chore: import upstream snapshot with attribution
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# CPU Performance Integration Test Harness
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## Overview
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This directory contains performance/CPU integration tests for the Gemini CLI.
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These tests measure wall-clock time, CPU usage, and event loop responsiveness to
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detect regressions across key scenarios.
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CPU performance is inherently noisy, especially in CI. The harness addresses
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this with:
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- **IQR outlier filtering** — discards anomalous samples
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- **Median sampling** — takes N runs, reports the median after filtering
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- **Warmup runs** — discards the first run to mitigate JIT compilation noise
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- **15% default tolerance** — won't panic at slight regressions
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## Running
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```bash
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# Run tests (compare against committed baselines)
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npm run test:perf
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# Update baselines (after intentional changes)
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npm run test:perf:update-baselines
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# Verbose output
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VERBOSE=true npm run test:perf
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# Keep test artifacts for debugging
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KEEP_OUTPUT=true npm run test:perf
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```
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## How It Works
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### Measurement Primitives
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The `PerfTestHarness` class (in `packages/test-utils`) provides:
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- **`performance.now()`** — high-resolution wall-clock timing
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- **`process.cpuUsage()`** — user + system CPU microseconds (delta between
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start/stop)
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- **`perf_hooks.monitorEventLoopDelay()`** — event loop delay histogram
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(p50/p95/p99/max)
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### Noise Reduction
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1. **Warmup**: First run is discarded to mitigate JIT compilation artifacts
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2. **Multiple samples**: Each scenario runs N times (default 5)
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3. **IQR filtering**: Samples outside Q1−1.5×IQR and Q3+1.5×IQR are discarded
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4. **Median**: The median of remaining samples is used for comparison
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### Baseline Management
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Baselines are stored in `baselines.json` in this directory. Each scenario has:
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```json
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{
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"cold-startup-time": {
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"wallClockMs": 1234.5,
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"cpuTotalUs": 567890,
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"eventLoopDelayP99Ms": 12.3,
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"timestamp": "2026-04-08T..."
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}
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}
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```
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Tests fail if the measured value exceeds `baseline × 1.15` (15% tolerance).
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To recalibrate after intentional changes:
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```bash
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npm run test:perf:update-baselines
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# then commit baselines.json
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```
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### Report Output
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After all tests, the harness prints an ASCII summary:
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```
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═══════════════════════════════════════════════════
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PERFORMANCE TEST REPORT
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═══════════════════════════════════════════════════
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cold-startup-time: 1234.5 ms (Baseline: 1200.0 ms, Delta: +2.9%) ✅
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idle-cpu-usage: 2.1 % (Baseline: 2.0 %, Delta: +5.0%) ✅
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skill-loading-time: 1567.8 ms (Baseline: 1500.0 ms, Delta: +4.5%) ✅
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```
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## Architecture
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```
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perf-tests/
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├── README.md ← you are here
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├── baselines.json ← committed baseline values
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├── globalSetup.ts ← test environment setup
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├── perf-usage.test.ts ← test scenarios
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├── perf.*.responses ← fake API responses per scenario
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├── tsconfig.json ← TypeScript config
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└── vitest.config.ts ← vitest config (serial, isolated)
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packages/test-utils/src/
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├── perf-test-harness.ts ← PerfTestHarness class
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└── index.ts ← re-exports
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```
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## CI Integration
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These tests are **excluded from `preflight`** and designed for nightly CI:
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```yaml
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- name: Performance regression tests
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run: npm run test:perf
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```
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## Adding a New Scenario
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1. Add a fake response file: `perf.<scenario-name>.responses`
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2. Add a test case in `perf-usage.test.ts` using `harness.runScenario()`
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3. Run `npm run test:perf:update-baselines` to establish initial baseline
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4. Commit the updated `baselines.json`
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