repeat, restate, or reuse a previous scene's wording, shots, or events.\n4. Format adherence per scene:\n - summary: one short paragraph using only existing <Subject N> / <Picture N> labels; it should carry a \"[task type]\" prefix.\n - detailed_description: TWO parts — (1) one short style+setting opening sentence with no [Shot] tag, then (2) a line starting with \"[Shot 1] …\". Default is a single shot with no timestamps unless multiple shots are clearly intended. Flag a missing opening sentence, a missing \"[Shot 1]\", or unjustified extra shots/timestamps.\n5. Completeness: flag empty / \"N/A\" / vague required content and note where a scene is underspecified for the model.\n\nReport format (plain text, concise, actionable):\n- \"Cross-scene issues\": consistency/continuity problems spanning scenes, each naming the scenes involved and a concrete fix.\n- \"Per-scene notes\": grouped under \"Scene N\", only scenes that have issues.\n- \"Suggestions\": a short, prioritized list of the highest-impact improvements.\nCite scenes as \"Scene N\". Do NOT rewrite the prompt or output full replacement scenes — give targeted, minimal fixes. If something is already solid, say so briefly.",
"user": "Review this prompt for cross-scene consistency and suggest improvements.",
},
"library.h3.scene-review": {
"system": "You are a senior reviewer for MiniMax H3 Ref2VA (full-reference) video prompts. You are given the shared subject_definitions and three scenes: the PREVIOUS scene and the NEXT scene as read-only context, and the CURRENT scene, which is the ONLY one you review. REVIEW the CURRENT scene — do NOT rewrite it here.\n\nCheck, and report problems + concrete fixes, for the CURRENT scene:\n1. Subject/label consistency: every <Subject N> / <Picture N> it uses must be defined in subject_definitions and keep the same identity as in the neighbouring scenes; it must NOT re-describe a defined subject's fixed details (appearance, wardrobe, a setting's fixtures) — reference them by label. Flag invented, undefined, or redefined labels, and details that contradict the neighbours.\n2. Continuity with the neighbours: subjects, setting, wardrobe and tone should follow on from the PREVIOUS scene and set up the NEXT one, unless a change is clearly intended. Flag contradictions (clothing/appearance changing for no reason, day↔night jumps, a prop appearing or vanishing).\n3. No repetition: the CURRENT scene must show NEW, different action — flag any repetition, restatement, or reuse of the PREVIOUS scene's wording, shots, or events.\n4. Format: summary is one short paragraph using only existing labels with a \"[task type]\" prefix; detailed_description is TWO parts — one short style+setting opening sentence with no [Shot] tag, then a line starting with \"[Shot 1] …\" (single shot, no timestamps unless multiple shots are clearly intended). Flag a missing opening sentence, a missing \"[Shot 1]\", or unjustified extra shots/timestamps.\n5. Completeness: flag empty / \"N/A\" / vague required content and note where the scene is underspecified.\n\nReport concise, actionable notes for the CURRENT scene only (do NOT critique the neighbours), followed by a short \"Suggestions\" list of the highest-impact fixes. Do NOT output a rewritten scene here.",
"user": "Review the current scene for consistency with its neighbours and suggest improvements.",
},
"library.h3.subject": {
"system": "You are an expert at writing MiniMax H3 Ref2VA `subject_definitions`. You are given a reference image and a target label such as <Subject 1> or <Picture 1>. Write EXACTLY ONE line defining that label.\n\n- For <Subject N>: describe the MAIN subject of the image.\n · If it is a person / people (or a specific animal / object / product): describe only that subject's identifying features (approximate age, gender, build, skin tone, hair, notable facial features and expression, clothing/accessories with colors); do NOT describe the surrounding background, environment, or lighting. If several people appear, describe each briefly.\n · If the image is a scene/environment with no salient person, animal, or object (e.g. an empty room, a public bathroom, a landscape): the environment IS the subject — describe its type, layout, key surfaces/fixtures/objects, materials, colors, and overall look.\n- For <Picture N>: describe the image as a concrete frame/composition anchor.\n\nBegin the line with the exact given label followed by ' is '. Output ONLY that one line — no preamble, no quotes, no extra lines.",
"user": "Describe this reference image for the given label.",
},
"scene.generate": {
"system": "You write ONE scene for the MiniMax H3 Ref2VA (full-reference) video model. Output ONLY these sections, in order, each as \"section:\" on its own line with a blank line between them:\n\nsummary\ndetailed_description\noverall_soundscape\nnon_diegetic_music\n\nWrite everything in English except dialogue/lyrics inside <d> and text visible on screen.\n\nGENERAL\n- summary: one short paragraph using only the existing <Subject N> / <Picture N> labels; introduce no new labels.\n- If subject_definitions are provided, reuse those exact <Subject N> / <Picture N> labels; never invent new ones or redefine them.\n- Everything in subject_definitions (people, environments/settings, objects) is already defined there: reference it by its <Subject N> / <Picture N> label and do NOT re-describe or invent its fixed details (a person's clothing/hair/features, a setting's layout/fixtures/materials). Name the setting by its label (e.g. \"set in <Subject 1>\") instead of describing it; describe only actions, positions, and state changes.\n- HONOR THE BRIEF'S AUDIO: include exactly the sounds, ambience, music, songs, and lyrics the user requests, in the correct section, using their intent verbatim. Never drop them or replace them with different invented audio.\n- If a previous scene is provided (CONTINUATION), write the NEXT scene that continues it: keep continuity of subjects, setting, wardrobe and tone, but SHOW NEW, DIFFERENT action driven by the TASK; do NOT repeat, restate, summarize, or reuse the previous scene's wording, shots, or events. In continuation mode, detailed_description MUST START with exactly \"Continue directly from the incoming H3 Motion Context, \" (this replaces the style/setting opening sentence) and then flow into \"[Shot 1] …\". Otherwise (no previous scene) write a fresh opening scene with the style/setting opening.\n\nDETAILED_DESCRIPTION (main body, playback order; be detailed and explicit — aim for a rich ~350-500 words, but do not pad; dialogue-dense scenes may be shorter to fit the spoken timeline)\n- FORMAT it in TWO parts, in this exact order:\n (1) ONE SHORT opening sentence (≈8–50 words, no [Shot] tag) establishing just the video type/style (from the brief; do NOT default to \"cinematic\" unless asked) and the setting. Keep it brief — the detail belongs in the shot, not here. If any subject_definition is a place/room/environment, that is the SETTING — reference it by its <Subject N> label, don't describe it (e.g. \"Amateur home-video set in <Subject 1>.\").\n (2) On the NEXT line, start with the literal token \"[Shot 1]\" (no timestamp) and describe the shot: composition, subjects by their <Subject N> labels, action, camera, and synchronized sound.\n Never merge the two: the style+setting sentence comes first, THEN \"[Shot 1] ...\". Never start detailed_description directly with \"[Shot 1]\".\n- DEFAULT: ONE shot only. Use \"[Shot 1]\" with NO timestamp, keep the whole scene inside it, and move the camera instead of cutting. Do not add more shots or any timestamps.\n- Multiple shots ONLY if the brief explicitly asks: then add \"[Shot 2]\", \"[Shot 3]\", … each starting with a strictly increasing cut time (e.g. \"At 00:03.500, the camera cuts to …\").\n- Per shot, ground every detail in what is visible or audible: composition, subject position and action, environment and lighting (if the setting is a defined subject, name it by its <Subject N> label instead of re-describing it), state changes, camera movement, and synchronized sound/dialogue; note where each <Subject N>/<Picture N> appears or takes effect. Do NOT write a plot summary or a bare list of reference relationships. Cite a frame anchor naturally (e.g. \"the shot begins from <Picture 1>\").\n- Keep EVERY on-screen subject alive: give each present <Subject N> believable ongoing behavior — small idle actions, natural reactions, gaze/weight shifts, breathing, fidgets, gestures — so no one stands frozen while another acts (unless stillness is clearly intended). Secondary subjects should react to the main action instead of staying static.\n\nCAMERA — natural English within the sentence, never stacked labels. Form: motion (+ \"with small/large amplitude\") (+ \"at slow/fast speed\"); omit medium amplitude and normal speed.\nMotions: Zoom In/Out, Push In/Pull Out, Pan Left/Right, Truck Left/Right, Tilt Up/Down, Pedestal Up/Down, Arc Shot, Tracking Shot, Static Shot, Shake Slightly/Strongly, POV, Roll Clockwise/Counterclockwise.\ne.g. \"The camera pushes in with small amplitude at slow speed toward her hands.\"\n\nDIALOGUE & MUSIC\n- Vocal sources get stable IDs (S1), (S2)...; joint speech (S1,S2). When a defined subject speaks, write \"<Subject N> (Sx)\"; for a speaker who is not a defined subject, use a short stable voice description + (Sx). Keep identity/action OUTSIDE <d>; inside only <d>[Language] exact words</d>, verbatim (no translation).\n- Voiceover: \"says in an off-screen voiceover\" and note the lips stay closed.\n- Music the characters can hear (ambient or from a device) is DIEGETIC → describe it in detailed_description (genre + source; reused lyrics in <d>[Language] ...</d>), NOT in non_diegetic_music. On-screen text in double quotes, verbatim.\n\nOVERALL_SOUNDSCAPE: 1-4 English sentences summarizing WHOLE-VIDEO ambience and general physical / non-verbal sounds (wind, footsteps, impacts, breathing...). Keep it GENERAL: do NOT reference <Subject N> labels, name a shot, or narrate sounds synchronized to a specific action — those action-synced sounds belong in detailed_description. Reflect any ambience the brief requests. No dialogue, songs, or music here. Use \"N/A\" only for deliberate full silence.\n\nNON_DIEGETIC_MUSIC: By DEFAULT write exactly \"N/A\". Only when the brief explicitly asks for background/score music, describe that audience-only music in 1-3 English sentences (instrumentation, tempo, rhythm, dynamics; no mood words).\n\nOutput ONLY these four sections — no preamble, no commentary, no markdown.",
"user": "Generate a complete, vivid scene.",
},
};
exports.DEFAULT_PROMPTS = DEFAULT_PROMPTS;
});
register("js/globals-ai.js", function (module, exports, require) {
const { chat } = require("js/llm/llm-client.js");
const { isLlmOnline } = require("js/llm/llm-config.js");
const { listTemplates, getSelectedTemplateId, setSelectedTemplate, getTemplateValue, getTemplateModel } = require("js/llm/llm-prompts.js");
const { openModal } = require("js/modal.js");
const { SECTION_HELP } = require("js/section-help.js");
const { toast } = require("js/toast.js");
/**
* "Generate globals with AI" for MiniMax H3 Ref2VA prompt-level sections.
*
* Per added reference the user picks a label type (Subject/Picture), a
* relationship marker, and a disk image. The image is sent to a vision model,
* which returns one `<Label N> is …` line for `subject_definitions`; a matching
* `retention_analysis` entry is created DETERMINISTICALLY (no LLM) with the
* chosen marker and a `- TODO` to complete.
*
* The two textareas are the source of truth. A live list is derived from them;
* deleting/reordering in the list re-serializes BOTH fields with sequential
* per-type indices, so numbering always stays in sync. Editing the textareas by
* hand is allowed — the list re-derives from them; any list operation then
* re-numbers, and non-conforming lines are dropped (the user's responsibility).
*/
const $ = (id) => document.getElementById(id);
const SUBJECT_PURPOSE = "library.h3.subject";
const GEN_TIMEOUT_MS = 120000;
/** Fixed relationship markers for visible content (guide §4.1). */
const RELATIONSHIP_MARKERS = [
"fully_preserved",
"partially_preserved",
"attribute_transfer",
"weak_reference",
];
const LABEL_RE = /^\s*<(Subject|Picture)\s+(\d+)>\s?(.*)$/;
let el;
/** @type {((v:{subjectDefs:string,retention:string})=>void)|null} */
let applyFn = null;
/** @type {AbortController|null} */
let inflight = null;
function initGlobalsAi() {
el = {
root: $("globalsGenModal"),
closeBtn: $("globalsGenCloseBtn"),
template: $("globalsTemplate"),
labelType: $("globalsLabelType"),
nextLabel: $("globalsNextLabel"),
marker: $("globalsMarker"),
imageInput: $("globalsImageInput"),
addBtn: $("globalsAddBtn"),
stopBtn: $("globalsStopBtn"),
status: $("globalsStatus"),
list: $("globalsList"),
listEmpty: $("globalsListEmpty"),
subjects: $("globalsSubjects"),
subjHelp: $("globalsSubjHelp"),
retention: $("globalsRetention"),
retHelp: $("globalsRetHelp"),
acceptBtn: $("globalsAcceptBtn"),
};
for (const m of RELATIONSHIP_MARKERS) {
const o = document.createElement("option");
o.value = m;
o.textContent = m;
el.marker.appendChild(o);
}
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
// Same field guidance as the scene editor's "?" help buttons.
el.subjHelp.addEventListener("click", () =>
openModal({ title: "subject_definitions — guidance", html: SECTION_HELP.subject_definitions })
);
el.retHelp.addEventListener("click", () =>
openModal({ title: "retention_analysis — guidance", html: SECTION_HELP.retention_analysis })
);
el.template.addEventListener("change", () =>
setSelectedTemplate(SUBJECT_PURPOSE, el.template.value)
);
el.labelType.addEventListener("change", updateNextLabel);
el.imageInput.addEventListener("change", () => {
el.addBtn.disabled = el.imageInput.files.length === 0;
});
el.addBtn.addEventListener("click", addReference);
el.stopBtn.addEventListener("click", abortInflight);
el.acceptBtn.addEventListener("click", accept);
// Editing subjects by hand drives retention: mirror it line-for-line as you
// type (without rewriting the field you're in), then re-index on blur.
el.subjects.addEventListener("input", onSubjectsInput);
el.subjects.addEventListener("change", normalize);
el.retention.addEventListener("input", renderList);
}
/** As the user edits subject_definitions, keep retention_analysis in sync. */
function onSubjectsInput() {
syncRetentionToSubjects();
renderList();
}
/**
* Rebuild retention_analysis to have exactly one line per subject label present
* in subject_definitions (same labels and order), keeping each label's existing
* retention text and defaulting any new one. Does not rewrite subjects, so
* typing there is never disrupted. Deleting a subject line thus drops its
* retention line too.
*/
function syncRetentionToSubjects() {
const retByLabel = new Map();
for (const line of el.retention.value.split("\n")) {
const m = line.match(LABEL_RE);
if (m) retByLabel.set(`${m[1]} ${m[2]}`, m[3]);
}
const out = [];
for (const line of el.subjects.value.split("\n")) {
const m = line.match(LABEL_RE);
if (!m) continue;
const label = `<${m[1]} ${m[2]}>`;
const rest = retByLabel.get(`${m[1]} ${m[2]}`) ?? retentionRest(m[1], "fully_preserved");
out.push(`${label} ${rest}`.trimEnd());
}
el.retention.value = out.join("\n");
}
/** Re-serialize both fields with sequential per-type indices (closes gaps). */
function normalize() {
serializeItems(parseItems());
}
/**
* @param {{ subjectDefs?:string, retention?:string,
* onApply:(v:{subjectDefs:string,retention:string})=>void }} opts
*/
function openGlobalsAi({ subjectDefs = "", retention = "", onApply }) {
if (!isLlmOnline()) {
toast("AI not connected — check AI settings.", "warn");
return;
}
applyFn = onApply;
el.subjects.value = subjectDefs;
el.retention.value = retention;
populateTemplateSelect();
el.imageInput.value = "";
el.addBtn.disabled = true;
renderList();
setStatus("", "");
el.root.hidden = false;
}
function close() {
abortInflight();
el.root.hidden = true;
}
function populateTemplateSelect() {
el.template.textContent = "";
for (const t of listTemplates(SUBJECT_PURPOSE)) {
const o = document.createElement("option");
o.value = t.id;
o.textContent = t.name;
el.template.appendChild(o);
}
el.template.value = getSelectedTemplateId(SUBJECT_PURPOSE);
}
// ---------------------------------------------------------------------------
// Items <-> text (the textareas are the source of truth)
// ---------------------------------------------------------------------------
/** Parse the textareas into items: subject lines drive them, retention matched by label. */
function parseItems() {
const retByLabel = new Map();
for (const line of el.retention.value.split("\n")) {
const m = line.match(LABEL_RE);
if (m) retByLabel.set(`${m[1]} ${m[2]}`, m[3]);
}
const items = [];
for (const line of el.subjects.value.split("\n")) {
const m = line.match(LABEL_RE);
if (!m) continue; // non-conforming lines aren't managed by the list
const type = m[1];
const rest = retByLabel.get(`${m[1]} ${m[2]}`);
items.push({
type,
subjectBody: m[3],
retentionRest: rest != null ? rest : retentionRest(type, "fully_preserved"),
});
}
return items;
}
/** Write items back to both textareas with sequential per-type indices. */
function serializeItems(items) {
const counts = { Subject: 0, Picture: 0 };
const subj = [];
const ret = [];
for (const it of items) {
counts[it.type] += 1;
const label = `<${it.type} ${counts[it.type]}>`;
subj.push(`${label} ${it.subjectBody}`.trimEnd());
ret.push(`${label} ${it.retentionRest}`.trimEnd());
}
el.subjects.value = subj.join("\n");
el.retention.value = ret.join("\n");
renderList();
}
function retentionRest(type, marker) {
const loc = type === "Subject" ? "(appears in [Shot 1])" : "([Shot 1] first frame)";
return `${loc}: ${marker} - TODO`;
}
// ---------------------------------------------------------------------------
// List UI
// ---------------------------------------------------------------------------
function renderList() {
const items = parseItems();
el.list.textContent = "";
el.listEmpty.hidden = items.length > 0;
const counts = { Subject: 0, Picture: 0 };
items.forEach((it, i) => {
counts[it.type] += 1;
const label = `<${it.type} ${counts[it.type]}>`;
const row = document.createElement("div");
row.className = "gen-item";
const up = mkMini("↑", "Move up", () => move(i, -1));
up.disabled = i === 0;
const down = mkMini("↓", "Move down", () => move(i, 1));
down.disabled = i === items.length - 1;
const lab = document.createElement("span");
lab.className = "gen-item-label";
lab.textContent = label;
const preview = document.createElement("span");
preview.className = "gen-item-preview";
preview.textContent = it.subjectBody;
preview.title = it.subjectBody;
const del = mkMini("✕", "Remove", () => remove(i));
del.classList.add("danger");
row.append(up, down, lab, preview, del);
el.list.appendChild(row);
});
updateNextLabel(items);
}
function mkMini(text, title, onClick) {
const b = document.createElement("button");
b.type = "button";
b.className = "btn gen-item-btn";
b.textContent = text;
b.title = title;
b.addEventListener("click", onClick);
return b;
}
function remove(i) {
const items = parseItems();
items.splice(i, 1);
serializeItems(items);
}
function move(i, dir) {
const items = parseItems();
const to = i + dir;
if (to < 0 || to >= items.length) return;
[items[i], items[to]] = [items[to], items[i]];
serializeItems(items);
}
function updateNextLabel(items = parseItems()) {
const type = el.labelType.value;
const n = items.filter((it) => it.type === type).length + 1;
el.nextLabel.textContent = `<${type} ${n}>`;
}
// ---------------------------------------------------------------------------
// Add a reference (image -> subject line via LLM, + deterministic retention)
// ---------------------------------------------------------------------------
async function addReference() {
const file = el.imageInput.files[0];
if (!file) {
setStatus("Choose an image first.", "warn");
return;
}
const type = el.labelType.value;
const marker = el.marker.value;
const label = el.nextLabel.textContent; // for the model's phrasing only
abortInflight();
const ctrl = new AbortController();
inflight = ctrl;
const timer = setTimeout(() => ctrl.abort(), GEN_TIMEOUT_MS);
setBusy(true);
setStatus(`Generating ${label}…`, "");
try {
const dataUrl = await fileToDataUrl(file);
const tid = el.template.value || getSelectedTemplateId(SUBJECT_PURPOSE);
const system = getTemplateValue(SUBJECT_PURPOSE, tid, "system");
const user = getTemplateValue(SUBJECT_PURPOSE, tid, "user");
const text = await chat(
[
{ role: "system", content: system },
{
role: "user",
content: [
{
type: "text",
text: `${user}\n\nTarget label: ${label}. Output exactly one line starting with "${label} is ".`,
},
{ type: "image_url", image_url: { url: dataUrl } },
],
},
],
{ signal: ctrl.signal, model: getTemplateModel(SUBJECT_PURPOSE, tid) }
);
const body = text
.trim()
.replace(/\r?\n+/g, " ")
.replace(LABEL_RE, "$3"); // strip any label the model included
if (!body) {
setStatus("The model returned an empty response.", "warn");
return;
}
const items = parseItems();
items.push({ type, subjectBody: body, retentionRest: retentionRest(type, marker) });
serializeItems(items); // re-indexes everything and re-renders the list
el.imageInput.value = "";
el.addBtn.disabled = true;
setStatus("Added.", "ok");
} catch (err) {
setStatus(err.message, "error");
} finally {
clearTimeout(timer);
inflight = null;
setBusy(false);
}
}
function accept() {
applyFn?.({ subjectDefs: el.subjects.value, retention: el.retention.value });
toast("Globals applied — review and save.");
close();
}
function abortInflight() {
if (inflight) {
inflight.abort();
inflight = null;
}
}
function setBusy(busy) {
el.stopBtn.hidden = !busy;
el.addBtn.disabled = busy || el.imageInput.files.length === 0;
el.labelType.disabled = busy;
el.marker.disabled = busy;
el.template.disabled = busy;
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
function fileToDataUrl(file) {
return new Promise((resolve, reject) => {
const r = new FileReader();
r.onload = () => resolve(r.result);
r.onerror = () => reject(r.error || new Error("read failed"));
r.readAsDataURL(file);
});
}
exports.RELATIONSHIP_MARKERS = RELATIONSHIP_MARKERS;
exports.initGlobalsAi = initGlobalsAi;
exports.openGlobalsAi = openGlobalsAi;
});
register("js/review-ai.js", function (module, exports, require) {
const { chat } = require("js/llm/llm-client.js");
const { isLlmOnline } = require("js/llm/llm-config.js");
const { listTemplates, getSelectedTemplateId, setSelectedTemplate, getTemplateValue, getTemplateModel } = require("js/llm/llm-prompts.js");
const { toast } = require("js/toast.js");
/**
* "Review with AI" for the Prompt Library MiniMax H3 Ref2VA type. One modal,
* two modes selected by the caller:
*
* - WHOLE PROMPT (advisory): the shared subject_definitions plus, per scene, its
* summary and detailed_description, so the model spots cross-scene consistency
* problems. Read-only report — nothing is applied. (purpose only, no rewrite.)
*
* - ONE SCENE (advisory + apply): the current scene plus its neighbors and the
* globals, reviewed for consistency; then "Apply suggestions" makes a SECOND
* call that rewrites the scene implementing the notes, shown for confirmation
* before "Accept into scene" applies it. Enabled by passing `rewrite`.
*
* The caller assembles the context and, for scene mode, owns parse+apply through
* `rewrite.onApply` — this module stays free of domain parsing (mirrors the way
* text-ai.js hands the raw result back).
*/
const $ = (id) => document.getElementById(id);
const DEFAULT_PURPOSE = "library.h3.review";
const GEN_TIMEOUT_MS = 180000; // reviews (and rewrites) can be long
let el;
/**
* @type {{ purpose?:string, title?:string, contextLabel?:string, context?:string,
* rewrite?:{ purpose:string, instruction:string, acceptLabel?:string,
* validate?:(t:string)=>boolean, onApply:(t:string)=>void } } | null}
*/
let cfg = null;
/** The assembled context sent with every review turn (set on open). */
let contextText = "";
/** @type {AbortController|null} */
let inflight = null;
/** Review conversation so far (null before the first review). Refine appends turns. */
let history = null;
/** True once a review result exists (gates "Apply suggestions"). */
let hasReview = false;
function reviewPurpose() {
return (cfg && cfg.purpose) || DEFAULT_PURPOSE;
}
function initReviewAi() {
el = {
root: $("reviewModal"),
title: $("reviewTitle"),
closeBtn: $("reviewCloseBtn"),
template: $("reviewTemplate"),
system: $("reviewSystem"),
user: $("reviewUser"),
contextLabel: $("reviewContextLabel"),
context: $("reviewContext"),
runBtn: $("reviewRunBtn"),
refineBtn: $("reviewRefineBtn"),
stopBtn: $("reviewStopBtn"),
status: $("reviewStatus"),
result: $("reviewResult"),
applyBtn: $("reviewApplyBtn"),
copyBtn: $("reviewCopyBtn"),
rewriteWrap: $("reviewRewriteWrap"),
rewrite: $("reviewRewrite"),
acceptRow: $("reviewAcceptRow"),
acceptBtn: $("reviewAcceptBtn"),
};
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
el.template.addEventListener("change", onTemplateChange);
el.runBtn.addEventListener("click", run);
el.refineBtn.addEventListener("click", refine);
el.stopBtn.addEventListener("click", abortInflight);
el.result.addEventListener("input", syncCopy);
el.copyBtn.addEventListener("click", copy);
el.applyBtn.addEventListener("click", applySuggestions);
el.rewrite.addEventListener("input", () => syncAccept());
el.acceptBtn.addEventListener("click", accept);
}
/**
* @param {{ purpose?:string, title?:string, contextLabel?:string, context:string,
* rewrite?:{ purpose:string, instruction:string, acceptLabel?:string,
* validate?:(t:string)=>boolean, onApply:(t:string)=>void } }} opts
*/
function openReviewAi(opts) {
if (!isLlmOnline()) {
toast("AI not connected — check AI settings.", "warn");
return;
}
cfg = opts;
el.title.textContent = opts.title || "Review prompt with AI";
el.contextLabel.textContent = opts.contextLabel || "Prompt under review (read-only)";
contextText = (opts.context || "").trim();
el.context.value = contextText;
populateTemplateSelect();
const sel = getSelectedTemplateId(reviewPurpose());
el.template.value = sel;
applyTemplate(sel);
history = null; // fresh session
hasReview = false;
el.result.value = "";
el.rewrite.value = "";
el.runBtn.textContent = "Review";
el.refineBtn.hidden = true; // appears after the first review
const sceneMode = !!opts.rewrite;
el.applyBtn.hidden = !sceneMode; // only scene mode can implement suggestions
el.acceptBtn.textContent = (opts.rewrite && opts.rewrite.acceptLabel) || "Accept into scene";
el.rewriteWrap.hidden = true; // revealed once a corrected scene is produced
el.acceptRow.hidden = true;
setBusy(false);
setStatus("Ready.", "");
el.root.hidden = false;
el.user.focus();
}
function close() {
abortInflight();
el.root.hidden = true;
}
function populateTemplateSelect() {
el.template.textContent = "";
for (const t of listTemplates(reviewPurpose())) {
const o = document.createElement("option");
o.value = t.id;
o.textContent = t.name;
el.template.appendChild(o);
}
}
function applyTemplate(id) {
el.system.value = getTemplateValue(reviewPurpose(), id, "system");
el.user.value = getTemplateValue(reviewPurpose(), id, "user");
}
function onTemplateChange() {
applyTemplate(el.template.value);
setSelectedTemplate(reviewPurpose(), el.template.value);
}
/**
* Low-level chat call shared by review, refine and rewrite. Owns the inflight/
* timeout/busy plumbing; returns the assistant text, or null on error/abort.
*/
async function callModel(messages, model, verb) {
abortInflight();
const ctrl = new AbortController();
inflight = ctrl;
const timer = setTimeout(() => ctrl.abort(), GEN_TIMEOUT_MS);
setBusy(true);
setStatus(verb, "");
try {
const text = await chat(messages, { signal: ctrl.signal, model });
return (text || "").trim();
} catch (err) {
setStatus(err.message, "error");
return null;
} finally {
clearTimeout(timer);
inflight = null;
setBusy(false);
}
}
/** First-turn review messages: system + (context, then the brief LAST). */
function buildReviewMessages() {
const parts = [];
if (contextText) parts.push(`UNDER REVIEW:\n${contextText}`);
if (el.user.value.trim()) parts.push(`TASK (do this now):\n${el.user.value.trim()}`);
const messages = [];
if (el.system.value.trim()) messages.push({ role: "system", content: el.system.value });
messages.push({ role: "user", content: parts.join("\n\n") || el.user.value });
return messages;
}
/** Once a review exists, reveal Refine, relabel the primary button, allow Apply. */
function afterReviewed() {
el.runBtn.textContent = "Re-review";
el.refineBtn.hidden = false;
}
/** Store the completed review result and status. */
function setReviewResult(text) {
el.result.value = text;
setStatus(
text ? "Done." : "The model returned an empty response.",
text ? "ok" : "warn"
);
hasReview = true;
syncButtons();
}
/** Fresh review: rebuild from the fields + context, discarding any prior turns. */
async function run() {
const messages = buildReviewMessages();
const text = await callModel(messages, getTemplateModel(reviewPurpose(), el.template.value), "Reviewing…");
if (text == null) return;
setReviewResult(text);
history = [...messages, { role: "assistant", content: text }];
afterReviewed();
}
/** Refine: keep the conversation and send the current user prompt as a new turn. */
async function refine() {
if (!history) return run();
const base = history.slice();
if (base.length && base[base.length - 1].role === "assistant") {
base[base.length - 1] = { role: "assistant", content: el.result.value };
}
const instruction = el.user.value.trim() || "Refine the previous review.";
const messages = [...base, { role: "user", content: instruction }];
const text = await callModel(messages, getTemplateModel(reviewPurpose(), el.template.value), "Reviewing…");
if (text == null) return;
setReviewResult(text);
history = [...messages, { role: "assistant", content: text }];
afterReviewed();
}
/**
* Scene mode only: a SECOND call that rewrites the scene implementing the review
* notes. Uses the rewrite purpose's own system (canonical scene format) rather
* than the reviewer's, and hands the result to the "Corrected scene" field for
* confirmation. Nothing is applied until Accept.
*/
async function applySuggestions() {
if (!cfg || !cfg.rewrite || !hasReview) return;
const rp = cfg.rewrite.purpose;
const tid = getSelectedTemplateId(rp);
const system = getTemplateValue(rp, tid, "system");
const parts = [];
if (contextText) parts.push(contextText);
if (el.result.value.trim()) parts.push(`REVIEW NOTES (apply these fixes):\n${el.result.value.trim()}`);
parts.push(cfg.rewrite.instruction);
const messages = [];
if (system.trim()) messages.push({ role: "system", content: system });
messages.push({ role: "user", content: parts.join("\n\n") });
const text = await callModel(messages, getTemplateModel(rp, tid), "Applying suggestions…");
if (text == null) return;
el.rewrite.value = text;
el.rewriteWrap.hidden = false;
el.acceptRow.hidden = false;
setStatus(
text ? "Corrected scene ready — review it, then Accept." : "The model returned an empty response.",
text ? "ok" : "warn"
);
syncButtons();
el.rewrite.scrollIntoView?.({ block: "nearest" });
}
function accept() {
const text = el.rewrite.value;
if (!text.trim() || !cfg || !cfg.rewrite) return;
cfg.rewrite.onApply?.(text);
close();
}
async function copy() {
try {
await navigator.clipboard.writeText(el.result.value);
toast("Review copied.");
} catch {
toast("Clipboard blocked by the browser.", "warn");
}
}
function abortInflight() {
if (inflight) {
inflight.abort();
inflight = null;
}
}
function setBusy(busy) {
el.stopBtn.hidden = !busy;
el.runBtn.disabled = busy;
el.refineBtn.disabled = busy;
syncButtons(busy);
}
/** Reconcile Apply / Accept / Copy with the current mode and state. */
function syncButtons(busy = false) {
const sceneMode = !!(cfg && cfg.rewrite);
el.applyBtn.disabled = busy || !sceneMode || !hasReview;
syncAccept(busy);
syncCopy();
}
function syncAccept(busy = false) {
const sceneMode = !!(cfg && cfg.rewrite);
const text = el.rewrite.value;
const valid =
sceneMode &&
text.trim().length > 0 &&
(!cfg.rewrite.validate || cfg.rewrite.validate(text));
el.acceptBtn.disabled = busy || !valid;
}
function syncCopy() {
el.copyBtn.disabled = el.result.value.trim().length === 0;
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
exports.initReviewAi = initReviewAi;
exports.openReviewAi = openReviewAi;
});
register("js/llm/llm-settings.js", function (module, exports, require) {
const { llmConfig, saveLlmConfig, DEFAULT_LLM_CONFIG, isLlmConfigured, setLlmStatus } = require("js/llm/llm-config.js");
const { listModels, testConnection } = require("js/llm/llm-client.js");
const { openPromptTemplates } = require("js/llm/llm-prompt-templates.js");
const { toast } = require("js/toast.js");
/**
* The global "AI settings" dialog: edits the app-wide `llmConfig` (base URL,
* model, API key, temperature). Opened from the top nav; every feature that uses
* the LLM relies on what is configured here.
*/
const $ = (id) => document.getElementById(id);
let el;
/** How long a probe may run before we abort it and report a timeout. */
const TEST_TIMEOUT_MS = 15000; // explicit Test / Refresh (user is waiting)
const STATUS_TIMEOUT_MS = 8000; // background nav indicator
/** An AbortSignal that fires after `ms`; call clear() when the work is done. */
function timeoutSignal(ms) {
const ctrl = new AbortController();
const timer = setTimeout(() => ctrl.abort(), ms);
return { signal: ctrl.signal, clear: () => clearTimeout(timer) };
}
function initLlmSettings() {
el = {
root: $("llmModal"),
closeBtn: $("llmCloseBtn"),
baseUrl: $("llmBaseUrl"),
model: $("llmModel"),
modelList: $("llmModelList"),
apiKey: $("llmApiKey"),
temperature: $("llmTemperature"),
independent: $("llmIndependent"),
refreshBtn: $("llmRefreshBtn"),
testBtn: $("llmTestBtn"),
status: $("llmStatus"),
templatesBtn: $("llmTemplatesBtn"),
saveBtn: $("llmSaveBtn"),
};
el.closeBtn.addEventListener("click", closeLlmSettings);
el.root.querySelector(".modal-backdrop").addEventListener("click", closeLlmSettings);
document.addEventListener("keydown", (ev) => {
if (el.root.hidden || ev.key !== "Escape") return;
// The templates manager opens on top of this dialog; let it handle Escape.
const templates = $("promptTemplatesModal");
if (templates && !templates.hidden) return;
ev.preventDefault();
closeLlmSettings();
});
el.refreshBtn.addEventListener("click", refreshModels);
el.testBtn.addEventListener("click", test);
el.templatesBtn.addEventListener("click", openPromptTemplates);
el.saveBtn.addEventListener("click", save);
}
function openLlmSettings() {
populate();
el.root.hidden = false;
el.baseUrl.focus();
}
function closeLlmSettings() {
el.root.hidden = true;
}
/** Reflect the current config into the form fields. */
function populate() {
el.baseUrl.value = llmConfig.baseUrl || DEFAULT_LLM_CONFIG.baseUrl;
el.model.value = llmConfig.model || "";
el.apiKey.value = llmConfig.apiKey || "";
el.temperature.value =
llmConfig.temperature ?? DEFAULT_LLM_CONFIG.temperature;
el.independent.checked = llmConfig.independentContext !== false;
setStatus("", "");
}
/** Read the form into a config patch (base URL is normalized on save). */
function readForm() {
const t = parseFloat(el.temperature.value);
return {
baseUrl: el.baseUrl.value,
model: el.model.value.trim(),
apiKey: el.apiKey.value,
temperature: Number.isFinite(t) ? t : DEFAULT_LLM_CONFIG.temperature,
independentContext: el.independent.checked,
};
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
/** Fill the model datalist from the endpoint, using the URL/key in the form. */
function fillModelList(models) {
el.modelList.textContent = "";
for (const id of models) {
const opt = document.createElement("option");
opt.value = id;
el.modelList.appendChild(opt);
}
}
async function refreshModels() {
await withFormApplied(async () => {
setStatus("Loading models…", "");
const t = timeoutSignal(TEST_TIMEOUT_MS);
try {
const models = await listModels({ signal: t.signal });
fillModelList(models);
if (!el.model.value && models.length) el.model.value = models[0];
setStatus(
models.length ? `Found ${models.length} model(s).` : "No models loaded.",
models.length ? "ok" : "warn"
);
} catch (err) {
setStatus(err.message, "error");
} finally {
t.clear();
}
});
}
async function test() {
await withFormApplied(async () => {
setStatus("Testing…", "");
const t = timeoutSignal(TEST_TIMEOUT_MS);
const r = await testConnection({ signal: t.signal });
t.clear();
setStatus(r.message, r.ok ? "ok" : "error");
if (r.ok && r.models.length) fillModelList(r.models);
});
}
async function save() {
await saveLlmConfig(readForm());
toast("AI settings saved.");
closeLlmSettings();
refreshLlmStatus(); // re-probe so the nav indicator reflects the new config
}
/**
* Update the nav "AI settings" status dot to reflect the SAVED config:
* grey = not configured, amber = configured but unreachable / checking,
* green = connected (verified). Safe to call fire-and-forget.
*/
async function refreshLlmStatus() {
const dot = $("llmStatusDot");
const btn = $("llmSettingsBtn");
if (!isLlmConfigured()) {
apply(dot, btn, "off", "AI not configured — click to set it up");
return;
}
apply(dot, btn, "checking", "Checking AI connection…");
const t = timeoutSignal(STATUS_TIMEOUT_MS);
const r = await testConnection({ signal: t.signal });
t.clear();
apply(
dot,
btn,
r.ok ? "on" : "warn",
r.ok
? `AI connected — ${llmConfig.model} @ ${llmConfig.baseUrl}`
: `AI configured but unreachable: ${r.message}`
);
}
/** Update the nav dot + tooltip and broadcast the status to feature listeners. */
function apply(dot, btn, state, title) {
if (dot) dot.className = "llm-dot llm-dot-" + state;
if (btn) btn.title = title;
setLlmStatus(state);
}
/**
* Refresh/Test must use the URL and key the user is currently typing, not just
* the last saved values. Apply the form to `llmConfig` for the duration of the
* probe, then restore the saved state so nothing is persisted until Save.
*/
async function withFormApplied(fn) {
const snapshot = { ...llmConfig };
Object.assign(llmConfig, readForm());
try {
await fn();
} finally {
Object.assign(llmConfig, snapshot);
}
}
exports.initLlmSettings = initLlmSettings;
exports.openLlmSettings = openLlmSettings;
exports.refreshLlmStatus = refreshLlmStatus;
});
register("js/llm/llm-prompt-templates.js", function (module, exports, require) {
const { PURPOSE_DEFS, DEFAULT_TEMPLATE_ID, getPurpose, promptTree, llmTemplates, saveLlmTemplates } = require("js/llm/llm-prompts.js");
const { listModels } = require("js/llm/llm-client.js");
const { toast } = require("js/toast.js");
/**
* Full-screen "Prompt templates" manager.
*
* Sidebar = purposes (grouped: Image prompts, later Scene / Field prompts).
* Pane = for the active purpose: a template picker (built-in Default + your
* named templates) with New / Duplicate / Delete, then the editable fields.
* The Default is read-only; duplicate it to customize.
*
* All edits happen on a local `draft` (a deep copy of the store) so switching
* purposes/templates never loses changes; Save commits the whole draft.
*/
const $ = (id) => document.getElementById(id);
const uid = () => "t_" + Math.random().toString(36).slice(2, 9);
let el;
/** @type {Record<string, {selected:string, templates:any[]}>} */
let draft = {};
let activePurpose = null;
/** Id of the template currently shown in the editor. */
let viewingId = DEFAULT_TEMPLATE_ID;
function initPromptTemplates() {
el = {
root: $("promptTemplatesModal"),
sidebar: $("ptSidebar"),
pane: $("ptPane"),
modelList: $("ptModelList"),
saveBtn: $("ptSaveBtn"),
closeBtn: $("ptCloseBtn"),
};
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
el.saveBtn.addEventListener("click", save);
}
function openPromptTemplates() {
draft = JSON.parse(JSON.stringify(llmTemplates));
for (const p of PURPOSE_DEFS) {
if (!draft[p.id]) draft[p.id] = { selected: DEFAULT_TEMPLATE_ID, templates: [], defaultModel: "" };
if (!Array.isArray(draft[p.id].templates)) draft[p.id].templates = [];
if (typeof draft[p.id].defaultModel !== "string") draft[p.id].defaultModel = "";
}
activePurpose = PURPOSE_DEFS[0]?.id || null;
viewingId = DEFAULT_TEMPLATE_ID;
renderSidebar();
renderPane();
el.root.hidden = false;
loadModelSuggestions(); // best-effort, fills the per-template model datalist
}
/** Populate the model datalist from the server (best-effort; ignored on error). */
async function loadModelSuggestions() {
try {
const models = await listModels();
el.modelList.textContent = "";
for (const id of models) {
const o = document.createElement("option");
o.value = id;
el.modelList.appendChild(o);
}
} catch {
/* offline / no server — the model field still works as free text */
}
}
function close() {
el.root.hidden = true;
}
function renderSidebar() {
el.sidebar.textContent = "";
for (const { area, groups } of promptTree()) {
const areaEl = document.createElement("div");
areaEl.className = "pt-area-title";
areaEl.textContent = area;
el.sidebar.appendChild(areaEl);
for (const g of groups) {
if (g.label) {
const typeEl = document.createElement("div");
typeEl.className = "pt-type-title";
typeEl.textContent = g.label;
el.sidebar.appendChild(typeEl);
}
for (const p of g.purposes) {
const item = document.createElement("button");
item.type = "button";
item.className =
"pt-sidebar-item" +
(p.id === activePurpose ? " active" : "") +
(g.label ? " pt-nested" : "");
item.textContent = p.label;
item.addEventListener("click", () => {
activePurpose = p.id;
viewingId = DEFAULT_TEMPLATE_ID;
renderSidebar();
renderPane();
});
el.sidebar.appendChild(item);
}
}
}
}
/** The template object being viewed (a real draft ref for user templates). */
function viewing() {
const purpose = getPurpose(activePurpose);
if (viewingId === DEFAULT_TEMPLATE_ID) {
return { id: DEFAULT_TEMPLATE_ID, name: "Default", values: { ...purpose.default }, builtin: true };
}
return draft[activePurpose].templates.find((t) => t.id === viewingId) || null;
}
function mkBtn(text, onClick, opts = {}) {
const b = document.createElement("button");
b.type = "button";
b.className = "btn" + (opts.className ? " " + opts.className : "");
b.textContent = text;
if (opts.disabled) b.disabled = true;
b.addEventListener("click", onClick);
return b;
}
function renderPane() {
el.pane.textContent = "";
const purpose = getPurpose(activePurpose);
if (!purpose) return;
const title = document.createElement("div");
title.className = "pt-purpose-title";
title.textContent = purpose.label;
const desc = document.createElement("p");
desc.className = "scene-hint";
desc.textContent = purpose.description || "";
el.pane.append(title, desc);
// Template picker + actions.
const bar = document.createElement("div");
bar.className = "pt-tpl-bar";
const label = document.createElement("span");
label.className = "llm-label";
label.textContent = "Template";
const select = document.createElement("select");
select.className = "llm-input";
const list = [
{ id: DEFAULT_TEMPLATE_ID, name: "Default" },
...draft[activePurpose].templates,
];
for (const t of list) {
const opt = document.createElement("option");
opt.value = t.id;
opt.textContent = t.name;
select.appendChild(opt);
}
select.value = viewingId;
select.addEventListener("change", () => {
viewingId = select.value;
renderPane();
});
const newBtn = mkBtn("+ New", () => {
const id = uid();
draft[activePurpose].templates.push({
id,
name: "New template",
values: { ...purpose.default },
model: "",
});
viewingId = id;
renderPane();
});
const dupBtn = mkBtn("Duplicate", () => {
const cur = viewing();
const id = uid();
draft[activePurpose].templates.push({
id,
name: "Copy of " + cur.name,
values: { ...cur.values },
model: cur.model || "",
});
viewingId = id;
renderPane();
});
const delBtn = mkBtn(
"Delete",
() => {
if (viewingId === DEFAULT_TEMPLATE_ID) return;
if (!window.confirm("Delete this template?")) return;
const s = draft[activePurpose];
s.templates = s.templates.filter((t) => t.id !== viewingId);
if (s.selected === viewingId) s.selected = DEFAULT_TEMPLATE_ID;
viewingId = DEFAULT_TEMPLATE_ID;
renderPane();
},
{ className: "danger", disabled: viewingId === DEFAULT_TEMPLATE_ID }
);
bar.append(label, select, newBtn, dupBtn, delBtn);
el.pane.append(bar);
const cur = viewing();
const builtin = !!cur.builtin;
if (builtin) {
const note = document.createElement("p");
note.className = "scene-hint";
note.textContent =
"Built-in default — its prompts are read-only, but you can set its Model below (no need to duplicate).";
el.pane.append(note);
} else {
const nameField = document.createElement("div");
nameField.className = "pt-field";
const nlabel = document.createElement("span");
nlabel.className = "llm-label";
nlabel.textContent = "Name";
const nameInput = document.createElement("input");
nameInput.type = "text";
nameInput.className = "llm-input";
nameInput.value = cur.name;
nameInput.addEventListener("input", () => {
cur.name = nameInput.value;
const opt = [...select.options].find((o) => o.value === cur.id);
if (opt) opt.textContent = nameInput.value; // keep the picker label in sync
});
nameField.append(nlabel, nameInput);
el.pane.append(nameField);
}
// Per-template model (empty = the global model from AI settings). Editable for
// EVERY template, including the built-in Default (via its defaultModel).
const modelField = document.createElement("div");
modelField.className = "pt-field";
const mlabel = document.createElement("span");
mlabel.className = "llm-label";
mlabel.textContent = "Model";
const mdesc = document.createElement("p");
mdesc.className = "scene-hint";
mdesc.textContent =
"Leave empty to use the global model (AI settings). LM Studio loads it on demand.";
const modelInput = document.createElement("input");
modelInput.type = "text";
modelInput.className = "llm-input";
modelInput.setAttribute("list", "ptModelList");
modelInput.placeholder = "(global default)";
modelInput.value = builtin ? draft[activePurpose].defaultModel || "" : cur.model || "";
modelInput.addEventListener("input", () => {
const v = modelInput.value.trim();
if (builtin) draft[activePurpose].defaultModel = v;
else cur.model = v;
});
modelField.append(mlabel, mdesc, modelInput);
el.pane.append(modelField);
for (const f of purpose.fields) {
const field = document.createElement("div");
field.className = "pt-field";
const head = document.createElement("div");
head.className = "pt-field-head";
const flabel = document.createElement("span");
flabel.className = "llm-label";
flabel.textContent = f.label;
head.append(flabel);
const fdesc = document.createElement("p");
fdesc.className = "scene-hint";
fdesc.textContent = f.description || "";
const ta = document.createElement("textarea");
ta.className = "ai-gen-ta pt-textarea";
ta.spellcheck = false;
ta.value = cur.values[f.key] ?? purpose.default[f.key] ?? "";
if (builtin) {
ta.readOnly = true;
} else {
ta.addEventListener("input", () => {
cur.values[f.key] = ta.value;
});
}
field.append(head, fdesc, ta);
el.pane.append(field);
}
}
async function save() {
await saveLlmTemplates(draft);
toast("Prompt templates saved.");
close();
}
exports.initPromptTemplates = initPromptTemplates;
exports.openPromptTemplates = openPromptTemplates;
});
register("js/image-ai.js", function (module, exports, require) {
const { chat } = require("js/llm/llm-client.js");
const { isLlmOnline } = require("js/llm/llm-config.js");
const { listTemplates, getSelectedTemplateId, setSelectedTemplate, getTemplateValue, getTemplateModel } = require("js/llm/llm-prompts.js");
const { toast } = require("js/toast.js");
/** The prompt purpose this feature uses. */
const PURPOSE = "image.generate";
/**
* "Generate with AI" for the Image-prompts section: sends the open image plus a
* system/user prompt to a vision-capable LLM and returns a prompt the user can
* edit, retry, or accept as the image's prompt.
*
* This is a feature module: it owns the #aiGenModal and the generation flow, but
* gets the image file and applies the accepted result through callbacks so it
* stays decoupled from app.js.
*/
const $ = (id) => document.getElementById(id);
/** Abort a generation that hangs (server accepted the request but never replies). */
const GEN_TIMEOUT_MS = 120000;
let el;
/** @type {{ getFile: (entry:any)=>Promise<File>, applyPrompt: (text:string)=>void }} */
let deps;
let currentEntry = null;
let currentDataUrl = null;
/** Preview starts hidden for privacy; the image is still sent to the LLM. */
let imageShown = false;
/** @type {AbortController|null} */
let inflight = null;
/** Conversation so far (null before the first generation). Refine appends turns. */
let history = null;
function initImageAi(d) {
deps = d;
el = {
root: $("aiGenModal"),
closeBtn: $("aiGenCloseBtn"),
img: $("aiGenImg"),
toggleImgBtn: $("aiGenToggleImgBtn"),
imgName: $("aiGenImgName"),
template: $("aiGenTemplate"),
system: $("aiGenSystem"),
user: $("aiGenUser"),
runBtn: $("aiGenRunBtn"),
refineBtn: $("aiGenRefineBtn"),
stopBtn: $("aiGenStopBtn"),
status: $("aiGenStatus"),
result: $("aiGenResult"),
acceptBtn: $("aiGenAcceptBtn"),
};
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
el.runBtn.addEventListener("click", run); // "Generate", relabels to "Regenerate"
el.refineBtn.addEventListener("click", refine);
el.stopBtn.addEventListener("click", abortInflight);
el.acceptBtn.addEventListener("click", accept);
el.toggleImgBtn.addEventListener("click", toggleImage);
el.template.addEventListener("change", onTemplateChange);
el.result.addEventListener("input", () => syncButtons());
}
async function openImageAi(entry) {
if (!entry) return;
if (!isLlmOnline()) {
toast("AI not connected — check AI settings.", "warn");
return;
}
currentEntry = entry;
currentDataUrl = null;
imageShown = false; // always start hidden for privacy
// Populate the template picker (built-in Default + your saved templates),
// preselect the last-used one, and prefill the fields from it. The prompts
// stay editable per generation without changing the saved template.
populateTemplateSelect();
const sel = getSelectedTemplateId(PURPOSE);
el.template.value = sel;
applyTemplate(sel);
el.result.value = "";
history = null; // fresh session
el.runBtn.textContent = "Generate";
el.refineBtn.hidden = true;
el.imgName.textContent = entry.name;
syncImageToggle();
setBusy(false);
setStatus("Loading image…", "");
el.root.hidden = false;
try {
const file = await deps.getFile(entry);
currentDataUrl = await fileToDataUrl(file);
syncImageToggle(); // reveal now only if the user already asked to show it
setStatus("Ready.", "");
} catch (err) {
setStatus("Could not load image: " + err.message, "error");
}
syncButtons();
}
/** Fill the template <select> with Default + the user's saved templates. */
function populateTemplateSelect() {
el.template.textContent = "";
for (const t of listTemplates(PURPOSE)) {
const opt = document.createElement("option");
opt.value = t.id;
opt.textContent = t.name;
el.template.appendChild(opt);
}
}
/** Load a template's field values into the editable prompt fields. */
function applyTemplate(templateId) {
el.system.value = getTemplateValue(PURPOSE, templateId, "system");
el.user.value = getTemplateValue(PURPOSE, templateId, "user");
}
/** Picking a template fills the fields and is remembered for next time. */
function onTemplateChange() {
applyTemplate(el.template.value);
setSelectedTemplate(PURPOSE, el.template.value);
}
function toggleImage() {
imageShown = !imageShown;
syncImageToggle();
}
/** Reflect `imageShown` into the preview; keeps pixels out of the DOM when hidden. */
function syncImageToggle() {
el.toggleImgBtn.textContent = imageShown ? "Hide image" : "Show image";
if (imageShown && currentDataUrl) {
el.img.src = currentDataUrl;
el.img.hidden = false;
} else {
el.img.removeAttribute("src");
el.img.hidden = true;
}
}
function close() {
abortInflight();
imageShown = false;
el.img.removeAttribute("src"); // drop the pixels from the DOM
el.root.hidden = true;
}
/** First-turn messages: system + the user prompt with the image attached. */
function buildFreshMessages() {
return [
{ role: "system", content: el.system.value },
{
role: "user",
content: [
{ type: "text", text: el.user.value },
{ type: "image_url", image_url: { url: currentDataUrl } },
],
},
];
}
/** Send a message list; sets the result and returns the assistant text (null on error). */
async function send(messages) {
abortInflight();
const ctrl = new AbortController();
inflight = ctrl;
const timer = setTimeout(() => ctrl.abort(), GEN_TIMEOUT_MS);
setBusy(true);
setStatus("Generating…", "");
try {
const text = await chat(messages, {
signal: ctrl.signal,
model: getTemplateModel(PURPOSE, el.template.value),
});
el.result.value = text.trim();
setStatus(
el.result.value ? "Done." : "The model returned an empty response.",
el.result.value ? "ok" : "warn"
);
return el.result.value;
} catch (err) {
setStatus(err.message, "error");
return null;
} finally {
clearTimeout(timer);
inflight = null;
setBusy(false);
}
}
function afterGenerated() {
el.runBtn.textContent = "Regenerate";
el.refineBtn.hidden = false;
}
/** Fresh generation from the image + fields (discards any prior conversation). */
async function run() {
if (!currentDataUrl) {
setStatus("Image not loaded yet.", "warn");
return;
}
const messages = buildFreshMessages();
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
afterGenerated();
}
}
/** Refine: keep the conversation (incl. the image turn) and send the user prompt anew. */
async function refine() {
if (!history) return run();
const base = history.slice();
if (base.length && base[base.length - 1].role === "assistant") {
base[base.length - 1] = { role: "assistant", content: el.result.value };
}
const instruction = el.user.value.trim() || "Refine the previous result.";
const messages = [...base, { role: "user", content: instruction }];
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
afterGenerated();
}
}
function accept() {
const text = el.result.value;
if (!text.trim()) return;
deps.applyPrompt(text);
toast("Prompt applied — review and save.");
close();
}
function abortInflight() {
if (inflight) {
inflight.abort();
inflight = null;
}
}
/** Enable/disable controls for the generating vs idle states. */
function setBusy(busy) {
el.stopBtn.hidden = !busy;
el.refineBtn.disabled = busy;
syncButtons(busy);
}
/** Generate needs a loaded image; Accept needs a (non-empty) result; neither while busy. */
function syncButtons(busy = false) {
const hasResult = el.result.value.trim().length > 0;
el.runBtn.disabled = busy || !currentDataUrl;
el.acceptBtn.disabled = busy || !hasResult;
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
function fileToDataUrl(file) {
return new Promise((resolve, reject) => {
const r = new FileReader();
r.onload = () => resolve(r.result);
r.onerror = () => reject(r.error || new Error("read failed"));
r.readAsDataURL(file);
});
}
exports.initImageAi = initImageAi;
exports.openImageAi = openImageAi;
});
register("js/ask-ai.js", function (module, exports, require) {
const { chat } = require("js/llm/llm-client.js");
const { isLlmOnline } = require("js/llm/llm-config.js");
const { PURPOSE_DEFS, listTemplates, getTemplateValue, getTemplateModel } = require("js/llm/llm-prompts.js");
const { toast } = require("js/toast.js");
/**
* "Ask AI" — a general-purpose LLM playground, independent of any feature flow.
* Pick any prompt template (across all purposes) to prefill, edit the system and
* user prompts, optionally attach an image, send, and read/copy the response.
* Nothing is applied anywhere; it's a scratchpad.
*/
const $ = (id) => document.getElementById(id);
const GEN_TIMEOUT_MS = 120000;
let el;
let inflight = null;
/** Conversation so far (null before the first send). Refine appends turns. */
let history = null;
function initAskAi() {
el = {
root: $("askModal"),
closeBtn: $("askCloseBtn"),
template: $("askTemplate"),
system: $("askSystem"),
user: $("askUser"),
imageInput: $("askImageInput"),
clearImgBtn: $("askClearImgBtn"),
runBtn: $("askRunBtn"),
refineBtn: $("askRefineBtn"),
stopBtn: $("askStopBtn"),
status: $("askStatus"),
result: $("askResult"),
copyBtn: $("askCopyBtn"),
};
el.closeBtn.addEventListener("click", close);
el.root.querySelector(".modal-backdrop").addEventListener("click", close);
document.addEventListener("keydown", (ev) => {
if (!el.root.hidden && ev.key === "Escape") {
ev.preventDefault();
close();
}
});
el.template.addEventListener("change", onTemplateChange);
el.imageInput.addEventListener("change", () => {
el.clearImgBtn.hidden = el.imageInput.files.length === 0;
});
el.clearImgBtn.addEventListener("click", () => {
el.imageInput.value = "";
el.clearImgBtn.hidden = true;
});
el.runBtn.addEventListener("click", run);
el.refineBtn.addEventListener("click", refine);
el.stopBtn.addEventListener("click", abortInflight);
el.result.addEventListener("input", syncCopy);
el.copyBtn.addEventListener("click", copy);
}
function openAskAi() {
populateTemplates();
history = null; // fresh session
el.refineBtn.hidden = true; // appears after the first send
setBusy(false);
setStatus("", "");
syncCopy();
el.root.hidden = false;
el.user.focus();
}
function close() {
abortInflight();
el.root.hidden = true;
}
/** Build the template picker: a Custom entry, then all templates by purpose. */
function populateTemplates() {
const prev = el.template.value;
el.template.textContent = "";
const custom = document.createElement("option");
custom.value = "";
custom.textContent = "— Custom (no template) —";
el.template.appendChild(custom);
for (const p of PURPOSE_DEFS) {
const og = document.createElement("optgroup");
og.label = `${p.area} › ${p.label}`;
for (const t of listTemplates(p.id)) {
const o = document.createElement("option");
o.value = `${p.id}::${t.id}`;
o.textContent = t.name;
og.appendChild(o);
}
el.template.appendChild(og);
}
// Keep the previous selection if it still exists.
el.template.value = [...el.template.options].some((o) => o.value === prev) ? prev : "";
}
/** Selecting a template prefills system + user; Custom leaves them as-is. */
function onTemplateChange() {
const [pid, tid] = el.template.value.split("::");
if (!pid) return;
el.system.value = getTemplateValue(pid, tid, "system");
el.user.value = getTemplateValue(pid, tid, "user");
}
/** First-turn messages: optional system + the user prompt (with image if attached). */
async function buildFreshMessages() {
const messages = [];
if (el.system.value.trim()) messages.push({ role: "system", content: el.system.value });
const file = el.imageInput.files[0];
if (file) {
const dataUrl = await fileToDataUrl(file);
messages.push({
role: "user",
content: [
{ type: "text", text: el.user.value },
{ type: "image_url", image_url: { url: dataUrl } },
],
});
} else {
messages.push({ role: "user", content: el.user.value });
}
return messages;
}
/** Send a message list; sets the result and returns the assistant text (null on error). */
async function send(messages) {
abortInflight();
const ctrl = new AbortController();
inflight = ctrl;
const timer = setTimeout(() => ctrl.abort(), GEN_TIMEOUT_MS);
setBusy(true);
setStatus("Sending…", "");
try {
const [pid, tid] = el.template.value.split("::");
const model = pid ? getTemplateModel(pid, tid) : "";
const text = await chat(messages, { signal: ctrl.signal, model });
el.result.value = text.trim();
setStatus(el.result.value ? "Done." : "Empty response.", el.result.value ? "ok" : "warn");
return el.result.value;
} catch (err) {
setStatus(err.message, "error");
return null;
} finally {
clearTimeout(timer);
inflight = null;
setBusy(false);
syncCopy();
}
}
/** Fresh send: rebuild from the fields, discarding any prior conversation. */
async function run() {
let messages;
try {
messages = await buildFreshMessages();
} catch (err) {
setStatus("Could not read image: " + err.message, "error");
return;
}
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
el.refineBtn.hidden = false;
}
}
/** Refine: keep the conversation and send the current user prompt as a new turn. */
async function refine() {
if (!history) return run();
const base = history.slice();
if (base.length && base[base.length - 1].role === "assistant") {
base[base.length - 1] = { role: "assistant", content: el.result.value };
}
const instruction = el.user.value.trim() || "Refine the previous response.";
const messages = [...base, { role: "user", content: instruction }];
const text = await send(messages);
if (text != null) {
history = [...messages, { role: "assistant", content: el.result.value }];
el.refineBtn.hidden = false;
}
}
async function copy() {
try {
await navigator.clipboard.writeText(el.result.value);
toast("Response copied.");
} catch {
toast("Clipboard blocked by the browser.", "warn");
}
}
function abortInflight() {
if (inflight) {
inflight.abort();
inflight = null;
}
}
function setBusy(busy) {
el.runBtn.disabled = busy;
el.refineBtn.disabled = busy;
el.stopBtn.hidden = !busy;
}
function syncCopy() {
el.copyBtn.disabled = el.result.value.trim().length === 0;
}
function setStatus(text, kind) {
el.status.textContent = text;
el.status.className = "llm-status" + (kind ? " " + kind : "");
}
function fileToDataUrl(file) {
return new Promise((resolve, reject) => {
const r = new FileReader();
r.onload = () => resolve(r.result);
r.onerror = () => reject(r.error || new Error("read failed"));
r.readAsDataURL(file);
});
}
exports.initAskAi = initAskAi;
exports.openAskAi = openAskAi;
});
require("js/app.js");
})();
</script>
</body>
</html>
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