Observability 1a: Per-Turn-Latenz-Trace + Latenz-Karte
voice_metrics.py: neben den rollenden Stats jetzt ein echter Per-Turn-Trace (TurnTrace + Ringpuffer der letzten 60 Turns). Balken-Stufen zeitlich disjunkt (stt · vision · hirn · gen); hirn misst ab mark_brain_start() VOR dem Hermes- Request, damit die Vision-Zeit nicht doppelt gezaehlt wird. STT (davor) und Mem0-Retrieve (Rueckruf waehrend) werden per park()/_take_* best-effort dem Turn zugeordnet (Ein-Nutzer-Geraet, kein Turn-ID noetig). Mem0 = Unter-Detail INNERHALB hirn (nicht addieren) -> ehrlich, kein Doppelzaehlen. voice.py: TurnTrace in voice_chat's gen() (commit garantiert 1x via finally, auch bei Fehler/Abbruch). STT-Endpoint parkt seine Dauer. NEU: GET /api/voice/metrics (schliesst die Luecke - selbstkritik-feed.sh curlte das, existierte nie -> 404) + GET /api/voice/trace?limit=N. memory.py: GET /api/memory?q=... (= Hermes' Mem0-Prefetch) misst + parkt die Retrieve-Zeit. Frontend: LatencyCard (gestapelte Balken je Turn, "Taeter" = groesste Stufe, Fehler-Turns rot, Tooltip mit "davon Mem0 X s"), Query useVoiceTrace, in der Zentrale unter "Stack & Telemetrie". Lokal gegen Seed-Server verifiziert: 30,3-s- Haenger -> Hirn-Balken 94% + "davon Mem0 26,1 s". Grenzen (ehrlich, als Fussnote in der Karte): Tool-Runden im Hermes-LLM-Loop haben keinen Callback an MC2 -> stecken in "Antwort". Reine Telegram-Text-Turns laufen an MC2 vorbei und erscheinen hier nicht. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Vendored
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@@ -7,8 +7,8 @@
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<link rel="manifest" href="/manifest.webmanifest" />
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<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
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<title>Mission Control 2.0</title>
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<script type="module" crossorigin src="/assets/index-DRqLCVxW.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-CWAZq_3Z.css">
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<script type="module" crossorigin src="/assets/index-Bcmk5MTW.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-Bwnys6u-.css">
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</head>
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<body>
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<div id="root"></div>
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@@ -0,0 +1,136 @@
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import { Gauge } from "lucide-react"
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import { useVoiceTrace } from "@/lib/queries"
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import type { VoiceTurn } from "@/lib/api"
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// Balken-Stufen in kanonischer Reihenfolge (zeitlich disjunkt). Mem0 ist ein Unter-Detail
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// INNERHALB von „Hirn" und wird NICHT als eigenes Segment addiert (sonst Doppelzählung).
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const SEGMENTS = [
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{ key: "stt_ms", label: "STT", color: "#f59e0b" },
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{ key: "vision_ms", label: "Sehen", color: "#a78bfa" },
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{ key: "hirn_ms", label: "Hirn", color: "#2dd4bf" },
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{ key: "gen_ms", label: "Antwort", color: "#60a5fa" },
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] as const
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const fmt = (ms: number | null | undefined): string =>
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ms == null ? "–" : `${(ms / 1000).toLocaleString("de-DE", { minimumFractionDigits: 1, maximumFractionDigits: 1 })} s`
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function ago(ts: number): string {
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const s = Math.max(0, Date.now() / 1000 - ts)
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if (s < 60) return `vor ${Math.round(s)} s`
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if (s < 3600) return `vor ${Math.round(s / 60)} min`
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return `vor ${Math.round(s / 3600)} h`
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}
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/** Summe der sichtbaren Balken-Stufen (STT gehört zur gefühlten Latenz dazu; total_ms des Backends
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* misst nur den Chat-Request ohne STT). So stimmen Balkenbreite und angezeigte Zahl immer überein. */
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function rowTotal(t: VoiceTurn): number {
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return SEGMENTS.reduce((sum, s) => sum + ((t[s.key] as number | null) ?? 0), 0)
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}
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/** Dominante Stufe eines Turns = der „Täter". */
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function culprit(t: VoiceTurn): { label: string; color: string; ms: number } | null {
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let best: { label: string; color: string; ms: number } | null = null
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for (const s of SEGMENTS) {
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const ms = t[s.key] as number | null
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if (ms != null && (best == null || ms > best.ms)) best = { label: s.label, color: s.color, ms }
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}
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return best
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}
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function TurnRow({ t, scale }: { t: VoiceTurn; scale: number }) {
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const title = SEGMENTS.map((s) => `${s.label} ${fmt(t[s.key] as number | null)}`).join(" · ")
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+ (t.mem0_ms != null ? ` (davon Mem0 ${fmt(t.mem0_ms)})` : "")
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return (
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<div className="flex items-center gap-2.5">
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<span className="w-14 shrink-0 text-right font-mono text-[10px] text-muted-foreground/60">{ago(t.ts)}</span>
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<div className="relative h-4 flex-1 overflow-hidden rounded-sm bg-muted/25" title={title}>
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<div className="absolute inset-0 flex">
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{SEGMENTS.map((s) => {
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const ms = t[s.key] as number | null
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if (!ms || ms <= 0) return null
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return (
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<div
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key={s.key}
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style={{ width: `${(ms / scale) * 100}%`, background: s.color }}
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className="h-full first:rounded-l-sm"
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/>
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)
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})}
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</div>
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{t.error && (
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<div className="absolute inset-0 flex items-center justify-center bg-rose-500/15 text-[10px] font-semibold text-rose-300">
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Fehler
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</div>
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)}
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</div>
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<span className="w-12 shrink-0 text-right font-mono text-[11px] font-semibold tabular-nums text-foreground">
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{t.error ? "–" : fmt(rowTotal(t))}
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</span>
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</div>
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)
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}
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export function LatencyCard() {
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const { data: turns } = useVoiceTrace(12)
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const list = turns ?? []
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const scale = Math.max(1, ...list.map((t) => rowTotal(t)))
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const latest = list[0]
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const lead = latest ? culprit(latest) : null
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return (
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<div className="rounded-2xl border border-border/60 bg-card/45 backdrop-blur-md p-5 shadow-lg shadow-black/15">
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<div className="mb-3 flex items-start justify-between gap-3">
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<div>
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<div className="flex items-center gap-2">
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<Gauge className="h-4.5 w-4.5 text-primary" />
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<h2 className="text-sm font-semibold uppercase tracking-wide text-foreground">Latenz je Turn</h2>
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<span className="ml-1 inline-flex items-center gap-1 text-[10px] font-medium text-muted-foreground/70">
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<span className="h-1.5 w-1.5 rounded-full bg-emerald-500 animate-pulse" /> live
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</span>
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</div>
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{latest ? (
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<div className="mt-2 flex items-baseline gap-2">
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<span className={`font-space text-3xl font-bold tracking-tight tabular-nums ${latest.error ? "text-rose-400" : "text-foreground"}`}>
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{latest.error ? "Fehler" : fmt(rowTotal(latest))}
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</span>
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<span className="text-xs text-muted-foreground">
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letzter Turn{!latest.error && lead && <> · Täter: <span style={{ color: lead.color }} className="font-semibold">{lead.label}</span> {fmt(lead.ms)}</>}
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</span>
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</div>
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) : (
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<div className="mt-2 text-xs text-muted-foreground">Noch kein Voice-Turn aufgezeichnet.</div>
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)}
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{latest && !latest.error && (
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<div className="mt-0.5 font-mono text-[11px] text-muted-foreground/70">
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{SEGMENTS.filter((s) => (latest[s.key] as number | null) != null).map((s) => `${s.label} ${fmt(latest[s.key] as number)}`).join(" · ")}
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{latest.mem0_ms != null && <span className="text-muted-foreground/50"> · davon Mem0 {fmt(latest.mem0_ms)}</span>}
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</div>
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)}
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</div>
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<div className="flex shrink-0 flex-col items-end gap-1 pt-1">
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{SEGMENTS.map((s) => (
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<div key={s.key} className="flex items-center gap-1.5">
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<span className="h-2 w-2 rounded-full" style={{ background: s.color }} />
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<span className="text-[11px] font-semibold uppercase tracking-wider text-muted-foreground">{s.label}</span>
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</div>
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))}
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</div>
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</div>
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{list.length > 0 ? (
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<div className="space-y-1.5">
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{list.map((t) => <TurnRow key={t.id} t={t} scale={scale} />)}
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</div>
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) : (
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<div className="flex h-[120px] items-center justify-center px-6 text-center text-xs text-muted-foreground">
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Sprich einmal mit Lucy — dann erscheint hier der Zeit-Wasserfall pro Turn, damit man den einen Hänger sofort sieht.
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</div>
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)}
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<div className="mt-3 border-t border-border/30 pt-2 text-[10px] leading-relaxed text-muted-foreground/70">
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„Hirn" = Zeit bis zum ersten Wort (Agent + Mem0-Suche + Modell); Tool-Runden stecken in „Antwort". Reine
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Telegram-Turns laufen an MC2 vorbei und erscheinen hier nicht.
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</div>
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</div>
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)
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}
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@@ -413,6 +413,27 @@ export interface TokenStats {
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pricing?: Record<string, { in: number; out: number }>
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}
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// Per-Turn-Latenz-Trace (GET /api/voice/trace). Balken-Stufen (zeitlich disjunkt):
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// stt · vision · hirn · gen. mem0 = Unter-Detail INNERHALB von hirn (nicht zum Balken addieren).
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export interface VoiceTurn {
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id: string
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ts: number // Epoch-Sekunden
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session: string
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kind: string
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had_images: boolean
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stt_ms: number | null
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vision_ms: number | null
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hirn_ms: number | null // Zeit bis erstes Inhalts-Token (Agent + Mem0 + LLM-TTFT)
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gen_ms: number | null // Generierung nach dem ersten Token bis Stream-Ende
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mem0_ms: number | null // Teil VON hirn (Mem0-Retrieve), best-effort
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total_ms: number
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error: string | null
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}
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export interface VoiceTraceResp {
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turns: VoiceTurn[]
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}
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export interface ModelsResp {
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models: ModelInfo[]
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running?: string[]
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@@ -23,6 +23,7 @@ import {
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type SystemStatus,
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type TokenStats,
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type UpdatesResp,
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type VoiceTraceResp,
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} from "./api"
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// Zentrale Query-Keys (eine Quelle der Wahrheit für invalidate).
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@@ -45,8 +46,18 @@ export const qk = {
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connectHealth: ["connect-health"] as const,
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memory: (q?: string, category?: string) => ["memory", q ?? "", category ?? ""] as const,
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memoryGraph: ["memory-graph"] as const,
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voiceTrace: ["voice-trace"] as const,
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}
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// Per-Turn-Latenz-Trace (letzte N Voice/Lucy-Turns mit Stufen-Breakdown).
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export const useVoiceTrace = (limit = 12, refetchInterval = 4_000) =>
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useQuery({
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queryKey: qk.voiceTrace,
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queryFn: () => api<VoiceTraceResp>(`/api/voice/trace?limit=${limit}`),
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refetchInterval,
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select: (d) => d.turns ?? [],
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})
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export const useMemoryGraph = (enabled = true) =>
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useQuery({
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queryKey: qk.memoryGraph,
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@@ -4,6 +4,7 @@ import { AgentStatusCard } from "@/components/dashboard/AgentStatusCard"
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import { MemoryInputCard } from "@/components/dashboard/MemoryInputCard"
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import { TokenPerformanceCard } from "@/components/dashboard/TokenPerformanceCard"
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import { ServicesCard } from "@/components/dashboard/ServicesCard"
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import { LatencyCard } from "@/components/dashboard/LatencyCard"
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import { ModelsCard } from "@/components/dashboard/ModelsCard"
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import { LucyHealthCard } from "@/components/dashboard/LucyHealthCard"
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@@ -34,7 +35,10 @@ export function DashboardView() {
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{/* Stack & Telemetrie */}
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<section>
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<ZoneLabel>Stack & Telemetrie</ZoneLabel>
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<ServicesCard />
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<div className="grid gap-6 lg:grid-cols-2">
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<ServicesCard />
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<LatencyCard />
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</div>
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</section>
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{/* Betrieb & Wissen */}
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