Inital commit
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// Tier 1 perf harness for the agentic thread.
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//
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// Drives ChatMessageAgenticContent the way the real streaming pipeline does:
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// chat.svelte.ts -> conversations.svelte.ts:184 replaces the message object per
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// SSE chunk (`{ ...old, ...updates }`), which changes prop identity and cascades
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// through deriveAgenticSections into every tool-call block in the message.
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//
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// The fixture is parameterized so the *scaling curve* identifies the culprit -
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// a single number would not. See tests/client/README-perf.md.
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//
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// Run: npx vitest --project=client --run tests/client/agentic-stream.perf.svelte.test.ts
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import { describe, it } from 'vitest';
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import { render } from 'vitest-browser-svelte';
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import { tick } from 'svelte';
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import AgenticPerfWrapper from './components/AgenticPerfWrapper.svelte';
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import ChatMessagesPerfWrapper from './components/ChatMessagesPerfWrapper.svelte';
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import { perfState } from './components/agentic-perf-state.svelte';
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import { conversationsStore } from '$lib/stores/conversations.svelte';
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import type { DatabaseMessage } from '$lib/types';
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import { MessageRole } from '$lib/enums';
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// --- fixture construction -------------------------------------------------
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interface FixtureOpts {
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/** Completed tool-call sections preceding the streaming text. */
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priorToolCalls: number;
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/** Size of each tool result blob. */
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toolResultBytes: number;
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/** Number of edit_file calls (each a 400x400-line diff). */
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editFileEdits: number;
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/** Leave an unclosed ``` fence at the end of the streamed content. */
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openCodeFence: boolean;
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/**
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* Emit a blank line every N chunks so the content forms real markdown
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* blocks. 0 = one unbroken paragraph, which defeats MarkdownContent's
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* stable-block cache entirely (worst case). Typical prose has breaks.
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*/
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paragraphEvery: number;
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}
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const DEFAULTS: FixtureOpts = {
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priorToolCalls: 0,
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toolResultBytes: 1024,
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editFileEdits: 0,
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openCodeFence: false,
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paragraphEvery: 0
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};
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function blob(bytes: number, seed: string): string {
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const line = `${seed} output line with some representative width to it`;
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const n = Math.max(1, Math.ceil(bytes / (line.length + 1)));
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const out: string[] = [];
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for (let i = 0; i < n; i++) out.push(`${line} ${i}`);
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return out.join('\n');
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}
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function diffLines(n: number, seed: string): string {
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const out: string[] = [];
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for (let i = 0; i < n; i++) out.push(`${seed} line ${i} const value_${i} = compute(${i});`);
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return out.join('\n');
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}
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let msgSeq = 0;
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function baseMessage(overrides: Partial<DatabaseMessage>): DatabaseMessage {
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return {
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id: `m${msgSeq++}`,
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convId: 'perf-conv',
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type: 'text',
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timestamp: 0,
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role: MessageRole.ASSISTANT,
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content: '',
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parent: null,
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children: [],
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...overrides
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} as DatabaseMessage;
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}
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function buildFixture(opts: FixtureOpts): {
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message: DatabaseMessage;
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toolMessages: DatabaseMessage[];
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} {
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const toolCalls: unknown[] = [];
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const toolMessages: DatabaseMessage[] = [];
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for (let i = 0; i < opts.priorToolCalls; i++) {
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const id = `call_${i}`;
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toolCalls.push({
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id,
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type: 'function',
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function: {
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name: 'exec_shell_command',
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arguments: JSON.stringify({ command: `grep -rn "thing_${i}" src/` })
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}
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});
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toolMessages.push(
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baseMessage({
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role: MessageRole.TOOL,
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toolCallId: id,
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content: `${blob(opts.toolResultBytes, `t${i}`)}\n[exit code: 0]`
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})
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);
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}
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for (let i = 0; i < opts.editFileEdits; i++) {
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const id = `edit_${i}`;
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toolCalls.push({
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id,
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type: 'function',
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function: {
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name: 'edit_file',
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arguments: JSON.stringify({
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path: `/src/file_${i}.ts`,
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edits: [{ old_text: diffLines(400, 'old'), new_text: diffLines(400, 'new') }]
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})
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}
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});
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toolMessages.push(
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baseMessage({
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role: MessageRole.TOOL,
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toolCallId: id,
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content: JSON.stringify({ result: 'ok', edits_applied: 1 })
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})
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);
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}
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const message = baseMessage({
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toolCalls: toolCalls.length > 0 ? JSON.stringify(toolCalls) : undefined,
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content: ''
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});
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return { message, toolMessages };
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}
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// --- the driver -----------------------------------------------------------
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interface Sample {
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label: string;
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tokens: number;
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mean: number;
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p95: number;
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max: number;
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/** Sum of the synchronous per-token windows. */
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total: number;
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/** Wall-clock for the whole run incl. deferred rAF work, then settle. */
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wall: number;
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}
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function nextFrame(): Promise<void> {
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return new Promise((resolve) => requestAnimationFrame(() => resolve()));
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}
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const results: Sample[] = [];
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/**
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* Replays `tokens` streamed chunks, replacing the message object each time
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* exactly as conversations.svelte.ts:184 does, flushing Svelte and forcing
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* layout so the measurement includes render + style/layout, not just script.
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*/
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async function measure(label: string, partial: Partial<FixtureOpts>, tokens = 60) {
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const opts = { ...DEFAULTS, ...partial };
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const { message, toolMessages } = buildFixture(opts);
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perfState.message = message;
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perfState.toolMessages = toolMessages;
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perfState.isStreaming = true;
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// Every wrapper reads the same module state, so a leftover mount from a
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// previous fixture would re-render on each mutation and fold its cost into
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// this measurement. Tear down explicitly between fixtures.
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const { unmount } = render(AgenticPerfWrapper);
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await tick();
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const CHUNK = 'The quick brown fox jumps over the lazy dog. ';
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let accumulated = opts.openCodeFence ? '```notalanguage\n' : '';
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const durations: number[] = [];
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const wallStart = performance.now();
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for (let i = 0; i < tokens; i++) {
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accumulated += CHUNK;
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if (opts.paragraphEvery > 0 && (i + 1) % opts.paragraphEvery === 0) {
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accumulated += '\n\n';
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}
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const t0 = performance.now();
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// Mirrors updateMessageAtIndex: a brand-new object identity per chunk.
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perfState.message = { ...perfState.message!, content: accumulated };
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await tick();
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void document.body.offsetHeight; // force style + layout
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durations.push(performance.now() - t0);
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// MarkdownContent coalesces its parse into a rAF, so that work lands
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// outside the window above. Yield a frame each iteration so it is
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// captured in `wall` - the gap between `wall` and `total` is the
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// deferred cost.
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await nextFrame();
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}
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// Let any trailing coalesced work drain before stopping the clock.
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await nextFrame();
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await nextFrame();
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const wall = performance.now() - wallStart;
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await unmount();
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durations.sort((a, b) => a - b);
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const total = durations.reduce((a, b) => a + b, 0);
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results.push({
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label,
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tokens,
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mean: total / durations.length,
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p95: durations[Math.floor(durations.length * 0.95)],
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max: durations[durations.length - 1],
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total,
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wall
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});
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}
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function report() {
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const pad = (s: string, n: number) => s.padEnd(n);
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const num = (n: number) => n.toFixed(2).padStart(8);
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const header = `${pad('fixture', 40)}${pad('tok', 5)}${'mean'.padStart(8)}${'p95'.padStart(8)}${'max'.padStart(8)}${'sync'.padStart(9)}${'wall'.padStart(9)}`;
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const lines = [
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'',
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'=== Tier 1: ms per streamed token (agentic content subtree) ===',
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'mean/p95/max = synchronous window per token (script + style + layout).',
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'sync = sum of those windows.',
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'wall = whole run, incl. work MarkdownContent defers into its own rAF.',
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' NOTE: wall carries a ~16.7ms/token idle floor from the harness',
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' yielding a frame each iteration (60 tokens => ~1000ms floor).',
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' Compare wall ACROSS fixtures / against the baseline row,',
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' never against sync.',
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'',
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header,
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'-'.repeat(header.length)
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];
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for (const r of results) {
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lines.push(
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`${pad(r.label, 40)}${pad(String(r.tokens), 5)}${num(r.mean)}${num(r.p95)}${num(r.max)}${num(r.total)}${num(r.wall)}`
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);
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}
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lines.push('');
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console.log(lines.join('\n'));
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}
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// --- conversation-level driver --------------------------------------------
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// The per-message driver above cannot see the fan-out in ChatMessages: a single
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// token mutation invalidates `displayMessages`, which rebuilds a fresh
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// toolMessages array for EVERY message in the conversation. Drive the real
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// store through the real list component to measure that.
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async function measureConversation(
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label: string,
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priorMessages: number,
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tokens = 60,
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/**
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* Give each prior assistant turn a resolved tool call, so the fixture pays
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* `hasAgenticContent`'s JSON.parse and the tool-message grouping walk that a
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* real agent thread would - plain prose messages skip both.
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*/
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agentic = false
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) {
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const history: DatabaseMessage[] = [];
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for (let i = 0; i < priorMessages; i++) {
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const isAssistant = i % 2 !== 0;
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if (isAssistant && agentic) {
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const id = `prior_call_${i}`;
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history.push(
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baseMessage({
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role: MessageRole.ASSISTANT,
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content: `Message ${i}`,
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toolCalls: JSON.stringify([
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{
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id,
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type: 'function',
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function: {
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name: 'exec_shell_command',
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arguments: JSON.stringify({ command: `grep -rn "thing_${i}" src/` })
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}
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}
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])
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})
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);
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history.push(
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baseMessage({
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role: MessageRole.TOOL,
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toolCallId: id,
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content: `${blob(1024, `r${i}`)}\n[exit code: 0]`
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})
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);
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continue;
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}
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history.push(
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baseMessage({
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role: isAssistant ? MessageRole.ASSISTANT : MessageRole.USER,
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content: `Message ${i}: ${blob(512, `m${i}`)}`
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})
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);
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}
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const streaming = baseMessage({ role: MessageRole.ASSISTANT, content: '' });
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history.push(streaming);
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conversationsStore.activeMessages = history;
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const { unmount } = render(ChatMessagesPerfWrapper);
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await tick();
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const idx = conversationsStore.findMessageIndex(streaming.id);
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const CHUNK = 'The quick brown fox jumps over the lazy dog. ';
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let accumulated = '';
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const durations: number[] = [];
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const wallStart = performance.now();
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for (let i = 0; i < tokens; i++) {
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accumulated += CHUNK;
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const t0 = performance.now();
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// The real path: chat.svelte.ts -> conversations.svelte.ts.
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conversationsStore.updateMessageAtIndex(idx, { content: accumulated });
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await tick();
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void document.body.offsetHeight;
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durations.push(performance.now() - t0);
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await nextFrame();
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}
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await nextFrame();
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await nextFrame();
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const wall = performance.now() - wallStart;
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await unmount();
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conversationsStore.activeMessages = [];
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durations.sort((a, b) => a - b);
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const total = durations.reduce((a, b) => a + b, 0);
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results.push({
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label,
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tokens,
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mean: total / durations.length,
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p95: durations[Math.floor(durations.length * 0.95)],
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max: durations[durations.length - 1],
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total,
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wall
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});
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}
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// --- the matrix -----------------------------------------------------------
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// Sequential, in one test, so the table prints together and the samples do not
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// interleave with other suites competing for the main thread.
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describe('agentic streaming perf', () => {
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it('scales', { timeout: 600_000 }, async () => {
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// Baseline: plain text streaming, nothing agentic.
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await measure('baseline: no tool calls', {});
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// Knob: priorToolCalls. Flat => no fan-out. Linear => fan-out confirmed.
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await measure('priorToolCalls=1 (1KB results)', { priorToolCalls: 1 });
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await measure('priorToolCalls=5 (1KB results)', { priorToolCalls: 5 });
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await measure('priorToolCalls=20 (1KB results)', { priorToolCalls: 20 });
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// Knob: toolResultBytes, at fixed section count.
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await measure('5 calls x 200KB results', {
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priorToolCalls: 5,
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toolResultBytes: 200 * 1024
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});
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// Knob: editFileEdits (computeLineDiff, 400x400 LCS).
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await measure('3 edit_file calls (400x400 diff)', { editFileEdits: 3 });
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// Knob: openCodeFence (hljs highlightAuto on partial code).
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await measure('open code fence, unknown language', { openCodeFence: true });
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// Conversation level: does streaming one message cost more as the
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// conversation grows? Flat => no fan-out. Linear => confirmed.
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await measureConversation('convo: 1 prior message', 1);
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await measureConversation('convo: 10 prior messages', 10);
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await measureConversation('convo: 40 prior messages', 40);
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// Same, but each prior assistant turn carries a resolved tool call.
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await measureConversation('convo: 10 prior, agentic', 10, 60, true);
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await measureConversation('convo: 40 prior, agentic', 40, 60, true);
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// Message length: MarkdownContent re-parses the whole accumulated string
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// each frame, so per-token cost should climb as the response grows.
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// A rising mean across these three rows means O(n^2) over the stream.
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// One unbroken paragraph: worst case, stable-block cache never applies.
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await measure('len 60tok 1-para (worst case)', {}, 60);
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await measure('len 250tok 1-para (worst case)', {}, 250);
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await measure('len 600tok 1-para (worst case)', {}, 600);
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// Same lengths, broken into paragraphs every 8 chunks: the typical shape,
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// where only the trailing paragraph should be unstable.
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await measure('len 60tok paras (typical)', { paragraphEvery: 8 }, 60);
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await measure('len 250tok paras (typical)', { paragraphEvery: 8 }, 250);
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await measure('len 600tok paras (typical)', { paragraphEvery: 8 }, 600);
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report();
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});
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});
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