v1.12.2: live tok/s + ctx display next to status indicator
ChatThroughput renders inline beside StatusDot while streaming or tool_running. Subscribes to existing usage frames via sessionEvents. Hides when status drops to idle/error or data is older than 10s. Addresses the 2026-05-21 spike's UX gap where slow streams looked identical to dead streams — now there's a live token velocity readout that immediately distinguishes the two. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -117,6 +117,7 @@ export interface InferenceFrame {
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| 'tool_call'
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| 'tool_result'
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| 'message_complete'
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| 'usage'
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| 'messages_deleted'
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| 'session_renamed'
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| 'chat_renamed'
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@@ -145,6 +146,7 @@ export interface InferenceFrame {
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tokens_used?: number | null;
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ctx_used?: number | null;
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ctx_max?: number | null;
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completion_tokens?: number | null;
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started_at?: string | null;
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finished_at?: string | null;
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model?: string;
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@@ -444,6 +446,7 @@ async function streamCompletion(
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messages: OpenAiMessage[],
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opts: StreamOptions,
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onDelta: (content: string) => void,
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onUsage: ((prompt: number | null, completion: number | null) => void) | undefined,
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signal?: AbortSignal
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): Promise<StreamResult> {
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const body: Record<string, unknown> = {
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@@ -499,6 +502,7 @@ async function streamCompletion(
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if (typeof parsed.usage.completion_tokens === 'number') {
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completionTokens = parsed.usage.completion_tokens;
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}
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onUsage?.(promptTokens, completionTokens);
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}
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// v1.11.3: removed dead `parsed.timings.n_ctx` read. llama-server's
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// streaming completion does NOT emit n_ctx in timings (verified
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@@ -728,6 +732,34 @@ async function executeStreamPhase(
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).filter((t) => webToolsEnabled || !WEB_TOOL_NAMES.has(t.function.name));
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const effectiveTemperature = agent?.temperature;
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// v1.12.2: ctx_max lookup is cached after the first hit per model, so this
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// is a Map probe in steady state. We capture nCtx once at the top of the
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// stream so the throttled usage publish doesn't refetch each tick.
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const mctxForStream = await modelContext.getModelContext(session.model);
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const nCtxForStream = mctxForStream?.n_ctx ?? null;
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// v1.12.2: throttle live usage publishes to ~500ms. The model can land
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// dozens of usage frames per second; without a throttle the WS turns into
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// a firehose for a few KB savings on each render.
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const USAGE_THROTTLE_MS = 500;
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let lastUsageAt = 0;
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let pendingUsage: { p: number | null; c: number | null } | null = null;
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let usageTimer: NodeJS.Timeout | null = null;
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const flushUsage = () => {
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if (!pendingUsage) return;
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const { p, c } = pendingUsage;
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pendingUsage = null;
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lastUsageAt = Date.now();
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ctx.publish(sessionId, {
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type: 'usage',
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message_id: assistantMessageId,
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chat_id: chatId,
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completion_tokens: c,
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ctx_used: p,
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ctx_max: nCtxForStream,
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});
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};
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try {
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return await streamCompletion(
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ctx,
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@@ -745,6 +777,18 @@ async function executeStreamPhase(
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ctx.log.debug({ sessionId, delta }, 'inference delta');
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scheduleFlush();
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},
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(prompt, completion) => {
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pendingUsage = { p: prompt, c: completion };
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const elapsed = Date.now() - lastUsageAt;
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if (elapsed >= USAGE_THROTTLE_MS) {
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flushUsage();
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} else if (!usageTimer) {
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usageTimer = setTimeout(() => {
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usageTimer = null;
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flushUsage();
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}, USAGE_THROTTLE_MS - elapsed);
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}
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},
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signal
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);
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} finally {
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@@ -752,6 +796,10 @@ async function executeStreamPhase(
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clearTimeout(pendingFlushTimer);
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pendingFlushTimer = null;
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}
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if (usageTimer) {
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clearTimeout(usageTimer);
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usageTimer = null;
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}
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await flushPromise;
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}
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}
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@@ -1238,6 +1286,7 @@ async function runCapHitSummary(
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});
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scheduleFlush();
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},
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undefined,
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signal,
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);
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summaryOk = true;
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@@ -1499,6 +1548,7 @@ async function runDoomLoopSummary(
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});
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scheduleFlush();
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},
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undefined,
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signal,
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);
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summaryOk = true;
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@@ -332,6 +332,17 @@ export type WsFrame =
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// to the client without a refetch.
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metadata?: MessageMetadata | null;
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}
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// v1.12.2: live throughput frame, published mid-stream every ~500ms with
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// the latest token + ctx counts so ChatThroughput can render tok/s and
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// ctx_used while the model is still generating.
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| {
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type: 'usage';
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message_id: string;
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chat_id?: string;
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completion_tokens: number | null;
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ctx_used: number | null;
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ctx_max: number | null;
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}
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| { type: 'messages_deleted'; message_ids: string[]; chat_id?: string }
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| { type: 'chat_renamed'; chat_id: string; name: string }
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// v1.11: published by services/compaction.ts after the new anchored
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@@ -2,6 +2,7 @@ import { useState } from 'react';
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import { Bot, History, MessageSquare, Plus, Terminal, X } from 'lucide-react';
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import type { Chat, WorkspacePane } from '@/api/types';
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import { StatusDot } from '@/components/StatusDot';
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import { ChatThroughput } from '@/components/ChatThroughput';
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import {
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ContextMenu,
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ContextMenuContent,
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@@ -99,6 +100,7 @@ export function ChatTabBar({
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>
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<MessageSquare size={12} className="shrink-0" />
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<StatusDot chatId={chat.id} />
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<ChatThroughput chatId={chat.id} />
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{renamingId === chat.id ? (
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<input
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autoFocus
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28
apps/web/src/components/ChatThroughput.tsx
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28
apps/web/src/components/ChatThroughput.tsx
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@@ -0,0 +1,28 @@
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import { useChatStatus } from '@/hooks/useChatStatus';
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import { useChatThroughput } from '@/hooks/useChatThroughput';
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import { cn } from '@/lib/utils';
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interface Props {
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chatId: string | null | undefined;
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className?: string;
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}
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// v1.12.2: inline throughput readout. Renders next to StatusDot while the
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// chat is streaming or running a tool. Hidden in idle/error/waiting states
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// — the dot already communicates those.
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export function ChatThroughput({ chatId, className }: Props) {
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const status = useChatStatus(chatId);
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const t = useChatThroughput(chatId);
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if (!chatId || !t) return null;
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if (status !== 'streaming' && status !== 'tool_running') return null;
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const tps = t.tps != null && t.tps > 0 ? Math.round(t.tps) : null;
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const showCtx = t.ctx_used != null && t.ctx_max != null;
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if (tps === null && !showCtx) return null;
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return (
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<span className={cn('text-xs text-muted-foreground tabular-nums', className)}>
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{tps !== null && `${tps} tok/s`}
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{tps !== null && showCtx && ' · '}
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{showCtx && `${t.ctx_used!.toLocaleString()}/${t.ctx_max!.toLocaleString()}`}
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</span>
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);
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}
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@@ -13,6 +13,7 @@ import { toast } from 'sonner';
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import type { Chat, WorkspacePane } from '@/api/types';
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import { BottomSheet } from '@/components/BottomSheet';
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import { StatusDot } from '@/components/StatusDot';
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import { ChatThroughput } from '@/components/ChatThroughput';
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import {
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DropdownMenu,
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DropdownMenuContent,
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@@ -206,6 +207,7 @@ export function MobileTabSwitcher({
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>
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<span className="shrink-0 text-muted-foreground">{paneIcon(active?.kind ?? 'chat')}</span>
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<StatusDot chatId={activeChatId} />
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<ChatThroughput chatId={activeChatId} />
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<span className="truncate flex-1 text-left">{activeLabel}</span>
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<ChevronDown size={14} className="opacity-60 shrink-0" />
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</button>
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@@ -237,6 +239,7 @@ export function MobileTabSwitcher({
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>
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<span className="shrink-0 text-muted-foreground">{paneIcon(pane.kind)}</span>
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<StatusDot chatId={cid ?? null} />
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<ChatThroughput chatId={cid ?? null} />
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{renamingChatId === cid && cid ? (
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<input
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autoFocus
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106
apps/web/src/hooks/useChatThroughput.ts
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106
apps/web/src/hooks/useChatThroughput.ts
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@@ -0,0 +1,106 @@
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import { useEffect, useState } from 'react';
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// v1.12.2: live throughput stream consumer. Fed by useSessionStream when a
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// 'usage' WS frame lands. Renders next to StatusDot via ChatThroughput.
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//
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// Singleton + Set<setState> pattern mirrors useChatStatus so any component
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// can subscribe to any chatId without prop drilling.
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export interface ThroughputSample {
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tps: number | null;
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ctx_used: number | null;
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ctx_max: number | null;
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}
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interface Entry {
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ctx_used: number | null;
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ctx_max: number | null;
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completion_tokens: number | null;
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recorded_at: number;
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prev_completion_tokens: number | null;
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prev_recorded_at: number | null;
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tps: number | null;
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}
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// Stale window. After this, useChatThroughput returns null — clears the
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// indicator after the stream ends without the next inference turn.
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const STALE_MS = 10_000;
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const entries = new Map<string, Entry>();
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const subscribers = new Set<() => void>();
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function notify(): void {
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for (const s of subscribers) {
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try { s(); } catch { /* swallow */ }
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}
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}
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// v1.12.2: imported by useSessionStream's WS handler. Computes tps from the
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// gap between successive completion_tokens samples; first sample yields null
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// (we need two points). Skips zero-progress samples so a duplicate usage
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// frame doesn't push tps to 0.
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export function recordUsage(
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chatId: string,
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data: { completion_tokens: number | null; ctx_used: number | null; ctx_max: number | null },
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): void {
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const now = Date.now();
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const prev = entries.get(chatId);
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let tps: number | null = prev?.tps ?? null;
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if (
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prev &&
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data.completion_tokens != null &&
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prev.completion_tokens != null &&
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data.completion_tokens > prev.completion_tokens &&
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now > prev.recorded_at
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) {
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const dTokens = data.completion_tokens - prev.completion_tokens;
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const dSeconds = (now - prev.recorded_at) / 1000;
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tps = dTokens / dSeconds;
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}
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entries.set(chatId, {
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ctx_used: data.ctx_used,
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ctx_max: data.ctx_max,
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completion_tokens: data.completion_tokens,
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recorded_at: now,
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prev_completion_tokens: prev?.completion_tokens ?? null,
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prev_recorded_at: prev?.recorded_at ?? null,
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tps,
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});
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notify();
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}
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export function clearThroughput(chatId: string): void {
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if (entries.delete(chatId)) notify();
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}
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// Periodic sweep: re-notify so stale entries fall off the UI when the
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// stream ends without a follow-up frame. Light — one timer for the whole app.
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const G = globalThis as Record<string, unknown>;
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if (!G.__boocode_throughput_ticker) {
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G.__boocode_throughput_ticker = true;
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setInterval(() => {
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const now = Date.now();
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let touched = false;
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for (const [k, v] of entries) {
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if (now - v.recorded_at > STALE_MS) {
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entries.delete(k);
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touched = true;
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}
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}
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if (touched) notify();
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}, 2_000);
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}
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export function useChatThroughput(chatId: string | null | undefined): ThroughputSample | null {
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const [, force] = useState({});
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useEffect(() => {
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const sub = () => force({});
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subscribers.add(sub);
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return () => { subscribers.delete(sub); };
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}, []);
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if (!chatId) return null;
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const entry = entries.get(chatId);
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if (!entry) return null;
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if (Date.now() - entry.recorded_at > STALE_MS) return null;
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return { tps: entry.tps, ctx_used: entry.ctx_used, ctx_max: entry.ctx_max };
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}
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@@ -3,6 +3,7 @@ import { toast } from 'sonner';
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import type { Message, WsFrame } from '@/api/types';
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import { api } from '@/api/client';
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import { sessionEvents } from './sessionEvents';
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import { recordUsage } from './useChatThroughput';
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// session_renamed frame removed from WsFrame — it was declared but never
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// published on the per-session WS channel (server publishes via broker.publishUser
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@@ -125,6 +126,19 @@ function applyFrame(state: State, frame: WsFrame): State {
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);
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return { ...state, messages: next };
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}
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case 'usage': {
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// v1.12.2: live throughput. Side-effects into the module-level
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// singleton consumed by ChatThroughput; no message-state mutation.
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// chat_id is the optional ws-frame field; usage frames always include it.
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if (frame.chat_id) {
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recordUsage(frame.chat_id, {
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completion_tokens: frame.completion_tokens,
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ctx_used: frame.ctx_used,
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ctx_max: frame.ctx_max,
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});
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}
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return state;
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}
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case 'messages_deleted': {
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const removeSet = new Set(frame.message_ids);
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return {
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