Animated agent faces driven by live run state
Each AI agent now has an expressive Companion face (AgentFace) whose animation maps to its real AgentRun state — idle, thinking (queued), working (running), review (held), done, failed — so a glance at the board or org chart reads as live status, the same way the seat-state triad reads human/open/AI. Pure CSS keyframes (no animation dependency), em-scaled across four sizes, per-agent hue derived deterministically in the indigo band, reduced-motion respected. Adds a per-team agent-activity read endpoint (latest run status per agent) and a self-contained polling hook (useAgentActivity) that merges run activity with governance holds. Wired into the board assignee chips and the org chart (a custom React Flow seat node with hidden handles so edges still connect). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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import { cn } from '@/lib/utils'
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import './agent-face.css'
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/**
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* The live state of an agent, mapped from its latest AgentRun (+ governance hold) onto an expression.
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* `idle` = nothing in flight; `thinking` = queued; `working` = running; `review` = output held in the
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* inbox; `done` = just completed & executed; `failed` = the run errored.
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*/
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export type FaceState = 'idle' | 'thinking' | 'working' | 'review' | 'done' | 'failed'
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export type FaceSize = 'sm' | 'md' | 'lg' | 'xl'
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interface AgentFaceProps {
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name?: string | null
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/** Used only to seed the per-agent hue and the accessible label — never drawn on the face. */
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monogram?: string | null
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state?: FaceState
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size?: FaceSize
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className?: string
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}
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const STATE_LABEL: Record<FaceState, string> = {
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idle: 'idle',
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thinking: 'queued',
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working: 'working',
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review: 'awaiting review',
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done: 'done',
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failed: 'failed',
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}
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/**
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* Deterministic hue in the indigo–violet band [225, 265] so every agent is distinct yet stays inside
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* the AI = indigo identity. Seeded by the agent's monogram/name so it is stable across renders and
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* needs no stored field.
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*/
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function hueFor(seed: string): number {
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let h = 0
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for (let i = 0; i < seed.length; i += 1) h = (h * 31 + seed.charCodeAt(i)) >>> 0
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return 225 + (h % 41)
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}
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/** The expressive Companion face. One component, every surface — sized by `size`, animated by `state`. */
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export function AgentFace({ name, monogram, state = 'idle', size = 'md', className }: AgentFaceProps) {
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const hue = hueFor((monogram || name || 'agent').trim().toLowerCase())
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const label = `${name ?? 'AI agent'} — ${STATE_LABEL[state]}`
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return (
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<span
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className={cn('agent-face', `af-${size}`, className)}
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data-state={state}
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style={{ ['--hue' as string]: hue }}
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role="img"
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aria-label={label}
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title={label}
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>
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<span className="af-ring" />
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<span className="af-spin" />
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<span className="af-dots" aria-hidden="true">
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<i />
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<i />
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<i />
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</span>
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<span className="af-head" />
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<span className="af-eye af-eye-l" />
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<span className="af-eye af-eye-r" />
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<span className="af-mouth" />
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</span>
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)
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}
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/*
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* The Companion agent face. One expressive face used at every size; the animation is load-bearing —
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* it maps to a real AgentRun state (queued/running/held/completed/failed) so a glance reads as live
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* status, the same way the seat-state triad reads human/open/AI. All metrics are in `em` and the size
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* classes set the root font-size, so the whole face scales from a board chip to the configurator.
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*/
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.agent-face {
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position: relative;
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display: inline-block;
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width: 6em;
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height: 6em;
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flex: none;
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line-height: 0;
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--rc: #64748b; /* state ring colour, overridden per state */
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--hue: 245;
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}
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.agent-face.af-sm { font-size: 3.3px; }
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.agent-face.af-md { font-size: 7.3px; }
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.agent-face.af-lg { font-size: 14px; }
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.agent-face.af-xl { font-size: 20px; }
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.af-head {
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position: absolute;
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inset: 0;
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border-radius: 30%;
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background: hsl(var(--hue) 62% 62%);
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animation: af-breathe 3.4s ease-in-out infinite;
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}
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.af-ring {
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position: absolute;
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inset: -0.55em;
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border-radius: 32%;
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border: 0.18em solid var(--rc);
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opacity: 0.85;
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transition: border-color 0.35s ease, opacity 0.35s ease;
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}
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.af-spin {
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position: absolute;
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inset: -0.55em;
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border-radius: 32%;
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border: 0.18em solid transparent;
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border-top-color: var(--rc);
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opacity: 0;
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}
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.af-eye {
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position: absolute;
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top: 0.42em;
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width: 0.13em;
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height: 0.13em;
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width: 0.8em;
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height: 0.8em;
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background: #fff;
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border-radius: 50%;
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animation: af-blink 4s infinite;
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}
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.af-eye-l { left: 0.27em; }
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.af-eye-r { right: 0.27em; }
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.af-mouth {
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position: absolute;
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bottom: 0.24em;
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left: 50%;
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transform: translateX(-50%);
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width: 1.15em;
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height: 0.2em;
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border-radius: 0.2em;
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background: rgba(255, 255, 255, 0.85);
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}
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.af-dots {
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position: absolute;
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top: -0.15em;
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left: 50%;
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transform: translateX(-50%);
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display: flex;
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gap: 0.22em;
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opacity: 0;
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}
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.af-dots i {
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width: 0.36em;
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height: 0.36em;
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border-radius: 50%;
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background: #6366f1;
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animation: af-bob 0.9s infinite;
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}
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.af-dots i:nth-child(2) { animation-delay: 0.15s; }
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.af-dots i:nth-child(3) { animation-delay: 0.3s; }
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/* The mouth and thinking-dots are clutter at chip size — eyes + ring carry the state there. */
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.af-sm .af-mouth,
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.af-sm .af-dots { display: none; }
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/* ---- state: ring colour ---- */
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.agent-face[data-state='idle'] { --rc: #64748b; }
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.agent-face[data-state='thinking'] { --rc: #6366f1; }
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.agent-face[data-state='working'] { --rc: #6366f1; }
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.agent-face[data-state='review'] { --rc: #f59e0b; }
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.agent-face[data-state='done'] { --rc: #14b8a6; }
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.agent-face[data-state='failed'] { --rc: #ef4444; }
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/* ---- state: expression ---- */
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.agent-face[data-state='thinking'] .af-eye { top: 0.36em; height: 0.5em; border-radius: 40%; }
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.agent-face[data-state='thinking'] .af-dots { opacity: 1; }
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.agent-face[data-state='thinking'] .af-ring { animation: af-rpulse 1.4s ease-in-out infinite; }
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.agent-face[data-state='working'] .af-eye { height: 0.92em; top: 0.4em; }
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.agent-face[data-state='working'] .af-mouth { width: 0.6em; }
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.agent-face[data-state='working'] .af-spin { opacity: 1; animation: af-spin 1.05s linear infinite; }
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.agent-face[data-state='working'] .af-ring { opacity: 0.3; }
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.agent-face[data-state='review'] .af-ring { animation: af-rpulse 1s ease-in-out infinite; }
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.agent-face[data-state='review'] .af-eye { top: 0.34em; }
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.agent-face[data-state='done'] .af-eye {
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height: 0.42em;
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border-radius: 0 0 0.8em 0.8em;
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top: 0.5em;
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}
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.agent-face[data-state='done'] .af-mouth {
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width: 1.4em;
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height: 0.62em;
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border-radius: 0 0 1.4em 1.4em;
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border-bottom: 0.2em solid #fff;
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background: transparent;
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}
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.agent-face[data-state='done'] .af-ring { animation: af-pop 0.5s ease-out; }
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.agent-face[data-state='failed'] .af-head { background: hsl(var(--hue) 14% 56%); }
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.agent-face[data-state='failed'] .af-eye { height: 0.28em; border-radius: 0.14em; top: 0.56em; background: #e6e0ef; }
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.agent-face[data-state='failed'] .af-mouth {
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width: 0.85em;
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height: 0.55em;
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border-radius: 1.4em 1.4em 0 0;
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border-top: 0.2em solid #e6e0ef;
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background: transparent;
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bottom: 0.2em;
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}
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@media (prefers-reduced-motion: reduce) {
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.af-head, .af-ring, .af-spin, .af-eye, .af-dots i { animation: none !important; }
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}
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@keyframes af-breathe { 0%, 100% { transform: scale(1); } 50% { transform: scale(1.045); } }
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@keyframes af-blink { 0%, 92%, 100% { transform: scaleY(1); } 96% { transform: scaleY(0.1); } }
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@keyframes af-spin { to { transform: rotate(360deg); } }
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@keyframes af-rpulse { 0%, 100% { opacity: 0.85; } 50% { opacity: 0.3; } }
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@keyframes af-pop { 0% { transform: scale(0.8); } 60% { transform: scale(1.12); } 100% { transform: scale(1); } }
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@keyframes af-bob { 0%, 100% { transform: translateY(0); opacity: 0.5; } 50% { transform: translateY(-0.3em); opacity: 1; } }
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